scholarly journals Ovarian cancer with high-level focal ERBB2 amplification responds to trastuzumab and pertuzumab

2021 ◽  
pp. 100787
Author(s):  
Laure Thouvenin ◽  
Mélinda Charrier ◽  
Sophie Clement ◽  
Yann Christinat ◽  
Jean-Christophe Tille ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
High Level ◽  
Erbb2 Amplification

scholarly journals High expression of fibroblast activation protein (FAP) predicts poor outcome in high-grade serous ovarian cancer

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Min Li ◽  
Xue Cheng ◽  
Rong Rong ◽  
Yan Gao ◽  
Xiuwu Tang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Cox Regression ◽  
Paraffin Section ◽  
Progression Free Survival ◽  
High Grade ◽  
Serous Ovarian Cancer ◽  
Systematic Analysis ◽  
Cox Regression Analysis ◽  
Genes Expression ◽  
High Level

Abstract Background High-grade serous ovarian cancer (HGSOC) is a fatal form of ovarian cancer. Previous studies indicated some potential biomarkers for clinical evaluation of HGSOC prognosis. However, there is a lack of systematic analysis of different expression genes (DEGs) to screen and detect significant biomarkers of HGSOC. Methods TCGA database was conducted to analyze relevant genes expression in HGSOC. Outcomes of candidate genes expression, including overall survival (OS) and progression-free survival (PFS), were calculated by Cox regression analysis for hazard rates (HR). Histopathological investigation of the identified genes was carried out in 151 Chinese HGSOC patients to validate gene expression in different stages of HGSOC. Results Of all 57,331 genes that were analyzed, FAP was identified as the only novel gene that significantly contributed to both OS and PFS of HGSOC. In addition, FAP had a consistent expression profile between carcinoma-paracarcinoma and early-advanced stages of HGSOC. Immunological tests in paraffin section also confirmed that up-regulation of FAP was present in advanced stage HGSOC patients. Prediction of FAP network association suggested that FN1 could be a potential downstream gene which further influenced HGSOC survival. Conclusions High-level expression of FAP was associated with poor prognosis of HGSOC via FN1 pathway.

scholarly journals Management of hereditary ovarian cancer

2011 ◽  
Vol 152 (40) ◽  
pp. 1596-1608 ◽  
Author(s):  
József Gábor Joó ◽  
Szabolcs Ládi ◽  
B. Zsolt Nagy ◽  
Zoltán Langmár
Keyword(s):  
Ovarian Cancer ◽  
Hereditary Ovarian Cancer ◽  
Brca1 And Brca2 ◽  
Ovarian Cancers ◽  
Brca2 Mutations ◽  
Histological Phenotype ◽  
Brca1 Brca2 ◽  
Brca1 And Brca2 Mutations ◽  
High Level ◽  
Associated Tumors

Mutations in BRCA1 and BRCA2 genes account for the majority of hereditary breast and ovarian cancers. Approximately 10% of cases of ovarian cancer are due to germline mutations in BRCA1 and BRCA2. Ovarian cancer associated with BRCA1 and BRCA2 mutations has a distinct histological phenotype. This type of cancer is predominantly of serous or endometrioid histology and is high grade. Patients with BRCA1 or BRCA2 mutations should be offered risk-reducing salpingo-oophorectomy by age 40 years, or when childbearing is complete. Nowadays there are no differences between the treatments provided for sporadic and hereditary ovarian cancer, although there are indications that targeted therapy is effective in women with BRCA1/BRCA2-associated tumors. Retrospective studies reveal a high level of sensitivity to platinum agents in BRCA-associated tumors and initial trials show good efficacy and tolerability for polyADP-ribose polymerase inhibitors in mutation carriers with advanced ovarian cancers. These agents might also potentially be used in chemoprevention. Authors review the current management of hereditary ovarian cancer. Orv. Hetil., 2011, 152, 1596–1608.

DIAGNOSIS OF OVARIAN CANCER AND ACUTE ENDOMETRITIS BY NETWORK MODELING OF CHANGES IN BLOOD FLOW IN THE PELVIC ARTERIES

2021 ◽  
pp. 88-93
Author(s):  
Виталий Вячеславович Аксёнов ◽  
Николай Михайлович Агарков ◽  
Александра Игоревна Сурнина
Keyword(s):  
Ovarian Cancer ◽  
Blood Flow ◽  
Differential Diagnosis ◽  
Network Modeling ◽  
Correct Diagnosis ◽  
Arterial Blood Flow ◽  
Diagnostic Significance ◽  
The Past ◽  
Arterial Blood ◽  
High Level

