Evidence map›Paper›PMID 37273107›Full record

ArticleJournal of cancer research and clinical oncology2023

Turning off a few overexpressed genes in prostate cancer with microRNAs using a 7mer-seed match model.

Arpita Purkayastha, Aparajita Roy, Stella Bharadaj, Srinjay Kumar Bharadaj, Supriyo Chakraborty

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 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
0.5field-weighted citation impact, top 27% 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

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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

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 at 3 institutions in 1 country.

Arpita PurkayasthaDepartment of Biotechnology, Assam University, Silchar, Assam, 788011, India.
Aparajita RoyDepartment of Biotechnology, Assam University, Silchar, Assam, 788011, India.
Stella BharadajSilchar Medical College and Hospital, Silchar, Assam, 788014, India.
Srinjay Kumar BharadajTezpur Medical College and Hospital, Tezpur, Assam, 784010, India.
Supriyo ChakrabortyDepartment of Biotechnology, Assam University, Silchar, Assam, 788011, India. chsupriyo2022@gmail.com.
Assam University · INSilchar Medical College and Hospital · INTezpur Medical College & Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis research aims to identify the miRNAs that could target the genes overexpressed in prostate cancer so that miRNA-based therapeutics could be developed.

methodsA 7mer-m8 model of microRNA targeting was utilized in order to analyse the relationship between microRNAs and overexpressed genes. The efficiency of miRNA binding was investigated using various parameters namely free energy (AMFE), GC and GC3 content, translation efficiency, cosine similarity metric, mRNA stability, free energy of RNA duplex, and base compositional difference. BLAST2GO software was used to elucidate the functional roles of the genes overexpressed in prostate cancer.

resultsThe current research reveals that the coding sequences of the genes were found targeted with multiple miRNAs. For instance, the HPN gene was targeted by the microRNA miR-4279 at two distinct sites i.e. 263-278 and 746-761 in the coding sequence. In the present study, it was observed that the target region of the genes exhibited a comparatively high GC and GC3 contents in comparison to the flanking regions. A low translational rate and weak relationship between RSCU and tRNA were obtained which may be due to the absence of optimal codons.

conclusionIn this study, we have uncovered the human miRNAs that have potential for binding to the coding sequences of 14 most overexpressed genes in prostate cancer and thereby could silence those genes.

Indexed as

MicroRNAsProstatic NeoplasmsExonsHumansMaleMicroRNAs7mer-seed match modelmiRNA-target predictionOverexpressed genesProstate cancerTherapeutic strategyTranslation rate

Identifiers

PMID37273107
PMCPMC11796661
OpenAlexW4379376444

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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.