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Micro RNAs (mi RNAs) belong to a family of small non-coding RNAs (snc RNAs) playing important roles in human carcinogenesis. Multiple investigations reported mi RNAs aberrantly expressed in several cancers, including high-grade serous ovarian carcinoma ( HGS-OvCa). Quantitative PCR is widely used in studies investigating mi RNA expression and the identification of reliable endogenous controls is crucial for proper data normalization. In this study, we aimed to experimentally identify the most stable reference snc RNAs for normalization of mi RNA qPCR expression data in HGS-OvCa. Eleven putative reference snc RNAs for normalization (U6, SNORD48, miR-92a-3p, let-7a-5p, SNORD61, SNORD72, SNORD68, miR-103a-3p, miR-423-3p, miR-191-5p, miR-16-5p) were analysed on a total of 75 HGS-OvCa and 30 normal tissues, using a highly specific qPCR. Both the normal tissues considered to initiate HGS-OvCa malignant transformation, namely ovary and fallopian tube epithelia, were included in our study. Stability of candidate endogenous controls was evaluated using an equivalence test and validated by geNorm and NormFinder algorithms. Combining results from the three different statistical approaches, SNORD48 emerged as stably and equivalently expressed between malignant and normal tissues. Among malignant samples, considering groups based on residual tumour, miR-191-5p was identified as the most equivalent snc RNA. On the basis of our results, we support the use of SNORD48 as best reference snc RNA for relative quantification in mi RNA expression studies between HGS-OvCa and normal controls, including the first time both the normal tissues supposed to be HGS-OvCa progenitors. In addition, we recommend miR-191-5p as best reference snc RNA in mi RNA expression studies with prognostic intent on HGS-OvCa tissues. [ABSTRACT FROM AUTHOR]

Accurate normalization is a primary component of a reliable gene expression analysis based on qRT-PCR technique. While the use of one or more reference genes as internal controls is commonly accepted as the most appropriate normalization strategy, many qPCR-based published studies still contain data poorly normalized and reference genes arbitrarily chosen irrespective of the particular tissue and the specific experimental design. To date, no validated reference genes have been identified for endometrial cancer tissues. In this study, 10 normalization genes (GAPDH, B2M, ACTB, POLR2A, UBC, PPIA, HPRT1, GUSB, TBP, H3F3A) belonging to different functional and abundance classes in various tissues and used in different studies, were analyzed to determine their applicability. In total, 100 endometrioid endometrial cancer samples, which were carefully balanced according to their tumor grade, and 29 normal endometrial tissues were examined using SYBR Green Real-Time RT-PCR. The expression stability of candidate reference genes was determined and compared by means of geNorm and NormFinder softwares. Both algorithms were in agreement in identifying GAPDH, H3F3A, PPIA, and HPRT1 as the most stably expressed genes, only differing in their ranking order. Analysis performed on the expression levels of all candidate genes confirm HPRT1 and PPIA as the most stably expressed in the study groups regardless of sample type, to be used alone or better in combination. As the stable expression of HPRT1 and PPIA between normal and tumor endometrial samples fulfill the basic requirement of a reference gene to be used for normalization purposes, HPRT1 expression showed significant differences between samples from low-grade and high-grade tumors. In conclusion, our results recommend the use of PPIA as a single reference gene to be considered for improved reliability of normalization in gene expression studies involving endometrial tumor samples at different tumor degrees. [ABSTRACT FROM AUTHOR]

