Pretreatment Albumin-to-Alkaline Phosphatase Ratio Is a Prognostic Marker in Lung Cancer Patients: A Registry-Based Study of 7077 Lung Cancer Patients
1
Department of Clinical Biochemistry, Viborg Regional Hospital, 8800 Viborg, Denmark
2
Department of Clinical Biochemistry, Aarhus University Hospital, 8200 Aarhus N, Denmark
3
Department of Oncology, Aarhus University Hospital, 8200 Aarhus N, Denmark
*
Author to whom correspondence should be addressed.
Cancers 2021, 13(23), 6133; https://doi.org/10.3390/cancers13236133
Submission received: 3 November 2021
/
Revised: 29 November 2021
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Accepted: 2 December 2021
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Published: 6 December 2021
(This article belongs to the Collection The Biomarkers for the Diagnosis and Prognosis in Cancer)
Abstract
:Simple Summary
Since the albumin-to-alkaline phosphatase ratio (AAPR) has shown promising prognostic prediction in cancer patients, the prognostic value of the AAPR was evaluated in a large cohort of 7077 lung cancer patients. We combined patient data from the Danish Lung Cancer Registry and the clinical laboratory information system (LABKA) and showed that a low AAPR was independently associated with an inferior median overall survival in non-small cell lung cancer patients and small cell lung cancer patients. Furthermore, data indicated a level-dependent correlation between the AAPR and survival and that the AAPR added additional prognostic value to the already well-established prognostic markers in lung cancer. Therefore, if our findings are validated in the future, the AAPR should be incorporated as a factor in the general prognostication of lung cancer patients.
Abstract
The albumin-to-alkaline phosphatase ratio (AAPR) is a novel promising prognostic marker in cancer patients. However, the evidence for its significance in lung cancer is scarce. Therefore, we assessed the prognostic value of the AAPR in a large cohort of lung cancer patients. Data on lung cancer patients diagnosed from January 2009 to June 2018 were extracted from the Danish Lung Cancer Registry and combined with data on the pretreatment serum AAPR level extracted from the clinical laboratory information system (LABKA). AAPR tertiles were applied as cutoffs. Cox proportional hazard models assessed the prognostic value of the AAPR. In total, 5978 non-small cell lung cancer (NSCLC) patients and 1099 small cell lung cancer (SCLC) patients were included. Decreasing AAPR level was significantly associated with declining median overall survival (OS) in NSCLC patients (medium vs. low AAPR, adjusted HR = 0.73 (95% confidence interval (CI) 0.68–0.79); high vs. low AAPR, adjusted HR = 0.68 (95% CI 0.62–0.73)) and in SCLC patients (medium vs. low AAPR, adjusted HR = 0.62 (95% CI 0.52–0.74); high vs. low, adjusted HR = 0.59 (95% CI 0.50–0.70)). In conclusion, the AAPR was an independent prognostic factor in NSCLC and SCLC patients. The correlation seems to be level dependent, with reducing survival found to be associated with decreasing AAPR level.
1. Introduction
Lung cancer is the most commonly diagnosed cancer type and the leading cause of malignancy-related death worldwide [1]. Despite several advances in treatment modalities during recent years, the prognosis of lung cancer patients remains poor. To prolong the survival, an improved stratification of lung cancer patients based on their prognosis is needed to secure a more optimal treatment strategy for each patient. The tumor node metastasis (TNM) staging system [2] and the performance stage (PS) assessment [3] are well-established and valuable prognostic markers in lung cancer. However, they fail to accurately predict the prognosis of lung cancer patients; therefore, it is of utmost importance to identify additional prognostic markers.
Albumin is the most abundant protein in the blood and its concentration in blood reflects protein status and the function of internal organs [4]. The synthesis of albumin is suppressed by inflammation and malnutrition [5], and therefore serum albumin concentration can reflect both the systemic inflammatory response in a patient [5,6] and can be used as a simple indicator of a patient’s nutritional condition [5]. In cancer patients, serum albumin level is often normal or only slightly decreased in the early stages of cancer but drops as the disease progresses, and low serum albumin levels have been found to provide negative prognostic significance in cancer patients [7]. Serum alkaline phosphatase is another marker that has been associated with prognostic impact on a cancer patient’s survival [8,9]. Alkaline phosphatase is a hydrolase enzyme concentrated in the liver, bile duct, and kidneys [10] and, in cancer patients, elevated serum levels are primarily observed when cancer involves the bone or the liver.
A new prognostic index has been introduced that combines serum albumin and serum alkaline phosphatase, i.e., the albumin-to-alkaline phosphatase ratio (AAPR), and has been shown to have significant prognostic value in several types of cancer, especially in hepatocellular carcinoma [11,12]. Interestingly, the data indicate that combining these two prognostic markers can offer additional prognostic value as compared with the single markers [13,14]. Thus, the AAPR could be a valuable marker for identifying cancer patients with inferior prognoses requiring more intensive treatment.
However, the AAPR has been evaluated only in lung cancer patients in a limited number of studies [13,15,16,17,18,19,20,21], and therefore the evidence in lung cancer is scarce. In addition, the AAPR has solely been examined in lung cancer patients of Chinese origin and in studies including restricted sample sizes. Therefore, this study aimed to evaluate the prognostic value of the pretreatment AAPR in a large cohort of Danish lung cancer patients.
2. Results
2.1. Patients
In total, 9074 patients were identified in the DLCR (Figure 1), although 110 patients were excluded as they did not have primary lung cancer (N = 96), had stage 0 disease (N = 10), or had only one day of follow-up (N = 4). Among the remaining 8964 lung cancer patients, serum albumin and/or serum alkaline phosphatase measurements were not available in 1887 patients, and therefore these patients were excluded. Finally, 7077 lung cancer patients were included in this study, of whom 5978 patients had non-small cell lung cancer (NSCLC) and 1099 patients had small cell lung cancer (SCLC).
Patient characteristics for included and excluded patients are shown in Table S1. The 1887 lung cancer patients excluded due to missing serum albumin and/or alkaline phosphatase measurements had a significantly higher median age, lower TNM stage, and higher PS than the 7077 included patients.
