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Nidogen-2: a new serum biomarker for ovarian cancer.

ABSTRACT: OBJECTIVES:New ovarian cancer biomarkers suitable for early disease diagnosis, prognosis or monitoring could improve patient management and outcomes. DESIGN AND METHODS:Nidogen-2 was measured by immunoassay in serum of 100 healthy women, 100 women with benign gynecological conditions and 100 women with ovarian carcinoma. RESULTS:Serum nidogen-2 concentration between normal and benign disease patients was not different (median, 13.2 and 12.1 mg/L, respectively). However, nidogen-2 concentration in serum of ovarian cancer patients was elevated (median, 18.6 mg/L; p<0.0001). Both nidogen-2 and CA125 were elevated more in serous histotypes of ovarian cancer and late state disease. Nidogen-2 and CA125 concentrations were strongly correlated. ROC curve analysis for nidogen-2 had an area under the curve (AUC) ranging from 0.73 to 0.83 but CA125 was superior (AUC ranging from 0.87 to 0.99). There was no complementarity between the two markers. CONCLUSIONS:Nidogen-2 is a new biomarker for ovarian cancer which correlates closely with CA125.

SUBMITTER: Kuk C

PROVIDER: S-EPMC3109863 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature

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Nidogen-2: a new serum biomarker for ovarian cancer.

Kuk Cynthia C Gunawardana C Geeth CG Soosaipillai Antoninus A Kobayashi Hiroshi H Li Lin L Zheng Yingye Y Diamandis Eleftherios P EP

Clinical biochemistry 20091031 4-5

<h4>Objectives</h4>New ovarian cancer biomarkers suitable for early disease diagnosis, prognosis or monitoring could improve patient management and outcomes.<h4>Design and methods</h4>Nidogen-2 was measured by immunoassay in serum of 100 healthy women, 100 women with benign gynecological conditions and 100 women with ovarian carcinoma.<h4>Results</h4>Serum nidogen-2 concentration between normal and benign disease patients was not different (median, 13.2 and 12.1 mg/L, respectively). However, nid ...[more]

PMID: 19883638

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Project description:BackgroundOvarian cancer is the most fatal gynecologic malignancy worldwide due to its vagueness, delay in diagnosis, recurrence, and drug resistance. Therefore, a new type of ovarian cancer treatment prediction biomarker is urgently needed to supplement existing tools. A total of 230 people participated in this study. Out of this figure, 100 participants were patients who underwent an ovarian tumor operation, another 100 participants were ovarian benign patients, and the remaining 30 participants were healthy women. Cancer (experimental) group were 100 patients who underwent ovarian tumor operation, while the control groups were 130 participants consisting of 100 ovarian benign patients and 30 healthy women. Levels of SAA, carbohydrate antigen-125 (CA-125), and human epididymis protein 4 (HE4) were assessed using standard laboratory protocols. A total of 5 ovarian cancer tissues and paracancerous tissues were collected and then stored at -?80?°C until the qRT-PCR assay was conducted.ResultsThe ROC curve of SAA concentration in ovarian cancer was plotted to obtain the area under the curve AUC?=?0.889, the cut-off value 17.05?mg/L, the sensitivity 78.4% and specificity 86.5%. Compared with pretreatment, the level of serum SAA decreased significantly after treatment. The results revealed that there was a significant correlation between the level of serum SAA and advanced FIGO stage, histology subtype, lymphatic invasion, and distant metastasis (p =?0.003,0.002,0.000 and 0.001). The quantitative Reverse transcription polymerase chain reaction (qRT-PCR) assay revealed that the Messenger RNA (mRNA) of SAA-1 and SAA-4 was much higher in cancer tissues than in adjacent tissues, and MMPs was up-regulation including MMP-1, MMP-9 and MMP- 12 in OVCAR-3 cell stimulated by SAA. The transwell assay revealed that SAA could promote OVCAR-3 cell migration. Moreover, SAA can regulate EMT markers and promote AKT pathway activation.ConclusionsIn summary, our results demonstrated that SAA may be a potential diagnosis and treatment prediction biomarker. The SAA promotes OVCAR-3 cell migration by regulating MMPs and EMT which may correlate with AKT pathway activation.

