Evidence map›Paper›PMID 37397988›Full record

ArticleResearch square2023

Analyzing aberrant DNA methylation in Colorectal cancer uncovered intangible heterogeneity of gene effects in the survival time of patients.

Saeedeh Hajebi Khaniki, Farhad Shokoohi, Habibollah Esmaily, Mohammad Amin Kerachian

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Saeedeh Hajebi KhanikiDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Farhad ShokoohiDepartment of Mathematical Sciences, University of Nevada-Las Vegas, Las Vegas, NV 89154, USA.
Habibollah EsmailyDepartment of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad Amin KerachianMedical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Mashhad University of Medical Sciences · IRUniversity of Nevada, Las Vegas · US

Funding

The Genome Analysis and Sequencing Pipeline (GASP)P20GM121325 · NIGMS · UNIVERSITY OF NEVADA LAS VEGAS · PI CHEN, JINGCHUN · 2018 to 2022
$11.5M
NIGMS NIH HHS P20 GM121325
6 · The paper itself

Abstract

Colorectal cancer (CRC) involves epigenetic alterations. Irregular gene-methylation alteration causes and advances CRC tumor growth. Detecting differentially methylated genes (DMGs) in CRC and patient survival time paves the way to early cancer detection and prognosis. However, CRC data including survival times are heterogeneous. Almost all studies tend to ignore the heterogeneity of DMG effects on survival. To this end, we utilized a sparse estimation method in the finite mixture of accelerated failure time (AFT) regression models to capture such heterogeneity. We analyzed a dataset of CRC and normal colon tissues and identified 3,406 DMGs. Analysis of overlapped DMGs with several Gene Expression Omnibus datasets led to 917 hypo- and 654 hyper-methylated DMGs. CRC pathways were revealed via gene ontology enrichment. Hub genes were selected based on Protein-Protein-Interaction network including

Identifiers

PMID37397988
PMCPMC10312929
OpenAlexW4378652940

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.