Evidence map›Paper›PMID 37540697›Full record

ArticlePloS one2023

In silico analysis and experimental validation shows negative correlation between miR-1183 and cell cycle progression gene 1 expression in colorectal cancer.

Syeda Alina Fatima, Mubeen Tabish Nasim, Ambrin Malik, Saif Ur Rehman, Saboora Waris, Manal Rauf, Syed Salman Ali, Farhan Haq, Hassaan Mehboob Awan

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
0.7field-weighted citation impact, top 24% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 4 institutions in 3 countries.

Syeda Alina FatimaDepartment of Biosciences, Cancer Genetics and Epigenetics Lab, COMSATS University Islamabad, Islamabad, Pakistan.
Mubeen Tabish NasimDepartment of Biosciences, Cancer Genetics and Epigenetics Lab, COMSATS University Islamabad, Islamabad, Pakistan.
Ambrin MalikDepartment of Biosciences, Cancer Genetics and Epigenetics Lab, COMSATS University Islamabad, Islamabad, Pakistan.
Saif Ur RehmanDepartment of Biosciences, Cancer Genetics and Epigenetics Lab, COMSATS University Islamabad, Islamabad, Pakistan.
Saboora WarisMaroof International Hospital, Islamabad, Pakistan.
Manal RaufPakistan Institute of Medical Sciences, Islamabad, Pakistan.
Syed Salman AliCombined Military Hospital, Kharian, Pakistan.
Farhan HaqDepartment of Biosciences, Cancer Genetics and Epigenetics Lab, COMSATS University Islamabad, Islamabad, Pakistan.
Hassaan Mehboob AwanDepartment of Biosciences, Cancer Genetics and Epigenetics Lab, COMSATS University Islamabad, Islamabad, Pakistan.ORCID 0000-0002-8245-8909
COMSATS University Islamabad · PKBarts Health NHS Trust · GBPakistan Institute of Medical Sciences · PKShifa International Hospital · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small noncoding RNAs that post-transcriptionally regulate gene expression by binding to the 3' untranslated regions (UTR) of target genes. Aberrant expression of miRNAs can lead to disease, including cancer. Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. Among several factors, differential expression of miRNA can have serious consequences on disease progression. This study was designed to computationally identify and experimentally verify strong miRNA candidates that could influence CRC progression. In silico analysis of publicly available gene expression microarray datasets revealed significant upregulation of miR-1183 in CRC. Comparison of mRNA microarray expression data with predicted miR-1183 targets led to the identification of cell cycle progression gene 1 (CCPG1) as strong, negatively correlated miR-1183 target. Expression analysis by means of quantitative PCR validated the inverse correlation between miR-1183 and CCPG1 in colorectal cancer tissues. CCPG1 indirectly modulates the cell cycle by interacting with the PH/DH domain of Dbs (Rho-specific guanine nucleotide exchange factor). Interestingly, the computational analysis also showed that miR-1183 is upregulated in liver and gastric cancer. This finding is notable as the liver and stomach are the primary metastatic sites for colorectal cancer and hepatocellular carcinoma respectively. This novel finding highlights the broader implications of miR-1183 dysregulation beyond primary CRC, potentially serving as a valuable prognostic marker and a therapeutic target for both primary and metastatic CRC.

Indexed as

Colorectal NeoplasmsMicroRNAsCell CycleGene Expression Regulation, NeoplasticHumansUp-RegulationMicroRNAs

Identifiers

PMID37540697
PMCPMC10403070
OpenAlexW4385574817

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.