Evidence map›Paper›PMID 32635458›Full record

ArticleCancers2020

Characterization of Glycolysis-Associated Molecules in the Tumor Microenvironment Revealed by Pan-Cancer Tissues and Lung Cancer Single Cell Data.

Jinfen Wei, Kaitang Huang, Zixi Chen, Meiling Hu, Yunmeng Bai, Shudai Lin, Hongli Du

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
6.9field-weighted citation impact, top 2% 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

83 citing papers in PubMed, 166 citations in OpenAlex.

  1. Trial
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  4. Pancancer Analysis and the Oncogenic Role ofInternational journal of molecular sciences · 2026
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  12. Overexpression ofJournal of biomedical research · 2025
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  13. Genes & diseases · 2025
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  14. Article
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  19. Article
  20. Article

23 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Jinfen WeiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Kaitang HuangSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.ORCID 0000-0001-7235-6952
Zixi ChenSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Meiling HuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Yunmeng BaiSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Shudai LinSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
Hongli DuSchool of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.
South China University of Technology · CN

Funding

the Key R&D Program of Guangdong Province 2019B020226001the National Key R&D Program of China 2018YFC0910201the Science and the Technology Planning Project of Guangzhou 201704020176
6 · The paper itself

Abstract

Altered metabolism is a hallmark of cancer and glycolysis is one of the important factors promoting tumor development. There is however still a lack of molecular characterization glycolysis and comprehensive studies related to tumor glycolysis in the pan-cancer landscape. Here, we applied a gene expression signature to quantify glycolysis in 9229 tumors across 25 cancer types and 7875 human lung cancer single cells and verified the robustness of signature using defined glycolysis samples from previous studies. We classified tumors and cells into glycolysis score-high and -low groups, demonstrated their prognostic associations, and identified genome and transcriptome molecular features associated with glycolysis activity. We observed that glycolysis score-high tumors were associated with worse prognosis across cancer types. High glycolysis tumors exhibited specific driver genes altered by copy number aberrations (CNAs) in most cancer types. Tricarboxylic acid (TCA) cycle, DNA replication, tumor proliferation and other cancer hallmarks were more active in glycolysis-high tumors. Glycolysis signature was strongly correlated with hypoxia signature in all 25 cancer tissues (r > 0.7) and cancer single cells (r > 0.8). In addition,

Indexed as

cancer single-cellcell proliferationglycolysisHSPA8P4HA1pan-cancertumor hypoxia microenvironment

Identifiers

PMID32635458
PMCPMC7408567
OpenAlexW3039052305

What OpenQuestion 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 OpenQuestion graph.