Evidence map›Paper›PMID 41674970›Full record

ArticleTranslational cancer research2026

Single-patient single-cell RNA sequencing reveals neuroendocrine predominance and immunosuppression in small-cell lung cancer.

Yiru Wang, Siyi He, Rensheng Wang, Weimei Huang

Abstract read
In one paragraph

Article in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Yiru Wang *Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Radiation Oncology Clinical Medical Research Center of Guangxi, Nanning, China.ORCID https://orcid.org/0009-0000-8700-7288
Siyi He *Department of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Radiation Oncology Clinical Medical Research Center of Guangxi, Nanning, China.ORCID https://orcid.org/0009-0002-4837-3941
Rensheng WangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Radiation Oncology Clinical Medical Research Center of Guangxi, Nanning, China.ORCID https://orcid.org/0000-0002-0768-9344
Weimei HuangDepartment of Radiation Oncology, The First Affiliated Hospital of Guangxi Medical University, Radiation Oncology Clinical Medical Research Center of Guangxi, Nanning, China.ORCID https://orcid.org/0000-0002-2478-284X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Small cell lung cancer (SCLC) is a subtype of lung cancer that is aggressive, progresses rapidly, and is prone to recurrence. The biological composition of SCLC is still under investigation. This study aims to characterize the intratumoral heterogeneity and immunosuppressive tumor microenvironment of SCLC using single-cell RNA sequencing (scRNA-seq), and to identify and validate the key genes Methods: To comprehend the heterogeneity of SCLC and the tumor microenvironment, we used scRNA-seq to analyze the primary tumor and adjacent noncancerous tissue from a patient. The findings were tested with cell experiments. Results: We observed that SCLC was mainly composed of neuroendocrine epithelial cells and displayed the immune-related cell failure state. The corresponding antitumor immune pathway activities were also downregulated, and the tumor microenvironment eventually showed immunosuppression. BEX1 and MAP1b were upregulated in most cell subtypes, which are verified by immunohistochemistry. In addition, downregulation of BEX1 in NCI-H209 and MAP1b in NCI-H82 significantly inhibited cell proliferation and migration, while increasing apoptosis. Based on preliminary data, BEX1 and MAP1b have been identified as promising candidates for the early diagnosis and therapy of SCLC; however, their clinical utility requires confirmation in subsequent studies. To investigate the heterogeneity and interaction among different cell types, we also constructed an intercellular communication network. Conclusions: Our knowledge of the basic traits of SCLC is improved by this highly accurate single-cell study, which also offers fresh suggestions for potential future therapies.

Indexed as

heterogeneityimmunesingle-cell RNA sequencing (scRNA-seq)Small cell lung cancer (SCLC)tumor microenvironment (TME)

Identifiers

PMID41674970
PMCPMC12885910

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