Evidence map›Paper›PMID 40799452›Full record

ReviewTranslational lung cancer research2025

Mechanistic insights into the immune biomarker of perioperative immune checkpoint inhibitors for non-small cell lung cancer.

Yanting Long, Runsen Jin, Hecheng Li

Abstract readReview
In one paragraph

Review in Translational lung cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
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

3 authors.

Yanting LongDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Runsen JinDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hecheng LiDepartment of Thoracic Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID https://orcid.org/0000-0001-8069-6033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) targeting the programmed cell death protein 1/programmed death-ligand 1 (PD-1/PD-L1) axis have revolutionized the treatment of non-small cell lung cancer (NSCLC), demonstrating remarkable efficacy in advanced-stage patients. These therapies have demonstrated durable responses and improved survival outcomes. Recently, perioperative ICIs have emerged as a promising approach for early-stage resectable NSCLC to address high postoperative recurrence rates and improve long-term survival. Clinical trials on adjuvant, neoadjuvant, and a combination of both perioperative ICIs therapies, such as CheckMate 816 and KEYNOTE-671, have demonstrated improvements in pathological complete response (pCR), event-free survival (EFS), and overall survival (OS). However, challenges remain, including low response rates in NSCLC patients and the occurrence of immune-related adverse events (irAEs). These factors highlight the urgent need for robust predictive biomarkers to better stratify patients and guide clinical decision-making. While numerous studies have explored the predictive and guiding value of various biomarkers, few have reached clinical application, leaving significant gaps. Moreover, the complexity and heterogeneity of tumor-immune interactions underscore the need for integrated, multimodal predictive models. This review highlights the current state and unresolved challenges in perioperative ICIs treatment for early-stage resectable NSCLC, emphasizing the critical role of biomarkers in advancing these therapies. It provides a comprehensive summary of potential biomarkers identified in recent research, elucidating their predictive mechanisms and interrelationships. The goal is to inspire the discovery of novel biomarkers and support the integration of multiple biomarkers for combined predictive models, ultimately optimizing patient selection and therapeutic outcomes.

Indexed as

immune checkpoint inhibitors (ICIs)Non-small cell lung cancer (NSCLC)perioperative therapypredictive biomarkerstumor microenvironment (TME)

Identifiers

PMID40799452
PMCPMC12337034

What OpenQuestion holds

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Registered trials

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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.