The Prognostic Value of Albumin-to-Alkaline Phosphatase Ratio before Radical Radiotherapy in Patients with Non-metastatic Nasopharyngeal Carcinoma: A Propensity Score Matching Analysis

The Influence of the Preoperative Albumin to Alkaline Phosphatase Ratio on Overall Survival in Post-Radical Surgery for Colorectal Cancer and the Construction of a Nomogram Prediction Model

PURPOSE

The albumin to alkaline phosphatase ratio (AAPR) is a newly developed blood biomarker that has been reported to have prognostic value in several types of cancers. The aim of this study was to investigate the predictive value of AAPR in overall survival after radical colon cancer surgery in patients with stage I-III colorectal cancer (CRC).

METHODS

The clinical data of 221 eligible patients with stage I ∼ III CRC were retrospectively analyzed. A series of survival analyses were performed to assess the prognostic value of AAPR. Univariate and multifactorial Cox analyses were performed to identify independent risk factors. Columnar graph prediction models were further constructed based on independent risk factors such as AAPR, and their predictive properties were validated.

RESULTS

The optimal cutoff value of preoperative AAPR for postoperative overall survival (OS) in patients undergoing laparoscopic radical CRC was .495 as shown by univariate and multifactorial Cox regression analysis. The factors of age ≤65 years, Tumor-Node-Metastasis (TNM) stage I-II, tumor grading (high/medium differentiation), CEA ≤5, and AAPR ≥.495 were associated with better OS (P < .05).

CONCLUSIONS

Preoperative AAPR level was a good predictor of postoperative survival in patients undergoing laparoscopic radical CRC surgery, and AAPR <.495 was an independent risk factor for decreased postoperative OS.

Construction and validation of a prognostic nutritional index-based nomogram for predicting pathological complete response in breast cancer: a two-center study of 1,170 patients

Background

Pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) is associated with favorable outcomes in breast cancer patients. Identifying reliable predictors for pCR can assist in selecting patients who will derive the most benefit from NAC. The prognostic nutritional index (PNI) serves as an indicator of nutritional status and systemic immune competence. It has emerged as a prognostic biomarker in several malignancies; however, its predictive value for pCR in breast cancer remains uncertain. The objective of this study is to assess the predictive value of pretreatment PNI for pCR in breast cancer patients.

Methods

A total of 1170 patients who received NAC in two centers were retrospectively analyzed. The patients were divided into three cohorts: a training cohort (n=545), an internal validation cohort (n=233), and an external validation cohort (n=392). Univariate and multivariate analyses were performed to assess the predictive value of PNI and other clinicopathological factors. A stepwise logistic regression model for pCR based on the smallest Akaike information criterion was utilized to develop a nomogram. The C-index, calibration plots and decision curve analysis (DCA) were used to evaluate the discrimination, calibration and clinical value of the model.

Results

Patients with a high PNI (≥53) had a significantly increased pCR rate (OR 2.217, 95% CI 1.215-4.043, p=0.009). Tumor size, clinical nodal status, histological grade, ER, Ki67 and PNI were identified as independent predictors and included in the final model. A nomogram was developed as a graphical representation of the model, which incorporated the PNI and five other factors (AIC=356.13). The nomogram demonstrated satisfactory calibration and discrimination in the training cohort (C-index: 0.816, 95% CI 0.765-0.866), the internal validation cohort (C-index: 0.780, 95% CI 0.697-0.864) and external validation cohort (C-index: 0.714, 95% CI 0.660-0.769). Furthermore, DCA indicated a clinical net benefit from the nomogram.

Conclusion

The pretreatment PNI is a reliable predictor for pCR in breast cancer patients. The PNI-based nomogram is a low-cost, noninvasive tool with favorable predictive accuracy for pCR, which can assist in determining individualized treatment strategies for breast cancer patients.

Low albumin-to-alkaline phosphatase ratio is associated with inferior prognosis in patients with head and neck cancer underwent concurrent chemoradiation: A propensity score-matched analysis

Background

Low albumin-to-alkaline phosphatase ratio (AAPR) is associated with tumor progression and poor survival outcome in some malignancies.

Purpose

We aimed to determine the prognostic value of AAPR in head and neck cancer (HNC) patients underwent concurrent chemoradiotherapy (CCRT).

Materials and Methods

We retrospectively reviewed medical records of 342 patients with HNC treated with definitive or adjuvant CCRT from 2007 to 2017. Receiver-operator characteristic curve assessed the cut-off value and predictive accuracy of AAPR for disease progression. Propensity score-matched (PSM) method was performed to balance baseline characteristics. Multivariate Cox regression analyses screened the independent prognostic factors for progression-free survival (PFS) and overall survival (OS).

Results

The median follow-up duration was 40 months. The optimal cut-off level of AAPR was 0.523. In the PSM cohort, an AAPR < 0.523 was related to worse PFS and OS (PFS: Hazard ratio [HR], 1.936; 95% confidence interval [CI], 1.212 to 3.249; P = 0.001 and OS: HR, 1.832; 95% CI, 1.117 to 3.478; P = 0.02) compared with those with an AAPR ≥ 0.523. AJCC stage IVA-B also showed poor survival outcome compared with patients with AJCC stage II--III (PFS: HR, 1.855; 95% CI, 1.173 to 2.933; P = 0.008 and OS: HR, 1.905; 95% CI, 1.131 to 3.211; P = 0.015).

Conclusions

HNC patients with low AAPR independently have worse survival outcomes than do high AAPR patients. These findings might help physicians predict treatment outcome and guide treatment strategy in patients with HNC underwent CCRT.

