Evidence map›Paper›PMID 34966897›Full record

ArticleNature cancer2021

Spatial proteomic characterization of HER2-positive breast tumors through neoadjuvant therapy predicts response.

Katherine L McNamara, Jennifer L Caswell-Jin, Rohan Joshi, Zhicheng Ma, Eran Kotler, Gregory R Bean, Michelle Kriner, Zoey Zhou, Margaret Hoang, Joseph Beechem and 5 more

Open access · greenAbstract read
In one paragraph

Article in Nature cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
6.8field-weighted citation impact, top 2% 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 85 citations in OpenAlex.

  1. Guideline
  2. Trial
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  5. Trial
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  7. Targetable S100-RAGE Signaling Mediates Intrinsic Trastuzumab Deruxtecan Resistance in Metastatic Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  8. Review
  9. Emerging technologies in the spatial proteomics landscape.Analytical and bioanalytical chemistry · 2026
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Spatial omics for profiling the dynamic tumor microenvironment.Clinical & translational immunology · 2026
    Review
  18. Spatial proteomics: technical evolution and applications in cancer research.Frontiers in cell and developmental biology · 2026
    Review
  19. Article
  20. Review

9 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

15 authors at 6 institutions in 1 country.

Katherine L McNamaraDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-3717-6494
Jennifer L Caswell-JinDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5711-8355
Rohan JoshiDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0004-6466
Zhicheng MaStanford Cancer Institute, Stanford University School of Medicine, Stanford, CA, USA.
Eran KotlerDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Gregory R BeanDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-2866-8283
Michelle KrinerNanoString Technologies, Seattle, WA, USA.
Zoey ZhouNanoString Technologies, Seattle, WA, USA.
Margaret HoangNanoString Technologies, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-0442-855X
Joseph BeechemNanoString Technologies, Seattle, WA, USA.
Jason ZoellerDepartment of Cell Biology, Harvard Medical School, Boston, MA, USA.
Michael F PressDepartment of Pathology Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Dennis J SlamonDavid Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Sara A HurvitzDavid Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Christina CurtisDepartment of Medicine, Division of Oncology, Stanford University School of Medicine, Stanford, CA, USA. cncurtis@stanford.edu.ORCID http://orcid.org/0000-0003-0166-3802
Stanford University · USNanostring Technologies (United States) · USUniversity of California, Los Angeles · USHarvard University · USStanford Medicine · USUniversity of Southern California · US

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Integrated genomic analysis and multi-scale modeling of therapeutic resistanceR01CA182514 · NCI · STANFORD UNIVERSITY · PI CURTIS, CHRISTINA N · 2014 to 2018
$2.4M
Quantifying patient-specific tumor evolutionary dynamics and resistance mechanisms in HER2-positive breast cancers treated with targeted therapyF30CA239313 · NCI · STANFORD UNIVERSITY · PI MCNAMARA, KATHERINE LEE · 2019 to 2022
$136k
NCI NIH HHS F30 CA239313NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA182514
6 · The paper itself

Abstract

The addition of HER2-targeted agents to neoadjuvant chemotherapy has dramatically improved pathological complete response (pCR) rates in early-stage, HER2-positive breast cancer. Nonetheless, up to 50% of patients have residual disease after treatment, while others are likely overtreated. Here, we performed multiplex spatial proteomic characterization of 122 samples from 57 HER2-positive breast tumors from the neoadjuvant TRIO-US B07 clinical trial sampled pre-treatment, after 14-21 d of HER2-targeted therapy and at surgery. We demonstrated that proteomic changes after a single cycle of HER2-targeted therapy aids the identification of tumors that ultimately undergo pCR, outperforming pre-treatment measures or transcriptomic changes. We further developed and validated a classifier that robustly predicted pCR using a single marker, CD45, measured on treatment, and showed that CD45-positive cell counts measured via conventional immunohistochemistry perform comparably. These results demonstrate robust biomarkers that can be used to enable the stratification of sensitive tumors early during neoadjuvant HER2-targeted therapy, with implications for tailoring subsequent therapy.

Indexed as

Breast NeoplasmsNeoadjuvant TherapyAntineoplastic Combined Chemotherapy ProtocolsErb-b2 Receptor Tyrosine KinasesFemaleHumansProteomicsTrastuzumabErb-b2 Receptor Tyrosine KinasesTrastuzumab

Identifiers

PMID34966897
PMCPMC8713949
OpenAlexW3155143820

What OpenQuestion holds

Textmetadata
LicenceTDM
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.