Prognostic Significance of the L3 Skeletal Muscle Index and Advanced Lung Cancer Inflammation Index in Elderly Patients with Esophageal Cancer

A propensity‑matched analysis of the prognostic value of advanced lung cancer inflammation index in patients with gastric cancer after curative resection

The prognostic significance of inflammation, immune response and nutritional status in patients with cancer is well-documented. The advanced lung cancer inflammation index (ALI) has emerged as a novel prognostic indicator, reflecting both inflammation and nutritional status. This study aimed to assess the prognostic relevance of preoperative ALI in patients with gastric cancer (GC). Data of 459 patients who underwent curative gastrectomy for GC between December 2013 and November 2017 at the Kanagawa Cancer Center (Yokohama, Japan) were retrospectively analyzed. Preoperative ALI was calculated from blood tests. Patients were divided into the high- and low-ALI groups. This study investigated the association between preoperative ALI, clinicopathological features, overall survival (OS) and relapse-free survival (RFS) after propensity-matched analysis. Comparative analysis revealed that patients in the low-ALI group tended to be older, were predominantly female, had lower body mass index and had a higher incidence of lymphatic invasion compared with those in the high-ALI group before propensity-matched analysis. Notably, the low-ALI group exhibited significantly reduced OS and RFS post-gastrectomy (85.5% vs. 93.8%, P=0.01; and 82.1% vs. 91.8%, P=0.02, respectively). Multivariate analysis identified low ALI as an independent prognostic factor for both OS and RFS. In conclusion, preoperative ALI could provide a valuable prognostic tool for patients with GC undergoing curative resection, offering insights into patient survival outcomes based on their inflammatory and nutritional status.

Diagnostic Value of Nutritional Risk Index and Other Indices for Predicting Sarcopenia in the Middle-Aged and Elderly Population of China Without Cancer: A ROC Curve Analysis

Background

Emerging evidence suggests that systemic inflammatory and nutritional biomarkers, along with derived indices, could serve as predictors for sarcopenia in cancer population. This study aimed to compare these predictors, focusing on the nutritional risk index (NRI) and evaluate its diagnostic value, for sarcopenic patients without cancer.

Methods

This cross-sectional retrospective study included 1674 participants. Sarcopenia is defined by skeletal muscle mass index (SMI). Laboratory data reflected the values of systemic inflammatory and nutritional biomarkers, from which the derived indices were calculated. Multiple logistic regression analysis, ROC curve analysis, and the Youden index were utilized to assess the association between these markers and sarcopenia and determine the cutoff value for predicting sarcopenia.

Results

Among all participants (1110 men and 564 women, mean age 61.97 ± 9.83 years), 398 individuals were diagnosed with sarcopenia, indicating a prevalence of 23.78% in China's middle-aged and elderly population without cancer. Logistic regression analysis revealed significant associations between all biomarkers and derived indices with sarcopenia. Following adjustment for potential confounders, lower NRI values were significantly associated with a higher incidence of sarcopenia. For sarcopenia diagnosis, the area under the curve (AUC) for NRI was 0.769 ([95% CI, 0.742, 0.796], P < 0.001), with a cutoff value of 106.016, sensitivity of 75.6% and specificity of 66.1%. NRI demonstrated greater predictive advantage for sarcopenia incidence in men compared to women.

Conclusion

A lower NRI value was associated with a higher prevalence of sarcopenia. NRI shows promise for early, rapid, and effective sarcopenia screening, particularly in China's middle-aged and elderly male population without cancer.

Correlation between sarcopenia and esophageal cancer: a narrative review

BACKGROUND

In recent years, the research on the relationship between sarcopenia before and after the treatment of esophageal cancer, as well as its impact on prognosis of esophageal cancer, has increased rapidly, which has aroused people's attention to the disease of patients with esophageal cancer complicated with sarcopenia. This review examines the prevalence of sarcopenia in patients with esophageal cancer, as well as the relationship between sarcopenia (before and after surgery or chemotherapy) and prognosis in patients with esophageal cancer. Moreover, we summarized the potential pathogenesis of sarcopenia and pharmacologic and non-pharmacologic therapies.

