Next Article in Journal
Prediction of the Post-Pubertal Mandibular Length and Y Axis of Growth by Using Various Machine Learning Techniques: A Retrospective Longitudinal Study
Next Article in Special Issue
Role of Circ-ITCH Gene Polymorphisms and Its Expression in Breast Cancer Susceptibility and Prognosis
Previous Article in Journal
Applications of Artificial Intelligence in Thalassemia: A Comprehensive Review
Previous Article in Special Issue
What Can Trigger Spontaneous Regression of Breast Cancer?
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Evaluation of the RDW Index (Red Cell Distribution Width) in Women with Breast Cancer Treated with Doxorubicin in a One-Year Follow-Up Study

by
Ricardo Simões
1,2,
Amanda Cambraia Ferreira
1,
Luciana Maria Silva
3,
Adriano de Paula Sabino
2,
Maria das Graças Carvalho
2 and
Karina Braga Gomes
2,*
1
Department of Internal Medicine, Faculty of Medical Sciences of Minas Gerais, Belo Horizonte 30130-100, MG, Brazil
2
Department of Clinical and Toxicological Analysis, Faculty of Pharmacy, Federal University of Minas Gerais, Belo Horizonte 31270-901, MG, Brazil
3
Research and Development Department, Ezequiel Dias Foundation, Belo Horizonte 30130-110, MG, Brazil
*
Author to whom correspondence should be addressed.
Diagnostics 2023, 13(9), 1552; https://doi.org/10.3390/diagnostics13091552
Submission received: 22 February 2023 / Revised: 16 April 2023 / Accepted: 24 April 2023 / Published: 26 April 2023
(This article belongs to the Special Issue Advances in Breast Disease: From Screening to Diagnosis and Therapy)

Abstract

:
Breast cancer is the most common cancer and the most frequent cause of death in women. Doxorubicin, an anthracycline, is an important drug due to its efficacy in treating solid cancers, especially breast cancer. However, this drug is often responsible for cardiotoxicity that may affect more than 25% of patients. This study aimed to evaluate the red cell distribution width (RDW) in women with breast cancer to monitor adverse events associated with the use of doxorubicin. A prospective study of 80 women with breast malignancy undergoing neoadjuvant doxorubicin-based chemotherapy was conducted. The patients were evaluated at baseline (T0), just after the last cycle of chemotherapy with doxorubicin (T1), and 1 year after the treatment (T2). There was a significant increase over the time points for the RDW (p < 0.001). There was a negative correlation between the RDW and C-reactive protein (CRP) levels at T1. The RDW did not show a significant difference between the groups classified according to cardiotoxicity. Based on these results, the RDW is a cost-effective test that shows a relationship with the doxorubicin response, but not with cardiotoxicity. It is a potential biomarker to evaluate patients with breast cancer after they receive chemotherapy with doxorubicin.

1. Introduction

The American Cancer Society (ACS) estimated 1,898,160 new cases of and 608,570 deaths from cancer in the USA in 2021 [1]. In this population, female breast cancer represents an estimated 281,550 new cases and 43,600 deaths. Breast cancer is the second-most common type of cancer in the world and the most-common among women, except in cases of non-melanoma skin cancer. Despite being considered a cancer with a good prognosis if diagnosed and treated early, mortality rates remain high in developing countries, most likely because the disease is still diagnosed in advanced stages [2].
Doxorubicin, an anthracycline, is an important drug due to its efficacy in treating solid cancers, especially breast cancer. However, this drug is often responsible for cardiotoxicity that may affect more than 25% of patients. This occurs mainly in the first year after chemotherapy and leads to mortality in 1–4% of patients [3]. In addition to the early diagnosis of breast cancer being a critical point, the application of biomarkers to evaluate the wide spectrum of the therapeutic response and adverse events is necessary. In this way, the use of a simple, automated, and easy-to-obtain test, such as a blood count, can be explored to provide an accurate interpretation of potentially-important data during the follow-ups with patients undergoing treatment.
One of these markers is the variation in the size of red cells—the red cell distribution width (RDW)—a laboratory parameter widely used to quantify anisocytosis, which reflects the variability in the size of circulating erythrocytes [4]. It is reported by automated systems. The RDW is also an early marker of iron deficiency anemia, impaired iron mobilization, and increased oxidative stress. Its main clinical application has been limited, until recently, to the diagnosis of thalassemia trait anemia, as well as an exclusion marker for iron deficiency anemia in cases where serum ferritin does not accurately indicate a disorder in the total iron reserve [5,6]. However, RDW oscillations have been related to many pathophysiological conditions, where its elevation is associated with ischemic heart disease, acute and chronic heart failure, atherosclerosis, and other conditions that evolve with a progressive inflammatory state [7,8,9,10]. The molecular basis of the aforementioned associations has mainly been attributed to the ability of the RDW to reliably reflect increased levels of circulating cytokines, such as interleukin-6 (IL-6) and tumor necrosis factor-alpha (TNF-α) [11].
Huang [12] demonstrated that the RDW was significantly related to breast cancer in young women, and was positively associated with tumor size and the presence of sentinel lymph nodes in samples from the evaluated patients. Another study, which included 104 patients with breast cancer, 100 patients with breast hyperplasia, and 100 healthy patients (control), showed that the RDW increased in patients with breast cancer compared to patients with hyperplasia [13]. Yoo et al. [14] observed that patients with breast cancer with a preoperative RDW over 13.5% had a 1.7-fold higher risk of recurrence and mortality. Moreover, the RDW was correlated with breast parenchymal pattern density from mammography in women with breast cancer [15].
Although cancer is currently considered a disease associated with chronic inflammation [16,17], an increase in the RDW has not been investigated as a potential biomarker in the diagnosis or prognosis of the disease. As far as we know, researchers have not yet evaluated the RDW in patients with breast cancer after treatment with doxorubicin classified according to cardiotoxicity. Therefore, we evaluated the RDW in women with breast cancer treated with doxorubicin in a 1-year follow up study. In addition, we determined the correlation between the RDW and C-reactive protein (CRP), an inflammatory marker.

