Evidence map›Paper›PMID 33496805›Full record

ArticleVirchows Archiv : an international journal of pathology2021

Predictive significance of HER2 intratumoral heterogeneity, determined by simultaneous gene and protein analysis, for resistance to trastuzumab-based treatments for HER2-positive breast cancer.

Rie Horii, Hiroaki Nitta, Masanori Nojima, Reo Maruyama, Takayuki Ueno, Yoshinori Ito, Shinji Ohno, Peter Banks, Hiroaki Kanda, Futoshi Akiyama

Abstract read
PubMed Publisher
In one paragraph

Article in Virchows Archiv : an international journal of pathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. A Multiparameter Molecular Classifier to Predict Response to Neoadjuvant Lapatinib plus Trastuzumab without Chemotherapy in HER2+ Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2023
    Article
  5. Article
  6. Article
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

10 authors at 5 institutions in 2 countries.

Rie HoriiDivision of Pathology, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan. riehorii@cancer-c.pref.saitamaa.jp.ORCID http://orcid.org/0000-0002-4227-2739
Hiroaki NittaRoche Tissue Diagnostics, Tucson, AZ, USA.
Masanori NojimaCenter for Translational Research, The Institute of Medical Science Hospital, The University of Tokyo, Tokyo, Japan.
Reo MaruyamaProject for Cancer Epigenomics, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Takayuki UenoBreast Oncology Center, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Yoshinori ItoBreast Oncology Center, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Shinji OhnoBreast Oncology Center, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan.
Peter BanksDepartment of Pathology and Laboratory Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Hiroaki KandaDivision of Pathology, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Futoshi AkiyamaDivision of Pathology, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan.
Japanese Foundation For Cancer Research · JPSaitama Cancer Center · JPRoche (United States) · USThe University of Tokyo · JPUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene-protein assay (GPA), a combination of immunohistochemistry and dual in situ hybridization, allows simultaneous visualization of HER2 protein and gene on a single slide. We aimed to clarify the clinical significance of HER2 intratumoral heterogeneity (ITH) using GPA. We investigated the relationships between various HER2 ITH indicators and clinical course in 102 patients with HER2-positive breast cancer, treated with neoadjuvant trastuzumab and chemotherapy. Five representative microscopic images were captured from each GPA slide of pre-therapeutic biopsy materials. All evaluable cancer cells in the images were individually assessed for HER2 gene copy number and protein expression. Mean and coefficient of variation (CV) of both gene copy number and protein category were calculated, and each was divided into negative, equivocal, and positive. Based on their combined status, cancer cells were classified into nine types. Pathological complete response (pCR) to neoadjuvant treatments showed positive relationships to mean gene copy number (P < 0.001), mean protein category (P < 0.001), and proportion of gene- and protein-positive tumor cells (P < 0.001) and showed negative relationships to the CV of protein category (P < 0.001) and the proportion of gene-amplified but protein-negative tumor cells (P = 0.002). Two diagnostic models, created by combining clinicopathological factors and ITH indicators, showed excellent potential diagnostic ability for pCR (mean gene copy number and protein category CV; AUC = 0.837, proportion of gene- and protein-positive tumor cells; AUC = 0.831). HER2 ITH quantified by GPA is a potential predictive indicator for efficacy of HER2-targeted treatment.

Indexed as

Genetic HeterogeneityAdultAgedAntineoplastic Agents, ImmunologicalBiomarkers, TumorBreast NeoplasmsDrug Resistance, NeoplasmErb-b2 Receptor Tyrosine KinasesFemaleGene AmplificationGene Expression Regulation, NeoplasticHumansImmunohistochemistryIn Situ HybridizationMiddle AgedPredictive Value of TestsAntineoplastic Agents, ImmunologicalBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesTrastuzumabBreast cancerGene-protein assayHuman epidermal growth factor receptor 2 (HER2)Intratumoral heterogeneityPathologyPredictive factor

Identifiers

PMID33496805
OpenAlexW3122971336

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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.