Evidence map›Paper›PMID 32285560›Full record

ArticleJournal of cellular and molecular medicine2020

Metabolic reprogramming-associated genes predict overall survival for rectal cancer.

Zhong-Yi Zhang, Qing-Zhi Yao, Hui-Yong Liu, Qiao-Nan Guo, Peng-Jun Qiu, Jian-Peng Chen, Jian-Qing Lin

Abstract read
In one paragraph

Article in Journal of cellular and molecular medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–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

16 citing papers in PubMed.

  1. Article
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  4. Human sulfotransferaseFrontiers in genetics · 2024
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  11. Inhibition of DNAJC12 Inhibited Tumorigenesis of Rectal Cancer via Downregulating HSPA4 Expression.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  12. Article
  13. Article
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  16. A Ten-NFrontiers in oncology · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Zhong-Yi ZhangDepartments of Oncological Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Qing-Zhi YaoDepartments of Oncological Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Hui-Yong LiuDepartments of Oncological Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Qiao-Nan GuoDepartments of Oncological Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Peng-Jun QiuDepartments of Oncological Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Jian-Peng ChenDepartments of Oncological Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
Jian-Qing LinDepartments of Oncological Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.ORCID 0000-0002-9035-1693

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic reprogramming has become a hot topic recently in the regulation of tumour biology. Although hundreds of altered metabolic genes have been reported to be associated with tumour development and progression, the important prognostic role of these metabolic genes remains unknown. We downloaded messenger RNA expression profiles and clinicopathological data from The Cancer Genome Atlas and the Gene Expression Omnibus database to uncover the prognostic role of these metabolic genes. Univariate Cox regression analysis and lasso Cox regression model were utilized in this study to screen prognostic associated metabolic genes. Patients with high-risk demonstrated significantly poorer survival outcomes than patients with low-risk in the TCGA database. Also, patients with high-risk still showed significantly poorer survival outcomes than patients with low-risk in the GEO database. What is more, gene set enrichment analyses were performed in this study to uncover significantly enriched GO terms and pathways in order to help identify potential underlying mechanisms. Our study identified some survival-related metabolic genes for rectal cancer prognosis prediction. These genes might play essential roles in the regulation of metabolic microenvironment and in providing significant potential biomarkers in metabolic treatment.

Indexed as

Genes, NeoplasmDatabases, GeneticDown-RegulationGene Expression ProfilingGene Expression Regulation, NeoplasticGene OntologyHumansMultivariate AnalysisPrognosisProportional Hazards ModelsRectal NeoplasmsReproducibility of ResultsRisk FactorsSurvival AnalysisUp-Regulationmetabolic reprogrammingprognosticrectal cancersurvival analysis

Identifiers

PMID32285560
PMCPMC7214181

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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.