Evidence map›Paper›PMID 38379036›Full record

ArticleBiochemical genetics2024

The Role of miR-29a and miR-143 on the Anti-apoptotic MCL-1/cIAP-2 Genes Expression in EGFR Mutated Non-small Cell Lung Carcinoma Patients.

Zahra Abrehdari-Tafreshi, Ehsan Arefian, Nasser Rakhshani, S Mahmoud A Najafi

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Article in Biochemical genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

4 authors.

Zahra Abrehdari-TafreshiDepartment of Cell and Molecular Biology, School of Biology, College of Sciences, University of Tehran, P.O. Box 14155-6455, Tehran, Iran. zahra.abrehdari@ut.ac.ir.
Ehsan ArefianDepartment of Microbiology, School of Biology, College of Sciences, University of Tehran, P.O. Box 1417614481, Tehran, Iran.
Nasser RakhshaniGastrointestinal and Liver Diseases Research Center, Iran University of Medical Sciences, Firoozgar Hospital, Tehran, Iran.
S Mahmoud A NajafiDepartment of Cell and Molecular Biology, School of Biology, College of Sciences, University of Tehran, P.O. Box 14155-6455, Tehran, Iran. smarabnajafi@ut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The survival rate of lung cancer is low due to the high frequency of drug resistance in patients with mutations in the driver genes. Overexpression of anti-apoptotic genes is one of the most prominent features of tumor drug resistance. EGFR signaling induces the expression of anti-apoptotic genes. Also, microRNAs (miRNAs) have a critical role in regulating biological functions such as apoptosis; a process mostly eluded in cancer progression. The mutation screening was performed on one thousand non-small cell lung carcinoma patients to enroll clinical samples in this study. Bioinformatics analysis predicted that miRNAs (miR-29a, miR-143) might regulate MCL-1 and cIAP-2 expression. We investigated the expression of MCL-1, cIAP-2, miR-29a, and miR-143 encoding genes in adenocarcinoma patients with or without EGFR mutations before treatment. The potential role of miR-29a and miR-143 on gene expression was evaluated by overexpression and luciferase assays in HEK-293T cells. EGFR mutations were found in 262 patients (26.2%) with a greater incidence in females (36.23% vs. 20.37%, P = 0.001). The expression levels of MCL-1 and cIAP-2 genes in patients with mutated EGFR were higher than those of wild-type EGFR. In contrast, compared to those of patients with wild-type EGFR, the expression levels of miR-29a and miR-143 were lower in the patients carrying EGFR mutations. In cell culture, overexpression of miR-29a and miR-143 significantly downregulated the expression of MCL-1 and cIAP-2. Dual-luciferase reporter experiments confirmed that miR-29a and miR-143 target MCL-1 and cIAP-2 mRNAs, respectively. Our results suggest that upregulation of EGFR signaling in lung cancer cells may increase anti-apoptotic MCL-1 and cIAP-2 gene expression, possibly through downregulation of miR-29a-3p and miR-143-3p.

Indexed as

ApoptosisCarcinoma, Non-Small-Cell LungErbB ReceptorsGene Expression Regulation, NeoplasticLung NeoplasmsMicroRNAsMutationMyeloid Cell Leukemia Sequence 1 ProteinAdultAgedBaculoviral IAP Repeat-Containing 3 ProteinFemaleHEK293 CellsHumansMaleMiddle AgedBaculoviral IAP Repeat-Containing 3 ProteinBIRC3 protein, humanEGFR protein, humanErbB ReceptorsMCL1 protein, humanMicroRNAsMIRN143 microRNA, humanMIRN29a microRNA, humanMyeloid Cell Leukemia Sequence 1 ProteincIAP-2EGFRMCL-1miRNAsNSCLC

Identifiers

PMID38379036

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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.