OSCR

Single-cell data analysis of lung cancer brain metastasis reveals SEC61G serves as a potential risk indicator.

Overview

Authors: Yunjing Li1, Yuanyuan Zhang1, Wenxin Tian2, Zhixun Zhao3, Lei He4
  1. Department of Thoracic Surgery, The First Medical Center of PLA General Hospital, Beijing, 100853 China
  2. Department of Thoracic Surgery, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730 China
  3. Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
  4. Department of Pathology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, 100730 China
Institutions: Chinese PLA General Hospital (China); First Affiliated Hospital of Chinese PLA General Hospital (China); Chinese Academy of Medical Sciences & Peking Union Medical College (China); Beijing Hospital (China); Cancer Hospital of Chinese Academy of Medical Sciences (China)
Journal: Discover oncology, volume 17, issue 1, article 1129
Dates: received 11 December 2025; accepted 28 May 2026; published online 3 June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1007/s12672-026-05341-1 · PMID 42234055 · PMCID PMC13447619 · OpenAlex W7163361728
Open access: gold, a free copy (OpenAlex)
Status: data only (how the code is found and verified)
Categories: genetics / omics (modality), human (organism), other condition (population), cellular / molecular (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions
Keywords: Lung cancer, Brain metastasis, scRNA-seq, SEC61G, Risk indicator
Topic: Brain Metastases and Treatment (Oncology, Medicine), according to OpenAlex
Funding: National High Level Hospital Clinical Research Funding (LC2024A22)
Citations: not cited yet (Europe PMC); 18 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

Datasets cited

Data availability statement

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  • no repository, dataset or request procedure was recognized in it

Read it in the paper: doi.org/10.1007/s12672-026-05341-1.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 5 keywords, 1 funder, 18 references.

Cite

This paper

Li, Y., Zhang, Y., Tian, W., Zhao, Z., & He, L. (2026). Single-cell data analysis of lung cancer brain metastasis reveals SEC61G serves as a potential risk indicator. Discover oncology, 17(1), 1129. https://doi.org/10.1007/s12672-026-05341-1

BibTeX

@article{li2026single,
author = {Li, Yunjing and Zhang, Yuanyuan and Tian, Wenxin and Zhao, Zhixun and He, Lei},
title = {{Single-cell data analysis of lung cancer brain metastasis reveals SEC61G serves as a potential risk indicator}},
journal = {Discover oncology},
year = {2026},
month = jun,
volume = {17},
number = {1},
pages = {1129},
publisher = {Springer},
issn = {2730-6011},
doi = {10.1007/s12672-026-05341-1},
url = {https://doi.org/10.1007/s12672-026-05341-1},
pmid = {42234055},
pmcid = {PMC13447619}
}

RIS

TY - JOUR
AU - Li, Yunjing
AU - Zhang, Yuanyuan
AU - Tian, Wenxin
AU - Zhao, Zhixun
AU - He, Lei
TI - Single-cell data analysis of lung cancer brain metastasis reveals SEC61G serves as a potential risk indicator
T2 - Discover oncology
J2 - Discov Oncol
PY - 2026
DA - 2026/06/03
VL - 17
IS - 1
SP - 1129
SN - 2730-6011
PB - Springer
DO - 10.1007/s12672-026-05341-1
UR - https://doi.org/10.1007/s12672-026-05341-1
LA - en
ER -

CSL-JSON

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"language": "en",
"issued": {
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