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1.
Adv Exp Med Biol ; 1168: 147-156, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31713170

RESUMO

The microbiome comprises all the genetic material within a microbiota, that represents tenfold higher than that of our cells. The microbiota it includes a wide variety of microorganisms such as bacteria, viruses, protozoans, fungi, and archaea, and this ecosystem is personalized in any body space of every individual. Balanced microbial communities can positively contribute to training the immune system and maintaining immune homeostasis. Dysbiosis is a change in the normal microbiome composition that can initiate chronic inflammation, epithelial barrier breaches, and overgrowth of harmful bacteria. The next-generation sequencing methods have revolutionized the study of the microbiome. Bioinformatic tools to manage large volumes of new information, it became possible to assess species diversity and measure dynamic fluctuations in microbial communities. The burden of infections that are associated to human cancer is increasing but is underappreciated by the cancer research community. The rich content in microbes of normal and tumoral tissue reflect could be defining diverse physiological or pathological states. Genomic research has emerged a new focus on the interplay between the human microbiome and carcinogenesis and has been termed the 'oncobiome'. The interactions among the microbiota in all epithelium, induce changes in the host immune interactions and can be a cause of cancer. Microbes have been shown to have systemic effects on the host that influence the efficacy of anticancer drugs. Metagenomics allows to investigate the composition of microbial community. Metatranscriptome analysis applies RNA sequencing to microbial samples to determine which species are present. Cancer can be caused by changes in the microbiome. The roles of individual microbial species in cancer progression have been identified long ago for various tissue types. The identification of microbiomes of drug resistance in the treatment of cancer patients has been the subject of numerous microbiome studies. The complexity of cancer genetic alterations becomes irrelevant in certain cancers to explain the origin, the cause or the oncogenic maintenance by the oncogene addiction theory.


Assuntos
Microbiota , Neoplasias , Bactérias/genética , Disbiose , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Metagenômica , Microbiota/genética , Microbiota/fisiologia , Neoplasias/microbiologia
2.
Clin. transl. oncol. (Print) ; 18(9): 863-871, sept. 2016. tab, mapas
Artigo em Inglês | IBECS | ID: ibc-155499

RESUMO

Melanoma was one of the translational cancer examples in clinic, including target therapy related to specific biomarkers impacting in the outcome of melanoma patients. Melanomagenesis involved a wide variety of mutations during his evolution; many of these mutated proteins have a kinase activity. One of the most cited proteins in melanoma is BRAF (about 50-60 % of melanomas harbors activating BRAF mutations), for these the most common is a substitution of valine to glutamic acid at codon 600 (p.V600E). Therefore, the precise identification of this underlying somatic mutation is essential; knowing the translational implications has opened a wide view of melanoma biology and therapy (AU)


No disponible


Assuntos
Humanos , Melanoma/genética , Neoplasias Cutâneas/genética , Mutação/genética , Biomarcadores Tumorais/análise , Marcadores Genéticos/genética , MAP Quinases Reguladas por Sinal Extracelular/genética
3.
Clin Transl Oncol ; 18(9): 863-71, 2016 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-26825657

RESUMO

Melanoma was one of the translational cancer examples in clinic, including target therapy related to specific biomarkers impacting in the outcome of melanoma patients. Melanomagenesis involved a wide variety of mutations during his evolution; many of these mutated proteins have a kinase activity. One of the most cited proteins in melanoma is BRAF (about 50-60 % of melanomas harbors activating BRAF mutations), for these the most common is a substitution of valine to glutamic acid at codon 600 (p.V600E). Therefore, the precise identification of this underlying somatic mutation is essential; knowing the translational implications has opened a wide view of melanoma biology and therapy.


Assuntos
Melanoma/genética , Proteínas Proto-Oncogênicas B-raf/genética , Pesquisa Translacional Biomédica , Resistencia a Medicamentos Antineoplásicos/genética , Humanos , Mutação
4.
Clin Exp Immunol ; 145(3): 448-55, 2006 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-16907912

RESUMO

Inflammation is necessary for survival, but it is also an important cause of human morbidity and mortality, as exemplified by sepsis. During inflammation, cells of the innate immune system are recruited and activated in response to infection, trauma or injury. These cells are activated through receptors, such as Toll-like receptors (TLRs), which recognize microbial ligands such as lipopolysaccharide (LPS). Triggering receptor expressed on myeloid cells (TREM)-1 amplifies the inflammatory response initiated by TLRs, and its expression on the surface of monocytes increases in the presence of TLR ligands. Here we have shown that in monocytes TREM-1 mRNA levels, measured by reverse transcription-polymerase chain reaction (RT-PCR), remained unchanged and TREM-1 protein levels, measured by flow cytometry, increased, indicating that LPS increases TREM-1 expression by a post-transcriptional mechanism. We also showed that TREM-1/Fc fusion protein decreased the ability of the sera of some patients with sepsis to activate monocytes, indicating that the TREM-1 ligand, whose identity is unknown, may be present in the sera of some of these patients. We describe a mechanism for the regulation of TREM-1 expression on monocytes and the possible presence of its ligand in serum; these findings help to explain the contribution of TREM-1 during systemic inflammation.


Assuntos
Glicoproteínas de Membrana/análise , Glicoproteínas de Membrana/sangue , Monócitos/metabolismo , Processamento Pós-Transcricional do RNA , Receptores Imunológicos/análise , Receptores Imunológicos/sangue , Sepse/imunologia , Adulto , Técnicas de Cultura de Células , Distribuição de Qui-Quadrado , Feminino , Citometria de Fluxo/métodos , Humanos , Interleucina-10/imunologia , Lipopolissacarídeos/farmacologia , Ativação Linfocitária , Masculino , Glicoproteínas de Membrana/genética , Pessoa de Meia-Idade , RNA Mensageiro/análise , Receptores Imunológicos/genética , Reação em Cadeia da Polimerase Via Transcriptase Reversa , Sepse/sangue , Estatísticas não Paramétricas , Receptor Gatilho 1 Expresso em Células Mieloides , Fator de Necrose Tumoral alfa/imunologia
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