Systemic Oxidative Stress Parameters in Skin Cancer Patients and Patients with Benign Lesions

Karampinis, Emmanouil; Nechalioti, Paraskevi-Maria; Georgopoulou, Konstantina Eirini; Goniotakis, George; Roussaki Schulze, Angeliki Viktoria; Zafiriou, Efterpi; Kouretas, Demetrios

doi:10.3390/stresses3040054

Open AccessReview

Systemic Oxidative Stress Parameters in Skin Cancer Patients and Patients with Benign Lesions

by

Emmanouil Karampinis

^1,2,*

,

Paraskevi-Maria Nechalioti

³,

Konstantina Eirini Georgopoulou

⁴,

George Goniotakis

²,

Angeliki Viktoria Roussaki Schulze

¹,

Efterpi Zafiriou

¹

and

Demetrios Kouretas

³

¹

Department of Dermatology, Faculty of Medicine, School of Health Sciences, University General Hospital of Larissa, University of Thessaly, 41110 Larissa, Greece

²

Department of Medicine, Hellenic Naval Academy, 18539 Piraeus, Greece

³

Department of Biochemistry and Biotechnology, University of Thessaly, Viopolis, Mezourlo, 41500 Larissa, Greece

⁴

Department of Dermatology, General Hospital of Nikaia Pireus “Agios Panteleimon”-General Hospital of West Attica “Agia Varvara”,12351 Athens, Greece

^*

Author to whom correspondence should be addressed.

Stresses 2023, 3(4), 785-812; https://doi.org/10.3390/stresses3040054

Submission received: 21 October 2023 / Revised: 23 November 2023 / Accepted: 27 November 2023 / Published: 29 November 2023

(This article belongs to the Special Issue Cancer and Stresses 2.0)

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Abstract

:

Oxidative stress is caused by an imbalance between the production and subsequent accumulation of reactive oxygen species (ROS) in cells and tissues and the capacity of a biological system to eliminate these reactive substances. Systemic oxidative stress biomarkers in plasma, serum, urine, or red blood cells have been found to be elevated in many diseases, including skin cancer. UV radiation (UVR) induces damage to biomolecules that enter the bloodstream, reinforcing systemic oxidative stress. On the other hand, pre-existing systemic oxidative stress does not supply the skin with the adequate micronutrients and antioxidant resources to ameliorate the skin’s antioxidant defense against UVR. In both scenarios, skin cancer patients are exposed to oxidative conditions. In the case of warts, oxidation is linked to chronic inflammation, while impaired cutaneous antioxidant defense could ineffectively deal with possible oxidative stimuli from viral agents, such as HPV. Therefore, the aim of our study is to evaluate the existing data on systemic oxidative stress in skin diseases such as non-melanoma skin cancer (NMSC), basal-cell carcinoma (BCC), squamous-cell carcinoma (SCC), and melanoma as well as benign lesions such as actinic keratosis (AK), sebaceous keratosis (SK), and warts. Previous studies have demonstrated that patients with NMSC, melanoma, AK, and warts (both genital and non-genital) are subjected to severe oxidative stress, indicated by disturbed antioxidant enzyme levels, accumulated oxidized proteins and lipid products, and, to a lesser extent, lower concentrations of micronutrients. Interestingly, medical history of NMSC or melanoma as well as stage of skin cancer and treatment approach were found to affect systemic oxidative stress parameters. In the case of warts (both genital and non-genital), high oxidative stress levels were also detected, and they were found to be aligned with their recalcitrant character.

Keywords:

BCC; SCC; melanoma; systemic oxidative stress; wart; actinic keratosis; sebaceous keratosis; glutathione; catalase; lipid peroxidation; protein carbonylation; micronutrients

1. Introduction

1.1. The Concept of Oxidative Stress

Oxidative stress is a term used to describe a disturbance of equilibrium between the generation of reactive oxygen species (ROS) within cells and tissues and the ability of a biological system to eliminate these reactive substances. ROS include radical and non-radical oxygen derivatives formed by the partial reduction of oxygen such as superoxide anions (O₂•−), hydrogen peroxide (H₂O₂), and hydroxyl radicals (HO•) [1]. External stressors, like UV radiation, ionizing radiation, pollutants, and heavy metals, along with xenobiotic substances like anticancer drugs substantially raise ROS production. Excessive levels of ROS cause harmful outcomes and, if not mitigated adequately by the enzymatic and non-enzymatic antioxidant mechanisms of the targeted cell or tissue, they induce modifications of significant biomolecules, processes implicated in the pathophysiology of diseases [1]. It is worth mentioning that ROS serve a dual role in living systems, contributing to important cellular functions in low or moderate levels. More specifically, they act beneficially as mediators of immunity [2] and intracellular signaling pathways [3]. They are also involved in cellular proliferation, differentiation, and programmed cell death [4].

In order to determine oxidative stress levels, most studies evaluate the enzymatic and non-enzymatic mechanisms activated by a given cell, tissue, or organism to deal with the oxidative changes mediated by the contributing stressor. Usually, the findings are compared with the respective results in the control group or individuals that were not exposed to the oxidative factor. In the case of disease, in the majority of cases, patients with a specific disease and occasionally with certain eligible criteria (a certain disease severity or patients without any intervention or medical treatment, etc.) are compared to disease-free individuals in terms of oxidative stress parameters. These parameters can be evaluated in erythrocytes, biological fluids (plasma, serum, or urine), or a specific tissue (for example a skin biopsy), reflecting the redox status of the specific system [5].

The most important enzymes that cells are armed with are superoxide dismutase (SOD), glutathione peroxidase (GP_X), glutathione reductase (GR), and catalase (CAT). Firstly, SOD catalyzes the dismutation of superoxide anion free radicals (O₂•−) into molecular oxygen and hydrogen peroxide (H₂O₂). Secondly, hydrogen peroxide is subsequently reduced to water by the enzymatic actions of GP_X and CAT [1]. GPx catalyzes this reaction via the oxidation of reduced GSH into its disulfide form (GSSH), while GR replenishes cellular GSH levels by converting GSSG into its reduced form using NADPH as a cofactor [6]. Studies usually determine the activity of those enzymes to assess oxidative stress. For example, reduced GPx-1 activity can increase vulnerability to oxidative stress by permitting the buildup of ROS, while excess GPx-1 might foster reductive stress, marked by an insufficient presence of necessary ROS required for cellular signaling functions [6].

Non-enzymatic molecules can also have antioxidant capacities, inactivating radicals and oxidants. Minerals exert their antioxidant action through involvement in certain enzymatic reactions. For example, in the case of Zn, the SOD1 enzyme comprises an eight-stranded β-barrel with one Cu and Zn ion bound in each monomer. Their presence is crucial for the catalytic activity of the enzyme. Besides this, zinc competes with iron (Fe) and copper (Cu) ions for binding to cell membranes and proteins, displacing these redox-active metals, which catalyze the production of ⋅OH from H₂O₂ [7]. Generally, the most important antioxidant micronutrients are vitamins A, C, and E, copper, zinc, and selenium [8].

Besides the focus on innate protection against oxidative stress, it is common for studies to assess the impact of oxidative stress on cellular components like DNA, lipids, and proteins. Oxidative modifications can lead to the production of 8-oxoguanine (also called 8-hydroxyguanine), a tautomer of guanine in nucleic acids that is formed when DNA is exposed to excessive ROS. As a result, 8-oxoguanine has gained significant recognition as a biomarker of oxidative damage [9]. As an index for lipid peroxidation, thiobarbituric acid reactive substance (TBARS) assay is a frequently used method. This assay measures malondialdehyde (MDA), a breakdown product originating from the oxidation of lipid substrates, specifically from an endoperoxide of unsaturated fatty acids [10]. 15-F2t-isoprostane is also a lipid peroxidation product that is a frequently used oxidative stress marker [11].

As for the impact of oxidative stress on proteins, protein carbonylation, which is the most common form of protein oxidation, is an irreversible process that promotes protein degradation. Advanced byproducts of lipid peroxidation such as 4-Hydroxy-2-nonenal (4-HNE) and MDA, regarded as reactive carbonyl species, have been correlated with protein modifications [12]. Another relevant mechanism involves the oxidation of sulfur-containing amino acids, present in thiols [13]. These intracellular compounds are especially susceptible to direct oxidation by ROS due to their strong nucleophilic properties. The oxidation of these thiols leads to changes in the structure and function of proteins [12,13].

Regarding antioxidant micronutrients, vitamin A, or retinol, and carotenoids exhibit their antioxidant properties through a hydrophobic chain composed of polyene units. This chain has the capability to extinguish singlet oxygen and to counteract thiol radicals, as well as to enhance the stability of peroxyl radicals. Secondly, vitamin C is chemically capable of reacting with most of the physiologically important radicals and oxidants and acts as a proven hydrosoluble antioxidant, while vitamin E is a fat-soluble antioxidant that terminates the production of ROS that forms when fat undergoes oxidation. Therefore, the recognition of a reduced quantity of serum macronutrients may be indicative of oxidative stress [14].

It is important to outline that each study may use a different technique or different protocol to assess the same oxidative stress parameter, rendering the exclusion of definite or additive conclusions challenging. Also, it is worth mentioning that oxidative stress markers can differ between several samples of the same organism (tissue or type of cell). For example, in the case of psoriasis, in research conducted by Yldirim and colleagues, serum MDA levels in individuals with psoriasis were not notably elevated compared to those in the control group. Nonetheless, higher lipid peroxidation levels were observed in samples obtained by lesional skin biopsies, indicating different oxidative stress parameters between cutaneous and systemic oxidative stress [15].

1.2. Oxidative Stress in Dermatology—The Interaction between Cutaneous and Systemic Oxidative Stress

Oxidative stress has been widely investigated in dermatology and skin diseases. Reviews focusing on common dermatoses such as acne [16], psoriasis [17], and atopic dermatitis [18] have been published recently, indicating it as a contributor factor in the pathogenesis of the focus disease. Oxidative stress is considered part of the internal exposome and, along with other contributors such as genetic variants and internal organism characteristics like the microbiota and metabolics, predisposes an individual to disease. External contributors, including diet and exercise, in turn affect systemic oxidative stress [19]. However, a question occurs on how a skin disease, or a skin stressor, can affect systemic oxidative stress and, on the contrary, how the latter is associated with cutaneous oxidative stress.

