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Massively parallel sequencing analysis of mucinous ovarian carcinomas: genomic profiling and differential diagnoses.
Mueller, Jennifer J; Schlappe, Brooke A; Kumar, Rahul; Olvera, Narciso; Dao, Fanny; Abu-Rustum, Nadeem; Aghajanian, Carol; DeLair, Deborah; Hussein, Yaser R; Soslow, Robert A; Levine, Douglas A; Weigelt, Britta.
Afiliação
  • Mueller JJ; Department of Surgery, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • Schlappe BA; Department of Surgery, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • Kumar R; Department of Pathology, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • Olvera N; Department of Surgery, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • Dao F; Department of Surgery, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • Abu-Rustum N; Department of Surgery, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • Aghajanian C; Department of Medicine, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • DeLair D; Department of Pathology, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • Hussein YR; Department of Pathology, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • Soslow RA; Department of Pathology, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • Levine DA; Department of Surgery, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA.
  • Weigelt B; Department of Pathology, Memorial Sloan Kettering Cancer Center, Medical Center, New York, NY, USA. Electronic address: weigeltb@mskcc.org.
Gynecol Oncol ; 150(1): 127-135, 2018 07.
Article em En | MEDLINE | ID: mdl-29793804
OBJECTIVE: Mucinous ovarian cancer (MOC) is a rare type of epithelial ovarian cancer resistant to standard chemotherapy regimens. We sought to characterize the repertoire of somatic mutations in MOCs and to define the contribution of massively parallel sequencing to the classification of tumors diagnosed as primary MOCs. METHODS: Following gynecologic pathology and chart review, DNA samples obtained from primary MOCs and matched normal tissues/blood were subjected to whole-exome (n = 9) or massively parallel sequencing targeting 341 cancer genes (n = 15). Immunohistochemical analysis of estrogen receptor, progesterone receptor, PTEN, ARID1A/BAF250a, and the DNA mismatch (MMR) proteins MSH6 and PMS2 was performed for all cases. Mutational frequencies of MOCs were compared to those of high-grade serous ovarian cancers (HGSOCs) and mucinous tumors from other sites. RESULTS: MOCs were heterogeneous at the genetic level, frequently harboring TP53 (75%) mutations, KRAS (71%) mutations and/or CDKN2A/B homozygous deletions/mutations (33%). Although established criteria for diagnosis were employed, four cases harbored mutational and immunohistochemical profiles similar to those of endometrioid carcinomas, and one case for colorectal or endometrioid carcinoma. Significant differences in the frequencies of KRAS, TP53, CDKN2A, FBXW7, PIK3CA and/or APC mutations between the confirmed primary MOCs (n = 19) and HGSOCs, mucinous gastric and/or mucinous colorectal carcinomas were found, whereas no differences in the 341 genes studied between MOCs and mucinous pancreatic carcinomas were identified. CONCLUSIONS: Our findings suggest that the assessment of mutations affecting TP53, KRAS, PIK3CA, ARID1A and POLE, and DNA MMR protein expression may be used to further aid the diagnosis and treatment decision-making of primary MOC.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Imuno-Histoquímica / Genômica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Imuno-Histoquímica / Genômica Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2018 Tipo de documento: Article