Albumin-to-Alkaline Phosphatase Ratio: A Novel Prognostic Index of Overall Survival in Cisplatin-based Chemotherapy-treated Patients with Metastatic Nasopharyngeal Carcinoma

Nomograms Based on Blood-Based Biomarkers for Predicting Prognosis in Locally Advanced Nasopharyngeal Carcinoma Patients

Purpose: This study aimed to investigate the prognostic significance of the platelet-to-platelet distribution width ratio (P/PDW), systemic inflammation response index (SIRI), and systemic immune inflammation index (SII) in patients with locally advanced nasopharyngeal carcinoma (LA-NPC). Methods: A total of 549 LA-NPC patients were included in this retrospective analysis. Clinicopathological characteristics and blood test data were obtained from patient records. Receiver operating characteristic (ROC) curve analysis was employed to determine the optimal cutoff values for P/PDW, SIRI, and SII. The χ 2 test was used to compare clinicopathological characteristics. Survival rates were calculated using the Kaplan-Meier method. Prognostic factors were evaluated using univariate and multivariate analyses via Cox regression. Additionally, we developed a nomogram to predict outcomes and assessed its acuracy using the concordance index (C-index) and a calibration curve. Results: The median follow-up time was 47.1 months. Elevated P/PDW levels were associated with advanced N stages and higher risks of disease progression (all p  < 0.05). Patients with high SIRI or SII levels were more likely to have advanced T stages, clinical stages, and to develop metastasis (all p  < 0.05). Univariate analysis revealed that P/PDW, SIRI, SII, and T stage were significantly correlated with both overall survival (OS) and progression-free survival (PFS; all p  < 0.05). Clinical stage was significantly related only to PFS (p=0.009). Multivariate Cox regression analysis identified P/PDW (hazard ratio (HR): 0.544, 95% confidence interval (CI): 0.390-0.759, p  < 0.001; HR: 0.406, 95% CI: 0.268-0.615, p  < 0.001) and T stage (HR: 0.539, 95% CI: 0.378-0.768, p=0.001; HR: 0.545, 95% CI: 0.364-0.815, p=0.003) as independent prognostic factors for both OS and PFS, while SIRI (HR: 0.525, 95% CI: 0.333-0.827, p=0.006) was an independent predictor of OS. Nomogram C-indexes for the nomogram of OS were 0.717 and PFS were 0.711, respectively. Survival predictions and actual survival were consistent according to the calibration curve. Conclusion: Our findings suggest that P/PDW is a convenient and effective marker for predicting outcomes in LA-NPC patients.

Prognostic Significance of the Combined Albumin-To-Alkaline Phosphatase Ratio (AAPR) and Haemoglobin-Albumin-Lymphocyte-Platelet (HALP) Score in Patients with Metastatic Renal Cell Carcinoma Treated by Targeted Therapy: A New Prognostic Combined Risk Scoring

Background/Objectives: Renal cell carcinoma (RCC) accounts for 2-3% of all cancers, with approximately 25% of patients being detected at the metastatic stage. This study aimed to determine the prognostic significance of co-evaluating two risk parameters: one, the HALP score based on haemoglobin, albumin, lymphocyte, and platelet counts, and the other, albumin-to-alkaline phosphatase ratio (AAPR) in patients with metastatic RCC treated with targeted therapy. Methods: This retrospective cohort study included 147 patients with metastatic RCC. The HALP score and AAPR values were calculated from pre-treatment blood test results, and followingly, the cut-off value was determined by using ROC analysis. Patients were categorised into three groups with a low, moderate or high combined risk score based on this cut-off value. The effect of these risk groups on survival was evaluated. Results: The mean age of patients was 64.1 ± 11.9. The median follow-up time was 38.3 months, and the mortality rate was 53.7% in all groups. Kaplan-Meier survival analysis showed a statistically significant difference between the combined scores of the risk groups: the median survival time was 51.6 months in the low-risk group, 20.7 months in the medium-risk group, and 10.4 months in the high-risk group (p < 0.001), with 5-year survival rates being 38.8% in the low-risk group, 30% in the intermediate-risk group, and 19% in the high-risk group. When compared to the low-risk group, Cox regression analysis revealed that the mortality risk, i.e., HR (hazard ratio), was 2.42 times higher in the intermediate-risk group and 3.76 times higher in the high-risk group. A nephrectomy operation decreased the mortality risk (HR = 0.24) by 4.16 times. Conclusions: This new combined risk scoring, obtained from co-evaluating the HALP score and AAPR, was found to be an independent prognostic factor in metastatic RCC patients. This combined risk scoring is expected to help clinicians in treatment decisions.

Impact of immune, inflammatory and nutritional indices on outcome in patients with locally advanced cervical cancer treated with definitive (chemo)radiotherapy

OBJECTIVE

Systemic immune, inflammatory, and nutritional indices are prognostic across multiple tumor sites. Comprehensive analysis of these markers in patients with locally advanced cervical cancer (LACC) treated with definitive (chemo)radiotherapy [(C)RT] is limited and may assist with future prognostication.

METHODS

For this retrospective cohort study, patients with LACC treated with definitive (C)RT were identified from a comprehensive cancer center's clinicopathological database. Pre-treatment indices were derived including systemic immune-inflammation index (SII), platelet lymphocyte ratio (PLR), neutrophil lymphocyte ratio (NLR), monocyte lymphocyte ratio (MLR), albumin to alkaline phosphatase ratio (AAPR) and prognostic nutritional index (PNI). Univariate analysis was performed for PFS and OS. ROC curves were analyzed to determine optimal cut points. PFS and OS were assessed by the Kaplan-Meier method and Log-Rank test. Multivariate analysis was performed using Cox regression.

RESULTS

196 patients were identified: median follow-up 7 years (IQR 2-11). Higher SII (≤700 vs >700; p = 0.01), higher PLR (≤ 250 vs >250; p < 0.001) and higher NLR (≤ 5 vs >5; p = 0.003) were associated with worse PFS. Higher SII (≤700 vs >700: p = 0.02), higher PLR (≤ 250 vs >250: p < 0.001) and higher NLR (≤ 5 vs >5; p = 0.01) were associated with worse OS. On multivariate analysis, SII, NLR and PLR were independently associated with PFS. SII and PLR were independently associated with OS.

CONCLUSIONS

SII and PLR were independently associated with PFS and OS in patients with LACC treated with definitive (C)RT. NLR was independently associated with PFS. High inflammatory state is associated with shorter survival suggesting this as a target for interventions if validated in future studies.

Preoperative albumin-alkaline phosphatase ratio affects the prognosis of patients undergoing hepatocellular carcinoma surgery

BACKGROUND

The correlation between the preoperative albuminalkaline phosphatase ratio (AAPR) and the prognosis of hepatocellular carcinoma (HCC) patients after radical resection is still not comprehensive.

OBJECTIVE

This study aims to observe the correlation between preoperative AAPR and the prognosis of HCC patients after radical resection.

