scholarly journals Molecular Profiling and Clinical Outcome of High-Grade Serous Ovarian Cancer Presenting with Low- versus High-Volume Ascites

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Tomer Feigenberg ◽  
Blaise Clarke ◽  
Carl Virtanen ◽  
Anna Plotkin ◽  
Michelle Letarte ◽  
...  

Epithelial ovarian cancer consists of multiple histotypes differing in etiology and clinical course. The most prevalent histotype is high-grade serous ovarian cancer (HGSOC), which often presents at an advanced stage frequently accompanied with high-volume ascites. While some studies suggest that ascites is associated with poor clinical outcome, most reports have not differentiated between histological subtypes or tumor grade. We compared genome-wide gene expression profiles from a discovery cohort of ten patients diagnosed with stages III-IV HGSOC with high-volume ascites and nine patients with low-volume ascites. An upregulation of immune response genes was detected in tumors from patients presenting with low-volume ascites relative to those with high-volume ascites. Immunohistochemical studies performed on tissue microarrays confirmed higher expression of proteins encoded by immune response genes and increased tumorinfiltrating cells in tumors associated with low-volume ascites. Comparison of 149 advanced-stage HGSOC cases with differential ascites volume at time of primary surgery indicated low-volume ascites correlated with better surgical outcome and longer overall survival. These findings suggest that advanced stage HGSOC presenting with low-volume ascites reflects a unique subgroup of HGSOC, which is associated with upregulation of immune related genes, more abundant tumor infiltrating cells and better clinical outcomes.

2019 ◽  
Vol 29 (5) ◽  
pp. 922-928
Author(s):  
Ingrid Lai ◽  
Maria N Daniel ◽  
Barry P Rosen ◽  
Taymaa May ◽  
Christine Massey ◽  
...  

ObjectiveHigh-grade serous ovarian cancer accounts for a disproportionate number of deaths from gynecologic malignancies. It typically presents at an advanced stage and with a high volume of ascites a common presenting feature. The aims of this study is to evaluate the association between ascites volume at the time of primary surgery for advanced stage ovarian cancer with surgical outcomes and patterns of recurrence.MethodsA retrospective review of stage III/IV high-grade serous ovarian cancer patients who underwent primary surgery at two centers between March 2003 to June 2016. Patients were categorized as low-volume ascites (≤ 200 mL) vs high-volume (≥ 1 L). Patients with an unknown volume of ascites or neoadjuvant chemotherapy were excluded. Patients' characteristics were compared for the two groups. Probability of recurrence over time and the HR from a proportional hazards model for sub-distribution were calculated.ResultsA total of 210 patients were included, 90 (42.9%) patients in the low-volume and 120 (57.1%) patients in the high-volume group. Patients in the low-volume group were older with a median age of 60.2 years vs 56.8 years in the high-volume group and had lower serum CA-125 levels (mean 223 vs 971.5 U/mL). The low-volume group had better surgical outcome with suboptimal debulking (> 1 cm residual disease) in only 17.8 % vs 39.2 % in the high-volume group and had longer median time to recurrence (2.8 years in low-volume vs 1.6 years high-volume group). At the time of recurrence, the low-volume group had a less disseminated pattern of recurrence, lower rates of ascites (20 % in the low-volume group vs 37.2 % in the high-volume group), and a trend toward lower serum CA125 levels (mean 352.8 vs 596.9 U/mL).ConclusionsAdvanced stage serous ovarian cancer patients who present with low-volume ascites have lower serum CA125 levels, more optimal cytoreduction rates, and longer disease-free interval. The low-volume group had less ascites, less disseminated disease, and a trend toward lower serum CA125 levels at the time of recurrence.


2016 ◽  
Vol 27 ◽  
pp. viii8
Author(s):  
M. Garziera ◽  
E. Cecchin ◽  
M. Montico ◽  
R. Roncato ◽  
S. Gagno ◽  
...  

2020 ◽  
Vol 7 (6) ◽  
pp. 1805094
Author(s):  
Maria Bååth ◽  
Sofia Westbom-Fremer ◽  
Laura Martin de la Fuente ◽  
Anna Ebbesson ◽  
Juliette Davis ◽  
...  

2016 ◽  
Vol 26 (4) ◽  
pp. 671-679 ◽  
Author(s):  
Hans-Christian Bösmüller ◽  
Philipp Wagner ◽  
Janet Kerstin Peper ◽  
Heiko Schuster ◽  
Deborah Lam Pham ◽  
...  

