The Role of Cyclin E and Its Lower Molecular Forms in the Oncogenesis of Ovarian Cancer and Its Predictive Value in Patients with Early Stage Ovarian Tumor

2005 ◽  
Author(s):  
Khandan Keyomarsi
Keyword(s):  
Ovarian Cancer ◽  
Predictive Value ◽  
Ovarian Tumor ◽  
Early Stage ◽  
Cyclin E ◽  
Molecular Forms

ROLE OF LIPID PROFILE IN OVARIAN CARCINOMA PATIENTS

2019 ◽  
Vol 3 (8) ◽  
Author(s):  
Dr. Manisha ◽  
Dr. Ruchi Jindal
Keyword(s):  
Ovarian Cancer ◽  
Lipid Profile ◽  
Cancer Patients ◽  
Ovarian Tumor ◽  
Ovarian Cancer Risk ◽  
Low Level ◽  
Medical College ◽  
Group I ◽  
History Of

Background: The term "ovarian cancer" includes several different types of cancer that  arise from cells of the ovary, most commonly, tumors arise from the epithelium or lining cells of the ovary.  Ovarian cancer risk is positively associated with higher consumption of dietary cholesterol and eggs, and inversely associated with a higher intake of vegetables. High consumption of fats may increase circulating estrogen levels, thus increasing the possibility of cell damage and proliferation that is responsible for cancerous growth. Material & Methods: The present study was conducted at Geetanjali Medical College and Hospital, Udaipur (Rajasthan). Total  100 cases (females) attending the obstetrics and gynecology department for some gynecological and other problem  were selected for this study between the age of 40-60 years, who were attending cancer centre at GEETANJALI MEDICAL COLLEGE AND  HOSPITAL, Udaipur (Rajasthan).                GROUP I: - It consisted of healthy females control subjects (n=50) .By routine examination and tests, we ensured that all the subjects were healthy and there were no signs and symptoms or history of ovarian tumor and diseases GROUP II: - It consisted of ovarian cancer females subjects (n=50) with a history of ovarian tumor. Results:   Higher level of cholesterol, LDL, VLDL and low level of HDL are found in ovarian cancer patients. Conclusion: The present study we highlights the importance and role of serum lipid profile in diagnosis, prognosis and recurrence of the disease. The study shows that serum level of cholesterol, LDL, VLDL was elevated in  patients of ovarian cancer while low level of HDL are found in ovarian cancer patients. Key words: lipid profile, ovarian cancer.

scholarly journals Automated Assay of a Four-Protein Biomarker Panel for Improved Detection of Ovarian Cancer

Cancers ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 325
Author(s):  
Christopher Walker ◽  
Tuan-Minh Nguyen ◽  
Shlomit Jessel ◽  
Ayesha B. Alvero ◽  
Dan-Arin Silasi ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Early Detection ◽  
Predictive Value ◽  
Early Stage ◽  
Ca 125 ◽  
Healthy Controls ◽  
Classification Models ◽  
Serum Samples ◽  
Protein Biomarker ◽  
Biomarker Panel

Background: Mortality from ovarian cancer remains high due to the lack of methods for early detection. The difficulty lies in the low prevalence of the disease necessitating a significantly high specificity and positive-predictive value (PPV) to avoid unneeded and invasive intervention. Currently, cancer antigen- 125 (CA-125) is the most commonly used biomarker for the early detection of ovarian cancer. In this study we determine the value of combining macrophage migration inhibitory factor (MIF), osteopontin (OPN), and prolactin (PROL) with CA-125 in the detection of ovarian cancer serum samples from healthy controls. Materials and Methods: A total of 432 serum samples were included in this study. 153 samples were from ovarian cancer patients and 279 samples were from age-matched healthy controls. The four proteins were quantified using a fully automated, multi-analyte immunoassay. The serum samples were divided into training and testing datasets and analyzed using four classification models to calculate accuracy, sensitivity, specificity, PPV, negative predictive value (NPV), and area under the receiver operating characteristic curve (AUC). Results: The four-protein biomarker panel yielded an average accuracy of 91% compared to 85% using CA-125 alone across four classification models (p = 3.224 × 10−9). Further, in our cohort, the four-protein biomarker panel demonstrated a higher sensitivity (median of 76%), specificity (median of 98%), PPV (median of 91.5%), and NPV (median of 92%), compared to CA-125 alone. The performance of the four-protein biomarker remained better than CA-125 alone even in experiments comparing early stage (Stage I and Stage II) ovarian cancer to healthy controls. Conclusions: Combining MIF, OPN, PROL, and CA-125 can better differentiate ovarian cancer from healthy controls compared to CA-125 alone.