As mentioned previously, exposure to ultraviolet radiation (UVR) serves as the primary trigger for ROS production in the skin and the main etiology of skin cancer. The spectrum of wavelengths responsible for this effect predominantly falls within the UVA range (320–400 nm), although there is some overlap with the UVB region (280–315 nm). The process of ROS generation following UVA and UVB irradiation is based on the absorption of photons by intrinsic photosensitizer molecules like cytochromes, riboflavin, heme, and porphyrin. Following exposure to sunlight, damaged biomolecules and signaling molecules resulting from UV exposure can permeate into the bloodstream, thereby inducing systemic oxidative stress. Also, skin cancer cells produce excessive ROS by themselves [20]. This is the reason why skin cancer patients tend to have high levels of systemic oxidative stress [21]. Also, patients with certain gene polymorphisms have misfunctioning antioxidant enzymes [22]. In this case, the default found in red blood cells (RBCs) would be present in every cell of the same organism, including skin keratinocytes, fibroblasts, and melanocytes, forming a generalized flawed antioxidant defense [23]. As for inflammatory dermatoses, systemic inflammation corresponds to systemic oxidative stress [24].

The reverse relationship has been also observed, indicating that systemic oxidative stress can affect skin integrity. Notably, the consumption of certain antioxidants can ameliorate systemic oxidative stress and subsequently reduce skin disorder severity. For example, flavonoids can act beneficially, as they can repair damaged biomolecules and enhance the activities of antioxidant enzymes such as superoxide dismutase, catalase, and glutathione peroxidase respectively. In the case of skin cancer patients, it has been proven that dietary flavonoid-rich polyphenols exert skin-protective effects against the potential hazards of UV-induced skin cancers by reducing cutaneous inflammation and oxidative stress [25].

1.3. Oxidative Stress and Skin Cancer

Skin cancer encompasses melanoma and non-melanoma skin cancer (NMSC) and represents the most prevalent form of cancer among individuals of Caucasian ethnicity. Non-melanoma skin cancers predominantly comprise basal-cell carcinoma (BCC) and cutaneous squamous-cell carcinoma (SCC), alongside some less common skin tumors. BCC originates from the basal layer of the epidermis and its associated structures, whereas SCC emerges from the unregulated growth of atypical epidermal keratinocytes. Melanoma, a malignant tumor arising from melanocytes, is the deadliest form of skin cancer, being capable of metastasizing to both regional and distant sites [26].

1.3.1. Oxidative Stress and NMSC

NMSC initiation is influenced by a combination of environmental triggers, phenotypic characteristics (including lighter skin tones with less natural protection), and genetic factors that make the individual more prone to oxidative stress in the skin microenvironment. Among environmental factors, exposure to UVR stands out as the most significant risk factor, due to the induction of DNA damage, particularly in the UVB range of 290–320 nm, which produces two major types of lesions: cyclobutene pyrimidine dimers (CPDs) and 6–4 photoproducts (6-4PPs). If this damage is not repaired by nucleotide excision repair mechanisms, its products can disrupt proper base-pairing and impede vital cellular processes such as transcription and replication [5,27]. These harmful modifications may lead to progressive alterations in genes, including tumor suppressor genes and proto-oncogenes, eventually resulting in the formation of tumors. In the case of BCC, for example, exposure to UVR and oxidative stress promote mutations in the PTCH (patched-1) gene located on the cell membrane, resulting in an abnormal activation of the hedgehog signaling pathway. This, in turn, plays a significant role in the development of BCC [28]. Newer studies make efforts to relate oxidative stress and skin cancer, especially NMSC, with a third parameter, more frequently a third exposome variant such as the skin microbiome [29] and vitamin D adequacy [5].

1.3.2. Oxidative Stress and Melanoma

Considering cases of NMSC, melanoma is related to exceptionally high oxidative stress levels. Melanocytes, due to their physical location, are directly exposed to environmental stressors, such as UV radiation, that induce oxidative stress. Also, melanocytes are particularly susceptible to oxidative changes due to the pro-oxidant state generated during the synthesis of melanin and the intrinsic antioxidant defenses that may be disrupted in pathologic conditions. Damaged cellular components formed by elevated ROS disturb the structural integrity and functionality of cells. Ion channels can be stimulated or blocked depending on the intensity of oxidative stress, determining melanoma progression. As a consequence, ion channels and oxidative stress may serve as possible therapy targets [30,31].

1.4. Oxidative Stress and Benign Skin Lesions

Data regarding benign skin lesions and oxidative stress seem to be less abundant compared to those on skin cancer, probably due to the benign nature of the lesions. Actinic keratosis results from UV-provoked dysplastic proliferations of keratinocytes with the potential for malignant transformation, considered pre-malignant lesions. Actinic keratosis tends to follow, just as skin cancer, the general terms of UV-induced oxidative stress discussed above [5]. Secondly, seborrheic keratoses (SKs) are very common benign epithelial skin tumors due to skin aging, chronic UV exposure, and possibly the involvement of HPV [32]. The above-mentioned etiological factors are closely related to oxidative stress.

1.5. Oxidative Stress and Warts

Warts are mucocutaneous growths caused by the human papillomavirus (HPV). To date, over 200 different types of HPV have been identified, with warts commonly associated with HPV types 1, 2, 4, and 7. In immunosuppressed patients, HPV types 75, 76, and 77 have been observed. HPV infects host cells without integrating viral DNA into the host genome. In the case of HPV infection, viral infection does not trigger a state of prolonged inflammation. This is primarily due to the fact that the virus initially infects basal epithelial cells, which are protected from circulating immune cells during the early phases of infection. However, it is worth noting that ROS and reactive nitrogen species (RNS) could potentially play a role in the progression of viral-induced wart formation and, rarely, HPV-related carcinogenesis. Oxidative stress can significantly impact both processes, ultimately establishing favorable conditions for effective viral integration. Then, HPV-transformed cells may avoid apoptosis by the expression of the viral E6 protein, which promotes the ubiquitination and subsequent proteolytic degradation of the cellular protein p53. Furthermore, oxidative-stress-mediated regulation of viral oncogenes at the level of transcriptional activation may lead to HPV carcinogenesis [33]. Beyond the skin, oxidative stress has been found to be present in patients with HPV-related CIN [34] and medical history of multiple HPV infections [33].

Both skin cancer and lesions with benign and pre-malignant capacities are related to oxidative stress. In studies evaluating oxidative stress parameters of patients with skin diseases, authors tend to give a more holistic approach by measuring systemic oxidative stress in patients’ blood samples [5]. However, this assessment might reflect oxidative stress caused by other systemic diseases such as hypertension, diabetes, and a medical history of heart attacks. Systemic oxidative stress is a general but important term which includes processes ranging from damage at the cellular level to aging and traces of immune dysfunction in antioxidant mechanisms that can result in disease development. Therefore, our review aims to collect studies focused on systemic oxidative stress in NMSC and melanoma as well as patients with benign lesions (AK, SK, and warts), provide a biological-system-specific assessment of skin disease patients, and further investigate the vicious circle between systemic and cutaneous oxidative stress.

2. Result and Methods

In order to perform our narrative review, we searched PubMed articles published until the end of April 2023 based on terms such as “melanoma” OR “Non-melanoma skin cancer” OR “BCC” OR “cutaneous SCC” OR “actinic keratosis” OR “seborrheic keratosis “ OR “ warts” AND “oxidative stress” OR “glutathione” OR “catalase” OR “ TBARS” OR “ carbonyls” OR “ vitamin A” OR “ vitamin C” OR “zinc” OR “selenium” OR “ vitamin E”. Where no results were found, we expanded our research beyond PubMed. Eligible criteria were references to systemic oxidative stress parameters in skin cancer patients or patients with benign lesions such as actinic keratosis and seborrheic keratosis and their comparison with the respective parameters in a control group. As systemic oxidative stress markers, we considered oxidative stress parameters assessed either in the bloodstream, plasma, serum, RBCs, or urine. Excluded studies were those that assessed only cutaneous and not systemic oxidative stress and those that determined alterations in oxidative stress following antioxidant supplementation. Comparisons based on child populations were excluded.

Following our research, we found fourteen studies on NMSC, fifteen studies on melanoma, four studies on benign lesions (we expanded our research on SK, as no results were found on PubMed, and we included one study on SK), and seven studies on warts. In the following tables, the selected studies are presented, including references, the biological system based on which oxidative stress parameters were assessed, redox biomarkers, the method used, and the outcome of the comparison. Statistical significance was determined by the original studies.

BCC patients were detected in ten studies, of which three reported enzymatic mechanisms, five included oxidative stress byproducts, and seven reported antioxidant vitamin concentrations. The studies revealed 50 comparisons between BCC patients and other groups, such as healthy individuals, patients with another type of NMSC, patients with medical history of NMSC excision, or patients with AK. Comparison of BCC patients with patients with AK or SCC is indicative of a comparison with sun-exposed patients.Table 1, Table 2, Table 3, Table 4 and Table 5 detail studies on NMSC patients, Table 6, Table 7 and Table 8 on melanoma patients, Table 9 on benign lesion patients, and Table 10 and Table 11 on wart patients.

Table 1. Comparisons of enzymatic antioxidants (catalase, glutathione peroxidase (GPx), superoxide dismutase (SOD), and NAD(P)H:quinone oxidoreductase 1 (NQO1)) detected in BCC patients with a comparison study group. The method used is described in each case. The results refer only to statistically significant differences found by the authors of the respective studies.