2.2. Patient Characteristics and AAPR Level in Patients with NSCLC
The median age of all 5978 patients with NSCLC was 70 years (5–95% percentiles, 52–84 years) (Table 1). The majority of patients were males (52%), had adenocarcinoma (53%), an advanced stage of disease (III + IV, 65%), a good PS (PS 0–1, 66%), and were current or former smokers (74%).
Patients were divided into tertiles according to their AAPR level as follows: low (AAPR < 0.3485), medium (AAPR = 0.3485–0.5067), and high (AAPR > 0.5067). In the high AAPR group, a significantly higher number of women was found than in the low and medium AAPR groups (52% vs. 46% and 46%, p < 0.001). Furthermore, a higher frequency of patients with a high stage of disease was found in the low group as compared with the medium and high groups, respectively (III + IV, 73% vs. 67% and 58%, p < 0.001) and similarly a higher frequency of patients with a poor PS was found in the low group as compared with the medium and high groups (2–4, 32% vs. 21% and 19%, p < 0.001).
2.3. Survival According to AAPR Level in Patients with NSCLC
The median overall survival (OS) of all NSCLC patients was 0.89 years (95% confidence interval (CI), 0.85–0.93 years). On the last follow-up date, 4924 patients (82%) were dead. For the remaining 1054 patients still alive, the median follow-up time was 4.24 years (5–95% percentiles, 2.11–9.97 years)
As seen in Figure 2A, the AAPR was significantly correlated to survival with a decreasing median OS found to be associated with decreasing AAPR level: low AAPR, median OS 0.48 years (95% CI, 0.44–0.52 years); medium AAPR, 1.01 years (95% CI, 0.95–1.09 years); high AAPR, 1.40 years (95% CI, 1.26–1.53 years), p < 0.001. In the univariate analyses, AAPR, sex, histology, stage, age, smoking, and PS were all significantly correlated to OS (Table 2). An adjustment for potential confounders was performed to examine the independent prognostic value of the AAPR. After adjusting for sex, histology, stage, age, smoking, and PS, the AAPR remained an independent predictor of OS, and a clear level-dependent correlation was found with both the medium AAPR group (adjusted HR = 0.73 (95% CI, 0.68–0.79)) and the high AAPR group (adjusted HR = 0.68 (95% CI, 0.62–0.73)) showing increased median OS as compared with the low AAPR group (Table 2).
C-statistics were conducted to investigate if the addition of the AAPR to the existing well-established prognostic markers, stage, histology, age, sex, PS, and smoking, actually improved the prognostic value of NSCLC patients. As seen in Table 3, the prognostic model improved by the addition of the AAPR, and this improvement was statistically significant (p < 0.0001).
2.4. Patient Characteristics and AAPR Level in Patients with SCLC
For patients with SCLC, the median age was 69 years (5–95% percentiles, 52–82 years), and equal distribution of males and females was seen (Table 4). Most of the patients had an advanced stage of disease (III + IV, 85%), a good PS (0–1, 62%), and were current or former smokers (79%).
The cutoffs for the AAPR groups in SCLC patients were the following: low (AAPR < 0.3483), medium (AAPR = 0.3483–0.5067), and high (AAPR > 0.5067) groups. As compared with the medium and the high groups, the low group had a significantly higher frequency of males (59% vs. 47% and 45%, p < 0.001), patients with stage IV disease (70% vs. 53% and 54%, p < 0.001), and a poor PS (2–4, 38% vs. 26% and 26%, p < 0.001).
2.5. Survival According to AAPR in Patients with SCLC
The median OS of all SCLC patients was 0.74 years (95% CI, 0.70–0.79 years). In total, 1016 of the 1099 patients (92%) were dead at the last follow-up date. The median follow-up time of the 83 patients still alive at the last follow-up date was 5.57 years (5–95% percentiles, 2.41–9.79 years).
Similarly, for NSCLC patients, the AAPR was significantly correlated to the median OS in SCLC patients with decreasing survival found to be associated with decreasing AAPR level: low AAPR, median OS 0.46 years (95% CI, 0.36–0.55 years); medium AAPR, median OS 0.85 years (95% CI, 0.79–0.96 years); and high AAPR, median OS 0.93 years (95% CI, 0.80–1.03 years), p < 0.001 (Figure 2B). The univariate analyses showed that AAPR, sex, stage, age, and PS correlated with OS (Table 5). Again, the independent value of AAPR was evaluated by adjusting for the potential confounders sex, stage, age, smoking, and PS, and the AAPR remained an independent predictor of OS with an increased survival seen in the medium (adjusted HR = 0.62 (95% CI, 0.52–0.74)) and the high group (adjusted HR = 0.59 (95% CI, 0.50–0.70)) as compared with the low group (Table 5).
Once more, the C-statistics showed a significantly improved prognostic model with the inclusion of AAPR (p < 0.0001) (Table 3).
3. Discussion
This registry-based study combined data from the Danish Lung Cancer Registry and the clinical laboratory system LABKA and evaluated the new prognostic index of AAPR in a large cohort of lung cancer patients. In 5978 NSCLC patients and 1099 SCLC patients, we found that a low AAPR was independently associated with decreased survival in NSCLC as well as in SCLC patients and that there seemed to be a level-dependent correlation between AAPR level and survival, especially in NSCLC patients. In addition, we showed that the AAPR added additional prognostic value to the already well-established prognostic markers. Hence, the AAPR could improve the stratification of lung cancer patients and refine the identification of patients with poor prognoses demanding a more aggressive treatment. As far as we know, this is the most extensive study to evaluate the AAPR in lung cancer patients and the first of its kind in lung cancer patients of Caucasian ethnicity.
