Evidence map›Paper›PMID 33627136›Full record

ArticleBMC medicine2021

Glycolysis-associated lncRNAs identify a subgroup of cancer patients with poor prognoses and a high-infiltration immune microenvironment.

Kuo-Hao Ho, Tzu-Wen Huang, Chwen-Ming Shih, Yi-Ting Lee, Ann-Jeng Liu, Peng-Hsu Chen, Ku-Chung Chen

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 6% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 2 institutions in 1 country.

Kuo-Hao HoGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Tzu-Wen HuangGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Chwen-Ming ShihGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Yi-Ting LeeGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Ann-Jeng LiuDepartment of Neurosurgery, Taipei City Hospital Ren-Ai Branch, Taipei, Taiwan.
Peng-Hsu ChenGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan.
Ku-Chung ChenGraduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei, Taiwan. kuchung@tmu.edu.tw.ORCID 0000-0002-4696-3924
Taipei Medical University · TWTaipei City Hospital · TW

Funding

Ministry of Science and Technology, Taiwan MOST 109-2320-B-038-014Taipei City Government 10801-62-082Taipei City Hospital Ren-Ai Branch TPCH-109-10
6 · The paper itself

Abstract

backgroundLong noncoding (lnc)RNAs and glycolysis are both recognized as key regulators of cancers. Some lncRNAs are also reportedly involved in regulating glycolysis metabolism. However, glycolysis-associated lncRNA signatures and their clinical relevance in cancers remain unclear. We investigated the roles of glycolysis-associated lncRNAs in cancers.

methodsGlycolysis scores and glycolysis-associated lncRNA signatures were established using a single-sample gene set enrichment analysis (GSEA) of The Cancer Genome Atlas pan-cancer data. Consensus clustering assays and genomic classifiers were used to stratify patient subtypes and for validation. Fisher's exact test was performed to investigate genomic mutations and molecular subtypes. A differentially expressed gene analysis, with GSEA, transcription factor (TF) activity scoring, cellular distributions, and immune cell infiltration, was conducted to explore the functions of glycolysis-associated lncRNAs.

resultsGlycolysis-associated lncRNA signatures across 33 cancer types were generated and used to stratify patients into distinct clusters. Patients in cluster 3 had high glycolysis scores and poor survival, especially in bladder carcinoma, low-grade gliomas, mesotheliomas, pancreatic adenocarcinomas, and uveal melanomas. The clinical significance of lncRNA-defined groups was validated using external datasets and genomic classifiers. Gene mutations, molecular subtypes associated with poor prognoses, TFs, oncogenic signaling such as the epithelial-to-mesenchymal transition (EMT), and high immune cell infiltration demonstrated significant associations with cluster 3 patients. Furthermore, five lncRNAs, namely MIR4435-2HG, AC078846.1, AL157392.3, AP001273.1, and RAD51-AS1, exhibited significant correlations with glycolysis across the five cancers. Except MIR4435-2HG, the lncRNAs were distributed in nuclei. MIR4435-2HG was connected to glycolysis, EMT, and immune infiltrations in cancers.

conclusionsWe identified a subgroup of cancer patients stratified by glycolysis-associated lncRNAs with poor prognoses, high immune infiltration, and EMT activation, thus providing new directions for cancer therapy.

Indexed as

FemaleGene Expression Regulation, NeoplasticGlycolysisHumansMaleMicroRNAsRNA, Long NoncodingTumor MicroenvironmentMicroRNAsRNA, Long NoncodingEpithelial-to-mesenchymal transition (EMT)GlycolysisImmune infiltrationsLong noncoding RNAs (lncRNAs)MIR4435-2HG

Identifiers

PMID33627136
PMCPMC7905662
OpenAlexW3129827967

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.