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Predicting prognosis in colorectal cancer patients with curative resection using albumin, lymphocyte count and RAS mutations
Predicting prognosis in colorectal cancer patients with curative resection using albumin, lymphocyte count and RAS mutations
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Predicting prognosis in colorectal cancer patients with curative resection using albumin, lymphocyte count and RAS mutations
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Predicting prognosis in colorectal cancer patients with curative resection using albumin, lymphocyte count and RAS mutations
Predicting prognosis in colorectal cancer patients with curative resection using albumin, lymphocyte count and RAS mutations

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Predicting prognosis in colorectal cancer patients with curative resection using albumin, lymphocyte count and RAS mutations
Predicting prognosis in colorectal cancer patients with curative resection using albumin, lymphocyte count and RAS mutations
Journal Article

Predicting prognosis in colorectal cancer patients with curative resection using albumin, lymphocyte count and RAS mutations

2024
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Overview
Colorectal cancer (CRC) poses a significant global health challenge, demanding reliable prognostic tools to guide treatment decisions. This study introduces a novel prognostic scoring system, the albumin-total lymphocyte count- RAS index (ALRI), integrating serum albumin, lymphocyte count, and RAS gene mutations. A cohort of 445 stage I–III CRC patients undergoing curative resection was analyzed, revealing ALRI's association with clinicopathological factors, including age, tumor location, and invasion depth. The ALRI demonstrated superior prognostic value, with a cutoff value of 2 distinguishing high and low-risk groups. The high-ALRI group exhibited elevated rates of recurrence. Univariate and multivariate analyses identified ALRI as an independent predictor for both 5 year recurrence-free survival (RFS) and overall survival (OS). Kaplan–Meier curves illustrated significant differences in RFS and OS between high and low-ALRI groups, emphasizing ALRI's potential as a prognostic marker. Importantly, ALRI outperformed existing nutritional indices, such as controlling nutritional status and neutrophil-to-lymphocyte ratio, in predicting overall survival. The study underscores the comprehensive insight provided by ALRI, combining inflammatory, nutritional, and genetic information for robust prognostication in CRC patients. This user-friendly tool demonstrates promise for preoperative prognosis and personalized treatment strategies, emphasizing the crucial role of inflammation and nutrition in CRC outcomes.