The AAPR was derived in 2015 by Chan et al., who investigated its prognostic value in hepatocellular cancer patients [14]. They found the ratio to hold independent prognostic value for survival and that the AAPR had improved prognostic value as compared with albumin and alkaline phosphatase alone. Studies have followed evaluating the AAPR in several other cancer types [22,23,24]. In 2019, Li et al. [16] were the first to report an association between pretreatment levels of the AAPR and survival in lung cancer patients, as they investigated 290 NSCLC patients with stage IV disease and showed that patients with an AAPR > 0.36 had independently prolonged survival with an estimate comparable with ours (adjusted HR = 0.657 (95% CI, 0.504–0.856)). Later, further studies in NSCLC patients have followed patients with advanced [13,20] and localized stages of the disease [17,19], and all studies have confirmed a significant correlation between high pretreatment AAPR and prolonged survival. However, the AAPR cutoff for defining high and low AAPR has varied significantly in these studies as the optimal cutoff is yet to be defined. Studies have used either a receiver operating characteristic curve [15,18,19] or the “Cut off Finder Software” [16,17] for identifying the optimal cutoff based on the outcome in their patient cohort, resulting in very different cutoffs varying from 0.36 to 0.64. Since applying outcome-associated cutoffs can lead to a tremendous risk of overestimating a potential association, instead, we divided patients by applying tertiles to evaluate if a level-dependent correlation between pretreatment levels of the AAPR level and OS existed. This was in line with Zhou et al. [20], who also applied tertiles for division of AAPR in 808 advanced NSCLC patients, which resulted in cutoffs very similar to ours (low < 0.34, medium 0.34–0.47, and high > 0.47). Furthermore, they found estimates very comparable with us (medium vs. low, HR 0.77 (95% CI 0.58–1.03) and high vs. low, HR 0.59 (95% CI 0.45–0.78)) supporting our finding of a level-dependent correlation.
In SCLC, previous studies have shown more divergent results [15,18,21]. In line with us, Zhou et al. [21] found a decreased OS in patients with a pretreatment AAPR < 0.35 as compared with patients with a pretreatment AAPR > 0.35 (adjusted HR = 1.65 (95% CI 1.11–2.46)) in 224 SCLC patients with extended disease. However, a correlation between pretreatment levels of the AAPR and OS could not be confirmed in a study evaluating 300 SCLC patients with extended disease [15] or in a study of 122 SCLC patients with limited disease [18]. In contrast, these two studies both found that post-treatment AAPR was prognostic for survival.
Altogether, our results confirm the previous finding of an independent prognostic value of pretreatment AAPR in NSCLC as well as SCLC patients. In addition, as all previous studies have been conducted in patients of Chinese origin, our study is the first to demonstrate that this correlation also exists in patients of Caucasian origin.
In patients with low AAPR, a higher frequency of patients was males with a poorer PS and a high stage of disease than patients with a medium or high AAPR. This indicates that patients with low AAPR generally have more advanced disease and that the AAPR could indicate the general disease severity in patients. However, when we adjusted for potential confounders, we observed that the association between low AAPR and inferior survival was independent of other known prognostic factors, demonstrating that low AAPR by itself is an adverse prognostic factor. Moreover, an improved model was reached by adding the AAPR to a prognostic model for survival in NSCLC and SCLC patients. Nonetheless, it is, of course, difficult to define if a low AAPR contributes directly to the inferior survival or if it instead is an indicator of underlying comorbidity.
AAPR is derived from the serum levels of albumin and alkaline phosphatase. In contrast to genetic and immunohistochemically biomarkers, the AAPR is a very simple and inexpensive marker obtained from peripheral blood samples which can easily be continuously monitored. Albumin is a protein synthesized in the liver and secreted into the blood, where it is the most abundant protein [4]. Its serum level has primarily been used as a simple way to assess a patient’s nutritional status and liver synthesis ability. Nevertheless, albumin is also known to be a negative acute-phase protein, as its synthesis is suppressed by systemic inflammation [25]. Accordingly, the serum albumin level can reflect several underlying conditions. Alkaline phosphatase is a hydrolase enzyme expressed in tissues throughout the body but with predominantly high levels in the liver, bile duct, and kidneys [10]. Hence, serum alkaline phosphatase is primarily affected by conditions related to the liver, bone, and kidneys, and in cancer patients, serum alkaline phosphatase is often used to screen for bone and liver metastasis. Decreased serum albumin levels and elevated alkaline phosphatase levels alone have previously been found to comprise negative prognostic value in lung cancer [26,27,28]. However, the combination of the two markers in the AAPR seems to hold improved prognostic value as compared with the markers alone [13,14], which may be explained by APPR’s reflection of the unfavorable effects of both markers, and thereby the identification of additional patients with poor prognosis.
Our study has several strengths. To the best of our knowledge, we have, by far, included the largest sample size in lung cancer. The enormous size of our cohort as compared with the previous studies, which included a maximum of 808 NSCLC patients and 300 SCLC patients, highlights the strength of our data as compared with former studies. The high completeness of the Danish registries and the possibility to link data from different registries at an individual level allows the inclusion of all patients diagnosed in a well-defined geographical area. This eliminates potential selection bias and increases the applicability of our data. Yet, despite the strengths of our study, there are some limitations to consider. Firstly, we could not exclude patients with known liver, kidney, or bone disease as these data were unavailable, and we were unable to determine if comorbidities affecting these organs could influence our data. Moreover, we did not have data on patients’ nutritional statuses and could not adjust for this in our analyses. Furthermore, no data on genetic driver mutations such as the epidermal growth factor receptor (EGFR) and the echinoderm microtubule-associated protein-like-anaplastic lymphoma kinase (EMLA-ALK) were available in NSCLC patients, and therefore we were unable to evaluate if the mutation-positive patients were evenly distributed between the three AAPR groups. Otherwise, this could have influenced the survival of the groups. Additionally, we did not have a validation cohort available to confirm our findings, and our data must be validated in an independent cohort in a future study. Lastly, we observed that the excluded patients had higher median age, lower TNM stage, and higher PS than the included patients. Hence, we cannot exclude a potential selection bias due to this difference.