Feasibility and safety of neck level IB-sparing radiotherapy in nasopharyngeal cancer: a long-term single institution analysis

PURPOSE

Nasopharyngeal cancer (NPC) has a higher prevalence of regional nodal metastasis than other head and neck cancers; however, level IB lymph node involvement is rare. We evaluated the safety and feasibility of level IB-sparing radiotherapy (RT) for NPC patients.

MATERIALS AND METHODS

We retrospectively reviewed 236 patients with NPC who underwent definitive intensity-modulated RT with or without chemotherapy between 2004 and 2018. Of them, 212 received IB-sparing RT, and 24 received non-IB-sparing RT. We conducted a propensity score matching analysis to compare treatment outcomes according to IB-sparing status. In addition, dosimetric analysis of the salivary glands was performed to identify the relationship between xerostomia and the IB-sparing RT.

RESULTS

The median follow-up duration was 78 months (range, 7 to 194 months). Local, regional, and distant recurrences were observed in 11.9%, 6.8%, and 16.1% of patients, respectively. Of the 16 patients with regional recurrence, 14 underwent IB-sparing RT. The most common site categorization of regional recurrence was level II (75%), followed by retropharyngeal lymph nodes (43.8%); however, there was no recurrence at level IB. In the matched cohorts, IB-sparing RT was not significantly related to treatment outcomes. However, IB-sparing RT patients received a significantly lower mean ipsilateral and contralateral submandibular glands doses (all, p < 0.001) and had a lower incidence of chronic xerostomia compared with non-IB-sparing RT patients (p = 0.006).

CONCLUSION

Our results demonstrated that IB-sparing RT is sufficiently safe and feasible for treating NPC. To reduce the occurrence of xerostomia, IB-sparing RT should be considered without compromising target coverage.

Pretreatment serum albumin-to-alkaline phosphatase ratio is an independent prognosticator of survival in patients with metastatic gastric cancer

BACKGROUND

Previous studies have suggested that a low albumin-to-alkaline phosphatase ratio (AAPR) is associated with a lower survival rate in patients with various malignancies. However, the relationship between pretreatment AAPR and the prognosis of patients with gastric cancer (GC) remains unclear.

AIM

To investigate the prognostic value of AAPR in distant metastatic GC.

METHODS

A total of 191 patients with distant metastatic cancer from a single institute were enrolled in this study. Pretreatment clinical data, including serum albumin and alkaline phosphatase levels, were collected. A chi-square test or Fisher’s exact test was applied to evaluate the correlations between AAPR and various clinical parameters in GC patients. The Kaplan–Meier method and Cox proportional hazards regression model were used to evaluate the prognostic efficacy of AAPR in metastatic GC patients. A two-sided P value lower than 0.05 was considered statistically significant.

RESULTS

A receiver operating characteristic curve indicated that 0.48 was the optimal threshold value for AAPR. AAPR ≤ 0.48 was significantly associated with bone (P < 0.05) and liver metastasis (P < 0.05). Patients with high levels of AAPR had better survival in terms of overall survival (OS) and progression-free survival (PFS), regardless of the presence of liver/bone metastasis. Pretreatment AAPR was found to be a favorable predictor of OS and PFS based on a multivariate cox regression model. AAPR-M system, constructed based on AAPR and number of metastatic sites, showed superior predictive ability relative to the number of metastatic sites for predicting survival.

CONCLUSION

Pretreatment AAPR may serve as an independent prognostic factor for predicting PFS and OS in patients with metastatic GC. Furthermore, AAPR may assist clinicians with individualizing treatment.

Construction and validation of a biochemical signature to predict the prognosis and the benefit of induction chemotherapy in patients with nasopharyngeal carcinoma

This study aimed to develop and validate a biochemical signature for predicting the prognosis of patients with nasopharyngeal carcinoma (NPC) and explore roles of the constructed signature for screening optimal candidates for induction chemotherapy (IC). The biochemical signature was constructed based on a retrospective cohort of 3742 patients from January 2008 to December 2010; 2078 patients from prospective studies from January 2011 to December 2012 and 2153 patients from January 2013 to December 2016 served as validation cohort A and validation cohort B. Overall survival (OS) was the primary endpoint. The least absolute shrinkage and selection operator coefficients on the Cox regression model were calculated to construct the prediction model with the data of 33 biochemical indicators. A total of six prognostic indicators, including sodium, alkaline phosphatase, lactate dehydrogenase, albumin, indirect bilirubin, and cystatin-C, were screened for constructing the biochemical signature. The patients were divided into low-risk and high-risk groups using an optimal cut-off value of 0.823. The patients in high-risk group had significantly lower OS and distant metastasis-free survival (DMFS) compared with patients in low-risk group in three cohorts (P < 0.05). Furthermore, among patients with high-risk scores in the combined cohort, the addition of IC to CCRT further improved their OS and DMFS, whereas patients with low-risk scores did not benefit from IC. Our study developed and validated a clinically useful biochemical signature that could predict the survival outcomes in NPC patients. This signature can help clinicians design personalized treatment strategies.

