Evidence map›Paper›PMID 31005169›Full record

ArticleEuropean journal of radiology2019

Imaging features of triple-negative breast cancers according to androgen receptor status.

Rosalind P Candelaria, Beatriz E Adrada, Wei Wei, Alastair M Thompson, Lumarie Santiago, Deanna L Lane, Monica L Huang, Elsa M Arribas, Gaiane M Rauch, W Fraser Symmans and 6 more

Open access · greenAbstract read
In one paragraph

Article in European journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  10. Current issues in molecular biology · 2022
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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

16 authors at 1 institution in 1 country.

Rosalind P CandelariaDepartment of Diagnostic Radiology, Unit 1350, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: rcandelaria@mdanderson.org.
Beatriz E AdradaDepartment of Diagnostic Radiology, Unit 1350, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: beatriz.adrada@mdanderson.org.
Wei WeiDepartment of Biostatistics, Unit 1411, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: WWei@mdanderson.org.
Alastair M ThompsonDepartment of Breast Surgical Oncology, Unit 1434, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: AThompson1@mdanderson.org.
Lumarie SantiagoDepartment of Diagnostic Radiology, Unit 1350, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: lumarie.santiago@mdanderson.org.
Deanna L LaneDepartment of Diagnostic Radiology, Unit 1350, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: Deanna.Lane@mdanderson.org.
Monica L HuangDepartment of Diagnostic Radiology, Unit 1350, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: mlhuang@mdanderson.org.
Elsa M ArribasDepartment of Diagnostic Radiology, Unit 1350, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: earribas@mdanderson.org.
Gaiane M RauchDepartment of Diagnostic Radiology, Unit 1350, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: gmrauch@mdanderson.org.
W Fraser SymmansDepartment of Pathology, Unit 085, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: fsymmans@mdanderson.org.
Michael Z GilcreaseDepartment of Pathology, Unit 085, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: mgilcrease@mdanderson.org.
Lei HuoDepartment of Pathology, Unit 085, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: LeiHuo@mdanderson.org.
Bora LimDepartment of Breast Medical Oncology, Unit 1354, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: BLim@mdanderson.org.
Naoto T UenoDepartment of Breast Medical Oncology, Unit 1354, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: nueno@mdanderson.org.
Stacy L MoulderDepartment of Breast Medical Oncology, Unit 1354, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: smoulder@mdanderson.org.
Wei Tse YangDepartment of Diagnostic Radiology, Unit 1350, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Boulevard, Houston, TX, 77030, USA. Electronic address: wyang@mdanderson.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

objectiveDifferent molecular subtypes of triple-negative breast cancer (TNBC) have previously been identified through analysis of gene expression profiles. The luminal androgen receptor (LAR) subtype has been shown to have a lower rate of pathologic complete response to neoadjuvant chemotherapy than other TNBC subtypes. The purpose of this study was to determine if the imaging features of TNBCs differ by AR (androgen receptor) status, which is a surrogate immunohistochemical (IHC) marker for the chemoresistant LAR subtype of TNBC. MATERIALS AND

methodsThis sub-study was part of a clinical trial in patients with stage I-III TNBC who were prospectively monitored for response while receiving neoadjuvant systemic therapy (NAST) at a single comprehensive cancer center. This interim imaging analysis included 144 patients with known AR status measured by IHC. AR-positive (AR+) tumors were defined as those in which at least 10% of tumor cells had positive nuclear AR staining. Two experienced, fellowship-trained breast radiologists who were blinded to the IHC results retrospectively reviewed and reached consensus on all imaging studies for the index lesion (i.e., mammogram, ultrasound, and breast magnetic resonance imaging). The index lesion for each patient was reviewed and described according to the fifth edition of the Breast Imaging Reporting and Data System lexicon. Logistic regression modeling was used to identify imaging features predictive of AR status. p ≤ 0.05 was considered statistically significant.

resultsUnivariate logistic regression models for AR status showed that AR+ TNBC was significantly associated with heterogeneously dense breast composition on mammography (p = 0.02), mass with calcifications (p = 0.05), irregular mass shape on mammography (p = 0.03), and irregular mass shape on sonography (p = 0.003). Multivariate logistic regression models for AR status showed that AR+ TNBC was significantly associated with heterogeneously dense breast composition on mammography (p = 0.01), high mass density on mammography (p = 0.003), and irregular mass shape on sonography (p = 0.0004).

conclusionThe imaging features of TNBCs differ by AR status. Multimodality breast imaging may help identify the LAR subtype of TNBC, which has been shown to be a subtype that is relatively resistant to neoadjuvant chemotherapy.

Indexed as

AdultAgedBiomarkers, TumorBreastFemaleGene Expression Regulation, NeoplasticHumansMammographyMiddle AgedReceptors, AndrogenRetrospective StudiesTriple Negative Breast NeoplasmsAR protein, humanBiomarkers, TumorReceptors, AndrogenAndrogen receptorMammographyMRITriple-negative breast cancerUltrasound

Identifiers

PMID31005169
PMCPMC6481318
OpenAlexW2923853552

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.