4. Materials and Methods
4.1. Patients
The cohort has previously been described [29]. In brief, lung cancer patients were identified in the Danish Lung Cancer Registry (DLCR), covering more than 90% of all lung cancer patients diagnosed in Denmark [30]. Patients were included if they were registered in DLCR between 1 January 2009 and 26 June 2018 and, simultaneously, were registered in The Central Denmark Region (region covering 1,327,410 inhabitants equivalent to 23% of the Danish population [31]). The following data were retrieved from the DLCR on each patient at the time of diagnosis: sex, age, Eastern Cooperative Oncology Group (ECOG) PS, TNM stage, and smoking status. Information on tumor characteristics was provided from The national Danish Pathology Data Bank [32]. Serum albumin and serum alkaline phosphatase levels were retrieved from the clinical laboratory information system [33], which contains blood samples from hospitalized patients and patients from primary care submitted for analyses in The Central Denmark Region. Mortality data were retrieved from the Danish Civil Registration System [34]. Information on each patient was combined using the CPR number, a unique ten-digit number given to all inhabitants in Denmark at birth and residents upon immigration.
The diagnostic work-up and staging of lung cancer patients were performed according to the international guideline at the current time.
4.2. The Albumin-to-Alkaline Phosphatase Ratio
Pretreatment serum albumin and serum alkaline phosphatase levels were extracted on each patient from the clinical laboratory information system (LABKA). Only measurements performed up to 90 days before the lung cancer diagnosis were retrieved. If more than one measurement were available in the 90 days, the closest measurement to the diagnosis was extracted. Patients with missing data on any of the two measurements were excluded. The AAPR was calculated by dividing the serum albumin level by the serum alkaline phosphatase level. As the optimal cutoff point for AAPR is undetermined, the AAPR was evaluated by dividing into tertiles.
4.3. Ethics
The study was approved by the Danish Patient Safety Authority (no. 31-1521-400) and the Danish Data Protection Agency (no. 1-16-02-909-17). According to Danish legislation, register-based studies do not need approval by the regional committee on health-research ethics.
4.4. Statistical Analyses
Patient characteristics are given as either numbers and percentages or as median values with 5% and 95% percentiles. The Chi-square test or the rank-sum test were used to evaluate differences in patient characteristics.
Follow-up time and OS were defined as the time from diagnosis until the death due to any cause or the last follow-up date (1 July 2020). Patients still alive on the last day of follow-up were censored. If patients had an OS of merely one day, they were excluded. Since the last patients were included in the study in June 2018, all patients were followed for a minimum of two years. OS was the primary endpoint. Median OS was estimated by the Kaplan-Meier method and compared by the log-rank test. Crude and adjusted hazard ratios (HR) were calculated by the Cox proportional hazards model. Confounders were analyzed as categorical variables, except for age which was analyzed as a continuous variable.
To calculate whether the inclusion of the AAPR to the well-established prognostic markers (TNM stage, histology, age, sex, PS, and smoking) added additional prognostic value, C-statistics, in terms of Akaike’s information criteria (AIC) and Harrell’s concordance index (C-index), were calculated on models including and excluding the AAPR. For AIC, the model with the minimum AIC had the most precise prediction of OS, and only a difference of 2 or more (arbitrary values) was considered an actual difference. For the C-index, values ranged between 0.5 and 1.0, and a value of 1.0 was defined as the perfect fit. Likelihood-ratio tests were used to evaluate whether the added value was significant. All p-values were two-sided. All statistical analyses were performed with the Stata software version 15.1 (Stata Corporation, College Station, TX, USA).
5. Conclusions
In conclusion, we showed that the AAPR was an independent prognostic factor in NSCLC and SCLC patients. The correlation seems to be level dependent, as decreasing survival was associated with decreasing AAPR level, especially in NSCLC patients. Furthermore, the AAPR seems to add extra prognostic value to the already well-established prognostic factors and could improve the stratification of lung cancer patients leading to a more differentiated treatment strategy. Therefore, if our findings are validated in the future, the AAPR should be incorporated as a factor in the general prognostication of lung cancer patients.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/cancers13236133/s1, Table S1: Patient characteristics of included and excluded patients.
Author Contributions
Conceptualization, B.S.-P., N.A.-P. and A.W.-L.; methodology, B.S.-P., N.A.-P. and A.W.-L.; validation, B.S.-P., N.A.-P. and A.W.-L.; formal analysis, N.A.-P.; investigation, B.S.-P., N.A.-P. and A.W.-L.; resources, B.S.-P. and A.W.-L.; data curation, N.A.-P.; writing—original draft preparation, A.W.-L.; writing—review and editing, A.W.-L., B.S.-P. and N.A.-P.; visualization, N.A.-P. and A.W.-L.; supervision, A.W.-L.; project administration, A.W.-L.; funding acquisition, A.W.-L. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the Dagmar Marshall Fund (grant number 500020, 2019) and the Einar Willumsens mindelegat (grant number 500028, 2019).
Institutional Review Board Statement
The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Danish Patient Safety Authority (no. 31-1521-400) and the Danish Data Protection Agency (no. 1-16-02-909-17). This study was register-based, and therefore did not include any human biological material. Therefore, according to Danish legislation, ethical review and approval were waived for this study.
Informed Consent Statement
Patient consent was waived as this is not required in register-based studies according to Danish legislation.
Data Availability Statement
In this study, publicly archived datasets were achieved from the Danish Lung Cancer Registry (DLCR) (www.lungecancer.dk) (accessed on 6 September2018), The Pathology Data Bank (www.pato-bank.dk) (accessed on 29 May 2018), the clinical laboratory information system (LABKA) (www.auh.dk/om-auh/afdelinger/blodprover-og-biokemi) (accessed on 24 February 2020), and the Danish Civil Registration System (www.sundhedsdatastyrelsen.dk) (accessed on 24 February 2020).
Conflicts of Interest
The authors declare no conflict of interest.
