Evidence map›Paper›PMID 36837790›Full record

ArticleMetabolites2023

Metabolic Modeling Identifies a Novel Molecular Type of Glioblastoma Associated with Good Prognosis.

Qiu Shen, Hua Yang, Qing-Peng Kong, Gong-Hua Li, Li Li

Open access · goldAbstract read
In one paragraph

Article in Metabolites, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

5 authors at 3 institutions in 1 country.

Qiu ShenThe First Hospital of Kunming, Kunming 650600, China.
Hua YangThe Third People's Hospital of Yunnan Province, Kunming 650600, China.
Qing-Peng KongState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.ORCID 0000-0002-6046-4494
Gong-Hua LiState Key Laboratory of Genetic Resources and Evolution/Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, China.ORCID 0000-0002-9311-6613
Li LiThe First Hospital of Kunming, Kunming 650600, China.
Kunming Institute of Zoology · CNThe First Hospital of Kunming · CNThird People's Hospital of Yunnan Province · CN

Funding

High-level Talent Promotion and Training Project of Kunming Spring City Plan; 2020SCP001the State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, CAS GREKF19-06 to H.Y. and GREKF22-05 to Q.SUniversity-level Key Project of the 14th Five-Year Plan of Kunming Medical University 601202227Yunling Scholar of Yunnan Province, Yunnan clinical medical center of organ transplantation ZX2019-07-01Yunnan Fundamental Research Projects 202101AS070058
6 · The paper itself

Abstract

Glioblastoma (GBM) is one of the most aggressive forms of cancer. Although IDH1 mutation indicates a good prognosis and a potential target for treatment, most GBMs are IDH1 wild-type. Identifying additional molecular markers would help to generate personalized therapies and improve patient outcomes. Here, we used our recently developed metabolic modeling method (genome-wide precision metabolic modeling, GPMM) to investigate the metabolic profiles of GBM, aiming to identify additional novel molecular markers for this disease. We systematically analyzed the metabolic reaction profiles of 149 GBM samples lacking IDH1 mutation. Forty-eight reactions showing significant association with prognosis were identified. Further analysis indicated that the purine recycling, nucleotide interconversion, and folate metabolism pathways were the most robust modules related to prognosis. Considering the three pathways, we then identified the most significant GBM type for a better prognosis, namely N

Indexed as

cancer prognosisglioblastomaGPMMmetabolic modelingmetabolic pathway

Identifiers

PMID36837790
PMCPMC9964559
OpenAlexW4317933258

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.