The Prognostic Value of Preoperative Albumin-to-Alkaline Phosphatase Ratio on Survival Outcome for Patients With Locally Advanced Oral Squamous Cell Carcinoma

Background: This retrospective cohort study was to assess the prognostic value of preoperative albumin-to-alkaline phosphatase ratio (AAPR) on survival outcome for patients with locally advanced oral squamous cell carcinoma (LAOSCC). Methods: A total of 250 patients with LAOSCC receiving upfront radical surgery at a single institute from January 2008 to December 2017 were enrolled. The primary endpoint was the survival predictability of preoperative AAPR on the 5-year overall survival (OS), cancer-specific survival (CSS), and disease-free survival (DFS). Cox proportional hazards model was used for survival analysis. The X-tile software was used to estimate the optimal cut-off value of preoperative AAPR on survival prediction. A predictive nomogram incorporating the clinicopathological factors on OS was further generated. Results: The 5-year OS, CSS, and DFS rates were 68.6%, 79.7%, and 61.7%, respectively. The optimal cut-off of preoperative AAPR to predict the 5-year OS was observed to be 0.51. For those with preoperative AAPR≧0.51, the 5-year OS, CSS, and DFS were statistically significantly superior to those with preoperative AAPR<0.51 (OS: 76.1% vs 48.5%, P < .001; CSS: 84.3% vs 66.4%, P = .005; DFS: 68.9% vs 42.6%, P < .001). In Cox model, we observed that preoperative AAPR<0.51 was a significantly negative prognosticator of OS (HR: 2.22, 95% CI: 1.466-3.361, P < .001), CSS (HR: 2.037, 95% CI: 1.16-3.578, P  = .013), and DFS (HR: 1.756, 95% CI: 1.075-2.868, P  = .025). After adding the variable of preoperative AAPR, the c-index of the predictive nomogram incorporating assorted clinicopathological factors increases from 0.663 to 0.692 for OS. Conclusion: Our results suggest that preoperative AAPR serves as an independent survival predictor for patients with LAOSCC. The nomogram incorporating preoperative AAPR and various clinicopathological features may be a convenient tool to estimate the mortality risk for patients with LAOSCC.

Pretreatment Albumin-to-Alkaline Phosphatase Ratio Is a Prognostic Marker in Lung Cancer Patients: A Registry-Based Study of 7077 Lung Cancer Patients

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.

Prognostic markers compared to CD3+TIL in locally advanced nasopharyngeal carcinoma

Locally advanced nasopharyngeal carcinoma (LA-NPC) is more prevalent in some geographic regions, including Saudi Arabia. Typically, Tumor-Node-Metastasis (TNM) staging is used in NPC. However, it is inadequate to assess the prognosis of LA-NPC.Therefore, we analyzed and compared several previously reported prognostic factors in LA-NPC patients, retrospectively, including CD3+tumor-infiltrating lymphocytes (TIL) and peripheral blood hemoglobin, EBV DNA copy number, ratios of albumin-to-alkaline phosphatase ratio (AAPR), neutrophils, or platelets-to-lymphocytes (NLR, PLR). The studied cohort was 83 LA-NPC patients previously recruited for a randomized phase II trial with a different aim.Univariate cox regression analysis showed no significant correlation between any of the tested variables with disease-free survival (DFS) or overall survival (OS) with the exception of low CD3+ TIL infiltration, which correlated significantly with DFS (HR = 6.7, P = <.001) and OS (HR = 9.1, P = .043). Similarly, in a validated multivariate cox regression analysis, only low CD3+ TIL correlated significantly with DFS (HR = 7.0, P < .001 for TIL) and OS (HR = 9.4, P = .040).Among tested parameters, CD3+ TIL was the only independent prognostic marker for DFS and OS in LA-NPC patients treated with CCRT. This study supports the use of CD3+TIL, over other factors, as an independent prognostic factor in LA-NPC.

Albumin-To-Alkaline Phosphatase Ratio as a Novel and Promising Prognostic Biomarker in Patients Undergoing Esophagectomy for Carcinoma: A Propensity Score Matching Study

Background

Albumin-to-alkaline phosphatase ratio (AAPR) has been reported as a novel prognostic predictor for numerous solid tumors. We aimed to assess the prognostic role of preoperative AAPR in surgically resectable esophageal squamous cell carcinoma (ESCC) by a propensity score matching (PSM) analysis with predictive nomograms.

Methods

Our study was conducted in a single-center prospective database between June 2009 and December 2012. Kaplan-Meier analysis was used to distinguish the difference in survival outcomes between patients stratified by an AAPR threshold. Multivariable Cox proportional hazards regression model was finally generated to specify independent prognostic markers for the entire and PSM cohorts.

Results

A total of 497 patients with ESCC were included in this study. An AAPR of 0.50 was determined as the optimal cutoff point for prognostic outcome stratification. Patients with AAPR<0.50 had significantly worse overall survival (OS), and progression-free survival (PFS) compared to those with AAPR≥0.50 (Log-rank P<0.001). This significant difference remained stable in the PSM analysis. Multivariable analyses based on the entire and PSM cohorts consistently showed that AAPR<0.50 might be one of the most predominant prognostic factors resulting in unfavorable OS and PFS of ESCC patients undergoing esophagectomy (P<0.001). The nomograms consisting of AAPR and other independent prognostic factors further demonstrated a plausible predictive accuracy of postoperative OS and PFS.

Conclusion

AAPR can be considered as a simple, convenient and noninvasive biomarker with a significant prognostic effect in surgically resected ESCC.

Construction and Validation of a Serum Albumin-to-Alkaline Phosphatase Ratio-Based Nomogram for Predicting Pathological Complete Response in Breast Cancer

Background

Breast cancer patients who achieve pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) have favorable outcomes. Reliable predictors for pCR help to identify patients who will benefit most from NAC. The pretreatment serum albumin-to-alkaline phosphatase ratio (AAPR) has been shown to be a prognostic predictor in several malignancies, but its predictive value for pCR in breast cancer is still unknown. This study aims to investigate the predictive role of AAPR in breast cancer patients and develop an AAPR-based nomogram for pCR rate prediction.

