Evidence map›Paper›PMID 39272133›Full record

ReviewCancer cell international2024

Glucose metabolism in glioma: an emerging sight with ncRNAs.

Jun Rong, Qifu Wang, Tingzheng Li, Jin Qian, Jinchao Cheng

Abstract readReview
In one paragraph

Review in Cancer cell international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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.

Jun Rong *Department of Neurosurgery, Xuancheng People's Hospital, The Affiliated Xuancheng Hospital of Wannan Medical College, Xuancheng, People's Republic of China.
Qifu Wang *Department of Neurosurgery, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), WuHu, People's Republic of China.
Tingzheng LiDepartment of Neurosurgery, Xuancheng Central Hospital, Xuancheng, People's Republic of China.
Jin QianDepartment of Neurosurgery, Xuancheng People's Hospital, The Affiliated Xuancheng Hospital of Wannan Medical College, Xuancheng, People's Republic of China. u97a91zyztugfl@163.com.
Jinchao ChengDepartment of Neurosurgery, Xuancheng Central Hospital, Xuancheng, People's Republic of China. chengjc@ldy.edu.rs.

Funding

Key Research and Development Program of Anhui Province 202004j07020049
6 · The paper itself

Abstract

Glioma is a primary brain tumor that grows quickly, has an unfavorable prognosis, and can spread intracerebrally. Glioma cells rely on glucose as the major energy source, and glycolysis plays a critical role in tumorigenesis and progression. Substrate utilization shifts throughout glioma progression to facilitate energy generation and biomass accumulation. This metabolic reprogramming promotes glioma cell proliferation and metastasis and ultimately decreases the efficacy of conventional treatments. Non-coding RNAs (ncRNAs) are involved in several glucose metabolism pathways during tumor initiation and progression. These RNAs influence cell viability and glucose metabolism by modulating the expression of key genes of the glycolytic pathway. They can directly or indirectly affect glycolysis in glioma cells by influencing the transcription and post-transcriptional regulation of oncogenes and suppressor genes. In this review, we discussed the role of ncRNAs in the metabolic reprogramming of glioma cells and tumor microenvironments and their abnormal expression in the glucometabolic pathway in glioma. In addition, we consolidated the existing theoretical knowledge to facilitate the use of this emerging class of biomarkers as biological indicators and potential therapeutic targets for glioma.

Indexed as

GliomaGlycolysisncRNAsWarburg effect

Identifiers

PMID39272133
PMCPMC11395608

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.