Is there a genomic basis for primary chemoresistance in ovarian cancer?

An in-Depth Analysis of Ovarian Cancer: Pathogenesis and Clinical Manifestation

Ovarian cancer is characterized by the establishment of tolerance, the recurrence of disease, as well as a poor prognosis. Gene signatures in ovarian cancer cells enable cancer medicine research, therapy, prevention, & management problematic. Notwithstanding advances in tumor puncture surgery, novel combinations regimens, and abdominal radiation, which can provide outstanding reaction times, the bulk of gynecological tumor patients suffer from side effects & relapse. As a consequence, more therapy alternatives for individuals with ovarian cancer must always be studied to minimize side effects and improve progression-free and total response rates. The development of cancer medications is presently undergoing a renaissance in the quest for descriptive and prognostic ovarian cancer biomarkers. Nevertheless, abnormalities in the BRCA2 or BRCA1 genes, a variety of hereditary predispositions, unexplained onset and progression, molecular tumor diversity, and illness staging can all compromise the responsiveness and accuracy of such indicators. As a result, current ovarian cancer treatments must be supplemented with broad-spectrum & customized targeted therapeutic approaches. The objective of this review is to highlight recent contributions to the knowledge of the interrelations between selected ovarian tumor markers, various perception signs, and biochemical and molecular signaling processes, as well as one's interpretation of much more targeted and effective treatment interventions.

Pre-Treatment Prediction of Chemoresistance in Second-Line Chemotherapy of Ovarian Carcinoma: Value of Serological Tumor Marker Determination (Tetranectin, YKL-40, CASA, CA 125)

Objective

To examine if the determination of the levels of serological tumor markers at time of relapse had any predictive value for chemoresistance in the second-line treatment of ovarian cancer patients.

Methods

From a registry of consecutive single-institution patients with epithelial ovarian carcinoma pretreated with paclitaxel plus platinum, we selected 82 patients with (a) solid tumor recurrence, and (b) second-line chemotherapy consisting of topotecan (platinum-resistant disease) or paclitaxel plus carboplatin (platinum-sensitive disease). Stored serum samples were analyzed for the biochemical tumor markers tetranectin, YKL-40, CASA (cancer-associated serum antigen), and CA 125. The serum tumor marker levels at time of relapse were correlated with response status at landmark time after 4 cycles of second-line chemotherapy. Univariate and multivariate logistic regression analyses (chemoresistant vs non-chemoresistant disease) were performed.

Results

At landmark time, 26% of patients had progression according to the GCIG (Gynecologic Cancer Intergroup) progression criteria. In univariate logistic regression analysis, the tumor markers tetranectin (OR 0.4; 95% CI: 0.2–0.8; p=0.008), YKL-40 (OR 1.8; 95% CI: 1.0–3.3; p=0.045), and CASA (OR 1.8; 95% CI: 1.2–2.7; p=0.007) had predictive value for second-line chemoresistance, whereas serum CA 125 had no predictive value. In a multivariate logistic regression analysis, serum tetranectin and CASA both had independent predictive value for chemoresistance. The combined determination of tetranectin and CASA had a specificity of 90% with 33% sensitivity for the prediction of chemoresistance (area under the receiver operating characteristic curve = 0.78; 95% CI: 0.66–0.91; p=0.001).

Conclusion

Low serum levels of tetranectin, or high serum levels of CASA or YKL-40, are associated with increased risk of second-line chemoresistance in patients with ovarian cancer.

Optimizing molecular-targeted therapies in ovarian cancer: the renewed surge of interest in ovarian cancer biomarkers and cell signaling pathways

The hallmarks of ovarian cancer encompass the development of resistance, disease recurrence and poor prognosis. Ovarian cancer cells express gene signatures which pose significant challenges for cancer drug development, therapeutics, prevention and management. Despite enhancements in contemporary tumor debulking surgery, tentative combination regimens and abdominal radiation which can achieve beneficial response rates, the majority of ovarian cancer patients not only experience adverse effects, but also eventually relapse. Therefore, additional therapeutic possibilities need to be explored to minimize adverse events and prolong progression-free and overall response rates in ovarian cancer patients. Currently, a revival in cancer drug discovery is devoted to identifying diagnostic and prognostic ovarian cancer biomarkers. However, the sensitivity and reliability of such biomarkers may be complicated by mutations in the BRCA1 or BRCA2 genes, diverse genetic risk factors, unidentified initiation and progression elements, molecular tumor heterogeneity and disease staging. There is thus a dire need to expand existing ovarian cancer therapies with broad-spectrum and individualized molecular targeted approaches. The aim of this review is to profile recent developments in our understanding of the interrelationships among selected ovarian tumor biomarkers, heterogeneous expression signatures and related molecular signal transduction pathways, and their translation into more efficacious targeted treatment rationales.

The feasibility of storing ovarian tumor cells on databasing paper: establishing a library of ovarian cancer DNA

The purpose of this study was to assess the feasibility of establishing a library of ovarian cancer nucleic acids using paper matrix by: 1) confirming the stability of DNA stored on paper matrix over a prolonged period of time, 2) determining the amount of genetic material required for storage, and 3) establishing the stability of RNA. Tumor tissue from 66 patients with ovarian cancer was collected intraoperatively, frozen, and dissociated with collagenase and trypsin. A cell suspension was then prepared and spotted onto the paper. The numbers of cells that were stored on the paper were counted using a hemocytometer. The cell suspension was serially diluted and spotted on the paper matrix until the minimum cell number that can be stored and produce a PCR product was determined. PCR, STR genotyping and direct sequencing were performed on tissue stored on the paper matrix. FTA® paper was used as RNA template, and RT PCR converted the RNA to cDNA. Ten to 50 mg of ovarian cancer tissue was stored on FTA® paper. We stored 7 × 104cells on ISOcode® paper and 18 × 104cells on FTA® and obtained extractable DNA. PCR analysis on cards with DNA stored 18 months ago enabled us to establish the stability of DNA after storage. RNA was stable for 6 months when stored on FTA® cards. Since genetic material is extractable from the paper matrices after passage of time, it could be a suitable medium for the storage of genetic material in cancer tissue banks.