MWMilosz Wilczynski
Papers(4)
MiRNAs in endometrioi…The Toll-like Recepto…Cancer Stem Cells in …Differential microRNA…
Collaborators(7)
Jacek Radosław Wilczy…Edyta ParadowskaKatarzyna D. KaniaDariusz JarychEwelina PerdasDamian MikulskiMateusz Nowak
Institutions(5)
Polish Mothers Memori…Medical University of…Institute of Medical …Polish Academy Of Sci…Unknown Institution

Papers

MiRNAs in endometrioid endometrial cancer metastatic loci derived from positive lymph nodes

AbstractIntroductionMicroRNAs (miRNAs) take part in tumorigenesis and show aberrant expression levels in cancerous tissues. We aimed to perform miRNA profiling of endometrioid endometrial cancer (EEC) metastatic loci derived from lymph nodes. Identification of aberrant miRNAs in positive lymph nodes could contribute to establishing new diagnostic markers and therapeutic targets.Material and methodsDuring the screening phase of the study, we performed profiling of 754 human miRNAs in endometrioid endometrial cancer tissues, microdissected metastatic loci from lymph nodes and healthy lymph nodes (Taqman Array). Selection of candidate miRNAs and subsequent validation using quantitative reverse transcription polymerase chain reaction (qRT‐PCR) in 50 tissue samples were performed.ResultsAfter the screening phase of the study, five miRNAs were selected (hsa‐miR‐18b, hsa‐miR‐148a‐5p, hsa‐miR‐204, hsa‐miR‐424, hsa‐miR‐129‐1‐3p). Validation revealed that miRNA‐204 and miRNA‐424 were highly downregulated in metastatic tissues compared with endometrial cancer samples (hsa‐miR‐204—P = .0008; hsa‐miR‐424—P = .0001). Receiver operating characteristic curves, which were constructed to compare endometrioid endometrial cancer and positive endometrioid endometrial cancer lymph nodes yielded the following area under the curves (AUCs): hsa‐miR‐204—.802 (96% confidence interval CI 0.676‐0.927), hsa‐miR‐424—.84 (95% CI 0.711‐0.969).ConclusionsCompared with primary endometrioid endometrial cancer tissue, metastatic loci derived from positive lymph nodes are characterized by profound downregulation of miRNA‐204 and miRNA‐424.

Cancer Stem Cells in Ovarian Cancer—A Source of Tumor Success and a Challenging Target for Novel Therapies

Ovarian cancer is the most lethal neoplasm of the female genital organs. Despite indisputable progress in the treatment of ovarian cancer, the problems of chemo-resistance and recurrent disease are the main obstacles for successful therapy. One of the main reasons for this is the presence of a specific cell population of cancer stem cells. The aim of this review is to show the most contemporary knowledge concerning the biology of ovarian cancer stem cells (OCSCs) and their impact on chemo-resistance and prognosis in ovarian cancer patients, as well as to present the treatment options targeted exclusively on the OCSCs. The review presents data concerning the role of cancer stem cells in general and then concentrates on OCSCs. The surface and intracellular OCSCs markers and their meaning both for cancer biology and clinical prognosis, signaling pathways specifically activated in OCSCs, the genetic and epigenetic regulation of OCSCs function including the recent studies on the non-coding RNA regulation, cooperation between OCSCs and the tumor microenvironment (ovarian cancer niche) including very specific environment such as ascites fluid, the role of shear stress, autophagy and metabolic changes for the function of OCSCs, and finally mechanisms of OCSCs escape from immune surveillance, are described and discussed extensively. The possibilities of anti-OCSCs therapy both in experimental settings and in clinical trials are presented, including the recent II phase clinical trials and immunotherapy. OCSCs are a unique population of cancer cells showing a great plasticity, self-renewal potential and resistance against anti-cancer treatment. They are responsible for the progression and recurrence of the tumor. Several completed and ongoing clinical trials have tested different anti-OCSCs drugs which, however, have shown unsatisfactory efficacy in most cases. We propose a novel approach to ovarian cancer diagnosis and therapy.

Differential microRNA Expression Analysis in Patients with HPV-Infected Ovarian Neoplasms

This study aimed to identify microRNAs (miRNAs) whose expression levels are altered by high-risk human papillomavirus (HR-HPV) infection in women with epithelial ovarian neoplasms. MiRNA expression was quantified by real-time polymerase chain reaction, while HR-HPV DNA was quantified using digital-droplet PCR. Analysis of 11 miRNAs demonstrated significantly lower hsa-miR-25-5p expression in HPV-infected compared to uninfected ovarian tissues (p = 0.0405), while differences in miRNA expression in corresponding serum were statistically insignificant. The expression of hsa-miR-218-5p in ovarian tumors was significantly higher in high-grade serous ovarian carcinoma (HGSOC) cases than in other neoplasms (p = 0.0166). In addition, hsa-miR-218-5p was significantly upregulated, whereas hsa-miR-191-5p was significantly downregulated in tissues with stage III/IV FIGO (p = 0.0009 and p = 0.0305, respectively). Using unsupervised clustering, we identified three unique patient groups with significantly varied frequencies of HPV16/18-positive samples and varied miRNA expression profiles. In multivariate analysis, high expression of hsa-miR-16-5p was an independent prognostic factor for poor overall survival (p = 0.0068). This preliminary analysis showed the changes in miRNA expression in ovarian neoplasms during HPV infection and those collected from HGSOCs or patients with advanced disease. This prospective study can provide new insights into the pathogenesis of ovarian neoplasms and host–virus interactions.

4Papers
7Collaborators