Prognostic impact of advanced lung cancer inflammation index and tumor load index in esophageal squamous cell carcinoma after neoadjuvant immunochemotherapy
Yizhou Huang, Maohui Chen, Zhenyuan Yang, Yongcong Zhang, Chuanquan Lin, Shuliang Zhang, Taidui Zeng, Jun Yu, Chun Chen, Bin Zheng

TL;DR
This study shows that combining two blood-based scores helps predict outcomes in esophageal cancer patients after treatment, guiding personalized care.
Contribution
The study introduces a novel risk stratification model using ALI and TL for ESCC patients after neoadjuvant immunochemotherapy.
Findings
Low ALI combined with high TL identifies patients with poor pathologic response and worse survival.
The nomogram integrating ALI, TL, and other factors showed strong discrimination and calibration for survival prediction.
High-risk patients had significantly worse OS and DFS compared to low-risk patients.
Abstract
Esophageal squamous cell carcinoma (ESCC) carries a high risk of recurrence after neoadjuvant immunochemotherapy and surgery. Both host inflammatory–nutritional status and circulating tumor markers may jointly influence clinical outcomes. We evaluated the prognostic value of the Advanced Lung Cancer Inflammation Index (ALI) and a composite Tumor Load Index (TL) to refine risk stratification in this setting. We retrospectively analyzed 460 consecutive ESCC patients who received 2–3 cycles of PD-1 inhibitor plus platinum/taxane-based chemotherapy followed by esophagectomy. ALI was calculated as BMI × albumin/NLR. TL was derived via LASSO Cox regression from pre-treatment SCC-Ag, CEA, and CA19-9. Optimal cutoffs were identified using maximally selected rank statistics (ALI: 31.22; TL: 0.224). Patients were categorized as low-risk (high ALI/low TL), intermediate-risk (high ALI/high TL or…
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Taxonomy
TopicsInflammatory Biomarkers in Disease Prognosis · Esophageal Cancer Research and Treatment · Cancer Immunotherapy and Biomarkers
