3 results on '"Mariacristina Di Marino"'
Search Results
2. Analysis of differential miRNA expression in primary tumor and stroma of colorectal cancer patients
- Author
-
Sabino De Placido, Umberto Malapelle, Chiara Romualdi, Giancarlo Troncone, Chiara Carlomagno, Giuseppina Della Vittoria Scarpati, Alfonso De Stefano, Maurizio D'Incalci, Luca Beltrame, Sergio Marchini, Mariacristina Di Marino, Stefano Pepe, Enrica Calura, Della Vittoria Scarpati, Giuseppina, Calura, Enrica, Di Marino, Mariacristina, Romualdi, Chiara, Beltrame, Luca, Malapelle, Umberto, Troncone, Giancarlo, DE STEFANO, Alfonso, Pepe, Stefano, DE PLACIDO, Sabino, D’Incalci, Maurizio, Marchini, Sergio, and Carlomagno, Chiara
- Subjects
Adult ,Male ,Pathology ,medicine.medical_specialty ,Stromal cell ,Article Subject ,Colorectal cancer ,lcsh:Medicine ,Biology ,General Biochemistry, Genetics and Molecular Biology ,Metastasis ,Stroma ,microRNA ,medicine ,Cluster Analysis ,Humans ,Aged ,stromal cells ,Aged, 80 and over ,General Immunology and Microbiology ,Reverse Transcriptase Polymerase Chain Reaction ,Gene Expression Profiling ,lcsh:R ,Reproducibility of Results ,MicroRNA ,General Medicine ,Middle Aged ,medicine.disease ,Primary tumor ,Gene expression profiling ,Gene Expression Regulation, Neoplastic ,MicroRNAs ,colon cancer ,Gene chip analysis ,Female ,Colorectal Neoplasms ,Research Article - Abstract
Aim: Specific MicroRNAs (miRNAs) have been found up- or down-regulated in colorectal cancer, and they are associated with prognosis or response to chemotherapy or targeted drugs. The microenvironment close to the neoplasm plays a leading role in tumor spread and survival. We used microarray technology to profile miRNA expression both in primary tumor and stromal tissue to study differences and clinical implications. Methods: Matched tumor and stroma tissues microdissected from paraffin embedded material of 51 patients with metastatic colorectal cancer, which have been treated with first-line chemotherapy plus bevacizumab, were considered. miRNA expression profile was performed by microarray analysis and confirmed by quantitative real-time Reverse Transcription Polymerase Chain Reaction (qRTPCR). miRNA expression was correlated with: stage at diagnosis (limited vs metastatic), site of primary tumor (right vs left colon vs rectum), first site of metastasis (liver vs lung), progression-free (PFS) and overall survival (OS). Results: We did not find any significant association between miRNA expressions and stage at diagnosis, site of primary tumor, first site of metastasis, PFS or OS. However, 26 miRNAs resulted differentially expressed with at least 2 fold change between tumor tissue and stroma (16 more expressed in the tumor, and 10 more expressed in the stroma). 10/26 were confirmed as differently expressed at qRTPCR: miR-200c-3p, miR-141-3p, miR-200b-3p, miR-200a-3p, miR-1246, miR-92a-3p, miR-194-5p, miR-192-5p, miR-3651-5p, miR-574-3p. Conclusion: colorectal cancer stroma is characterized by specific miRNA expression profile as compared to primary tumor, suggesting that tumor cells and microenvironment may regulate different patterns of tumor behavior. Further studies of genes regulated by these miRNAs may provide details about the role of cancer stroma in the control of tumor’s aggressiveness, preferential site of distant metastases, and prognosis.
- Published
- 2014
3. MiRNA landscape in stage I epithelial ovarian cancer defines the histotype specificities
- Author
-
Maurizio D'Incalci, Enrico Sartori, Luca Clivio, Laura Zanotti, Chiara Romualdi, Rodolfo Milani, Sergio Pecorelli, Duccio Cavalieri, Lara Paracchini, Patrizia Perego, Gabriele Sales, Sergio Marchini, Giorgio Cattoretti, Lorenzo Ceppi, Luca Beltrame, Dionyssios Katsaros, Enrica Calura, Eliana Bignotti, Ilaria Fuso Nerini, Robert Fruscio, Germana Tognon, Antonella Ravaggi, Costantino Mangioni, Mariacristina Di Marino, Paolo Martini, Calura, E, Fruscio, R, Paracchini, L, Bignotti, E, Ravaggi, A, Martini, P, Sales, G, Beltrame, L, Clivio, L, Ceppi, L, Di Marino, M, Fuso Nerini, I, Zanotti, L, Cavalieri, D, Cattoretti, G, Perego, P, Milani, R, Katsaros, D, Tognon, G, Sartori, E, Pecorelli, S, Mangioni, C, D'Incalci, M, Romualdi, C, and Marchini, S
- Subjects
Cancer Research ,Microarray ,Prognosi ,Carcinoma, Ovarian Epithelial ,Biology ,Bioinformatics ,microRNA ,Biomarkers, Tumor ,medicine ,Carcinoma ,Humans ,Microarray Analysi ,Neoplasms, Glandular and Epithelial ,Neoplasm Staging ,Ovarian Neoplasms ,Microarray analysis techniques ,Gene Expression Profiling ,Ovarian Neoplasm ,Cancer ,MicroRNA ,Microarray Analysis ,Prognosis ,medicine.disease ,Gene expression profiling ,Gene Expression Regulation, Neoplastic ,MicroRNAs ,Oncology ,Tumor Markers, Biological ,Cancer research ,Female ,Ovarian cancer ,Clear cell ,Settore BIO/19 - MICROBIOLOGIA GENERALE ,Human - Abstract
Purpose: Epithelial ovarian cancer (EOC) is one of the most lethal gynecologic diseases, with survival rate virtually unchanged for the past 30 years. EOC comprises different histotypes with molecular and clinical heterogeneity, but up till now the present gold standard platinum-based treatment has been conducted without any patient stratification. The aim of the present study is to generate microRNA (miRNA) profiles characteristic of each stage I EOC histotype, to identify subtype-specific biomarkers to improve our understanding underlying the tumor mechanisms. Experimental Design: A collection of 257 snap-frozen stage I EOC tumor biopsies was gathered together from three tumor tissue collections and stratified into independent training (n = 183) and validation sets (n = 74). Microarray and quantitative real-time PCR (qRT-PCR) were used to generate and validate the histotype-specific markers. A novel dedicated resampling inferential strategy was developed and applied to identify the highest reproducible results. mRNA and miRNA profiles were integrated to identify novel regulatory circuits. Results: Robust miRNA markers for clear cell and mucinous histotypes were found. Specifically, the clear cell histotype is characterized by a five-fold (log scale) higher expression of miR-30a and miR-30a*, whereas mucinous histotype has five-fold (log scale) higher levels of miR-192/194. Furthermore, a mucinous-specific regulatory loop involving miR-192/194 cluster and a differential regulation of E2F3 in clear cell histotype were identified. Conclusions: Our findings showed that stage I EOC histotypes have their own characteristic miRNA expression and specific regulatory circuits. Clin Cancer Res; 19(15); 4114–23. ©2013 AACR.
- Published
- 2013
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.