Purpose: The aim of the present work was to evaluate the usefulness of CA-125 normalized in time area under the curve (CA-125 AUC) to signalise epithelial ovarian cancer relapse.

Patients And Methods: Data from a hundred and eleven patients were submitted to two different approaches based on CA-125 AUC increase values to predict patient relapse. In Criterion A total CA-125 AUC normalized in time value (AUC(i)) was compared with the immediately previous one (AUC(i-1)) using the formulae AUC(i) > or = F * AUC(i-1) (several F values were tested) to find the appropriate close related increment associated to patient relapse. In Criterion B total CA-125 AUC normalised in time was calculated and several cut-off values were correlated with patient relapse prediction capacity.

Results: In Criterion A the best accuracy was achieved with a factor (F) of 1.25 (increment of 25% from the previous status), while in Criterion B the best accuracies were achieved with cut-offs of 25, 50, 75 and 100 IU/mL. The mean lead time to relapse achieved with Criterion A was 181 days, while with Criterion B they were, respectively, 131, 111, 63 and 11 days.

Conclusion: Based on our results we believe that conjugation and sequential application of both criteria in patient relapse detection should be highly advisable. CA-125 AUC rapid burst in asymptomatic patients should be firstly evaluated using Criterion A with a high accuracy (0.85) and with a substantial mean lead time to relapse (181 days). If a negative answer was obtained then Criterion B should performed to confirm the absence of relapse.

Download full-text PDF

Source
http://dx.doi.org/10.3233/cbm-2008-4203DOI Listing

Publication Analysis

Top Keywords

ca-125 auc
24
patient relapse
16
epithelial ovarian
8
ovarian cancer
8
relapse
8
normalized time
8
criterion
8
relapse criterion
8
criterion total
8
total ca-125
8

Similar Publications

Introduction: Adaptive ChemoTherapy for Ovarian cancer (ACTOv) is a phase II, multicentre, randomised controlled trial, evaluating an adaptive therapy (AT) regimen with carboplatin in women with relapsed, platinum-sensitive high-grade serous or high-grade endometrioid cancer of the ovary, fallopian tube and peritoneum whose disease has progressed at least 6 months after day 1 of the last cycle of platinum-based chemotherapy. AT is a novel, evolutionarily informed approach to cancer treatment, which aims to exploit intratumoral competition between drug-sensitive and drug-resistant tumour subpopulations by modulating drug dose according to a patient's own response to the last round of treatment. ACTOv is the first clinical trial of AT in this disease setting.

View Article and Find Full Text PDF
Article Synopsis
  • The study aims to create a standard for diagnosing ocular metastasis (OM) in menopausal women with breast cancer and examines the role of specific biomarkers like CA-153 and CA-125.
  • A sample of 1,362 menopausal breast cancer patients was analyzed, revealing a 1.6% incidence of OM and indicating that certain biomarkers are linked to this condition.
  • Results showed that CA-153 and CA-125 had high sensitivity and specificity for diagnosing OM, suggesting that serum CA-153 is a strong predictor for OM in menopausal breast cancer patients, with implications for clinical practice.
View Article and Find Full Text PDF

Apo10 and TKTL1 in blood macrophages as potential biomarkers for early diagnosis of operable breast cancer.

Breast Cancer Res Treat

December 2024

Cancer Prevention Center, State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-Sen University Cancer Center, 651 Dongfengdong Road, Yuexiu District, Guangzhou, 510060, Guangdong, China.

Objective: Blood macrophage Apo10 and TKTL1 detection is a novel, noninvasive cancer screening approach, but its relevance in breast cancer remains uncertain. We compared the potential diagnostic value of Apo10 and TKTL1 with commonly used tumor markers in differentiating breast cancer patients.

Methods: Physical examination and blood sample data from breast cancer patients who did not receive surgery or chemotherapy (retrospective; breast cancer group) and those with benign breast nodules and completely healthy subjects (prospective; control group) were collected from October 2020 to July 2022 at Sun Yat-sen University.

View Article and Find Full Text PDF

Prediction model for ocular metastasis of breast cancer: machine learning model development and interpretation study.

BMC Cancer

November 2024

Department of Ophthalmology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi Province, 330006, China.

Background: Breast cancer (BC) is caused by the uncontrolled proliferation of breast epithelial cells followed by malignant transformation, and it has the highest incidence among female malignant tumors. The metastasis of BC occurs through direct and lymphatic spread. Although ocular metastasis is relatively rare, it is a good indicator of a worse prognosis.

View Article and Find Full Text PDF

Predictive Role of HE4 in Diagnosis of Ovarian Tumors.

J Obstet Gynaecol India

October 2024

Obstretrics and Gynecology, IGIMS, Patna, India.

Background: Approximately 20% of women develop an ovarian cyst or pelvic mass at some point in their lives. Due to high false positivity of CA-125, women with various benign ovarian tumors simulating malignant masses undergo extensive debulking surgery resulting in increased morbidity. Serum HE4 is a useful test for better discrimination of benign or malignant nature of pelvic masses in preoperative period.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!