Analysis of the microbiome of human stool samples : approaching colorectal cancer diagnosis

Detalhes bibliográficos
Autor(a) principal: Gomes, Carla Filipa Norte
Data de Publicação: 2018
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/25411
Resumo: Histologically, colorectal cancer (CRC) resides in the abnormal proliferation of epithelial cells of the colon mucosa, progressing from adenoma to adenocarcinoma. This cancer continues to be the third with the highest incidence and mortality worldwide. It is caused by an accumulation of genetic mutations and epigenetic silencing, in addition to other intrinsic and extrinsic risk factors. Due to the high rates of incidence and mortality, diagnostic and prevention tools have been created, implemented, and optimized. However, the need to develop tools that provide an increasingly early, rigorous and sensitive diagnosis remains a pressing need. In this sense, the objectives of this dissertation were: (1) to develop the state of the art about CRC diagnostic tools, (2) to summarize "omic" applications in order to identify microbial biomarkers related to CRC and (3) to compare the microbiome of Portuguese patients with CRC and healthy individuals. Currently, the diagnosis of CRC has been driven by more (e.g., colonoscopy) or less (e.g., imaging techniques, molecular biomarkers) invasive procedures. Recently, the search for microbial biomarkers through "omic" tools has been an alternative, mainly due to the relevance of the microbiome in the metabolic and physiological homeostasis, as well as in the functioning of the host immune system. Thus, the intestinal microbiome has been assigned an active role in the evolution of CRC, being able to influence or be influenced by the disease. In particular, the metagenomic and metabolomic analysis of the CRC-associated microbiome in stool samples has stimulated the scientific community in the search for sensitive, reliable, differential, stable, and early biomarkers in the non-invasive detection of the disease. However, these advances lack representativeness for several geographic areas, given the cultural, genetic, and environmental impact on the incidence of this disease. In this sense, the microbiome (with a focus on Bacteria) was analyzed in feces of two clinical groups constituted by Portuguese individuals (patients with CRC and healthy individuals), through the sequencing of the 16S rRNA gene using Ilumina MiSeq. This study is a contribution to fill the gap of existing knowledge about the microbiome associated with CRC in the Portuguese population. Although the structure of the fecal microbiome assumes homogeneous patterns among individuals of the same clinical group, there was some variability in the abundance of taxa between these groups and at different stages of CRC. For example, Prevotella, Alloprevotella, Sutterella, Desulfovibrio and Olsenella observed in CRC samples can serve as microbial biomarkers. In the future, the study will be extended to larger population samples, as well as to other types of human samples and clinical groups, in order to identify sensitive and specific microbial signatures that can translate the development of CRC, thus reducing incidence rates and mortality.
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spelling Analysis of the microbiome of human stool samples : approaching colorectal cancer diagnosisColorectal cancer biomarkersCancer stagingClinical groups, bacteria, stool, microbiome, dysbiosis, biomarkers, “omics”, metagenomics,16S rRNA gene, clinical diagnosisBacteriaStoolMicrobiomeDysbiosisBiomarkers“omics”Metagenomics16S rRNA geneClinical diagnosisHistologically, colorectal cancer (CRC) resides in the abnormal proliferation of epithelial cells of the colon mucosa, progressing from adenoma to adenocarcinoma. This cancer continues to be the third with the highest incidence and mortality worldwide. It is caused by an accumulation of genetic mutations and epigenetic silencing, in addition to other intrinsic and extrinsic risk factors. Due to the high rates of incidence and mortality, diagnostic and prevention tools have been created, implemented, and optimized. However, the need to develop tools that provide an increasingly early, rigorous and sensitive diagnosis remains a pressing need. In this sense, the objectives of this dissertation were: (1) to develop the state of the art about CRC diagnostic tools, (2) to summarize "omic" applications in order to identify microbial biomarkers related to CRC and (3) to compare the microbiome of Portuguese patients with CRC and healthy individuals. Currently, the diagnosis of CRC has been driven by more (e.g., colonoscopy) or less (e.g., imaging techniques, molecular biomarkers) invasive procedures. Recently, the search for microbial biomarkers through "omic" tools has been an alternative, mainly due to the relevance of the microbiome in the metabolic and physiological homeostasis, as well as in the functioning of the host immune system. Thus, the intestinal microbiome has