Evidence map›Paper›PMID 38587073›Full record

ArticleJCI insight2024

Molecular subtyping improves breast cancer diagnosis in the Copenhagen Breast Cancer Genomics Study.

Tobias Berg, Maj-Britt Jensen, Alan Celik, Maj-Lis Talman, Maria Anna Misiakou, Ann Søegaard Knoop, Finn Cilius Nielsen, Bent Ejlertsen, Maria Rossing

Abstract read
In one paragraph

Article in JCI insight, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed.

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4 · The record

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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

9 authors.

Tobias BergDanish Breast Cancer Group.
Maj-Britt JensenDanish Breast Cancer Group.
Alan CelikDanish Breast Cancer Group.
Maj-Lis TalmanDepartment of Pathology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Maria Anna MisiakouCenter for Genomic Medicine, and.
Ann Søegaard KnoopDanish Breast Cancer Group.
Finn Cilius NielsenCenter for Genomic Medicine, and.
Bent EjlertsenDanish Breast Cancer Group.
Maria RossingCenter for Genomic Medicine, and.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDIntrinsic molecular subtypes define distinct biological breast cancers and can be used to further improve diagnosis and risk allocation.METHODSThe Copenhagen Breast Cancer Genomics Study (CBCGS) prospectively included women diagnosed with breast cancer at Rigshospitalet from 2014 to 2021. Eligible patients were females with a primary invasive breast cancer (T1c, if N0M0; otherwise, any T, any N, or any M stage) and no prior malignancy. All patients underwent molecular profiling with the CIT256 and PAM50 molecular profile.RESULTSIn the study period, 2,816 patients were included in the CBCGS. Molecular subtyping showed an increase in nonluminal (molecular-apocrine, luminal C, and Basal-like) as compared with luminal (luminal A, luminal B, and Normal-like) subtypes with increasing stage from I to IV. Across all stages, we found a significant difference in survival among subtypes; 91% of patients with LumA were alive at 5 years compared with 91% for LumB, 84% for LumC, 82% for mApo, and 80% for Basal-like. We identified 442 tumors (16%) that were discordant in subtype between CIT256 and IHC. Discordant subtype proved to be a risk factor of death among patients with IHC luminal breast cancer (hazard ratio [HR], 2.08; 95% CI, 1.51-2.86) in a multivariable Cox regression analysis. Discordance occurred more often among patients with N3, stage IV, or grade III disease.CONCLUSIONOur findings indicate that molecular subtypes are a predominant classification for survival. Assessment is particularly crucial for patients with IHC luminal breast cancer with known high-risk factors, since they are at an increased risk of harboring an aggressive molecular subtype.

Indexed as

Breast NeoplasmsBiomarkers, TumorFemaleGenomicsHumansPrognosisBiomarkers, TumorBreast cancerClinical practiceMolecular pathologyOncology

Identifiers

PMID38587073
PMCPMC11128195

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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.