Study	Patients	Tested	Method Used	Redox Biomarker	Result
[5]	BCC vs. control	Erythrocytes	[35]	Catalase (U/mg Hb)	No significant difference detected
[5]	BCC vs. AK	Erythrocytes	[35]	Catalase (U/mg Hb)	No significant difference detected
[5]	BCC vs. SCC	Erythrocytes	[35]	Catalase (U/mg Hb)	No significant difference detected
[36]	BCC vs. control	Plasma	Kit protocol from Cayman Chemical (Ann Arbor, MI, USA)	Catalase activity (unit/mg protein)	Lower in BCC patients than control
[36]	BCC vs. medical history of NMSC (BCC)	Plasma	Kit protocol from Cayman Chemical (Ann Arbor, MI)	Catalase activity (unit/mg protein)	Lower in BCC patients than NMSC-excised patients
[36]	BCC vs. control	Plasma	[37]	GPx (unit/mg protein)	Lower in BCC patients than control
[36]	BCC vs. medical history of NMSC (BCC)	Plasma	[37]	GPx (unit/mg protein)	Lower in BCC patients than NMSC-excised patients
[36]	BCC vs. control	Plasma	[38] and kit protocol from Cayman Chemical (Ann Arbor, MI)	SOD (unit/mg protein)	Higher in BCC than control
[36]	BCC vs. medical history of NMSC (BCC)	Plasma	[38] and kit protocol from Cayman Chemical (Ann Arbor, MI)	SOD (unit/mg protein)	No significant difference detected
[36]	BCC vs. control	Plasma	[39]	NQO1 (µmol 2,6-dichloroindophenol reduced/min/mg protein)	Lower in BCC patients than control
[36]	BCC vs. medical history of NMSC (BCC)	Plasma	[39]	NQO1 (µmol 2,6-dichloroindophenol reduced/min/mg protein)	Lower in BCC patients than NMSC-excised patients

Interestingly, three studies [5,36,40] included eleven comparisons concerning antioxidant enzymes, four of which showed no statistically significant differences (Table 1). Worth mentioning is NAD(P)H:quinone oxidoreductase 1 (NQO1), which is a crucial cellular defense enzyme against oxidative stress.

Table 2. Comparisons of non-enzymatic antioxidants, including metabolic antioxidants and dietary micronutrients, detected in BCC patients compared with a study group.

Study	Patients	Tested	Method Used	Redox Biomarker	Result
[5]	BCC vs. control	Erythrocytes	[35]	GSH (μmol/g Hb)	Lower in BCC patients than control
[5]	BCC vs. AK	Erythrocytes	[35]	GSH (μmol/g Hb)	No significant difference detected
[5]	BCC vs. SCC	Erythrocytes	[35]	GSH (μmol/g Hb)	No significant difference detected
[36]	BCC vs. control	Plasma	DTNB enzymatic recycling method following kit protocol from Sigma-Aldrich (St. Louis, MO, USA)	GSH (µmol/mg protein)	Higher in BCC than control
[36]	BCC vs. medical history of NMSC (BCC)	Plasma	DTNB enzymatic recycling method following kit protocol from Sigma-Aldrich (MO, USA)	GSH (µmol/mg protein)	No significant difference detected
[40]	BCC vs. control	Erythrocytes	[41]	GSH (mg/dL)	Lower in BCC patients compared to control
[40]	BCC vs. AK	Erythrocytes	[41]	GSH (mg/dL)	Lower in BCC patients compared to AK
[5]	BCC vs. control	Plasma	[42]	TAC (mmol DPPH/L)	Lower in BCC patients than control
[5]	BCC vs. AK	Plasma	[42]	TAC (mmol DPPH/L)	No significant difference detected
[5]	BCC vs. SCC	Plasma	[42]	TAC (mmol DPPH/L)	No significant difference detected
[40]	BCC vs. control	Plasma	[43]	Ascorbic acid (mg/dL)	Lower in BCC patients compared to control
[40]	BCC vs. AK	Plasma	[43]	Ascorbic acid (mg/dL)	No significant difference detected
[40]	BCC vs. control	Plasma	[44]	a-tocopherol (mg/L)	Lower in BCC patients compared to control
[40]	BCC vs. AK	Plasma	[44]	a-tocopherol (mg/L)	Lower in BCC patients compared to AK
[45]	NMSC (BCC included)	Serum	[46]	Carotenoids (μmol/L)	No significant difference detected
[45]	NMSC (BCC included)	Serum	[46]	Selenium (μmol/L)	Lower in patients with NMSC
[45]	NMSC (BCC included)	Serum	[47]	a-tocopherol (μmol/L)	No significant difference detected
[48]	BCC vs. controls	Serum	[46]	Carotenoids (μmol/L)	No significant difference detected
[48]	BCC vs. controls	Serum	[46]	a-tocopherol (μmol/L)	No significant difference detected
[49]	BCC vs. controls	Serum	HPLC analysis (described in [50])	a-tocopherol (μg/mL)	No significant difference detected
[49]	BCC vs. controls	Serum	HPLC analysis (described in [50])	Retinol (μg/mL)	Lower in BCC patients than control
[51]	BCC vs. controls	Serum	[52]	Selenium (μg/dL)	No significant difference detected
[51]	BCC vs. controls	Serum	[53]	b-carotenoid (μg/dL)	No significant difference detected
[51]	BCC vs. controls	Serum	[53]	a-tocopherol (mg/dl)	No significant difference detected
[51]	BCC vs. controls	Serum	[53]	Retinol (μg/dL)	Higher in BCC patients compared to control
[54]	BCC vs. controls	Serum	Atomic absorption spectroscopy (AAS)	Zinc (μg/dL)	Lower in BCC than control
[40]	BCC vs. control	Plasma	[55]	Total thiol groups (mmol/L)	Lower in BCC patients compared to control
[40]	BCC vs. AK	Plasma	[55]	Total thiol groups (mmol/L)	No significant difference detected

The micronutrient concentrations under comparison included ascorbic acid, selenium, carotenoids, vitamin E (a-tocopherol), vitamin A (retinol), and zinc. Ten of these indicated no statistical significance (Table 2). TAC assay is also included, as it refers to the cumulative action of several antioxidant components [35]. Other molecules with antioxidant capacities detected were glutathione (GSH) and total thiol groups, as plasma total sulfhydryl groups have also been suggested to contribute significantly to the antioxidant capacity of plasma [55]. Different results were observed concerning the same micronutrient marker, such as serum a-tocopherol in comparisons of BCC patients vs. controls. In total, no significant differences were found in 15 out of 28 comparisons.

Table 3. Comparisons of markers of oxidative damage to proteins, lipids, or DNA detected in BCC patients compared with a study group.

Study	Patients	Tested	Method Used	Redox Biomarker	Result
[5]	BCC vs. control	Plasma	[56]	TBARS (μmol/L)	Higher in BCC patients than control
[5]	BCC vs. control	Plasma	[57]	CARBS (nmol/mg protein)	No significant difference detected
[5]	BCC vs. AK	Plasma	[56]	TBARS (μmol/L)	No significant difference detected
[5]	BCC vs. AK	Plasma	[57]	CARBS (nmol/mg protein)	No significant difference detected
[5]	BCC vs. SCC	Plasma	[56]	TBARS (μmol/L)	No significant difference detected
[5]	BCC vs. SCC	Plasma	[57]	CARBS (nmol/mg protein)	Higher in SCC patients than BCC
[36]	BCC vs. controls	Urine	Competitive enzyme immunoassay (STA-320, Cell Biolabs, San Diego, CA, USA)	8-oxo-dGuo levels (ng/mg creatinine)	Higher in BCC patients than control
[36]	BCC vs. medical history of NMSC (BCC)	Urine	Competitive enzyme immunoassay (STA-320, Cell Biolabs, San Diego, CA, USA)	8-oxo-dGuo levels (ng/mg creatinine)	No significant difference detected
[58]	NMSC (BCC and SCC) vs. controls	Peripheral blood	[59]	H₂O₂-induced DNA damage (mean tail length after H₂O₂)—(basal mean tail length)	H₂O₂-induced DNA damage was significantly higher in NMSC (BCC and SCC) than in control
[54]	BCC vs. controls	Serum	Colorimetric assay, protocol kit by Sigma-Aldrich Company, catalog number MAK085	MDA (nmol/mL)	Higher in BCC than control

The impact of oxidative stress on DNA, lipids, and proteins in BCC patients was observed in four studies including 10 comparisons. Lipid byproducts in the studies were assessed in terms of TBARS and MDA and included four comparisons. DNA byproducts were expressed in urine 8-oxo-dGuo levels [36] and H₂O₂-induced DNA [58] damage, while protein oxidation was defined by CARBS (protein carbonyls) [5] (Table 3). No significant difference was detected in four out of ten comparisons.

Table 4. Comparisons of enzymatic and non-enzymatic antioxidants as well as oxidative damage products present in SCC patients compared with a study group.

Study	Patients	Tested	Method Used	Redox Biomarker	Result
[5]	SCC vs. AK	Erythrocytes	[35]	GSH (μmol/g Hb)	No significant difference detected
[5]	SCC vs. AK	Erythrocytes	[35]	Catalase activity (U/mg Hb)	Lower in SCC patients than AK patients
[5]	SCC vs. AK	Plasma	[42]	TAC (mmol DPPH/L)	No significant difference detected
[5]	SCC vs. AK	Plasma	[56]	TBARS (μmol/L)	No significant difference detected
[5]	SCC vs. AK	Plasma	[57]	CARBS (nmol/mg protein)	Higher in SCC patients than AK patients
[5]	BCC vs. SCC	Erythrocytes	[35]	GSH (μmol/g Hb)	No significant difference detected
[5]	BCC vs. SCC	Erythrocytes	[35]	Catalase activity (U/mg Hb)	No significant difference detected
[5]	BCC vs. SCC	Plasma	[42]	TAC (mmol DPPH/L)	No significant difference detected
[5]	BCC vs. SCC	Plasma	[56]	TBARS (μmol/L)	No significant difference detected
[5]	BCC vs. SCC	Plasma	[57]	CARBS (nmol/mg protein)	Higher in SCC patients than BCC
[5]	SCC vs. control	Erythrocytes	[35]	GSH (μmol/g Hb)	No significant difference detected
[5]	SCC vs. control	Erythrocytes	[35]	Catalase (U/mg Hb)	Lower in SCC patients than control
[5]	SCC vs. control	Plasma	[42]	TAC (mmol DPPH/L)	Lower in SCC patients than control
[5]	SCC vs. control	Plasma	[56]	TBARS (μmol/L)	No significant difference detected
[5]	SCC vs. control	Plasma	[57]	CARBS (nmol/mg protein)	Higher in SCC patients than control
[58]	NMSC (BCC and SCC) vs. controls	Peripheral blood	[59]	H₂O₂-induced DNA damage (mean tail length after H₂O₂)—(basal mean tail length)	H₂O₂-induced DNA damage was significantly higher in NMSC (BCC and SCC) than in controls
[45]	NMSC (SCC included)	Serum	[46]	Carotenoids (μmol/L)	No significant difference detected
[45]	NMSC (SCC included)	Serum	[47]	Selenium (μmol/L)	Lower in patients with NMSC
[45]	NMSC (SCC included)	Serum	[46]	a-tocopherol (μmol/L)	No significant difference detected
[48]	SCC vs. controls	Serum	[46]	Carotenoids (μmol/L)	No significant difference detected
[48]	SCC vs. controls	Serum	[46]	a-tocopherol (μmol/L)	No significant difference detected
[51]	SCC vs. controls	Serum	[53]	Retinol (μg/dL)	No significant difference detected
[51]	SCC vs. controls	Serum	[53]	b-carotenoid (μg/dL)	No significant difference detected
[51]	SCC vs. controls	Serum	[53]	a-tocopherol (mg/dL)	No significant difference detected
[51]	SCC vs. controls	Serum	[52]	Selenium (μg/dL)	No significant difference detected
[60]	SCC vs. controls	Plasma	[61]	b-carotene (ng/mL)	No significant difference detected
[60]	SCC vs. controls	Plasma	[62]	a-tocopherol (μg/mL)	No significant difference detected
[60]	SCC vs. controls	Plasma	[62]	Retinol (ng/mL)	No significant difference detected
[60]	SCC vs. controls	Plasma	[63]	Selenium (ppm)	No significant difference detected