METHODS

A narrative review was performed in PubMed and Web of Science using the keywords ("esophageal cancer" or "esophageal neoplasm" or "neoplasm, esophageal" or "esophagus neoplasm" or "esophagus neoplasms" or "neoplasm, esophagus" or "neoplasms, esophagus" or "neoplasms, esophageal" or "cancer of esophagus" or "cancer of the esophagus" or "esophagus cancer" or "cancer, esophagus" or "cancers, esophagus" or "esophagus cancers" or "esophageal cancer" or "cancer, esophageal" or "cancers, esophageal" or "esophageal cancers") and ("sarcopenia" or "muscular atrophy" or "aging" or "senescence" or "biological aging" or "aging, biological" or "atrophies, muscular" or "atrophy, muscular" or "muscular atrophies" or "atrophy, muscle" or "atrophies, muscle" or "muscle atrophies"). Studies reporting relationship between sarcopenia and esophageal cancer were analyzed.

RESULTS

The results of the review suggest that the average prevalence of sarcopenia in esophageal cancer was 46.3% ± 19.6% ranging from 14.4 to 81% and sarcopenia can be an important predictor of poor prognosis in patients with esophageal cancer. Patients with esophageal cancer can suffer from sarcopenia due to their nutritional deficiencies, reduced physical activity, chemotherapy, and the effects of certain inflammatory factors and pathways. When classic diagnostic values for sarcopenia such as skeletal muscle index (SMI) are not available clinically, it is also feasible to predict esophageal cancer prognosis using simpler metrics, such as calf circumference (CC), five-count sit-up test (5-CST), and six-minute walk distance (6MWD).

CONCLUSIONS

Identifying the potential mechanism of sarcopenia in patients with esophageal cancer and implementing appropriate interventions may hold the key to improving the prognosis of these patients.

The predictive value of advanced lung cancer inflammation index for short-term outcomes and prognosis of colorectal cancer patients who underwent radical surgery

PURPOSE

The purpose of this study was to investigate the predictive value of advanced lung cancer inflammation index (ALI) for short-term outcomes and prognosis of colorectal cancer (CRC) patients who underwent radical surgery.

METHODS

CRC patients who underwent radical resection were included from Jan 2011 to Jan 2020 in our single clinical centre. Short-term outcomes, overall survival (OS), and disease-free survival (DFS) were compared in different groups. Cox analysis was conducted to identify independent risk factors for OS and DFS.

RESULTS

A total of 4010 patients who underwent radical CRC surgery were enrolled in the current study. As a result, the low ALI group had longer operation time (p = 0.02), more intra-operative blood loss (p < 0.01), longer postoperative hospital stay (p < 0.01), and more overall complications (p < 0.01). Moreover, ALI (p < 0.01, OR = 0.679, 95% CI = 0.578-0.798) was an independent risk factor for overall complications. As for survival, the low ALI group had worse OS in all TNM stages (p < 0.01), stage II (p < 0.01) and stage III (p < 0.01). Similarly, the low ALI group had worse DFS in all TNM stages (p < 0.01), stage II (p < 0.01), and stage III (p < 0.01). In Cox analysis, ALI was an independent risk factors for OS (p < 0.01, HR = 0.707, 95% CI = 0.589-0.849) and DFS (p < 0.01, HR = 0.732, 95% CI = 0.622-0.861).

CONCLUSION

Lower ALI was associated with more postoperative complications, worse OS, and DFS for CRC patients who underwent radical surgery. Furthermore, ALI was an independent risk factor for overall complications, OS, and DFS. Surgeons should pay close attention to patients with low ALI before surgery and make clinical strategies cautiously.

