Evidence map›Paper›PMID 31383035›Full record

ArticleBreast cancer research : BCR2019

Profiling molecular regulators of recurrence in chemorefractory triple-negative breast cancers.

Bradley A Hancock, Yu-Hsiang Chen, Jeffrey P Solzak, Mufti N Ahmad, David C Wedge, Dumitru Brinza, Charles Scafe, James Veitch, Rajesh Gottimukkala, Walt Short and 7 more

Open access · goldAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 23% 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

18 citing papers in PubMed, 37 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

17 authors at 5 institutions in 2 countries.

Bradley A HancockDepartment of Surgery, Indiana University School of Medicine, 980 W. Walnut St. Room C312, Indianapolis, IN, 46202, USA.
Yu-Hsiang ChenDepartment of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Jeffrey P SolzakDepartment of Surgery, Indiana University School of Medicine, 980 W. Walnut St. Room C312, Indianapolis, IN, 46202, USA.
Mufti N AhmadDepartment of Surgery, Indiana University School of Medicine, 980 W. Walnut St. Room C312, Indianapolis, IN, 46202, USA.
David C WedgeBig Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, UK.
Dumitru BrinzaDepartment of Bioinformatics, ThermoFisher Scientific, Carlsbad, CA, USA.
Charles ScafeDepartment of Bioinformatics, ThermoFisher Scientific, Carlsbad, CA, USA.
James VeitchDepartment of Bioinformatics, ThermoFisher Scientific, Carlsbad, CA, USA.
Rajesh GottimukkalaDepartment of Bioinformatics, ThermoFisher Scientific, Carlsbad, CA, USA.
Walt ShortDepartment of Bioinformatics, ThermoFisher Scientific, Carlsbad, CA, USA.
Rutuja V AtaleDepartment of Surgery, Indiana University School of Medicine, 980 W. Walnut St. Room C312, Indianapolis, IN, 46202, USA.
Mircea IvanDepartment of Microbiology and Immunology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Sunil S BadveDepartment of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Bryan P SchneiderDepartment of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Xiongbin LuDepartment of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Kathy D MillerDivision of Hematology/Oncology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Milan RadovichDepartment of Surgery, Indiana University School of Medicine, 980 W. Walnut St. Room C312, Indianapolis, IN, 46202, USA. mradovic@iupui.edu.
Indiana University – Purdue University Indianapolis · USThermo Fisher Scientific (United States) · USIndiana University School of MedicineHealth Data Research UK · GBIndiana University Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundApproximately two thirds of patients with localized triple-negative breast cancer (TNBC) harbor residual disease (RD) after neoadjuvant chemotherapy (NAC) and have a high risk-of-recurrence. Targeted therapeutic development for TNBC is of primary significance as no targeted therapies are clinically indicated for this aggressive subset. In view of this, we conducted a comprehensive molecular analysis and correlated molecular features of chemorefractory RD tumors with recurrence for the purpose of guiding downstream therapeutic development.

methodsWe assembled DNA and RNA sequencing data from RD tumors as well as pre-operative biopsies, lymphocytic infiltrate, and survival data as part of a molecular correlative to a phase II post-neoadjuvant clinical trial. Matched somatic mutation, gene expression, and lymphocytic infiltrate were assessed before and after chemotherapy to understand how tumors evolve during chemotherapy. Kaplan-Meier survival analyses were conducted categorizing cancers with TP53 mutations by the degree of loss as well as by the copy number of a locus of 18q corresponding to the SMAD2, SMAD4, and SMAD7 genes.

resultsAnalysis of matched somatic genomes pre-/post-NAC revealed chaotic acquisition of copy gains and losses including amplification of prominent oncogenes. In contrast, significant gains in deleterious point mutations and insertion/deletions were not observed. No trends between clonal evolution and recurrence were identified. Gene expression data from paired biopsies revealed enrichment of actionable regulators of stem cell-like behavior and depletion of immune signaling, which was corroborated by total lymphocytic infiltrate, but was not associated with recurrence. Novel characterization of TP53 mutation revealed prognostically relevant subgroups, which were linked to MYC-driven transcriptional amplification. Finally, somatic gains in 18q were associated with poor prognosis, likely driven by putative upregulation of TGFß signaling through the signal transducer SMAD2.

conclusionsWe conclude TNBCs are dynamic during chemotherapy, demonstrating complex plasticity in subclonal diversity, stem-like qualities, and immune depletion, but somatic alterations of TP53/MYC and TGFß signaling in RD samples are prominent drivers of recurrence, representing high-yield targets for additional interrogation.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticAntineoplastic Combined Chemotherapy ProtocolsDNA Copy Number VariationsDrug Resistance, NeoplasmFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansKaplan-Meier EstimateMutationNeoadjuvant TherapyNeoplasm Recurrence, LocalNeoplasm, ResidualNeoplastic Stem CellsPrognosisBiomarkers, TumorTumor Suppressor Protein p53BreastCancerChemoresistanceMYCRecurrenceRelapseSMAD2TGF-betaTP53Triple-negative

Identifiers

PMID31383035
PMCPMC6683504
OpenAlexW2965331867

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.