Заболеваемость раком яичников в России в последнее время остается на высоком уровне. В мире более ста тысяч женщин умирают вследствие протекания данного заболевания. За последнее десятилетие заболеваемость острым эндометритом также неуклонно возрастает. Острый эндометрит обладает полиморфизмом симптомов, лабораторных и ультразвуковых изменений и вследствие этого тяжело поддается диагностике и дифференциальной диагностике. В условиях стационара обследованы 100 пациенток с раком яичников II-III стадии и 90 пациенток с диагнозом острого эндометрита. Им выполнялось ультразвуковое исследование. Полученные результаты подвергались обработке и математико-статистическому анализу, включающему расчёт показателей дезинтеграции, сетевое моделирование, математическое ранжирование. Изучение ультразвуковых изменений кровотока в маточных и яичниковых сосудах и венах у 100 заболевших раком яичников и 90 заболевших острым эндометритом дал возможность выделить ведущие дифференциально-диагностические аспекты. Характеристики дезинтеграции, в одном ряду со средними значениями локального кровотока, объективизируют дифференциацию рака яичников и острого эндометрита. В согласовании с дифференциально-диагностической значимостью ультразвуковых характеристик артериального кровотока в маточных и яичниковых сосудах построена сетевая модель дифференциальной диагностики рака яичников и острого эндометрита по более приоритетным переменам, собственно, что разрешает уменьшить размер и время обследования пациента и постановки верного диагноза The incidence of ovarian cancer in Russia has recently remained at a high level. In the world, more than a hundred thousand women die as a result of the course of this disease. The incidence of acute endometritis has also been steadily increasing over the past decade. Acute endometritis has a polymorphism of symptoms, laboratory and ultrasound changes and, as a result, is difficult to diagnose and differential diagnosis. 100 patients with stage II-III ovarian cancer and 90 patients with acute endometritis were examined in the hospital. They performed an ultrasound examination. The obtained results were processed and subjected to mathematical and statistical analysis, including the calculation of disintegration indicators, network modeling, and mathematical ranking. The study of ultrasound changes in blood flow in the uterine and ovarian vessels and veins in 100 patients with ovarian cancer and 90 patients with acute endometritis made it possible to identify the leading differential diagnostic aspects. The characteristics of disintegration, along with the average values of local blood flow, objectify the differentiation of ovarian cancer and acute endometritis. In accordance with the differential diagnostic significance of the ultrasound characteristics of arterial blood flow in the uterine and ovarian vessels, a network model for the differential diagnosis of ovarian cancer and acute endometritis is constructed according to higher priority changes, which actually allows reducing the size and time of the patient's examination and making the correct diagnosis

scholarly journals The Role of Tumor-Associated Macrophages in the Progression and Chemoresistance of Ovarian Cancer

Cells ◽  
2020 ◽  
Vol 9 (5) ◽  
pp. 1299 ◽  
Author(s):  
Marek Nowak ◽  
Magdalena Klink
Keyword(s):  
Ovarian Cancer ◽  
Cancer Cells ◽  
Immune Cells ◽  
Ovarian Cancer Cells ◽  
High Plasticity ◽  
Tumor Associated Macrophages ◽  
Survival Signaling ◽  
High Level ◽  
Stimulating Factor

Tumor-associated macrophages (TAMs) constitute the main population of immune cells present in the ovarian tumor microenvironment. These cells are characterized by high plasticity and can be easily polarized by colony-stimulating factor-1, which is released by tumor cells, into an immunosuppressive M2-like phenotype. These cells are strongly implicated in both the progression and chemoresistance of ovarian cancer. The main pro-tumoral function of M2-like TAMs is the secretion of a variety of cytokines, chemokines, enzymes and exosomes that reach microRNAs, directly inducing the invasion potential and chemoresistance of ovarian cancer cells by triggering their pro-survival signaling pathways. The M2-like TAMs are also important players in the metastasis of ovarian cancer cells in the peritoneum through their assistance in spheroid formation and attachment of cancer cells to the metastatic area—the omentum. Moreover, TAMs interplay with other immune cells, such as lymphocytes, natural killer cells, and dendritic cells, to inhibit their responsiveness, resulting in the development of immunosuppression. The detrimental character of the M2-like type of TAMs in ovarian tumors has been confirmed by a number of studies, demonstrating the positive correlation between their high level in tumors and low overall survival of patients.

scholarly journals Overexpression of p185 is not related to erbB2 amplification in ovarian cancer