METHODS

We constructed a retrospective cohort study and included 656 HCC patients who underwent radical resection. The patients were grouped after determining an optimum AAPR cut-off value. We used the Cox proportional regression model to assess the correlation between preoperative AAPR and the prognosis of HCC patients after radical resection.

RESULTS

The optimal cut-off value of AAPR for assessing the prognosis of HCC patients after radical resection was 0.52 which was acquired by using X-tile software. Kaplan-Meier analysis curves showed that a low AAPR (⩽ 0.52) had a significantly lower rate of overall survival (OS) and recurrence-free survival (RFS) (P< 0.05). Multiple Cox proportional regression showed that an AAPR > 0.52 was a protective factor for OS (HR = 0.66, 95%CI 0.45-0.97, p= 0.036) and RFS (HR = 0.70, 95% CI 0.53-0.92, p= 0.011).

CONCLUSIONS

The preoperative AAPR level was related to the prognosis of HCC patients after radical resection and can be used as a routine preoperative test, which is important for early detection of high-risk patients and taking personalized adjuvant treatment.

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.

Albumin-to-Alkaline Phosphatase Ratio as a Prognostic Biomarker for Spinal Fusion in Lumbar Degenerative Diseases Patients Undergoing Lumbar Spinal Fusion

Objective: To determine if preoperative albumin-alkaline phosphatase ratio (AAPR) is predictive of clinical outcomes in patients with degenerative lumbar diseases undergoing lumbar fusion. Method: 326 patients undergoing posterior lumbar decompression and fusion were retrospectively analyzed. The cumulative grade was calculated by summing the Pfirrmann grades of all lumbar discs. Grouping was based on the 50th percentile of cumulative grade. The relationship between AAPR, intervertebral disc degeneration (IDD) severity, and fusion rate was explored using correlation analyses and logistic regression models. Meanwhile, the ROC curve evaluated the discrimination ability of AAPR in predicting severe degeneration and non-fusion. Results: High AAPR levels were significantly negatively correlated with severe degeneration and non-fusion rate. A multivariate binary logistic analysis revealed that high preoperative AAPR was an independent predictor of severe degeneration and postoperative non-fusion (OR: 0.114; 95% CI: 0.027−0.482; p = 0.003; OR: 0.003; 95% CI: 0.0003−0.022; p < 0.001). The models showed excellent discrimination and calibration. The areas under the curve (AUC) of severe degeneration and non-fusion identified by AAPR were 0.635 and 0.643. Conclusion: The AAPR can help predict the severity of disc degeneration and the likelihood of non-fusion.

Prognostic Value of Albumin-to-Alkaline Phosphatase Ratio for EGFR-Mutated Advanced Non-Small-Cell Lung Cancer Patients Treated with First-Line EGFR-TKIs: A Large Population-Based Study and Literature Review

Background

Resistance inevitably develops in epidermal growth factor receptor (EGFR)-mutated advanced non-small-cell lung cancer (NSCLC) patients after treatment of EGFR tyrosine kinase inhibitors (EGFR-TKIs). The albumin-to-alkaline phosphatase ratio (AAPR), a novel index, has been reported to be associated with survival in various cancers. In this study, we explored the prognostic value of AAPR in EGFR-mutated advanced NSCLC patients treated with first-line EGFR-TKIs.

Methods

The clinical and pretreatment laboratory data were retrospectively extracted from hospital medical system. The Log-rank and Kaplan–Meier analyses were adopted to detect differences in survival between groups. Univariate and multivariate Cox’s proportional hazard regression models were applied to assess the prognostic value of AAPR for progression-free survival (PFS) and overall survival (OS).

Results

Totally, 598 EGFR-mutated NSCLC patients with stage IIIB-IV were enrolled into this study. The median age of all patients was 60 years, and 56.9% were women. About 97% patients had common EGFR gene mutations of deletions in exon 19 (19 del) or a point mutation in exon 21 (L858R). Using receiver operating characteristic (ROC) curve analysis and the Youden index, the optimal cut-off value of pretreatment AAPR was 0.47. Patients with high AAPR achieved longer median PFS and OS than patients with low AAPR (14.0 months vs 10.4 months, P<0.01; 58.2 months vs 36.7 months, P<0.001, respectively). The multivariate analysis by Cox’s proportional hazards regression model demonstrated that AAPR was an independent prognostic factor for both PFS (HR: 0.813, 95% CI: 0.673–0.984, P=0.033) and OS (HR: 0.629, 95% CI: 0.476–0.830, P=0.001).

Conclusion

Pretreatment AAPR, measured as part of routine blood biochemical test, may be a reliable prognostic indicator in EGFR-mutated advanced NSCLC patients treated with first-line first-generation EGFR-TKIs.

A clinical nomogram for predicting tumor regression grade in esophageal squamous-cell carcinoma treated with immune neoadjuvant immunotherapy

Background

There are various treatment options for esophageal squamous cell cancer. including surgery, peri-operative chemotherapy, and radiation. More recently, neoadjuvant immunotherapy has also been shown improve outcomes. In this study, we addressed the question, "Can we predict which patients with esophageal squamous cell cancer will benefit from neoadjuvant immunotherapy?".

Methods

All patients with thoracic esophageal squamous-cell carcinoma (T2N+M0-T3-4N0/+M0) (according to the eighth edition of the National Comprehensive Cancer Network guidelines) who underwent immune neoadjuvant immunochemotherapy with programmed cell death protein 1 (PD-1) combined with paclitaxel plus cisplatin or nedaplatin in the Affiliated Cancer Hospital of Zhengzhou University, China, between November 2019 and August 2021 were included in this study. All patients underwent surgical resection. We developed a response [tumor regression grade (TRG)] prediction model using the least absolute shrinkage and selection operator (LASSO) regression incorporating factors associated with response. The accuracy of the prediction model was then validated.

Results

We included 79 patients who underwent neoadjuvant immunotherapy combined with chemotherapy, aged 48-78 years (62.05±6.67), including 21 males and 58 females. There were five cases of immune-related pneumonia, of which three cases were diagnosed as immune-related pneumonia during the perioperative period, and one case of immune-related thyroid dysfunction changes. After LASSO regression, the factors that were independently associated with TRG were clinical T stage before neoadjuvant therapy, clinical N stage before neoadjuvant therapy, albumin level difference from before to after neoadjuvant therapy, white blood cell (WBC) count before neoadjuvant therapy, and T stage before surgery. We constructed a prediction model, plotted the nomogram, and verified its accuracy. Its Brier score was 0.13, its calibration slope was 0.98, and its C-index was 0.90 (95% CI: 0.82-0.97).

Conclusions

Our prediction model can predict the likelihood of TRG in patients with esophageal squamous cell cancer after immunotherapy combined with neoadjuvant chemotherapy. Using this prediction model, we plan to conduct a subsequent neoadjuvant radiotherapy in patients with of TRG 2-3 patients with neoadjuvant radiotherapy.

