Objectives: The present study was conducted to investigate the sensitivity, specificity, predictive values and accuracy of serum CA125 and Bcl-2 levels and their combination in advanced epithelial ovarian cancer patients.
Methods: Healthy controls (n = 117) with no gynecologic problems and patients with ovarian carcinoma (n = 117), pathologically verified, consecutively admitted to the Istanbul University, Oncology Institute during a one-year period were investigated. Serum Bcl-2 and CA125 were determined by using enzyme linked immunosorbent assay method.
Results: The serum bcl-2 and CA125 levels were significantly higher in patients with ovarian cancer than in the control group (P < 0.001). The diagnostic sensitivity and specificity, predictive values and accuracies were calculated for each marker and their combination.
Conclusion: The best result was achieved with the combination of CA125-bcl-2. This combination fulfills the need of diagnosis of ovarian carcinoma for the best sensitivity and specificity.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/COC.0b013e318174dbd2 | DOI Listing |
Histopathology
January 2025
Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Aims: Classification and risk stratification of endometrial carcinoma (EC) has transitioned from histopathological features to molecular classification, e.g. the ProMisE classifier, identifying four prognostic subtypes: POLE mutant (POLEmut) with almost no recurrence or disease-specific death events, mismatch repair deficient (MMRd) and no specific molecular profile (NSMP), with intermediate outcome and p53 abnormal (p53abn) with poor outcomes.
View Article and Find Full Text PDFJ Pharm Anal
December 2024
Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, 117004, China.
Gynecological cancers present significant treatment challenges due to drug resistance and adverse side effects. This review explores advancements in lysosomal escape mechanisms, essential for enhancing nano-therapeutic efficacy. Strategies such as pH-sensitive linkers and membrane fusion are examined, showcasing their potential to improve therapeutic outcomes in ovarian, cervical, and uterine cancers.
View Article and Find Full Text PDFPrz Menopauzalny
December 2024
Department of Surgical and Endoscopic Gynecology, Medical University of Lodz, Lodz, Poland.
Introduction: Ovarian cancer is a significant cause of death among females. MiRNAs, particularly the miR-196 family, can influence tumor progression by targeting specific pathways. Detecting ovarian cancer early is challenging, highlighting the need for additional biomarkers such as miRNAs to improve diagnosis and treatment strategies.
View Article and Find Full Text PDFBiomed Rep
March 2025
Department of Clinical Therapeutics, Alexandra Hospital, National and Kapodistrian University of Athens, 11528 Athens, Greece.
The advent of personalized and precision medicine has revolutionized oncology and treatment of gynecological cancer. These innovative approaches tailor treatments to individual patient profiles beyond genetic markers considering environmental and lifestyle factors, thereby optimizing therapeutic efficacy and minimizing adverse effects. Precision medicine uses advanced genomic technologies such as next-generation sequencing to perform comprehensive tumor profiling.
View Article and Find Full Text PDFJ R Stat Soc Ser A Stat Soc
January 2025
Division of Cancer Epidemiology & Genetics, National Cancer Institute, Biostatistics Branch, Rockville, USA.
Accurate cancer risk estimation is crucial to clinical decision-making, such as identifying high-risk people for screening. However, most existing cancer risk models incorporate data from epidemiologic studies, which usually cannot represent the target population. While population-based health surveys are ideal for making inference to the target population, they typically do not collect time-to-cancer incidence data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!