Evidence map›Paper›PMID 38454481›Full record

ArticleBreast cancer research : BCR2024

Clinically relevant gene signatures provide independent prognostic information in older breast cancer patients.

Miguel Castresana-Aguirre, Annelie Johansson, Alexios Matikas, Theodoros Foukakis, Linda S Lindström, Nicholas P Tobin

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Article in Breast cancer research : BCR, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Miguel Castresana-AguirreDepartment of Oncology and Pathology, BioClinicum, Karolinska Institutet and University Hospital, Visionsgatan 4, 171 64, Stockholm, Sweden.
Annelie JohanssonDepartment of Oncology and Pathology, BioClinicum, Karolinska Institutet and University Hospital, Visionsgatan 4, 171 64, Stockholm, Sweden.
Alexios MatikasDepartment of Oncology and Pathology, BioClinicum, Karolinska Institutet and University Hospital, Visionsgatan 4, 171 64, Stockholm, Sweden.
Theodoros FoukakisDepartment of Oncology and Pathology, BioClinicum, Karolinska Institutet and University Hospital, Visionsgatan 4, 171 64, Stockholm, Sweden.
Linda S LindströmDepartment of Oncology and Pathology, BioClinicum, Karolinska Institutet and University Hospital, Visionsgatan 4, 171 64, Stockholm, Sweden.
Nicholas P TobinDepartment of Oncology and Pathology, BioClinicum, Karolinska Institutet and University Hospital, Visionsgatan 4, 171 64, Stockholm, Sweden. nick.tobin@ki.se.

Funding

ALF medicine FoUI-974882Cancerfonden 200802Cancerfonden 21 0277 JCIA 01 HCancerfonden 220552SIACancerfonden 222081Forskningsrådet om Hälsa, Arbetsliv och Välfärd 2019-00477Vetenskapsrådet 2020-02466
6 · The paper itself

Abstract

backgroundThe clinical utility of gene signatures in older breast cancer patients remains unclear. We aimed to determine signature prognostic capacity in this patient subgroup.

methodsResearch versions of the genomic grade index (GGI), 70-gene, recurrence score (RS), cell cycle score (CCS), PAM50 risk-of-recurrence proliferation (ROR-P), and PAM50 signatures were applied to 39 breast cancer datasets (N = 9583). After filtering on age ≥ 70 years, and the presence of estrogen receptor (ER) and survival data, 871 patients remained. Signature prognostic capacity was tested in all (n = 871), ER-positive/lymph node-positive (ER + /LN + , n = 335) and ER-positive/lymph node-negative (ER + /LN-, n = 374) patients using Kaplan-Meier and multivariable Cox-proportional hazard (PH) modelling.

resultsAll signatures were statistically significant in Kaplan-Meier analysis of all patients (Log-rank P < 0.001). This significance remained in multivariable analysis (Cox-PH, P ≤ 0.05). In ER + /LN + patients all signatures except PAM50 were significant in Kaplan-Meier analysis (Log-rank P ≤ 0.05) and remained so in multivariable analysis (Cox-PH, P ≤ 0.05). In ER + /LN- patients all except RS were significant in Kaplan-Meier analysis (Log-rank P ≤ 0.05) but only the 70-gene, CCS, ROR-P, and PAM50 signatures remained so in multivariable analysis (Cox-PH, P ≤ 0.05).

conclusionsWe found that gene signatures provide prognostic information in survival analyses of all, ER + /LN + and ER + /LN- older (≥ 70 years) breast cancer patients, suggesting a potential role in aiding treatment decisions in older patients.

Indexed as

Breast NeoplasmsAgedAntineoplastic Agents, HormonalFemaleHumansKaplan-Meier EstimatePrognosisReceptors, EstrogenAntineoplastic Agents, HormonalReceptors, Estrogen

Identifiers

PMID38454481
PMCPMC10921680

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