| Literature DB >> 32107283 |
Lucía Trilla-Fuertes1, Ismael Ghanem2, Angelo Gámez-Pozo3, Joan Maurel4, Laura G-Pastrián5, Marta Mendiola6, Cristina Peña7, Rocío López-Vacas3, Guillermo Prado-Vázquez1, Elena López-Camacho3, Andrea Zapater-Moros3, Victoria Heredia8, Miriam Cuatrecasas9, Pilar García-Alfonso10, Jaume Capdevila11, Carles Conill12, Rocío García-Carbonero13, Ricardo Ramos-Ruiz14, Claudia Fortes15, Carlos Llorens16, Paolo Nanni15, Juan Ángel Fresno Vara17, Jaime Feliu18.
Abstract
Anal squamous cell carcinoma is a rare tumor. Chemo-radiotherapy yields a 50% 3-year relapse-free survival rate in advanced anal cancer, so improved predictive markers and therapeutic options are needed. High-throughput proteomics and whole-exome sequencing were performed in 46 paraffin samples from anal squamous cell carcinoma patients. Hierarchical clustering was used to establish groups de novo Then, probabilistic graphical models were used to study the differences between groups of patients at the biological process level. A molecular classification into two groups of patients was established, one group with increased expression of proteins related to adhesion, T lymphocytes and glycolysis; and the other group with increased expression of proteins related to translation and ribosomes. The functional analysis by the probabilistic graphical model showed that these two groups presented differences in metabolism, mitochondria, translation, splicing and adhesion processes. Additionally, these groups showed different frequencies of genetic variants in some genes, such as ATM, SLFN11 and DST Finally, genetic and proteomic characteristics of these groups suggested the use of some possible targeted therapies, such as PARP inhibitors or immunotherapy.Entities:
Keywords: Omics; anal squamous cell carcinoma; bioinformatics; cancer biology; mass spectrometry; molecular biology; molecular classification; personalized medicine; proteomics; whole-exome sequencing
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Year: 2020 PMID: 32107283 PMCID: PMC7124473 DOI: 10.1074/mcp.RA120.001954
Source DB: PubMed Journal: Mol Cell Proteomics ISSN: 1535-9476 Impact factor: 5.911