Evidence map›Paper›PMID 29177603›Full record

ArticleBreast cancer research and treatment2018

Impact of multi-gene mutational profiling on clinical trial outcomes in metastatic breast cancer.

Rossanna C Pezo, Tom W Chen, Hal K Berman, Anna M Mulligan, Albiruni A Razak, Lillian L Siu, David W Cescon, Eitan Amir, Christine Elser, David G Warr and 6 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Rossanna C PezoDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 7-723 700 University Avenue, Toronto, Canada.
Tom W ChenDepartment of Oncology, National Taiwan University Hospital, Taipei, Taiwan.
Hal K BermanLaboratory Medicine Program, University Health Network, Toronto, Canada.
Anna M MulliganLaboratory Medicine Program, University Health Network, Toronto, Canada.
Albiruni A RazakDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 7-723 700 University Avenue, Toronto, Canada.
Lillian L SiuDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 7-723 700 University Avenue, Toronto, Canada.
David W CesconDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 7-723 700 University Avenue, Toronto, Canada.
Eitan AmirDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 7-723 700 University Avenue, Toronto, Canada.
Christine ElserDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 7-723 700 University Avenue, Toronto, Canada.
David G WarrDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 7-723 700 University Avenue, Toronto, Canada.
Srikala S SridharDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 7-723 700 University Avenue, Toronto, Canada.
Celeste YuCancer Genomics Program, Princess Margaret Cancer Centre, Toronto, Canada.
Lisa WangDepartment of Biostatistics, Princess Margaret Cancer Centre, Toronto, Canada.
Tracy L StockleyLaboratory Medicine Program, University Health Network, Toronto, Canada.
Suzanne Kamel-ReidLaboratory Medicine Program, University Health Network, Toronto, Canada.
Philippe L BedardDivision of Medical Oncology and Hematology, Princess Margaret Cancer Centre, 7-723 700 University Avenue, Toronto, Canada. philippe.bedard@uhn.ca.ORCID http://orcid.org/0000-0002-6771-2999

Funding

CancerCare Ontario Applied Research UnitDivision of Medical Oncology, University of Toronto Strategic Innovation FundOntario Ministry of Health and Long-Term Care Academic Health Sciences Centre Alternate Funding Plan Innovation Award
6 · The paper itself

Abstract

purposeNext-generation sequencing (NGS) has identified recurrent genomic alterations in metastatic breast cancer (MBC); however, the clinical utility of incorporating routine sequencing to guide treatment decisions in this setting is unclear. We examine the frequency of genomic alterations in MBC patients from academic and community hospitals and correlate with clinical outcomes.

methodsMBC patients with good performance status were prospectively recruited at the Princess Margaret Cancer Centre (PM) in Canada. Molecular profiling on DNA extracted from FFPE archival tissues was performed on the Sequenom MassArray platform or the TruSeq Amplicon Cancer Panel (TSACP) on the MiSeq platform. Clinical trial outcomes by RECIST 1.1 and time on treatment were reviewed retrospectively.

resultsFrom January 2012 to November 2015, 483 MBC patients were enrolled and 440 were genotyped. At least one somatic mutation was identified in 46% of patients, most commonly in PIK3CA (28%) or TP53 (13%). Of 203 patients with ≥ 1 mutation(s), 15% were treated on genotype-matched and 9% on non-matched trials. There was no significant difference for median time on treatment for patients treated on matched vs. non-matched therapies (3.6 vs. 3.8 months; p = 0.89).

conclusionsThis study provides real-world outcomes on hotspot genotyping and small targeted panel sequencing of MBC patients from academic and community settings. Few patients were matched to clinical trials with targeted therapies. More comprehensive profiling and improved access to clinical trials may increase therapeutic options for patients with actionable mutations. Further studies are needed to evaluate if this approach leads to improved clinical outcomes.

Indexed as

High-Throughput Nucleotide SequencingAdultAgedAged, 80 and overAntineoplastic AgentsBiomarkers, TumorBreastBreast NeoplasmsClinical Trials as TopicDNA Mutational AnalysisFemaleGenomicsGenotyping TechniquesHumansMastectomyMiddle AgedAntineoplastic AgentsBiomarkers, TumorPTEN PhosphohydrolasePTEN protein, humanMetastatic breast cancerMolecular profilingPIK3CA mutationTargeted therapies

Identifiers

PMID29177603
PMCPMC5847065

What OpenQuestion holds

Textmetadata
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.