1993 ◽  
Vol 4 (9) ◽  
pp. 775-779 ◽  
Author(s):  
F. Morali ◽  
M. Cattabeni ◽  
E. Tagliabue ◽  
M. Campiglio ◽  
S. Menard ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Erbb2 Amplification

scholarly journals AIM2 Inflammasome in Tumor Cells as a Biomarker for Predicting the Treatment Response to Antiangiogenic Therapy in Epithelial Ovarian Cancer Patients

2021 ◽  
Vol 10 (19) ◽  
pp. 4529
Author(s):  
Po-Chao Hsu ◽  
Tai-Kuang Chao ◽  
Yu-Ching Chou ◽  
Mu-Hsien Yu ◽  
Yu-Chi Wang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Treatment Response ◽  
Antiangiogenic Therapy ◽  
Progression Free Survival ◽  
Mean Value ◽  
Complement Component ◽  
Risk Patients ◽  
High Level ◽  
Serous Papillary Carcinoma

Antiangiogenic therapy, such as bevacizumab (BEV), has improved progression-free survival (PFS) and overall survival (OS) in high-risk patients with epithelial ovarian cancer (EOC) according to several clinical trials. Clinically, no reliable molecular biomarker is available to predict the treatment response to antiangiogenic therapy. Immune-related proteins can indirectly contribute to angiogenesis by regulating stromal cells in the tumor microenvironment. This study was performed to search biomarkers for prediction of the BEV treatment response in EOC patients. We conducted a hospital-based retrospective study from March 2013 to May 2020. Tissues from 78 Taiwanese patients who were newly diagnosed with EOC and peritoneal serous papillary carcinoma (PSPC) and received BEV therapy were collected. We used immunohistochemistry (IHC) staining and analyzed the expression of these putative biomarkers (complement component 3 (C3), complement component 5 (C5), and absent in melanoma 2 (AIM2)) based on the staining area and intensity of the color reaction to predict BEV efficacy in EOC patients. The immunostaining scores of AIM2 were significantly higher in the BEV-resistant group (RG) than in the BEV-sensitive group (SG) (355.5 vs. 297.1, p < 0.001). A high level of AIM2 (mean value > 310) conferred worse PFS after treatment with BEV than a low level of AIM2 (13.58 vs. 19.36 months, adjusted hazard ratio (HR) = 4.44, 95% confidence interval (CI) = 2.01–9.80, p < 0.001). There were no significant differences in C3 (p = 0.077) or C5 (p = 0.326) regarding BEV efficacy. AIM2 inflammasome expression can be a histopathological biomarker to predict the antiangiogenic therapy benefit in EOC patients. The molecular mechanism requires further investigation.

scholarly journals The prognostic values of signal transducers activators of transcription family in ovarian cancer

2017 ◽  
Vol 37 (4) ◽  
Author(s):  
Saisai Li ◽  
Bo Sheng ◽  
Menghuang Zhao ◽  
Qi Shen ◽  
Haiyan Zhu ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Carcinoma ◽  
Cancer Patients ◽  
Tp53 Mutation ◽  
Signal Transducers ◽  
Kaplan Meier ◽  
Poor Differentiation ◽  
Cancer Types ◽  
High Level ◽  
Kaplan Meier Plotter

Signal transducer and activator of transcription (STAT), a family of latent cytoplasmic transcription factors, are composed of seven identified members (STAT1, STAT2, STAT3, STAT4, STAT5a, STAT5b, STAT6). STATs are associated with several biological processes such as cell proliferation, invasion, and metastasis in various cancer types. In addition, the STAT family has been well studied as a prognostic predictor for a considerable number of solid tumors. However, the prognostic value of the STAT family in ovarian cancer patients remains unclear. In our present study, we intend to access the prognostic roles of the STAT family in ovarian carcinoma through the ‘Kaplan–Meier plotter’ (KM plotter) online database, which collected gene expression data and survival information (overall survival (OS)) from a total of 1582 ovarian cancer patients. Our results show that high mRNA expression of STAT1, STAT4, STAT5a, STAT5b, and STAT6, are correlated to a better OS of ovarian cancer patients, especially the high level of STAT1 and STAT4 are significantly related to a favorable OS for serous ovarian cancer patients. We further accessed the prognostic roles of individual STATs in other clinicopathological features, such as pathological grades, clinical stages, and TP53 mutation, and found that these genes indicate a favorable prognosis especially for late stage, poor differentiation, and TP53 mutated ovarian cancer patients. In conclusion, these results suggest that the STAT family plays a significant prognostic role in ovarian carcinoma and individual STATs, except STAT2 and STAT3, may act as favorable prognostic markers in ovarian cancer.

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