ArticleBMC cancer2020
Mutational landscape differences between young-onset and older-onset breast cancer patients.
Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.
- DNA Repair Genes as Drug Candidates for Early Breast Cancer Onset in Latin America: A Systematic Review.International journal of molecular sciences · 2021Pooled it
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- Age-related genomic characterization and therapeutic targets in Chinese breast cancer: insights from prospective targeted sequencing and clinical data analysis.BMC medicine · 2026Article
- Tumor genomics in patients younger than 40 years of age with metastatic breast cancer.NPJ precision oncology · 2026Article
- Age-Associated Genetic Variations in Breast Cancer: Somatic Mutations and Co-Mutations.Biomedicines · 2026Article
- Aging-associated differences in mammary tumor-initiating populations and immune evasion pathways in breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Estimating the carcinogenesis timelines in early-onset versus late-onset cancers and changes across birth cohorts.medRxiv : the preprint server for health sciences · 2025Article
- Prevalence of targetable genomic alterations among a diverse population participating in the ASCO TAPUR Study.NPJ precision oncology · 2025Article
- Bayesian multi-study non-negative matrix factorization for mutational signatures.Genome biology · 2025Article
- Genomic Analysis Reveals Racial and Age-Related Differences in the Somatic Landscape of Breast Cancer and the Association with Socioeconomic Factors.Cancer research · 2025Article
- Development and validation of a postoperative prognostic model for hormone receptor positive early stage breast cancer recurrence.Scientific reports · 2025Article
- Translocation of benzo(a)pyrene reactive metabolites across human mammary epithelial cell membranes.PloS one · 2025Article
- Multiomics approach towards characterization of tumor cell plasticity and its significance in precision and personalized medicine.Cancer metastasis reviews · 2024Review
- Age- and ethnic-driven molecular and clinical disparity of East Asian breast cancers.BMC medicine · 2024Article
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- Aging-related biomarker discovery in the era of immune checkpoint inhibitors for cancer patients.Frontiers in immunology · 2024Review
- Sex-dependent associations between MAP3K1 gene polymorphisms and soy products with the gastric cancer risk in Korea: a case-control study.BMC gastroenterology · 2022Article
- Insulin resistance and the development of breast cancer in premenopausal women: the Kangbuk Samsung Health Study.Breast cancer research and treatment · 2022Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe incidence of breast cancer among young women (aged ≤40 years) has increased in North America and Europe. Fewer than 10% of cases among young women are attributable to inherited BRCA1 or BRCA2 mutations, suggesting an important role for somatic mutations. This study investigated genomic differences between young- and older-onset breast tumours.
methodsIn this study we characterized the mutational landscape of 89 young-onset breast tumours (≤40 years) and examined differences with 949 older-onset tumours (> 40 years) using data from The Cancer Genome Atlas. We examined mutated genes, mutational load, and types of mutations. We used complementary R packages "deconstructSigs" and "SomaticSignatures" to extract mutational signatures. A recursively partitioned mixture model was used to identify whether combinations of mutational signatures were related to age of onset.
resultsOlder patients had a higher proportion of mutations in PIK3CA, CDH1, and MAP3K1 genes, while young-onset patients had a higher proportion of mutations in GATA3 and CTNNB1. Mutational load was lower for young-onset tumours, and a higher proportion of these mutations were C > A mutations, but a lower proportion were C > T mutations compared to older-onset tumours. The most common mutational signatures identified in both age groups were signatures 1 and 3 from the COSMIC database. Signatures resembling COSMIC signatures 2 and 13 were observed among both age groups. We identified a class of tumours with a unique combination of signatures that may be associated with young age of onset.
conclusionsThe results of this exploratory study provide some evidence that the mutational landscape and mutational signatures among young-onset breast cancer are different from those of older-onset patients. The characterization of young-onset tumours could provide clues to their etiology which may inform future prevention. Further studies are required to confirm our findings.
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