2. Materials and Methods

2.1. Subjects

This study was approved by the UFMG Research Ethics Committee (CAAE: 38538714.2.0000.5149), according to the World Medical Association Declaration of Helsinki. Written informed consent was obtained from all participants before inclusion in this study.
The inclusion criteria were as follows: patients aged over 18 years, female, and with breast cancer indicated for neoadjuvant chemotherapy (CT) based on anthracyclines (doxorubicin). The patients were recruited in an outpatient oncology clinic (Alberto Cavalcanti Hospital, Belo Horizonte, Brazil), from 2015 to 2018. The exclusion criteria were as follows: a previous history of CT or radiotherapy; ventricular systolic dysfunction with a left ventricular ejection fraction (LVEF) of <50%, or patients in whom this condition could not be evaluated prior to CT; a history of heart disease or signs of decompensation (myocardial infarction, congestive heart failure, angina pectoris, or arrhythmia); valve disease (valve stenosis of any degree, regurgitation greater than mild severity) or uncontrolled arterial hypertension; liver or renal dysfunction; neurodegenerative diseases that required action by caregivers; and pregnant or breastfeeding women.
The criteria defined by López-Sendón et al. [18] were used to characterize cardiotoxicity: occurrence of new myocardial dysfunction (even asymptomatic), such as LVEF <50%, a 10% reduction in LVEF after the treatment, or an increase in troponin I (cTnI) or N-terminal type B natriuretic pro-peptide (NT-proBNP) levels after treatment.

2.2. Blood Samples and Measurements

Blood markers were evaluated at 3 time points: T0, pre-CT with doxorubicin; T1, post-CT (interval of up to 1 week after the end of doxorubicin administration); and T2, 1 year after the end of CT with doxorubicin and after fasting for 12 h. The RDW and CRP levels were obtained from medical records at these times. Morphological data were analyzed based on histological and immunohistochemical characteristics of the tumors. The cTnI and NT-proBNP levels were determined in serum samples by using chemiluminescence immunoassays in the Vitros 5600® apparatus (OrthoClinical Diagnostics, Singapore).

2.3. Statistical Analyses

Categorical variables are presented as absolute and relative frequencies, and numeric variables are presented as the mean ± standard deviation or median (1st quartile–3rd quartile) for normally and non-normally distributed variables, respectively. To evaluate the significant differences between the three moments of the measurements, generalized estimating equation (GEE) models with a gamma distribution were used. Correlations between variables were assessed using Spearman’s correlation coefficient. Student’s t-test or the Mann–Whitney test was used to compare two independent groups, and analysis of variance (ANOVA) or the Kruskal–Wallis test with Bonferroni correction was used to compare more than two independent groups. The chi-square test was applied to compare frequencies between two or more groups. Analyses were performed using R software version 4.0.3 (R Foundation for Statistical Computing, Vienna, Austria), and a significance level of 5% was considered.