SCC patients were examined in six studies [5,45,48,51,58,60] totaling 30 comparisons. SCC vs. controls were the most studied groups, featured in 14 comparisons [5]. Other comparisons involved SCC vs. BCC, SCC vs. AK, and SCC vs. medical history of NMSC. Among those comparisons, six reported enzymatic antioxidant mechanisms, seven discussed oxidative damage (oxidized products of lipids, proteins, and DNA), and seventeen evaluated antioxidant micronutrients. The oxidative biomarkers calculated were similar to those reported in BCC patients. Specifically, 20 of them showed no statistically significant differences; of these, most focused on micronutrients (Table 4) [47,49,59].

Table 5. Comparisons of enzymatic and non-enzymatic antioxidants as well as oxidative damage products present in patients with medical history of NMSC.

Study	Patients	Tested	Method Used	Redox Biomarker	Result
[64]	Medical history of NMSC (BCC and SCC) vs. control	Plasma	[65]	TBARS (nmol/L)	No significant difference detected
[64]	Medical history of NMSC (BCC and SCC) vs. control	Plasma	Enzyme-linked immunosorbent assay-(Isoprostane Express EIA Kit; Cayman, USA)	15-F2t-isoprostane levels (pg/mL)	Higher in NMSC-excised patients compared to control
[64]	Medical history of NMSC (BCC and SCC) vs. control	Plasma	[66]	Nitrate (mmol/L × 10⁻¹)	No significant difference detected
[64]	Medical history of NMSC (BCC and SCC) vs. control	Plasma	Antioxidant Assay Kit protocol from Cayman, USA).	TAC (mmol × 10⁻²)	No significant difference detected
[36]	Medical history of NMSC (BCC) vs. control	Urine	Competitive enzyme immunoassay (STA-320, Cell Biolabs, San Diego, CA, USA)	8-oxo-dGuo levels (ng/mg creatinine)	Higher in NMSC-excised patients than control
[36]	BCC vs. medical history of NMSC (BCC)	Urine	Competitive enzyme immunoassay (STA-320, Cell Biolabs, San Diego, CA, USA)	8-oxo-dGuo levels (ng/mg creatinine)	No significant difference detected
[36]	Medical history of NMSC (BCC) vs. control	Plasma	Kit protocol from Cayman Chemical (Ann Arbor, MI, USA)	Catalase Activity (unit/mg protein)	No significant difference detected
[36]	BCC vs. medical history of NMSC (BCC)	Plasma	Kit protocol from Cayman Chemical (Ann Arbor, MI, USA)	Catalase Activity (unit/mg protein)	Lower in BCC patients than NMSC-excised patients
[36]	Medical history of NMSC (BCC) vs. control	Plasma	[37]	GPx (unit/mg protein)	No significant difference detected
[36]	BCC vs. medical history of NMSC (BCC)	Plasma	[37]	GPx (unit/mg protein)	Lower in BCC patients than NMSC-excised patients
[36]	Medical history of NMSC (BCC) vs. control	Plasma	[39]	NQO1 (µmol 2,6-dichloroindophenol reduced/min/mg protein)	No significant difference detected
[36]	BCC vs. medical history of NMSC (BCC)	Plasma	[39]	NQO1 (µmol 2,6-dichloroindophenol reduced/min/mg protein)	Lower in BCC patients than NMSC-excised patients
[36]	Medical history of NMSC (BCC) vs. control	Plasma	DTNB enzymatic recycling method following kit protocol from Sigma-Aldrich (St louis, MO, USA)	GSH (µmol/mg protein)	Higher in NMSC-excised than control
[36]	BCC vs. medical history of NMSC (BCC)	Plasma	DTNB enzymatic recycling method following kit protocol from Sigma-Aldrich (St louis, MO, USA)	GSH (µmol/mg protein)	No significant difference detected
[36]	Medical history of NMSC (BCC) vs. control	Plasma	[38] and kit protocol from Cayman Chemical (Ann Arbor, MI, USA)	SOD (unit/mg protein)	Higher in NMSC-excised than control
[36]	BCC vs. medical history of NMSC (BCC)	Plasma	[38] and kit protocol from Cayman Chemical (Ann Arbor, MI, USA)	SOD (unit/mg protein)	No significant difference detected
[67]	Medical history of NMSC (BCC and SCC) vs. control	Plasma	Protocol by Antioxidant Assay Kit (Cayman, USA).	TAC (nmol/L)	No significant difference detected
[68]	Medical history of NMSC (BCC) vs. control	Serum	[53]	Carotenoids	No significant difference detected
[68]	Medical history of NMSC (BCC) vs. control	Serum	[53]	a-tocopherol	No significant difference detected
[68]	Medical history of NMSC (BCC) vs. control	Serum	[52]	Selenium	No significant difference detected

Patients with medical history of NMSC were also included in our review, as their exposure to extensive sunlight can lead to skin cancer development. However, they do not present with oxidative stress produced by cancer cells, since in these patients, the tumors are excised or treated with destructive methods. Regarding the outcomes, twenty-one comparisons were detected, of which nine focused on antioxidant enzymes, five on oxidized byproducts, and seven on antioxidant molecules (GSH and micronutrients) (Table 5). Interestingly, 13 of the 21 showed no differences, including 10 NMSC history–control comparisons, revealing that systemic oxidative stress parameters tend to resemble those of controls after skin cancer removal.

Concerning NMSC (BCC and SCC patients), most studies relied on their comparison with healthy controls, while only two of the studies compared NMSC with actinic keratosis patients [5,40]. Considering that those two groups have received the same external stressor, UV, the comparison of oxidative stress in these patients can be regarded as more trustworthy if the impact of oxidative stress on skin carcinogenesis is in question (see Table 1, Table 2 and Table 9). In view of the comparison of BCC vs. AK [5,40], one study indicated lower erythrocyte GSH levels in BCC patients, while another did not detect any differences regarding this biomarker. However, no changes were observed in any of the other examined parameters related to enzymatic mechanisms (catalase activity, etc.) or micronutrients (ascorbic acid, etc.). In the case of comparisons of BCC and controls, previous studies have examined eleven oxidative stress parameters in plasma, ten parameters in serum, and three in RBCs, compared to controls. Worth mentioning is that BCC patients presented significant alterations in redox biomarkers in plasma (10/11, 90.9%), whereas there were few differences in serum (4/10, 40%) and RBCs (2/3, 66%). This difference may be attributed to the fact that most studies on the serum of BCC patients were focused on micronutrients.

Regarding antioxidant enzyme activities in NMSC patients, the results seem scattered. Also, studies assessing postoperative oxidative stress modifications reveal a stress reduction that depends on the time of assessment as well as the therapeutic procedure, as chemotherapy is connected with a period of oxidative stress. Moreover, when assessing the differences between patients with BCC and patients with medical history of NMSC, the former displayed lower antioxidant enzyme activity regarding catalase, GP_X, and NQO1, and no difference in SOD activity [Table 5].

In the case of comparisons between SCC patients and controls, seven oxidative stress markers were evaluated in plasma, six in serum, and two in RBCs. Interestingly, no serum antioxidant marker indicated any significant differences when compared to healthy individuals (Table 4).

Table 6. Comparisons of enzymatic antioxidants retrieved from melanoma patients compared with a study group.

Study	Patients	Tested	Method Used	Redox Biomarker	Result
[69]	Melanoma patients vs. control	Serum	[70]	SOD (total superoxide dismutase activity) (U/mL)	Higher in melanoma (especially stage III) patients compared to control
[69]	Melanoma patients vs. control	Serum	[70]	Mn-SOD (U/mL)	Higher in melanoma (especially stage IV) patients compared to control
[69]	Melanoma patients vs. control	Serum	[71]	CAT (kU/L)	Higher in melanoma (especially stages I, II, and III) patients compared to control
[72]	Melanoma patients vs. control	Serum	[73]	Mn-SOD (ng/mL)	Higher in melanoma (all stages) patients compared to control
[74]	Melanoma patients vs. control	Erythrocytes	[75]	SOD (U/g Hb)	No significant difference detected
[74]	Melanoma patients vs. control	Erythrocytes	[71]	CAT (absorption/min/g Hb × 10³)	No significant difference detected
[76]	Melanoma patients vs. control	Erythrocytes	[70]	SOD (U/g Hb)	Lower in melanoma patients compared to control
[76]	Melanoma patients vs. patients with excised melanoma	Erythrocytes	[70]	SOD (U/g Hb)	No significant difference detected
[76]	Melanoma patients vs. control	Erythrocytes	[77]	CAT (U/g Hb)	Higher in melanoma patients compared to control
[76]	Melanoma patients vs. patients with excised melanoma	Erythrocytes	[77]	CAT (U/g Hb)	No significant difference detected
[78]	Melanoma patients vs. control	Erythrocytes	[75]	CAT ((V abs/min) Hb⁻¹)	Lower in melanoma patients compared to control
[78]	Melanoma patients vs. melanoma patients with metastasis	Erythrocytes	[75]	CAT ((V abs/min) Hb⁻¹)	No significant difference detected
[78]	Melanoma patients with metastasis vs. controls	Erythrocytes	[75]	CAT ((V abs/min) Hb⁻¹)	No significant difference detected
[78]	Melanoma patients vs. control	Erythrocytes	[75]	SOD (U/g Hb)	No significant difference detected
[78]	Melanoma patients vs. melanoma patients with metastasis	Erythrocytes	[75]	SOD (U/g Hb)	No significant difference detected
[78]	Melanoma patients with metastasis vs. control	Erythrocytes	[75]	SOD (U/g Hb)	No significant difference detected

Melanoma patients were the subjects of sixteen comparisons, including with healthy individuals, between patients at different stages of the disease, and with patients with metastasis. Notably, oxidative stress parameters were influenced by the different stages of the disease. For example, serum total superoxide dismutase activity was higher in melanoma stage III patients compared to controls [69]. However, nine of those comparisons revealed no differences (Table 6).