Prognostic value of the combined effect of nutritional status and body water component in patients with colorectal cancer

The aim of this study was to explore the impact of Geriatric Nutritional Risk Index (GNRI) and body water component (BWC) on the survival of colorectal cancer (CRC) patients and whether the combined effect had a potential prognostic and predictive efficacy. We evaluated the accuracy of GNRI for malnutrition and estimated the predictive capacity of BWC for survival. Kaplan-Meier survival curves and cox regression analyses were used to examine the prognostic effects. A nutrition-water score (NWS) model was developed and evaluated the survival predictive power. GNRI and extracellular water-to-intracellular water ratio (ECW/ICW) were integrated, with the cut-off values of 103.5 and 63.7%. Lower GNRI and higher ECW/ICW were independent risk factors for poor prognosis in CRC patients. The combination of the two into the NWS model demonstrated a higher risk of death for patients with NWS ≥ 1 compared to those with NWS of 0. NWS showed a better predictive capability compared to GNRI and ECW/ICW, with the concordance index of 0.681. Our study demonstrates GNRI and ECW/ICW's prognostic utility in CRC, with their combination improving survival prediction to help guide patient-centered treatment.

Development and validation of a nomogram based on multiple preoperative immunoinflammatory indexes for survival prediction in patients with stage IA-IB endometrial cancer

OBJECTIVES

To evaluate the preoperative systemic immune-inflammation index (SII), advanced lung cancer inflammation index (ALI), neutrophil to lymphocyte ratio (NLR), and prognostic nutritional index (PNI) capacity to predict the prognosis of stage IA-IB endometrial carcinoma (EC) patients after operation, and establish a nomogram model to guide clinical practice.

METHODS

A total of 387 patients with EC (R0 resection, stage IA-IB) were assessed. Clinical information and the SII, NLR, ALI, and PNI values were obtained. The low and high ratio groups were separated using the receiver operating characteristic curve (ROC). Pearson's χ2-test or Fisher's exact test was used to determine their relationship with clinical variables. To determine the independent prognostic factors, Cox regression was utilized to do the univariate and multivariate survival analyses. The Kaplan-Meier method was used to draw the survival curve in our survival analysis. Depending upon the independent prognostic factors, the nomogram for Overall survival (OS) and Disease-free survival (DFS) nomogram was developed, and its discrimination ability was validated by the consistency index (C-index) and calibration curve.

RESULTS

Cox regression analysis revealed that FIGO staging, Ki-67 expression level, PNI, and ALI are independent prognostic factors for both OS and DFS. Then a novel predictive nomogram was developed, and its C-index value for OS and DFS was 0.829 and 0.814, respectively. The calibration curves demonstrated consistency amid the predicted prognosis using the developed nomogram and the actual observed outcomes.

CONCLUSIONS

The ALI and PNI could serve as readily available prognostic indicators for OS and DFS prediction in stage IA-IB EC patients. The nomogram developed owned superior power for OS and DFS prediction in stage IA-IB EC patients, and it would assist clinical oncologists in accurately predicting the individual's OS and DFS.

Clinical significance of the advanced lung cancer inflammation index in gastrointestinal cancer patients: a systematic review and meta-analysis

Background

The advanced lung cancer inflammation index (ALI) has been identified as a scientific and clinical priority in multiple malignancies. The aim of this study is to investigate the value of the ALI before treatment in evaluating postoperative complications (POCs) and survival outcomes in patients with gastrointestinal (GI) cancer.

Methods

Electronic databases including PubMed, Embase and Web of Science were comprehensively reviewed up to June 2022. The endpoints were POCs and survival outcomes. Subgroup analyses and sensitivity analyses were also performed.

Results

Eleven studies including 4417 participants were included. A significant heterogeneity in the ALI cut-off value among studies was observed. Patients in the low ALI group showed increased incidence of POCs (OR=2.02; 95%CI:1.60-2.57; P<0.001; I² = 0%). In addition, a low ALI was also significantly associated with worse overall survival (HR=1.96; 95%CI: 1.58-2.43; P<0.001; I² = 64%), which remained consistent in all subgroups based on country, sample size, tumor site, tumor stage, selection method and Newcastle Ottawa Scale score. Moreover, patients in the low ALI group had an obviously decreased disease-free survival compared to these in the high ALI group (HR=1.47; 95%CI: 1.28-1.68; P<0.001; I² = 0%).

