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      Kallikrein family proteases KLK6 and KLK7 are potential early detection and diagnostic biomarkers for serous and papillary serous ovarian cancer subtypes

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          Abstract

          Background

          Early detection of ovarian cancer remains a challenge due to widespread metastases and a lack of biomarkers for early-stage disease. This study was conducted to identify relevant biomarkers for both laparoscopic and serum diagnostics in ovarian cancer.

          Methods

          Bioinformatics analysis and expression screening in ovarian cancer cell lines were employed. Selected biomarkers were further validated in bio-specimens of diverse cancer types and ovarian cancer subtypes. For non-invasive detection, biomarker proteins were evaluated in serum samples from ovarian cancer patients.

          Results

          Two kallikrein (KLK) serine protease family members (KLK6 and KLK7) were found to be significantly overexpressed relative to normal controls in most of the ovarian cancer cell lines examined. Overexpression of KLK6 and KLK7 mRNA was specific to ovarian cancer, in particular to serous and papillary serous subtypes. In situ hybridization and histopathology further confirmed significantly elevated levels of KLK6 and KLK7 mRNA and proteins in tissue epithelium and a lack of expression in neighboring stroma. Lastly, KLK6 and KLK7 protein levels were significantly elevated in serum samples from serous and papillary serous subtypes in the early stages of ovarian cancer, and therefore could potentially decrease the high “false negative” rates found in the same patients with the common ovarian cancer biomarkers human epididymis protein 4 (HE4) and cancer antigen 125 (CA-125).

          Conclusion

          KLK6 and KLK7 mRNA and protein overexpression is directly associated with early-stage ovarian tumors and can be measured in patient tissue and serum samples. Assays based on KLK6 and KLK7 expression may provide specific and sensitive information for early detection of ovarian cancer.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s13048-014-0109-z) contains supplementary material, which is available to authorized users.

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          Most cited references71

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          High resistance to cisplatin in human ovarian cancer cell lines is associated with marked increase of glutathione synthesis.

          Exposure of human ovarian tumor cell lines to cisplatin led to development of cell lines that exhibited increasing degrees of drug resistance, which were closely correlated with increase of the levels of cellular glutathione. Cell lines were obtained that showed 30- to 1000-fold increases in resistance; these cells also had strikingly increased (13- to 50-fold) levels of glutathione as compared with the drug-sensitive cells of origin. These levels of resistance to cisplatin and the cellular glutathione levels are substantially greater than previously reported. Very high cisplatin resistance was associated with enhanced expression of mRNAs for gamma-glutamylcysteine synthetase and gamma-glutamyl transpeptidase; immunoblots showed increase of gamma-glutamylcysteine synthetase but not of glutathione synthetase. Glutathione S-transferase activity was unaffected, as determined with chlorodinitrobenzene as a substrate. These studies suggest the potential value of examining regulation of glutathione synthesis as an indicator of clinical prognosis. The highly resistant cell lines are proving useful for studying the multiple mechanisms by which tumor cells acquire drug- and radiation-resistance.
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            Morphological subtypes of ovarian carcinoma: a review with emphasis on new developments and pathogenesis.

