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

Nonlinear association of alkaline phosphatase-to-albumin ratio with all-cause and cancer mortality: Evidence from NHANES 2005 to 2016

The relationship between the alkaline phosphatase-to-albumin ratio (APAR) and mortality remains unclear. This research looked into the association between APAR levels and cause-specific mortality in US adults. A cohort of 7561 participants from National Health and Nutrition Examination Survey (2005-2016) was analyzed, with mortality outcomes collected from National Death Index records. Cox proportional hazards models and restricted cubic spline (RCS) analysis were utilized to determine hazard ratio (HR) and reveal the nonlinear relationship between APAR levels and mortality. Inflection points were calculated using a recursive algorithm. Followed for an average 99.41 months, a total of 1048 deaths occurred, including 200 cancer deaths and 348 cardiovascular disease-related deaths. Following multivariate adjustment, significant associations were observed between APAR levels and increased all-cause (HR 1.50, 95% CI 1.28-1.75, P < .001) and cardiovascular disease (HR 1.39, 95% CI 1.06-1.82, P = .018) mortality. Furthermore, nonlinear correlations between APAR levels and all-cause and cancer mortality were revealed, characterized by an L-shaped pattern, with mortality rates stabilizing at 1.289 and 2.167, respectively. Participants with APAR levels above the inflection point exhibited a 29.2% increase in all-cause mortality risk per unit increase in APAR levels (HR 1.292, 95% CI 1.217-1.372, P < .001), and a 38.3% increase in cancer mortality risk (HR 1.383, 95% CI 1.199-1.596, P < .001). This study demonstrated nonlinear associations between APAR levels and all-cause and cancer mortality. Thresholds of 1.289 and 2.167 might serve as potential targets for APAR to reduce all-cause and cancer mortality, respectively. Our findings suggest that APAR can be a valuable prognostic tool for clinical mortality risk assessments, helping to identify individuals at higher risk. Nevertheless, these findings necessitate validation through large-scale clinical trials for further substantiation.

Association between alkaline phosphatase to albumin ratio and mortality among patients with sepsis

The alkaline phosphatase-to-albumin ratio (APAR) is correlated to worse prognosis in coronary artery disease, cancer, and acute renal failure. However, the relationship between APAR and sepsis prognosis has received little research. The content of this research was to investigate the prognostic relationship between APAR and sepsis. And validate the stability of the correlation in 90-days and 1-year mortality. Retrospective cohort research was conducted basing MIMIC-IV database (version 2.0). The hazard ratio (HR) and 95% confidence interval (Cl) were computed using multivariate Cox regression analysis. In addition, plots of survival curves and subgroup analyzes were conducted. Receiver operating characteristic (ROC) curves were also used. 9741 participants were included in this investigation. The 90-days mortality was 32.8%, and the 1-year mortality was 42.0%. After controlling for confounders, the adjusted HRs (95% CI) for tertile 2 (2.2-3.8) and tertile 3 (> 3.8) were 1.37 (1.25-1.51) and 1.74 (1.58-1.91), respectively. The Kaplan-Meier curve analysis showed a higher probability of 90-days death in the higher APAR group. The area under the curve (AUC) of APAR was 0.674 and could reach 0.709 after combining the Oxford Acute Severity of Illness Score (OASIS). This study demonstrates that APAR is significantly related to bad clinical outcomes in sepsis.

Clinical role of pretreatment albumin-to-alkaline phosphatase ratio in lung cancer: a meta-analysis

The association between pretreatment albumin-to-alkaline phosphatase ratio (AAPR) and clinicopathological parameters and prognosis in lung cancer is unclear. The study aimed to identify the clinical role of pretreatment AAPR among lung cancer patients. Several databases were searched for relevant studies. The primary outcome and secondary outcome were long-term survival including the overall survival (OS) and progression-free survival (PFS) and clinicopathological characteristics, respectively. The hazard ratios (HRs) and relative risks (RRs) with 95% confidence intervals (CIs) were combined. A total of 11 publications involving 10,589 participants were included in this meta-analysis. The pooled results manifested that a lower pretreatment AAPR predicted poorer OS (HR = 0.65, 95% CI 0.59-0.71, P < 0.001) and PFS (HR = 0.68, 95% CI 0.59-0.78, P < 0.001). Furthermore, subgroup analysis for the OS and PFS based on the pathological type and treatment showed similar results and pretreatment AAPR was significantly associated with worse prognosis. Besides, pretreatment AAPR was significantly associated with male (RR = 1.08, 95% CI 1.03-1.13, P < 0.001), poor differentiation (RR = 1.33, 95% CI 1.03-1.73, P = 0.029), advanced T stage (RR = 1.25, 95% CI 1.03-1.52, P = 0.026), N stage (RR = 1.34, 95% CI 1.15-1.55, P < 0.001) and TNM stage (RR = 1.14, 95% CI 1.06-1.223, P < 0.001). Therefore, pretreatment AAPR is significantly related to prognosis and tumor stage in lung cancer and patients with a lower pretreatment AAPR are more likely to experience poor survival and advanced tumor stage.

