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1.
Gynecol Oncol ; 163(2): 320-326, 2021 11.
Artículo en Inglés | MEDLINE | ID: mdl-34538531

RESUMEN

OBJECTIVES: Evaluate association between obesity and angiogenic-related gene expression in endometrial cancer (EC). Evaluate interaction between diet and metformin on angiogenic-related gene expression. METHODS: We evaluated the association between 168 human angiogenic-related genes and body mass index (BMI) in the TCGA Uterine Corpus Endometrial Carcinoma cohort (endometrioid endometrial cancer (EEC) cohort n = 290, and copy number high cohort n = 55), an independent validation cohort from Gynecologic Cancer Center of Excellence (GYN-COE) (n = 62) and corresponding 185 homologous mouse genes in an LKB1fl/flp53fl/fl mouse model of EC (n = 20). Mice received 60% of calories from fat in a high-fat diet (HFD), mimicking diet-induced obesity, versus 10% of calories from fat in a low-fat diet (LFD). After tumor growth, HFD (n = 5) and LFD (n = 5) mice were treated with metformin (200 mg/kg/day) or control. Whole transcriptome analysis of mouse tumors was performed using RNA-Seq. RESULTS: At a false-discovery rate of 10%, twenty-one angiogenic-related genes were differentially expressed with respect to BMI when adjusting for grade in the TCGA EEC cohort. Evaluation of these genes in the mouse model control group revealed association between increased Edil3 expression in HFD versus LFD mice (2.5-fold change (FC); unadjusted p = 0.03). An interaction was observed for expression of Edil3 between diet and metformin treatment (unadjusted p = 0.009). Association between BMI and increased expression of EDIL3 was validated in one of four EDIL3 probesets in the GYN-COE cohort (p = 0.0011, adjusted p = 0.0342). CONCLUSIONS: Obesity may promote tumor progression via differential modulation of angiogenic pathways in EEC. Our exploratory findings demonstrated that EDIL3 may be a candidate gene of interest.


Asunto(s)
Proteínas de Unión al Calcio/genética , Moléculas de Adhesión Celular/genética , Neoplasias Endometriales/genética , Neovascularización Fisiológica/genética , Obesidad/complicaciones , Proteínas Quinasas Activadas por AMP/genética , Animales , Índice de Masa Corporal , Conjuntos de Datos como Asunto , Dieta Alta en Grasa/efectos adversos , Modelos Animales de Enfermedad , Progresión de la Enfermedad , Neoplasias Endometriales/patología , Femenino , Regulación Neoplásica de la Expresión Génica/efectos de los fármacos , Humanos , Metformina/administración & dosificación , Ratones Transgénicos , Neovascularización Fisiológica/efectos de los fármacos , Obesidad/genética , RNA-Seq , Proteína p53 Supresora de Tumor/genética
2.
Gynecol Oncol ; 156(3): 662-668, 2020 03.
Artículo en Inglés | MEDLINE | ID: mdl-31918995

RESUMEN

OBJECTIVE: To identify novel immunologic targets and biomarkers associated with overall survival (OS) in high-grade serous ovarian cancer (HGSC). METHODS: In this retrospective study, microarray data from 51 HGSC specimens were analyzed (Affymetrix HG-U133A). A panel of 183 immune/inflammatory response related genes linked to 279 probe sets was constructed a priori and screened. Associations between gene expression and OS were assessed using logrank tests. Multiple testing was addressed within the False Discovery Rate (FDR) framework. For external validation, TCGA Ovarian dataset and five GSE publicly available HGSC datasets were evaluated. RESULTS: In Duke data, 110 probe sets linked to 83 immunologic/inflammatory-related genes were differentially expressed in tumors from long versus short-term HGSC survivors (adjusted p < 0.05). In TCGA, concordant with the results from the Duke discovery cohort, high expression of one probe (IL6R) demonstrated a consistent significance and concordant association with higher expression in long-term HGSC survivors (Duke q-value = 0.022) and improved OS in the TCGA dataset (p-value = 0.015, HR = 0.8). Thirteen genes in GSE14764 (N = 4) and GSE26712 (N = 9) datasets had significant p-values and consistent concordant with Duke Data. Despite the significant associations of gene expression and OS in the individual GSE datasets, in the GSE meta-analysis no genes were consistently concordant and significantly associated with survival. CONCLUSIONS: Evaluation of IL6R expression may be warranted based on higher expression in long-term survivors and association with improved survival in advanced HGSC. The other candidate genes may also be of worthy of further exploration to enhance immuno-oncology drug discovery.


Asunto(s)
Cistadenocarcinoma Seroso/genética , Cistadenocarcinoma Seroso/inmunología , Neoplasias Ováricas/genética , Neoplasias Ováricas/inmunología , Protocolos de Quimioterapia Combinada Antineoplásica/uso terapéutico , Biomarcadores de Tumor/genética , Carcinoma Epitelial de Ovario/tratamiento farmacológico , Carcinoma Epitelial de Ovario/genética , Carcinoma Epitelial de Ovario/inmunología , Carcinoma Epitelial de Ovario/cirugía , Cistadenocarcinoma Seroso/tratamiento farmacológico , Cistadenocarcinoma Seroso/cirugía , Bases de Datos Genéticas , Femenino , Expresión Génica , Humanos , Persona de Mediana Edad , Clasificación del Tumor , Análisis de Secuencia por Matrices de Oligonucleótidos , Neoplasias Ováricas/tratamiento farmacológico , Neoplasias Ováricas/cirugía , Receptores de Interleucina-6/biosíntesis , Receptores de Interleucina-6/genética , Receptores de Interleucina-6/inmunología , Estudios Retrospectivos
3.
Artículo en Inglés | MEDLINE | ID: mdl-27231561

RESUMEN

Traditionally, epithelial ovarian, tubal, and peritoneal cancers have been viewed as separate entities with disparate origins, pathogenesis, clinical features, and outcomes. Additionally, previous classification systems for ovarian cancer have proposed two primary histologic groups that encompass the standard histologic subtypes. Recent data suggest that these groupings no longer accurately reflect our knowledge surrounding these cancers. In this review, we propose that epithelial ovarian, tubal, and peritoneal carcinomas represent a spectrum of disease that originates in the Mullerian compartment. We will discuss the incidence, classification, origin, molecular determinants, and pathologic analysis of these cancers that support the conclusion they should be collectively referred to as adenocarcinomas of Mullerian origin. As our understanding of the molecular and pathologic profiling of adenocarcinomas of Mullerian origin advances, we anticipate treatment paradigms will shift towards genomic driven therapeutic interventions.

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