Machine learning-based prognostic model and single-cell transcriptomic integration for identifying brain metastasis-associated malignant subpopulations and potential therapeutic targets in lung adenocarcinoma.
Overview
- Department of Radiation Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine,507 Zhengmin Road, 200082 Shanghai, China
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University,218 Jixi Road, 230022 Hefei, China
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
Data links
- ncbi.nlm.nih.gov/
geo , NCBI; found in “Data availability”
Data availability statement
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Read it in the paper: doi.org/10.1186/s12935-026-04370-8.
Versions
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Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 10 authors, 5 keywords, 6 funders, 68 references.
Cite
This paper
Pang, J., Wu, W., Zhu, P., Luo, S., Xiong, Y., Luo, X., Chen, S., Cheng, Q., Du, Y., & Gong, X. (2026). Machine learning-based prognostic model and single-cell transcriptomic integration for identifying brain metastasis-associated malignant subpopulations and potential therapeutic targets in lung adenocarcinoma. Cancer cell international, 26(1), 313. https://
BibTeX
@article{pang2026machine
author = {Pang, Jingdan and Wu, Wentian and Zhu, Peiwen and Luo, Shilan and Xiong, Yanghai and Luo, Xiesong and Chen, Sheng and Cheng, Qianwen and Du, Yingying and Gong, Xiaomei},
title = {{Machine learning-based prognostic model and single-cell transcriptomic integration for identifying brain metastasis-associated malignant subpopulations and potential therapeutic targets in lung adenocarcinoma}},
journal = {Cancer cell international},
year = {2026},
month = jul,
volume = {26},
number = {1},
pages = {313},
publisher = {BMC},
issn = {1475-2867},
doi = {10.1186/
url = {https://
pmid = {42443906},
pmcid = {PMC13579860}
}
RIS
TY - JOUR
AU - Pang, Jingdan
AU - Wu, Wentian
AU - Zhu, Peiwen
AU - Luo, Shilan
AU - Xiong, Yanghai
AU - Luo, Xiesong
AU - Chen, Sheng
AU - Cheng, Qianwen
AU - Du, Yingying
AU - Gong, Xiaomei
TI - Machine learning-based prognostic model and single-cell transcriptomic integration for identifying brain metastasis-associated malignant subpopulations and potential therapeutic targets in lung adenocarcinoma
T2 - Cancer cell international
J2 - Cancer Cell Int
PY - 2026
DA - 2026/
VL - 26
IS - 1
SP - 313
SN - 1475-2867
PB - BMC
DO - 10.1186/
UR - https://
LA - en
ER -
CSL-JSON
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