Evidence map›Paper›PMID 35253734›Full record

ArticleCancer biomarkers : section A of Disease markers2022

Comprehensive analysis of negatively correlated miRNA-mRNA regulatory pairs associated with microsatellite instability in colorectal cancer.

Cheng Liu, Xuan Zou, Guoxin Song, Xingchen Fan, Shuang Peng, Shiyu Zhang, Xiangnan Geng, Xin Zhou, Tongshan Wang, Wenfang Cheng and 1 more

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 98% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
4 · The record

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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

11 authors at 2 institutions in 1 country.

Cheng LiuDepartment of Gastroenterology, Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Xuan ZouDepartment of Medical Oncology, Fudan University Shanghai Cancer Center, Shanghai, China.
Guoxin SongDepartment of Pathology, Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Xingchen FanDepartment of Oncology, Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Shuang PengDepartment of Oncology, Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Shiyu ZhangDepartment of Oncology, Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Xiangnan GengDepartment of Clinical Engineer, Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Xin ZhouDepartment of Oncology, Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Tongshan WangDepartment of Oncology, Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Wenfang ChengDepartment of Gastroenterology, Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Wei ZhuDepartment of Oncology, Jiangsu Province People's Hospital and Nanjing Medical University First Affiliated Hospital, Nanjing, Jiangsu, China.
Nanjing Medical University · CNFudan University Shanghai Cancer Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral studies have demonstrated that microRNAs (miRNAs) and target mRNAs are associated with different frequencies of microsatellite instability.

objectiveThe study aimed to elucidate the profiles of miRNAs and target mRNAs expression and their associations with the phenotypic hallmarks of microsatellite instability in colorectal cancers (CRC) by integrating transcriptomic, immunophenotype, methylation, mutation, and survival data.

methodsDifferentially expressed miRNAs (DEmiRNAs) and mRNAs (DEmRNAs) were screened out and then the miRNA-mRNA regulatory pairs were identified through two databases. We verified that the expression levels were detected in 40 microsatellite instable (MSI) and 40 microsatellite stable (MSS) CRC samples and used the logistic regression and the Cox regression method to evaluate the diagnostic and prognostic value of negative regulatory pairs respectively.

resultsThe best diagnostic model that combines miR-31-5p, PLAGL2, miR-361-5p, and RAB27B, which were associated with immune microenvironment, tumor mutation burden (TMB), and overall DNA methylation, could significantly predict microsatellite instability in colon tissues. MiR-31-5p and RAB27B could also predict the overall survival of MSS CRCs.

conclusionThis study generated a predictive model of the combination of miRNAs and mRNAs to distinguish MSI versus MSS CRCs and elaborated their potential molecular mechanisms and biological functions.

Indexed as

Colorectal NeoplasmsMicroRNAsBiomarkers, TumorDNA-Binding ProteinsHumansMicrosatellite InstabilityRNA-Binding ProteinsRNA, MessengerTranscription FactorsTumor MicroenvironmentBiomarkers, TumorDNA-Binding ProteinsMicroRNAsPLAGL2 protein, humanRNA-Binding ProteinsRNA, MessengerTranscription Factorscolorectal cancermicrosatellite instabilitymiRNAmiRNA-mRNA networks

Identifiers

PMID35253734
PMCPMC12364188
OpenAlexW4214556551

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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.