scholarly journals Uterine involvement in epithelial ovarian cancer and its risk factors

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Narges Zamani ◽  
Azam Sadat Mousavi ◽  
Setare Akhavan ◽  
Shahrzad Sheikhhasani ◽  
Somayeh Nikfar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Uterine Cancer ◽  
Histological Type ◽  
The Other ◽  
Ca 125 ◽  
Study Patient ◽  
P Value ◽  
Ovary Tumor

Abstract Background Epithelial ovarian cancer (EOC) is an extremely aggressive and lethal carcinoma. Specific data that identify high-risk groups with uterine involvement are not available. Thus, this study aimed to evaluate a gross number of women with EOC to obtain the frequency of uterine involvement and its risk factors. Methods This retrospective observational study was conducted on 1900 histologically confirmed EOC women, diagnosed and treated in our tertiary hospital from March 2009 to September 2020. Data including their demographic, medical and pathological findings were collected. Results From 1900 histologically confirmed EOC women, 347 patients were eligible for participations. The mean age of study patients was 51.31 ± 11.37 years with the age range of 25 to 87 years. Uterine involvement was detected in 49.6% (173) of the patients either macroscopic (47.4%) or microscopic (52.6%) types. Uterine involvement was significantly associated with having AUB (P-value = 0.002), histological type of ovary tumor (P-value < 0.001), ovarian cancer stage (P-value < 0.001), and abnormal CA-125 concentration (P-value = 0.004). Compared to the other study patient, the patients with metastatic uterine involvement had significantly higher stage (p-value< 0.001), higher grade of ovary tumor (p-value = 0.008), serous histological type (p-value< 0.001), and a higher level of CA-125 concentration (p-value< 0.001). on the other hand, the patients with synchronous uterine cancer were significantly younger (p-value = 0.013), nulliparous (p-value< 0.001), suffered from AUB symptoms (p-value< 0.001) and had endometroid histological type (p-value = 0.010) of ovary cancer in comparison to other study patients. Conclusion Considering the high prevalence of uterine involvement in EOC patients, ultrasound evaluation and/or endometrium biopsy assessment should be done before planning any treatment.

Evaluation of Risk Factors for Venous Thromboembolism in Chinese Women With Epithelial Ovarian Cancer

2013 ◽  
Vol 23 (1) ◽  
pp. 65-72 ◽  
Author(s):  
Xiangxiang Wu ◽  
Xiang Xue ◽  
Jie Tang ◽  
Xi Cheng ◽  
Wenjuan Tian ◽  
...  
Keyword(s):  
Risk Factors ◽  
Ovarian Cancer ◽  
Venous Thromboembolism ◽  
Epithelial Ovarian Cancer ◽  
Chinese Women ◽  
Cell Counting ◽  
Chinese Patients ◽  
Ca 125 ◽  
Potential Risk Factors ◽  
D Dimer

ObjectiveVenous thromboembolism (VTE) is a life-threatening complication that often occurs in ovarian tumors. However, the risk factors for VTE are still undetermined.MethodsWe retrospectively analyzed VTE occurrence and its potential risk factors in 254 Chinese patients with ovarian tumor at Fudan University Cancer Hospital from July 2007 to June 2011.ResultsThe VTE incidence was 7.1% (13/183) in epithelial ovarian cancer (EOC), and no VTE was found in ovarian borderline or benign tumor. D-dimer levels were significantly higher in EOC than in ovarian benign and borderline tumors. Furthermore, D-dimer levels increased with the advancement of EOC stages. Correlation analysis suggested that D-dimer levels were well correlated with platelet counting (PLT), prothrombin time (PT), white blood cell counting (WBC), cancer antigen (CA) 125, and CA153. Univariate logistic regression analysis found that D-dimer levels greater than 788 μg/L, PLT levels greater than 261 × 109/L, PT greater than 11.7 seconds, CA125 greater than 760 U/mL, and ascites greater than 1500 mL are risk factors for VTE in EOC. Moreover, multivariate analysis grouped primary EOC, low differentiated grade, D-dimer greater than 788 μg/L, PT greater than 11.7 seconds, and CA125 greater than 760 U/mL as prediction factors for VTE.ConclusionsIn addition to D-dimer and ascites, high levels of PLT, PT, and CA125, which are highly correlated with D-dimer, are independent risk factors for VTE

scholarly journals Morphological Index of Sassone for Predicting Serous Type of Epithelial Ovarium Cancer