Project description:BackgroundCA125 is a prevalently used serum biomarker for detecting ovarian cancer over the last three decades. However, it has a significant deficiency in screening for early-stage cancer. With the purpose of exploring an effective approach to improve its performance in early diagnosis, we investigated the postprandial fluctuation pattern of cancer-derived CA125 and the underlying mechanism.MethodsIn two medical centers, 551 patients sonographically diagnosed with ovarian (adnexal) cysts (< 5 cm in diameter) were enrolled and divided into five disease groups (pelvic inflammatory cysts, retention cysts, endometrioma, benign/borderline cystadenoma and malignant cysts). The subtle differences in 1-h postprandial serum CA125 increases were compared between disease groups. A support vector machine (SVM)-based algorithm was used for refining the performance of CA125 postprandial increment. Ovarian cancer xenograft animal and cancer cell models were used to recapitulate the clinical findings and reveal the molecular basis of postprandial blood glucose and insulin in invoking the synthesis/secretion/re-absorption of CA125.ResultsPatients with ovarian cancer presented the highest postprandial increment 13.3 ± 0.7% (mean ± standard deviation) among the five disease groups. Using a CA125 increment ≥ 10% criterion, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) reached 83.3, 96.3, 61.1 and 98.8%, respectively, for early-stage ovarian cancer. This performance was further improved by the SVM-based CA125-increment algorithm, which exhibited 91.7% sensitivity, 99.2% specificity, 89.2% PPV and 99.4% NPV. Both modalities manifested diagnostic advantages over the traditional CA125 test (75.0% sensitivity, 25.4% specificity, 6.6% PPV and 93.6% NPV at the cut-off of 35 U/mL). Regarding the molecular basis, the postprandial blood glucose and insulin-invoked overexpression of Mucin 16 (encoding CA125) were demonstrated in animal and cancer cell models, which were mediated by the PI3K-Akt pathway. Nevertheless, a Mesothelin-based CA125 re-absorption behavior was noted in the treated cancer cells, which contributed to the over-drop following the postprandial peak of serum CA125.ConclusionsCancer-derived serum CA125 possesses a unique and distinctive postprandial pattern, that distinguishes it from the common CA125 elevation in a benign disease condition. The dynamic measurement/assessment strategy can achieve a discriminatory power superior to that of a static test.

Project description:BackgroundIn spite of great progress in the surgical and clinical management, until now no significant improvement in overall survival of High-Grade Serous Ovarian Cancer (HGSOC) patients has been achieved. Important aspects for disease control remain unresolved, including unclear pathogenesis, high heterogeneity and relapse resistance after chemotherapy. Therefore, further research on molecular mechanisms involved in cancer progression are needed to find new targets for disease management. The Krüppel-like factors (KLFs) are a family of transcriptional regulators controlling several basic cellular processes, including proliferation, differentiation and migration. They have been shown to play a role in various cancer-relevant processes, in a context-dependent way.MethodsTo investigate a possible role of KLF family members as prognostic biomarkers, we carried out a bioinformatic meta-analysis of ovarian transcriptome datasets in different cohorts of late-stage HGSOC patients. In vitro cellular models of HGSOC were used for functional studies exploring the role of KLF7 in disease development and progression. Finally, molecular modelling and virtual screening were performed to identify putative KLF7 inhibitors.ResultsBioinformatic analysis highlighted KLF7 as the most significant prognostic gene, among the 17 family members. Univariate and multivariate analyses identified KLF7 as an unfavourable prognostic marker for overall survival in late-stage TCGA-OV and GSE26712 HGSOC cohorts. Functional in vitro studies demonstrated that KLF7 can play a role as oncogene, driving tumour growth and dissemination. Mechanistic targets of KLF7 included genes involved in epithelial to mesenchymal transition, and in maintaining pluripotency and self-renewal characteristics of cancer stem cells. Finally, in silico analysis provided reliable information for drug-target interaction prediction.ConclusionsResults from the present study provide the first evidence for an oncogenic role of KLF7 in HGSOC, suggesting it as a promising prognostic marker and therapeutic target.

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Nidogen-2: a new serum biomarker for ovarian cancer.

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Nidogen-2: a new serum biomarker for ovarian cancer.

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