Evidence map›Paper›PMID 33886505›Full record

ArticleJCI insight2021

The impact of tumor epithelial and microenvironmental heterogeneity on treatment responses in HER2+ breast cancer.

Michalina Janiszewska, Shayna Stein, Otto Metzger Filho, Jennifer Eng, Natalie L Kingston, Nicholas W Harper, Inga H Rye, Maša Alečković, Anne Trinh, Katherine C Murphy and 13 more

Open access · goldAbstract read
In one paragraph

Article in JCI insight, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 7% 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

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. The immunology of human breast cancer.Nature reviews. Immunology · 2026
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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

23 authors at 8 institutions in 3 countries.

Michalina JaniszewskaDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Shayna SteinDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Otto Metzger FilhoDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Jennifer EngOHSU Center for Spatial Systems Biomedicine, Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, Oregon, USA.
Natalie L KingstonDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Nicholas W HarperDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Inga H RyeDepartment of Pathology, Division of Laboratory Medicine, and Department of Cancer Genetics, Institute for Cancer Research, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
Maša AlečkovićDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Anne TrinhDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Katherine C MurphyDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Elisabetta MarangoniDepartment of Translational Research, Institut Curie, Paris, France.
Simona CristeaDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Benjamin OakesDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Eric P WinerDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Ian E KropDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Hege G RussnesDepartment of Pathology, Division of Laboratory Medicine, and Department of Cancer Genetics, Institute for Cancer Research, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway.
Paul T SpellmanOHSU Knight Cancer Institute, Oregon Health and Science University, Portland, Oregon, USA.
Elmar BucherOHSU Center for Spatial Systems Biomedicine, Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, Oregon, USA.
Zhi HuOHSU Center for Spatial Systems Biomedicine, Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, Oregon, USA.
Koei ChinOHSU Center for Spatial Systems Biomedicine, Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, Oregon, USA.
Joe W GrayOHSU Center for Spatial Systems Biomedicine, Department of Biomedical Engineering, School of Medicine, Oregon Health and Science University, Portland, Oregon, USA.
Franziska MichorDepartment of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Kornelia PolyakDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
Oregon Health & Science University · USDana-Farber Cancer Institute · USBrigham and Women's Hospital · USBroad Institute · USHarvard University · USOslo University Hospital · NOInstitut Curie · FRScripps Research Institute · US

Funding

Targeting intratumor heterogeneity in breast cancerR35CA197623 · NCI · DANA-FARBER CANCER INST · PI KORNELIA POLYAK · 2015 to 2026
$12.4M
The Cell-Of-Origin of Human CancersU54CA143798 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI MICHOR, FRANZISKA · 2009 to 2014
$11.2M
Project 3: Single Cell Measures of Intratumor Diversity for Optimal Breast Cancer TherapyU54CA193461 · NCI · DANA-FARBER CANCER INST · PI HOLLAND, ERIC C. · 2015 to 2020
$11.2M
Joint Interdisciplinary Training Program in Biostatistics & Computational BiologyT32GM074897 · NIGMS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HUTTENHOWER, CURTIS, LIN, XIHONG · 2005 to 2019
$3.7M
Intratumor heterogeneity underlying treatment resistance in HER2+ breast tumorsU01CA195469 · NCI · DANA-FARBER CANCER INST · PI GRAY, JOE W., MICHOR, FRANZISKA · 2015 to 2019
$3.3M
Intratumor heterogeneity and therapeutic resistanceR00CA201606 · NCI · SCRIPPS FLORIDA · PI JANISZEWSKA, MICHALINA · 2018 to 2020
$852k
Intratumor heterogeneity and therapeutic resistanceK99CA201606 · NCI · DANA-FARBER CANCER INST · PI JANISZEWSKA, MICHALINA · 2016 to 2017
$252k
Rational Design of Combination Therapy Administration Schedules Using Mathematical ModelingF31CA239565 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI STEIN, SHAYNA RENEE · 2019 to 2020
$57k
NCI NIH HHS F31 CA239565NCI NIH HHS K99 CA201606NCI NIH HHS R00 CA201606NCI NIH HHS R35 CA197623NCI NIH HHS U01 CA195469NCI NIH HHS U54 CA143798NCI NIH HHS U54 CA193461NIGMS NIH HHS T32 GM074897
6 · The paper itself

Abstract

Despite the availability of multiple human epidermal growth factor receptor 2-targeted (HER2-targeted) treatments, therapeutic resistance in HER2+ breast cancer remains a clinical challenge. Intratumor heterogeneity for HER2 and resistance-conferring mutations in the PIK3CA gene (encoding PI3K catalytic subunit α) have been investigated in response and resistance to HER2-targeting agents, while the role of divergent cellular phenotypes and tumor epithelial-stromal cell interactions is less well understood. Here, we assessed the effect of intratumor cellular genetic heterogeneity for ERBB2 (encoding HER2) copy number and PIK3CA mutation on different types of neoadjuvant HER2-targeting therapies and clinical outcome in HER2+ breast cancer. We found that the frequency of cells lacking HER2 was a better predictor of response to HER2-targeted treatment than intratumor heterogeneity. We also compared the efficacy of different therapies in the same tumor using patient-derived xenograft models of heterogeneous HER2+ breast cancer and single-cell approaches. Stromal determinants were better predictors of response than tumor epithelial cells, and we identified alveolar epithelial and fibroblastic reticular cells as well as lymphatic vessel endothelial hyaluronan receptor 1-positive (Lyve1+) macrophages as putative drivers of therapeutic resistance. Our results demonstrate that both preexisting and acquired resistance to HER2-targeting agents involve multiple mechanisms including the tumor microenvironment. Furthermore, our data suggest that intratumor heterogeneity for HER2 should be incorporated into treatment design.

Indexed as

AdultAgedAged, 80 and overAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalBreast NeoplasmsClass I Phosphatidylinositol 3-KinasesDNA Copy Number VariationsDrug Resistance, NeoplasmEpithelial CellsErb-b2 Receptor Tyrosine KinasesFemaleFibroblastsHumansMacrophagesMiddle AgedAntibodies, Monoclonal, HumanizedAntineoplastic Agents, ImmunologicalClass I Phosphatidylinositol 3-KinasesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesLYVE1 protein, humanpertuzumabPIK3CA protein, humanTrastuzumabVesicular Transport ProteinsBreast cancerMolecular pathologyOncology

Identifiers

PMID33886505
PMCPMC8262355
OpenAlexW3152730993

What OpenQuestion holds

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LicenceCC BY
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.