Methods

A total of 780 patients who received anthracycline and taxane-based NAC from January 2012 to March 2018 were retrospectively analyzed. Univariate and multivariate analyses were performed to assess the predictive value of AAPR and other clinicopathological factors. A nomogram was developed and calibrated based on multivariate logistic regression. A validation cohort of 234 patients was utilized to further validate the predictive performance of the model. The C-index, calibration plots and decision curve analysis (DCA) were used to evaluate the discrimination, calibration and clinical value of the model.

Results

Patients with a lower AAPR (<0.583) had a significantly reduced pCR rate (OR 2.228, 95% CI 1.246-3.986, p=0.007). Tumor size, clinical nodal status, histological grade, PR, Ki67 and AAPR were identified as independent predictors and included in the final model. The nomogram was used as a graphical representation of the model. The nomogram had satisfactory calibration and discrimination in both the training cohort and validation cohort (the C-index was 0.792 in the training cohort and 0.790 in the validation cohort). Furthermore, DCA indicated a clinical net benefit from the nomogram.

Conclusions

Pretreatment serum AAPR is a potentially valuable predictor for pCR in breast cancer patients who receive NAC. The AAPR-based nomogram is a noninvasive tool with favorable predictive accuracy for pCR, which helps to make individualized treatment strategy decisions.

Prognostic role of pretreatment albumin-to-alkaline phosphatase ratio in locally advanced laryngeal and hypopharyngeal cancer: Retrospective cohort study

Background: This study was designed to assess the prognostic significance of pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in locally advanced laryngeal and hypopharyngeal cancer (LA-LHC).

Materials and Methods: The clinical data of 341 patients with locally advanced laryngeal and hypopharyngeal cancer diagnosed between March 2007 and December 2018 were retrospectively collected and analyzed. The optimal cut-off value of AAPR for evaluating DFS was determined using the ROC curve, and 0.4912 was selected. Based on pretreatment AAPR values, patients were divided into two groups (low vs. high AAPR). Survival analysis was used to investigate the survival distribution between the groups. Univariate and multivariate analyses were performed to evaluate the prognostic value of AAPR. Based on the results of the multivariate analysis, we further developed models of DFS and OS. We assigned low AAPR, N1-3, age ≥65 years, and positive vascular invasion one score, respectively.

Results: Survival analysis demonstrated that the survival of patients with low and high AAPR was significantly different (low vs. high AAPR: 5-year DFS, 46.0 vs. 71.9%, p<0.001; 5-year OS, 69.0 vs. 72.6%, p<0.001). Univariate and multivariate analyses further showed that pretreatment AAPR served as an independent indicator in LA-LHC. Moreover, survival analysis showed that patients with high model score had poorer DFS and OS (5-year DFS: 58.1, 42.7, 26.9 and 9.1% of score zero, one, two, and three respectively, p<0.001; 5-year OS: 63.0, 50.3, 34.1 and 28.6% of score zero, one, two, and three respectively, p<0.001).

Conclusion: Pretreatment AAPR could be an independent prognostic indicator in patients with LA-LHC. Incorporating AAPR into the risk stratification model might better categorize patients with worse oncological outcomes and support treatment strategy making.

Decreased albumin-to-alkaline phosphatase ratio predicted poor survival of resectable gastric cancer patients

Background

The albumin-to-alkaline phosphatase ratio (AAPR) is an innovative prognostic index for various cancer patients, the clinical significance of the AAPR in patients with GC is unknown.

Methods

We retrospectively reviewed 227 resectable GC patients in our center. The Kaplan-Meier method and the Cox proportional hazards model were used to analyze the disease-free survival (DFS) and overall survival (OS). The Likelihood Ratio Test (LRT) and Akaike information criterion (AIC) were used to compare the prognostic abilities of the TNM and AAPR-TNM staging systems in DFS and OS prediction.

Results

The AAPR was significantly decreased in GC patients, and the optimal cut-off value for resectable and benign gastric disease was 0.437 as determined by the receiver operating characteristic (ROC) curve. The correlation analysis revealed that decreased AAPR in GC was associated with T stage (P=0.004) and TNM stage (P=0.013). Decreased preoperative AAPR correlated with both unfavorable disease-free survival (DFS) and overall survival (OS). Cox regression analysis showed that the TNM stage (DFS: P=0.001, OS: P=0.002) and differential levels of AAPR (DFS: P<0.001, OS: P<0.001) were independent risk factors of DFS and OS. ROC analysis showed that the AAPR-TNM system was more superior than the TNM staging system for DFS (z=1.91, P=0.028) and OS (z=1.937, P=0.026) prediction. The likelihood ratio test (LRT) analysis indicated that the AAPR-TNM system had a significantly larger χ² for both DFS (35.58 vs. 34.51, P<0.001) and OS (32.92 vs. 30.07, P<0.001), and a lower Akaike information criterion (AIC) value both for DFS (1,032 vs. 1,065, P<0.001) and OS (869 vs. 898, P<0.001) compared to the TNM system.

Conclusions

The AAPR level significantly decreased in patients with GC, and impacted the prognosis of patients.

