Evidence map›Paper›PMID 39507016›Full record

ArticleTranslational lung cancer research2024

Blood biomarkers to predict the efficacy of neoadjuvant chemo-immunotherapy in non-small cell lung cancer patients.

Yang Pan, Xuanhong Jin, Jiandong Hong, Yuxia Wang, Haoting Xu, Jingwei Lin, Yan Zhang, Kailai Yin, Jinhao Zhang, Kentaro Inamura and 3 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yang Pan *Department of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Xuanhong Jin *Department of Medical Oncology, Sir Run Run Shaw Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Jiandong Hong *School of Medicine, Shaoxing University, Shaoxing, China.
Yuxia WangPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.
Haoting XuDepartment of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Jingwei LinDepartment of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Yan ZhangDepartment of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Kailai YinPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.
Jinhao ZhangDepartment of Urology, Huashan Hospital, Fudan University, Shanghai, China.
Kentaro InamuraDivision of Pathology, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Dujiang LiuPostgraduate Training Base Alliance of Wenzhou Medical University (Zhejiang Cancer Hospital), Hangzhou, China.
Feng LiDepartment of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.
Jian ZengDepartment of Pulmonary Surgery, Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Neoadjuvant chemo-immunotherapy has increased the number of patients with advanced lung cancer eligible for surgery. However, only a small number of such patients respond to this approach. Intensive research is being conducted to identify biomarkers to predict the efficacy of neoadjuvant chemo-immunotherapy. Among these, blood predictive biomarkers are particularly promising, and have the advantages of being both non-invasive and cost effective. This study aims to evaluate the predictive value of blood biomarkers in determining the efficacy of neoadjuvant chemo-immunotherapy for patients with non-small cell lung cancer (NSCLC), addressing a critical need for more personalized treatment strategies in clinical practice. Methods: We retrospectively collected the data of 199 NSCLC patients who received neoadjuvant chemo-immunotherapy from January 1, 2021 to December 31, 2023, at Zhejiang Cancer Hospital. We then analyzed the performance of blood biomarkers in predicting the efficacy of neoadjuvant chemo-immunotherapy. Results: The patients in the major pathological response (MPR) group had significantly higher pre-treatment squamous cell carcinoma antigen (SCCA) levels, and a significantly lower post-treatment platelet-lymphocyte ratio (PLR) than those in the non-MPR group. For patients with higher pre-treatment SCCA levels, the 1- and 2-year event-free survival (EFS) rates were 97.87% [95% confidence interval (CI): 94.99-100.00%] and 93.21% (95% CI: 84.32-100.00%), respectively. In those with lower pre-treatment SCCA levels, the 1- and 2-year EFS rates were 91.39% (95% CI: 84.93-98.35%) and 82.24% (95% CI: 72.42-93.39%), respectively. The survival analysis showed that higher pre-treatment SCCA levels were correlated with improved EFS (P=0.02) in patients receiving neoadjuvant chemo-immunotherapy. Conversely, for patients undergoing surgery alone, high pre-treatment SCCA levels were correlated with a poorer prognosis [disease-free survival (DFS), P=0.001]. These findings confirm the value of SCCA levels in predicting which patients will have a more favorable response to neoadjuvant chemo-immunotherapy. In patients receiving neoadjuvant chemo-immunotherapy, a high post-treatment PLR indicated a poorer prognosis (P=0.02). The Cox regression analysis indicated that the pre-treatment SCCA level (P=0.04) and post-treatment PLR (P=0.04) were independent predictive factors of EFS. Conclusions: In patients receiving neoadjuvant chemo-immunotherapy, high pre-treatment SCCA levels and low post-treatment PLRs were significantly associated with better efficacy and survival. Thus, these biomarkers could be used to guide the choice of treatment modalities.

Indexed as

chemo-immunotherapynon-small cell lung cancer (NSCLC)platelet-lymphocyte ratio (PLR)Squamous cell carcinoma antigen (SCCA)

Identifiers

PMID39507016
PMCPMC11535834

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.