Identification of new candidate genes for germline predisposition to familial colorectal cancer using somatic mutational profiling
[eng] Colorectal cancer (CRC) is one of the malignant neoplasms with higher incidence and mortality in Spain, Europe and worldwide. As a complex disease, both environmental and genetic factors influence CRC predisposition. Up to 35% of CRC patients present familial aggregation for the disease, where...
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| Tipo de recurso: | tesis doctoral |
| Estado: | Versión publicada |
| Fecha de publicación: | 2019 |
| País: | España |
| Institución: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/154819 |
| Acceso en línea: | https://hdl.handle.net/2445/154819 http://hdl.handle.net/10803/668900 |
| Access Level: | acceso abierto |
| Palabra clave: | Oncologia Genòmica Càncer colorectal Genètica mèdica Bioinformàtica Mutació (Biologia) Oncology Genomics Colorectal cancer Medical genetics Bioinformatics Mutation (Biology) |
| Sumario: | [eng] Colorectal cancer (CRC) is one of the malignant neoplasms with higher incidence and mortality in Spain, Europe and worldwide. As a complex disease, both environmental and genetic factors influence CRC predisposition. Up to 35% of CRC patients present familial aggregation for the disease, whereas only around 2-8% of cases are linked to a well-known hereditary syndrome associated to pathogenic germline alterations in specific genes, namely APC, MUTYH, POLE, POLD1 or the DNA mismatch repair genes. During last years, next generation sequencing (NGS) techniques such as whole exome sequencing (WES) have been used to address this gap of missing heritability. Characterization of somatic mutational profiles, performed by the application of NGS to both germline and tumor DNA, has also been recently established as a powerful tool to identify novel genes linked to CRC predisposition. However, although some bioinformatic packages have been developed to address this analysis, it remains inaccessible for a substantial proportion of the scientific community. Accordingly, the main purpose of this doctoral thesis was to identify new genes involved in germline predisposition to familial CRC, by using an integrated germline-tumor WES analysis and somatic mutational profiling, as well as facilitating the application of these genomic analyses to the scientific community. As a first step, a bioinformatic tool to deal with somatic mutational profiling was developed. Shiny framework was used to build MuSiCa, a user-friendly web application freely accessible and potentially useful for non-specialized researchers. Tumor mutational burden calculation and mutational signature refitting analysis according to the information present in COSMIC database is available, as well as different options for sample classification through clustering and principal component analysis. Subsequently, an integrated germline-tumor analysis was implemented in a cohort of 18 familial CRC unrelated patients. WES data of both germline and tumor DNA was available, allowing the identification of new potential tumor suppressor genes according to Knudson’s two-hit hypothesis. Benefitting from the development of MuSiCa application, somatic mutational profiling was also analyzed, uncovering five hypermutated samples. An enrichment of DNA repair-associated genes was found, as well as some genes previously linked to predisposition syndromes to other cancer types. BRCA2, BLM, ERCC2, RECQL, REV3L and RIF1 were found as the most promising candidate genes for germline CRC predisposition. Interestingly, a germline mutation was found in the DNA repair gene RECQL in a patient with one of the hypermutated tumors, reinforcing the putative role of this gene in hereditary CRC. These findings could be helpful in clinical practice improving genetic counseling in the affected families. |
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