Evidence map›Paper›PMID 31611282›Full record

ArticleClinical cancer research : an official journal of the American Association for Cancer Research2020

Comprehensive Profiling of Poor-Risk Paired Primary and Recurrent Triple-Negative Breast Cancers Reveals Immune Phenotype Shifts.

Katherine E Hutchinson, Susan E Yost, Ching-Wei Chang, Radia Marie Johnson, Adrian R Carr, Paul R McAdam, Daniel L Halligan, Chun-Chieh Chang, Daniel Schmolze, Jackson Liang and 1 more

Open access · bronzeAbstract readComment
In one paragraph

Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 3 pooled it
6.0field-weighted citation impact, top 3% 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

74 citing papers in PubMed, 3 syntheses or guidelines pooled it, 106 citations in OpenAlex.

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 4 countries.

Katherine E HutchinsonOncology Biomarker Development, Genentech, Inc., South San Francisco, California.ORCID 0000-0002-4660-3523
Susan E YostDepartment of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, California.
Ching-Wei ChangOncology Biostatistics, Genentech, Inc., South San Francisco, California.
Radia Marie JohnsonOncology Bioinformatics, Genentech, Inc., South San Francisco, California.
Adrian R CarrFios Genomics, Edinburgh, United Kingdom.
Paul R McAdamFios Genomics, Edinburgh, United Kingdom.
Daniel L HalliganFios Genomics, Edinburgh, United Kingdom.ORCID 0000-0003-4726-6343
Chun-Chieh ChangOncology Biostatistics, Genentech, Inc., South San Francisco, California.
Daniel SchmolzeDepartment of Pathology, City of Hope National Medical Center, Duarte, California.
Jackson LiangOncology Biomarker Development, Genentech, Inc., South San Francisco, California.
Yuan YuanDepartment of Medical Oncology and Therapeutic Research, City of Hope National Medical Center, Duarte, California. yuyuan@coh.org.
City Of Hope National Medical Center · USFios Genomics (United Kingdom) · GBBiomarker Technologies (China) · CNBiostatistical Consulting (United States) · USBioinformatics Institute · SG

Funding

Transgenic Mouse FacilityP30CA033572 · NCI · CITY OF HOPE/BECKMAN RESEARCH INSTITUTE · PI STANLEY R. HAMILTON · 1985 to 2026
$86.3M
Oncology Research Career Development ProgramK12CA001727 · NCI · CITY OF HOPE NATIONAL MEDICAL CENTER · PI MORTIMER, JOANNE E. · 1992 to 2024
$14.6M
Targeting Chemotherapy-induced Breast Cancer StemnessR01CA206911 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI WANG, SHIZHEN EMILY, YUAN, YUAN · 2017 to 2021
$2.3M
Peripheral Blood Biomarkers of Molecular Aging Predicting Chemotherapy Induced Toxicity and Functional Decline in Women 60 and Older with Breast CancerR03AG050931 · NIA · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI YUAN, YUAN · 2015 to 2016
$255k
NCI NIH HHS K12 CA001727NCI NIH HHS P30 CA033572NCI NIH HHS R01 CA206911NIA NIH HHS R03 AG050931
6 · The paper itself

Abstract

purposeEmerging data suggest immune checkpoint inhibitors have reduced efficacy in heavily pretreated triple-negative breast cancers (TNBC), but underlying mechanisms are poorly understood. To better understand the phenotypic evolution of TNBCs, we studied the genomic and transcriptomic profiles of paired tumors from patients with TNBC. EXPERIMENTAL

designWe collected paired primary and metastatic TNBC specimens from 43 patients and performed targeted exome sequencing and whole-transcriptome sequencing. From these efforts, we ascertained somatic mutation profiles, tumor mutational burden (TMB), TNBC molecular subtypes, and immune-related gene expression patterns. Stromal tumor-infiltrating lymphocytes (stromal TIL), recurrence-free survival, and overall survival were also analyzed.

resultsWe observed a typical TNBC mutational landscape with minimal shifts in copy number or TMB over time. However, there were notable TNBC molecular subtype shifts, including increases in the Lehmann/Pietenpol-defined basal-like 1 (BL1, 11.4%-22.6%) and mesenchymal (M, 11.4%-22.6%) phenotypes, and a decrease in the immunomodulatory phenotype (IM, 31.4%-3.2%). The Burstein-defined basal-like immune-activated phenotype was also decreased (BLIA, 42.2%-17.2%). Among downregulated genes from metastases, we saw enrichment of immune-related Kyoto Encyclopedia of Genes and Genomes pathways and gene ontology (GO) terms, and decreased expression of immunomodulatory gene signatures (

conclusionsWe observed few mutational shifts, but largely consistent transcriptomic shifts in longitudinally paired TNBCs. Transcriptomic and IHC analyses revealed significantly reduced immune-activating gene expression signatures and TILs in recurrent TNBCs. These data may explain the observed lack of efficacy of immunotherapeutic agents in heavily pretreated TNBCs. Further studies are ongoing to better understand these initial observations.

Indexed as

Triple Negative Breast NeoplasmsBiomarkers, TumorHumansLymphocytes, Tumor-InfiltratingPhenotypeTranscriptomeBiomarkers, Tumor

Identifiers

PMID31611282
PMCPMC8568263
OpenAlexW2980166314

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.