Evidence map›Paper›PMID 41234595›Full record

ArticleTranslational lung cancer research2025

Single-cell RNA profiling reveals an immunosuppressive microenvironment in

Jiao Yang, Jun-Wei Su, Hong-Rui Li, Mei-Mei Fang, Xu-Hui Guan, Xiao-Cheng Lin, Ke-Jun Liu, Li-Xu Yan, Xu-Chao Zhang, Xue-Ning Yang and 5 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Integrating multi-omics data for next-generation cancer research and precision medicine.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    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

15 authors.

Jiao Yang *Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jun-Wei Su *Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Hong-Rui Li *Berry Oncology Corporation, Beijing, China.
Mei-Mei Fang *Guangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xu-Hui GuanGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xiao-Cheng LinGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Ke-Jun LiuGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Li-Xu YanDepartment of Pathology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xu-Chao ZhangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Xue-Ning YangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Wen-Zhao ZhongGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Hua-Jun ChenGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Jia LiuCenter for Medical Research, The second Xiangya Hospital, Central South University, Changsha, China.
Wendy WuBerry Oncology Corporation, Beijing, China.
Jin-Ji YangGuangdong Lung Cancer Institute, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Non-small cell lung cancer (NSCLC) patients with double-driver gene mutations are reported with poorer survival outcomes and reduced therapy responses compared to single-mutant (SM) patients. While substantial progress has been made in treating cancers with single-driver gene alterations, the therapeutic implications and tumor microenvironment of double-mutant (DM) NSCLC remain largely unexplored because of its rarity and poor prognosis. This study aims to delineate the landscape of the immune microenvironment within DM NSCLC. Methods: We employed single-cell RNA sequencing (scRNA-seq) to generate a comprehensive transcriptomic atlas from 25 Results: The scRNA-seq platform scFocuSCOPE accurately identified and characterized rare, mutation-bearing cancer cells at the single-cell level. DM cancer cells exhibited a strong tendency toward angiogenesis, suggesting an invasive phenotype. DM patients had a more suppressed immune microenvironment, with fewer dysfunctional T lymphocytes. The observation of fewer immune cells and high programmed death ligand-1 (PD-L1) expression in DM cases, probably related to immune evasion and poorer prognosis. In one DM patient, PD-L1 expression remained unchanged after targeted therapy but decreased after immunotherapy. Conclusions: scFocuSCOPE precisely delineated tumor heterogeneity and immune suppression in

Indexed as

cancer hallmarkDouble and single EGFR mutationnon-small cell lung cancer (NSCLC)single-cell RNA sequencing (scRNA-seq)tumor microenvironment (TME)

Identifiers

PMID41234595
PMCPMC12605333

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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.