Genomic and Epigenomic Profile of Uterine Smooth Muscle Tumors of Uncertain Malignant Potential (STUMPs) Revealed Similarities and Differences with Leiomyomas and Leiomyosarcomas.

Donatella Conconi, Serena Redaelli, Andrea Alberto Lissoni, Chiara Cilibrasi, Patrizia Perego, Eugenio Gautiero, Elena Sala, Mariachiara Paderno, Leda Dalprà, Fabio Landoni, Marialuisa Lavitrano, Gaia Roversi, Angela Bentivegna
Author Information
  1. Donatella Conconi: School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy. ORCID
  2. Serena Redaelli: School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy. ORCID
  3. Andrea Alberto Lissoni: School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
  4. Chiara Cilibrasi: Department of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Falmer, Brighton BN1 9RH, UK.
  5. Patrizia Perego: Division of Pathology, San Gerardo Hospital, 20900 Monza, Italy.
  6. Eugenio Gautiero: Medical Genetics Laboratory, San Gerardo Hospital, 20900 Monza, Italy.
  7. Elena Sala: Medical Genetics Laboratory, San Gerardo Hospital, 20900 Monza, Italy.
  8. Mariachiara Paderno: School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
  9. Leda Dalprà: School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
  10. Fabio Landoni: School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
  11. Marialuisa Lavitrano: School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy. ORCID
  12. Gaia Roversi: School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
  13. Angela Bentivegna: School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy. ORCID

Abstract

Uterine smooth muscle tumors of uncertain malignant potential (STUMPs) represent a heterogeneous group of tumors that cannot be histologically diagnosed as unequivocally benign or malignant. For this reason, many authors are working to obtain a better definition of diagnostic and prognostic criteria. In this work, we analyzed the genomic and epigenomic profile of uterine smooth muscle tumors (USMTs) in order to find similarities and differences between STUMPs, leiomyosarcomas (LMSs) and leiomyomas (LMs), and possibly identify prognostic factors in this group of tumors. Array-CGH data on 23 USMTs demonstrated the presence of a more similar genomic profile between STUMPs and LMSs. Some genes, such as and , with a potential prognostic value, were never previously associated with STUMP. The methylation data appears to be very promising, especially with regards to the divergent profile found in the sample that relapsed, characterized by an overall CGI hypomethylation. Finally, the Gene Ontology analysis highlighted some cancer genes that could play a pivotal role in the unexpected aggressive behavior that can be found in some of these tumors. These genes could prove to be prognostic markers in the future.

Keywords

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Grants

  1. 2016-ATE-0511/Università degli Studi di Milano-Bicocca

MeSH Term

Adult
Aged
Biomarkers, Tumor
Case-Control Studies
DNA Methylation
Epigenomics
Female
Follow-Up Studies
Gene Expression Regulation, Neoplastic
Genomics
Humans
Leiomyoma
Leiomyosarcoma
Middle Aged
Prognosis
Smooth Muscle Tumor
Uterine Neoplasms

Chemicals

Biomarkers, Tumor

Word Cloud

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