Advanced Lung Cancer Inflammation Index Predicts Survival Outcomes of Patients With Oral Cavity Cancer Following Curative Surgery

The advanced lung cancer inflammation index is associated with mortality in peritoneal dialysis patients

BACKGROUND

There is still a very high morbidity and mortality rate for patients undergoing peritoneal dialysis (PD). The advanced lung cancer inflammation index (ALI) has been demonstrated to be associated with the prognosis in multiple types of cancers. Like in cancer, systemic chronic low-grade inflammation is one of the distinguishing features of PD patients. Therefore, we aimed to investigate the relationships between the ALI and all-cause and cardiovascular disease (CVD) mortality in PD patients.

METHODS

Patients who started PD at Shaoxing People's Hospital between 1 January 2013 and 31 December 2020 (n = 277) were recruited and followed up until 1 July 2023. They were divided into high-ALI group and low-ALI group according to the median of ALI. Kaplan-Meier curves and multivariate Cox regression analyses were used to assess the associations between the ALI and all-cause and CVD mortality. Receiver operating characteristic (ROC) curves were constructed, and the area under the curve (AUC) was calculated to determine the predictive power of the ALI for all- cause and CVD mortality.

RESULTS

During the median follow-up of 40.50 months (interquartile range, 26.42-59.77 months), a total of 55 patients died, 31 of whom died due to CVD. Kaplan-Meier curves revealed that patients in the low-ALI group had significantly lower cumulative and cardiovascular cumulative survival rates than did those in the high-ALI group (all P < 0.001). After we corrected for confounders, the risk of all-cause and CVD mortality was significantly greater in the low-ALI group than in the high-ALI group [hazard ratio (HR) 1.944, 95% confidence interval (CI) 1.068-3.540, P = 0.030, and HR 2.672, 95% CI 1.188-6.009, P = 0.017, respectively]. The predictive value of ALI (AUC = 0.708, 95% CI 0.630-0.786, P < 0.001) for all-cause mortality was superior to albumin (AUC = 0.644, 95% CI 0.556-0.726, P < 0.001), body mass index (AUC = 0.581, 95% CI 0.496-0.659, P = 0.069) and neutrophil-to-lymphocyte ratio (AUC = 0.675, 95% CI 0.596-0.754, P < 0.001).

CONCLUSION

A lower ALI is an independent risk factor for all-cause and cardiovascular mortality in PD patients. The ALI may be an effective indicator for predicting outcomes in PD patients.

Association of advanced lung cancer inflammation index with all-cause and cardiovascular mortality in US patients with rheumatoid arthritis

Introduction

As a systemic autoimmune disorder, the prognosis of rheumatoid arthritis (RA) is intricately linked to inflammation. This study aimed to investigate the association between the advanced lung cancer inflammation index (ALI), a comprehensive indicator of inflammation combined with nutritional status, and all-cause and cardiovascular mortality among patients diagnosed with RA.

Methods

The 2,305 RA patients from NHANES (2001-2018) included in the analysis were categorized into three groups according to ALI tertiles. Weighted Kaplan-Meier and multivariate COX regression analyses evaluated the relationship between ALI and mortality. The time-dependent characteristic curve (ROC) was used to assess the prediction accuracy of ALI.

Results

During a median follow-up of 7.92 years, 591 participants died from all causes, including 197 from cardiovascular diseases. Increased ALI was associated with a decreased probability of death. The full COX model revealed lower all-cause mortality hazard risks in the T2 (HR: 0.67, 95%CI: 0.54-0.83) and T3 (HR: 0.47 95%CI: 0.33-0.67, p for tend <0.001) groups compared to T1, and the risk of cardiovascular mortality was also lower in the groups of T2 (HR: 0.47, 95%CI: 0.31-0.70) and T3 (HR: 0.34, 95%CI: 0.19-0.62, p for trend <0.001). Furthermore, the ROC analysis underscored the strong predictive capability of ALI (AUC for 1-year all-cause and cardiovascular mortality were 0.73 and 0.79, respectively).

Conclusion

This cohort study demonstrated the higher accuracy of ALI in predicting mortality in RA patients, highlighting the important clinical value of ALI in risk assessment and prognosis evaluation.

Advanced lung cancer inflammation index predicts overall survival of hepatocellular carcinoma after hepatectomy

Aim

Limited data are available regarding ALI's clinical relevance and prognostic value in patients with hepatocellular carcinoma (HCC) after hepatectomy.

Materials and methods

HCC patients who received hepatectomy at the Meizhou People's Hospital from May 2011 to February 2022 were enrolled in the study cohort. The ALI was calculated as follows: ALI = BMI (kg/m2) × ALB (g/dL)/(absolute neutrophil count/absolute lymphocyte count). The primary outcome was overall survival (OS). The secondary outcome was cancer-specific survival (CSS). Univariate and multivariate Cox regression analyses were performed, followed by nomogram construction and decision curve analysis (DCA).

