Evolving Role of Serum Biomarkers in the Management of Ovarian Cancer

Prediction of the treatment response in ovarian cancer: a ctDNA approach

Ovarian cancer is the eighth most commonly occurring cancer in women. Clinically, the limitation of conventional screening and monitoring approaches inhibits high throughput analysis of the tumor molecular markers toward prediction of treatment response. Recently, analysis of liquid biopsies including circulating tumor DNA (ctDNA) open new way toward cancer diagnosis and treatment in a personalized manner in various types of solid tumors. In the case of ovarian carcinoma, growing pre-clinical and clinical studies underscored promising application of ctDNA in diagnosis, prognosis, and prediction of treatment response. In this review, we accumulate and highlight recent molecular findings of ctDNA analysis and its associations with treatment response and patient outcome. Additionally, we discussed the potential application of ctDNA in the personalized treatment of ovarian carcinoma. ctDNA-monitoring usage during the ovarian cancer treatments procedures.

Diagnostic Accuracy of Serum Kallikrein-Related Peptidases for Ovarian Cancer: A Systematic Review and Meta-Analysis

OBJECTIVE

At present, considerable efforts have been made to identify new cancer-specific markers for ovarian cancer (OC) diagnosis and the kallikrein-related peptidases (KLKs) family is one of the most studied candidates. This meta-analysis aims to evaluate the pooled diagnostic value of serum KLK measurement for diagnosing OC.

METHODS

The Cochrane Library, PubMed, Excerpt Medica Database were searched for all relevant literature. The Quality Assessment for Studies of Diagnostic Accuracy tool was applied to assess the quality of enrolled studies. Statistical analysis was conducted by using Stata 13.0 software and Meta-Disc.

RESULTS

A total of 15 studies from 13 articles were considered eligible for inclusion in the present analysis. The following pooled parameters were calculated by using the bivariate model: sensitivity of 0.582 (95% confidence interval [CI], 0.517-0.644), specificity of 0.909 (95% CI, 0.833-0.952), positive likelihood ratios of 6.367 (95% CI, 3.330-12.172), negative likelihood ratios of 0.460 (95% CI, 0.388-0.546), diagnostic odds ratio of 13.831 (95% CI, 6.460-29.614), respectively.

CONCLUSIONS

Kallikrein-related peptidase seems to be a promising candidate biomarker in diagnosing OC, but the associated poor sensitivity of KLK individually may limit its value in clinical application. To resolve this problem, the combination of KLK and other markers may offer improved performance than a single marker.

Serum and tissue biomarkers as predictive and prognostic variables in epithelial ovarian cancer

Tumour stage, residual disease after initial surgery, histological type and tumour grade are the most important clinical-pathological factors related to the clinical outcome of patients with epithelial ovarian cancer. In the last years, several investigations have assessed different biological variables in sera and in tissue samples from patients with this malignancy in order to detect biomarkers able to reflect either the response to chemotherapy or survival. The present paper reviewed the literature data about the predictive or prognostic relevance of serum CA 125, soluble cytokeratin fragments, serum human kallikreins, serum cytokines, serum vascular endothelial growth factor and plasma d-dimer as well as of tissue expression of cell cycle- and apoptosis-regulatory proteins, human telomerase reverse transcriptase, membrane tyrosine kinase receptors and matrix metalloproteinases. A next future microarray technology will hopefully offer interesting perspectives of translational research for the identification of novel predictive and prognostic biomarkers for epithelial ovarian cancer.

Surveillance procedures for patients treated for epithelial ovarian cancer: a review of the literature

Epithelial ovarian cancer is the leading cause of death from gynecological cancer in the Western countries. Approximately 20%-30% of patients with early-stage disease and 50%-75% of those with advanced disease who obtain a complete response following first-line chemotherapy will ultimately develop recurrent disease, which more frequently involves the pelvis and abdomen. Few formal guidelines exist regarding the surveillance of these patients, and there is no agreement in the literature about the type and timing of examinations to perform. Moreover, the objective of follow-up is unclear as recurrent epithelial ovarian cancer continues to be a therapeutic dilemma and quite all the relapsed patients will eventually die of their disease. The follow-up of asymptomatic patients generally include complete clinical history, serum cancer antigen (CA)125 assay, physical examination, and often ultrasound examination, whereas additional radiologic imaging techniques are usually performed when symptoms or signs appear. (18)Fluoro-2-deoxy-glucose ((18)FDG)-positron emission tomography (PET) has a sensitivity of 90% and a specificity of 85% approximately for the detection of recurrent disease, and this examination appears to be particularly useful for the diagnosis of recurrence when CA125 levels are rising and conventional imaging is inconclusive or negative. Recently, technologic advances have led to novel combined (18)FDG-PET/computed tomography (CT) devices, which perform contemporaneous acquisition of both (18)FDG-PET and CT images. The role of (18)FDG-PET/CT for the detection of recurrent ovarian cancer is very promising, and this technique may be especially useful for the selection of patients with late recurrent disease who may benefit from secondary cytoreductive surgery.