References
- Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [Green Version]
- Goldstraw, P.; Chansky, K.; Crowley, J.; Rami-Porta, R.; Asamura, H.; Eberhardt, W.E.; Nicholson, A.G.; Groome, P.; Mitchell, A.; Bolejack, V.; et al. The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classification for Lung Cancer. J. Thorac. Oncol. 2016, 11, 39–51. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Oken, M.M.; Creech, R.H.; Tormey, D.C.; Horton, J.; Davis, T.E.; McFadden, E.T.; Carbone, P.P. Toxicity and response criteria of the Eastern Cooperative Oncology Group. Am. J. Clin. Oncol. 1982, 5, 649–655. [Google Scholar] [CrossRef]
- Fanali, G.; di Masi, A.; Trezza, V.; Marino, M.; Fasano, M.; Ascenzi, P. Human serum albumin: From bench to bedside. Mol. Asp. Med. 2012, 33, 209–290. [Google Scholar] [CrossRef] [PubMed]
- Don, B.R.; Kaysen, G. Serum albumin: Relationship to inflammation and nutrition. Semin. Dial. 2004, 17, 432–437. [Google Scholar] [CrossRef]
- Soeters, P.B.; Wolfe, R.R.; Shenkin, A. Hypoalbuminemia: Pathogenesis and Clinical Significance. J. Parenter. Enter. Nutr. 2019, 43, 181–193. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Gupta, D.; Lis, C.G. Pretreatment serum albumin as a predictor of cancer survival: A systematic review of the epidemiological literature. Nutr. J. 2010, 9, 69. [Google Scholar] [CrossRef] [Green Version]
- Hung, H.A.-O.; Chen, J.S.; Chien, Y.; Tang, R.; Hsieh, P.S.; Wen, S.; You, Y.T.; You, J.F.; Chiang, J.M. Preoperative alkaline phosphatase elevation was associated with poor survival in colorectal cancer patients. Int. J. Colorectal Dis. 2017, 32, 1775–1778. [Google Scholar] [CrossRef] [PubMed]
- Xiao, Y.; Lu, J.; Chang, W.; Chen, Y.; Li, X.; Li, D.; Xu, C.A.-O.; Yang, H.; Hung, H.A.-O.; Chen, J.S.; et al. Dynamic serum alkaline phosphatase is an indicator of overall survival in pancreatic cancer. BMC Cancer 2019, 19, 785. [Google Scholar] [CrossRef] [PubMed]
- Siller, A.F.; Whyte, M.P.; Soeters, P.B.; Wolfe, R.R.; Shenkin, A. Alkaline Phosphatase: Discovery and Naming of Our Favorite Enzyme. J. Bone Miner. Res. 2018, 33, 362–364. [Google Scholar] [CrossRef] [Green Version]
- An, L.; Yin, W.T.; Sun, D.A.-O. Albumin-to-alkaline phosphatase ratio as a promising indicator of prognosis in human cancers: Is it possible? BMC Cancer 2021, 21, 247. [Google Scholar] [CrossRef] [PubMed]
- Tian, G.; Li, G.; Guan, L.; Yang, Y.; Li, N.; An, L.; Yin, W.T.; Sun, D.A.-O. Pretreatment albumin-to-alkaline phosphatase ratio as a prognostic indicator in solid cancers: A meta-analysis with trial sequential analysis. Int. J. Surg. 2020, 81, 66–73. [Google Scholar] [CrossRef] [PubMed]
- Liu, X.; Li, Y.; Zhao, Q.; Jiang, H.; Ni, J.; Cai, H. Albumin-to-alkaline phosphatase ratio: A novel prognostic index for patients with driver mutation-negative advanced non-small cell lung cancer. Clin. Respir. J. 2021, 15, 540–549. [Google Scholar] [CrossRef] [PubMed]
- Chan, A.W.; Chan, S.A.-O.; Mo, F.K.; Wong, G.L.; Wong, V.W.; Cheung, Y.S.; Chan, H.L.; Yeo, W.; Lai, P.B.; To, K.F. Albumin-to-alkaline phosphatase ratio: A novel prognostic index for hepatocellular carcinoma. Dis. Markers 2015, 2015, 564057. [Google Scholar] [CrossRef]
- Li, B.; Jiang, C.; Wang, R.; Zou, B.; Xie, P.; Li, W.; Sun, X.; Yu, J.; Wang, L. Prognostic Value of a Nomogram Based on the Dynamic Albumin-to-Alkaline Phosphatase Ratio for Patients with Extensive-Stage Small-Cell Lung Cancer. Onco Targets Ther. 2020, 13, 9043–9057. [Google Scholar] [CrossRef] [PubMed]
- Li, D.; Yu, H.; Li, W. Albumin-to-alkaline phosphatase ratio at diagnosis predicts survival in patients with metastatic non-small-cell lung cancer. Onco Targets Ther. 2019, 12, 5241–5249. [Google Scholar] [CrossRef] [Green Version]
- Li, S.J.; Lv, W.Y.; Du, H.; Li, Y.J.; Zhang, W.B.; Che, G.W.; Liu, L.X. Albumin-to-alkaline phosphatase ratio as a novel prognostic indicator for patients undergoing minimally invasive lung cancer surgery: Propensity score matching analysis using a prospective database. Int. J. Surg. 2019, 69, 32–42. [Google Scholar] [CrossRef]
- Li, X.; Li, B.; Zeng, H.; Wang, S.; Sun, X.; Yu, Y.; Wang, L.; Yu, J. Prognostic value of dynamic albumin-to-alkaline phosphatase ratio in limited stage small-cell lung cancer. Future Oncol. 2019, 15, 995–1006. [Google Scholar] [CrossRef]
- Zhang, L.; Zhang, H.; Yue, D.; Wei, W.; Chen, Y.; Zhao, X.; Zhu, J.; Zhang, B.; Zhang, Z.; Wang, C. The prognostic value of the preoperative albumin to alkaline phosphatase ratio in patients with non-small cell lung cancer after surgery. Thorac. Cancer 2019, 10, 1581–1589. [Google Scholar] [CrossRef] [Green Version]
- Zhou, S.; Jiang, W.; Wang, H.; Wei, N.; Yu, Q. Predictive value of pretreatment albumin-to-alkaline phosphatase ratio for overall survival for patients with advanced non-small cell lung cancer. Cancer Med. 2020, 9, 6268–6280. [Google Scholar] [CrossRef]
