Evidence map›Paper›PMID 40876451›Full record

ReviewCell reports. Medicine2025

Addressing clinical needs in NSCLC immunotherapy: Mechanisms of resistance and promising combination strategies.

Kai Kang, Shanghai Liu, Zhuoran Yao, Jianxin Xue, You Lu

Abstract readReview
In one paragraph

Review in Cell reports. Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. 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

5 authors.

Kai KangDivision of Thoracic Tumor Multimodality Treatment and Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, China; Tianfu Jincheng Laboratory, Chengdu, China.
Shanghai LiuDivision of Thoracic Tumor Multimodality Treatment and Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, China; Tianfu Jincheng Laboratory, Chengdu, China.
Zhuoran YaoDivision of Thoracic Tumor Multimodality Treatment and Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, China; Tianfu Jincheng Laboratory, Chengdu, China. Electronic address: yaozhuoran@outlook.com.
Jianxin XueDivision of Thoracic Tumor Multimodality Treatment and Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, China; Tianfu Jincheng Laboratory, Chengdu, China.
You LuDivision of Thoracic Tumor Multimodality Treatment and Department of Radiation Oncology, Cancer Center, West China Hospital, Sichuan University, Chengdu, China; Laboratory of Clinical Cell Therapy, West China Hospital, Sichuan University, Chengdu, China; Tianfu Jincheng Laboratory, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PD-(L)1 monoclonal antibody-based immunotherapy has become the cornerstone of treatment for non-small cell lung cancer without driver gene alterations. However, resistance, including primary and acquired resistance, remains a major clinical challenge. In this review, we summarize the delayed separation of progression-free survival curves observed in randomized clinical trials, which reflects the emergence of resistance at different treatment stages and the dynamic evolution of anti-tumor immune responses. The development of effective combination strategies should therefore be guided by a thorough understanding of the complex biological mechanisms governing tumor-immune interactions. We review the underlying mechanisms of immunotherapy resistance and propose potential combination strategies. Finally, we emphasize several key considerations for future clinical trial design, including the sequencing of combination therapies, biomarker-guided treatment selection, and optimized management of treatment-related toxicities.

Indexed as

Carcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmImmunotherapyLung NeoplasmsHumanscombination treatmentimmunotherapy resistancenon-small cell lung cancer

Identifiers

PMID40876451
PMCPMC12490215

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.