Evidence map›Paper›PMID 34304708›Full record

ArticleBioengineered2021

Pan-cancer analysis of clinical significance and associated molecular features of glycolysis.

Yi-Chen Liu, Peng Lin, Yu-Jia Zhao, Lin-Yong Wu, Yu-Quan Wu, Jin-Bo Peng, Yun He, Hong Yang

Open access · goldAbstract read
In one paragraph

Article in Bioengineered, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Yi-Chen LiuDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Peng LinDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yu-Jia ZhaoDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Lin-Yong WuDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yu-Quan WuDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Jin-Bo PengDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Yun HeDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Hong YangDepartment of Medical Ultrasound, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guangxi Medical University · CNFirst Affiliated Hospital of GuangXi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor glycolysis is a major promoter of carcinogenesis and cancer progression. Given its complex mechanisms and interactions, comprehensive analysis is needed to reveal its clinical significance and molecular features. On the basis of a well-established glycolysis gene expression signature, we quantified 8633 patients with different cancer types from the Cancer Genome Atlas (TCGA) and evaluated their prognostic associations. High tumor glycolytic activity correlated with inferior overall survival in the pan-cancer patients (hazard ratio: 1.70, 95% confidence interval: 1.20-2.40, P = 0.003). The prognostic value of glycolysis correlated with the molecular subtypes and was stable regardless of clinical parameters. The prognostic significance of glycolysis was validated using three independent datasets. In addition, genome, transcriptome, and proteome profiles were utilized to characterize the distinctive molecular features associated with glycolysis. Mechanistically, glycolysis fulfilled the fundamental needs of tumor proliferation in multiple ways. Exploration of the relationships between glycolysis and tumor-infiltrating immune cells showed that glycolysis enabled the immune evasion of tumor cells. Mammalian target of rapamycin (mTOR) inhibitors and dopamine receptor antagonists can effectively reverse the glycolytic status of cancers. Overall, our study provides an in-depth molecular understanding of tumor glycolysis and may have practical implications for clinical cancer therapy.

Indexed as

NeoplasmsComputational BiologyFemaleGene Expression Regulation, NeoplasticGlycolysisHumansMaleMiddle AgedPrognosisTranscriptomeTumor EscapeGlycolysisimmune evasionmulti-omicspan-cancer

Identifiers

PMID34304708
PMCPMC8806880
OpenAlexW3131869794

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.