Evidence map›Paper›PMID 40254586›Full record

ArticleBMC cancer2025

Targeting GSK3β and signaling pathways in breast cancer: role of individual members of miR- 23/24/27 cluster.

Harshi Gupta, Anushka Raghubansi, Bharat, Kritika Sharma, Krittika Zutshi, Partibha Panchal, Sushant Bhattacharya, Piyush Ranjan, Gopal Puri, Neeru Saini

Abstract read
In one paragraph

Article in BMC cancer, 2025. 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
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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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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.

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

10 authors.

Harshi Gupta *Functional Genomics Unit, CSIR-Institute of Genomics and Integrative Biology (IGIB), Mall Road, Delhi, 110007, India.
Anushka Raghubansi *Functional Genomics Unit, CSIR-Institute of Genomics and Integrative Biology (IGIB), Mall Road, Delhi, 110007, India.
Bharat *Functional Genomics Unit, CSIR-Institute of Genomics and Integrative Biology (IGIB), Mall Road, Delhi, 110007, India.
Kritika SharmaFunctional Genomics Unit, CSIR-Institute of Genomics and Integrative Biology (IGIB), Mall Road, Delhi, 110007, India.
Krittika ZutshiFunctional Genomics Unit, CSIR-Institute of Genomics and Integrative Biology (IGIB), Mall Road, Delhi, 110007, India.
Partibha PanchalFunctional Genomics Unit, CSIR-Institute of Genomics and Integrative Biology (IGIB), Mall Road, Delhi, 110007, India.
Sushant BhattacharyaFunctional Genomics Unit, CSIR-Institute of Genomics and Integrative Biology (IGIB), Mall Road, Delhi, 110007, India.
Piyush RanjanDepartment of Surgical Disciplines, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Gopal PuriDepartment of Surgical Disciplines, All India Institute of Medical Sciences, Ansari Nagar, New Delhi, 110029, India.
Neeru SainiFunctional Genomics Unit, CSIR-Institute of Genomics and Integrative Biology (IGIB), Mall Road, Delhi, 110007, India. nkhanna@igib.res.in.

Funding

Council of Scientific and Industrial Research, India HCP40
6 · The paper itself

Abstract

backgroundThe high mortality rate of breast cancer and the difficulties associated with therapeutic resistance, especially in cases where targeted treatments are unavailable, make it a serious threat to women's health. This study examines the relationship between three mature microRNAs (miRNAs) that are clustered together, namely miR- 23a, miR- 27a, and miR- 24-2, as well as their potential correlation with breast cancer.

methodsWe identified common gene targets of miR- 23a, miR- 27a, and miR- 24-2 using computational analysis. We also checked for the levels of miR- 23a, miR- 27a, and miR- 24-2 in 26 breast tumor tissues (with their matched control) as well as MCF7 and MDA-MB- 231 cell lines using qRT-PCR. Dual-luciferase reporter assay was conducted to validate the binding site of the microRNAs in their target gene. Western blot was performed to study the expression of various breast cancer related genes in the presence of the three microRNAs. In addition, the effect of microRNAs in cancer cell metastasis and cell division was carried out using invasion and cell cycle assay.

resultsComputational analysis identified key genes, including GSK3β, NCOA1 and SP1, which are functionally linked to tumor progression and various other malignancies. All three microRNAs were found to be significantly downregulated in the breast cancer tissue samples in comparison to their respective controls. Kaplan-Meier plot analysis revealed that the expression levels of these genes and associated microRNAs correlates with breast cancer patient survival rates. Reduced SP1 and NCOA1 levels predicted a worse prognosis, but elevated levels of GSK3β were linked with decreased survival. Moreover, miR- 23a and miR- 24-2 specifically target GSK3β, potentially disrupting the Wnt/β-catenin pathway involved in breast cancer development. Functional tests showed that miR- 23a, miR- 27a and miR- 24-2 affect expression of EMT related genes, influencing cell invasion and migration, impacting ERK signaling and EMT, critical in the spread of breast cancer.

conclusionThis study unlocks the potential of targeting the microRNA cluster as a therapeutic approach and emphasizes the complex regulatory roles of each individual members of the miR- 23a/27a/24-2 cluster in the pathogenesis of breast cancer.

Indexed as

Breast NeoplasmsGlycogen Synthase Kinase 3 betaMicroRNAsCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansMCF-7 CellsMiddle AgedSignal TransductionGlycogen Synthase Kinase 3 betaGSK3B protein, humanMicroRNAsBreast cancerGSK3βInvasionMicroRNAMigrationSP1

Identifiers

PMID40254586
PMCPMC12010543

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.