Immune cells of the epithelial ovarian cancer microenvironment

2021 ◽  
pp. 67-78
Author(s):  
Varvara Nikolaevna Zhurman ◽  
Natalia Gennadevna Plekhova ◽  
Ekaterina Valeryevna Eliseeva
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Immune Cells ◽  
Ovarian Tumor ◽  
Biologically Active ◽  
Cancer Microenvironment ◽  
Review Of The Literature ◽  
Prognostic Role ◽  
Active Substances

The article is a review of the literature, which analyzes the data on the role of cells of the immune system, cytokines and other biologically active substances secreted by them in the interstitial space of an ovarian tumor. The emphasis is made on the mechanism of realization by immune cells of the stimulating and suppressing action on the development of the tumor. Considerable attention is paid to the prognostic role of immune cells in the development of epithelial ovarian cancer.

scholarly journals The Role of MicroRNAs in Ovarian Cancer

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Yasuto Kinose ◽  
Kenjiro Sawada ◽  
Koji Nakamura ◽  
Tadashi Kimura
Keyword(s):  
Ovarian Cancer ◽  
Tumor Suppressor Genes ◽  
Target Genes ◽  
Early Stage ◽  
Noncoding Rnas ◽  
Circulating Micrornas ◽  
Gynecological Tumors ◽  
Prevention And Treatment ◽  
Prognostic And Predictive Markers

Ovarian cancer is the most lethal of malignant gynecological tumors. Its lethality may be due to difficulties in detecting it at an early stage and lack of effective treatments for patients with an advanced or recurrent status. Therefore, there is a strong need for prognostic and predictive markers to diagnose it early and to help optimize and personalize treatment. MicroRNAs are noncoding RNAs that regulate target genes posttranscriptionally. They are involved in carcinogenesis, cell cycle, apoptosis, proliferation, invasion, metastasis, and chemoresistance. The dysregulation of microRNAs is involved in the initiation and progression of human cancers including ovarian cancer, and strong evidence that microRNAs can act as oncogenes or tumor suppressor genes has emerged. Several microRNA signatures that are unique to ovarian cancer have been proposed, and serum-circulating microRNAs have the potential to be useful diagnostic and prognostic biomarkers. Various microRNAs such as those in the miR-200 family, the miR-199/214 cluster, or the let-7 paralogs have potential as therapeutic targets for disseminated or chemoresistant ovarian tumors. Although many obstacles need to be overcome, microRNA therapy could be a powerful tool for ovarian cancer prevention and treatment. In this review, we discuss the emerging roles of microRNAs in various aspects of ovarian cancer.

Early stage epithelial ovarian cancer (EOC): Role of conservative surgery

2005 ◽  
Vol 23 (16_suppl) ◽  
pp. 5149-5149
Author(s):  
L. Kumar ◽  
R. Hariprasad ◽  
S. Kumar ◽  
R. Dawar
Keyword(s):  
Ovarian Cancer ◽  
Epithelial Ovarian Cancer ◽  
Early Stage ◽  
Conservative Surgery

Human Kallikrein 13 Protein in Ovarian Cancer Cytosols: A New Favorable Prognostic Marker

2004 ◽  
Vol 22 (4) ◽  
pp. 678-685 ◽  
Author(s):  
Andreas Scorilas ◽  
Carla A. Borgoño ◽  
Nadia Harbeck ◽  
Julia Dorn ◽  
Barbara Schmalfeldt ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Ovarian Tumor ◽  
Cox Regression ◽  
Early Stage ◽  
Mrna Level ◽  
Enzyme Linked Immunosorbent Assay ◽  
Hormone Regulation ◽  
Ovarian Carcinomas ◽  
Favorable Prognosis ◽  
Potential Biomarker

PurposeHuman kallikrein 13 (hK13; encoded by the KLK13 gene) is a secreted serine protease expressed in endocrine tissues, including the prostate, testis, breast, and ovary. We have previously reported steroid hormone regulation of the KLK13 gene and its clinical value as a marker of favorable prognosis in breast cancer at the mRNA level. We hypothesized that hK13 may represent a potential biomarker for ovarian carcinomas.Patients and MethodsUsing a newly developed enzyme-linked immunosorbent assay (ELISA), hK13 levels were quantified in 131 ovarian tumor extracts and correlated with various clinicopathological variables and outcome (progression-free survival [PFS], overall survival [OS]), over a median follow-up period of 42 months.ResultshK13 concentration in ovarian tumor cytosols ranged from 0 to 18.4 ng/mg of total protein. An optimal cutoff value of 0.13 ng/mg (67thpercentile) was selected, based on the ability of hK13 values to predict the PFS of the study population, to categorize tumors as hK13-positive or negative. Women with hK13-positive tumors most often had early stage (stage I/II) disease, no residual tumor after surgery and optimal debulking success (P < .05). Univariate and multivariate Cox regression analyses revealed that patients with hK13-positive tumors had a significantly longer PFS and OS than hK13-negative patients (P < .05). Kaplan-Meier survival curves further confirmed a reduced risk of relapse and death in women with hK13-positive tumors (P = .007 and P = .002, respectively).ConclusionThese results indicate that hK13 is an independent marker of favorable prognosis in ovarian cancer.

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