been assigned an active role in the evolution of CRC, being able to influence or be influenced by the disease. In particular, the metagenomic and metabolomic analysis of the CRC-associated microbiome in stool samples has stimulated the scientific community in the search for sensitive, reliable, differential, stable, and early biomarkers in the non-invasive detection of the disease. However, these advances lack representativeness for several geographic areas, given the cultural, genetic, and environmental impact on the incidence of this disease. In this sense, the microbiome (with a focus on Bacteria) was analyzed in feces of two clinical groups constituted by Portuguese individuals (patients with CRC and healthy individuals), through the sequencing of the 16S rRNA gene using Ilumina MiSeq. This study is a contribution to fill the gap of existing knowledge about the microbiome associated with CRC in the Portuguese population. Although the structure of the fecal microbiome assumes homogeneous patterns among individuals of the same clinical group, there was some variability in the abundance of taxa between these groups and at different stages of CRC. For example, Prevotella, Alloprevotella, Sutterella, Desulfovibrio and Olsenella observed in CRC samples can serve as microbial biomarkers. In the future, the study will be extended to larger population samples, as well as to other types of human samples and clinical groups, in order to identify sensitive and specific microbial signatures that can translate the development of CRC, thus reducing incidence rates and mortality.Do ponto de vista histológico, o cancro coloretal (CCR) reside na proliferação anormal de células epiteliais da mucosa do cólon, progredindo de adenoma a adenocarcinoma. Este cancro continua a ser o terceiro com maior incidência e mortalidade mundialmente. É causado por um acúmulo de mutações genéticas e silenciamento epigenético, para além de outros fatores de risco intrínsecos e extrínsecos. Devido às altas taxas de incidência e mortalidade, têm vindo a ser criadas, implementadas e otimizadas ferramentas de diagnóstico e prevenção. No entanto, continua premente a necessidade de desenvolver ferramentas que forneçam um diagnóstico cada vez mais precoce, rigoroso e sensível. Neste sentido, os objetivos desta dissertação consistiram em (1) desenvolver o estado da arte acerca das ferramentas de diagnóstico de CCR, (2) resumir as aplicações “ômicas” para indentificar biomarcadores microbianos relacionados com CCR e (3) comparar o microbioma de pacientes portugueses com CCR e indivíduos saudáveis. Atualmente, o diagnóstico de CCR tem vindo a ser conduzido por procedimentos mais (e.g., colonoscopia) ou menos (e.g., técnicas de imagem, biomarcadores moleculares) invasivos. Muito recentemente, a procura de biomarcadores microbianos através de ferramentas “ómicas” tem sido uma alternativa, principalmente devido à relevância do microbioma nas homeostase metabólica e fisiológica, assim como no funcionamento do sistema imunitário do hospedeiro. Assim, ao microbioma intestinal tem sido atribuído um papel ativo na evolução do CCR, podendo influenciar ou ser influenciado pela doença. Em particular, a análise metagenómica e metabolómica do microbioma associado a CCR em amostras de fezes tem estimulado a comunidade científica na procura de biomarcadores sensíveis, fidedignos, diferenciais, estáveis e precoces na deteção não invasiva da doença. Contudo, estes avanços carecem de uma representatividade para diversas áreas geográficas, dada o impacto cultural, genético e ambiental na incidência desta doença. Neste sentido, realizou-se a análise do microbioma (com enfoque em Bacteria) em fezes de dois grupos clínicos constituídos por indivíduos Portugueses (pacientes com CCR e indivíduos saudáveis), através da sequenciação do gene 16S rRNA usando Ilumina MiSeq. Este estudo é um contributo para colmatar a lacuna de conhecimento existente sobre o microbioma associado a CCR na população Portuguesa. Apesar da estrutura do microbioma de fezes assumir padrões homogéneos entre indivíduos do mesmo grupo clínico, houve alguma variabilidade na abundância de taxa entre esses grupos e em diferentes estádios do CCR. Por exemplo, maiores abundâncias de Prevotella, Alloprevotella, Sutterella, Desulfovibrio e Olsenella observadas em amostras de CCR podem servir como biomarcadores microbianos. No futuro, o estudo será alargado a amostras populacionais maiores, assim como a outro tipo de amostras humanas e grupos clínicos, no sentido de identificar assinaturas microbianas sensíveis e específicas, que possam traduzir o desenvolvimento de CCR, reduzindo, assim, as taxas de incidência e mortalidade.2020-12-21T00:00:00Z2018-12-14T00:00:00Z2018-12-14info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/25411TID:202232980engGomes, Carla Filipa Norteinfo: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:RCAAP2024-02-22T11:49:26Zoai:ria.ua.pt:10773/25411Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T02:58:43.478636Repositório 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 Analysis of the microbiome of human stool samples : approaching colorectal cancer diagnosis
