Differential causative effects of germline pathogenic variants in MUTYH and PALB2 in a patient with colorectal polyposis and breast cancer
Camacho Valenzuela, J.; Pelletier, D.; Polak, P.; Fu, L.; Hamel, N.; Domecq, C.; Ahmed, A.; Robles-Espinoza, C. D.; Foulkes, W. D.
Show abstract
Purpose Patients carrying Germline Pathogenic Variants (GPVs) in multiple cancer susceptibility genes (CSGs) can be described within the context of Multi-locus Inherited Neoplasia Allele Syndrome (MINAS). The role of each GPV is typically interpreted based on clinical phenotypes. Here, we used tumor sequencing, particularly mutational signatures, to investigate the contribution of GPVs in MUTYH and PALB2 to colorectal polyposis and breast cancer in a single patient at a molecular level. Methods We analyzed tumor sequencing data, including mutational signatures and genomic scars, of a breast tumor and a colorectal polyp from a patient with biallelic GPVs in MUTYH and a heterozygous GPV in PALB2. Results The colorectal polyp showed a dominant contribution of MUTYH-associated Base Excision Repair deficiency (BERd) mutational signatures, with no evidence of Homologous Recombination Repair Deficiency (HRD). In contrast, the breast tumor showed both MUTYH-driven BERd and HRD-associated signatures, including SBS3, ID6 and an elevated HRD score, despite the absence of a detectable second hit in PALB2. These findings suggest a differential contribution from the CSGs, with MUTYH contributing to both lesions and PALB2 contributing specifically to the breast tumor. The observed pattern does not align with the additive or synergistic models described in MINAS. Conclusions Our study provides evidence that mutational signatures can elucidate the contribution of multiple CSGs to tumorigenesis within a single patient. These findings extend current interpretations of MINAS beyond additive or synergistic phenotypes, which may help to better understand tumor etiology, with potential clinical implications, including eligibility for targeted therapies.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Estimating cancer risk in carriers of Lynch syndrome variants in UK Biobank 95%
- Population based targeted sequencing of 54 candidate genes identifies PALB2 as a susceptibility gene for high grade serous ovarian cancer 91%
- A Comprehensive Epithelial Tubo-Ovarian Cancer Risk Prediction Model Incorporating Genetic and Epidemiological Risk Factors 91%
Similar papers in this journal
- Impact of genetic counselling strategy on diagnostic yield and workload for whole genome sequencing-based tumour diagnostics 94%
- Performance of polygenic risk scores for cancer prediction in a racially diverse academic biobank 93%
- Evaluation of Bayesian Classification Framework on the Variant Classification of Hereditary Cancer Predisposition Genes 92%
Similar papers in this journal
- Molecular Drivers of Tumor Progression in Microsatellite Stable APC Mutation-Negative Colorectal Cancers 94%
- Prevalence of pathogenic variants in DNA damage response genes in patients undergoing cancer risk assessment and reporting a personal history of early-onset renal cancer 94%
- Detection of genomic alterations in breast cancer with circulating tumour DNA sequencing 93%
Similar papers in this journal
- Family History Assessment Significantly Enhances Delivery of Precision Medicine in the Genomics Era 94%
- Somatic mutational profiles and germline polygenic risk scores in human cancer 93%
- Genomic analysis of patient-derived xenograft models reveals intra-tumor heterogeneity in endometrial cancer and can predict tumor growth inhibition with talazoparib 93%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.