Evidence map›Paper›PMID 41132978›Full record

ArticleTranslational lung cancer research2025

Survival benefits in non-small cell lung cancer during the immune checkpoint inhibitor era: integrating lymph node burden for prognostic precision.

Yuntao Feng, Qijue Lu, Yichen Dong, Jingyu Chen, Yue Zhao, Long Xu, Junqi Wu, Bowen Shi, Deping Zhao

Abstract read
In one paragraph

Article 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 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

9 authors.

Yuntao Feng *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Qijue Lu *Department of Cardiothoracic Surgery, Naval Medical Center, Shanghai, China.
Yichen Dong *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Jingyu Chen *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Yue ZhaoDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Long XuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Junqi WuDepartment of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.
Bowen Shi *Department of Thoracic Surgery, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Deping Zhao *Department of Thoracic Surgery, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lung cancer remains a global health challenge, with non-small cell lung cancer (NSCLC) comprising the majority of cases. Since 2015, immunotherapy, specifically immune checkpoint inhibitors (ICIs), has significantly shifted treatment paradigms in advanced NSCLC, yet the prognostic role of lymph node metastatic burden remains underexplored. This study evaluates the survival benefit associated with the ICI era in advanced NSCLC and explores the prognostic value of lymph node burden metrics across disease stages. Methods: Using Surveillance, Epidemiology, and End Results data (SEER, 2010-2021), we identified advanced NSCLC patients and divided them into two cohorts based on the treatment era: pre-ICI era cohort (2010-2014) and ICI-introduction era cohort (2015-2021). Overall survival (OS) and cancer-specific survival (CSS) were analyzed in this advanced-stage population. Lymph node burden was assessed using the number of positive lymph nodes (NPLN), lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS). Mediation analysis and SHapley Additive exPlanations (SHAP) modeling were used to evaluate their contribution to survival benefits. Additionally, we independently assessed the prognostic value of LNR and LODDS for OS and CSS, both in advanced-stage patients and a separate validation cohort of early-stage NSCLC with nodal metastasis, to evaluate their clinical utility beyond anatomical staging. Results: In patients with advanced NSCLC, the ICI-introduction era cohort demonstrated significantly improved OS and CSS compared to the pre-ICI era cohort, with adjusted hazard ratios (HRs) of 0.80 [95% confidence interval (CI): 0.75-0.85] and 0.76 (95% CI: 0.71-0.81), respectively. Mediation analysis indicated that LNR and LODDS partially explained these survival benefits. Besides, each 1% increase in LNR and each unit increase in LODDS were associated with an 87% (HR =1.87, 95% CI: 1.69-2.06) and 19% (HR =1.19, 95% CI: 1.16-1.22) increase in all-cause mortality risk, respectively. In early-stage NSCLC, both LNR and LODDS were strongly associated with mortality risk, and their integration with anatomical staging provided additional prognostic insight. Kaplan-Meier and Cox regression analyses confirmed enhanced survival stratification when combining rate-based lymph node metrics with anatomic staging. Conclusions: The approval and integration of immunotherapy has contributed, to some extent, to improved OS in advanced NSCLC at the population level, potentially mediated in part by reductions in metastatic lymph node burden. The rate-based metrics can also improve survival stratification in early-stage NSCLC, informing refinements to Tumor-Node-Metastasis (TNM) staging and personalized treatment strategies.

Indexed as

immunotherapylymph node metastatic burdenNon-small cell lung cancer (NSCLC)precision medicine

Identifiers

PMID41132978
PMCPMC12541661

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.