Table 7. Comparisons of non-enzymatic antioxidants, including metabolic antioxidants and dietary micronutrients, detected in melanoma patients.

Study	Patients	Tested	Method Used	Redox Biomarker	Result
[74]	Melanoma patients vs. control	Erythrocytes	[79]	GSH (μM/g Hb⁻¹)	Lower in melanoma patients compared to control
[72]	Melanoma patients vs. control	Erythrocytes	[79]	GSH (μΜ/g Hb)	Lower in melanoma patients compared to control
[72]	Melanoma patients vs. melanoma patients with metastasis	Erythrocytes	[79]	GSH (μΜ/g Hb)	No significant difference detected
[72]	Melanoma patients with metastasis vs. control	Erythrocytes	[79]	GSH (μΜ/g Hb)	No significant difference detected
[69]	Melanoma patients vs. control	Serum	[80]	Superoxide anion radical (mmol red nitroblue-tetrazolium/min/L)	Higher in all clinical stage melanoma patients compared to control
[81]	Melanoma patients vs. patients with excised melanoma	Serum	[82]	Albumin thiols (μmol/100 mL)	No significant difference detected
[74]	Melanoma patients vs. control	Plasma	[83]	Total thiols (μΜ)	Higher total thiols in melanoma patients compared to control
[79]	Melanoma patients vs. control	Plasma	[83]	Total thiols (μΜ)	No significant difference detected
[78]	Melanoma patients vs. melanoma patients with metastasis	Plasma	[83]	Total thiols (μΜ)	No significant difference detected
[78]	Melanoma patients with metastasis vs. control	Plasma	[83]	Total thiols (μΜ)	Higher in patients with melanoma metastasis compared to control
[78]	Melanoma patients vs. control	Plasma	[84]	TRAP (total radical-trapping antioxidant parameter) (μΜ Trolox)	No significant difference detected
[78]	Melanoma patients vs. melanoma patients with metastasis	Plasma	[84]	TRAP (total radical-trapping antioxidant parameter) (μΜ Trolox)	No significant difference detected
[78]	Melanoma patients with metastasis vs. control	Plasma	[84]	TRAP (total radical-trapping antioxidant parameter) (μΜ Trolox)	Higher in patients with melanoma metastasis compared to control
[81]	Melanoma patients vs. patients with excised melanoma	Serum	[85,86]	Serum antioxidants (μg/L)	No significant difference detected
[74]	Melanoma patients vs. control	Plasma	[87]	TRAP (total radical-trapping antioxidant parameter) (μΜ Trolox)	No significant difference detected
[88]	Melanoma patients	Serum	Mass spectrometry (ICP-MS NexION 350D, Perkin Elmer)	Selenium (µg/L)	A low selenium level might contribute to worse survival for patients with melanoma
[89]	Melanoma patients vs. control	Serum	Spectrometry	Selenium (μg/L)	All clinical melanoma stages (especially stage III) had lower selenium levels than the controls
[90]	Melanoma patients	Serum	Spectrometry	Selenium (μg/L)	Lower selenium correlates with worse disease severity
[90]	Melanoma patients	Serum	Spectrometry	Selenium (μg/L)	Selenium concentration was significantly lower for stage I and II melanomas with recurrence compared to those without recurrence
[51]	Melanoma patients vs. control	Serum	[53]	Retinol (μg/dL)	No significant difference detected
[51]	Melanoma patients vs. control	Serum	[53]	b-carotenoid (μg/dL)	No significant difference detected
[51]	Melanoma patients vs. control	Serum	[53]	a-tocopherol (mg/dl)	No significant difference detected
[51]	Melanoma patients vs. controls	Serum	[52]	Selenium (μg/dL)	No significant difference detected
[91]	Melanoma patients vs. control	Serum	Atomic absorption spectroscopy	Zinc (μg/100 mL)	No significant difference detected
[91]	Melanoma patients with metastasis vs. patients	Serum	Atomic absorption spectroscopy	Zinc (μg/100 mL)	No significant difference detected
[92]	Melanoma patients vs. control	Serum	[93]	Zinc (μg/100 mL)	Lower in melanoma patients compared to control
[94]	Melanoma patients vs. control	Serum	Atomic absorption spectroscopy	Zinc (μg/dL)	Higher in melanoma patients compared to control

Table 8. Comparisons of oxidative damage products present in melanoma patients compared to a study group.

Study	Patients	Tested	Method Used	Redox Biomarker	Result
[69]	Melanoma patients vs. control	Serum	[95]	mmol MDA/L	Higher in melanoma (especially stage IV) patients compared to control
[81]	Melanoma patients vs. patients with excised melanoma	Serum	[96]	Serum lipid peroxides (μmol/100 mL)	No significant difference detected
[74]	Melanoma patients vs. control	Plasma	[87]	MDA (nM)	Higher in melanoma patients compared to control
[76]	Melanoma patients vs. control	Plasma	[97]	MDA (μΜ)	Higher in melanoma patients compared to control
[76]	Melanoma patients vs. patients with excised melanoma	Plasma	[97]	MDA (μΜ)	Higher in melanoma patients compared to patients with melanoma history
[76]	Patients with excised melanoma vs. control	Plasma	[97]	MDA (μΜ)	No significant difference detected
[78]	Melanoma patients vs. control	Plasma	[98]	MDA (nM)	Higher in melanoma patients compared to control
[78]	Melanoma patients vs. melanoma patients with metastasis	Plasma	[98]	MDA (nM)	No significant difference detected
[78]	Melanoma patients with metastasis vs. control	Plasma	[98]	MDA (nM)	Higher in patients with melanoma history compared to control
[78]	Melanoma patients vs. control	Plasma	[99]	AOPPs (advanced oxidation protein products) (μΜ × mg protein)	No significant difference detected
[78]	Melanoma patients vs. melanoma patients with metastasis	Plasma	[99]	AOPPs (advanced oxidation protein products) (μΜ × mg protein)	No significant difference detected
[78]	Melanoma patients with metastasis vs. control	Plasma	[99]	AOPPs (advanced oxidation protein products) (μΜ × mg protein)	Higher in patients with melanoma metastasis compared to control

The previous tables present comparisons of oxidative stress markers (oxidized protein and lipid products and vitamins). Superoxide anion radicals were considered an index of antioxidant defense, since their evaluation is based on a nitroblue–tetrazolium reduction [69]. Another significant antioxidant marker was the total radical-trapping antioxidant parameter (TRAP), based on the cumulative action of individual serum antioxidants such as uric acid, protein thiols, ascorbate, α-tocopherol, and bilirubin [78]. Interestingly, cancer stage and history of previous melanoma played a crucial role in the outcome of oxidative stress comparisons. No association was found in five of the twelve comparisons of oxidative damage markers, in ten of the seventeen comparisons of micronutrients, and in fifteen out of the twenty-eight comparisons of antioxidant molecules examined (Table 7 and Table 8).

Considering benign lesions, in our review, we included patients with AK and SK lesions. We found 25 comparisons of AK patients. By extending our research to SK, we also found two comparisons that reported no significant differences.

Table 9. Comparisons of oxidative stress parameters present in patients with benign lesions (AK and SK).

Study	Patients	Tested	Method	Redox Biomarker	Result
[5]	AK vs. control	Erythrocytes	[35]	GSH (μmol/g Hb)	Lower in AK patients than control
[5]	AK vs. control	Erythrocytes	[35]	Catalase (U/mg Hb)	No significant difference detected
[5]	AK vs. control	Plasma	[42]	TAC (mmol DPPH/L)	No significant difference detected
[5]	AK vs. control	Plasma	[56]	TBARS (μmol/L)	Higher in AK patients than control
[5]	AK vs. control	Plasma	[57]	CARBS (nmol/mg protein)	No significant difference detected
[5]	SCC vs. AK	Erythrocytes	[35]	GSH (μmol/g Hb)	No significant difference detected
[5]	SCC vs. AK	Erythrocytes	[35]	Catalase activity (U/mg Hb)	Lower in SCC patients than AK patients
[5]	SCC vs. AK	Plasma	[42]	TAC (mmol DPPH/L)	No significant difference detected
[5]	SCC vs. AK	Plasma	[56]	TBARS (μmol/L)	No significant difference detected
[5]	SCC vs. AK	Plasma	[57]	CARBS (nmol/mg protein)	Higher in SCC patients than AK patients
[5]	BCC vs. AK	Erythrocytes	[35]	GSH (μmol/g Hb)	No significant difference detected
[5]	BCC vs. AK	Erythrocytes	[35]	Catalase (U/mg Hb)	No significant difference detected
[5]	BCC vs. AK	Plasma	[42]	TAC (mmol DPPH/L)	No significant difference detected
[5]	BCC vs. AK	Plasma	[56]	TBARS (μmol/L)	No significant difference detected
[5]	BCC vs. AK	Plasma	[57]	CARBS (nmol/mg protein)	No significant difference detected
[40]	BCC vs. AK	Plasma	[43]	Ascorbic acid (mg/dL)	No significant difference detected
[40]	BCC vs. AK	Plasma	[43]	a-tocopherol (mg/L)	Lower in BCC patients compared to AK
[40]	BCC vs. AK	Plasma	[57]	Total thiol groups (mmol/L)	No significant difference detected
[40]	BCC vs. AK	Erythrocytes	[41]	GSH (mg/dl)	Lower in BCC patients compared to AK
[40]	AK vs. control	Plasma	[49]	a-tocopherol (mg/L)	Lower in AK patients compared to control
[40]	AK vs. control	Plasma	[57]	Total thiol groups (mmol/L)	Lower in AK patients compared to control
[40]	AK vs. control	Plasma	[43]	Ascorbic acid (mg/dL)	Lower in AK patients compared to control
[40]	AK vs. control	Erythrocytes	[41]	GSH (mg/dL)	Lower in AK patients compared to control
[99]	SK vs. control	Plasma	TBARS, method not explained	MDA (mmol/L)	No significant difference detected
[99]	SK vs. control	Plasma	ELISA[100]	SOD (U/L)	No significant difference detected

The following tables refer to the redox status of patients with common and recalcitrant warts (Table 10 and Table 11).

