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1.
J Vis Exp ; (192)2023 02 17.
Artigo em Inglês | MEDLINE | ID: mdl-36876944

RESUMO

Uterine cancers can be studied in mice due to the ease of handling and genetic manipulation in these models. However, these studies are often limited to assessing pathology post-mortem in animals euthanized at multiple time points in different cohorts, which increases the number of mice needed for a study. Imaging mice in longitudinal studies can track the progression of disease in individual animals, reducing the number of mice needed. Advances in ultrasound technology have allowed for the detection of micrometer-level changes in tissues. Ultrasound has been used to study follicle maturation in ovaries and xenograft growth but has not been applied to morphological changes in the mouse uterus. This protocol examines the juxtaposition of pathology with in vivo imaging comparisons in an induced endometrial cancer mouse model. The features observed by ultrasound were consistent with the degree of change seen by gross pathology and histology. Ultrasound was found to be highly predictive of the observed pathology, supporting the incorporation of ultrasonography into longitudinal studies of uterine diseases such as cancer in mice.


Assuntos
Neoplasias do Endométrio , Animais , Feminino , Camundongos , Modelos Animais de Doenças , Proteínas de Ligação a DNA , Neoplasias do Endométrio/diagnóstico por imagem , Neoplasias do Endométrio/genética , Xenoenxertos , Fator de Transcrição PAX8 , PTEN Fosfo-Hidrolase , Fatores de Transcrição , Ultrassonografia , Deleção de Genes
2.
Science ; 359(6378): 926-930, 2018 Feb 23.
Artigo em Inglês | MEDLINE | ID: mdl-29348365

RESUMO

Earlier detection is key to reducing cancer deaths. Here, we describe a blood test that can detect eight common cancer types through assessment of the levels of circulating proteins and mutations in cell-free DNA. We applied this test, called CancerSEEK, to 1005 patients with nonmetastatic, clinically detected cancers of the ovary, liver, stomach, pancreas, esophagus, colorectum, lung, or breast. CancerSEEK tests were positive in a median of 70% of the eight cancer types. The sensitivities ranged from 69 to 98% for the detection of five cancer types (ovary, liver, stomach, pancreas, and esophagus) for which there are no screening tests available for average-risk individuals. The specificity of CancerSEEK was greater than 99%: only 7 of 812 healthy controls scored positive. In addition, CancerSEEK localized the cancer to a small number of anatomic sites in a median of 83% of the patients.


Assuntos
DNA Tumoral Circulante/genética , Detecção Precoce de Câncer/métodos , Testes Hematológicos , Proteínas de Neoplasias/sangue , Neoplasias/diagnóstico , Neoplasias/cirurgia , Custos e Análise de Custo , Detecção Precoce de Câncer/economia , Testes Hematológicos/economia , Humanos , Mutação , Neoplasias/sangue , Neoplasias/genética , Reação em Cadeia da Polimerase/métodos
3.
Pac Symp Biocomput ; : 31-42, 2012.
Artigo em Inglês | MEDLINE | ID: mdl-22174260

RESUMO

Ovarian cancer is often called the 'silent killer' since it is difficult to have early detection and prognosis. Understanding the biological mechanism related to ovarian cancer becomes extremely important for the purpose of treatment. We propose an integrative framework to identify pathway related networks based on large-scale TCGA copy number data and gene expression profiles. The integrative approach first detects highly conserved copy number altered genes and regards them as seed genes, and then applies a network-based method to identify subnetworks that can differentiate gene expression patterns between different phenotypes of ovarian cancer patients. The identified subnetworks are further validated on an independent gene expression data set using a network-based classification method. The experimental results show that our approach can not only achieve good prediction performance across different data sets but also identify biological meaningful subnetworks involved in many signaling pathways related to ovarian cancer.


Assuntos
Redes Reguladoras de Genes , Neoplasias Ovarianas/genética , Biologia Computacional , Variações do Número de Cópias de DNA , DNA de Neoplasias/genética , Feminino , Perfilação da Expressão Gênica/estatística & dados numéricos , Humanos , Estimativa de Kaplan-Meier , Cadeias de Markov , Modelos Genéticos , RNA Mensageiro/genética , RNA Neoplásico/genética , Máquina de Vetores de Suporte
4.
Science ; 304(5674): 1164-6, 2004 May 21.
Artigo em Inglês | MEDLINE | ID: mdl-15155950

RESUMO

Tyrosine phosphorylation, regulated by protein tyrosine phosphatases (PTPs) and kinases (PTKs), is important in signaling pathways underlying tumorigenesis. A mutational analysis of the tyrosine phosphatase gene superfamily in human cancers identified 83 somatic mutations in six PTPs (PTPRF, PTPRG, PTPRT, PTPN3, PTPN13, PTPN14), affecting 26% of colorectal cancers and a smaller fraction of lung, breast, and gastric cancers. Fifteen mutations were nonsense, frameshift, or splice-site alterations predicted to result in truncated proteins lacking phosphatase activity. Five missense mutations in the most commonly altered PTP (PTPRT) were biochemically examined and found to reduce phosphatase activity. Expression of wild-type but not a mutant PTPRT in human cancer cells inhibited cell growth. These observations suggest that the mutated tyrosine phosphatases are tumor suppressor genes, regulating cellular pathways that may be amenable to therapeutic intervention.


Assuntos
Neoplasias Colorretais/enzimologia , Neoplasias Colorretais/genética , Análise Mutacional de DNA , Mutação , Proteínas Tirosina Fosfatases/genética , Tirosina/metabolismo , Domínio Catalítico , Divisão Celular , Códon sem Sentido , Biologia Computacional , Éxons , Mutação da Fase de Leitura , Genes Supressores de Tumor , Humanos , Cinética , Cadeias de Markov , Mutação de Sentido Incorreto , Proteínas do Tecido Nervoso/química , Proteínas do Tecido Nervoso/genética , Proteínas do Tecido Nervoso/metabolismo , Fosforilação , Proteína Tirosina Fosfatase não Receptora Tipo 13 , Proteína Tirosina Fosfatase não Receptora Tipo 3 , Proteínas Tirosina Fosfatases/química , Proteínas Tirosina Fosfatases/metabolismo , Proteínas Tirosina Fosfatases Classe 5 Semelhantes a Receptores , Transdução de Sinais , Transfecção
5.
Proc Natl Acad Sci U S A ; 99(25): 16156-61, 2002 Dec 10.
Artigo em Inglês | MEDLINE | ID: mdl-12461184

RESUMO

Alterations in the genetic content of a cell are the underlying cause of many human diseases, including cancers. We have developed a method, called digital karyotyping, that provides quantitative analysis of DNA copy number at high resolution. This approach involves the isolation and enumeration of short sequence tags from specific genomic loci. Analysis of human cancer cells by using this method identified gross chromosomal changes as well as amplifications and deletions, including regions not previously known to be altered. Foreign DNA sequences not present in the normal human genome could also be readily identified. Digital karyotyping provides a broadly applicable means for systematic detection of DNA copy number changes on a genomic scale.


Assuntos
Cariotipagem/métodos , Conversão Análogo-Digital , Biotinilação , Mapeamento Cromossômico , Cromossomos Humanos/genética , Neoplasias Colorretais/genética , Simulação por Computador , Enzimas de Restrição do DNA , DNA de Neoplasias/genética , DNA Viral/análise , DNA Viral/genética , Dosagem de Genes , Marcadores Genéticos , Herpesvirus Humano 4/genética , Humanos , Microesferas , Método de Monte Carlo , Sensibilidade e Especificidade , Estreptavidina , Moldes Genéticos , Células Tumorais Cultivadas
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