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.

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 Prognostic Marker of Nivolumab Monotherapy for Previously Treated Metastatic Renal Cell Carcinoma

BACKGROUND/AIM

The relationship between albumin-to-alkaline phosphatase ratio (AAPR) and the outcome of patients with metastatic renal cell carcinoma (mRCC) treated with immune checkpoint inhibitors remains unresolved. We aimed to clarify the prognostic role of AAPR in nivolumab monotherapy for previously treated mRCC.

PATIENTS AND METHODS

We retrospectively evaluated 60 patients with mRCC treated with nivolumab after failure of at least one molecular targeted therapy. The patients were stratified into two groups based on the baseline AAPR. The threshold of AAPR was determined using receiver-operating characteristics and Youden index analyses. Overall survival (OS), progression-free survival (PFS), and objective response rate (ORR) of nivolumab therapy were compared between the high and low AAPR groups.

RESULTS

The threshold of AAPR was set at 0.3, and 20 patients (33%) were assigned to the low AAPR group. The median OS and PFS were significantly lower in the low AAPR group than those in the high group (OS: 8.3 months vs. not reached, p<0.0001; PFS: 2.9 vs. 10.4 months, p=0.0006). Moreover, ORR was significantly lower in the low AAPR group than in the high group (16% vs. 45%, p=0.0397). Multivariate analyses further showed that AAPR was an independent factor for OS [HR=0.27 (95% CI=0.09-0.77), p=0.0151] but not for PFS (p=0.174).

CONCLUSION

Baseline AAPR was significantly associated with outcome in patients with mRCC receiving nivolumab monotherapy and may, therefore, constitute an effective prognostic factor for nivolumab treatment.

Long-term survival outcomes and adverse effects of nasopharyngeal carcinoma patients treated with IMRT in a non-endemic region: a population-based retrospective study

OBJECTIVES

To evaluate the long-term survival outcomes and adverse effects of intensity-modulated radiotherapy (IMRT) for nasopharyngeal carcinoma (NPC) and to summarise the experiences of IMRT in NPC in the past few decades in non-endemic northwest China.

DESIGN

A population-based retrospective study.

SETTING

An experience of using IMRT in non-endemic region of China.

PARTICIPANTS

The study included 792 newly diagnosed and non-metastatic NPC patients who received IMRT from January 2006 to September 2018 in Xijing Hospital.

OUTCOME MEASURES

The survival outcomes, adverse effects and failure patterns were evaluated by univariate, multivariate and subgroup analyses.

RESULTS

With a median follow-up time of 46.2 months, the 5-year local recurrence-free survival, regional recurrence-free survival, distant metastasis-free survival, disease-free survival (DFS) and overall survival (OS) rates were 90.8%, 97.0%, 82.8%, 69.6% and 78.0%, respectively. Multivariate analysis showed that age, N stage, clinical stage, pathological type and primary tumour volume of more than 23 cm³ were the independent prognosis factors for DFS (all p<0.05); age, N stage, pathological type, cervical lymph node necrosis, and anaemia were significantly associated with OS (all p<0.05). The most common acute toxicities of IMRT were dermatitis, mucositis and dysphagia. Xerostomia and hearing impairment were the top two late toxicities. The main failure patterns were distant metastasis and local and/or regional relapses.

CONCLUSIONS

Similar survival, toxicities and failure patterns have been observed in patients treated with IMRT in a non-endemic area of China when compared with that in endemic areas. Induction chemotherapy combined with concurrent chemoradiotherapy may benefit locally advanced NPC in non-endemic areas of China.

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.

Albumin-to-alkaline phosphatase ratio: A novel prognostic index for patients with driver mutation-negative advanced non-small cell lung cancer

INTRODUCTION

Albumin-to-Alkaline Phosphatase Ratio (AAPR), a novel developed prognostic index for cancers. Chemotherapy was the only method for driver mutation-negative advanced non-small cell lung cancer (DANSCLC).

OBJECTIVES

To evaluate the clinical significance of AAPR in these patients.

METHODS

We retrospectively reviewed 167 DANSCLCs and 58 healthy controls. Associations of clinicopathological characteristics and survival analysis were conducted.

RESULTS

Significantly decreased AAPR level was uncovered in DANSCLC patients compared to healthy controls. The correlation analysis revealed that the low AAPR level in DANSCLCs was correlated with poor differentiation (P = .024). Cox regression analysis showed that N stage, M stage, and different levels of AAPR were the independent risk factors of PFS and OS. The median PFS and OS survival ratio in patients with high and low AAPR level was, respectively, 17 months and 8 months, and 23 months and 13 months. The AUC of AAPR for both PFS and OS were higher than that of albumin and alkaline phosphatase (p < 0.05). The low AAPR was associated with much shorter PFS and OS than the high AAPR (mPFS: 8 vs. 25 months; mOS: 12 vs. 36 months). In the AP cohort, the low AAPR group experienced significantly shorter PFS and OS than the high AAPR (mPFS: 7 vs. 25 months; mOS: 12 vs. 36 months). Meanwhile, there was no significance in lung squamous cell carcinoma (LUSC) patients and GP regimens cohort.

CONCLUSION

AAPR significantly decreased in patients with DANSCLC, and it affects the prognosis of patients with DANSCLC and is a biomarker for DANSCLCs prognosis and treatment choice.

Albumin-to-Alkaline Phosphatase Ratio: Does It Predict Survival in Grade 1 and Grade 2 Neuroendocrine Tumors?

OBJECTIVES

Neuroendocrine tumors (NETs) are very heterogeneous tumors. This study aimed to evaluate prognostic value of an albumin-to-alkaline phosphatase (ALP) ratio (AAPR) in well-differentiated NETs.

METHODS

A total of 110 patients were included in this study. Albumin-to-alkaline phosphatase ratio was calculated by dividing albumin concentration (g/dL) to ALP level (U/L). Cutoff value for AAPR was determined by receiver operating characteristic analysis. Survival analysis was performed by Kaplan-Meier method with the log-rank test. A P value of less than 0.05 was considered statistically significant.

RESULTS

The optimum cutoff value for AAPR was 0.028. Patients were divided into 2 groups as patients with AAPR of 0.028 or less (n = 22, 20%) and with AAPR of greater than 0.028 (n = 88, 80%). Patients with AAPR of greater than 0.028 had statistically longer overall survival compared with patients with 0.028 or less (not reached vs 96.8 months, P = 0.001). In addition, AAPR has been shown to be an independent prognostic factor for overall survival in multivariate analysis (hazard ratio, 3.99; 95% confidence interval, 1.26-12.61, P = 0.018).

CONCLUSIONS

Patients with higher AAPR had more favorable prognosis compared with patients with lower AAPR. We demonstrated that AAPR can be of prognostic value in well-differentiated NETs.

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.