Table 10. Comparisons of enzymatic and non-enzymatic antioxidants, as well as oxidative damage products, detected in patients with warts, including the type of wart (genital, etc.) and the number of lesions. The above-mentioned wart types are not recalcitrant (>36 months).

Study	Patients	Tested	Number/Chronicity of the Lesions	Method Used	Redox Biomarker	Result
[101]	Patients with non-genital warts vs. control	Serum	NM/Most of the lesions occurred over 1 year (19.6 ± 3.8 months)	[102]	Disulfide (μm/L)	Higher in wart patients compared to control
[101]	Patients with non-genital warts vs. control	Serum	NM/Most of the lesions occurred over 1 year (19.6 ± 3.8 months)	[102]	Total serum thiol (μm/L)	Higher in wart patients compared to control
[101]	Patients with non-genital warts vs. control	Serum	NM/Most of the lesions occurred over 1 year (19.6 ± 3.8 months)	[102]	Disulfide/native thiol ratio	Higher in wart patients compared to control
[101]	Patients with non-genital warts vs. control	Serum	NM/Most of the lesions occurred over 1 year (19.6 ± 3.8 months)	[102]	Native thiol (µm/L)	No significant difference detected
[101]	Patients with non-genital warts vs. control	Serum	Genital (10 lesions) Non-genital (4 lesions)/Most of the lesions occurred over 1 year (19.35 ± 28.82 months)	[102]	Disulfide/total thiol	No significant difference detected
[101]	Patients with non-genital warts vs. control	Serum	Genital (10 lesions) Non-genital (4 lesions)/Most of the lesions occurred over 1 year (19.35 ± 28.82 months)	[102]	Native thiol/total thiol	No significant difference detected
[103]	Patients with genital and non-genital warts vs. controls	Serum	Genital (10 lesions) Non-genital (4 lesions)/Most of the lesions occurred over 1 year (19.35 ± 28.82 months)	Enzyme-linked immunosorbent assay kit (Human CoQ10-ELISA kit/Shanghai Sunred Biological Technology Co, Ltd., Shanghai, China)	Coenzyme Q10 levels (ng/mL)	No significant difference detected
[103]	Patients with genital and non-genital warts vs. controls	Serum	Genital (10 lesions) Non-genital (4 lesions)/Most of the lesions occurred over 1 year (19.35 ± 28.82 months)	Double heating method of Draper and Hadley [103]	MDA (µmol/L)	Higher in wart patients compared to control
[103]	Patients with genital and non-genital warts vs. controls	Serum	Genital (10 lesions) Non-genital (4 lesions)/Most of the lesions occurred over 1 year (19.35 ± 28.82 months)	Perkin Elmer AAnalyst 800 atomic absorption spectrometer (USA) with a deuterium background correction [104]	Zinc (µg/dL)	Lower in wart patients compared to control
[103]	Patients with genital vs. patients with non-genital warts	Serum	Genital (10 lesions) Non-genital (4 lesions)/Most of the lesions occurred over 1 year (19.35 ± 28.82 months)	Enzyme-linked immunosorbent assay kit (Human CoQ10-ELISA kit/Shanghai Sunred Biological Technology Co, Ltd., Shanghai, China)	Coenzyme Q10 levels (ng/mL)	No significant difference detected
[103]	Patients with genital vs. patients with non-genital warts	Serum	Genital (10 lesions) Non-genital (4 lesions)/Most of the lesions occurred over 1 year (19.35 ± 28.82 months)	Double heating method of Draper and Hadley [103]	MDA (µmol/L)	No significant difference detected
[103]	Patients with genital vs. patients with non-genital warts	Serum	Genital (10 lesions) Non-genital (4 lesions)/Most of the lesions occurred over 1 year (19.35 ± 28.82 months)	Perkin Elmer AAnalyst 800 atomic absorption spectrometer (USA) with a deuterium background correction [105]	Zinc (µg/dL)	No significant difference detected
[106]	Patients with non-genital warts vs. controls	Serum	From <5 to >10 lesions/Lesions occurred from <1 to >6 months	Spectrophotometric method (Randox reagents, HumaStar 300 analyzer)	Total oxidant status (µmol Trolox Eq/L)	Higher in wart patients compared to control
[106]	Patients with non-genital warts vs. controls	Serum	From <5 to >10 lesions/Lesions occurred from <1 to >6 months	Spectrophotometric method (Randox reagents, HumaStar 300 analyzer)	Total antioxidant status (µmol H₂O₂ Eq/L)	Lower in wart patients compared to control
[106]	Patients with non-genital warts vs. controls	Serum	From <5 to >10 lesions/Lesions occurred from <1 to >6 months	Spectrophotometric method (Randox reagents, HumaStar 300 analyzer)	Oxidative stress index (arbitrary units)	Higher in wart patients compared to control
[107]	Patients with genital or non-genital warts vs. controls	Serum	Non- recalcitrant warts (mean number of 5.5 lesions)/(Mean duration of 4.5 months)	Enzyme-linked immunosorbent assay (ELISA) kit (Cayman, Canada, USA).	8-hydroxy-2-deoxyguanosine (ng/mL)	No significant difference detected
[107]	Patients with genital or non-genital warts vs. controls	Serum	Non-recalcitrant warts (mean number of 5.5 lesions)/(Mean duration of 4.5 months)	[107]	Total oxidant status (µmol Trolox Eq/L)	No significant difference detected
[107]	Patients with genital or non-genital warts vs. controls	Serum	Non-recalcitrant warts (mean number of 5.5 lesions)/(Mean duration of 4.5 months)	[108]	Total antioxidant status (µmol H₂O₂ Eq/L)	No significant difference detected
[107]	Patients with genital or non-genital warts vs. controls	Serum	Non-recalcitrant warts (mean number of 5.5 lesions)/(Mean duration of 4.5 months)	[109]	Oxidative stress index (arbitrary units)	No significant difference detected
[107]	Patients with genital or non-genital warts vs. controls	Serum	Non-recalcitrant warts (mean number of 5.5 lesions)/(Mean duration of 4.5 months)	[102]	Total thiol (μmol/L)	Higher in wart patients compared to controls
[107]	Patients with genital or non-genital warts vs. controls	Serum	Non-recalcitrant warts (mean number of 5.5 lesions)/(Mean duration of 4.5 months)	[102]	Native thiol (μmol/L)	Higher in wart patients compared to controls
[107]	Patients with genital or non-genital warts vs. controls	Serum	Non-recalcitrant warts (mean number of 5.5 lesions)/(Mean duration of 4.5 months)	[102]	Disulphide (μmol/L)	Higher in wart patients compared to control
[107]	Patients with genital or non-genital warts vs. controls	Serum	Non-recalcitrant warts (mean number of 5.5 lesions)/(Mean duration of 4.5 months)	[102]	Native thiol/total thiol	Higher in wart patients compared to control
[107]	Patients with genital or non-genital warts vs. controls	Serum	Non-recalcitrant warts (mean number of 5.5 lesions)/(Mean duration of 4.5 months)	[102]	Disulphide/total thiol	Lower in wart patients compared to control
[107]	Patients with genital or non-genital warts vs. controls	Serum	NM/Most of the warts lasted less than 1 year	[102]	Disulphide/native thiol	Lower in wart patients compared to control
[110]	Patients with genital warts vs. controls	Serum	NM/Most of the warts lasted less than 1 year	[111]	Paraoxonase (ng/mL)	No significant difference detected
[110]	Patients with genital warts vs. controls	Erythrocytes	NM/Most of the warts lasted less than 1 year	[111]	GPx (IU/gHb)	Higher in wart patients compared to control
[110]	Patients with genital warts vs. controls	Serum	NM/Most of the warts lasted less than 1 year	High-pressure liquid chromatography via Chromsystems (Chromsystems^®, Mannheim, Germany) kits and an Agilent 1200 series autoanalyzer (Agilent Technologies^®, CA, USA).	MDA (mmol/L)	Higher in wart patients compared to control
[110]	Patients with genital warts vs. controls	Serum	NM/Most of the warts lasted less than 1 year	[111]	CAT (kU/L)	Higher in wart patients compared to control
[112]	Patients with non-genital warts vs. controls	Erythrocytes	19 patients with less than 10 lesions and 12 patients with more than 10 lesions/Most of the warts lasted less than 1 year	[40]	CAT (U/g Hb)	Higher in wart patients compared to control
[112]	Patients with non-genital warts vs. controls	Erythrocytes	19 patients with less than 10 lesions and 12 patients with more than 10 lesions/Most of the warts lasted less than 1 year	[40]	G6PD (U/g Hb)	Higher in wart patients compared to control
[112]	Patients with non-genital warts vs. controls	Erythrocytes	19 patients with less than 10 lesions and 12 patients with more than 10 lesions/Most of the warts lasted less than 1 year	[113]	SOD (U/g Hb)	Higher in wart patients compared to control
[112]	Patients with non-genital warts vs. controls	Plasma	19 patients with less than 10 lesions and 12 patients with more than 10 lesions/Most of the warts lasted less than 1 year	[114]	MDA (nmol/mL)	Higher in wart patients compared to control

NM: not mentioned.

Table 11. Comparisons of oxidative stress parameters in recalcitrant (>36 months) wart patients.

