Evidence map›Paper›PMID 34163562›Full record

ArticleGenes & cancer2021

Pairwise correlation of genes involved in glucose metabolism: a potential diagnostic marker of cancer?

Meena Kishore Sakharkar, Karthic Rajamanickam, Shaoping Ji, Sarinder Kaur Dhillon, Jian Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes & cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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.

Meena Kishore SakharkarDrug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
Karthic RajamanickamDrug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.
Shaoping JiHenan Provincial Engineering Centre for Tumor Molecular Medicine, Institute of Molecular Medicine, School of Basic Medical Sciences, Henan University, Kaifeng, Henan Province 474004, P.R. of China.
Sarinder Kaur DhillonInstitute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia.
Jian YangDrug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is a highly malignant disease, killing approximately 10 million people worldwide in 2020. Cancer patient survival substantially relies on early diagnosis. In this study, we evaluated whether genes involved in glucose metabolism could be used as potential diagnostic markers for cancer. In total, 127 genes were examined for their gene expression levels and pairwise gene correlations. Genes

Indexed as

diagnostic markergene expressiongene pair correlationpan-cancer analysisprotein-protein interaction network

Identifiers

PMID34163562
PMCPMC8211569

What OpenQuestion holds

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LicenceCC BY
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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.