Conclusion

Based on existing evidence, the ALI could act as a valuable predictor of POCs and long-term outcomes in patients with GI cancer. However, the heterogeneity in the ALI cut-off value among studies should be considered when interpreting these findings.

The advanced lung cancer inflammation index is a prognostic factor for gastrointestinal cancer patients undergoing surgery: a systematic review and meta-analysis

BACKGROUND

The advanced lung cancer inflammation index (ALI) is a comprehensive assessment indicator that can reflect inflammation and nutrition conditions. However, there are some controversies about whether ALI is an independent prognostic factor for gastrointestinal cancer patients undergoing surgical resection. Thus, we aimed to clarify its prognostic value and explore the potential mechanisms.

METHODS

Four databases including PubMed, Embase, the Cochrane Library, and CNKI were used for searching eligible studies from inception to June 28, 2022. All gastrointestinal cancers, including colorectal cancer (CRC), gastric cancer (GC), esophageal cancer (EC), liver cancer, cholangiocarcinoma, and pancreatic cancer were enrolled for analysis. We focused on prognosis most in the current meta-analysis. Survival indicators, including overall survival (OS), disease-free survival (DFS), and cancer-special survival (CSS) were compared between the high ALI group and the low ALI group. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist was submitted as a supplementary document.

RESULTS

We finally included fourteen studies involving 5091 patients in this meta-analysis. After pooling the hazard ratios (HRs) and 95% confidence intervals (CIs), ALI was found to be an independent prognostic factor for both OS (HR = 2.09, I² = 92%, 95% CI = 1.53 to 2.85, P < 0.01), DFS (HR = 1.48, I² = 83%, 95% CI = 1.18 to 1.87, P < 0.01), and CSS (HR = 1.28, I² = 1%, 95% CI = 1.02 to 1.60, P = 0.03) in gastrointestinal cancer. After subgroup analysis, we found that ALI was still closely related to OS for CRC (HR = 2.26, I² = 93%, 95% CI = 1.53 to 3.32, P < 0.01) and GC (HR = 1.51, I² = 40%, 95% CI = 1.13 to 2.04, P = 0.006) patients. As for DFS, ALI also has a predictive value on the prognosis of CRC (HR = 1.54, I² = 85%, 95% CI = 1.14 to 2.07, P = 0.005) and GC (HR = 1.37, I² = 0%, 95% CI = 1.09 to 1.73, P = 0.007) patients.

CONCLUSION

ALI affected gastrointestinal cancer patients in terms of OS, DFS, and CSS. Meanwhile, ALI was a prognostic factor both for CRC and GC patients after subgroup analysis. Patients with low ALI had poorer prognoses. We recommended that surgeons should perform aggressive interventions in patients with low ALI before the operation.

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.

Inflammatory geriatric nutritional risk index stratified the survival of older adults with cancer sarcopenia

BACKGROUND

Aging is accompanied by muscle loss. In older adults with cancer sarcopenia (OACS), systemic inflammation, reduced food intake, and reduced physical activity led to a poor prognosis. This study was to investigate the prognostic ability of the inflammatory Geriatric Nutritional Risk Index (GNRI), which combines patient's inflammation, diet status, and physical activity status to predict overall survival of OACS.

METHODS

This prospective multi-center study enrolled 637 OACS, with an average age of 72.78 ± 5.98 years, of which 408 (64.1%) were males. We constructed the Inflammatory Functional Prognostic Index (IFPI) of OACS based on inflammatory GNRI scores, reduced food intake, and reduced physical activity. According to the IFPI, OACS was divided into high-, moderate-, and low-risk groups. Univariate and multivariate survival analyses analyzed the prognostic ability of the clinical parameters.

