Integrative bioinformatics analysis unveils neuro-cancer crosstalk-related genes and establishes prognostic risk model in Glioblastoma.
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Abstract
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Code
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Data
Datasets cited
- ncbi.nlm.nih.gov/
geoprofiles , at NCBI; found in the text, “Data download and preprocessing”
Other data links
- ncbi.nlm.nih.gov/
geo , NCBI; found in “Data availability”
Data availability statement
The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:
- it points to a dataset: NCBI
Read it in the paper: doi.org/10.1038/s41598-026-51730-5.
Versions
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Version 1, 28 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 7 authors, 10 keywords, 13 MeSH terms, 39 references.
Cite
This paper
Zeng, L., Li, D., Du, M., Wu, T., Liao, Y., Huang, Y., & Liao, X. (2026). Integrative bioinformatics analysis unveils neuro-cancer crosstalk-related genes and establishes prognostic risk model in Glioblastoma. Scientific reports, 16(1), 21699. https://
BibTeX
@article{zeng2026integra
author = {Zeng, Lin and Li, Dingjun and Du, Mengyu and Wu, Tao and Liao, Yun and Huang, Yuxing and Liao, Xingyu},
title = {{Integrative bioinformatics analysis unveils neuro-cancer crosstalk-related genes and establishes prognostic risk model in Glioblastoma}},
journal = {Scientific reports},
year = {2026},
month = may,
volume = {16},
number = {1},
pages = {21699},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/
url = {https://
pmid = {42120472},
pmcid = {PMC13357736}
}
RIS
TY - JOUR
AU - Zeng, Lin
AU - Li, Dingjun
AU - Du, Mengyu
AU - Wu, Tao
AU - Liao, Yun
AU - Huang, Yuxing
AU - Liao, Xingyu
TI - Integrative bioinformatics analysis unveils neuro-cancer crosstalk-related genes and establishes prognostic risk model in Glioblastoma
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/
VL - 16
IS - 1
SP - 21699
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/
UR - https://
LA - en
ER -
CSL-JSON
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{
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{
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}
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"page": "21699",
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"PMID": "42120472",
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"ISSN": "2045-2322",
"publisher": "Nature Publishing Group",
"URL": "https://
"language": "en",
"issued": {
"date-parts": [
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