Evidence map›Paper›PMID 40264161›Full record

ArticleBreast cancer research : BCR2025

Breast cancer-specific survival by molecular subtype in different age groups of women in Scotland.

Ines Mesa-Eguiagaray, Sarah H Wild, Linda J Williams, Kai Jin, Sheila M Bird, David H Brewster, Peter S Hall, Jonine D Figueroa

Abstract read
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Article in Breast cancer research : BCR, 2025. 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

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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

8 authors.

Ines Mesa-EguiagarayUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK. ieguiaga@ed.ac.uk.ORCID https://orcid.org/0000-0002-6784-2419
Sarah H WildUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-7824-2569
Linda J WilliamsUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-6317-1718
Kai JinSchool of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0002-4071-7415
Sheila M BirdUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.
David H BrewsterUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0002-5346-5608
Peter S HallUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-6015-7841
Jonine D FigueroaUsher Institute, College of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK. jonine.figueroa@nih.gov.ORCID https://orcid.org/0000-0002-5100-623X

Funding

Wellcome Trust 207800/Z/17/Z
6 · The paper itself

Abstract

backgroundAge and molecular subtypes are important prognostic factors in breast cancer (BC). Here, we explore how age and molecular subtypes influence BC survival in Scotland.

methodsWe analysed data from 71,784 women diagnosed with invasive BC in Scotland between 1997 and 2016, with follow-up until 31st December 2018 (median follow-up time = 5.5 years). Cox models estimated Hazard Ratios (HR) for BC-specific death by age group (with women of screening age, 50-69 years old, as the reference) within each molecular subtype, adjusting for prognostic factors. The cumulative incidence function was plotted to account for competing risks.

resultsDuring the study period, 37% of women died, with 53% of deaths attributed to BC. Women aged 70 + years had increased BC-specific death compared to women aged 50 to 69 years with the same subtype. HRs (95% CI) were 1.49 (1.23-1.80) for luminal A, 1.39 (1.14 to 1.69) for luminal B tumours and 1.49 (1.15 to 1.94) for triple negative breast cancer (TNBC). Women aged < 50 years had lower risk of BC death in luminal A subtype only, with HR of 0.66 (0.51-0.86) compared to women aged 50 to 69 years. Competing risks analysis showed higher cumulative incidence of death from non-BC causes, particularly for women aged 70 + years with hormone positive subtypes. Stage, treatment, and molecular subtype were the strongest prognostic factors for BC-specific mortality across all ages.

conclusionsAge influences BC-specific mortality particularly within luminal subtypes. In contrast, other tumour characteristics and treatment are key prognostic factors for non-luminal subtypes. Future studies should investigate other markers of BC mortality particularly among over 70-year-olds, who account for 60% of BC deaths in the UK.

Indexed as

Breast NeoplasmsAdultAgedAged, 80 and overAge FactorsBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesFemaleFollow-Up StudiesHumansMiddle AgedPrognosisReceptors, EstrogenReceptors, ProgesteroneScotlandBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, ProgesteroneAgeBreast cancerPrognosisSubtypes

Identifiers

PMID40264161
PMCPMC12013176

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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.