Evidence map›Paper›PMID 30180877›Full record

ArticleBreast cancer research : BCR2018

Novel 18-gene signature for predicting relapse in ER-positive, HER2-negative breast cancer.

Richard Buus, Belinda Yeo, Adam R Brentnall, Marie Klintman, Maggie Chon U Cheang, Komel Khabra, Ivana Sestak, Qiong Gao, Jack Cuzick, Mitch Dowsett

Abstract read
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Article in Breast cancer research : BCR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

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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

3 citing papers in PubMed.

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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

10 authors.

Richard BuusThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK. richard.buus@icr.ac.uk.ORCID 0000-0002-3386-3465
Belinda YeoOlivia Newton-John Cancer Research Institute, Melbourne, Australia.
Adam R BrentnallCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Marie KlintmanLund University, Skane University Hospital, Faculty of Medicine, Department of Clinical Sciences Lund, Oncology and Pathology, Lund, Sweden.
Maggie Chon U CheangClinical Trials and Statistic Unit, The Institute of Cancer Research, London, UK.
Komel KhabraResearch Data Management and Statistics Unit, Royal Marsden Hospital, London, UK.
Ivana SestakCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Qiong GaoThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
Jack CuzickCentre for Cancer Prevention, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Mitch DowsettThe Breast Cancer Now Toby Robins Research Centre at the Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.

Funding

Cancer Research UK 16891Cancer Research UK C569/A10404Cancer Research UK C569/A16891
6 · The paper itself

Abstract

backgroundSeveral prognostic signatures for early oestrogen receptor-positive (ER+) breast cancer have been established with a 10-year follow-up. We tested the hypothesis that signatures optimised for 0-5-year and 5-10-year follow-up separately are more prognostic than a single signature optimised for 10 years.

methodsGenes previously identified as prognostic or associated with endocrine resistance were tested in publicly available microarray data set using Cox regression of 747 ER+/HER2- samples from post-menopausal patients treated with 5 years of endocrine therapy. RNA expression of the selected genes was assayed in primary ER+/HER2- tumours from 948 post-menopausal patients treated with 5 years of anastrozole or tamoxifen in the TransATAC cohort. Prognostic signatures for 0-10, 0-5 and 5-10 years were derived using a penalised Cox regression (elastic net). Signature comparison was performed with likelihood ratio statistics. Validation was done by a case-control (POLAR) study in 422 samples derived from a cohort of 1449.

resultsNinety-three genes were selected by the modelling of microarray data; 63 of these were significantly prognostic in TransATAC, most similarly across each time period. Contrary to our hypothesis, the derived early and late signatures were not significantly more prognostic than the 18-gene 10-year signature. The 18-gene 10-year signature was internally validated in the TransATAC validation set, showing prognostic information similar to that of Oncotype DX Recurrence Score, PAM50 risk of recurrence score, Breast Cancer Index and IHC4 (score based on four IHC markers), as well as in the external POLAR case-control set.

conclusionsThe derived 10-year signature predicts risk of metastasis in patients with ER+/HER2- breast cancer similar to commercial signatures. The hypothesis that early and late prognostic signatures are significantly more informative than a single signature was rejected.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticAdultAgedAged, 80 and overAnastrozoleAntineoplastic Agents, HormonalBreast NeoplasmsCase-Control StudiesCohort StudiesErb-b2 Receptor Tyrosine KinasesFemaleHumansMiddle AgedNeoplasm Recurrence, LocalPrognosisAnastrozoleAntineoplastic Agents, HormonalErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenTamoxifenBiomarkersBreast cancerLate recurrenceOestrogen receptorPrognostic tests

Identifiers

PMID30180877
PMCPMC6122470

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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.