3. Results

Table 1 shows the demographic aspects of the population, comprising 80 patients with a mean age of 50.3 ± 12.7 years. There was a predominance of invasive ductal (90%) and human epidermal growth factor receptor 2 (HER2)-positive (43%) tumors. The mean dose of doxorubicin was 379 ± 62 mg. Thirty-three (41.2%) patients underwent treatment in combination with trastuzumab, and the mean length of time between the last doxorubicin cycle and the treatment with trastuzumab was 26 days (range 19–45 days)—that is, before T2. Cardiotoxicity occurred in 54 (67.5%) patients, but cardiotoxicity did not present a relationship with the molecular diagnosis of the tumor (p = 0.817). Four patients died before the T2 evaluation, due to causes unrelated to the treatment; for these patients, the values of the markers at T1 were used for T2.
The RDW was significantly lower at T0 (12.0% ± 1.8%) compared with T1 (13.7% ± 2.2%) and T2 (14.7% ± 2.8%), and significantly lower at T1 compared with T2 (all p < 0.001) (Figure 1). The correlations between the RDW and the molecular diagnosis, HER2-positive status, and treatment with trastuzumab were not significantly different at any of the three analyzed time points (Table 2). In addition, the RDW was not different between the groups classified according to cardiotoxicity (Table 3).
CRP levels were lower at T2 (median 6.7 [5–10.1] mg/dL) compared with T0 (median 10.2 [5–18.6] mg/dL) (p = 0.033), and at T2 compared with T1 (median 9.3 [5–17.9] mg/dL) (p = 0.038). There was a significant and negative correlation between CRP and the RDW only at T1 (r = −0.344, p = 0.003). The CRP levels were not different between the cardiotoxicity and non-cardiotoxicity groups after doxorubicin treatment (p > 0.05). Only the cTnI and NT-proBNP levels changed during the follow-ups; these changes are part of the criteria for cardiotoxicity classification (Table 3).

4. Discussion

The RDW value was increased at the 1-year follow-up in women with breast cancer treated with doxorubicin, but it did not show a relationship with cardiotoxicity induced by the treatment. One year after chemotherapy, the RDW was higher than at the other time points, when all patients showed progression-free survival, which was measured from the date of definitive surgery after chemotherapy to T2 (the last follow-up). This finding suggests that the RDW could be a potential biomarker to evaluate the response to doxorubicin treatment. The variation in the size of erythrocytes, denoted by the RDW and obtained from complete blood cell count panels, is a reproducible, cost-effective, and accessible marker, and its inclusion as a CT-monitoring test would be desirable, due to the lack of a test that can assess the therapeutic response to doxorubicin [19].
The inflammatory process associated with cancer is a hallmark of tumor development and progression [20,21], and the RDW has been considered an inflammation-associated marker [20], with the potential to aid in determining the prognosis and overall mortality in these diseases, including several types of cancers [19]. An extensive inflammatory reaction is triggered, and leads to an increase in levels of circulating cytokines such as IL-6 and TNF-α [22] that can influence cell proliferation, survival, drug resistance, and migration of tumors [21]. The mechanism of the relationship between the RDW and the inflammatory process is still unknown, but it is believed that these cytokines suppress the maturation of erythrocytes and accelerate the entry of larger new reticulocytes into the peripheral circulation, thus increasing the RDW [22]. In addition, with regard to the association between the RDW and the nutritional status, malnutrition of patients due to iron, folate, and vitamin B12 deficiency, due to hyporexia caused by cancer, can affect hematopoiesis and, thus, amplify the heterogeneity in the red blood cell volume, leading to an increase in the RDW [22].
The contribution of the immune system to breast cancer prognosis has been investigated in several studies. Tumor-infiltrating lymphocytes (TIL) have been shown to provide prognostic and predictive values [23]. Curiously, triple-negative breast cancer is most likely to have tumors with >50% lymphocytic infiltrate, and there is a survival benefit from each 10% increase in TILs [24]. On the contrary, an increase in TILs is an adverse prognostic factor for survival in luminal HER2-negative breast cancer, suggesting a different biology of the immunological infiltrate in this subtype [25]. Additionally, Denker et al. [26] observed that the presence of tumor-associated lymphocytes in breast cancer was a predictor of response to anthracycline neoadjuvant chemotherapy. Unfortunately, TILs were not evaluated in the histological analyses carried out in the present study. Hence, further investigation regarding the relationship between TILs and the RDW is necessary to evaluate their potential as a marker of the local inflammatory process.