Systemic Inflammation Response Index Is a Predictor of Poor Survival in Locally Advanced Nasopharyngeal Carcinoma: A Propensity Score Matching Study

Introduction

Nasopharyngeal carcinoma (NPC) is a common malignancy in China and known prognostic factors are limited. In this study, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), systemic immune inflammation index (SII), and systemic inflammation response index (SIRI) were evaluated as prognostic factors in locally advanced NPC patients.

Materials and Methods

NPC patients who received curative radiation or chemoradiation between January 2012 and December 2015 at the Second Xiangya Hospital were retrospectively reviewed, and a total of 516 patients were shortlisted. After propensity score matching (PSM), 417 patients were eventually enrolled. Laboratory and clinical data were collected from the patients' records. Receiver operating characteristic curve analysis was used to determine the optimal cut-off value. Survival curves were analyzed using the Kaplan-Meier method. The Cox proportional hazard model was used to identify prognostic variables.

Results

After PSM, all basic characteristics between patients in the high SIRI group and low SIRI group were balanced except for sex (p=0.001) and clinical stage (p=0.036). Univariate analysis showed that NLR (p=0.001), PLR (p=0.008), SII (p=0.001), and SIRI (p<0.001) were prognostic factors for progression-free survival (PFS) and overall survival (OS). However, further multivariate Cox regression analysis showed that only SIRI was an independent predictor of PFS and OS (hazard ratio (HR):2.83; 95% confidence interval (CI): 1.561-5.131; p=0.001, HR: 5.19; 95% CI: 2.588-10.406; p<0.001), respectively.

Conclusion

Our findings indicate that SIRI might be a promising predictive indicator of locally advanced NPC patients.

Prognostic Value of a Nomogram Based on the Dynamic Albumin-to-Alkaline Phosphatase Ratio for Patients with Extensive-Stage Small-Cell Lung Cancer

Purpose

Small-cell lung cancer (SCLC) is known as the characteristics of high invasion, rapid progression, and poor prognosis. Therefore, identification of patients with high risk of progression and death is critical to improve the survival of patients with extensive-stage SCLC (ES-SCLC). This study was designed to determine the prognostic importance of the albumin-to-alkaline phosphatase ratio (AAPR) in the survival of patients with ES-SCLC and to develop a nomogram based on AAPR dynamics for ES-SCLC prognosis.

Patients and Methods

Characteristics were reviewed from 300 patients with ES-SCLC. Training and validation cohorts included 200 and 100 patients, respectively. We applied univariate and multivariate Cox models to assess the prognostic value of AAPR for ES-SCLC. The nomogram for progression-free survival (PFS) and overall survival (OS) of ES-SCLC patients was developed based on the multivariate survival analysis of the training cohort. External validation of the established nomogram was performed using the validation cohort.

Results

N3 stage, thoracic radiotherapy, and post-AAPR were the independent factors identified for PFS. T stage, thoracic radiotherapy, and high post-AAPR were the independent risk factors identified for death. The prognostic nomogram was established by integrating the independent significant factors for PFS and OS in the training cohort with the c-indices of 0.675 and 0.662, respectively, and validated in the validation cohort. The nomogram had superior prognosis prediction ability than did TNM stage. Decision curve analysis (DCA) also indicated clinical net benefits from the nomogram.

Conclusion

AAPR was valuable for prognosis prediction in patients with ES-SCLC and was recommended to be dynamically evaluated to guide patient treatment. Additionally, the nomogram covering post-AAPR accurately predicted individual survival probability.

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.

Pretreatment albumin-to-alkaline phosphatase ratio as a prognostic indicator in solid cancers: A meta-analysis with trial sequential analysis

BACKGROUND

Albumin-to-alkaline phosphatase ratio (AAPR), a novel and economic serum biomarker, is associated with survival in patients with cancer. This study aimed to evaluate the potential role of AAPR as a prognostic indicator of solid cancers.

METHODS

This meta-analysis with trial sequential analysis of retrospective studies was designed to investigate the relationship between AAPR and overall survival (OS) in solid cancers. The meta-analysis included 5951 patients from 20 cohorts. The main predictor variable was AAPR, and the main outcome was OS. Statistical tests were performed using Stata 12.0, Revman 5.3, and R 3.6.1.

RESULTS

Compared to patients with a lower AAPR, those with a higher AAPR had a better OS (hazard ratio [HR]: 0.50; 95% confidence interval [CI]: 0.43-0.58; p < 0.001). Subgroup analysis by tumor type indicated that a higher AAPR was associated with a better OS in non-small cell lung cancer (HR: 0.45; 95% CI: 0.26-0.78; p < 0.001), small cell lung cancer (HR: 0.60; 95% CI: 0.44-0.82; p < 0.001), hepatocellular carcinoma (HR: 0.49; 95% CI: 0.34-0.69; p < 0.001), pancreatic ductal adenocarcinoma (HR: 0.47; 95% CI: 0.31-0.71; p < 0.001), and nasopharyngeal carcinoma (HR: 0.42; 95% CI: 0.21-0.85; p = 0.016).

CONCLUSION

Pretreatment AAPR may be a useful prognostic indicator in solid cancers.

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.

Albumin-to-alkaline phosphatase ratio serves as a prognostic indicator in unresectable pancreatic ductal adenocarcinoma: a propensity score matching analysis

BACKGROUND

Recent evidence suggests that albumin-to-Alkaline Phosphatase Ratio (AAPR) functions as a novel prognostic marker in several malignancies. However, whether it can predict the prognosis of unresectable pancreatic ductal adenocarcinoma (PDAC) remains unclear. Herein, we seek to investigate this possibility by a propensity score matching (PSM) analysis.

METHODS

This was a retrospective cohort study in which 419 patients diagnosed with unresectable PDAC and receiving chemotherapy were recruited. Patients were stratified based on the cutoff value of AAPR. The PSM analysis was performed to identify 156 well-balanced patients in each group for overall survival (OS) comparison and subgroup analysis. Univariate and multivariate analyses were carried out to examine the potential of AAPR to indicate the prognosis of unresectable PDAC. The prediction performance of conventional model and combined model including AAPR was compared using the Akaike Information Criterion (AIC) and concordance index (C-index).

RESULTS

We identified an AAPR of 0.4 to be the optimal cutoff for OS prediction. Patients with AAPR≤0.4 had significantly shorter OS compared with patients with AAPR> 0.4 (6.4 versus 9.3 months; P < 0.001). Based on the PSM cohort and entire cohort, multivariate Cox analysis revealed that high pretreatment for AAPR was an independent marker predicting favorable survival in unresectable PDAC (hazard ratio, 0.556; 95% confidence interval, 0.408 to 0.757; P < 0.001). Significant differences in OS were observed in all subgroups except for the group of patients age ≤ 60. Combined prognostic model including AAPR had lower AIC and higher C-index than conventional prognostic model.

CONCLUSIONS

Pretreatment AAPR servers as an independent prognostic indicator for patients with unresectable PDAC. Inclusion of AAPR improved the prediction performance of conventional prognostic model, potentially helping clinicians to identify patients at high risk and guide individualized treatment.