- Zhou, S.A.-O.; Wang, H.; Jiang, W.; Yu, Q.; Zeng, A. Prognostic Value of Pretreatment Albumin-to-Alkaline Phosphatase Ratio in Extensive-Disease Small-Cell Lung Cancer: A Retrospective Cohort Study. Cancer Manag. Res. 2020, 12, 2015–2024. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Kim, J.S.; Keam, B.; Heo, D.S.; Han, D.H.; Rhee, C.S.; Kim, J.H.; Jung, K.C.; Wu, H.G. The Prognostic Value of Albumin-to-Alkaline Phosphatase Ratio before Radical Radiotherapy in Patients with Non-metastatic Nasopharyngeal Carcinoma: A Propensity Score Matching Analysis. Cancer Res. Treat. 2019, 51, 1313–1323. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Tan, P.; Xie, N.; Ai, J.; Xu, H.; Xu, H.; Liu, L.; Yang, L.; Wei, Q. The prognostic significance of Albumin-to-Alkaline Phosphatase Ratio in upper tract urothelial carcinoma. Sci. Rep. 2018, 8, 12311. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Xia, A.; Chen, Y.; Chen, J.; Pan, Y.; Bao, L.; Gao, X. Prognostic value of the albumin-to-alkaline phosphatase ratio on urologic outcomes in patients with non-metastatic renal cell carcinoma following curative nephrectomy. J. Cancer 2019, 10, 5494–5503. [Google Scholar] [CrossRef]
- Kim, S.; McClave, S.A.; Martindale, R.G.; Miller, K.R.; Hurt, R.T. Hypoalbuminemia and Clinical Outcomes: What is the Mechanism behind the Relationship? Am. Surg. 2017, 83, 1220–1227. [Google Scholar] [CrossRef]
- Miura, K.; Hamanaka, K.; Koizumi, T.; Kitaguchi, Y.; Terada, Y.; Nakamura, D.; Kumeda, H.; Agatsuma, H.; Hyogotani, A.; Kawakami, S.; et al. Clinical significance of preoperative serum albumin level for prognosis in surgically resected patients with non-small cell lung cancer: Comparative study of normal lung, emphysema, and pulmonary fibrosis. Lung Cancer 2017, 111, 88–95. [Google Scholar] [CrossRef]
- Zhang, L.; Gong, Z. Clinical Characteristics and Prognostic Factors in Bone Metastases from Lung Cancer. Med. Sci. Monit. 2017, 23, 4087–4094. [Google Scholar] [CrossRef] [Green Version]
- Tanriverdi, O.; Avci, N.; Oktay, E.; Kalemci, S.; Pilanci, K.N.; Cokmert, S.; Menekse, S.; Kocar, M.; Sen, C.A.; Akman, T.; et al. Pretreatment Serum Albumin Level is an Independent Prognostic Factor in Patients with Stage IIIB Non-Small Cell Lung Cancer: A Study of the Turkish Descriptive Oncological Researches Group. Asian Pac. J. Cancer Prev. 2015, 16, 5971–5976. [Google Scholar] [CrossRef] [Green Version]
- Sandfeld-Paulsen, B.; Aggerholm-Pedersen, N.; Winther-Larsen, A. Hyponatremia in lung cancer: Incidence and prognostic value in a Danish population-based cohort study. Lung Cancer 2021, 153, 42–48. [Google Scholar] [CrossRef]
- Jakobsen, E.; Rasmussen, T.R. The Danish Lung Cancer Registry. Clin. Epidemiol. 2016, 8, 537–541. [Google Scholar] [CrossRef] [Green Version]
- Statistics Denmark. Available online: www.dst.dk/en (accessed on 11 August 2020).
- Patobank. 2021. Available online: www.patobank.dk (accessed on 29 May 2018).
- Arendt, J.F.H.; Hansen, A.T.; Ladefoged, S.A.; Sørensen, H.T.; Pedersen, L.; Adelborg, K. Existing Data Sources in Clinical Epidemiology: Laboratory Information System Databases in Denmark. Clin. Epidemiol. 2020, 12, 469–475. [Google Scholar] [CrossRef] [PubMed]
- Schmidt, M.; Pedersen, L.; Sørensen, H.T. The Danish Civil Registration System as a tool in epidemiology. Eur. J. Epidemiol. 2014, 29, 541–549. [Google Scholar] [CrossRef] [PubMed]
Figure 1.
Flow chart of inclusion and exclusion of patients. Abbreviations: DLCR, Danish Lung Cancer Group; TNM, tumor node metastasis; LABKA, clinical laboratory information system; NSCLC, non-small cell lung cancer; SCLC, small cell lung cancer.
Figure 1.
Flow chart of inclusion and exclusion of patients. Abbreviations: DLCR, Danish Lung Cancer Group; TNM, tumor node metastasis; LABKA, clinical laboratory information system; NSCLC, non-small cell lung cancer; SCLC, small cell lung cancer.
Figure 2.
Kaplan-Meier curves of overall survival (OS) according to pretreatment AAPR level for patients with non-small cell lung cancer and small cell lung cancer: (A) OS according to AAPR level in non-small cell lung cancer. Patients were divided by applying tertiles (low AAPR < 0.3485, medium AAPR 0.3485–0.5067, and high AAPR > 0.5067); (B) OS according to AAPR level in small cell lung cancer. Patients were divided into tertiles (low AAPR < 0.3483, medium AAPR 0.3483–0.5067, and high AAPR > 0.5067). The log-rank test estimated differences between groups. AAPR, albumin-to-alkaline phosphatase ratio; CI, confidence interval.
Figure 2.
Kaplan-Meier curves of overall survival (OS) according to pretreatment AAPR level for patients with non-small cell lung cancer and small cell lung cancer: (A) OS according to AAPR level in non-small cell lung cancer. Patients were divided by applying tertiles (low AAPR < 0.3485, medium AAPR 0.3485–0.5067, and high AAPR > 0.5067); (B) OS according to AAPR level in small cell lung cancer. Patients were divided into tertiles (low AAPR < 0.3483, medium AAPR 0.3483–0.5067, and high AAPR > 0.5067). The log-rank test estimated differences between groups. AAPR, albumin-to-alkaline phosphatase ratio; CI, confidence interval.