In a retrospective study including 395 patients that underwent surgical resection—breast-conserving surgery or total mastectomy, adjuvant chemotherapy, and radiotherapy—Lee et al. [27] observed that a lower RDW before treatment and then an increase in the RDW after treatment was significantly associated with poor survival. In addition, a high pretreatment RDW in patients with breast cancer was associated with poor overall and disease-free survival, along with a large tumor size, a high rate of lymph node metastases, tumor stage, advanced stage, a higher lymphocyte count, and high fibrinogen and CRP levels [28]. On the contrary, in this study, there was an increase in the RDW in patients after doxorubicin treatment.
The CRP levels decreased significantly over time, a finding in agreement with our previous study, which suggests that doxorubicin is capable of decreasing systemic inflammation [21]. CRP levels are used to detect inflammatory reactions and to help assess the progression of these diseases [29]; hence, the increased plasma concentrations are directly related to tumor burden and cancer prognosis [30]. Thus, the decrease in the CRP concentration between T0 and T2 represents a possible improvement in the inflammatory status after treatment. Curiously, the RDW was negatively correlated with CRP at T1. However, in chronic degenerative diseases, temporal variation can occur differently for markers and over a longer period; thus, there would not be an overlap of the results between the two variables [20]. Our results suggest that other mechanisms, in addition to inflammation, could contribute to stimulate reticulocyte release (represented by the RDW) in response to doxorubicin treatment, even one year after the treatment.
The use of doxorubicin causes numerous adverse events, the most common being spinal cord depression, bone loss, leukopenia, nausea, vomiting, anorexia, diarrhea, mucositis, alopecia, hemorrhagic cystitis, and, most importantly, cardiomyopathy [31]. The usual therapeutic regimen is the combination of doxorubicin with cyclophosphamide and taxanes (AC-T regimen). The treatment of the HER2-positive breast cancer also includes the association of the recombinant humanized monoclonal antibody, trastuzumab, which also has the potential to cause cardiotoxicity [32]. In our study, four (5%) patients died before T2, and 43% of the patients had the HER2-positive molecular diagnosis, which were then submitted to the treatment scheme with trastuzumab. However, the RDW was not different at the time points studied when comparing those who did and did not receive trastuzumab. There was no difference in the RDW according to the molecular or histological characteristics of the tumor. In contrast, Zou et al. [33] observed that the RDW was negatively correlated with the breast cancer histological grade and molecular typing in 653 patients.
The cTnI level is the gold standard in the diagnosis and prognosis of myocardial injury. It is usually increased after high doses of chemotherapy and is recognized as an independent biomarker of cardiotoxicity [34]. NT-proBNP originates from the cardiac ventricles, and is released into the circulation in response to ventricular volume expansion and pressure overload [35]. cTnI and NT-proBNP are important in the early detection of anthracycline-induced cardiotoxicity, associated with a ≥10% decline in LVEF [21,35,36]. In fact, cTnI and NT-proBNP levels at T1 and NT-proBNP levels at T2 were higher in the cardiotoxicity group, results that were expected because the elevation of these markers is part of the criteria to diagnose cardiotoxicity after doxorubicin treatment [18]. However, the RDW was not correlated with the cTnI and NT-proBNP levels. Our data suggest that the RDW is not a marker of anthracycline-induced cardiotoxicity, but it could be useful to track the therapeutic response, regardless of the tumor type.
Some limitations of this study should be considered. The main limitation is that the analysis was carried out in a single center and with a small number of patients. In addition, only patients with breast cancer treated with doxorubicin were included. Moreover, the number of studies that address the relationship between the RDW and cancer is still very small. There is a need for new studies with larger samples that corroborate the application of this index as routine in this condition. Finally, the mechanism that associates the increase in the RDW and the doxorubicin effect should be elucidated in additional studies.

