Identification of long non-coding RNA expression patterns useful for molecular-based classification of type I endometrial cancers

Maria Ravo, Angela Cordella, Pasquale Saggese, Antonio Rinaldi, Maria Antonietta Castaldi, Giovanni Nassa, Giorgio Giurato, Fulvio Zullo, Alessandro Weisz, Roberta Tarallo, Francesca Rizzo, Maurizio Guida

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

Endometrial cancer is the most frequently diagnosed gynecologic malignant disease. Although several genetic alterations have been associated with the increased risk of endometrial cancer, to date, the diagnosis and prognosis still rely on morphological features of the tumor, such as histological type, grading and invasiveness. As molecular-based classification is desirable for optimal treatment and prognosis of these cancers, we explored the potential of lncRNAs as molecular biomarkers. To this end, we first identified by RNA sequencing (RNA-Seq) a set of lncRNAs differentially expressed in cancer vs. normal endometrial tissues, a result confirmed also by analysis of normal and cancerous endometrium RNA-Seq data from TCGA (The Cancer Genome Atlas). A significant association of a subset of these differentially expressed lncRNAs with tumor grade was then determined in 405 TCGA endometrial cancer profiles. Integrating endometrial cancer-specific expression profiles of long and small non-coding RNAs, a functional association network was then identified. These results describe for the first time a functional core network, comprising small and long RNAs, whose deregulation is associated with endometrial neoplastic transformation, representing a set of cancer biomarkers that can be monitored and targeted for diagnosis, follow-up and therapy of these tumors.

Original languageEnglish
Pages (from-to)1209-1217
Number of pages9
JournalOncology Reports
Volume41
Issue number2
DOIs
Publication statusE-pub ahead of print - Nov 21 2018

Fingerprint

Long Noncoding RNA
Endometrial Neoplasms
Neoplasms
RNA Sequence Analysis
Atlases
Female Genital Diseases
Genome
Small Untranslated RNA
Tumor Biomarkers
Endometrium
Biomarkers
RNA

Keywords

  • Endometrial cancer
  • Functional core regulators
  • LncRNAs
  • Molecular signature
  • Neoplastic transformation

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

Cite this

Ravo, M., Cordella, A., Saggese, P., Rinaldi, A., Castaldi, M. A., Nassa, G., ... Guida, M. (2018). Identification of long non-coding RNA expression patterns useful for molecular-based classification of type I endometrial cancers. Oncology Reports, 41(2), 1209-1217. https://doi.org/10.3892/or.2018.6880

Identification of long non-coding RNA expression patterns useful for molecular-based classification of type I endometrial cancers. / Ravo, Maria; Cordella, Angela; Saggese, Pasquale; Rinaldi, Antonio; Castaldi, Maria Antonietta; Nassa, Giovanni; Giurato, Giorgio; Zullo, Fulvio; Weisz, Alessandro; Tarallo, Roberta; Rizzo, Francesca; Guida, Maurizio.

In: Oncology Reports, Vol. 41, No. 2, 21.11.2018, p. 1209-1217.

Research output: Contribution to journalArticle

Ravo, M, Cordella, A, Saggese, P, Rinaldi, A, Castaldi, MA, Nassa, G, Giurato, G, Zullo, F, Weisz, A, Tarallo, R, Rizzo, F & Guida, M 2018, 'Identification of long non-coding RNA expression patterns useful for molecular-based classification of type I endometrial cancers', Oncology Reports, vol. 41, no. 2, pp. 1209-1217. https://doi.org/10.3892/or.2018.6880
Ravo, Maria ; Cordella, Angela ; Saggese, Pasquale ; Rinaldi, Antonio ; Castaldi, Maria Antonietta ; Nassa, Giovanni ; Giurato, Giorgio ; Zullo, Fulvio ; Weisz, Alessandro ; Tarallo, Roberta ; Rizzo, Francesca ; Guida, Maurizio. / Identification of long non-coding RNA expression patterns useful for molecular-based classification of type I endometrial cancers. In: Oncology Reports. 2018 ; Vol. 41, No. 2. pp. 1209-1217.
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