            Ovarian carcinomas comprise a heterogeneous group of neoplasms, the four most common subtypes being serous, endometrioid, clear cell and mucinous. In recent years, our understanding of the underlying pathogenesis and initiating molecular events in the different tumour subtypes has greatly increased, and although ovarian carcinoma is often considered clinically as one disease, there is now a much greater realisation that the various subtypes have a different natural behaviour and prognosis. At present, adjuvant therapy is mainly dependent upon tumour stage and grade rather than type; however, this is likely to change in the future with the development of new chemotherapeutic agents and targeted therapies and clinical trials are necessary to evaluate the efficacy of different agents in clear cell, mucinous and low grade serous carcinomas, neoplasms which are considered relatively resistant to traditional chemotherapeutic regimes. In this review, the major subtypes of ovarian carcinoma are discussed. It is now firmly established that there are two distinct types of ovarian serous carcinoma, low grade and high grade, the former being much less common and arising in many cases from a serous borderline tumour. Low grade and high grade serous carcinoma represent two distinct tumour types with a different underlying pathogenesis rather than low grade and high grade variants of the same neoplasm. Both are usually advanced stage (stage III or IV) at diagnosis. B-raf and k-ras mutations are important molecular events in low grade serous carcinomas while high grade serous carcinomas are almost always associated with TP53 mutation. There is now emerging and compelling evidence that many high grade serous carcinomas (by far the most common subtype of ovarian carcinoma) actually arise from the epithelium of the distal fallopian tube. Future studies regarding the initiating molecular events in the development of this aggressive neoplasm should concentrate on this site. Primary ovarian mucinous carcinomas are uncommon, almost always unilateral and stage I, and largely of so-called intestinal or enteric type. Most arise in a stepwise manner from a pre-existing mucinous cystadenoma and mucinous borderline tumour. Endometrioid and clear cell carcinomas typically present as low stage neoplasms and in many, or most, cases arise from endometriosis; the former are usually well differentiated and there is now evidence that the majority of neoplasms reported in the past as high grade endometrioid carcinoma are of serous type. WT1 is useful in this regard since it is a relatively specific marker of a serous phenotype. It is recommended that different subtypes of ovarian carcinoma are graded using different systems rather than employing a universal grading system.
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              Early events in the pathogenesis of epithelial ovarian cancer.

              Ovarian carcinogenesis, as in most cancers, involves multiple genetic alterations. A great deal has been learned about proteins and pathways important in the early stages of malignant transformation and metastasis, as derived from studies of individual tumors, microarray data, animal models, and inherited disorders that confer susceptibility. However, a full understanding of the earliest recognizable events in epithelial ovarian carcinogenesis is limited by the lack of a well-defined premalignant state common to all ovarian subtypes and by the paucity of data from early-stage cancers. Evidence suggests that ovarian cancers can progress both through a stepwise mutation process (low-grade pathway) and through greater genetic instability that leads to rapid metastasis without an identifiable precursor lesion (high-grade pathway). In this review, we discuss many of the genetic and molecular disorders in each key process that is altered in cancer cells, and we present a model of ovarian pathogenesis that incorporates the role of tumor cell mutations and factors in the host microenvironment important to tumor initiation and progression.
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                Author and article information

                Contributors
                ATamir@HackensackUMC.org
                Ujag@humed.com
                SSarojini@HackensackUMC.org
                CSchindewolf@HackensackUMC.org
                takemi.tanaka@ouhsc.edu
                RGharbaran@HackensackUMC.org
                HPatel@humed.com
                asood@mdanderson.org
                whu@mdanderson.org
                RPatwa@humed.com
                pat@sophicalliance.com
                Pchirina@HackensackUMC.org
                pokey0099@gmail.com
                Heejinlim223@gmail.com
                AGoy@HackensackUMC.org
                APecora@HackensackUMC.org
                KSuh@HackensackUMC.org
                Journal
                J Ovarian Res
                J Ovarian Res
                Journal of Ovarian Research
                BioMed Central (London )
                1757-2215
                5 December 2014
                5 December 2014
                2014
                : 7
                : 1
                : 109
                Affiliations
                [ ]The Genomics and Biomarkers Program, The John Theurer Cancer Center, Hackensack University Medical Center, D. Jurist Research Building, 40 Prospect Avenue, Hackensack, NJ 07601 USA
                [ ]Thomas Jefferson University, Philadelphia, PA 19107 USA
                [ ]Departments of Gynecologic Oncology and Cancer Biology, MD Anderson Cancer Center, University of Texas, Houston, TX 77030 USA
                [ ]Sophic Systems Alliance, Inc, Rockville, MD 20850 USA
                Article
                109
                10.1186/s13048-014-0109-z
                4271347
                25477184
                2f31aae0-abab-4e37-bfc9-305b92d95dc8
                © Tamir et al.; licensee BioMed Central Ltd. 2014

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 7 March 2014
                : 11 November 2014
                Categories
                Research
                Custom metadata
                © The Author(s) 2014

                Obstetrics & Gynecology
                biomarker,ovarian cancer,diagnostic,early detection,bioinformatics
                Obstetrics & Gynecology
                biomarker, ovarian cancer, diagnostic, early detection, bioinformatics

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