Evidence map›Paper›PMID 32778063›Full record

ArticleBMC cancer2020

Androgen Receptor mRNA levels determine the prognosis in triple-negative breast cancer patients.

Sindhu Govindan, Mallikarjuna Siraganahalli Eswaraiah, Chetana Basavaraj, Manjula Adinarayan, Satish Sankaran, Manjiri Bakre

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 18 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Sindhu GovindanOncoStem Diagnostics Private Limited, # 4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, Karnataka, 560027, India.
Mallikarjuna Siraganahalli EswaraiahOncoStem Diagnostics Private Limited, # 4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, Karnataka, 560027, India.
Chetana BasavarajOncoStem Diagnostics Private Limited, # 4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, Karnataka, 560027, India.
Manjula AdinarayanOncoStem Diagnostics Private Limited, # 4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, Karnataka, 560027, India.
Satish SankaranOncoStem Diagnostics Private Limited, # 4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, Karnataka, 560027, India.
Manjiri BakreOncoStem Diagnostics Private Limited, # 4, Raja Ram Mohan Roy Road, Aanand Tower, 2nd Floor, Bangalore, Karnataka, 560027, India. manjiri@oncostemdiagnostics.com.ORCID http://orcid.org/0000-0003-1160-8102
Directorate of Medicinal and Aromatic Plants Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnti-Androgen Receptor (AR) therapy holds promise for a subset of AR expressing triple-negative breast cancer (TNBC) patients. However, current AR assays are suboptimal in detecting the dynamic range of AR expression, contributing to its controversial role in TNBC disease prognosis. This study is aimed at evaluating the feasibility of qRT-PCR to sensitively and robustly detect AR mRNA levels for prognostication.

methodsmRNA expression profiling was performed on FFPE blocks from a retrospective cohort of 101 TNBC patients using qRT-PCR and compared with AR protein expression by immunohistochemistry . Statistical analyses included Spearman's rank correlation, Chi-square and Kaplan-Meier analyses. Distant Metastasis Free Survival was used as the end point in survival analysis.

resultsAR mRNA expression was observed in 34/101 patients (34%) whereas 12/80 cases (15%) were positive by IHC. qRT-PCR could thus detect more AR positive patients as compared to IHC, with 75% (9/12) concordance between the two methods. Co-expression of GATA3 and FOXA1 mRNA was observed in 85 and 88% of AR mRNA positive tumors, respectively. AR mRNA positivity was significantly correlated with age at disease onset (p = 0.02), high FOXA1/GATA3 (p < 0.05) and distant recurrence. AR mRNA positive patients had poorer DMFS (43%; p = 0.002). DMFS dropped further to 26% (p = 0.006) in AR (+)/high FOXA1/GATA3 patients. AR mRNA expression together with node positivity had the worst DMFS (23%; p < 0.0001) compared to patients who were either positive for any one of these, or negative for both AR and node status. Low Ki67 mRNA with AR mRNA positivity also had poorer DMFS (39%; p = 0.001) compared to patients expressing low Ki67 with no AR mRNA expression.

conclusionqRT-PCR was more sensitive and reliable in detecting the dynamic expression levels of AR compared to IHC and this variation could be explained by the higher sensitivity of the former method. High AR mRNA expression was strongly associated with expression of AR protein, high FOXA1/GATA3 mRNA, and with poor prognosis. qRT-PCR was more efficient in detecting the AR positive cases compared to IHC. A distinct signature involving high GATA3/FOXA1, low Ki67, and node positivity in AR mRNA positive tumors correlated with poor prognosis. Thus, AR mRNA screening can serve as an effective prognostic marker along with offering potential targeted therapy options for TNBC.

Indexed as

AdultAgedAge of OnsetFeasibility StudiesFemaleGATA3 Transcription FactorHepatocyte Nuclear Factor 3-alphaHumansImmunohistochemistryLymph NodesMiddle AgedNeoplasm ProteinsPrognosisReceptors, AndrogenRetrospective StudiesReverse Transcriptase Polymerase Chain ReactionAR protein, humanFOXA1 protein, humanGATA3 protein, humanGATA3 Transcription FactorHepatocyte Nuclear Factor 3-alphaNeoplasm ProteinsReceptors, AndrogenRNA, MessengerAndrogen ReceptorFOXA1GATA3PrognosisqRT-PCRTNBC

Identifiers

PMID32778063
PMCPMC7419184
OpenAlexW3048337059

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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.