OSCR

Development of a metabolic subtype classifier for low-grade glioma to guide precision therapy.

Overview

Authors: Yiqi Tan1, Le Zeng1, Ganghua Zhang1, Jianing Fang1, Zhijing Yin1, Wenzhi Deng2, Ke Cao1, Jiaode Jiang3
  1. Department of Oncology, Third Xiangya Hospital, Central South University, Changsha, China
  2. Department of Pathology, Third Xiangya Hospital, Central South University, Changsha, China
  3. Department of Neurosurgery, Third Xiangya Hospital, Central South University, Changsha, China
Journal: Discover oncology, volume 17, issue 1, article 844
Dates: received 4 October 2025; accepted 31 March 2026; published online 21 April 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1007/s12672-026-04935-z · PMID 42014657 · PMCID PMC13234030 · OpenAlex W4417368930
Open access: gold, a free copy (OpenAlex)
Status: code verified
Categories: human (organism), other condition (population), clinical / translational (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Connectivity
Keywords: Low-grade glioma;, Metabolism, Machine learning, Artificial neural network, Prognosis
Topic: Glioma Diagnosis and Treatment (Genetics, Medicine), according to OpenAlex
Funding: Natural Science Foundation of Hunan Province (2024JJ3044, 2024JJ5534); Major Scientific Research Project for High-Level Talents in Health of Hunan Province (20230566); the Hunan Provincial Postgraduate Research and Innovation Project (2025ZZTS0881); National Natural Science Foundation of China (82473260); the Key Scientific Research Project in Health of Hunan Province (20257668); he Wisdom Accumulation and Talent Cultivation Project of the Third Xiangya Hospital of Central South University (BJ202001)
Citations: not cited yet (Europe PMC); 26 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

No file of the authors' code could be read here: it is described below, and read at its source.

jianguoyun.com/p/dzy6btiqjnlpchiz6oogiaa](https:

License: none: the authors keep all their rights
State: the link answers, verified on 29 September 2026
Evidence: the link answers
Software Heritage: not checked
Found in: “Data availability”
Not found: README, license file, CITATION.cff, environment file, tests, continuous integration, documentation
Availability: 1 check, the latest on 29 September 2026: the link answers (HTTP 200)
  • 29 September 2026: the link answers (HTTP 200)

The paper's code and data availability statement is in the Data section.

Tracing map

Proposed by the machine: these links were found in the paper and verified at the source, without human review. The map will receive a Zenodo DOI once one of the paper's authors has validated it with their ORCID.

What the map holds:

  • 1 repository of the authors' code, each at its verified commit, with its license and how the link was found in the paper;
  • 0 scripts, each with its path and the digest of its content;
  • no match between paragraphs and code yet;
  • neither the text of the paper nor the code itself.

Its JSON (tracing-map.json) is deposited on Zenodo with its DOI once the map is validated.

Data

No dataset and no data link were found in the paper.

Code and data availability statement

The paper has a code and data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1007/s12672-026-04935-z.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 5 keywords, 6 funders, 26 references.

Cite

This paper

Tan, Y., Zeng, L., Zhang, G., Fang, J., Yin, Z., Deng, W., Cao, K., & Jiang, J. (2026). Development of a metabolic subtype classifier for low-grade glioma to guide precision therapy. Discover oncology, 17(1), 844. https://doi.org/10.1007/s12672-026-04935-z

BibTeX

@article{tan2026development,
author = {Tan, Yiqi and Zeng, Le and Zhang, Ganghua and Fang, Jianing and Yin, Zhijing and Deng, Wenzhi and Cao, Ke and Jiang, Jiaode},
title = {{Development of a metabolic subtype classifier for low-grade glioma to guide precision therapy}},
journal = {Discover oncology},
year = {2026},
month = apr,
volume = {17},
number = {1},
pages = {844},
publisher = {Springer},
issn = {2730-6011},
doi = {10.1007/s12672-026-04935-z},
url = {https://doi.org/10.1007/s12672-026-04935-z},
pmid = {42014657},
pmcid = {PMC13234030}
}

RIS

TY - JOUR
AU - Tan, Yiqi
AU - Zeng, Le
AU - Zhang, Ganghua
AU - Fang, Jianing
AU - Yin, Zhijing
AU - Deng, Wenzhi
AU - Cao, Ke
AU - Jiang, Jiaode
TI - Development of a metabolic subtype classifier for low-grade glioma to guide precision therapy
T2 - Discover oncology
J2 - Discov Oncol
PY - 2026
DA - 2026/04/21
VL - 17
IS - 1
SP - 844
SN - 2730-6011
PB - Springer
DO - 10.1007/s12672-026-04935-z
UR - https://doi.org/10.1007/s12672-026-04935-z
LA - en
ER -

CSL-JSON

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The tracing map gets a citation of its own once an author has validated it and it has a DOI.

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