Finding Biomarkers of Metastatic Potential in Colorectal Cancer

Detalhes bibliográficos
Autor(a) principal: Fiori, Valério da Silva
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/59365
Resumo: Tese de mestrado, Bioinformática e Biologia Computacional, 2023, Universidade de Lisboa, Faculdade de Ciências
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spelling Finding Biomarkers of Metastatic Potential in Colorectal Cancercancro colorretalmetástasebiomarcadortranscriptómicaprevisãoTeses de mestrado - 2023Departamento de InformáticaTese de mestrado, Bioinformática e Biologia Computacional, 2023, Universidade de Lisboa, Faculdade de CiênciasColorectal cancer (CRC) is among the most common cancers and globally one of the deadliest. Treatments for this disease have been improving, increasing the survival rates for CRC patients. On the contrary, when the cancer progresses and metastasis occurs, the overall survival rates are quite low, reflecting the role of metastasis as the leading cause of death. CRC is a very heterogeneous disease that can be classified in various types depending on how it develops, and in which are involved many different pathways. Despite its complexity, CRC molecular mechanisms are each year being better understood, including events like cell proliferation, immune surveillance blockage, cell adhesion disturbances. These mechanisms may be related to cancer progression from primary to metastatic. Biomarkers are molecules found in tissue, blood, or stool samples and have been used to identify diseases like cancer. These markers have proved to be very beneficial in the aid of CRC treatment and other cancers. Despite that, the identification of reliable biomarkers for metastatic CRC remains poor, mainly biomarkers that predict metastasis development. Here we uncovered promising biomarkers in early stages that reflect the tumour potential to evolve from primary to metastasis. Bioinformatic analyses were conducted with transcriptomic data to investigate gene expression differentiation, gene sets enrichment, and to create a predictive model. Genomic data was also analysed to find correlations between mutations and metastasis occurrence, although this last step was inconclusive. The most differential expressed genes found have been also identified to be related to metastasis in other studies and the same happened with some of the enriched pathways. The predictive model had an insufficient efficacy but revealed to be promising. Here we showed the impact that gene expression analysis can have in the important field of biomarker research and the need of future studies with this type of data.Sobral, DanielSousa, Lisete Maria Ribeiro de, 1972-Repositório da Universidade de LisboaFiori, Valério da Silva2023-09-19T08:30:23Z202320232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10451/59365enginfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T17:08:26Zoai:repositorio.ul.pt:10451/59365Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:09:18.211590Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Finding Biomarkers of Metastatic Potential in Colorectal Cancer
title Finding Biomarkers of Metastatic Potential in Colorectal Cancer
spellingShingle Finding Biomarkers of Metastatic Potential in Colorectal Cancer
Fiori, Valério da Silva
cancro colorretal
metástase
biomarcador
transcriptómica
previsão
Teses de mestrado - 2023
Departamento de Informática
title_short Finding Biomarkers of Metastatic Potential in Colorectal Cancer
title_full Finding Biomarkers of Metastatic Potential in Colorectal Cancer
title_fullStr Finding Biomarkers of Metastatic Potential in Colorectal Cancer
title_full_unstemmed Finding Biomarkers of Metastatic Potential in Colorectal Cancer
title_sort Finding Biomarkers of Metastatic Potential in Colorectal Cancer
author Fiori, Valério da Silva
author_facet Fiori, Valério da Silva
author_role author
dc.contributor.none.fl_str_mv Sobral, Daniel
Sousa, Lisete Maria Ribeiro de, 1972-
Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Fiori, Valério da Silva
dc.subject.por.fl_str_mv cancro colorretal
metástase
biomarcador
transcriptómica
previsão
Teses de mestrado - 2023
Departamento de Informática
topic cancro colorretal
metástase
biomarcador
transcriptómica
previsão
Teses de mestrado - 2023
Departamento de Informática
description Tese de mestrado, Bioinformática e Biologia Computacional, 2023, Universidade de Lisboa, Faculdade de Ciências
publishDate 2023
dc.date.none.fl_str_mv 2023-09-19T08:30:23Z
2023
2023
2023-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/59365
url http://hdl.handle.net/10451/59365
dc.language.iso.fl_str_mv eng
language eng
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instacron:RCAAP
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