Background: The aim of the present study was to investigate within ovarian carcinoma and normal ovarian biopsies the gene expression of multiple secretoglobin family members relative to mammaglobin B, which we previously reported as a promising novel ovarian carcinoma prognostic marker. Methods: Using quantitative real-time Reverse Transcription PCR we tested 53 ovarian carcinoma and 30 normal ovaries for the expression of 8 genes belonging to the secretoglobin family: mammaglobin A, lipophilin A, lipophilin B, uteroglobin, HIN-1, UGRP-1, RYD5 and IIS. Next, we decided to expand the LipB gene expression analysis to a further 48 ovarian carcinoma samples, for a total of 101 tumor tissues of various histologies and to study its protein expression by immunohistochemistry in formalin-fixed paraffin-embedded tumors and normal ovaries. Finally, we correlated lipophilin B gene and protein expression to conventional patient clinico-pathological features and outcome. Results: We found significant mammaglobin A, lipophilin A, lipophilin B and RYD5 gene overexpression in ovarian carcinomas compared to normal ovaries. Lipophilin B mRNA showed a higher presence in tumors (75.4%) compared to normal ovaries (16.6%) and the most significant correlation with mammaglobin B mRNA (rs =0.77, p < 0.001). By immunohistochemical analysis, we showed higher lipophilin B expression in the cytoplasm of tumor cells compared to normal ovaries (p < 0.001). Moreover, lipophilin B gene overexpression was significantly associated with serous histology (serous vs clear cell p = 0.027; serous vs undifferentiated p = 0.007) and lower tumor grade (p = 0.02). Lower LipB mRNA levels (low versus high tertiles) were associated to a shorter progression-free (p = 0.03, HR = 2.2) and disease-free survival (p = 0.02, HR = 2.5) by univariate survival analysis and, importantly, they remain an independent prognostic marker for decreased disease-free (p = 0.001, HR = 3.9) and progression-free survival (p = 0.004, HR = 2.8) in multivariate Cox regression analysis. Conclusions: The present study represents the first quantitative evaluation of secretoglobin gene expression in normal and neoplastic ovarian tissues. Our results demonstrate lipophilin B gene and protein upregulation in ovarian carcinoma compared to normal ovary. Moreover, lipophilin B gene overexpression correlates with a less aggressive tumor phenotype and represents a novel ovarian carcinoma prognostic factor. [ABSTRACT FROM AUTHOR]

Abstract: Objective.: To identify novel molecular biomarkers useful for the early diagnosis and therapy of ovarian cancer by gene expression profiling. To compare the genetic fingerprints of flash-frozen ovarian serous carcinomas to those of matched highly purified primary tumor cell cultures. Methods.: Gene expression profiles of 19 flash-frozen ovarian serous papillary carcinoma (OSPC) were analyzed and compared to 15 controls (highly purified human ovarian surface epithelium short-term cultures, HOSE) using oligonucleotide microarrays complementary to >14,500 human genes. In addition, gene expression profiling of 5 highly purified primary OSPC cultured in vitro for less than 2 weeks was compared to flash-frozen ovarian carcinoma biopsies obtained from matched samples. Quantitative RT-PCR and IHC staining techniques were used to validate microarray data at RNA and protein levels for some of the differentially expressed genes. Results.: Unsupervised analysis of gene expression data readily distinguished normal tissue from flash-frozen OSPC and identified 901 and 557 genes that exhibited >3-fold up-regulation or down-regulation, respectively, in OSPC when compared to HOSE. Mammaglobin 2, an ovarian secreted protein, was identified as the top differentially expressed gene in OSPC (19 out 19 OSPC versus 0 out of 15 HOSE) with over 827-fold up-regulation relative to HOSE. The claudin and kallikrein family of proteins including the clostridium perfringens enterotoxin receptors claudin 3 and 4, kallikreins 6, 7, 8, 10, 11 and the immunomodulatory molecule B7-H4 were found among the most highly overexpressed genes in OSPC when compared to HOSE. Genetic fingerprints of flash-frozen OSPC were found to have high correlation with those of purified primary OSPC short-term in vitro cultures with only 31 out of 8637 genes (0.35%) differentially expressed between the two groups. Conclusions.: Short-term in vitro culture of primary ovarian carcinomas may greatly increase the purity of ovarian tumor RNA available for gene expression profiling without causing major alteration in OSPC fingerprints. Mammaglobin 2, kallikreins 6, 7, 8, 10, 11, claudin 3 and 4 and B7-H4 gene expression products represent candidate biomarkers endowed with great potential for early screening and therapy of OSPC patients. [Copyright &y& Elsevier]

The author sought t0 identity metastasis-associated genes In ovarian serious papillary carcinomas as groundwork for the development of more effective treatment modalities than are article currently. [ABSTRACT FROM PUBLISHER]