Table 1.
Patient characteristics in non-small cell lung cancer patients stratified by albumin-to-alkaline phosphatase ratio at time of diagnosis (N = 5978).
Table 1.
Patient characteristics in non-small cell lung cancer patients stratified by albumin-to-alkaline phosphatase ratio at time of diagnosis (N = 5978).
| Characteristics | All Patients | Low AAPR a | Medium AAPR a | High AAPR a | p-Value b |
|---|---|---|---|---|---|
| N (%) | N (%) | N (%) | N (%) | ||
| Total number of patients | 5978 | 2027 | 2001 | 1950 | |
| Age, years | 0.263 | ||||
| Median age (5–95% percentiles) | 70 (52–84) | 70 (52–84) | 70 (52–84) | 70 (52–84) | |
| Sex | <0.001 | ||||
| Female | 2874 (48) | 931 (46) | 924 (46) | 1019 (52) | |
| Male | 3104 (52) | 1096 (54) | 1077 (54) | 931 (48) | |
| Histology | 0.005 | ||||
| Adenocarcinoma | 3197 (53) | 1064 (52) | 1055 (53) | 1078 (55) | |
| Squamous cell | 1424 (24) | 472 (23) | 528 (26) | 424 (22) | |
| Other | 1067 (18) | 395 (19) | 318 (16) | 354 (18) | |
| Unknown | 290 (5) | 96 (5) | 100 (5) | 94 (5) | |
| Stage | <0.001 | ||||
| I | 1067 (18) | 226 (11) | 351 (18) | 490 (25) | |
| II | 512 (9) | 160 (8) | 171 (9) | 181 (9) | |
| III | 1165 (19) | 341 (17) | 443 (22) | 381 (20) | |
| IV | 2775 (46) | 1136 (56) | 901 (45) | 738 (38) | |
| Unknown | 459 (8) | 164 (8) | 135 (7) | 160 (8) | |
| Performance status, ECOG | <0.001 | ||||
| 0 | 2013 (34) | 522 (26) | 755 (38) | 736 (38) | |
| 1 | 1906 (32) | 632 (31) | 639 (32) | 635 (33) | |
| 2 | 732 (12) | 297 (15) | 232 (12) | 203 (10) | |
| 3 + 4 | 704 (12) | 351 (17) | 182 (9) | 171 (9) | |
| Unknown | 623 (10) | 225 (11) | 193 (9) | 205 (11) | |
| Smoking status | 0.775 | ||||
| Never | 281 (5) | 91 (4) | 92 (5) | 98 (5) | |
| Current or former | 4437 (74) | 1456 (72) | 1521 (76) | 1460 (75) | |
| Unknown | 1260 (21) | 480 (24) | 388 (19) | 392 (20) |
AAPR, albumin-to-alkaline phosphatase ratio; ECOG, Eastern Cooperative Oncology Group; N, number; a AAPR divided by tertiles into low (AAPR < 0.3485), medium (AAPR 0.3485–0.5067), and high (AAPR > 0.5067) groups; b p-value calculated by the Chi-square test or the rank-sum test.
Table 2.
Univariate and multivariate analyses of overall survival in non-small cell lung cancer patients (N = 5979).
Table 2.
Univariate and multivariate analyses of overall survival in non-small cell lung cancer patients (N = 5979).
| Characteristics | HR | Adjusted HR |
|---|---|---|
| (95% CI) | (95% CI) | |
| AAPR | ||
| Low | 1 | 1 |
| Medium | 0.63 (0.59–0.68) | 0.73 (0.68–0.79) |
| High | 0.53 (0.50–0.57) | 0.68 (0.62–0.73) |
| Sex | ||
| Female | 1 | 1 |
| Male | 1.18 (1.13–1.26) | 1.20 (1.12–1.28) |
| Histology | ||
| Adenocarcinoma | 1 | 1 |
| Squamous cell | 1.49 (1.37–1.63) | 1.20 (1.09–1.34) |
| Other | 1.04 (0.97–1.11) | 0.93 (0.86–1.01) |
| Stage | ||
| I | 1 | 1 |
| II | 1.39 (1.21–1.659) | 1.31 (1.13–1.53) |
| III | 2.86 (2.57–3.18) | 2.96 (2.63–3.32) |
| IV | 5.86 (5.32–6.44) | 5.95 (5.34–6.62) |
| Age | 1.02 (1.02–1.02) | 1.02 (1.01–1.02) |
| Smoking | ||
| Never | 1 | 1 |
| Current or former | 1.31 (1.14–1.51) | 1.52 (1.32–1.75) |
| Performance status, ECOG | ||
| 0 | 1 | 1 |
| 1 | 1.71 (1.60–1.84) | 1.42 (1.32–1.53) |
| 2 | 2.67 (2.44–2.93) | 2.14 (1.94–2.36) |
| 3 | 4.44 (4.04–4.87) | 3.79 (3.39–4.23) |
AAPR, albumin-to-alkaline phosphatase ratio; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio.
Table 3.
Predictive accuracies of the prognostic models.
| Model NSCLC | AIC a | C-Index b |
|---|---|---|
| AAPR + stage + histology + age + sex + PS + smoking | 57746 | 0.7545 |
| Stage + histology +age + sex + PS + smoking | 57877 | 0.7480 |
| Model SCLC | ||
| AAPR + stage + age + sex + PS + smoking | 9063 | 0.7301 |
| Stage + age + sex + PS + smoking | 9097 | 0.7227 |
AAPR, albumin-to-alkaline phosphatase ratio; AIC, Akaike’s information criterion; NSCLC, non-small cell lung cancer; PS, performance status; SCLC, small cell lung cancer; a, AIC assesses each model’s quality relative to the other model, and the model showing the minimum AIC is the model with the most optimal fit of data. The values obtained are arbitrary; b, Harrell’s concordance index, C-index provides an estimate of goodness of fit for the model, and 1.0 is the perfect fit. Values vary between 0.5–1.0.