5. Conclusions

This study suggests that RDW is not related to doxorubicin-induced cardiotoxicity, but it could be a widely accessible and inexpensive marker to evaluate the response to this anthracycline in women with breast cancer.

Author Contributions

Participation in the conception and project design: R.S., A.C.F. and K.B.G. Acquisition, analysis, and interpretation of data: R.S., A.C.F., L.M.S., A.P.S., M.G.C. and K.B.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Fundação de Amparo à Pesquisa do Estado de Minas Gerais (FAPEMIG).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Research Ethics Committee from Federal University of Minas Gerais (CAAE: 38538714.2.0000.5149).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data that support the findings of this study are available on request from the corresponding author, K.B.G.

Acknowledgments

A.C.F. thanks the FAPEMIG incentive for the Scientific Initiation Scholarship, and K.B.G. thanks CNPq for the research fellowship.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Siegel, R.; Miller, K.; Jemal, A. Cancer Statistics. CA Cancer J. Clin. 2021, 71, 7–33. [Google Scholar] [CrossRef] [PubMed]
  2. INCA. Estimate: Incidence of Cancer in Brazil. MS/SVS/DASIS/CGIAE/Sistema de Informação Sobre Mortalidade 2021. Available online: https://www.inca.gov.br/numeros-de-cancer (accessed on 24 May 2021).
  3. Curigliano, G.; Cardinale, D.; Dent, S.; Criscitiello, C.; Aseyev, O.; Lenihan, D.; Cipolla, C.M. Cardiotoxicity of anticancer treatments: Epidemiology, detection, and management. CA Cancer J. Clin. 2016, 66, 309–325. [Google Scholar] [CrossRef] [PubMed]
  4. Förhécz, Z.; Gombos, T.; Borgulya, G.; Pozsonyi, Z.; Prohászka, Z.; Jánoskuti, L. Red cell distribution width in heart failure: Prediction of clinical events and relation-ship with markers of ineffective erythropoiesis, inflammation, renal function, and nutritional state. Am. Heart J. 2009, 158, 659–666. [Google Scholar] [CrossRef] [PubMed]
  5. Demir, A.; Yarali, N.; Fisgin, T.; Duru, F.; Kara, A. Most reliable indices in differentiation between thalassemia trait and iron deficiency anemia. Pediatr. Int. 2002, 44, 612–616. [Google Scholar] [CrossRef] [PubMed]
  6. Zeben, D.; Bieger, R.; Wermeskerken, R.K.A.; Castel, A.; Hermans, J. Evaluation of microcytosis using serum ferritin and red blood cell distribution width. Eur. J. Haematol. 1990, 44, 106–109. [Google Scholar] [CrossRef]
  7. Gunebakmaz, O.; Kaya, M.G.; Duran, M.; Akpek, M.; Elcik, D.; Eryol, N.K. Red blood cell distribution width in ‘Non-Dippers’ versus ‘Dippers’. Cardiology 2012, 123, 154–159. [Google Scholar] [CrossRef]
  8. Nishizaki, Y.; Yamagami, S.; Suzuki, H.; Joki, Y.; Takahashi, S.; Sesoko, M.; Yamashita, H.; Kuremoto, K.; Shinozaki, T.; Daida, H. Red blood cell distribution width as an effective tool for detecting fatal heart failure in super-elderly patients. Intern. Med. 2012, 51, 2271–2276. [Google Scholar] [CrossRef]
  9. Karabulut, A.; Uzunlar, B. Correlation between red cell distribution width and coronary ectasia in the acute myocardial infarction. Clin. Appl. Thromb. Hemost. 2012, 18, 551–552. [Google Scholar] [CrossRef]
  10. Yesil, A.; Senates, E.; Bayoglu, I.; Erdem, E.D.; Demirtunç, R.; Övünç, A.O.K. Red cell distribution width: A novel marker of activity in inflammatory bowel disease. Gut Liver 2011, 5, 460–467. [Google Scholar] [CrossRef]
  11. de Gonzalo-Calvo, D.; de Luxan-Delgado, B.; Rodriguez-Gonzalez, S.; García-Macia, M.; Suárez, F.M.; Solano, J.J.; Rodríguez-Colunga, M.J.; Coto-Montes, A. Interleukin 6, soluble tumor necrosis factor receptor I and red blood cell distribution width as biological markers of functional dependence in an elderly population: A translational approach. Cytokine 2012, 58, 193–198. [Google Scholar] [CrossRef]
  12. Huang, D.; Ma, R.; Xiang, Y. Utility of red cell distribution width as a prognostic factor in young breast cancer patients. Medicine 2016, 95, e3430. [Google Scholar] [CrossRef] [PubMed]