Albumin-to-Alkaline Phosphatase Ratio Associates with Good Prognosis of Hepatitis B Virus-Positive HCC Patients

Purpose

The aim of this study was to investigate the prognostic significance of preoperative AAPR in hepatitis B virus-related hepatocellular carcinoma patients after curative hepatectomy.

Patients and Methods

A total of 221 patients with hepatitis B virus-related HCC patients who received curative liver resection were included. After propensity matching analysis, 188 patients were enrolled in the final analysis. COX regression analyses were used to analyze the prognosis value of AAPR and other prognostic factors. The overall survival (OS) and recurrence-free survival (RFS) curves were constructed and compared between different groups.

Results

The optimal cutoff of AAPR was defined as 0.40 with X-tile software. According to cutoff value, patients were divided into low-AAPR group (≤0.40) and high-AAPR group (>0.40). The cumulative 1-, 3-, and 5-year OS rates were 97.1%, 78.2%, and 67.3% in patients with AAPR>0.40 group, respectively, which were significantly higher than those in the AAPR≤0.40 group (80.2%, 54.4%, and 40.1%, respectively) (P <0.001). In the multivariate COX regression analysis, AAPR, tumor number, ascites, and portal vein tumor thrombus (PVTT) were independent risk factors for OS and RFS.

Conclusion

AAPR shows promise as a reliable prognostic factor in patients with hepatitis B virus-related HCC after curative hepatectomy, which could be used as a routine inspection of HCC patients before surgery.

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.

Systemic chemotherapy and sequential locoregional radiotherapy in initially metastatic nasopharyngeal carcinoma: Retrospective analysis with 821 cases

BACKGROUND

We designed this retrospective study to explore the best treatment modality for patients with initially metastatic nasopharyngeal carcinoma (NPC).

METHODS

From 2008 to 2017, 821 patients were enrolled. Treatment modalities and prognostic factors were analyzed.

RESULTS

Compared with chemotherapy alone and radiotherapy-based treatment, systemic chemotherapy-sequential locoregional radiotherapy to the nasopharyngeal primary tumor site were associated with a significantly increased 3-year overall survival (OS) rate (40.3%, 11.7%, and 22.9%, P < .001). The overall response rate of the paclitaxel combined with platinum and fluorouracil (TPF) regimen as first-line chemotherapy was higher than that of the paclitaxel plus platinum (TP) regimen (78.2% vs 70.0%, P = .038). A better OS was achieved in the TPF group compared to doublet drug regimens (3-year OS, 35.7% vs 25.3%, P < .001).

CONCLUSIONS

Systemic chemotherapy-sequential locoregional radiotherapy may prolong OS and progression-free survival for selected patients with initially metastatic NPC.

The Value of Alkaline Phosphatase-to-Albumin Ratio in Detecting Synchronous Metastases and Predicting Postoperative Relapses among Patients with Well-Differentiated Pancreatic Neuroendocrine Neoplasms

Backgrounds

Pancreatic neuroendocrine neoplasm (pNEN) is a highly heterogeneous entity, presenting widely varied biological behavior as well as long-term prognosis. Reliable biomarkers are urgently needed to make risk stratifications for pNEN patients, which could be beneficial to the development of individualized therapeutic strategy in the clinical practice. Here, we aimed to evaluate the predictive and prognostic roles of serum alkaline phosphatase-to-albumin ratio (APAR) in well-differentiated pNEN patients.

Methods

We retrospectively analyzed the pathologically confirmed grade 1/2 pNEN patients, who were originally treated in our hospital from February 2008 to April 2018. Univariate and multivariate analyses were performed to assess the value of APAR in detecting synchronous metastases and predicting relapses following curative resections.

Results

A total of 170 eligible cases were included into analysis. Logistic univariate analysis indicated APAR (P=0.002) was significantly associated with synchronous distant metastasis among well-differentiated pNEN patients, which was further demonstrated to be an independent risk factor by multivariate analysis (odds ratio 8.127, 95% confidence interval (CI) 2.105–31.372, P=0.002) was significantly associated with synchronous distant metastasis among well-differentiated pNEN patients, which was further demonstrated to be an independent risk factor by multivariate analysis (odds ratio 8.127, 95% confidence interval (CI) 2.105–31.372, P=0.002) was significantly associated with synchronous distant metastasis among well-differentiated pNEN patients, which was further demonstrated to be an independent risk factor by multivariate analysis (odds ratio 8.127, 95% confidence interval (CI) 2.105–31.372, P=0.002) was significantly associated with synchronous distant metastasis among well-differentiated pNEN patients, which was further demonstrated to be an independent risk factor by multivariate analysis (odds ratio 8.127, 95% confidence interval (CI) 2.105–31.372, P=0.002) was significantly associated with synchronous distant metastasis among well-differentiated pNEN patients, which was further demonstrated to be an independent risk factor by multivariate analysis (odds ratio 8.127, 95% confidence interval (CI) 2.105–31.372,

Conclusion

APAR may work as a convenient pretreatment marker to detect synchronous distant metastasis for well-differentiated pNEN patients and predict recurrences for curatively resected cases without nerve or vascular invasion. However, these findings should be further verified in prospectively well-designed studies.

Prognostic role of pre-treatment serum albumin in patients with nasopharyngeal carcinoma: A meta-analysis and systematic review

BACKGROUND

Pre-treatment serum albumin (ALB) is a novel index that was identified in recent years and is considered to be closely related to the prognosis of nasopharyngeal carcinoma (NPC). However, the association between ALB and NPC remains controversial.

OBJECTIVE OF REVIEW

To assess the prognostic significance of pre-treatment serum ALB in patients with NPC.

TYPE OF REVIEW

A systematic review and meta-analysis.

SEARCH STRATEGY

We searched PubMed, the Cochrane Library and the Web of Science for studies published up to August 2018. The keywords used were related to albumin, nasopharyngeal carcinoma and prognosis.

EVALUATION METHOD

We extracted the following data from all included studies: author, publication year, country, cancer centre, time points of randomisation, sample size, mean or median age, gender, TNM stage of NPC, cut-off value of pre-treatment serum albumin, number of high-grade cases and duration of follow-up. Then, we generated the pooled hazard ratios (HR) for overall survival (OS) and distant metastasis-free survival (DMFS) to perform this meta-analysis.

RESULTS

Ten studies comprising 7339 cases were included. Lower pre-treatment serum ALB levels were significantly associated with worse OS (HR = 1.32, 95% CI 1.17-1.48) and DMFS (HR = 1.40, 95% CI 1.08-1.80). In general, our findings were further verified in the subgroup analyses based on three features, including cancer stage, cut-off value and analysis type.

CONCLUSION

A decreased level of pre-treatment serum albumin implies a poor prognosis and can be detected to define the risk stratification of NPC patients.

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.

