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ORIGINAL RESEARCH article
Front. Immunol.
Sec. Cancer Immunity and Immunotherapy
Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1567565
This article is part of the Research Topic Beyond Conventional Biomarkers: Unlocking Immunotherapy Response Through Novel Biomarkers or Combinatorial Approaches View all articles
The Lung Cancer Immune Prognostic Score (LCIPS) Predicts Pathologic Complete Response and Survival in NSCLC Patients Receiving Neoadjuvant Immunochemotherapy
Provisionally accepted
Yuyan Xie 1
Zhihao Shi 1 Tong Chen 1 Hongyan Li 1 Menglin Fan 1 Xuqin Xiang 1 Gao Zhang 2* Fang Liu 1- 1 Harbin Medical University Cancer Hospital, Harbin, China
- 2 The University of Hong Kong, Pokfulam, Hong Kong, SAR China
Neoadjuvant immunochemotherapy(nICT) has significantly improved event-free survival (EFS) and pathologic complete response (pCR) in patients with resectable nonsmall cell lung cancer (NSCLC). However, the lack of validated biomarkers limits their ability to predict therapeutic efficacy and survival outcomes. This study aimed to develop a novel inflammatory and nutritional index, the LCIPS, to predict pCR and survival prognosis in patients with NSCLC.This retrospective study included 131 patients with clinical stage IB-IIIB NSCLC who underwent neoadjuvant immunochemotherapy between May 2020 and May 2024.LCIPS is an independent predictor of pCR in patients with NSCLC receiving neoadjuvant immunochemotherapy and is associated with improved DFS and survival outcomes. This novel index offers valuable guidance for personalized treatment strategies.
Keywords: Neoadjuvant immunochemotherapy, Non-small cell lung cancer, Pathologic complete response, inflammatory and nutritional indices, prognostic factors
Received: 27 Jan 2025; Accepted: 26 Mar 2025.
Copyright: © 2025 Xie, Shi, Chen, Li, Fan, Xiang, Zhang and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Gao Zhang, The University of Hong Kong, Pokfulam, 999077, Hong Kong, SAR China
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