  13. Lu, F.; Pan, S.; Qi, Y.; Li, X.; Wang, J. The Clinical Application Value of RDW, CA153, and MPV in Breast Cancer. Clin. Lab. 2021, 67. [Google Scholar] [CrossRef] [PubMed]
  14. Yoo, Y.; Park, S.; Kim, H.; Jung, H.-E.; Kim, J.-Y.; Kim, M.-H. Preoperative Routine Laboratory Markers for Predicting Postoperative Recurrence and Death in Patients with Breast Cancer. J. Clin. Med. 2021, 10, 2610. [Google Scholar] [CrossRef] [PubMed]
  15. Kim, J.; Lee, H.; Cho, J.; Park, H.-K.; Yang, H.-J. Correlations between female breast density and biochemical markers. J. Phys. Ther. Sci. 2015, 27, 2097–2100. [Google Scholar] [CrossRef] [PubMed]
  16. Chiba, T.; Marusawa, H.; Ushijima, T. Inflammation associated cancer development in digestive organs: Mechanisms and roles for genetic and epigenetic modulation. Gastroenterology 2012, 143, 550–563. [Google Scholar] [CrossRef]
  17. Baicus, C.; Caraiola, S.; Rimbas, M.; Patrascu, R.; Baicus, A.; Badea, C.; Balanescu, E.; Balea, M.; Constantin, G.; Constantinescu, I.; et al. Utility of routine hematological and inflammation parameters for the diagnosis of cancer in involuntary weight loss. J. Investig. Med. 2011, 59, 951–955. [Google Scholar] [CrossRef]
  18. López-Sendón, J.; Álvarez-Ortega, C.; Zamora Auñon, P.; Buño Soto, A.; Lyon, A.R.; Farmakis, D.; Cardinale, D.; Canales Albendea, M.; Feliu Batlle, J.; Rodríguez Rodríguez, I.; et al. Classification, prevalence, and outcomes of anticancer therapy-induced cardiotoxicity: The CARDIOTOX registry. Eur. Heart J. 2020, 41, 1720–1729. [Google Scholar] [CrossRef]
  19. Hu, L.; Li, M.; Ding, Y.; Pu, L.; Liu, J.; Xie, J.; Cabanero, M.; Li, J.; Xiang, R.; Xiong, S. Prognostic value of RDW in cancers: A systematic review and meta-analysis. Oncotarget 2016, 8, 16027–16035. [Google Scholar] [CrossRef]
  20. Takeuchi, H.; Abe, M.; Takumi, Y.; Hashimoto, T.; Miyawaki, M.; Okamoto, T.; Sugio, K. Elevated red cell distribution width to platelet count ratio predicts poor prognosis in patients with breast cancer. Sci. Rep. 2019, 9, 3033. [Google Scholar] [CrossRef]
  21. Simões, R.; Silva, L.M.; de Oliveira, A.N.; Alves, M.T.; Pestana, R.M.C.; de Souza, I.D.P.; Oliveira, H.H.M.; Soares, C.E.; Sabino, A.D.P.; Gomes, K.B. Identification of clinical and laboratory variables associated with cardiotoxicity events due to doxorubicin in breast cancer patients: A 1-Year Follow-Up Study. Cardiovasc. Toxicol. 2021, 21, 106–114. [Google Scholar] [CrossRef]
  22. Pareek, N.; Cevallos, J.; Moliner, P.; Shah, M.; Tan, L.L.; Chambers, V.; Baksi, A.J.; Khattar, R.S.; Sharma, R.; Rosen, S.D.; et al. Activity and outcomes of a cardio-oncology service in the United Kingdom-a five-year experience. Eur. J. Heart Fail. 2018, 20, 1721–1731. [Google Scholar] [CrossRef] [PubMed]
  23. Salgado, R.; Denkert, C.; Demaria, S.; Sirtaine, N.; Klauschen, F.; Pruneri, G.; Wienert, S.; Van den Eynden, G.; Baehner, F.L.; Penault-Llorca, F.; et al. The evaluation of tumor-infiltrating lymphocytes (TILs) in breast cancer: Recommendations by an International TILs Working Group 2014. Ann. Oncol. 2015, 26, 259–271. [Google Scholar] [CrossRef] [PubMed]
  24. Stanton, S.E.; Disis, M.L. Clinical significance of tumor-infiltrating lymphocytes in breast cancer. J. Immunother. Cancer 2016, 4, 59. [Google Scholar] [CrossRef] [PubMed]
  25. Denkert, C.; Von Minckwitz, G.; Darb-Esfahani, S.; Lederer, B.; Heppner, B.I.; Weber, K.E.; Budczies, J.; Huober, J.; Klauschen, F.; Furlanetto, J.; et al. Tumour-infiltrating lymphocytes and prognosis in different subtypes of breast cancer: A pooled analysis of 3771 patients treated with neoadjuvant therapy. Lancet Oncol. 2018, 19, 40–50. [Google Scholar] [CrossRef] [PubMed]
  26. Denkert, C.; Loibl, S.; Noske, A.; Roller, M.; Müller, B.M.; Komor, M.; Budczies, J.; Darb-Esfahani, S.; Kronenwett, R.; Hanusch, C.; et al. Tumor-associated lymphocytes as an independent predictor of response to neoadjuvant chemotherapy in breast cancer. J. Clin. Oncol. 2010, 28, 105–113. [Google Scholar] [CrossRef]