ObjectiveIncreased numbers of tumor-infiltrating lymphocytes (TILs) in high-grade serous ovarian cancer (HGSC) are associated with improved clinical outcome. Intraepithelial localization of TILs might be regulated by specific homing receptors, such as CD103, which is widely expressed by intraepithelial lymphocytes. Given the emerging role of CD103+ TILs, we aimed to assess their contribution to the prognostic value of immunoscoring in HGSC.MethodsThe density of intratumoral CD3+ and CD103+ lymphocytes was examined by immunohistochemistry on a tissue microarray of a series of 135 patients with advanced HGSC and correlated with CD4+, CD8+, CD56+, FoxP3+, and TCRγ+ T-cell counts, as well as E-cadherin staining and conventional prognostic parameters and clinical outcome.ResultsBoth the presence of CD103+ cells, as well as high numbers of intraepithelial CD3+ lymphocytes (CD3E), showed a significant correlation with overall survival, in the complete series, as well as in patients with optimal debulking and/or platinum sensitivity. Combining CD3 and CD103 counts improved prognostication and identified 3 major subgroups with respect to overall survival. The most pronounced effect was demonstrated for patients with optimally resected and platinum-sensitive tumors. Patients with CD3high/CD103high tumors showed a 5-year survival rate at 90%, CD3low/CD103high at 63%, and CD3low/CD103low at 0% (P < 0.001).ConclusionsThese results suggest that combined assessment of CD103 and CD3 counts improves the prognostic value of TIL counts in HGSC and might identify patients with early relapse or long-term survival based on the type and extent of the immune response.


2020 ◽  
Vol 37 (12) ◽  
pp. 5023-5031
Author(s):  
Isabelle Magalhaes ◽  
Josefin Fernebro ◽  
Sulaf Abd Own ◽  
Daria Glaessgen ◽  
Sara Corvigno ◽  
...  

2013 ◽  
Vol 19 (4) ◽  
pp. 809-820 ◽  
Author(s):  
Tarrik M. Zaid ◽  
Tsz-Lun Yeung ◽  
Melissa S. Thompson ◽  
Cecilia S. Leung ◽  
Tom Harding ◽  
...  

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e17091-e17091
Author(s):  
Elena Ioana Braicu ◽  
Hagen Kulbe ◽  
Felix Dreher ◽  
Eliane T Taube ◽  
Frauke Ringel ◽  
...  

e17091 Background: Previously four molecular subtypes of high grade serous ovarian cancer (HGSOC) with distinct biological features and clinical outcome have been described: C1 (mesenchymal), C2 (immunoreactive), C4 (differentiated), and C5 (proliferative). Using Nanostring technique and a minimal signature of 39 classifier genes could reproduce the subtypes identified by microarray gene expression profiling (Leong HS et al. Australian Ovarian Cancer Study. J Pathol. 2015). Methods: We characterized paraffin embedded tissue samples from 279 HGSOC patients for molecular subtypes, utilizing the 39 classifier signature and 9 control genes by Nanostring nCounter Analysis System. From 16 patients paired primary and relapsed samples were available. Only chemonaive primary HGSOC patients were included in the study. FFPEs and clinical data were provided by TOC ( www.toc-network.de ). For each sample, probability scores for the four molecular subtypes (C1, C2, C4, and C5) were calculated. The highest calculated score determined the most likely subtype of the tumor. Results: Of all analyzed primary tumor samples, 88 (31.5%) were classified as C1, 83 (29.8%), 53 (19.0%) and 55 (19.7%) as subtypes C2, C4 and C5, respectively. Our results confirmed data by the AOCS study, which described the distribution of HGSOC with 40.2% (C1), 22.5% (C2), 20.1% (C4) and 17.2% (C5), respectively. Within the paired samples, for 12 of the 16 patients dynamic changes in the molecular subtypes between primary and relapse occurred, while in the remaining 4 patients the phenotype was stable. Conclusions: Molecular subtypes of HGSOC using Nanostring technology with a small panel of classifier genes can be confirmed. Furthermore, the data showed that a change of the established molecular subtype might occur during the evolution of the disease, and therefore translate in a different clinical outcome.


2020 ◽  
Author(s):  
Shahan Mamoor

Ovarian cancer is the most lethal gynecologic cancer (1). We sought to identify genes associated with high-grade serous ovarian cancer (HGSC) by comparing global gene expression profiles of normal ovary with that of primary tumors from women diagnosed with HGSC using published microarray data (2,3). We previously identified forkhead box L2 (4), (FOXL2) as among the genes whose expression was most different in HGSC ovarian tumors when compared to the ovary. Here, we find that potential FOXL2 transcriptional target (5,6) odd-skipped related gene OSR2 (7) is differentially expressed in high-grade serous ovarian cancer, and could be observed in independent tumor microarray data (2,3). These data reveal perturbed expression of a target gene of a key transcription factor and specifier of ovarian cell fate in high-grade serous ovarian cancers.


2020 ◽  
Author(s):  
Shahan Mamoor

High-grade serous ovarian cancer (HGSC) is the most common type of the most lethal gynecologic malignancy (1). To identify genes whose expression was associated with survival outcomes in HGSC, we used published data from patients enrolled in the ICON7 trial to compare the global gene expression profiles of primary HGSC tumors from women with the best and worst progression-free survival (PFS) (2). We found that the Frizzled class 7 (Fzd7) receptor was among the genes most differentially expressed in HGSC tumors when comparing tumor transcriptomes based on superior or inferior PFS. In two independent datasets, Fzd7 was among the genes most differentially expressed in HGSC tumors when comparing primary tumor to the normal ovary (3, 4). Wnt pathway signaling through Fzd7 may be relevant to the biology of high-grade serous ovarian cancers.


2019 ◽  
Author(s):  
I Aluloski ◽  
M Tanturovski ◽  
S Kostadinova-Kunovska ◽  
R Jovanovic ◽  
G Petrusevska

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