Prognostic value of preoperative albumin-to-alkaline phosphatase ratio in patients with surgically treated urological cancer: a systematic review and meta-analysis

Objective

A novel albumin-to-alkaline phosphatase ratio (AAPR) is associated with the prognosis of several cancers. In the present study, we evaluate the prognostic significance of perioperative AAPR in urological cancers.

Method

Relevant studies were searched comprehensively from CNKI, PubMed, Embase and Web of Science up to March 2023. The pooled hazard ratio (HR) and 95% confidence interval (CI) were extracted from each study to evaluate the prognostic value of perioperative AAPR in patients with surgically treated urological cancers.

Results

A total of 8 studies consisting of 3,271 patients were included in the final results. A low AAPR was significantly associated with a worse OS (HR=2.21; P<0.001), CSS (HR=2.61; P<0.001) and RFS/DFS (HR=2.87; P=0.001). Stratified by disease, a low AAPR was also associated with worse OS in renal cell carcinoma (HR=2.01; P<0.001), bladder cancer (HR=3.37; P<0.001) and upper tract urothelial carcinoma (HR=1.59; P=0.002).

Conclusion

In conclusion, low AAPR could serve as an unfavorable factor in patients with surgically treated urological cancers. Stratified by tumor type, the low AAPR was also associated with inferior survival. While more prospective and large-scale studies are warranted to validate our findings.

Do alkaline phosphatases have great potential in the diagnosis, prognosis, and treatment of tumors?

Alkaline phosphatase (ALP) is a group of enzymes that catalyze hydrolysis of phosphate esters at an alkaline pH, resulting in the generation of inorganic phosphate. These enzymes are widely distributed, and their activity is found in various tissues including bone, liver, intestine, and placenta. However, abnormalities in ALP expression and activity have been observed in certain types of cancer. In some cases, elevated serum levels of ALP are observed in patients with liver and bone metastasis. In other cases, increased levels of ALP have been observed in patients with pancreatic and lung cancer. On the other hand, low expression of ALP has also been associated with poor prognosis in patients with certain types of tumors, including colorectal cancer (CRC), breast cancer, and non-small cell lung cancer (NSCLC). In these cases, low ALP activity may be associated with decreased differentiation of cancer cells and increased cancer cell proliferation. Overall, the role of ALP in cancer is complex and context-dependent. This article reviews application progress of ALP in cancer, and we hypothesize that ALP might be a potential tumor biomarker, combined detection of aspartate aminotransferase (AST)/alanine aminotransferase (ALT), bone-specific alkaline phosphatase (BSAP), carbohydrate antigen 19-9 (CA 19-9), lactate dehydrogenase (LDH) and ALP isozymes levels can be used for more accurate diagnosis of a particular tumor. Further research is needed to better understand the mechanisms underlying ALP dysregulation in cancer and to identify potential therapeutic targets.

Interpretations of the Role of Plasma Albumin in Prognostic Indices: A Literature Review

This review assesses how publications interpret factors that influence the serum or plasma albumin (PA) level in prognostic indices, focusing on inflammation and nutrition. On PubMed, a search for "albumin AND prognosis" yielded 23,919 results. From these records, prognostic indices were retrieved, and their names were used as search strings on PubMed. Indices found in 10 or more original research articles were included. The same search strings, restricted to "Review" or "Systematic review", retrieved yielded on the indices. The data comprised the 10 latest original research articles and up to 10 of the latest reviews. Thirty indices had 294 original research articles (6 covering two indices) and 131 reviews, most of which were from recent years. A total of 106 articles related the PA level to inflammation, and 136 related the PA level to nutrition. For the reviews, the equivalent numbers were 54 and 65. In conclusion, more publications mention the PA level as a marker of nutrition rather than inflammation. This is in contrast to several general reviews on albumin and nutritional guidelines, which state that the PA level is a marker of inflammation but not nutrition. Hypoalbuminemia should prompt clinicians to focus on the inflammatory aspects in their patients.