Prognostic Significance of Preoperative Albumin to Alkaline Phosphatase Ratio in Patients with Glioblastoma

Objective: To explore the prognostic value of preoperative albumin to alkaline phosphatase ratio (AAPR) in patients with newly-diagnosed glioblastoma (GBM) and its association with clinical characteristics. Patients and methods: A retrospective analysis was carried out on patients with newly diagnosed GBM who had undergone operation at the Department of Neurosurgery at West China Hospital between June 1st 2016 to December 31st 2018. X-tile software was applied to determine the optimal cut-off values for AAPR, neutrophil to lymphocyte ratio (NLR), and albumin. Cox regression analyses were applied to evaluate the prognostic value of AAPR in GBM. PSM analysis was conducted to verify the results. Results: A total of 197 and 154 GBM patients were included in original cohort and PSM cohort respectively. The optimal cut-off value for AAPR, NLR, and albumin were 0.56, 4.55 and 42.2 g/L respectively. High AAPR was only significantly related to longer overall survival (OS) (p=0.010) in original cohort. In PSM cohort, no clinical variable was evidently related to the level of AAPR. AAPR was determined to be an independent prognostic indicator in both original cohort (HR=0.599, 95%CI 0.437-0.822, p=0.001) and PSM cohort (HR=0.649, 95%CI 0.459-0.918, p=0.015). Prognostic models including AAPR had better prognostic accuracy than that including albumin. Conclusion: Preoperative AAPR was determined to be an independent risk factor of prognosis in newly-diagnosed GBM patients, and its prognostic ability was stronger than albumin. And PSM analysis also validated the results.

Association Between the Pretreatment Albumin-to-Alkaline Phosphatase Ratio and Clinical Outcomes in Patients With Bladder Cancer Treated With Radical Cystectomy: A Retrospective Cohort Study

Objective

Serum albumin-to-alkaline phosphatase ratio (AAPR) has been proven to be a prognostic indicator of many malignant tumors. However, whether it can predict the prognosis of bladder cancer (BC) patients who underwent radical cystectomy (RC) remains unclear. This study was designed to assess the relationship between AAPR and clinical outcomes in patients with BC treated with RC.

Methods

The clinicopathological data of 199 BC patients receiving RC in our institution from January 2012 to December 2017 were retrospectively collected and analyzed. They were divided into three groups based on the optimal cut-off values and the association between AAPR groups and their clinical outcomes were evaluated.

Results

The average age of the patients was (64.0 ± 8.7) years and 79.9% were male. Based on the cut-off values of AAPR, patients were divided into three groups: low-AAPR group (AAPR < 0.37, n = 35), medium-AAPR group (AAPR = 0.37-0.59, n = 61) and high-AAPR group (AAPR > 0.59, n = 103). The median overall survival (OS) of each AAPR group was 12.5, 24, and 29 months, respectively (P value <0.0001). After adjusting the Cox proportional hazards model, medium- and high- AAPR groups showed a reduced risk trend of death, with a risk ratio of 0.44 (95% CI = 0.21-0.91) and 0.25 (95% CI = 0.12-0.49), respectively (P for trend <0.001). No nonlinear relationship was identified by smooth fitting curve between AAPR and OS. By subgroup analysis, we observed that compared to the low-AAPR group, the trends of the HRs in the medium- and high-AAPR group were decreased across nearly all subgroups after stratification. Moreover, the AAPR-based nomograms for OS, CSS and RFS were also constructed. The C-index showed a good predictive accuracy (OS, C-index 0.728, 95% CI 0.663-0.793; CSS, C-index 0.792, 95% CI 0.748-0.838; RFS, C-index 0.784, 95% CI 0.739-0.829).

Conclusion

Pretreatment AAPR is significantly associated with the prognosis of BC patients receiving RC, which can be conducive to the clinical decision-making and risk stratification in those patients. The nomogram based on AAPR is a reliable model for predicting survival of BC patients after RC.

Prognostic Utility of Prechemoradiotherapy Albumin-to-Alkaline Phosphatase Ratio in Unresectable Locally Advanced Pancreatic Carcinoma Patients

Background

We investigated the prognostic usefulness of prechemoradiotherapy (CRT) albumin-to-alkaline phosphatase ratio (AAPR) in unresectable locally advanced pancreatic adenocarcinoma (LAPAC) patients managed with definitive concurrent CRT (CCRT).

Methods

A sum of 136 LAPAC patients who consecutively underwent definitive CCRT was retrospectively analyzed. The AAPR (serum albumin (g/dL)/serum alkaline phosphatase (IU/L)) was calculated by using the parameters obtained from the routine biochemistry tests on the first day of the CCRT. Ideal AAPR cutoff was sought by utilizing receiver operating characteristic (ROC) curve analysis. The primary and secondary endpoints were the impact of the AAPR on the overall survival (OS) and progression-free survival (PFS) results, respectively.

Results

At a median follow-up of 14.8 months (range: 3.2-85.7), the median PFS and OS times were 7.5 (95% confidence interval (CI): 6.0-9.0) and 14.9 months (95% CI: 11.9-17.9), respectively. The ideal common AAPR cutoff was identified at the rounded 0.46 (area under the curve: 72.3%; sensitivity: 71.2%; specificity: 70.3%) point that dichotomized the patients into two groups: low AAPR (L-AAPR; N = 71) and high AAPR (H-AAPR; N = 65) groups, respectively. Comparative survival analyses showed that the L-AAPR cohort had significantly shorter median PFS (6.8 (95% CI: 5.7-7.9) versus 11.3 (95% CI: 9.9-12.7) months; P = 0.005) and OS (12.8 (95% CI: 10.6-15.0) versus 19.2 (95% CI: 16.9-21.5) months; P = 0.001) durations than their H-AAPR counterparts, separately. Albeit the N1-2 (P = 0.004) and CA 19‐9 > 90 U/mL (P = 0.008) were also found to be associated with inferior outcomes, yet the results of the multivariate analyses ascertained the L-AAPR as an independent indicator of diminished PFS (P = 0.003) and OS (P = 0.002) results.