Results

425 HCC patients were enrolled for analyses. Lower preoperative ALI was significantly correlated with incomplete tumor capsule and advanced tumor stage. Lower preoperative ALI was an adverse independent prognostic factor for OS (HR: 1.512, 95% CI: 1.122-2.039, P 0.007) and CSS (HR: 1.754, 95% CI: 1.262-2.438, P <0.001) in HCC patients. The nomogram plot was built based on three (including age, TNM stage, and ALI) and two (including TNM stage and ALI) independent prognostic factors for OS and CSS, respectively. Further analyses indicated that the nomogram had better predictive value and some net benefit than the traditional TNM stage alone, especially in long-term OS.

Conclusions

Our study further indicated that ALI could be a prognostic marker for OS and CSS in HCC patients after hepatectomy, especially in long-term OS.

Combined influence of nutritional and inflammatory status and depressive symptoms on mortality among US cancer survivors: Findings from the NHANES

BACKGROUND

Inflammation and nutrition and depression are interrelated, and both are related to changes in mortality rates. We investigated the association of nutritional and inflammation index or depressive symptoms with the risk of all-cause mortality or cause-specific mortality among cancer survivors.

METHODS

A prospective cohort of a nationally representative sample of cancer survivors, aged 40 years or older (n = 2331; weighted population, 15 248 255; 67.6 ± 11.0 years; 50.6 % males), were recruited from the US National Health and Nutrition Examination Survey (NHANES) from 2005 to 2018. Advanced lung cancer inflammation index (ALI) reflected inflammation and nutritional status and Patient Health Questionnaire 9 (PHQ-9) demonstrated depressive symptoms. The independent and joint associations of ALI and PHQ-9 score with mortality outcomes were examined among cancer survivors and Cox regression analysis based on weights was used to calculate the relative risk.

RESULTS

We identified 605 all-cause deaths (cancer, 204; non-cancer, 401) over a median of 6.2 years of follow-up (15,385 person-years; interquartile range, 3.3-9.8 years). High ALI was observed to be consistently associated with lower risks of all-cause (hazard ratio [HR], 0.516; 95 % CI, 0.400-0.667) and non-cancer (HR, 0.414; 95 % CI, 0.291-0.588) mortality compared with low ALI in a series of adjusted models. Meanwhile, lower PHQ-9 score (0-4) was associated with lower risks of all-cause (HR, 0.686; 95 % CI, 0.521-0.903) and non-cancer (HR, 0.686; 95 % CI, 0.474-0.992) mortality compared with higher PHQ-9 score (≥10). Furthermore, joint analyses showed that high ALI was associated with a decreased risk of death among cancer survivors who were not depressive. Specifically, survivors with high ALI but not depressive symptoms had the lowest overall (HR, 0.404; 95 % CI, 0.228-0.715) risks.

CONCLUSION

In this cohort study, we observed impact of nutritional and inflammatory status and depressive symptoms on mortality among cancer survivors, with the lowest risks of death from both all causes and non-cancer being noted among the combination of high level ALI with no depression.

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.

The prognostic value of the advanced lung cancer inflammation index in patients with gastrointestinal malignancy

BACKGROUND

Systemic inflammation is crucial for the development and progression of cancers. The advanced lung cancer inflammation index (ALI) is considered to be a better indicator of systemic inflammation than current biomarkers. However, the prognostic value of the ALI in gastrointestinal neoplasms remains unclear. We performed the first meta-analysis to explore the association between ALI and gastrointestinal oncologic outcomes to help physicians better evaluate the prognosis of those patients.

METHODS

Eligible articles were retrieved using PubMed, the Cochrane Library, EMBASE, and Google Scholar by December 29, 2022. Clinical outcomes were overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), and cancer-specific survival (CSS).

RESULTS

A total of 18 articles with 6898 patients were included in this meta-analysis. The pooled results demonstrated that a low ALI was correlated with poor OS (HR = 1.914, 95% CI: 1.514-2.419, P < 0.001), DFS (HR = 1.631, 95% CI: 1.197-2.224, P = 0.002), and PFS (HR = 1.679, 95% CI: 1.073-2.628, P = 0.023) of patients with gastrointestinal cancers. Subgroup analysis revealed that a low ALI was associated with shorter OS (HR = 2.279, 95% CI: 1.769-2.935, P < 0.001) and DFS (HR = 1.631, 95% CI: 1.197-2.224, P = 0.002), and PFS (HR = 1.911, 95% CI: 1.517-2.408, P = 0.002) of patients with colorectal cancer. However, the ALI was not related to CSS in the patients with gastrointestinal malignancy (HR = 1.121, 95% CI: 0.694-1.812, P = 0.640). Sensitivity analysis supported the stability and dependability of the above results.

