Evidence map›Paper›PMID 30976105›Full record

ArticleModern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc2019

Combined quantitative measures of ER, PR, HER2, and KI67 provide more prognostic information than categorical combinations in luminal breast cancer.

Mustapha Abubakar, Jonine Figueroa, H Raza Ali, Fiona Blows, Jolanta Lissowska, Carlos Caldas, Douglas F Easton, Mark E Sherman, Montserrat Garcia-Closas, Mitch Dowsett and 1 more

Abstract read
In one paragraph

Article in Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

45 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Validation of IHC4 + C for male breast cancer.Virchows Archiv : an international journal of pathology · 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

11 authors.

Mustapha AbubakarDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA. mustapha.abubakar2@nih.gov.
Jonine FigueroaUsher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Scotland, UK.ORCID http://orcid.org/0000-0002-5100-623X
H Raza AliCancer Research UK (CRUK) Cambridge Institute, University of Cambridge, Cambridge, UK.
Fiona BlowsCenter for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
Jolanta LissowskaDepartment of Cancer Epidemiology and Prevention, M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.
Carlos CaldasCancer Research UK (CRUK) Cambridge Institute, University of Cambridge, Cambridge, UK.
Douglas F EastonCenter for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK.
Mark E ShermanDivision of Epidemiology, Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL, USA.
Montserrat Garcia-ClosasDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA.
Mitch DowsettBreast Cancer Now Toby Robins Research Centre, Division of Breast Cancer Research, The Institute of Cancer Research, London, UK.ORCID http://orcid.org/0000-0003-4122-744X
Paul D PharoahCancer Research UK (CRUK) Cambridge Institute, University of Cambridge, Cambridge, UK.

Funding

Breast Cancer Now 2009MAYPR42Cancer Research UK 10124Cancer Research UK 16561Cancer Research UK 16591Cancer Research UK 16942Cancer Research UK 25815Cancer Research UK A11021Cancer Research UK A16561Cancer Research UK A5260Cancer Research UK A7014Intramural NIH HHS Z99 CA999999
6 · The paper itself

Abstract

Although most women with luminal breast cancer do well on endocrine therapy alone, some will develop fatal recurrence thereby necessitating the need to prospectively determine those for whom additional cytotoxic therapy will be beneficial. Categorical combinations of immunohistochemical measures of ER, PR, HER2, and KI67 are traditionally used to classify patients into luminal A-like and B-like subtypes for chemotherapeutic reasons, but this may lead to the loss of prognostically relevant information. Here, we compared the prognostic value of quantitative measures of these markers, combined in the IHC4-score, to categorical combinations in subtypes. Using image analysis-based scores for all four markers, we computed the IHC4-score for 2498 patients with luminal breast cancer from two European study populations. We defined subtypes (A-like (ER + and PR + : and HER2- and low KI67) and B-like (ER + and/or PR + : and HER2 + or high KI67)) by combining binary categories of these markers. Hazard ratios and 95% confidence intervals for associations with 10-year breast cancer-specific survival were estimated in Cox proportional-hazard models. We accounted for clinical prognostic factors, including grade, tumor size, lymph-nodal involvement, and age, by using the PREDICT-score. Overall, Subtypes [hazard ratio (95% confidence interval) B-like vs. A-like = 1.64 (1.25-2.14); P-value < 0.001] and IHC4-score [hazard ratio (95% confidence interval)/1 standard deviation = 1.32 (1.20-1.44); P-value < 0.001] were prognostic in univariable models. However, IHC4-score [hazard ratio (95% confidence interval)/1 standard deviation = 1.24 (1.11-1.37); P-value < 0.001; likelihood ratio chi-square (LRχ

Indexed as

AdultAgedBiomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansKi-67 AntigenMiddle AgedPrognosisReceptors, EstrogenReceptors, ProgesteroneBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesKi-67 AntigenReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID30976105
PMCPMC6731159

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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.