RESULTS

Compared with OACS with a high GNRI score, the 1-, 3-, and 5-year hazard ratios (95% confidence interval) of OACS with a low GNRI score was 1.816 (1.076-3.063), 1.678 (1.118-2.518), and 1.627 (1.101-2.407), respectively. This result was consistent with that of the calibration curve. The subgroup analysis showed that the low GNRI score had a significant positive relation with patients with gastrointestinal cancer (P_interaction  < 0.001). Notably, the survival analysis of IFPI showed that the mortality risk of moderate- and high-risk patients was 1.722-and 2.509-fold higher, respectively, than that of low-risk patients.

CONCLUSION

The GNRI score was a short-term and long-term inflammatory prognostic indicator for OACS. The IFPI score could improve patient survival prediction.

Clinical implication of the advanced lung cancer inflammation index in patients with right-sided colon cancer after complete mesocolic excision: a propensity score-matched analysis

Background

This study aimed to assess the clinical implications of the advanced lung cancer inflammation index (ALI) in patients with right-sided colon cancer (RCC) after complete mesocolic excision (CME).

Methods

A total of 441 patients with RCC who underwent CME were included. The optimal cut-off value for the ALI was determined using the X-tile software. Logistic and Cox regression analyses were used to identify risk factors for postoperative complications and long-term outcomes. Predictive nomograms for overall survival (OS) and disease-free survival (DFS) were constructed after propensity score matching (PSM), and their performance was assessed using the net reclassification improvement index (NRI), integrated discrimination improvement index (IDI), and time-dependent receiver operating characteristic (time-ROC) curve analysis.

Results

The optimal preoperative ALI cut-off value was 36.3. After PSM, ASA classification 3/4, operative duration, and a low ALI were independently associated with postoperative complications in the multivariate analysis (all P<0.05). Cox regression analysis revealed that an age >60 years, a carbohydrate antigen 19-9 (CA19-9) level >37 U/mL, pathological N+ stage, and a low ALI were independently correlated with OS (all P<0.05). A CA19-9 level >37 U/mL, pathological N+ stage, lymphovascular invasion, and a low ALI were independent predictors of DFS (all P<0.05). Predictive nomograms for OS and DFS were constructed using PSM. Furthermore, a nomogram combined with the ALI was consistently superior to a non-ALI nomogram or the pathological tumor-node-metastasis classification based on the NRI, IDI, and time-ROC curve analysis after PSM (all P<0.05).

Conclusion

The ALI was an effective indicator for predicting short- and long-term outcomes in patients with RCC.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12957-022-02712-0.

Prognostic Value of Pretreatment Skeletal Muscle Mass Index in Esophageal Cancer Patients: A Meta-Analysis

The prognostic role of pretreatment skeletal muscle mass index (SMI) has been verified in several types of cancers. However, it remains unclear whether pretreatment SMI is a valuable prognostic indicator in esophageal cancer. The aim of the present study was to identify the prognostic value of pretreatment SMI in esophageal cancer. PubMed, EMBASE and Web of Science databases were searched for relevant studies up to November 10, 2021. The hazard ratios (HRs) with 95% confidence intervals (CIs) were combined to assess the association of pretreatment SMI with the overall survival (OS) and disease-free survival (DFS) of esophageal cancer patients. In total, 17 studies involving 2441 patients were included in this meta-analysis. The pooled results demonstrated that a lower SMI was significantly associated with poorer OS (HR = 1.18, 95% CI: 1.09-1.27, P < 0.001) and DFS (HR = 1.78, 95% CI: 1.10-2.88, P = 0.019). In addition, subgroup analysis based on treatment (surgery vs. nonsurgery), tumor type (squamous cell carcinoma vs. adenocarcinoma) and cutoff value of SMI showed similar results. The present findings demonstrated that pretreatment SMI is an independent prognostic indicator for esophageal cancer patients, and patients with a lower pretreatment SMI are more likely to have a worse prognosis. However, additional prospective high-quality studies are needed to verify the above findings.

