Evidence map›Paper›PMID 38790221›Full record

ArticleGenes2024

The Association between Mutational Signatures and Clinical Outcomes among Patients with Early-Onset Breast Cancer.

Robert B Basmadjian, Dylan E O'Sullivan, May Lynn Quan, Sasha Lupichuk, Yuan Xu, Winson Y Cheung, Darren R Brenner

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Robert B BasmadjianDepartment of Community Health Sciences, Foothills Medical Centre, University of Calgary, Calgary, AB T2N 4Z6, Canada.ORCID 0000-0002-9535-720X
Dylan E O'SullivanDepartment of Community Health Sciences, Foothills Medical Centre, University of Calgary, Calgary, AB T2N 4Z6, Canada.
May Lynn QuanDepartment of Community Health Sciences, Foothills Medical Centre, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Sasha LupichukDepartment of Community Health Sciences, Foothills Medical Centre, University of Calgary, Calgary, AB T2N 4Z6, Canada.ORCID 0000-0001-9545-0802
Yuan XuDepartment of Community Health Sciences, Foothills Medical Centre, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Winson Y CheungDepartment of Community Health Sciences, Foothills Medical Centre, University of Calgary, Calgary, AB T2N 4Z6, Canada.
Darren R BrennerDepartment of Community Health Sciences, Foothills Medical Centre, University of Calgary, Calgary, AB T2N 4Z6, Canada.

Funding

CIHR 397332
6 · The paper itself

Abstract

Early-onset breast cancer (EoBC), defined by a diagnosis <40 years of age, is associated with poor prognosis. This study investigated the mutational landscape of non-metastatic EoBC and the prognostic relevance of mutational signatures using 100 tumour samples from Alberta, Canada. The MutationalPatterns package in R/Bioconductor was used to extract de novo single-base substitution (SBS) and insertion-deletion (indel) mutational signatures and to fit COSMIC SBS and indel signatures. We assessed associations between these signatures and clinical characteristics of disease, in addition to recurrence-free (RFS) and overall survival (OS). Five SBS and two indel signatures were extracted. The SBS13-like signature had higher relative contributions in the HER2-enriched subtype. Patients with higher than median contribution tended to have better RFS after adjustment for other prognostic factors (HR = 0.29; 95% CI: 0.08-1.06). An unsupervised clustering algorithm based on absolute contribution revealed three clusters of fitted COSMIC SBS signatures, but cluster membership was not associated with clinical variables or survival outcomes. The results of this exploratory study reveal various SBS and indel signatures may be associated with clinical features of disease and prognosis. Future studies with larger samples are required to better understand the mechanistic underpinnings of disease progression and treatment response in EoBC.

Indexed as

Breast NeoplasmsAdultAge of OnsetAlbertaBiomarkers, TumorFemaleHumansINDEL MutationMiddle AgedMutationPrognosisBiomarkers, Tumorbiomarkersbiostatisticsbreast cancercancer bioinformaticsearly-onsetgenomic sequencingmutational signaturespatient outcomespersonalized medicineyoung age

Identifiers

PMID38790221
PMCPMC11121604

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.