2020 ◽  
pp. 186-191
Author(s):  
Rachmad Rachmad ◽  
Mohd Andalas ◽  
Cut M. Yeni ◽  
Nurhayani D. Susanti ◽  
Reno K. Kamarlis
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Diagnostic Test ◽  
Sensitivity And Specificity ◽  
Tumour Marker ◽  
Ca 125 ◽  
P Value ◽  
Cross Sectional ◽  
Morphological Index ◽  
Cross Sectional Design

Objective:  To obtain whether there was a correlation between the Sassone morphological index and CA 125 tumour markers for suspecting epithelial ovarian cancer with serous types.Methods: This research was analysis correlation and diagnostic test using cross-sectional design. This study was conducted in Dr. Zainoel Abidin Hospital, from November 2018 until April 2019. Results: There were 30 samples of patients with suspected malignant ovarian tumours. The Mann-Whitney test has been performed and the results show no relationship between the Sassone morphological index and epithelial ovarian cancer with serous type (p-value 0.627) and there was no correlation between CA 125 tumour marker and epithelial ovarian cancer with serous types (p-value 0.251). The diagnostic test was performed to examine the sensitivity and specificity for the Sassone morphological index in epithelial ovarian cancer with serous type, resulting in 60% and 28%, respectively. In this study, the sensitivity and specificity for CA 125 tumour marker in epithelial ovarian cancer with serous type were 80% and 40%, respectively. Conclusion:  There was no correlation between the Sassone morphological index and CA 125 tumour marker for suspecting epithelial ovarian cancer with serous types. Keywords:  CA 125 tumour marker, 0 epithelial ovarian cancer with serous types, morphological index of Sassone.   Abstrak Tujuan: Untuk mengetahui adakah korelasi antara indeks morfologi Sassone dan penanda tumor CA 125 dalam memprediksi kanker ovarium epitelial tipe serous. Metode: Penelitian ini menggunakan rancangan potong lintang dengan melakukan uji korelasi dan diagnostik.Penelitian dilakukandi RSUD Dr. Zainoel abidin, dalam kurun waktu November 2018 sampai dengan April 2019.Hasil : Selama penelitian didapatkan 30 sampel penderita tumor ovarium suspek ganas. Dilakukan analisis dengan uji Mann-Whitney, didapatkan tidak terdapat hubungan antara indeks morfologi Sassone terhadap kanker ovarium epitelial tipe serous (p-value 0,627) dan tidak terdapat hubungan antara penanda tumor CA 125 terhadap kanker ovarium epitelial tipe serous (p-value 0,251). Kemudian dilakukan uji diagnostik dimana didapatkan nilai sensitivitas, spesifisitas dari indeks morfologi Sassone pada kanker ovarium epitelial tipe serous adalah 60% dan 28%. Sedangkan nilai sensitivitas dan spesifisitas penada tumor CA 125 pada kanker ovarium epitelial tipe serous pada penelitian ini didapatkan 80% dan 40%.Kesimpulan: Tidak ada hubungan antara indeks morfologi Sassone dan penanda tumor CA 125 dalam memprediksi kanker ovarium epitelial tipe serous.Kata kunci: indeks morfologi Sassone, kanker ovarium epitelial tipe serous, penanda tumor CA 125

scholarly journals Investigation on factors associated with ovarian cancer: an umbrella review of systematic review and meta-analyses

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Kiarash Tanha ◽  
Azadeh Mottaghi ◽  
Marzieh Nojomi ◽  
Marzieh Moradi ◽  
Rezvan Rajabzadeh ◽  
...  
Keyword(s):  
Risk Factors ◽  
Systematic Review ◽  
Ovarian Cancer ◽  
Systematic Reviews ◽  
Meta Analysis ◽  
Uterine Cancer ◽  
Cochrane Library ◽  
P Value ◽  
Prevention Measures ◽  
Coffee Intake