The Prognostic Value of Pretreatment Geriatric Nutritional Risk Index in Esophageal Cancer: A Meta-Analysis

Purpose: To explore the prognostic role of the pretreatment geriatric nutritional risk index (GNRI) in patients with esophageal cancer. Methods: Several electronic databases were searched from inception to January 27, 2022, for relevant studies. Hazard ratios (HRs) and 95% confidence intervals (CIs) were combined to assess the association between pretreatment GNRI and the prognosis of patients with esophageal cancer. The primary and secondary outcomes were overall survival (OS) and progression-free survival (PFS), respectively. Statistical analyses were performed using STATA software (version 12.0). Results: Fourteen retrospective studies involving 3981 patients were enrolled. The pooled results demonstrated that lower pretreatment GNRI was an independent prognostic risk factor for poorer OS (HR = 1.47, 95% CI: 1.33-1.63, P < 0.001) and PFS (HR = 1.69, 95% CI: 1.24-2.31, P = 0.001). Subgroup analysis based on pathological type (squamous cell carcinoma vs. esophageal cancer) and treatment (non-surgery vs. surgery) showed similar results. Conclusion: Pretreatment GNRI was significantly associated with prognosis of patients with esophageal cancer, and lower pretreatment GNRI predicted worse survival. However, more prospective high-quality studies are needed to verify these findings.

Prognostic Value of Geriatric Nutritional Risk Index in Esophageal Carcinoma: A Systematic Review and Meta-Analysis

Esophageal cancer (EC) is one of the most common cancers worldwide. Malnutrition often leads to poor prognosis of patients with EC. Geriatric nutritional risk index (GNRI) was reported as an objective nutrition-related risk index. We intend to comprehensively review evidence of GNRI in predicting EC prognosis. To explore the influence of GNRI on the long-term survival outcome of patients with EC, a meta-analysis was needed. We searched the Web of Science, Medline, Embase, and the Cochrane Library databases. The association between prognosis of patients with EC and GNRI was evaluated by pooling hazard ratios (HRs) and their corresponding 95% confidence intervals (CIs). The fixed model or random model method was chosen according to the heterogeneity among the studies. Totally, 11 studies with 1785 patients who met the inclusion criteria were eventually included in our meta-analysis. Comparing the lower level GNRI group and the higher level GNRI group, the pooled results showed that lower GNRI had a negative impact on overall survival (OS) (HR: 1.75, 95% CI: 1.45–2.10, P < 0.01) and cancer-specific survival (CSS) (HR: 1.77, 95% CI: 1.19–2.62, P < 0.01), indicating that lower GNRI significantly predicted poor OS. In conclusion, lower GNRI could predict the poor prognosis of patients with EC. Meanwhile, more well-designed randomized controlled trials (RCTs) are needed to confirm the findings.

Clinical Significance of Nutrition and Inflammation in Esophageal Cancer Patients with Surgery: A Meta-Analysis

Many studies have reported that the geriatric nutritional risk index (GNRI) and C-reactive protein to albumin ratio (CAR) may be associated with prognosis of esophageal cancer (EC); however, the results are inconsistent. Therefore, we performed a meta-analysis to evaluate the effect of preoperative GNRI and CAR on the prognosis of EC. PubMed, Embase, Cochrane Library, and Web of Science databases were searched. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to analyze the relationship between GNRI/CAR and prognosis. Publication bias was estimated using Begg's funnel plot asymmetry test and Egger's test. A total of 21 studies comprising 5,018 patients were included in the meta-analysis. A decreased GNRI was significantly associated with poorer overall survival (OS) (HR = 1.808, 95% CI: 1.489-2.196, P < 0.001) and cancer-specific survival (CSS) (HR = 1.769, 95% CI: 1.193-2.624, P = 0.005), and an increased CAR was significantly associated with lower OS (HR = 2.179, 95% CI: 1.587-2.992, P < 0.001), CSS (HR = 1.733, 95% CI: 1.333-2.253, P < 0.001), and recurrence-free survival (HR = 2.178, 95% CI: 1.328-3.573, P = 0.002). Thus, preoperative GNRI and CAR may be noninvasive and powerful tools for predicting survival outcomes in patients with EC.