Prognostic value of the albumin-to-alkaline phosphatase ratio on urologic outcomes in patients with non-metastatic renal cell carcinoma following curative nephrectomy

Background: Few studies focused on the relationship between the albumin-to-alkaline phosphatase ratio (AAPR) and the urologic outcomes in patients with non-metastatic renal cell carcinoma (RCC) following curative surgery. The aim of this study was to evaluate the prognostic value of preoperative AAPR in non-metastatic RCC patients. Methods: The prognostic value of AAPR was evaluated in a primary cohort with 419 non-metastatic RCC patients following curative radical or partial nephrectomy and then further validated in an independent cohort consisting of 204 patients. A nomogram was developed based on the independent predictors, and its predictive value was assessed. Results: Kaplan-Meier survival analysis demonstrated that patients with low AAPR levels were significantly associated with worse overall survival (OS) and cancer-specific survival (CSS) compared with patients with high AAPR levels both in two cohorts. Univariate and multivariate analyses revealed that low AAPR was an independent risk factor for OS (HR = 2.745; 95%CI, 1.266-5.953; P = 0.011) and CSS (HR = 3.042; 95%CI, 1.278-7.243; P = 0.012). Moreover, subgroup analysis (Fuhrman grade G1+G2 and Fuhrman grade G3+G4; T1+T2 stage and T3+T4 stage) revealed that low AAPR was also related to worse urological outcomes. Although no significant differences between patients with low AAPR and patients with high AAPR can be observed with regard to CSS under Fuhrman grade G1+G2 (P=0.058) and T1+T2 stage (P=0.318), there was a worse CSS trend in low AAPR patients. The established nomograms for OS and CSS were well calibrated and had moderate discriminative ability (concordance index: 0.821 and 0.839, respectively) Conclusions: Preoperative AAPR might be an independent prognostic factor in patients with non-metastatic RCC. The ratio should be applied in RCC patients for risk stratification and clinical decision-making.

Derivation and external validation of a model to predict 2-year mortality risk of patients with advanced schistosomiasis after discharge

To date, no risk prediction tools have been developed to identify high mortality risk of patients with advanced schistosomiasis within 2 years after discharge. We aim to derive and validate a risk prediction model to be applied in clinical practice. The risk prediction model was derived from 1487 patients from Jingzhou and externally validated by 723 patients of Huangshi, two prefecture-level cities in Hubei province, China (from September 2014 to January 2015, with follow-up to January 2017). The baseline variables were collected. The mean age [SD] was 62.89 [10.38] years for the derivation cohort and 62.95 [12.22] years for the external validation cohort. The females accounted for 36.3% and 43.7% of the derivation and validation cohorts, respectively. 8.27% patients (123/1487) in the derivation cohort and 7.75% patients (56/723) in the external validation cohort died within 2 years after discharge. We constructed 4 models based on the 7 selected variables: age, clinical classification, serum direct bilirubin (DBil), aspartate aminotransferase (AST), alkaline phosphatase (ALP), hepatitis B surface antigen (HBsAg), alpha fetoprotein (AFP) at admission. In the external validation cohort, the multivariate model including 7 variables had a C statistic of 0.717 (95% CI, 0.646–0.788) and improved integrated discrimination improvement (IDI) value and net reclassification improvement (NRI) value compared to the other reduced models.

Therefore, a multivariate model was developed to predict the 2-year mortality risk for patients with advanced schistosomiasis after discharge. It could also help guide follow-up, aid prognostic assessment and inform resource allocation.

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.

Albumin-to-alkaline phosphatase ratio at diagnosis predicts survival in patients with metastatic non-small-cell lung cancer

Background: Previous studies have reported that the albumin-to-alkaline phosphatase ratio (AAPR), a novel blood biomarker-based index, is associated with clinical outcome in several cancers. However, data relating to lung cancer are rare. This study was performed to clarify the clinical significance of AAPR in patients with metastatic non-small-cell lung cancer (NSCLC).

Methods: In total, 290 stage IV NSCLC patients were enrolled in this retrospective study. Associations between serum enzyme levels and clinical characteristics were analyzed using the Mann–Whitney U-test or chi-squared test. Kaplan–Meier survival analysis and Cox’s proportional hazard regression model were adopted to assess the prognostic value of AAPR for overall survival (OS).

Results: The optimal cut-off points for AAPR and lactate dehydrogenase (LDH) were 0.36 and 265.5 U/L, respectively. Patients with AAPR ≤0.36 had apparently longer survival than those with AAPR >0.36 (13 vs 7 months, P<0.001). Furthermore, AAPR was an independent predictor of OS in metastatic NSCLC in multivariate analysis (HR=0.657, 95% CI=0.504–0.856, P<0.01). The prognostic impact of LDH for survival of NSCLC populations was also validated in this study (HR=1.462, 95% CI=1.070–1.999, P<0.05).

Conclusion: Elevated AAPR can be an independent favorable prognostic indicator in metastatic NSCLC.

The prognostic value of the preoperative albumin to alkaline phosphatase ratio in patients with non-small cell lung cancer after surgery

BACKGROUND

To assess the potential prognostic value of the albumin to alkaline phosphatase ratio (AAPR) in patients with non-small cell lung cancer (NSCLC) after surgery.

METHODS

The log-rank and Kaplan-Meier analyses were performed to detect differences in survival levels between different groups. A model of Cox proportional hazards was used to perform univariate and multivariate survival analyses. Comparisons of receiver operating characteristic (ROC) curves and the likelihood ratio test (LRT) were also utilized to compare the prognostic abilities of different systems for overall survival (OS) prediction.

RESULTS

The optimal cut-off value of the preoperative AAPR was 0.64. A decreased AAPR was associated with several clinicopathological and clinicolaboratory variables related to cancer progression. The preoperative AAPR of patients was positively correlated with the poor prognosis of NSCLC. In multivariate analyses, the preoperative AAPR was identified as an independent prognostic factor for disease-free survival (DFS; P = 0.001) and overall survival (OS; P = 0.003). The LRT showed that the AAPR tumor-node-metastasis (TNM) system presented a significantly larger χ² value (112.4 vs. 89.2, respectively, P < 0.01) and a relatively smaller Akaike information criterion (AIC) value (2955 vs. 2977, respectively, P < 0.01) than the TNM staging system.

CONCLUSION

Preoperative AAPR was a potentially valuable prognostic factor in NSCLC patients who underwent surgery. Our results further showed that the AAPR-TNM system was superior to the current TNM staging system.