title Analysis of the microbiome of human stool samples : approaching colorectal cancer diagnosis
spellingShingle Analysis of the microbiome of human stool samples : approaching colorectal cancer diagnosis
Gomes, Carla Filipa Norte
Colorectal cancer biomarkers
Cancer staging
Clinical groups, bacteria, stool, microbiome, dysbiosis, biomarkers, “omics”, metagenomics,16S rRNA gene, clinical diagnosis
Bacteria
Stool
Microbiome
Dysbiosis
Biomarkers
“omics”
Metagenomics
16S rRNA gene
Clinical diagnosis
title_short Analysis of the microbiome of human stool samples : approaching colorectal cancer diagnosis
title_full Analysis of the microbiome of human stool samples : approaching colorectal cancer diagnosis
title_fullStr Analysis of the microbiome of human stool samples : approaching colorectal cancer diagnosis
title_full_unstemmed Analysis of the microbiome of human stool samples : approaching colorectal cancer diagnosis
title_sort Analysis of the microbiome of human stool samples : approaching colorectal cancer diagnosis
author Gomes, Carla Filipa Norte
author_facet Gomes, Carla Filipa Norte
author_role author
dc.contributor.author.fl_str_mv Gomes, Carla Filipa Norte
dc.subject.por.fl_str_mv Colorectal cancer biomarkers
Cancer staging
Clinical groups, bacteria, stool, microbiome, dysbiosis, biomarkers, “omics”, metagenomics,16S rRNA gene, clinical diagnosis
Bacteria
Stool
Microbiome
Dysbiosis
Biomarkers
“omics”
Metagenomics
16S rRNA gene
Clinical diagnosis
topic Colorectal cancer biomarkers
Cancer staging
Clinical groups, bacteria, stool, microbiome, dysbiosis, biomarkers, “omics”, metagenomics,16S rRNA gene, clinical diagnosis
Bacteria
Stool
Microbiome
Dysbiosis
Biomarkers
“omics”
Metagenomics
16S rRNA gene
Clinical diagnosis
description Histologically, colorectal cancer (CRC) resides in the abnormal proliferation of epithelial cells of the colon mucosa, progressing from adenoma to adenocarcinoma. This cancer continues to be the third with the highest incidence and mortality worldwide. It is caused by an accumulation of genetic mutations and epigenetic silencing, in addition to other intrinsic and extrinsic risk factors. Due to the high rates of incidence and mortality, diagnostic and prevention tools have been created, implemented, and optimized. However, the need to develop tools that provide an increasingly early, rigorous and sensitive diagnosis remains a pressing need. In this sense, the objectives of this dissertation were: (1) to develop the state of the art about CRC diagnostic tools, (2) to summarize "omic" applications in order to identify microbial biomarkers related to CRC and (3) to compare the microbiome of Portuguese patients with CRC and healthy individuals. Currently, the diagnosis of CRC has been driven by more (e.g., colonoscopy) or less (e.g., imaging techniques, molecular biomarkers) invasive procedures. Recently, the search for microbial biomarkers through "omic" tools has been an alternative, mainly due to the relevance of the microbiome in the metabolic and physiological homeostasis, as well as in the functioning of the host immune system. Thus, the intestinal microbiome has been assigned an active role in the evolution of CRC, being able to influence or be influenced by the disease. In particular, the metagenomic and metabolomic analysis of the CRC-associated microbiome in stool samples has stimulated the scientific community in the search for sensitive, reliable, differential, stable, and early biomarkers in the non-invasive detection of the disease. However, these advances lack representativeness for several geographic areas, given the cultural, genetic, and environmental impact on the incidence of this disease. In this sense, the microbiome (with a focus on Bacteria) was analyzed in feces of two clinical groups constituted by Portuguese individuals (patients with CRC and healthy individuals), through the sequencing of the 16S rRNA gene using Ilumina MiSeq. This study is a contribution to fill the gap of existing knowledge about the microbiome associated with CRC in the Portuguese population. Although the structure of the fecal microbiome assumes homogeneous patterns among individuals of the same clinical group, there was some variability in the abundance of taxa between these groups and at different stages of CRC. For example, Prevotella, Alloprevotella, Sutterella, Desulfovibrio and Olsenella observed in CRC samples can serve as microbial biomarkers. In the future, the study will be extended to larger population samples, as well as to other types of human samples and clinical groups, in order to identify sensitive and specific microbial signatures that can translate the development of CRC, thus reducing incidence rates and mortality.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-14T00:00:00Z
2018-12-14
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