Conclusion

The present results proposed that the pretreatment AAPR < 0.46 was a novel independent indicator of adverse PFS and OS in unresectable LAPAC patients undergoing definitive CCRT.

Albumin-to-alkaline phosphatase ratio as a promising indicator of prognosis in human cancers: is it possible?

Background

The impact of albumin-to-alkaline phosphatase ratio (AAPR) on prognosis in cancer patients remains uncertain, despite having multiple relevant studies in publication.

Methods

We systemically compiled literatures from 3 databases (Cochrane Library, PubMed, and Web of Science) updated to May 24th, 2020. Hazard ratios (HRs) and 95% confidence intervals (CIs) were computed and synthesized using STATA 14, values were then pooled and utilized in order to assess the overall impact of AAPR on patient’s prognosis.

Results

In total, 18 studies involving 25 cohorts with 7019 cases were incorporated. Pooled results originated from both univariate and multivariate analyses (HR = 2.14, 95%CI:1.83–2.51, random-effects model; HR = 1.93, 95%CI:1.75–2.12, fixed-effects model; respectively) suggested that decreased AAPR had adverse effect on overall survival (OS). Similarly, pooled results from both univariate and multivariate analysis of fixed-effects model, evinced that decreased AAPR also had adverse effect on disease-free survival (DFS) (HR = 1.81, 95%CI:1.60–2.04, I² = 29.5%, P = 0.174; HR = 1.69, 95%CI:1.45–1.97, I² = 13.0%, P = 0.330; respectively), progression-free survival (PFS) (HR = 1.71, 95%CI:1.31–2.22, I² = 0.0%, P = 0.754; HR = 1.90, 95%CI:1.16–3.12, I² = 0.0%, P = 0.339; respectively), and cancer-specific survival (CSS) (HR = 2.22, 95%CI:1.67–2.95, I² = 5.6%, P = 0.347; HR = 1.88, 95%CI:1.38–2.57, I² = 26.4%, P = 0.244; respectively). Admittedly, heterogeneity and publication bias existed, but stratification of univariate meta-analytic results, as well as adjusted meta-analytic results via trim and fill method, all showed that AAPR still significantly correlated with poor OS despite of confounding factors.

Conclusions

In summary, decreased AAPR had adverse effect on prognosis in cancer patients. As an inexpensive and convenient ratio derived from liver function test, AAPR might become a promising indicator of prognosis in human cancers.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-07921-6.

Prognostic Value of Preoperative Albumin-to-Alkaline Phosphatase Ratio in Patients with Muscle-Invasive Bladder Cancer After Radical Cystectomy

Objective

This study investigated the prognostic value of the preoperative albumin alkaline phosphatase ratio (AAPR) in patients with muscle-invasive bladder cancer after radical cystectomy.

Materials and Methods

We performed a retrospective, single-center cohort study among patients with muscle-invasive bladder cancer who underwent radical cystectomy and urinary diversion at the Department of Urology Surgery of the Affiliated Hospital of Qingdao University from 2007 to 2015. Cox proportional hazards regression was used to evaluate the relationship between preoperative AAPR and outcomes which include OS and CSS and RFS. Survival analysis was conducted using the Kaplan–Meier method and the log rank test.

Results

In total, 174 patients were followed up for 1–125 months, with a median follow-up of 30 months, 93 survived and 81 patients died. The median serum AAPR level in all patients was 0.62 (range: 0.12–1.67). In multivariate analysis, the preoperative AAPR showed to be associated with overall survival (OS: HR 0.22,95% CI 0.06 to 0.82, P=0.024), cancer-specific survival (CSS: HR 0.12,95% CI 0.02 to 0.63, P=0.013) and recurrence-free survival (RFS: HR 0.15,95% CI 0.03 to 0.82, P=0.029) after adjustment for potential confounders. Kaplan–Meier analysis showed that patients with low AAPR tertiles had shorter OS, CSS and RFS than patients with high AAPR tertiles (OS: P<0.001, CSS: P<0.001, RFS: P<0.001). The relationship between AARP and OS, CSS and RFS was linear.

Conclusion

Preoperative AAPR may be a potentially valuable prognostic marker in patients who underwent radical cystectomy for muscle-invasive bladder cancer.

Prognostic Value of Pretreatment Albumin-to-Alkaline Phosphatase Ratio in Cancer: A Meta-Analysis

Background

Recently, it has been reported that the pretreatment albumin-to-alkaline phosphatase ratio (AAPR) is related to the prognosis of various cancers. The purpose of this systematic review and meta-analysis was to explore the prognostic value of pretreatment AAPR on clinical outcomes in cancer.

Methods

PubMed, Web of Science, Cochrane Library, and Embase were systematically searched for relevant research before May 2020. Stata 12 was utilized to extract the data and the characteristics of each study and to generate a pooled hazard ratio (HR) and 95% confidence interval (CI) to assess the relationship between pretreatment AAPR and survival outcomes.

Results

We included 16 eligible published articles involving 5,716 patients. We found that low pretreatment AAPR was associated with poor overall survival (HR = 2.12, 95% CI: 1.80–2.50, P < 0.001), cancer-specific survival (HR = 2.89, 95% CI: 1.46–5.71, P < 0.001), disease-free survival (HR = 1.91, 95% CI: 1.43–2.53, P < 0.001), and progression-free survival (HR = 1.93, 95% CI: 1.49–2.52, P < 0.001). However, there was no statistical relationship between pretreatment AAPR and recurrence-free survival, distant-metastasis-free survival, or locoregional relapse-free survival. The correlation between pretreatment AAPR and overall survival did not change significantly when possible confounders were stratified. The sensitivity analysis showed that this study was reliable.

