Evidence map›Paper›PMID 32811538›Full record

ArticleBreast cancer research : BCR2020

Clinical implications of prospective genomic profiling of metastatic breast cancer patients.

Courtney T van Geelen, Peter Savas, Zhi Ling Teo, Stephen J Luen, Chen-Fang Weng, Yi-An Ko, Keilly S Kuykhoven, Franco Caramia, Roberto Salgado, Prudence A Francis and 4 more

Erratum issuedAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

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  19. Genomic characterisation of hormone receptor-positive breast cancer arising in very young women.Annals of oncology : official journal of the European Society for Medical Oncology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Courtney T van Geelen *Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Peter Savas *Division of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Zhi Ling TeoDivision of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Stephen J LuenDivision of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Chen-Fang WengDivision of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Yi-An KoDivision of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Keilly S KuykhovenAustralian Centre for Disease Preparedness, Commonwealth Scientific and Industrial Research Organisation (CSIRO) Health and Biosecurity, Geelong, Australia.
Franco CaramiaDivision of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Roberto SalgadoDivision of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Prudence A FrancisDepartment of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia.
Sarah-Jane DawsonDivision of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Stephen B FoxDivision of Research, Peter MacCallum Cancer Centre, Melbourne, Australia.
Andrew FellowesDepartment of Pathology, Peter MacCallum Cancer Centre, Melbourne, Australia.
Sherene LoiDivision of Research, Peter MacCallum Cancer Centre, Melbourne, Australia. sherene.loi@petermac.org.ORCID http://orcid.org/0000-0001-6137-9171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetastatic breast cancer remains incurable. Next-generation sequencing (NGS) offers the ability to identify actionable genomic alterations in tumours which may then be matched with targeted therapies, but the implementation and utility of this approach is not well defined for patients with metastatic breast cancer.

methodsWe recruited patients with advanced breast cancer of any subtype for prospective targeted NGS of their most recent tumour samples, using a panel of 108 breast cancer-specific genes. Genes were classified as actionable or non-actionable using the European Society of Medical Oncology Scale for Clinical Actionability of Molecular Targets (ESCAT) guidelines.

resultsBetween February 2014 and May 2019, 322 patients were enrolled onto the study, with 72% (n = 234) of patients successfully sequenced (n = 357 samples). The majority (74%, n = 171) of sequenced patients were found to carry a potentially actionable alteration, the most common being a PIK3CA mutation. Forty-three percent (n = 74) of patients with actionable alterations were referred for a clinical trial or referred for confirmatory germline testing or had a change in therapy outside of clinical trials. We found alterations in AKT1, BRCA2, CHEK2, ESR1, FGFR1, KMT2C, NCOR1, PIK3CA and TSC2 to be significantly enriched in our metastatic population compared with primary breast cancers. Concordance between primary and metastatic samples for key driver genes (TP53, ERBB2 amplification) was > 75%. Additionally, we found that patients with a higher number of mutations had a significantly worse overall survival.

conclusionGenomic profiling of patients with metastatic breast cancer can have clinical implications and should be considered in all suitable patients.

Indexed as

MutationAdultAgedAged, 80 and overBiomarkers, TumorBRCA2 ProteinBreast NeoplasmsClass I Phosphatidylinositol 3-KinasesFemaleGenomicsHigh-Throughput Nucleotide SequencingHumansMiddle AgedMolecular Targeted TherapyNeoplasm MetastasisPrognosisBiomarkers, TumorBRCA2 ProteinBRCA2 protein, humanClass I Phosphatidylinositol 3-KinasesPIK3CA protein, humanBreast cancerGenomic profilingMetastasisPersonalised medicine

Identifiers

PMID32811538
PMCPMC7436992

What OpenQuestion holds

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LicenceCC BY
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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.