Prognostic impact of the pretreatment albumin to alkaline phosphatase ratio for nonmetastatic breast cancer patients

Introduction: Albumin and alkaline phosphatase have been previously demonstrated as independent prognostic factors for various types of cancer. Here, we aimed to explore the potential value of pretreatment albumin to alkaline phosphatase ratio (AAPR) on overall survival (OS) in nonmetastatic breast cancer patients. Methods: A total of 746 nonmetastatic breast cancer patients were enrolled in this study. Receiver characteristic curve was used to analyze the AAPR threshold. Survival analysis was conducted using the Kaplan-Meier method and compared with the log-rank test. Both univariate and multivariate analyses were performed using Cox proportional hazards regression methodology. Results: The optimal cutoff value of AAPR in predicting OS in nonmetastatic breast cancer patients was 0.525. Increased pretreatment AAPR level was related to age at diagnosis (≥60 years vs <60 years, P=0.000), tumor size (T≤2 cm vs T>2 cm, P=0.034), estrogen receptor (positive vs negative, P=0.022), progesterone receptor (positive vs negative, P=0.025), carcino-embryonic antigen (abnormal vs normal, P=0.016), surgery (lumpectomy vs mastectomy, P=0.002), chemotherapy (yes vs no, P=0.004), radiotherapy (yes vs no, P=0.013), endocrine therapy (yes vs no, P=0.027) but not with lymph node involvement, HER-2 status or CA-153. The 5-year OS rate was 80.16% for the low AAPR group and 92.66% for the high AAPR group. Kaplan-Meier analysis indicated that patients with low-AAPR levels had shorter OS than patients with high-AAPR levels (P=0.001). N classification (P<0.05), Ki-67 (HR=3.603, 95% CI=1.046-12.414, P=0.042) and AAPR (HR=0.447, 95% CI=0.205-0.976, P=0.043) were related to OS in multivariate analyses, respectively. Conclusion: AAPR is an independent prognostic factor for OS in nonmetastatic breast cancer patients. Further prospective studies are required to confirm our findings.

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

Purpose

We first analyzed the prognostic power of albumin-to-alkaline phosphatase ratio (AAPR) before radical radiotherapy (RT) in non-metastatic nasopharyngeal carcinoma (NPC) patients.

Materials and Methods

The records of 170 patients with biopsy-proven, non-metastatic NPC treated by radical RT between 1998 and 2016 at our institution were retrospectively reviewed. Median follow-up duration was 50.6 months. All patients received intensity-modulated RT and cisplatin based chemotherapy before, during, or after RT. The major treatment of patients was based on concurrent chemoradiotherapy (92.4%). The AAPR was calculated by the last value of both albumin and alkaline phosphatase within 1 month immediately preceding RT. The optimal cut-off level of AAPR was determined by using Cutoff Finder, a web-based system. Propensity score matching (PSM) analysis was performed.

Results

The optimal cut-off level of AAPR was 0.4876. After PSM analysis of whole cohort, an AAPR was not related to survival outcomes. In PSM analysis for patients with locoregionally advanced nasopharyngeal carcinoma (LA-NPC), an AAPR ≥ 0.4876 was related to better overall survival (OS), progression-free survival (PFS), and locoregional relapse–free survival (LRRFS) (OS: hazard ratio [HR], 0.341; 95% confidence interval [CI], 0.144 to 0.805; p=0.014; PFS: HR, 0.416; 95% CI, 0.189 to 0.914; p=0.029; and LRRFS: HR, 0.243; 95% CI, 0.077 to 0.769; p=0.016, respectively).

Conclusion

The AAPR, inexpensive and readily derived from a routine blood test, could be an independent prognostic factor for patients with LA-NPC. And it might help physicians determine treatment plans by identifying the patient's current status. Future prospective clinical trials to validate its prognostic value are needed.

The Predictive Value of Albumin-to-Alkaline Phosphatase Ratio for Overall Survival of Hepatocellular Carcinoma Patients Treated with Trans-Catheter Arterial Chemoembolization Therapy

Background: We have previously reported the prognostic value of the albumin-to-alkaline phosphatase ratio (AAPR) for advanced hepatocellular carcinoma (HCC) patients who are not receiving any standard anticancer therapy. However, the prognostic value of the AAPR for HCC patients treated with trans-catheter arterial chemoembolization therapy (TACE) was not investigated.

Methods: We retrospectively analysed 372 HCC patients treated with TACE (the training cohort) and applied receiver operating characteristic curves (ROC curves) to identify the best cut-off value for the AAPR in this cohort. Then, univariate analyses by the Kaplan-Meier method and multivariate analysis by a Cox proportional hazards regression model were conducted. Both comparisons of the ROC curves and the likelihood ratio test (LRT) were employed to evaluate the abilities of different factors in predicting the survival of patients in this cohort. Finally, the prognostic value of the AAPR was validated in two cohorts: one included 202 HCC patients treated with supportive care (validation cohort I), and the other included 82 HCC patients treated with TACE (validation cohort II).

Results: We identified 0.439 as the best cut-off value of the AAPR by ROC curve analysis. An AAPR > 0.439 was significantly correlated with a lower frequency of Child-Pugh grade B, portal vein tumour thrombus (PVTT), T3-4 and lymph node metastasis (P < 0.05). The median overall survival (OS) of the patients with an AAPR > 0.439 was significantly longer than that of those with an AAPR ≤ 0.439 (58.4 m vs 17.8 m, respectively, P < 0.001). The AAPR was identified as an independent prognostic factor after univariate and multivariate analyses (HR = 0.636, P = 0.003). The independent prognostic value of the AAPR was also confirmed in validation cohorts I and II. Additionally, we substituted the AAPR for the Child-Pugh grade in the CLIP system and integrated the AAPR into the TNM system. We found that the area under the curve (AUC) of the AAPR-CLIP system was significantly larger than that of the CLIP and the TNM when predicting 3-month, 6-month, 1-year and 2-year survival (P < 0.05). There was no significant difference between the AUCs for the AAPR-CLIP and the AAPR-TNM. The LRT suggested that both AAPR-CLIP and AAPR-TNM had significantly larger χ2 values and smaller AIC values than that of their corresponding primary system (P < 0.05).

Conclusions: The AAPR was an independent prognostic index for the HCC patients treated with TACE. Both AAPR-CLIP and AAPR-TNM outperformed their corresponding primary system in predicting OS in the current study.

The prognostic significance of Albumin-to-Alkaline Phosphatase Ratio in upper tract urothelial carcinoma

To assess the prognostic impact of pretreatment albumin-to-alkaline phosphatase ratio (AAPR) in patients with upper tract urothelial carcinoma (UTUC), the data of 692 patients, operated between 2003 and 2016 in our center, were retrospectively assessed. The threshold of AAPR was defined as 0.58 by using the receiver-operating curve analysis. Overall survival (OS), cancer-specific survival (CSS), and recurrence-free survival (RFS) were evaluated using the Kaplan-Meier method. And the univariate and multivariate Cox’s regression models were performed to identify independent prognostic predictors. The results showed that AAPR <0.58 was significantly related to higher pT stage and grade, concomitant variant histology, anemia and larger tumor size. Additionally, patients with a lower AAPR had an inferior survival outcomes than those with an AAPR ≥0.58 (all P < 0.001). Multivariate analysis suggested that the lower AAPR was also an independent risk factor for poor OS (HR 1.587, 95%CI: 1.185–2.126; P = 0.002), CSS (HR 1.746, 95%CI: 1.249–2.440; P = 0.001), and RFS (HR 1.337, 95%CI: 1.027–1.739; P = 0.031). Moreover, subgroup analysis demonstrated the lower AAPR was related to worse prognosis in high-grade UTUC patients; but in those with low-grade disease, no relationship between them was observed. In conclusion, our results found that the decreased AAPR was independently related to poor survival outcomes in UTUC patients. Using the AAPR for subclassification of high-grade UTUC seems to further identify a poor prognostic group and contribute to clinical decisions making.