Conclusions

Low pretreatment AAPR was significantly associated with adverse clinical outcomes of cancer. Pretreatment AAPR could be a valuable noninvasive prognostic indicator for cancer.

Prognostic effect of pretreatment albumin-to-alkaline phosphatase ratio in human cancers: A meta-analysis

Purpose

It has been demonstrated that, for various types of cancer, the pretreatment albumin/alkaline phosphatase ratio (AAPR) was a prognostic factor. Therefore, in order to determine AAPR’s prognostic effect on cancer, the meta-analysis was hereby performed.

Patients and methods

The relevant studies conducted before November 10, 2019, were comprehensively searched in Web of Science, PubMed, and Embase. HRs(hazard ratios) with related 95%CIs(confidence intervals) were adopted to estimate AAPR’s prognostic impact on overall survival (OS) & disease-free survival (DFS).

Results

Our meta-analysis involved thirteen cohort studies, which included 5,204 cases of 8 types. The results of this meta-analysis indicated that higher AAPR was corrected with better OS (pooled HR = 0.52; 95%CI = 0.47–0.58; P<0.001) and DFS (pooled HR = 0.55; 95%CI = 0.47–0.66; P<0.001). Subgroup analysis on OS was based on the cancer system, treatment methods, and cutoff value. Moreover, higher AAPR was statistically in associated with lighter infiltration (pooled OR = 0.79; 95%CI = 0.73–0.85; P<0.001), no lymph nodes metastasis (pooled OR = 0.89; 95%CI = 0.83–0.95; P = 0.001), and no distant metastasis (pooled OR = 0.92; 95%CI = 0.86–0.99; P = 0.028).

Conclusion

Higher AAPR was related to better prognosis of cancer, and in cancer therapy, AAPR could be taken as a promising marker of prognosis. It might help physicians to select the most appropriate treatments by evaluating the current status of patients with cancer. Future multicenter prospective clinical trials were required to verify its applications.

Predictive value of pretreatment albumin-to-alkaline phosphatase ratio for overall survival for patients with advanced non-small cell lung cancer

Objectives

To investigate the relation between AAPR and OS in patients with advanced non‐small cell lung cancer (NSCLC).

Methods

A retrospective cohort study was conducted with 808 patients with advanced NSCLC who were treated in Guangxi Medical University Affiliated Tumor Hospital in China from 5 March 2009 to 31 August 2018. The target‐independent and dependent variables were AAPR measured in patients before anticancer treatment and overall survival (OS), respectively. Covariates involved in this study included age, gender, ECOG status, smoking history, clinical stages, pathological type, driver mutation (EGFR or ALK), metastasis or not (bone, lung, liver, brain, malignant plural effusion, and other organs), number of organ metastasis(≤3, >3), first‐line regiment and number of treatment lines (≤3, >3).

Results

The mean age of the selected patients was 58.3 ± 10.9 years and 68.6% were male. We divided patients according to their AAPR into low (AAPR < 0.34, n = 266), medium (AAPR = 0.34‐0.47, n = 259), and high (AAPR > 0.47, n = 283) tertile groups. Medium and high AAPR were associated with a decreased risk of death after fully adjusted Cox proportional hazard model(s) with hazards ratio (HR) 0.77 (95%CI = 0.58‐1.03) and HR 0.59 (95%CI = 0.45‐0.78), respectively (P for trend <.05). The median OS of low, medium, and high AAPR was 9.3, 11.8, and 16.9 months, respectively (P value <.0001). No optimal cutoff value of AAPR for prognosing OS was identified by smooth curve fitting. The HR and the 95% confidence intervals of the left and right sides of the inflection point 0.6 as cutoff value were 0.28 (95%CI = 0.14‐0.57) and 0.77 (95%CI = 0.34‐1.73), respectively (P value = .127). By subgroup analysis, similar results were consistently observed across nearly all the subgroups.

Conclusion

Our study implied that pretreatment AAPR can be used as an independent prognostic factor in patients with advanced NSCLC. This ratio should be applied for risk stratification and clinical decision‐making in those patients.

Prognostic Value of Pretreatment Albumin-to-Alkaline Phosphatase Ratio in Extensive-Disease Small-Cell Lung Cancer: A Retrospective Cohort Study

PURPOSE

Evidence regarding the relationship between albumin-to-alkaline phosphatase ratio (AAPR) and overall survival (OS) in extensive-disease small-cell lung cancer (ED-SCLC) patients is limited. This study aimed to investigate whether AAPR was independently related to OS in ED-SCLC patients after adjusting for potential covariates.

PATIENTS AND METHODS

This was a retrospective cohort study of 224 patients with ED-SCLC. The target independent and dependent variables were pretreatment AAPR and OS, respectively. Covariates included age; sex; Eastern Cooperative Oncology performance status score; smoking history; existence of metastasis to organs such as the bone, lung, liver, brain, malignant plural effusion and others; sum of organ metastasis (≤3, >3), evaluation of first-line treatment; and sum of treatment lines (<2, ≥2). Student's t test or chi-squared test was used to analyze the associations between AAPR and clinical characteristics. Kaplan-Meier survival analysis and Cox's proportional hazards regression model were used to assess the prognostic value of AAPR for OS.