Association Between Systemic Inflammation and Malnutrition With Survival in Patients With Cancer Sarcopenia-A Prospective Multicenter Study

Objective

Systemic inflammation and malnutrition are correlated with cancer sarcopenia and have deleterious effects on oncological outcomes. However, the combined effect of inflammation and malnutrition in patients with cancer sarcopenia remains unclear.

Methods

We prospectively collected information on 1,204 patients diagnosed with cancer sarcopenia. the mean (SD) age was 64.5 (11.4%) years, and 705 (58.60%) of the patients were male. The patients were categorized into the high advanced lung cancer inflammation index (ALI) group (≥18.39) and the low ALI group (<18.39) according to the optimal survival cut-off curve. We selected the optimal inflammation marker using the C-index, decision curve analysis (DCA), and a prognostic receiver operating characteristic curve. Univariate and multivariate survival analyses were performed to determine the prognostic value of the optimal inflammation indicator. We also analyzed the association between inflammation and malnutrition in patients with cancer.

Results

The C-index, DCA, and prognostic area under the curve of ALI in patients with cancer sarcopenia were higher or better than those of neutrophil-lymphocyte ratio (NLR), prognostic nutritional index (PNI), systemic immune-inflammation index (SII), and platelet-lymphocyte ratio (PLR). The prognosis for patients in the low ALI group was worse than that of patients in the high ALI group [HR (95%CI) = 1.584 (1.280–1.959), P < 0.001]. When the ALI was divided into quartiles, we observed that decreased ALI scores strongly correlated with decreased overall survival (OS). Patients with both a low ALI and severe malnutrition (vs. patients with high ALI and well-nourished) had a 2.262-fold death risk (P < 0.001). Subgroup analysis showed a significant interactive association between the ALI and death risk in terms of TNM stage (P for interaction = 0.030).

Conclusions

The inflammation indicator of the ALI was better than those of the NLR, PNI, SII, and PLR in patients with cancer sarcopenia. Inflammation combined with severe malnutrition has a nearly 3-fold death risk in patients with cancer sarcopenia, suggesting that reducing systemic inflammation, strengthening nutritional intervention, and improving skeletal muscle mass are necessary.

Use of the Advanced Lung Cancer Inflammation Index as a Prognostic Indicator for Patients With Cholangiocarcinoma

Background

This study aimed to assess the clinical utility of the advanced lung cancer inflammation index (ALI) as a prognostic indicator for patients with cholangiocarcinoma (CCA) and construct a prognostic nomogram based on ALI.

Methods

A total of 97 CCA patients who received radical resection were included. The optimal cut-off point for ALI was identified by X-tile analysis. COX regression analysis were used to identify risk factors of overall survival (OS) and disease-free survival (DFS). A predictive nomogram for DFS was constructed.

Results

The optimal cut-off value for preoperative ALI was 31.8. 35 (36.1%) patients were categorized into the low-ALI group and 62 (63.9%) patients into the high-ALI group. Low ALI was independently associated with hypoproteinemia and lower body mass index (BMI) (all P &lt; 0.05). COX regression analysis revealed that preoperative ALI level (HR = 0.974, P = 0.037) and pathological TNM stage (HR = 7.331, P &lt; 0.001) were independently correlated with OS for patients with CCA, and preoperative ALI level (HR = 0.978, P = 0.042) and pathological T stage (HR = 1.473, P = 0.035) remained to be independent prognostic factors for DFS in CCA patients. Using time-dependent ROC analysis, we found that ALI was better at predicting prognosis than other parameters, such as neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), systemic immune-inflammation index (SII), and prognostic nutritional index (PNI) in terms of OS and DFS. A nomogram predicting DFS was built (C-index: 0.73 95%CI: 0.67–0.79).

