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Molecular prognostication of uterine smooth muscle neoplasms: From CGH array to CINSARC signature and beyond.
Croce, Sabrina; Chibon, Frédéric.
Afiliação
  • Croce S; Department of Biopathology, Institut Bergonié, Comprehensive Cancer Center, Bordeaux, France.
  • Chibon F; INSERM U1218, Bordeaux, France.
Genes Chromosomes Cancer ; 60(3): 129-137, 2021 03.
Article em En | MEDLINE | ID: mdl-33099852
Uterine leiomyoma and leiomyosarcoma are located at the ends of the spectrum of smooth muscle lesions. Leiomyosarcoma belongs to the complex genomic sarcomas characterized by complex karyotypes. In contrast, leiomyoma, has a low level of chromosomal complexity. The analysis of genomic profiles of uterine smooth muscle tumors shows that genomic complexity, which is an expression of chromosomal instability, correlates with the metastatic potential and malignity of tumors: the more genetically complex a smooth muscle tumor is, the more malignant is its progression. In uterine tumors with uncertain malignant potential, the assessment of genomic index by CGH array, that is, counting the genomic complexity of a tumor, allows tumors with a risk of recurrence such as leiomyosarcomas to be distinguished from benign tumors like leiomyomas. The prognosis of leiomyosarcoma is poor and the most powerful prognostic factor so far is stage, as the histologic grade is not informative. In the quest to find efficient molecular prognostic factors, the transcriptomic signature CINSARC Nanocind, a mirror of chromosomic complexity and instability, outperforms stage, in both overall and recurrence-free survival. Genomic index and the CINSARC signature will contribute to improving diagnoses, therapeutic strategies, and randomization in future clinical trials. The biological understanding of the links between the CINSARC signature and metastatic mechanisms may lead to the development of new drugs. Furthermore, ctDNA is a promising new technique to detect residual disease and early recurrence.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Uterinas Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Genes Chromosomes Cancer Assunto da revista: BIOLOGIA MOLECULAR / NEOPLASIAS Ano de publicação: 2021 Tipo de documento: Article País de afiliação: França

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Uterinas Tipo de estudo: Clinical_trials / Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Revista: Genes Chromosomes Cancer Assunto da revista: BIOLOGIA MOLECULAR / NEOPLASIAS Ano de publicação: 2021 Tipo de documento: Article País de afiliação: França