Evidence map›Paper›PMID 33568222›Full record

ArticleBreast cancer research : BCR2021

Molecular analyses of triple-negative breast cancer in the young and elderly.

Mattias Aine, Ceren Boyaci, Johan Hartman, Jari Häkkinen, Shamik Mitra, Ana Bosch Campos, Emma Nimeus, Anna Ehinger, Johan Vallon-Christersson, Åke Borg and 1 more

Erratum issued Registry-linked trialAbstract read
In one paragraph

Article in Breast cancer research : BCR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT02306096 (SCAN-B), which is not on this map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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.

NCT02306096 recruitingnot on this map

SCAN-B: The Sweden Cancerome Analysis Network - Breast Initiative

TypeobservationalSponsorLund UniversityRan2010 to 2031Enrolled20,000ConditionsBreast Neoplasms
3 · Its place in the literature

Who cites it

36 citing papers in PubMed.

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  18. ConstitutionalHuman mutation · 2024
    Review
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  20. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Mattias AineDivision of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, SE-22381, Lund, Sweden.
Ceren BoyaciDepartment of Clinical Pathology and Cytology, Karolinska University Laboratory, Stockholm, Sweden.
Johan HartmanDepartment of Oncology and Pathology, Karolinska Institute, Stockholm, Sweden.
Jari HäkkinenDivision of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, SE-22381, Lund, Sweden.
Shamik MitraDivision of Clinical Genetics, Department of Laboratory Medicine, Lund University, Lund, Sweden.
Ana Bosch CamposDivision of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, SE-22381, Lund, Sweden.
Emma NimeusDivision of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, SE-22381, Lund, Sweden.
Anna EhingerDivision of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, SE-22381, Lund, Sweden.
Johan Vallon-ChristerssonDivision of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, SE-22381, Lund, Sweden.
Åke BorgDivision of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, SE-22381, Lund, Sweden.
Johan StaafDivision of Oncology, Department of Clinical Sciences Lund, Lund University, Medicon Village, SE-22381, Lund, Sweden. Johan.staaf@med.lu.se.ORCID 0000-0001-5254-5115

Funding

Cancerfonden CAN 2018/685Fru Berta Kamprads Stiftelse 2020-5-282
6 · The paper itself

Abstract

backgroundBreast cancer in young adults has been implicated with a worse outcome. Analyses of genomic traits associated with age have been heterogenous, likely because of an incomplete accounting for underlying molecular subtypes. We aimed to resolve whether triple-negative breast cancer (TNBC) in younger versus older patients represent similar or different molecular diseases in the context of genetic and transcriptional subtypes and immune cell infiltration. PATIENTS AND

methodsIn total, 237 patients from a reported population-based south Swedish TNBC cohort profiled by RNA sequencing and whole-genome sequencing (WGS) were included. Patients were binned in 10-year intervals. Complimentary PD-L1 and CD20 immunohistochemistry and estimation of tumor-infiltrating lymphocytes (TILs) were performed. Cases were analyzed for differences in patient outcome, genomic, transcriptional, and immune landscape features versus age at diagnosis. Additionally, 560 public WGS breast cancer profiles were used for validation.

resultsMedian age at diagnosis was 62 years (range 26-91). Age was not associated with invasive disease-free survival or overall survival after adjuvant chemotherapy. Among the BRCA1-deficient cases (82/237), 90% were diagnosed before the age of 70 and were predominantly of the basal-like subtype. In the full TNBC cohort, reported associations of patient age with changes in Ki67 expression, PIK3CA mutations, and a luminal androgen receptor subtype were confirmed. Within DNA repair deficiency or gene expression defined molecular subgroups, age-related alterations in, e.g., overall gene expression, immune cell marker gene expression, genetic mutational and rearrangement signatures, amount of copy number alterations, and tumor mutational burden did, however, not appear distinct. Similar non-significant associations for genetic alterations with age were obtained for other breast cancer subgroups in public WGS data. Consistent with age-related immunosenescence, TIL counts decreased linearly with patient age across different genetic TNBC subtypes.

conclusionsAge-related alterations in TNBC, as well as breast cancer in general, need to be viewed in the context of underlying genomic phenotypes. Based on this notion, age at diagnosis alone does not appear to provide an additional layer of biological complexity above that of proposed genetic and transcriptional phenotypes of TNBC. Consequently, treatment decisions should be less influenced by age and more driven by tumor biology.

Indexed as

Biomarkers, TumorAdultAgedAged, 80 and overAge FactorsAge of OnsetChemotherapy, AdjuvantDisease SusceptibilityDNA Copy Number VariationsGene Expression ProfilingHumansImmunohistochemistryMiddle AgedMutationNeoplasm GradingNeoplasm StagingBiomarkers, TumorAge at diagnosisGene expressionMutational signaturesMutationsPatient outcomePD-L1TILsTriple-negative breast cancer

Identifiers

PMID33568222
PMCPMC7874480

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Registered trials

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.