Evidence map›Paper›PMID 24356096›Full record

ArticleCancer discovery2014

Molecular profiling of the residual disease of triple-negative breast cancers after neoadjuvant chemotherapy identifies actionable therapeutic targets.

Justin M Balko, Jennifer M Giltnane, Kai Wang, Luis J Schwarz, Christian D Young, Rebecca S Cook, Phillip Owens, Melinda E Sanders, Maria G Kuba, Violeta Sánchez and 17 more

Abstract read
In one paragraph

Article in Cancer discovery, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 312 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
312citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

312 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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252 more citing papers are in PubMed but not listed here.

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

27 authors.

Justin M BalkoDepartments of 1Medicine, 2Pathology, Microbiology & Immunology, 3Cancer Biology, and 4Biochemistry; 5Breast Cancer Research Program, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, Tennessee; Departments of 6Cell & Tissue Biology and 7Medicine, University of California, San Francisco, San Francisco, California; 8Foundation Medicine, Cambridge, Massachusetts; 9Oncosalud; and 10Instituto Nacional de Enfermedades Neoplásicas (INEN), Lima, Perú
Jennifer M Giltnane
Kai Wang
Luis J Schwarz
Christian D Young
Rebecca S Cook
Phillip Owens
Melinda E Sanders
Maria G Kuba
Violeta Sánchez
Richard Kurupi
Preston D Moore
Joseph A Pinto
Franco D Doimi
Henry Gómez
Dai Horiuchi
Andrei Goga
Brian D Lehmann
Joshua A Bauer
Jennifer A Pietenpol
Jeffrey S Ross
Gary A Palmer
Roman Yelensky
Maureen Cronin
Vincent A Miller
Phillip J Stephens
Carlos L Arteaga

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
TISSUE CoreP50CA098131 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI PARK, BEN HO, PIETENPOL, JENNIFER A · 2003 to 2024
$48.7M
p63 Signaling in Epithelial Cell Growth and CancerR01CA105436 · NCI · VANDERBILT UNIVERSITY · PI PIETENPOL, JENNIFER A · 2004 to 2014
$3.1M
HER3 Signaling in Development and Cancer of the BreastR01CA143126 · NCI · VANDERBILT UNIVERSITY · PI COOK, REBECCA SARA · 2010 to 2014
$1.5M
Exploiting synthetic-lethal interactions to target triple-negative breast cancersK99CA175700 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HORIUCHI, DAI · 2013 to 2014
$233k
NCI NIH HHS CA105436NCI NIH HHS CA14837NCI NIH HHS CA68485NCI NIH HHS K99 CA175700NCI NIH HHS P30 CA068485NCI NIH HHS P30 CA68485NCI NIH HHS P50 CA098131NCI NIH HHS P50 CA98131NCI NIH HHS R01 CA105436NCI NIH HHS R01 CA143126NCI NIH HHS R01CA143126
6 · The paper itself

Abstract

unlabelledNeoadjuvant chemotherapy (NAC) induces a pathologic complete response (pCR) in approximately 30% of patients with triple-negative breast cancers (TNBC). In patients lacking a pCR, NAC selects a subpopulation of chemotherapy-resistant tumor cells. To understand the molecular underpinnings driving treatment-resistant TNBCs, we performed comprehensive molecular analyses on the residual disease of 74 clinically defined TNBCs after NAC, including next-generation sequencing (NGS) on 20 matched pretreatment biopsies. Combined NGS and digital RNA expression analysis identified diverse molecular lesions and pathway activation in drug-resistant tumor cells. Ninety percent of the tumors contained a genetic alteration potentially treatable with a currently available targeted therapy. Thus, profiling residual TNBCs after NAC identifies targetable molecular lesions in the chemotherapy-resistant component of the tumor, which may mirror micrometastases destined to recur clinically. These data can guide biomarker-driven adjuvant studies targeting these micrometastases to improve the outcome of patients with TNBC who do not respond completely to NAC. SIGNIFICANCE: This study demonstrates the spectrum of genomic alterations present in residual TNBC after NAC. Because TNBCs that do not achieve a CR after NAC are likely to recur as metastatic disease at variable times after surgery, these alterations may guide the selection of targeted therapies immediately after mastectomy before these metastases become evident.

Indexed as

Gene Expression ProfilingAntineoplastic Combined Chemotherapy ProtocolsCell Line, TumorCluster AnalysisDNA Copy Number VariationsDrug Resistance, NeoplasmFemaleGene AmplificationGenes, mycHumansKi-67 AntigenMyeloid Cell Leukemia Sequence 1 ProteinNeoadjuvant TherapyNeoplasm, ResidualPrognosisTreatment OutcomeKi-67 AntigenMyeloid Cell Leukemia Sequence 1 Protein

Identifiers

PMID24356096
PMCPMC3946308

What OpenQuestion holds

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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 OpenQuestion graph.