Study	Patients	Tested	Method Used	Redox Biomarker	Result
[107]	Recalcitrant wart patients vs. control	Serum	Enzyme-linked immunosorbent assay (ELISA) kit (Cayman, Canada, USA).	8-hydroxy-2-deoxyguanosine (ng/mL)	Higher in recalcitrant patients compared to control
[107]	Recalcitrant wart patients vs. control	Serum	[107]	Total oxidant status (µmol Trolox Eq/L)	No significant difference detected
[107]	Recalcitrant wart patients vs. control	Serum	[108]	Total antioxidant status (µmol H₂O₂ Eq/L)	Higher in recalcitrant patients compared to control
[107]	Recalcitrant wart patients vs. control	Serum	[109]	Oxidative stress index (arbitrary units)	Higher in recalcitrant patients compared to control
[107]	Recalcitrant wart patients vs. control	Serum	[102]	Total thiol (μmol/L)	Higher in recalcitrant patients compared to control
[107]	Recalcitrant wart patients vs. control	Serum	[102]	Native thiol (μmol/L)	Higher in recalcitrant patients compared to control
[107]	Recalcitrant wart patients vs. control	Serum	[102]	Disulphide (μmol/L)	No significant difference detected
[107]	Recalcitrant wart patients vs. control	Serum	[102]	Native thiol/total thiol	Higher in recalcitrant patients compared to control
[107]	Recalcitrant wart patients vs. control	Serum	[102]	Disulphide/total thiol	Lower in recalcitrant patients compared to control
[107]	Recalcitrant wart patients vs. control	Serum	[102]	Disulphide/native thiol	Lower in recalcitrant patients compared to control
[107]	Recalcitrant wart patients vs. wart patients	Serum	Enzyme-linked immunosorbent assay (ELISA) kit (Cayman, Canada, USA).	8-hydroxy-2-deoxyguanosine (ng/mL)	No significant difference detected
[107]	Recalcitrant wart patients vs. wart patients	Serum	[107]	Total oxidant status (µmol Trolox Eq/L)	No significant difference detected
[107]	Recalcitrant wart patients vs. wart patients	Serum	[108]	Total antioxidant status (µmol H₂O₂ Eq/L)	No significant difference detected
[107]	Recalcitrant wart patients vs. wart patients	Serum	[109]	Oxidative stress index (arbitrary units)	No significant difference detected
[107]	Recalcitrant wart patients vs. wart patients	Serum	[102]	Total thiol (μmol/L)	Lower in recalcitrant wart patients compared with wart patients
[107]	Recalcitrant wart patients vs. wart patients	Serum	[102]	Native thiol (μmol/L)	Lower in recalcitrant wart patients compared with wart patients
[107]	Recalcitrant wart patients vs. wart patients	Serum	[102]	Disulphide (μmol/L)	Lower in recalcitrant wart patients compared with wart patients
[107]	Recalcitrant wart patients vs. wart patients	Serum	[102]	Native thiol/total thiol	No significant difference detected
[107]	Recalcitrant wart patients vs. wart patients	Serum	[102]	Disulphide/total thiol	No significant difference detected
[107]	Recalcitrant wart patients vs. wart patients	Serum	[102]	Disulphide/native thiol	No significant difference detected

The measurement of dynamic thiol/disulfide (T/DS) homeostasis was used as a redox status biomarker. Thiols are proteins with organic sulfur compounds possessing antioxidant properties that operate through various mechanisms and fluctuations in dynamic disulfide bonds and are likely to be associated with oxidative stress levels [107]. Moreover, the oxidative stress index was estimated from the ratio of total antioxidant status to total oxidant status [107].

Differences between wart patients were observed to mainly depend on wart location (genital and non-genital) and their recalcitrant and non-recalcitrant state. Systemic oxidative stress parameters of recalcitrant wart patients were mainly evaluated in [107] (Table 11). Regarding the association of the number of warts with oxidative stress markers, the results are confusing, since some studies reported no association [110], while others displayed the opposite [103,107]. Regarding the comparisons of redox biomarkers, 19 differences were found, influenced mainly by the chronic nature of the disease and its recalcitrant nature. As for the comparison between recalcitrant and non-recalcitrant warts, no association was found in seven out of ten studies.

Given that, in general, the main interests of researchers lie in the comparison between control groups and skin diseases, we found 26 comparisons with BCC, 16 with SCC, 9 with AK, 30 with melanoma, 31 with warts, and 10 for recalcitrant warts, respectively. Among these comparisons, we excluded total oxidant and antioxidant status as well as the oxidation stress index as those markers belong to a specific redox biomarker category. The percentages of statistically significant and non-significant comparisons between patients and controls are indicated in Figure 1, with significant results proving that there is a difference in systemic oxidative stress parameters. Firstly, concerning antioxidant enzyme level comparisons, significant differences were found in 80% of BCC patients, 100% of SCC patients, 0% of AK patients, 70% of melanoma patients, 83.3% of non-recalcitrant wart patients, and 0% in recalcitrant wart patients when compared to controls. Secondly, when comparing non-enzymatic antioxidants between skin disease patients and controls, notable differences were observed in 62.5% of cases of BCC, 8.3% of SCC, 83.3% of AK, 46.7% of melanoma, 66.7% of non-recalcitrant warts, and 83.3% of recalcitrant warts. Finally, the respective percentages regarding differences in oxidative damage molecules are 80% for BCC, 66.7% for SCC, 50% for AK, 80% for melanoma, 50% for non-recalcitrant warts, and 100% for recalcitrant warts. Table 12 also summarizes statistically significant differences between controls and patients with malignant or benign lesions.

Figure 1. Bar graphs illustrating % of statistically significant comparisons between disease and control groups in terms of antioxidant enzyme levels, non-enzymatic antioxidants, and oxidative damage molecules.

Table 12. Summary of the results of statistically significant comparisons between controls and cases of malignant or benign lesions.

Malignant				Benign
BCC	Redox Biomarker Reported	Reference	Results	AK	Redox Biomarker Report	Reference	Results
Antioxidant enzyme levels	CAT	[36]	Lower	Non-enzymatic antioxidants	GSH	[5]	Lower
	GPx	[36]	Lower		a-tocopherol	[40]	Lower
	SOD	[36]	Higher		Total thiol groups	[40]	Lower
	NQO1	[36]	Lower		Ascorbic acid	[40]	Lower
Non-enzymatic antioxidants	GSH	[5]	Lower		GSH	[40]	Lower
	GSH	[36]	Higher	Oxidative damage molecules	TBARS	[5]	Higher
	GSH	[40]	Lower	Warts (non-recalcitrant)
	TAC	[5]	Lower	Antioxidant enzyme levels	GPx	[110]	Higher
	Ascorbic acid	[40]	Lower		CAT	[109]	Higher
	a-tocopherol	[40]	Lower		CAT	[112]	Higher
	Retinol	[48]	Lower		G6PD	[112]	Higher
	Retinol	[50]	Higher		SOD	[112]	Higher
	Total thiol groups	[40]	Lower	Non-enzymatic antioxidants	Disulfide	[101]	Higher
Oxidative damage molecules	TBARS	[5]	Higher		Total serum thiol	[101]	Higher
	8-oxo-dGuo levels	[36]	Higher		Disulfide/native thiol ratio	[101]	Higher
	MDA	[53]	Higher		Zinc	[103]	Lower
SCC					Total thiol	[107]	Higher
Antioxidant enzyme levels	CAT	[5]	Lower		Native thiol	[107]	Higher
Non-enzymatic antioxidants	TAC	[5]	Lower		Disulphide	[107]	Higher
Oxidative damage molecules	CARBS	[5]	Higher		Disulphide/total thiol	[107]	Higher
	H₂O₂-induced DNA damage	[58]	Higher		Disulphide/native thiol	[107]	Lower
Melanoma				Oxidative damage molecules	MDA	[103]	Higher
Antioxidant enzyme levels	SOD	[69]	Higher		MDA	[110]	Higher
	Mn-SOD	[69]	Higher		MDA	[72]	Higher
	CAT	[69]	Higher	Recalcitrant warts
	Mn-SOD	[70]	Higher	Non-enzymatic antioxidants	Total thiol	[107]	Higher
	SOD	[77]	Lower		Native thiol	[107]	Higher
	CAT	[77]	Higher		Native thiol/total thiol	[107]	Higher
	CAT	[72]	Lower		Disulphide/total thiol	[107]	Higher
Non-enzymatic antioxidants	GSH	[74]	Lower		Disulphide/native thiol	[107]	Lower
	GSH	[72]	Lower	Oxidative damage molecules	8-hydroxy-2-deoxyguanosine	[107]	Higher
	Total thiols	[74]	Higher
	Selenium	[89]	Lower
	Zinc	[92]	Lower
	Zinc	[94]	Higher
Oxidative damage molecules	MDA	[69]	Higher
	MDA	[74]	Higher
	MDA	[75]	Higher
	MDA	[72]	Higher

3. Discussion

In our review, we highlighted elevated levels of oxidative stress markers in patients with skin diseases, particularly NMSC, melanoma, and wart patients as well as patients with pre-malignant lesions such as AK, compared to healthy individuals. In the case of UV-related lesions, UV radiation, particularly UVA, can penetrate deep into the dermis and has the capacity to directly influence blood and lymph vessels [5,27]. Conversely, UVB radiation induces numerous direct photochemical alterations that lead skin cells to release cytokines and other signaling molecules. However, both UVA and UVB radiation induce an excess production of ROS within skin cells, inducing oxidative stress and its impact on DNA, proteins, and lipids.

The disruption of cellular metabolism within the skin, particularly through extracellular signaling, extend its effects to other tissues. Therefore, UVR plays a major role in systemic oxidative stress [27]. As a result, individuals with diseases related to UVR exposure such as skin cancer present altered systemic oxidative stress markers compared to controls [5]. The differences in redox status between BCC and SCC patients might be attributed to different exposure types. SCC is mostly associated with cumulative lifetime sun exposure, while intermittent and intense sun exposure is more related to the risk of BCC; in terms of oxidative stress, intense sun exposure can boost oxidative stress more than frequent stimuli [115]. Also, biomarkers of systemic oxidative stress correlate with human skin lightness levels, further complicating the correlation between UVR exposure and systemic oxidative stress [116]. The incidence of skin cancer in darker skin is greater, while systemic oxidative stress, even in individuals with skin of color, can contribute to the development of skin cancer when combined with other risk factors [20,117]. On the contrary, in pre-existing oxidative stress, a deficiency of antioxidant micronutrients is associated with compromised antioxidant capacity, enhancing to the vulnerability of the skin to oxidative stimuli like UV and subsequently to skin damage [118].