  27. Lee, H.S.; Jung, E.J.; Kim, J.M.; Kim, J.Y.; Kim, T.H.; Jang, J.Y.; Woo, J.W.; Lee, J.; Park, T.; Jeong, S.-H. The usefulness of red blood cell distribution width and its ratio with platelet count in breast cancer after surgery and adjuvant treatment: A retrospective study. Gland. Surg. 2022, 11, 1864–1873. [Google Scholar] [CrossRef]
  28. Yao, D.; Wang, Z.; Cai, H.; Li, Y.; Li, B. Relationship between red cell distribution width and prognosis in patients with breast cancer after operation: A retrospective cohort study. Biosci. Rep. 2019, 39, BSR20190740. [Google Scholar] [CrossRef]
  29. Csendes, J.A.; Muñoz, A.; Burgos, A. Blood count and C-reactive protein evolution in gastric cancer patients with total gastrectomy surgery. ABCD Arq. Bras. Cir. Dig. 2014, 27, 234–236. [Google Scholar] [CrossRef]
  30. Pudil, R.; Mueller, C.; Čelutkienė, J.; Henriksen, P.A.; Lenihan, D.; Dent, S.; Barac, A.; Stanway, S.; Moslehi, J.; Suter, T.M.; et al. Role of serum biomarkers in cancer patients receiving cardiotoxic cancer therapies: A position statement from the Cardio-Oncology Study Group of the Heart Failure Association and the Cardio-Oncology Council of the European Society of Cardiology. Eur. J. Heart Fail. 2020, 22, 1966–1983. [Google Scholar] [CrossRef]
  31. Schneeweiss, A.; Chia, S.; Hickish, T.; Harvey, V.; Eniu, A.; Waldron-Lynch, M.; Eng-Wong, J.; Kirk, S.; Cortés, J. Long-term efficacy analysis of the randomised, phase II TRYPHAENA cardiac safety study: Evaluating pertuzumab and trastuzumab plus standard neoadjuvant anthracycline-containing and anthracycline-free chemotherapy regimens in patients with HER2-positive early breast câncer. Eur. J. Cancer 2018, 89, 27–35. [Google Scholar] [CrossRef]
  32. Santos, M.H.H. Detection of subclinical trastuzumab-induced cardiotoxicity in patients with breast cancer. Arq. Bras. Cardiol. 2013, 101, 2–3. [Google Scholar] [CrossRef] [PubMed]
  33. Zou, H.; Liu, S.-H.; Yang, R.; Wu, X.-J.; Cao, Y.-P.; Huang, H.-F. Combination of Neutrophil-to-Lymphocyte Ratio and Red Cell Distribution Width with Serum Tumor Markers for the Differential Diagnosis of Breast Cancer and its Association with Pathological Features and Molecular Types. Clin. Breast. Cancer 2022, 22, e526–e535. [Google Scholar] [CrossRef] [PubMed]
  34. Simões, R.; Silva, L.M.; Cruz, A.L.V.M.; Fraga, V.G.; Sabino, A.D.P.; Gomes, K.B. Troponin as a cardiotoxicity marker in breast cancer patients receiving T anthracycline-based chemotherapy: A narrative review. Biomed. Pharmacother. 2018, 107, 989–996. [Google Scholar] [CrossRef] [PubMed]
  35. De Iuliis, F.; Salerno, G.; Taglieri, L.; De Biase, L.; Lanza, R.; Cardelli, P.; Scarpa, S. Tumour serum biomarkers evaluation to predict chemotherapy-induced cardiotoxicity in breast cancer patients. Tumour Biol. 2016, 37, 3379–3387. [Google Scholar] [CrossRef]
  36. Bracun, V.; Aboumsallem, J.P.; van der Meer, P.; de Boer, R.A. Cardiac biomarkers in patients with cancer: Considerations, Clinical Implications, and Future Avenues. Curr. Oncol. Rep. 2020, 22, 67–78. [Google Scholar] [CrossRef]
Figure 1. The RDW at T0 (before doxorubicin treatment), T1 (just after the treatment), and T2 (one year after the treatment) in women with breast cancer.* Significant: p < 0.05.
Figure 1. The RDW at T0 (before doxorubicin treatment), T1 (just after the treatment), and T2 (one year after the treatment) in women with breast cancer.* Significant: p < 0.05.
Diagnostics 13 01552 g001
Table 1. Descriptive analysis of patients with breast cancer treated with doxorubicin.
Table 1. Descriptive analysis of patients with breast cancer treated with doxorubicin.
VariablePatients (n = 80)
Mean age50.3 ± 12.7 years
Histological diagnosis—n (%)
Invasive ductal carcinoma72 (90%)
Invasive lobular carcinoma6 (7%)
Special types2 (8%)
