Evidence map›Paper›PMID 24895601›Full record

ArticleBioMed research international2014

Multiple regression analysis of mRNA-miRNA associations in colorectal cancer pathway.

Fengfeng Wang, S C Cesar Wong, Lawrence W C Chan, William C S Cho, S P Yip, Benjamin Y M Yung

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

17 citing papers in PubMed, 24 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Fengfeng WangDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
S C Cesar WongDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
Lawrence W C ChanDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
William C S ChoDepartment of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong.
S P YipDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
Benjamin Y M YungDepartment of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong.
Hong Kong Polytechnic University · HKQueen Elizabeth Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNA (miRNA) is a short and endogenous RNA molecule that regulates posttranscriptional gene expression. It is an important factor for tumorigenesis of colorectal cancer (CRC), and a potential biomarker for diagnosis, prognosis, and therapy of CRC. Our objective is to identify the related miRNAs and their associations with genes frequently involved in CRC microsatellite instability (MSI) and chromosomal instability (CIN) signaling pathways.

resultsA regression model was adopted to identify the significantly associated miRNAs targeting a set of candidate genes frequently involved in colorectal cancer MSI and CIN pathways. Multiple linear regression analysis was used to construct the model and find the significant mRNA-miRNA associations. We identified three significantly associated mRNA-miRNA pairs: BCL2 was positively associated with miR-16 and SMAD4 was positively associated with miR-567 in the CRC tissue, while MSH6 was positively associated with miR-142-5p in the normal tissue. As for the whole model, BCL2 and SMAD4 models were not significant, and MSH6 model was significant. The significant associations were different in the normal and the CRC tissues.

conclusionOur results have laid down a solid foundation in exploration of novel CRC mechanisms, and identification of miRNA roles as oncomirs or tumor suppressor mirs in CRC.

Indexed as

Gene Expression Regulation, NeoplasticColorectal NeoplasmsDatabases, GeneticGenetic Association StudiesHumansMicroRNAsMicrosatellite InstabilityNeoplasm ProteinsRegression AnalysisRNA, MessengerSignal TransductionMicroRNAsNeoplasm ProteinsRNA, Messenger

Identifiers

PMID24895601
PMCPMC4033420
OpenAlexW2002858107

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.