AbstractFollowing cervical and uterine cancer, ovarian cancer (OC) has the third rank in gynecologic cancers. It often remains non-diagnosed until it spreads throughout the pelvis and abdomen. Identification of the most effective risk factors can help take prevention measures concerning OC. Therefore, the presented review aims to summarize the available studies on OC risk factors. A comprehensive systematic literature search was performed to identify all published systematic reviews and meta-analysis on associated factors with ovarian cancer. Web of Science, Cochrane Library databases, and Google Scholar were searched up to 17th January 2020. This study was performed according to Smith et al. methodology for conducting a systematic review of systematic reviews. Twenty-eight thousand sixty-two papers were initially retrieved from the electronic databases, among which 20,104 studies were screened. Two hundred seventy-seven articles met our inclusion criteria, 226 of which included in the meta-analysis. Most commonly reported genetic factors were MTHFR C677T (OR=1.077; 95 % CI (1.032, 1.124); P-value<0.001), BSML rs1544410 (OR=1.078; 95 %CI (1.024, 1.153); P-value=0.004), and Fokl rs2228570 (OR=1.123; 95 % CI (1.089, 1.157); P-value<0.001), which were significantly associated with increasing risk of ovarian cancer. Among the other factors, coffee intake (OR=1.106; 95 % CI (1.009, 1.211); P-value=0.030), hormone therapy (RR=1.057; 95 % CI (1.030, 1.400); P-value<0.001), hysterectomy (OR=0.863; 95 % CI (0.745, 0.999); P-value=0.049), and breast feeding (OR=0.719, 95 % CI (0.679, 0.762) and P-value<0.001) were mostly reported in studies. Among nutritional factors, coffee, egg, and fat intake significantly increase the risk of ovarian cancer. Estrogen, estrogen-progesterone, and overall hormone therapies also are related to the higher incidence of ovarian cancer. Some diseases, such as diabetes, endometriosis, and polycystic ovarian syndrome, as well as several genetic polymorphisms, cause a significant increase in ovarian cancer occurrence. Moreover, other factors, for instance, obesity, overweight, smoking, and perineal talc use, significantly increase the risk of ovarian cancer.

ESGO Statement on the Role of CA‐125 Measurement in Follow-Up of Epithelial Ovarian Cancer

2012 ◽  
Vol 22 (1) ◽  
pp. 175-175 ◽  
Author(s):  
Nicoletta Colombo ◽  
Gerald Gitsch ◽  
Nicolas Reed ◽  
Frederic Amant ◽  
David Cibula ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Ca 125

scholarly journals Development and Validation for Prognostic Nomogram of Epithelial Ovarian Cancer Recurrence based on Circulating Tumor Cells and Epithelial–Mesenchymal Transition

2020 ◽  
Author(s):  
Jiani Yang ◽  
Jun Ma ◽  
Yue Jin ◽  
Shanshan Cheng ◽  
Shan Huang ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Risk Stratification ◽  
Epithelial Ovarian Cancer ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Epithelial Mesenchymal Transition ◽  
Ca 125 ◽  
Mesenchymal Transition ◽  
Cox Regression Analysis ◽  
Significant Difference

Abstract We aimed to determine prognosis value of circulating tumor cells(CTCs) undergoing epithelial–mesenchymal transition(EMT) in epithelial ovarian cancer(EOC) recurrence. We used CanPatrol CTC-enrichment technique to detect CTCs from blood samples and classify subpopulations into epithelial, mesenchymal and hybrids. To construct nomogram, prognostic factors were selected by Cox regression analysis. Risk stratification was performed through Kaplan–Meier analysis among training group(n=114) and validation group(n=38). By regression screening, both CTC counts(HR 1.187; 95%CI 1.098-1.752; p=0.012) and M-CTC(HR 1.098; 95%CI 1.047-1.320; p=0.009) were demonstrated as independent factors for recurrence. Other variables including pathological grade, FIGO stage, lymph node metastasis, ascites and CA-125 were also collected(p < 0.005) to construct nomogram. The C-index of internal and external validation for nomogram was 0.913 and 0.874. We found significant predictive value for nomogram with/without CTCs (AUC 0.8705 and 0.8097). Taking CTC counts and M-CTC into separation, the values were 0.8075 and 0.8262. Finally, survival curves of risk stratification based on CTC counts(p=0.0241), M-CTC(p=0.0107) and the nomogram(p=0.0021) were drawn with significant difference. In conclusion, CTCs could serve as a novel factor for EOC prognosis. Nomogram model constructed by CTCs and other clinical parameters could predict EOC recurrence and perform risk stratification for clinical decision-making.Trial registration: Chinese Clinical Trial Registry, ChiCTR-DDD-16009601, October 25, 2016

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