The incidence of endometrial cancer (EC) is increasing in developed countries. The most frequent is the endometrioid subtype with usually good prognosis; nevertheless, some cases escape this paradigm and may have recurrence. A recent study from The Cancer Genome Atlas suggested to implement the EC analysis by molecular profile for improving diagnosis, prognosis, and therapeutic treatment. The present preliminary study was performed on 15 G3 endometrioid endometrial cancers (G3 EEC) for the identification of somatic mutations in a panel of specific exons in selected genes as ARID1A, CTNNB1, KRAS, PIK3CA, POLE, PTEN, and TP53. The combined procedure, based on the Sanger sequencing and PCR-high-resolution melting analysis, allowed the identification of variations of the selected gene panel in most of patients (93%) of our cohort. The overall evaluation of mutational load exhibited that the most frequent mutated genes were PTEN (93%), followed by PIK3CA (47%) suggesting a deep involvement of PI3K pathway alteration in G3 EEC. Mutations in TP53 (27%), ARID1A (27%), POLE (13%), and at the lower level in KRAS and CTNNB1 (7%) were also observed (exclusively in FIGO III stage patients). The evaluation of the mutations of our proposed panel (ARID1A, CTNNB1, KRAS, PIK3CA, POLE, PTEN, TP53) is suitable to improve the characterization of G3 EEC and could suggest targetable pathways for development of personalized treatments.

Identification of a Gene Panel for Endometrioid Endometrial Cancer: a Possible Prognostic Value? / Malentacchi F, Turrini I, Sorbi F, Projetto E, Castiglione F, Vergoni F, Amunni G, Fambrini M, Petraglia F, Noci I, Pillozzi S. - In: REPRODUCTIVE SCIENCES. - ISSN 1933-7205. - ELETTRONICO. - 27:(2020), pp. 592-598. [10.1007/s43032-019-00059-8]

Identification of a Gene Panel for Endometrioid Endometrial Cancer: a Possible Prognostic Value?

Malentacchi F;Sorbi F
Conceptualization
;
Projetto E;Amunni G;Fambrini M;Petraglia F;Pillozzi S
2020

Abstract

The incidence of endometrial cancer (EC) is increasing in developed countries. The most frequent is the endometrioid subtype with usually good prognosis; nevertheless, some cases escape this paradigm and may have recurrence. A recent study from The Cancer Genome Atlas suggested to implement the EC analysis by molecular profile for improving diagnosis, prognosis, and therapeutic treatment. The present preliminary study was performed on 15 G3 endometrioid endometrial cancers (G3 EEC) for the identification of somatic mutations in a panel of specific exons in selected genes as ARID1A, CTNNB1, KRAS, PIK3CA, POLE, PTEN, and TP53. The combined procedure, based on the Sanger sequencing and PCR-high-resolution melting analysis, allowed the identification of variations of the selected gene panel in most of patients (93%) of our cohort. The overall evaluation of mutational load exhibited that the most frequent mutated genes were PTEN (93%), followed by PIK3CA (47%) suggesting a deep involvement of PI3K pathway alteration in G3 EEC. Mutations in TP53 (27%), ARID1A (27%), POLE (13%), and at the lower level in KRAS and CTNNB1 (7%) were also observed (exclusively in FIGO III stage patients). The evaluation of the mutations of our proposed panel (ARID1A, CTNNB1, KRAS, PIK3CA, POLE, PTEN, TP53) is suitable to improve the characterization of G3 EEC and could suggest targetable pathways for development of personalized treatments.
2020
27
592
598
Goal 3: Good health and well-being for people
Malentacchi F, Turrini I, Sorbi F, Projetto E, Castiglione F, Vergoni F, Amunni G, Fambrini M, Petraglia F, Noci I, Pillozzi S
File in questo prodotto:
File Dimensione Formato  
IdentificationofaGenePanelforEndometrioidEndometrialCancer-aPossiblePrognosticValue.pdf

Accesso chiuso

Descrizione: Articolo principale
Tipologia: Versione finale referata (Postprint, Accepted manuscript)
Licenza: Tutti i diritti riservati
Dimensione 694.85 kB
Formato Adobe PDF
694.85 kB Adobe PDF   Richiedi una copia

I documenti in FLORE sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1187317
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 8
social impact