Table 4.
Patient characteristics in small cell lung cancer patients stratified by albumin-to-alkaline phosphatase ratio at time of diagnosis (N = 1099).
Table 4.
Patient characteristics in small cell lung cancer patients stratified by albumin-to-alkaline phosphatase ratio at time of diagnosis (N = 1099).
| Characteristics | All Patients | Low AAPR a | Medium AAPR a | High AAPR a | p-Value b |
|---|---|---|---|---|---|
| N (%) | N (%) | N (%) | N (%) | ||
| Total number of patients | 1099 | 332 | 358 | 409 | |
| Age, years | 0.568 | ||||
| Median age (5–95% percentiles) | 69 (52–82) | 69 (51–83) | 69 (52–82) | 70 (53–83) | |
| Sex | <0.001 | ||||
| Female | 551 (50) | 137 (41) | 189(53) | 225 (55) | |
| Male | 548 (50) | 195 (59) | 169 (47) | 184 (45) | |
| Stage | <0.001 | ||||
| I | 51 (5) | 10 (3) | 22 (6) | 19 (5) | |
| II | 28 (2) | 2 (1) | 10 (3) | 16 (4) | |
| III | 294 (27) | 53 (16) | 113 (31) | 128 (31) | |
| IV | 644 (58) | 231 (70) | 190 (53) | 223 (54) | |
| Unknown | 82 (8) | 36 (11) | 23 (6) | 23 (6) | |
| Performance status, ECOG | <0.001 | ||||
| 0 | 296 (27) | 67 (20) | 108 (30) | 121 (29) | |
| 1 | 381 (35) | 96 (29) | 134 (38) | 151 (37) | |
| 2 | 176 (16) | 64 (19) | 52 (15) | 60 (15) | |
| 3 + 4 | 148 (13) | 63 (19) | 39 (11) | 46 (11) | |
| Unknown | 98 (9) | 42 (13) | 25 (6) | 31 (8) | |
| Smoking status | 0.106 | ||||
| Never | 9 (1) | 0 (0) | 3 (1) | 6 (1) | |
| Current or former | 861 (79) | 247 (74) | 287 (81) | 327 (80) | |
| Unknown | 229 (20) | 85 (26) | 66 (18) | 78 (19) |
AAPR, albumin-to-alkaline phosphatase ratio; ECOG, Eastern Cooperative Oncology Group; N, number; a, AAPR was divided by tertiles into low (AAPR < 0.3483), medium (AAPR 0.3483–0.5067), and high (AAPR > 0.5067) groups; b, p-value calculated by the Chi-square test or the rank-sum test.
Table 5.
Univariate and multivariate analyses of overall survival in SCLC patients (N = 1099).
| Characteristics | HR | Adjusted HR |
|---|---|---|
| (95% CI) | (95% CI) | |
| AAPR | ||
| Low | 1 | 1 |
| Medium | 0.54 (0.46–0.63) | 0.62 (0.52–0.74) |
| High | 0.54 (0.47–0.63) | 0.59 (0.50–0.70) |
| Sex | ||
| Female | 1 | 1 |
| Male | 1.12 (1.00–1.27) | 1.13 (0.98–1.30) |
| Stage | ||
| I | 1 | 1 |
| II | 1.05 (0.55–2.00) | 1.11 (0.55–2.24) |
| III | 3.09 (2.07–4.60) | 3.33 (2.15–5.16) |
| IV | 6.47 (4.37–9.59) | 6.65 (4.31–10.27) |
| Age | 1.04 (1.03–1.04) | 1.02 (1.01–1.03) |
| Smoking | ||
| Never | 1 | 1 |
| Current or former | 0.90 (0.47–1.74) | 0.68 (0.35–1.32) |
| Performance status, ECOG | ||
| 0 | 1 | 1 |
| 1 | 1.51 (1.29–1.78) | 1.28 (1.07–1.53) |
| 2 | 2.88 (2.37–3.51) | 2.29 (1.83–2.85) |
| 3 | 4.15 (3.37–5.11) | 4.33 (3.39–5.54) |
AAPR, albumin-to-alkaline phosphatase ratio; CI, confidence interval; ECOG, Eastern Cooperative Oncology Group; HR, hazard ratio; SCLC, small cell lung cancer.
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Sandfeld-Paulsen, B.; Aggerholm-Pedersen, N.; Winther-Larsen, A. Pretreatment Albumin-to-Alkaline Phosphatase Ratio Is a Prognostic Marker in Lung Cancer Patients: A Registry-Based Study of 7077 Lung Cancer Patients. Cancers 2021, 13, 6133. https://doi.org/10.3390/cancers13236133
AMA Style
Sandfeld-Paulsen B, Aggerholm-Pedersen N, Winther-Larsen A. Pretreatment Albumin-to-Alkaline Phosphatase Ratio Is a Prognostic Marker in Lung Cancer Patients: A Registry-Based Study of 7077 Lung Cancer Patients. Cancers. 2021; 13(23):6133. https://doi.org/10.3390/cancers13236133
Chicago/Turabian StyleSandfeld-Paulsen, Birgitte, Ninna Aggerholm-Pedersen, and Anne Winther-Larsen. 2021. "Pretreatment Albumin-to-Alkaline Phosphatase Ratio Is a Prognostic Marker in Lung Cancer Patients: A Registry-Based Study of 7077 Lung Cancer Patients" Cancers 13, no. 23: 6133. https://doi.org/10.3390/cancers13236133
APA StyleSandfeld-Paulsen, B., Aggerholm-Pedersen, N., & Winther-Larsen, A. (2021). Pretreatment Albumin-to-Alkaline Phosphatase Ratio Is a Prognostic Marker in Lung Cancer Patients: A Registry-Based Study of 7077 Lung Cancer Patients. Cancers, 13(23), 6133. https://doi.org/10.3390/cancers13236133
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