The advanced lung cancer inflammation index predicts short and long-term outcomes in patients with colorectal cancer following surgical resection: a retrospective study

Abstract

Background and Purpose Several studies have proposed that the advanced lung cancer inflammation index (ALI), a new inflammation-related index, can be used for the prognosis assessment of various malignancies. However, few studies have reported its prognostic value in colorectal cancer (CRC). Therefore, this study explored the relationship between ALI and outcomes in CRC patients. Methods A total of 662 CRC patients who underwent surgery between 2012 and 2014 were included. The ALI was defined as: body mass index × serum albumin/neutrophil to lymphocyte ratio. The X-tile program identified the optimal cut-off value of ALI. Logistic regression analyses determined factors affecting postoperative complications. The Kaplan–Meier method and Cox proportional hazards analyses evaluated potential prognostic factors. Results The optimal cut-off of ALI in males and females were 31.6 and 24.4, respectively. Low-ALI was an independent risk factor for postoperative complications in CRC patients (odds ratio: 1.933, 95% CI [1.283–2.911], p = 0.002). Low-ALI groups also had significantly lower progression-free survival (PFS) and overall survival (OS), when compared with the high-ALI group, especially at advance tumor stages. Using multivariate analysis, ALI was determined as an independent prognostic factor for PFS (hazard ratio: 1.372, 95% CI [1.060–1.777], p = 0.016) and OS (hazard ratio: 1.453, 95% confidence interval: 1.113–1.898, p = 0.006). Conclusion ALI is an independent predictor of short and long-term outcomes in CRC patients, especially at advance tumor stages. The ALI-based nomograms can provide accurate and individualized prediction of postoperative complication risk and survival for CRC patients.

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

“…Patients with a low ALI are prone to developing postoperative complications related to poor host immune status. After PSM, the ALI remained an effective indicator for predicting postoperative complications, consistent with a previous study [ 14 ]. Together, these findings indicate that the ALI may be an effective index for predicting postoperative complications in patients with RCC.…”

“…The correlation between the ALI and patient prognosis has been confirmed in several cancers [ 9 – 11 ]. However, few studies have focused on the clinical significance of the ALI among patients with RCC [ 12 – 14 ].…”

“…Nutritional indicators are also associated with the prognosis of various malignancies [7,8]. The advanced lung cancer inflammation index (ALI), a novel inflammation and nutrition-based index defined by combining body the mass index (BMI), preoperative serum albumin (ALB) level, and neutrophil-to-lymphocyte ratio (NLR), has been proposed as a prognostic biomarker for various malignant tumors, including lung, esophageal, gastric, and colorectal cancers [9][10][11][12][13][14]. In colon cancer, patients with RCC tend to experience malnutrition before surgery, leading to immune depression [15].…”

The advanced lung cancer inflammation index is a novel independent prognosticator in colorectal cancer patients after curative resection

“…The cutoff value was calculated separately for male and female patients based on past reports. 14 In this study we used a classification and regression tree (CART) analysis for the patient overall survival (OS) to determine the optimal cutoff value of ALI. The value for males was 43.099, and we defined ≤43.099 as a low ALI and >43.099 as a high ALI.…”

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

“…The ALI is associated with poor prognosis in EC, 23 head and neck squamous cell carcinoma, 24 and in colorectal cancer. 25,26 The purpose of this study was to establish the L3SMI cut-off value to be used for diagnosis of sarcopenia in elderly EC patients in southern China (Guangxi Province). In addition, we explored the relationship between the L3SMI and PNI, GNRI, and ALI and their prognostic value in elderly EC patients.…”