scholarly journals Morphological and molecular heterogeneity of epithelial ovarian cancer: Therapeutic implications

2020 ◽  
Vol 15 ◽  
pp. 1-15
Author(s):  
Ignacio Romero ◽  
Susanna Leskelä ◽  
Belén Pérez Mies ◽  
Andrés Poveda Velasco ◽  
José Palacios
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Molecular Heterogeneity ◽  
Therapeutic Implications

scholarly journals Transcriptional Characterization of Stage I Epithelial Ovarian Cancer: A Multicentric Study

Cells ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1554
Author(s):  
Enrica Calura ◽  
Matteo Ciciani ◽  
Andrea Sambugaro ◽  
Lara Paracchini ◽  
Giuseppe Benvenuto ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Stage I ◽  
Molecular Heterogeneity ◽  
Low Grade ◽  
Multicentric Study ◽  
Molecular Alterations ◽  
Molecular Features ◽  
Signaling Axis ◽  
Tumor Biopsies

Stage I epithelial ovarian cancer (EOC) represents about 10% of all EOCs. It is characterized by a complex histopathological and molecular heterogeneity, and it is composed of five main histological subtypes (mucinous, endometrioid, clear cell and high, and low grade serous), which have peculiar genetic, molecular, and clinical characteristics. As it occurs less frequently than advanced-stage EOC, its molecular features have not been thoroughly investigated. In this study, using in silico approaches and gene expression data, on a multicentric cohort composed of 208 snap-frozen tumor biopsies, we explored the subtype-specific molecular alterations that regulate tumor aggressiveness in stage I EOC. We found that single genes rather than pathways are responsible for histotype specificities and that a cAMP-PKA-CREB1 signaling axis seems to play a central role in histotype differentiation. Moreover, our results indicate that immune response seems to be, at least in part, involved in histotype differences, as a higher immune-reactive behavior of serous and mucinous samples was observed with respect to other histotypes.

Natural History of Stage IV Epithelial Ovarian Cancer

1999 ◽  
Vol 17 (3) ◽  
pp. 767-767 ◽  
Author(s):  
H. Bonnefoi ◽  
R. P. A'Hern ◽  
C. Fisher ◽  
V. Macfarlane ◽  
D. Barton ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Overall Survival ◽  
Natural History ◽  
Epithelial Ovarian Cancer ◽  
Median Overall Survival ◽  
Response Rate ◽  
Residual Disease ◽  
Stage Iv ◽  
Therapeutic Implications ◽  
Gynecology And Obstetrics

PURPOSE: In this report we present the natural history, prognostic factors, and therapeutic implications of stage IV epithelial ovarian cancer (EOC). PATIENTS AND METHODS: We reviewed 192 patients with stage IV EOC as defined in 1985 by the International Federation of Gynecology and Obstetrics. RESULTS: The site of stage IV–defining disease was cytologically positive pleural effusion in 63 patients, liver in 50 patients, lymph nodes in 26 patients, lung in six patients, other sites in 15 patients, and disease at multiple stage IV–defining metastatic sites in 32 patients. Surgery was performed before chemotherapy in 169 patients; 25 patients (14.8%) were left with only microscopic residual disease or less than 2 cm of macroscopic residual disease. The overall response rate to chemotherapy was 56%; the complete response rate was 18%. The median progression-free survival was 7.1 months, and the median overall survival was 13.4 months. The median overall survival of patients with positive pleural effusions only was 13.4 months as compared with 10.5 months for patients with visceral disease only, but this difference was not statistically significant. The 5-year survival rate was 7.6%, with only six patients surviving more than 5 years. Univariate and multivariate analysis showed that two parameters were associated with a shorter survival time: visceral involvement (lung or liver) and diagnosis before 1984. CONCLUSION: Patients with stage IV EOC initially respond to chemotherapy as often as those with less advanced disease, but the long-term prognosis is very poor. The size of residual disease is not a prognostic factor in this group of patients, and, therefore, the role of debulking surgery in these patients needs to be reconsidered.

Prognostic, predictive and therapeutic implications of HER2 in invasive epithelial ovarian cancer

2006 ◽  
Vol 32 (3) ◽  
pp. 180-190 ◽  
Author(s):  
Alberto Serrano-Olvera ◽  
Alfonso Dueñas-González ◽  
Dolores Gallardo-Rincón ◽  
Myrna Candelaria ◽  
Jaime De la Garza-Salazar
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Therapeutic Implications ◽  
Invasive Epithelial Ovarian Cancer

GENOMIC AND TRANSCRIPTOME PROFILING OF EPITHELIAL OVARIAN CANCER

2008 ◽  
Vol 31 (4) ◽  
pp. 17
Author(s):  
Rebecca JZ Menzies ◽  
Yury V Bukhman ◽  
Nancy F Ng ◽  
Patricia A Shaw ◽  
Tak W Mak
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Early Stage ◽  
Snp Array ◽  
Ovarian Tumors ◽  
Ca 125 ◽  
Molecular Heterogeneity ◽  
Presenting Symptoms

Background: Epithelial ovarian cancer is the leading cause of death by gynecological malignancy. Due to inadequate screening modalities, a lack of characteristic presenting symptoms, limited treatments and a poor understanding of the molecular underpinnings of the disease, only 25% of ovarian cancers are diagnosed at an early stage. Current 5-year survival rates range from 80%, for disease diagnosed in Stage I to as low as 13% for Stage IV. Current screening for ovarian cancer involves measuring CA-125 levels. However, CA-125 testing has low sensitivity since it can be elevated in a variety of other gynecological diseases. Numerous studies have found molecular heterogeneity between the four histological subtypes of ovarian cancer (serous, endometrioid, clear cell and mucinous). However, treatments remain the same for all subtypes regardless of molecular heterogeneity. Thus, better treatment targets and biomarkers must be found for this disease. Methods:In our study 300 ovarian tumors will be genomically profiled using the Affymetrix Genome-Wide SNP Array 6.0 to identify loci and genes implicated in ovarian cancer. To date, 51 ovarian tumors have been analyzed using the SNP array. Results:Preliminary analysis of copy number variation in these tumors using Partek software has revealed a total of 978 loci. Known amplifications derived from the literature were seen at CCNE1 and ERBB2. Similarly, well known deletions ofp53 and RB1 in ovarian cancer were detected. Novel amplified loci at 18q11.2 and 4q33 were also detected. Novel deletions were detected at 7p13 and 8q22.2. Conclusion: Future work will include running the remaining 249 tumor samples on the SNP array and analyzing the complete dataset using Partek software. Future validation of identified genes in vitro and in vivo may provide insight and possible biomarkers that may be used clinically to benefit the ovarian cancer patient.

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