Evidence map›Paper›PMID 36578092›Full record

ArticleBreast cancer research : BCR2022

Progesterone modulates the DSCAM-AS1/miR-130a/ESR1 axis to suppress cell invasion and migration in breast cancer.

Neelima Yadav, Roma Sunder, Sanket Desai, Bhasker Dharavath, Pratik Chandrani, Mukul Godbole, Amit Dutt

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. Trial
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  6. Article
  7. ESR1 Regulates Fecundity and Functions in Sheep Endometrial Stromal Cells.International journal of molecular sciences · 2025
    Article
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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

7 authors at 3 institutions in 1 country.

Neelima YadavIntegrated Cancer Genomics Laboratory, Advanced Centre for Treatment, Research, and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, 410210, India.
Roma SunderIntegrated Cancer Genomics Laboratory, Advanced Centre for Treatment, Research, and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, 410210, India.
Sanket DesaiIntegrated Cancer Genomics Laboratory, Advanced Centre for Treatment, Research, and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, 410210, India.
Bhasker DharavathIntegrated Cancer Genomics Laboratory, Advanced Centre for Treatment, Research, and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, 410210, India.
Pratik ChandraniIntegrated Cancer Genomics Laboratory, Advanced Centre for Treatment, Research, and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, 410210, India.
Mukul GodboleSchool of Biosciences and Technology, Faculty of Sciences and Health Sciences, MIT World Peace University, Pune, Maharashtra, 411038, India.
Amit DuttIntegrated Cancer Genomics Laboratory, Advanced Centre for Treatment, Research, and Education in Cancer (ACTREC), Tata Memorial Centre, Kharghar, Navi Mumbai, Maharashtra, 410210, India. adutt@actrec.gov.in.
Advanced Centre for Treatment, Research and Education in Cancer · INMIT World Peace University · INTata Memorial Hospital · IN

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/MED/30/VNCI-Hr-BRCA/2015
6 · The paper itself

Abstract

backgroundA preoperative-progesterone intervention increases disease-free survival in patients with breast cancer, with an unknown underlying mechanism. We elucidated the role of non-coding RNAs in response to progesterone in human breast cancer.

methodsWhole transcriptome sequencing dataset of 30 breast primary tumors (10 tumors exposed to hydroxyprogesterone and 20 tumors as control) were re-analyzed to identify differentially expressed non-coding RNAs followed by real-time PCR analyses to validate the expression of candidates. Functional analyses were performed by genetic knockdown, biochemical, and cell-based assays.

resultsWe identified a significant downregulation in the expression of a long non-coding RNA, Down syndrome cell adhesion molecule antisense DSCAM-AS1, in response to progesterone treatment in breast cancer. The progesterone-induced expression of DSCAM-AS1 could be effectively blocked by the knockdown of progesterone receptor (PR) or treatment of cells with mifepristone (PR-antagonist). We further show that knockdown of DSCAM-AS1 mimics the effect of progesterone in impeding cell migration and invasion in PR-positive breast cancer cells, while its overexpression shows an opposite effect. Additionally, DSCAM-AS1 sponges the activity of miR-130a that regulates the expression of ESR1 by binding to its 3'-UTR to mediate the effect of progesterone in breast cancer cells. Consistent with our findings, TCGA analysis suggests that high levels of miR-130a correlate with a tendency toward better overall survival in patients with breast cancer.

conclusionThis study presents a mechanism involving the DSCAM-AS1/miR-130a/ESR1 genomic axis through which progesterone impedes breast cancer cell invasion and migration. The findings highlight the utility of progesterone treatment in impeding metastasis and improving survival outcomes in patients with breast cancer.

Indexed as

Breast NeoplasmsMicroRNAsRNA, Long NoncodingCell Line, TumorCell MovementCell ProliferationFemaleGene Expression Regulation, NeoplasticHumansProgesteroneMicroRNAsProgesteroneRNA, Long NoncodingBreast cancerDSCAM-AS1Estrogen receptormiR-130aProgesteroneProgesterone receptor

Identifiers

PMID36578092
PMCPMC9798554
OpenAlexW4313417244

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.