Evidence map›Paper›PMID 41721915›Full record

ArticleMolecular biology reports2026

SNP-Driven LncRNA H19 dysregulation and CeRNA axis in breast and thyroid cancers among Pakistani females.

Nafeesa Kainat, Qaisar Mansoor, Ruqia Mehmood Baig

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Article in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Multi-Omics Analysis of the Effects ofInternational journal of molecular sciences · 2026
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Nafeesa KainatDepartment of Zoology, Wildlife & Fisheries, PMAS-Arid Agriculture University, Rawalpindi, 46300, Pakistan.
Qaisar MansoorInstitute of Biomedical & Genetic Engineering, Islamabad, 44000, Pakistan. qmibge@gmail.com.
Ruqia Mehmood BaigDepartment of Zoology, Wildlife & Fisheries, PMAS-Arid Agriculture University, Rawalpindi, 46300, Pakistan. dr.ruqia@uaar.edu.pk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast cancer (BC) and Thyroid cancer (TC) are prevalent malignancies in women that share epidemiological and molecular features. Emerging evidence indicates that non-coding RNAs are key regulators of cancer associated gene expression. Long non-coding RNA (lncRNA) drive tumor progression by acting as competing endogenous RNAs (ceRNAs), sponging microRNA (miRNA) to deregulate oncogenic messenger RNA (mRNA). The influence of functional genetic polymorphisms of lncRNAs on their expression, as well as the expression of their ceRNA components RNA in a direct comparative context of BC and TC, remains unexplored.

methods60 breast cancer and 60 thyroid cancer tissue samples, alongside matched adjacent healthy controls from a Pakistani female patient, were used. Genotyping of lncRNA H19 SNPs (rs3741219 and rs2839698) was performed using Polymerase Chain Reaction-Restriction Fragment Length Polymorphism (PCR-RFLP) followed by quantitative real-time PCR (qRT-PCR) to assess the expression of lncRNA H19, miR-152, and DNMT1. Expression and genotype associations, association with clinical parameters, and diagnostic and prognostic utility of the studied RNA were statistically evaluated.

resultGenotyping revealed that rs3741219 showed significant tumor-control differences in breast cancer (p < 0.05). Expression analysis revealed upregulation of lncRNA H19 and DNMT1, and downregulation of miR-152, in tumor samples compared with adjacent healthy controls in both cancers. In genotype-expression analysis, rs3741219 influenced lncRNA H19 expression in both cancer types. Receiver Operating Characteristic (ROC) analysis confirmed the strong diagnostic potential of H19 and DNMT1 (AUC 0.98-1.00). Correlation and regression analyses validated the proposed ceRNA interactions and their significant association with advanced cancer stage. A high-risk score from the H19/miR-152/DNMT1 axis was prognostic only in thyroid cancer (HR = 2.97).

Indexed as

Breast NeoplasmsRNA, Long NoncodingThyroid NeoplasmsAdultCase-Control StudiesDNA (Cytosine-5-)-Methyltransferase 1FemaleGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseGenotypeHumansMicroRNAsMiddle AgedPakistanPolymorphism, Single NucleotidePrognosisDNA (Cytosine-5-)-Methyltransferase 1DNMT1 protein, humanH19 long non-coding RNAMicroRNAsRNA, Competitive EndogenousRNA, Long NoncodingBreast cancerDNMT1LncRNA H19MiR-152rs3741219Thyroid cancer

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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.