Let-7a and miR-34a Interplay Potent Suppressive Roles in Hepatocellular Carcinoma via Co-Targeting

Bangly Soliman, Ahmed Fawzy Ibrahim, Ahmed Salem, Mohamed Ghazy, Mahmoud T Abo-Elfadl, Mahmoud ElHefnawi, Mario Flores

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In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Bangly SolimanDepartment of Biochemistry, Faculty of Science, Ain Shams University, Cairo 1156, Egypt.

Ahmed Fawzy IbrahimLife Science and IVD Department, Attana AB, SE-11419 Stockholm, Sweden.

Ahmed SalemDepartment of Biochemistry, Faculty of Science, Ain Shams University, Cairo 1156, Egypt.

Mohamed GhazyDepartment of Biochemistry, Faculty of Science, Ain Shams University, Cairo 1156, Egypt.

Mahmoud T Abo-ElfadlBiochemistry Department, Biotechnology Research Institute, National Research Centre, Cairo 12622, Egypt.ORCID 0000-0002-2415-0586

Mahmoud ElHefnawiBiomedical Informatics and Chemo-Informatics Group, Informatics and Systems Department, National Research Centre, Cairo 12622, Egypt.ORCID 0000-0003-3896-6911

Mario FloresDepartment of Electrical and Computer Engineering, Klesse College of Engineering and Integrated Design, University of Texas at San Antonio, San Antonio, TX 78249, USA.ORCID 0000-0003-1255-3983

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both let-7a and miR-34a have been repeatedly studied as pivotal suppressors for Hepatocellular carcinoma; however, their combined regulations remain to be fully elucidated. In the present study, we performed a comprehensive in silico analysis for let-7a and miR-34a using a wealth of updated tools: miRWalk, Genetrail and miRnet. In addition, our study is the first to quantify both miRs and their three predicted yet not experimentally validated oncogenic targets:

Indexed as

Carcinoma, HepatocellularFibronectinsInsulin-Like Growth Factor IILiver NeoplasmsMicroRNAsSOXC Transcription FactorsCell ProliferationGene Expression Regulation, NeoplasticHep G2 CellsHumansFibronectinsIGF2 protein, humanInsulin-Like Growth Factor IIMicroRNAsMIRN34 microRNA, humanmirnlet7 microRNA, humanSOX4 protein, humanSOXC Transcription Factorscombined regulatorsemerging HCC hallmarkshepatocellular carcinomain silico analysesin vitro verificationmajor HCC hallmarkssilencer miRNAs

Identifiers

PMID41751849

DOI10.3390/ijms27041714

PMCPMC12940684

What Socratic holds

Textmetadata

LicenceCC BY

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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 Socratic graph.