CONCLUSION

The pre-treatment ALI was a useful predictor of prognosis in patients with gastrointestinal cancers.

Discovering the Clinical and Prognostic Role of Pan-Immune-Inflammation Values on Oral Cavity Squamous Cell Carcinoma

A newly introduced pan-immune-inflammation value (PIV) was not evaluated for its role in oral cavity squamous cell carcinoma (OSCC). In this study, the PIV was calculated with the following equation (neutrophil count × platelet count × monocyte count)/lymphocyte count from the results of the automated hematology analyzers in 853 OSCC patients from 2005 to 2017. The optimal cutoff for the preoperative PIV was 268, as determined by a receiver operating characteristic curve. Significant differences were observed for alcohol consumption, smoking, pT status, pN status, overall pathological status, extranodal extension, cell differentiation, depth of invasion, and perineural invasion between higher and lower PIV patients (all p values < 0.05). Kaplan-Meier and univariate regression analyses indicated that higher PIV was associated with worse overall survival, disease-free survival, locoregional recurrence-free survival, and distant metastasis-free survival (all p values < 0.001). Multivariate analyses adjusted by various factors further demonstrated that PIV was an independent prognostic factor for overall and distant metastasis-free survival (p = 0.027, HR: 1.281 and p = 0.031, HR: 1.274, respectively). In conclusion, a higher PIV level was associated with poor clinicopathological factors in OSCC patients and could be used to predict poor posttreatment outcomes, especially for overall and distant metastasis-free survival.

Evaluation of the Prognostic Capacity of a Novel Survival Marker in Patients with Sinonasal Squamous Cell Carcinoma

Sinonasal squamous cell carcinoma (SNSCC) is a malignant tumor associated with poor survival, and easily obtainable prognostic markers are of high interest. Therefore, we aimed to assess the prognostic value of a novel survival index (SI) combining prognostic values of clinical (T and N classifications and invasion across Ohngren’s line), inflammatory (neutrophil-to-lymphocyte ratio), and nutritional (albumin and body-mass index) markers. All patients with primarily treated SNSCC between 2002 and 2020 (n = 51) were included. Each of the six SI components was stratified into a low- (0) and high-risk (1) categories. Subsequently, the cohort was stratified into low- (SI of 0–2) and high-risk SI groups (SI of 3–6). Overall survival (OS) and disease-free survival (DFS) were compared between patients with low- and high-risk SI. The log-rank test was used to test for statistical significance. Overall, the mortality rate was 41.2% (n = 21), and the recurrence rate was 43.1% (n = 22). We observed significantly better OS in patients with low-risk SI (n = 24/51, 47.1%, mean OS: 7.9 years, 95% confidence interval (CI): 6.3–9.6 years) than in high-risk SI (n = 27/51, 52.9%, mean OS: 3.4 years, 95% CI: 2.2–4.5 years; p = 0.013). Moreover, we also showed that patients with low-risk SI had a longer DFS than patients with high-risk SI (mean DFS: 6.4, 95% CI: 4.8–8.0 vs. mean DFS: 2.4 years, 95% CI 1.3–3.5, p = 0.012). The SI combines the prognostic capacity of well-established clinical, radiologic, inflammatory, and nutritional prognosticators and showed prognostic potential in our cohort of SNSCC patients.

The prognostic value of the advanced lung cancer inflammation index (ALI) for patients with neuroblastoma

Objective

The advanced lung cancer inflammation index (ALI) can predict the survival of patients with lung cancer and other malignancies. However, the prognostic significance of ALI in neuroblastoma has not been reported. This study aimed to evaluate the correlation between ALI and neuroblastoma patient prognosis.

Methods

We retrospectively analyzed the data of 72 neuroblastoma patients treated between January 2014 and August 2020. ALI calculation: Body mass index (BMI) × serum albumin (ALB)/neutrophil-to-lymphocyte ratio (NLR). The optimal cutoff points of prognostic biomarkers were determined by generating receiver operating characteristic (ROC) curves. According to the cutoff value, the patients were categorized into low or high ALI groups. The chi-square test was used to compare clinical parameters between the two groups. Potential prognostic factors associated with overall survival (OS) were assessed using Kaplan–Meier and Cox regression analyses.

Results

The optimal cutoff value of ALI was 49.17. The low ALI group showed more severe clinical characteristics and poorer survival rates. Univariate and multivariate Cox analyses suggested that ALI and the International Neuroblastoma Staging System (INSS) stage were independent prognostic factors for neuroblastoma patients.

Conclusions

Low ALI is associated with poor prognosis in neuroblastoma patients. ALI may be an independent prognostic biomarker for neuroblastoma.