Blood biomarkers in the application of diagnosis and prediction of overall survival for 1089 patients with nasopharyngeal carcinoma

Previous studies have indicated that some blood metrics play a crucial role in the diagnostic and prognostic values of various solid tumours. However, their comprehensive and unbiased comparison for nasopharyngeal carcinoma (NPC) has not been performed. Twenty blood metrics evaluated in tumours or noncancerous diseases were selected. We selected 1089 patients with NPC and analyzed the relationship between these metrics, clinical characteristics, and overall survival (OS). The albumin and prognostic nutritional index (PNI) exhibited a high area under the curve (AUC) value (> 0.7) together with high "sensitivity (Sen) + specificity (Spe) (> 1.5)" or Youden index (> 0.5) when compared to healthy populations. In comparing NPC and nasal polyps, 9 of 20 blood metrics showed a high AUC value (> 0.7). However, only the PNI and international normalised ratio show a sufficiently high Sen + Spe or Youden Index. None of them could distinguish the status of the TNM classification well. Only the lymphocyte-to-monocyte ratio (LMR) could predict the OS of patients with NPC (cut-off, 4.91; p = 0.0069). Blood metrics as non-invasive biomarkers are valuable tools for clinical management. Among these indicators, PNI is the most ideal indicator to distinguish NPC from healthy and nasal polyps. The LMR has good prognostic value.

Prognostic value of combined pre- and postoperative albumin-to-alkaline phosphatase ratio for patients with hepatocellular carcinoma undergoing trans-catheter chemoembolisation

AIM

To reveal the prognostic value of the postoperative and dynamic albumin-to-alkaline phosphatase ratio (AAPR) in hepatocellular carcinoma (HCC) patients undergoing trans-catheter chemoembolisation (TACE).

MATERIALS AND METHODS

In total, 545 HCC patients undergoing initial TACE were enrolled into the study. The receiver operating characteristic (ROC) curve was plotted to determine the best cut-off for AAPR. Univariate and multivariate Cox regression analyses were used to confirm the independent prognostic effect of AAPR on overall survival (OS). The predictive performance of AAPR was assessed by ROC curves, concordance index (C-index), and Akaike information criterion (AIC), and was compared to existing liver function assessment systems.

RESULTS

The optimal cut-off value for the AAPR was 0.26. Elevated AAPR (>0.26) was associated with a low risk of death after adjustment whether before (HR: 0.53; 95% CI: 0.4-0.69) or after (HR: 0.64; 95% CI: 0.43-0.95) TACE treatment. The combined pre- and postoperative AAPR showed much better performance in ROC curve (1-, 3-, and 5-year AUCs: 0.69, 0.71, 0.69), C-index (0.65; 95% CI: 0.59-0.72) and AIC analyses than pre-AAPR and post-AAPR alone or liver function assessment systems.

CONCLUSION

This study demonstrated both preoperative and postoperative AAPR were independent prognostic factors for HCC patients undergoing TACE. In addition, the combined pre- and post-AAPR showed better predictive performance than pre-AAPR and post-AAPR alone or liver function assessment systems.

Construction of Brain Metastasis Prediction Model and Optimization of Prophylactic Cranial Irradiation Selection for Limited-Stage Small-Cell Lung Cancer

Prophylactic cranial irradiation (PCI), as an essential part of the treatment of limited-stage small-cell lung cancer (LS-SCLC), inevitably leads to neurotoxicity. This study aimed to construct a brain metastasis prediction model and identify low-risk patients to avoid PCI; 236 patients with LS-SCLC were retrospectively analyzed and divided into PCI (63 cases) and non-PCI groups (173 cases). The nomogram was developed based on variables determined by univariate and multivariate analyses in the non-PCI group. According to the cutoff nomogram score, all patients were divided into high- and low-risk cohorts. A log-rank test was used to compare the incidence of brain metastasis between patients with and without PCI in the low-risk and high-risk groups, respectively. The nomogram included five variables: chemotherapy cycles (ChT cycles), time to radiotherapy (RT), lactate dehydrogenase (LDH), pro-gastrin-releasing peptide precursor (ProGRP), and lymphocytes−monocytes ratio (LMR). The area under the receiver operating characteristics (AUC) of the nomogram was 0.763 and 0.782 at 1 year, and 0.759 and 0.732 at 2 years in the training and validation cohorts, respectively. Based on the nomogram, patients were divided into high- and low-risk groups with a cutoff value of 165. In the high-risk cohort, the incidence of brain metastasis in the non-PCI group was significantly higher than in the PCI group (p < 0.001), but there was no difference in the low-risk cohort (p = 0.160). Propensity score-matching (PSM) analysis showed similar results; the proposed nomogram showed reliable performance in assessing the individualized brain metastasis risk and has the potential to become a clinical tool to individualize PCI treatment for LS-SCLC.