Morphologic patterns associated with BRCA1 and BRCA2 genotype in ovarian carcinoma Journal Article


Authors: Soslow, R. A.; Han, G.; Park, K. J.; Garg, K.; Olvera, N.; Spriggs, D. R.; Kauff, N. D.; Levine, D. A.
Article Title: Morphologic patterns associated with BRCA1 and BRCA2 genotype in ovarian carcinoma
Abstract: This study was undertaken with the hypothesis that certain common morphologic features of ovarian carcinomas are predictably associated with BRCA1 and BRCA2 deficiencies. We selected 43 high-grade serous carcinomas diagnosed at Memorial Sloan-Kettering Cancer Center that were studied as part of The Cancer Genome Atlas pilot project. In addition to 12 randomly selected nonfamilial BRCA-unassociated cases, all 31 Memorial Sloan-Kettering Cancer Center cases with BRCA1 or BRCA2 abnormality were included (n43). Slides were examined to assess tumor architecture, mitotic index, tumor-infiltrating lymphocytes (TILs), nuclear pleomorphism, necrosis, and involvement of fallopian tube epithelium. Comparing BRCA1-associated cases (BRCA1 germline mutation, n4, BRCA1 somatic mutation, n6, BRCA1 promoter methylation, n13) with unassociated cases (n12) identified statistically significant differences in morphology. BRCA1-associated high-grade serous carcinomas had more frequent Solid, pseudoEndometrioid, and Transitional cell carcinoma-like morphology (SET features) (P<0.0045), higher mitotic indexes (P<0.012), more TILs (P<0.034), and either geographic or comedo necrosis (P<0.034). BRCA2-associated cases (germline mutation, n4 and somatic mutation, n4) tended to show SET features, but they were relatively deficient in TILs and necrosis. Two algorithms incorporating tumor architecture, necrosis, and either mitotic indexes or TILs separated cases that showed 2 of 3 features (BRCA1 associated) from those with 0 of 3 features (BRCA unassociated; P<0.0016 and P<0.0033). A test set comprising 9 BRCA1 germline mutants and 14 high-grade serous carcinoma controls lacking BRCA1 and BRCA2 germline mutation was used to validate the algorithms, with specific emphasis on the ability to detect cases with BRCA1 germline mutation. Best results were obtained with the algorithm that incorporated SET features, necrosis, and mitotic index (P<0.0072; sensitivity of 1.0 (95% CI, 0.66-1.0); specificity of 0.57 (95% CI, 0.29-0.82); positive predictive value of 0.60 (95% CI, 0.32-0.84) and a negative predictive value of 1.0 (95% CI, 0.63-1.0)). These preliminary data indicate potential strong associations between morphology and genotype in high-grade serous carcinomas. © 2012 USCAP, Inc. All rights reserved.
Keywords: clinical article; controlled study; human tissue; gene mutation; promoter region; somatic mutation; mutation; case-control studies; cancer diagnosis; endometrioid carcinoma; sensitivity and specificity; tumor associated leukocyte; lymphocytes, tumor-infiltrating; ovarian neoplasms; phenotype; genetic predisposition to disease; genetic association; genotype; brca1 protein; brca2 protein; algorithms; necrosis; information processing; dna methylation; prediction; morphology; tissue section; cancer center; disease severity; statistical significance; algorithm; pilot study; promoter regions, genetic; carcinoma; ovary carcinoma; predictive value of tests; new york city; genome; cell nucleus; dna mutational analysis; randomization; brca; transitional cell carcinoma; predictive value; serous carcinoma; uterine tube; fallopian tubes; hypothesis; tumor necrosis; mitosis index; mitotic index; tumor infiltrating lymphocytes; neoplasm grading; hereditary ovarian cancer
Journal Title: Modern Pathology
Volume: 25
Issue: 4
ISSN: 0893-3952
Publisher: Nature Research  
Date Published: 2012-04-01
Start Page: 625
End Page: 636
Language: English
DOI: 10.1038/modpathol.2011.183
PUBMED: 22193042
PROVIDER: scopus
DOI/URL:
Notes: --- - "Cited By (since 1996): 3" - "Export Date: 24 August 2012" - "CODEN: MODPE" - "Source: Scopus"
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MSK Authors
  1. Noah Kauff
    128 Kauff
  2. Douglas A Levine
    380 Levine
  3. Deborah A Levine
    5 Levine
  4. Kay Jung Park
    308 Park
  5. Robert Soslow
    797 Soslow
  6. David R Spriggs
    325 Spriggs
  7. Narciso Olvera
    73 Olvera
  8. Karuna Garg
    76 Garg