Systemic oxidative stress is a complex phenomenon, mediated by endogenous and/or exogenous triggers. Examined individuals vary in their susceptibility to oxidative damage due to genetic factors or lifestyle choices. For example, in [5], patients with vitamin D deficiency and NMSC revealed higher systemic oxidative stress parameters than controls, indicating the influence of environmental factor such as UV. Moreover, the involvement of oxidative stress in several pathological processes and diseases other than UVR-related disorders complicates the evaluation of systemic oxidative stress and its association with skin cancer even more. Therefore, increased redox biomarkers might reflect the outcome of co-morbidities. Indeed, high lipid peroxidation and ROS levels were detected in diabetic nephropathy patients. Increased levels of lipid oxidation have also been observed in obese patients with obstructive sleep apnea [119,120].

The complexity of oxidative stress can be further increased by the evaluation of redox biomarkers in various biological specimens like plasma and serum, which may affect the tested activity. Generally, plasma is considered to provide a more comprehensive view of the body’s antioxidant status compared to serum, as it reflects the antioxidant levels of all blood components. Nevertheless, the differences in antioxidant properties between plasma and serum are still ambiguous. Of note, a recent study revealed that plasma samples demonstrated greater resistance to oxidative stress, while serum exhibited a stronger ABTS cation radical-scavenging effect, probably attributed to serum proteins, including albumin. However, a previous investigation showed that TBARS levels in camels could be evaluated either in plasma or in serum, with no significant difference. The visible variations may result from methodological differences in the approaches used or the different organisms’ responses [121,122].

Concerning the comparisons demonstrated in this review, BCC and SCC patients presented increased levels of oxidative damage markers, accompanied with decreased antioxidant defenses, which is evidence of redox equilibrium disturbance. As for micronutrients, except for the minerals selenium and zinc, we also focused on a-tocopherol, ascorbic acid, and carotenoids, which are commonly found in plant-based diets, and on retinol and vitamin D, which are frequently present in animal-based diets. However, findings on micronutrients seem to be less clear in the aforementioned patients, which is probably affected by the different diet plans of the tested individuals. A previous study showed that vegan and vegetarian diets might lead to inadequate intake of critical micronutrients such as iron, zinc, vitamin D and A, due to the poor bioavailability of some of these from plant-derived foods or their poor concentration within those diets [123,124].

The main difference between UVR-exposed patients and UVR-related skin cancer patients is obviously the existence of skin cancer, which increases oxidative stress [36]. Cancer cells in BCC or SCC display an aberrant redox state. More particularly, the rapid energy metabolism and proliferation that characterize tumor cells result in elevated ROS production. ROS generation is also stimulated by UV radiation, which plays a key role in its carcinogenic properties. However, cells are able to adapt to this oxidative pressure by enhancing their antioxidant defense to optimize ROS-induced proliferation, along with avoiding ROS thresholds that would activate senescence, apoptosis, or ferroptosis [78]. Interestingly, NMSC patients subjected to surgical removal improved their redox status. Chaisiriwong et al. [36] reported that elevated urinary 8-oxo-dGuo levels remained high within 1 month of BCC excision, whereas normal levels were restored after a 6-month period. Nevertheless, this pattern was not followed by 1-month postoperative total SOD activities and GSH levels [36].

Oxidative stress caused by UVR can simultaneously cause systemic oxidative stress and promote cutaneous carcinogenesis. The contribution of oxidative stress to melanoma generation is considered the result of an intricate interplay. Melanocytes irradiated by UV can generate ROS, and especially H₂O₂, in a dose-dependent fashion. Excessive ROS production disrupts redox homeostasis, leading to oxidative stress and subsequently to melanoma genesis. As for the progression of the disease, oxidative stress affects the metastatic ability of melanoma cells [78]. Patients with metastatic melanoma did not exhibit differences in redox biomarkers (enzyme activity) in comparison to the control group [78]. Noteworthily, oxidative stress is associated with tumor stage [69]. One study showed that after surgical removal, patients with thicker tumors maintained elevated MDA levels compared to both healthy individuals and patients with thinner tumors. Patients with tumors exhibited notably elevated MDA levels even up to 5 years post surgical removal despite no evidence of recurrence. This was possibly caused by the chronic inflammation resulting from this medical condition [76]. Notably, plasma MDA levels were raised in melanoma patients with either primary or metastatic tumors. Elevated levels of total radical-trapping antioxidant parameter (TRAP), thiol, and advanced oxidation protein products (AOPPs) were identified only in patients with metastatic melanoma [78]. As for total serum SOD activity, it was found to be elevated significantly in stage III melanoma, while SOD2 activity was only elevated in stage IV melanoma. On the other hand, catalase activity was elevated in stage I, II, and III melanoma and not in stage IV melanoma patients. The above finding indicated that certain parameters are elevated at specific stages [69]. In addition, treatment procedure[124] and time of recovery play crucial roles as well [81]. However, further research needs to elucidate the melanoma-stage-specific relationship with oxidative stress.

In the case of wart patients, oxidative stress is evident in all types of warts, including genital and non-genital warts. In particular, an imbalance between oxidants and antioxidants, as well as prolonged HPV infection as a result of chronic inflammation, play a critical role in the development and progression of genital warts. Lesion chronicity is an important aspect and is associated with systemic oxidative stress in both skin cancer and wart patients [107]. Oxidative stress seemed to be in accordance with the recalcitrant wart state. Moreover, an association of redox biomarkers, such as catalase activity, TBARS, CARBS, and TAC, with the time of the lesion’s appearance was found by a study focused on the appearance of NMSC and systemic oxidative stress [5]. In case of benign solid lesions, no results were reported in dermatofibroma, sarcomas such as Kaposi sarcoma, and angiomas. However, these lesions are linked to skin fibrosis [125] and cutaneous angiogenesis disturbances [126] connected to oxidative stress. More studies should be performed in these types of patients to assure if systemic oxidative stress is also impaired.

The above-mentioned findings suggest that antioxidant strategies are of great importance. Previous studies revealed the beneficial role of natural bioactive compounds in oncological diseases, finding them to be a promising strategy for cancer treatment [127]. On the contrary, certain cosmetics [128] and drugs with distinct chemical characteristics [129] have the ability to absorb UV–visible radiation and undergo photosensitization. Photosensitized products lead to the formation of ROS within the cell, leading to reactions such as photoallergic and phototoxic reactions, irritant contact dermatitis, and anaphylactic reactions and contributing to skin carcinogenesis [130]. How oxidative stress contributes to skin carcinogenesis is yet to be fully elucidated. Further research needs to be performed to identify the implicated molecular mechanisms that could be targeted to develop novel therapeutic agents and improve patients’ clinical outcomes.

4. Conclusions

In general, patients with NMSC and melanoma present with disturbances of redox homeostasis, expressed in lower enzyme activities, increased ROS-modified products of lipid and protein oxidation, and, to a lesser extent, by antioxidant micronutrients. Medical history of NMSC as well as stage of skin cancer and treatment approach affect systemic oxidative stress parameters. AK patients follow the same pattern as skin cancer, while individuals with SK present no significant differences with controls. Wart patients (both genital and non-genital) are also characterized by oxidative stress levels, aligned with their resistant character.

Author Contributions

Conceptualization, E.K.; methodology, E.K., P.-M.N. and K.E.G.; writing—original draft preparation, E.K., P.-M.N., K.E.G. and G.G.; writing—review and editing, E.K., A.V.R.S., E.Z. and D.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data described in this study are available upon request from the corresponding author.

Conflicts of Interest

We declare no conflict of interest.

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Karampinis, E.; Nechalioti, P.-M.; Georgopoulou, K.E.; Goniotakis, G.; Roussaki Schulze, A.V.; Zafiriou, E.; Kouretas, D. Systemic Oxidative Stress Parameters in Skin Cancer Patients and Patients with Benign Lesions. Stresses 2023, 3, 785-812. https://doi.org/10.3390/stresses3040054

AMA Style

Karampinis E, Nechalioti P-M, Georgopoulou KE, Goniotakis G, Roussaki Schulze AV, Zafiriou E, Kouretas D. Systemic Oxidative Stress Parameters in Skin Cancer Patients and Patients with Benign Lesions. Stresses. 2023; 3(4):785-812. https://doi.org/10.3390/stresses3040054

Chicago/Turabian Style

Karampinis, Emmanouil, Paraskevi-Maria Nechalioti, Konstantina Eirini Georgopoulou, George Goniotakis, Angeliki Viktoria Roussaki Schulze, Efterpi Zafiriou, and Demetrios Kouretas. 2023. "Systemic Oxidative Stress Parameters in Skin Cancer Patients and Patients with Benign Lesions" Stresses 3, no. 4: 785-812. https://doi.org/10.3390/stresses3040054

APA Style

Karampinis, E., Nechalioti, P. -M., Georgopoulou, K. E., Goniotakis, G., Roussaki Schulze, A. V., Zafiriou, E., & Kouretas, D. (2023). Systemic Oxidative Stress Parameters in Skin Cancer Patients and Patients with Benign Lesions. Stresses, 3(4), 785-812. https://doi.org/10.3390/stresses3040054

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Systemic Oxidative Stress Parameters in Skin Cancer Patients and Patients with Benign Lesions

Abstract

1. Introduction

1.1. The Concept of Oxidative Stress

1.2. Oxidative Stress in Dermatology—The Interaction between Cutaneous and Systemic Oxidative Stress

1.3. Oxidative Stress and Skin Cancer

1.3.1. Oxidative Stress and NMSC

1.3.2. Oxidative Stress and Melanoma

1.4. Oxidative Stress and Benign Skin Lesions

1.5. Oxidative Stress and Warts

2. Result and Methods

3. Discussion

4. Conclusions

Author Contributions

Funding

Data Availability Statement

Conflicts of Interest

References

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