Evidence map›Paper›PMID 37991541›Full record

ArticleNaunyn-Schmiedeberg's archives of pharmacology2024

Investigating the role of let-7a microRNA in cisplatin sensitivity of A549 lung cancer cells.

Elif Sibel Aslan, Ece Aydin

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Article in Naunyn-Schmiedeberg's archives of pharmacology, 2024. 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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0citing papers in PubMed
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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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3 · Its place in the literature

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0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Elif Sibel AslanMolecular Biology and Genetics Department, Faculty of Engineering and Natural Sciences, Biruni University, Merkezefendi, 75 Sk No:1-13 M. G, 34015, Zeytinburnu, İstanbul, Turkey. easlan@biruni.edu.tr.ORCID http://orcid.org/0000-0002-3081-9004
Ece AydinMolecular Biology and Genetics Department, Faculty of Engineering and Natural Sciences, Biruni University, Merkezefendi, 75 Sk No:1-13 M. G, 34015, Zeytinburnu, İstanbul, Turkey.
Biruni University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer (LC) is a major cause of death worldwide, and cisplatin is commonly used as a chemotherapeutic drug for the treatment of LC. However, high doses of cisplatin can reduce its efficacy, leading to the need for new methods to increase LC cell sensitivity to this drug molecule. To overcome this problem, it is important to discover new methods to increase the sensitivity of LC cells to cisplatin. In this study, we investigated the use of anti-let-7a, a microRNA, to enhance the cisplatin sensitivity in A549 LC cells by comparing its effects with the commonly used oncogenes akt1 and pik3ca. The A549 cell line was transfected with anti-let-7a, and its effects were analyzed using functional assays. MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl-2H-tetrazolium bromide) assay was used for the measurement of cell viability, and gene expression levels of cell death-associated genes, were analyzed by using quantitative real-time PCR (qRT-PCR). Results showed that anti-let-7a downregulation decreased the viability of A549 cells significantly compared to the control group in the presence of cisplatin. Moreover, the single treatment of cells with anti-let-7a and cisplatin resulted in significant changes in gene expression levels, with the increased expression of pro-apoptotic genes and decreased expression of anti-apoptotic genes. Moreover, anti-let-7a treatment was found to increase the response of A549 cells to cisplatin by reducing the expression of oncogenes akt1 and pik3ca. This study suggests that anti-let-7a treatment may enhance the A549 LC cell sensitivity to cisplatin by modulating the expression of akt1 and pik3ca genes, making it a promising therapeutic target for LC treatment.

Indexed as

Antineoplastic AgentsCisplatinClass I Phosphatidylinositol 3-KinasesLung NeoplasmsMicroRNAsProto-Oncogene Proteins c-aktA549 CellsApoptosisCell SurvivalDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHumansAKT1 protein, humanAntineoplastic AgentsCisplatinClass I Phosphatidylinositol 3-KinasesMicroRNAsmirnlet7 microRNA, humanPIK3CA protein, humanProto-Oncogene Proteins c-aktAKT1Anti-let-7aApoptosisChemosensitivityCisplatinLung cancerPIK3CA

Identifiers

PMID37991541
OpenAlexW4388909480

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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.