Molecular diagnosis—n (%)
Luminal25 (32%)
HER234 (43%)
Triple-negative20 (25%)
ER—n (%)
Positive39 (49%)
Negative40 (51%)
PR—n (%)
Positive28 (35%)
Negative51 (65%)
Dose DOXO379 ± 62 mg/m2
Trastuzumab deruxtecan—n (%)
Yes33 (41%)
No47 (59%)
RT Post-CT—n (%)
Yes53 (66%)
No27 (34%)
Death—n (%)
Yes4 (5%)
No76 (95%)
Cardiotoxicity—n (%)
Yes54 (68%)
No26 (32%)
Abbreviations: DOXO–doxorubicin; HER2—human epidermal growth factor receptor 2; ER—estrogen receptor; PR—progesterone receptor; RT Post-CT—radiotherapy post-chemotherapy.
Table 2. Comparison of RDW with molecular diagnosis and use of trastuzumab at different time points.
Table 2. Comparison of RDW with molecular diagnosis and use of trastuzumab at different time points.
RDW
T0T1T2
Molecular diagnosis
Luminal12.0 (11.0—12.8)14.5 (12.4—16.7)14.6 (13.6—16.7)
HER212.4 (11.1—14.1)13.4 (12.3—14.1)14.8 (13.8—16.1)
Triple-negative11.0 (9.8—12.3)13.9 (12.4—15.9)15.5 (12.4—16.1)
p-Value K0.1260.1760.708
Trastuzumab use
Yes12.4 (11.1—13.9)13.2 (12.3—14.1)14.8 (14.1—16.4)
No11.8 (10.7—12.8)14.1 (12.4—15.9)14.6 (13.4—16.6)
p-Value M0.1670.0580.688
K Kruskal–Wallis test; M Mann–Whitney test. Abbreviations: T0—initial time; T1—time just after chemotherapy treatment; T2—time one year after completion of chemotherapy; RDW—red cell distribution width; HER2—human epidermal growth factor receptor 2. Significant: p < 0.05.
Table 3. Comparison of RDW and cardiac markers with cardiotoxicity in breast cancer patients treated with doxorubicin.
Table 3. Comparison of RDW and cardiac markers with cardiotoxicity in breast cancer patients treated with doxorubicin.
Cardiotoxicity
Yes (n = 54)No (n = 26)p-Value M
Initial Time (T0)
RDW index 12.0 (10.8—12.8)12.7 (10.9—14.2)0.178
CRP 10.2 (5.0—22.5)10.4 (5.7—15.6)0.699
cTnI 0.012 (0.012—0.012)0.012 (0.012—0.012)0.557
NT-proBNP 52.4 (34.8—85.3)63.3 (49.0—86.7)0.223
Per CT (T1)
RDW 13.2 (12.3—14.6)14.3 (13.2—15.3)0.129
CRP 9.7 (5.0—17.9)7.2 (5.0—12.9)0.491
cTnI 0.017 (0.012—0.028)0.012 (0.012—0.013)0.002 *
NT-proBNP 77.2 (45.1—162.0)42.1 (32.8—53.5)0.001 *
One year Post-CT (T2)
RDW 15.2 (13.6—16.5)14.2 (13.5—15.7)0.197
CRP 6.4 (5.0—12.5)8.2 (6.0—10.1)0.288
cTnI 0.012 (0.012—0.018)0.012 (0.012—0.012)0.308
NT-proBNP 80.3 (38.0—147.0)48.7 (32.8—66.3)0.011 *
M Mann–Whitney U test. Abbreviations: RDW—red cell distribution width index; CT—chemotherapy; cTnI—cardiac troponin I (ng/mL); NT-proBNP—N-terminal-prohormone brain natriuretic peptide (or N-terminal of the B-type natriuretic peptide) (pg/mL).* Significant: p < 0.05.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Simões, R.; Ferreira, A.C.; Silva, L.M.; Sabino, A.d.P.; Carvalho, M.d.G.; Gomes, K.B. Evaluation of the RDW Index (Red Cell Distribution Width) in Women with Breast Cancer Treated with Doxorubicin in a One-Year Follow-Up Study. Diagnostics 2023, 13, 1552. https://doi.org/10.3390/diagnostics13091552

AMA Style

Simões R, Ferreira AC, Silva LM, Sabino AdP, Carvalho MdG, Gomes KB. Evaluation of the RDW Index (Red Cell Distribution Width) in Women with Breast Cancer Treated with Doxorubicin in a One-Year Follow-Up Study. Diagnostics. 2023; 13(9):1552. https://doi.org/10.3390/diagnostics13091552

Chicago/Turabian Style

Simões, Ricardo, Amanda Cambraia Ferreira, Luciana Maria Silva, Adriano de Paula Sabino, Maria das Graças Carvalho, and Karina Braga Gomes. 2023. "Evaluation of the RDW Index (Red Cell Distribution Width) in Women with Breast Cancer Treated with Doxorubicin in a One-Year Follow-Up Study" Diagnostics 13, no. 9: 1552. https://doi.org/10.3390/diagnostics13091552

APA Style

Simões, R., Ferreira, A. C., Silva, L. M., Sabino, A. d. P., Carvalho, M. d. G., & Gomes, K. B. (2023). Evaluation of the RDW Index (Red Cell Distribution Width) in Women with Breast Cancer Treated with Doxorubicin in a One-Year Follow-Up Study. Diagnostics, 13(9), 1552. https://doi.org/10.3390/diagnostics13091552

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop