Evidence map›Paper›PMID 27618787›Full record

ArticleOncotarget2016

HER2-HER3 dimer quantification by FLIM-FRET predicts breast cancer metastatic relapse independently of HER2 IHC status.

Gregory Weitsman, Paul R Barber, Lan K Nguyen, Katherine Lawler, Gargi Patel, Natalie Woodman, Muireann T Kelleher, Sarah E Pinder, Mark Rowley, Paul A Ellis and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 37 citations in OpenAlex.

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  7. HER4 is a high-affinity dimerization partner for all EGFR/HER/ErbB family proteins.Protein science : a publication of the Protein Society · 2024
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  16. EGFR Expression in HER2-Driven Breast Cancer Cells.International journal of molecular sciences · 2020
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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

16 authors at 7 institutions in 3 countries.

Gregory WeitsmanRichard Dimbleby Department of Cancer Research, Randall Division and Division of Cancer Studies, King's College London, Guy's Medical School Campus, London, UK.
Paul R BarberDepartment of Oncology, Cancer Research UK and Medical Research Council Oxford Institute for Radiation Oncology, University of Oxford, Oxford, UK.
Lan K NguyenSystems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland.
Katherine LawlerInstitute for Mathematical and Molecular Biomedicine, King's College London, Guy's Medical School Campus, London, UK.
Gargi PatelRichard Dimbleby Department of Cancer Research, Randall Division and Division of Cancer Studies, King's College London, Guy's Medical School Campus, London, UK.
Natalie WoodmanResearch Oncology, Division of Cancer Studies, King's College London, Guy's Hospital, Great Maze Pond, London, UK.
Muireann T KelleherDepartment of Medical Oncology, St George's Hospital NHS Foundation Trust, London, UK.
Sarah E PinderResearch Oncology, Division of Cancer Studies, King's College London, Guy's Hospital, Great Maze Pond, London, UK.
Mark RowleyInstitute for Mathematical and Molecular Biomedicine, King's College London, Guy's Medical School Campus, London, UK.
Paul A EllisResearch Oncology, Division of Cancer Studies, King's College London, Guy's Hospital, Great Maze Pond, London, UK.
Anand D PurushothamResearch Oncology, Division of Cancer Studies, King's College London, Guy's Hospital, Great Maze Pond, London, UK.
Anthonius C CoolenInstitute for Mathematical and Molecular Biomedicine, King's College London, Guy's Medical School Campus, London, UK.
Boris N KholodenkoSystems Biology Ireland, University College Dublin, Belfield, Dublin, Ireland.
Borivoj VojnovicRichard Dimbleby Department of Cancer Research, Randall Division and Division of Cancer Studies, King's College London, Guy's Medical School Campus, London, UK.
Cheryl GillettResearch Oncology, Division of Cancer Studies, King's College London, Guy's Hospital, Great Maze Pond, London, UK.
Tony NgRichard Dimbleby Department of Cancer Research, Randall Division and Division of Cancer Studies, King's College London, Guy's Medical School Campus, London, UK.
King's College London · GBGuy's Hospital · GBUniversity College Dublin · IEBreast Cancer Now · GBMedical Research Council · GBRoyal Sussex County Hospital · GBSt George's Hospital · GB

Funding

Cancer Research UK 15677Medical Research Council MC_PC_15031
6 · The paper itself

Abstract

Overexpression of HER2 is an important prognostic marker, and the only predictive biomarker of response to HER2-targeted therapies in invasive breast cancer. HER2-HER3 dimer has been shown to drive proliferation and tumor progression, and targeting of this dimer with pertuzumab alongside chemotherapy and trastuzumab, has shown significant clinical utility. The purpose of this study was to accurately quantify HER2-HER3 dimerisation in formalin fixed paraffin embedded (FFPE) breast cancer tissue as a novel prognostic biomarker.FFPE tissues were obtained from patients included in the METABRIC (Molecular Taxonomy of Breast Cancer International Consortium) study. HER2-HER3 dimerisation was quantified using an improved fluorescence lifetime imaging microscopy (FLIM) histology-based analysis. Analysis of 131 tissue microarray cores demonstrated that the extent of HER2-HER3 dimer formation as measured by Förster Resonance Energy Transfer (FRET) determined through FLIM predicts the likelihood of metastatic relapse up to 10 years after surgery (hazard ratio 3.91 (1.61-9.5), p = 0.003) independently of HER2 expression, in a multivariate model. Interestingly there was no correlation between the level of HER2 protein expressed and HER2-HER3 heterodimer formation. We used a mathematical model that takes into account the complex interactions in a network of all four HER proteins to explain this counterintuitive finding.Future utility of this technique may highlight a group of patients who do not overexpress HER2 protein but are nevertheless dependent on the HER2-HER3 heterodimer as driver of proliferation. This assay could, if validated in a group of patients treated with, for instance pertuzumab, be used as a predictive biomarker to predict for response to such targeted therapies.

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsDimerizationErb-b2 Receptor Tyrosine KinasesFemaleFluorescence Resonance Energy TransferHumansKaplan-Meier EstimateMicroscopy, FluorescenceMiddle AgedModels, TheoreticalNeoplasm Recurrence, LocalPrognosisProportional Hazards ModelsBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesERBB3 protein, humanReceptor, ErbB-3breast cancerFLIM-FRETHER2HER3prognosis

Identifiers

PMID27618787
PMCPMC5239455
OpenAlexW2426058879

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.