Usefulness of simple biomarkers at admission as independent indicators and predictors of in-hospital mortality in older hip fracture patients

INTRODUCTION

The data on predictive value of the routinely obtained preoperative biochemical parameters in hip fracture (HF) patients are limited. The aims of this study were to examine in older HF patients (1) the relationships between a broad set of routine laboratory parameters at admission and in-hospital mortality, and (2) evaluate the prognostic value the biomarkers and clinical characteristics (alone or in combination) provide to predict a fatal outcome.

PATIENTS AND METHODS

In 1820 consecutive patients with low-trauma osteoporotic HF aged >60 years (mean age 82.8 ± 8.1 years; 76.4% women; 65% community-dwelling) 35 laboratory variables along with 20 clinical and socio-demographic characteristics at admission were analysed. The validation cohort included data on 455 older (≥60 years of age) HF patients (mean age 82.1 ± 8.0 years, 72.1% women).

RESULTS

The mortality rate was 6% (n = 109). On univariate analysis 14 laboratory and 8 clinical parameters have been associated with in-hospital mortality. Multiple regression analyses determined 7 variables at admission as independent indicators of a fatal outcome: 4 biomarkers (albumin <33 g/L; alanine aminotransferase/gamma-glutamyl transferase ratio [GGT/ALT] >2.5; parathyroid hormone [PTH] >6.8 pmol/L; 25(OH)vitamin D < 25 nmol/L) and 3 pre-fracture clinical conditions (history of myocardial infarction, chronic kidney disease [GFR <60 ml/min/1.73 m²] and chronic obstructive pulmonary disease); the area under the receiver operating characteristic curve (AUC) was 0.75 (95%CI 0.70-0.80). The risk of in-hospital death was 1.6-2.6 times higher in subjects with any of these risk factors (RFs), and increased by 2.6-6.0-fold in patients with any two RFs (versus no RFs). The mortality rate increased stepwise as the number of RFs increased (from 0.43% -none RF to 16.8%- ≥4RF). The prognostic value of a single RF was low (AUC ≤0.635) but combination of 2 or more RFs improved the prediction significantly; AUC reached 0.84(95%CI 0.77-0.90) when ≥4 RFs (versus 0-1RF) were present. In the validated and main cohorts the number of predicted by 1, 2, 3 or ≥4 RFs and observed deaths were practically similar.

CONCLUSIONS

In HF patients, seven easily identifiable at admission characteristics, including 4 biomarkers, are strong and independent indicators of in-hospital mortality and can be used for risk stratification and individualised management.

Albumin-to-Alkaline Phosphatase Ratio as an Independent Prognostic Factor for Overall Survival of Advanced Hepatocellular Carcinoma Patients without Receiving Standard Anti-Cancer Therapies

Background Albumin-to-Alkaline Phosphatase Ratio (ALB/ALP ratio, AAPR), a newly developed index of liver function, has been rarely discussed about its prognostic value in malignancies. The current study attempted to evaluate the prognostic prediction of AAPR in advanced HCC. Methods 237 advanced HCC patients who refused any standard anti-cancer therapies were retrospectively analyzed. The threshold value of AAPR was determined by receiver operating characteristic (ROC) curve. Univariate analyses using Kaplan-Meier method and log-rank test, and multivariate analysis using Cox proportional hazards regression model were conducted. Comparisons of ROC curves and likelihood ratio test (LRT) were utilized to compare the value of different factors in predicting survival. Results ROC curve analysis confirmed 0.38 as the optimal cutoff value of AAPR in evaluating overall survival (OS). Patients with an AAPR > 0.38 exhibited significantly lower frequencies of ascites, portal vein tumor thrombus, Child-Pugh grade B & C, and KPS < 70 (all P < 0.05). These patients also displayed a longer median survival time than those with an AAPR ≤ 0.38 (5.8 m vs 2.4 m, P < 0.01). Univariate and multivariate analyses identified AAPR as an independent prognostic indicator (HR = 0.592, P = 0.007). Furthermore, we integrated AAPR with TNM system and found that area under curve of AAPR-TNM system was significantly larger than that of TNM system when predicting 3-month survival (0.670 vs 0.611, P < 0.01). Moreover, LRT indicated that AAPR-TNM system had a significantly larger χ2 (26.4 vs 16.4, P < 0.01) and a significantly smaller Akaike information criterion value (1936 vs 1948, P < 0.01) comparing with TNM system. Conclusions Our study implied that AAPR was a potentially valuable prognostic index for advanced HCC patients without receiving any standard anti-cancer therapies. AAPR-TNM system preceded TNM system in predicting overall survival in this study.

Alkaline Phosphatase-To-Albumin Ratio as a Prognostic Indicator in Pancreatic Ductal Adenocarcinoma after Curative Resection

Background: The prognosis of pancreatic ductal adenocarcinoma (PDAC) remains poor and the models for survival prediction in PDAC patients after curative resection are still limited. Preoperative alkaline phosphatase-to-albumin ratio (APAR), an original inflammation-based score, has been established to analyze the prognostic significance in PDAC. Therefore, in this study, we aim to formulate a valuable prognostic nomogram for PDAC following curative resection.

Methods: A total of 354 patients with PDAC undergoing curative resection were retrospectively enrolled in this study. The prognostic value of APAR was analyzed in primary cohort containing 220 randomly selected PDAC patients with curative resection and prognostic nomogram incorporating APAR into the American Joint Commission on Cancer (AJCC) 8^th edition was established to obtain superior discriminatory abilities. The predictive performance of APAR was further validated in another independent cohort of 134 PDAC patients.

Results: Patients with higher serum APAR level were probable to sustain poorer overall survival (OS). Significant positive correlations were found between APAR and tumor site, and several serum biochemical indexes, such as aspartate aminotransferase (AST), alanine aminotransferase (ALT), etc. The results of multivariate analysis showed, APAR was also identified as an independent prognostic indicator for OS in both primary and validation cohorts (P=0.004, P=0.038, respectively). Compared with the AJCC 8^th edition, the nomogram consisting of APAR, pathological differentiation and the TNM staging system of AJCC 8^th edition showed superior predictive accuracy for OS. All these results were further verified in the validation cohort.

Conclusions: APAR can be considered as a novel independent prognostic biomarker for PDAC following curative resection. One more accurate and advanced predictive model will be achieved via the incorporation of APAR into nomogram.