RESULTS

The average patient age was 60.51±8.73 years, and 87.95% were men. A non-linear relationship between AAPR and OS was detected, with an inflection point of 0.35. The hazard ratios (HRs) of the left (AAPR <0.35) and right sides (AAPR ≥0.35) of inflection point were 0.04 (95% CI=0.00-0.70, p=0.0268) and 0.52 (95% CI=0.16-1.64, p=0.2659), respectively. Kaplan-Meier analysis showed a median OS of 9.73 months (95% CI=8.6-12.33) for AAPR <0.35 and 13.7 months (95% CI=11.43-16.37) for AAPR ≥0.35 (log-rank p<0.0001). The Cox proportional hazards model showed that AAPR <0.35 increased the risk of death after adjusting for potential confounders (HR=1.65, 95% CI=1.11-2.46). In subgroup analysis, the trends of HRs were increased across all subgroups with AAPR <0.35 after stratification.

CONCLUSION

Pretreatment AAPR might be served as an independent prognostic indicator in ED-SCLC patients. Our findings should be further validated in large-scale and prospective clinical trials.

Prognostic Value of Clinical Biochemistry-Based Indexes in Nasopharyngeal Carcinoma

Inflammation and nutritional status have significant effects on the prognosis of cancer patients. This study investigated the predictive value of clinical biochemistry-based indexes in nasopharyngeal carcinoma (NPC). This retrospective study included 559 NPC patients and 500 patients with chronic rhinitis. Continuous variables were measured by t-test. The area under curves (AUC) was used to determine the diagnostic and prognostic value for NPC. Kaplan-Meier methods and the log-rank test were used to analyze overall survival (OS) and disease-free survival (DFS) of the patients. Cox and logistic regression analysis were used to analyze the independent prognostic risk factors for survival and influencing factors of side effects after treatment, respectively. The study results revealed that most indexes of NPC and rhinitis were significantly different between the two groups. In the survival analysis, the systemic inflammation score (SIS), prognostic nutritional index (PNI), albumin/globulin ratio (AGR), albumin (ALB), urea nitrogen (BUN) and creatinine (CREA) had significant influence on the OS and DFS. AGR was the optimal prognostic indicator for NPC. Among these indexes, SIS, AGR, BUN and CERA were independent prognostic factors of OS, AGR and PNI were independent prognostic factors of DFS. Most indexes were risk factors of side effects occurred in radiotherapy. In conclusion, the clinical biochemistry-based indexes, are reliable and of low-cost, therefore, they can be used in predicting diagnosis, prognosis and treatment plans of NPC.

The Prognostic Significance Of Pretreatment Albumin/alkaline Phosphatase Ratio In Patients With Stage IB-IIA Cervical Cancer

Background

Pretreatment albumin/alkaline phosphatase ratio (AAPR) has been discussed about its prognostic value in several malignancies, whereas its role in cervical cancer remains unclear. In this study, we attempt to explore the prognostic significance of the AAPR in stage IB-IIA cervical cancer patients who underwent a radical hysterectomy.

Patients and methods

A total of 230 cervical cancer patients were enrolled in this retrospective study. The threshold value of AAPR was determined by receiver operating characteristic (ROC) curve. Kaplan-Meier survival analysis and multivariate analysis were performed to identify independent prognostic predictors of disease-free survival (DFS) and overall survival (OS).

Results

The optimal cut-off value of the preoperative AAPR was 0.68. Patients with AAPR<0.68 showed obviously inferior OS and DFS than those with AAPR>0.68 according to Kaplan-Meier curves (DFS: P = 0.011; OS: P = 0.017). In multivariate analysis, the preoperative AAPR showed to be an independent predictive factor for disease-free survival (DFS: P = 0.015) and overall survival (OS: P = 0.019). Moreover, subgroup analysis revealed that the lower AAPR was correlated with worse prognosis in patients with histologic grade I-II; but in those with histologic grade III, there was no significant difference between the two groups.

Conclusion

Preoperative AAPR was a potentially valuable prognostic index in stage IB-IIA cervical cancer patients. Further prospective studies are required to validate its prognostic value.

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

OBJECTIVES

To evaluate prognostic significance of albumin-to-alkaline phosphatase ratio (AAPR) for patients undergoing video-assisted thoracoscopic surgery (VATS) lobectomy for non-small-cell lung cancer (NSCLC) by a propensity score-matching (PSM) analysis.

METHODS

This PSM study was conducted on the prospectively-maintained database in our institution between December 2013 and March 2015. Overall survival analyses and further subgroup analyses were both performed to distinguish the differences in postoperative survival between patients stratified by an optimal cutoff of AAPR. Multivariable Cox proportional hazards regression models were established to determine the independent prognostic factors.

RESULTS

There were 390 patients with operable NSCLCs included. An AAPR of 0.57 was identified as the optimal cutoff regarding to postoperative survival. Both overall survival (OS) and disease-free survival (DFS) in patients with AAPR≤0.57 were significantly shortened compared to those in patient with AAPR>0.57 (Log-rank P < 0.001). Patients with AAPR≤0.57 had significantly lower rates of OS and DFS than those of patients with AAPR>0.57 (P < 0.001). These differences still remained significant after subgroup analyses and PSM analyses. Multivariate analyses on the entire cohort and the PSM cohort commonly indicated that low preoperative AAPR could be an independent prognostic factor for unfavorable OS and DFS of resected NSCLCs.

CONCLUSIONS

AAPR can serve as a novel risk stratification tool to refine prognostic prediction for surgical NSCLC. It may help surgeons to screen high-surgical-risk patients and further formulate individualized treatment schemes.