Conclusions

ALI may be useful for prognosis assessment for patients with CCA.

A Low Advanced Lung Cancer Inflammation Index Predicts a Poor Prognosis in Patients With Metastatic Non–Small Cell Lung Cancer

Introduction: Inflammation plays a crucial role in cancers, and the advanced lung cancer inflammation index (ALI) is considered to be a potential factor reflecting systemic inflammation.

Objectives: This work aimed to explore the prognostic value of the ALI in metastatic non–small cell lung cancer (NSCLC) and classify patients according to risk and prognosis.

Methods: We screened 318 patients who were diagnosed with stage IV NSCLC in Hubei Cancer Hospital from July 2012 to December 2013. The formula for ALI is body mass index (BMI, kg/m²) × serum albumin (Alb, g/dl)/neutrophil–lymphocyte ratio (NLR). Categorical variables were analyzed by the chi-square test or Fisher’s exact test. The overall survival (OS) rates were analyzed by the Kaplan–Meier method and plotted with the R language. A multivariate Cox proportional hazard model was used to analyze the relationship between ALI and OS.

Results: According to the optimal cut-off value determined by X-tile software, patients were divided into two groups (the ALI <32.6 and ALI ≥32.6 groups), and the median OS times were 19.23 and 39.97 months, respectively (p < 0.01). A multivariable Cox regression model confirmed that ALI and chemotherapy were independent prognostic factors for OS in patients with NSCLC. OS in the high ALI group was better than that in the low ALI group (HR: 1.39; 95% CI: 1.03–1.89; p = 0.03).

Conclusions: Patients with a low ALI tend to have lower OS among those with metastatic NSCLC, and the ALI can serve as an effective prognostic factor for NSCLC patients.

Association of Systemic Inflammation and Overall Survival in Elderly Patients with Cancer Cachexia - Results from a Multicenter Study

Background

Systemic inflammation and cachexia are associated with adverse clinical outcomes in elderly patients with cancer. The survival outcomes of elderly patients with cancer cachexia (EPCC) with high inflammation and a high risk of mortality are unknown. This study aimed to investigate the impact of high inflammation on the prognosis of EPCC patients with high mortality.

Patients and Methods

This multicenter cohort study included 746 EPCC (age >65 years) with a mean age of 72.00 ± 5.24 years, of whom 489 (65.5%) were male. The cut-off value for the inflammation index was obtained using the optimal survival curve. The different inflammatory indicators were assessed using the concordance index (C-index), decision curve analysis (DCA), and prognostic receiver operating characteristic (ROC). The high mortality risk group of EPCC was defined by the 2011 Fearon Cancer Diagnostic Consensus. EPCC were divided into the high-risk group, which satisfies three diagnostic criteria, and a low-risk group, which satisfies only one or two diagnostic criteria.

Results

The C-index, DCA, and prognostic ROC indicated the superiority of advanced lung cancer inflammation index (ALI) compared with other indicators, including neutrophil–lymphocyte ratio (NLR), prognostic nutritional index (PNI), systemic immune-inflammation index (SII), and platelet–lymphocyte ratio (PLR). Whether ALI was used as a continuous or a categorical variable, ALI had a better prognostic value in EPCC compared with other inflammatory indicators. In particular, patients with low ALI (<25.03) had a worse overall survival (OS) than patients with high ALI (≥25.03) (P < 0.001, HR [95% CI] = 2.092 [1.590–2.751]). The combination effect analysis showed that the risk of mortality of the patients in the low-ALI and high-risk groups was 3.095-fold higher than that of patients in the high-ALI and low-risk groups.

Conclusion

The prognostic and discriminative value of the inflammatory indicator ALI was better than that of NLR, PNI, SII, and PLR in EPCC. The high-risk group of EPCC with a low ALI would increase the death risk of OS.