Literature DB >> 31335355

p53, Mismatch Repair Protein, and POLE Abnormalities in Ovarian Clear Cell Carcinoma: An Outcome-based Clinicopathologic Analysis.

Carlos Parra-Herran1,2, Dina Bassiouny1,3, Jordan Lerner-Ellis2,4, Ekaterina Olkhov-Mitsel1, Nadia Ismiil1,2, Liat Hogen5,6, Danielle Vicus5,7, Sharon Nofech-Mozes1,2.   

Abstract

The PROMISE diagnostic algorithm, which uses p53, mismatch repair (MMR) protein immunohistochemistry, and DNA polymerase ε (POLE) exonuclease domain mutation testing, is a reliable surrogate of the molecular group in endometrial carcinoma. Its prognostic value has been validated in endometrial carcinoma and ovarian endometrioid carcinoma. Moreover, a similar prognostic grouping has been recently documented in endometrial clear cell carcinoma. Thus, we aimed to explore the role of these markers in ovarian clear cell carcinoma, another endometriosis-associated malignancy. A total of 90 cases were identified and confirmed after secondary review. Immunohistochemistry for p53, MLH1, MSH2, MSH6, and PMS2 was performed in formalin-fixed, paraffin-embedded tissue. POLE mutational analysis was performed in 47 cases. Results were correlated with clinicopathologic variables including disease-free survival (DFS), overall survival, and disease-specific survival (DSS). Endometriosis was found in 67 (74%) cases. Six (7%) tumors were p53 abnormal, 82 (91%) were p53 normal, and 2 (2%) tumors had MMR deficiency (1 MSH6 loss and 1 MSH2/6 loss; both were p53 normal). Several POLE variants of unknown significance were detected, but no pathogenic mutations. The mean follow-up period was 43 months (median: 34, range: 1 to 189). Abnormal p53 status was associated with advanced Federation of Gynecology and Obstetrics stage, lymph node metastases, DFS and DSS (P<0.05, Fisher exact test). In univariate analysis, abnormal p53 and positive lymph node status had worse DFS, whereas bilaterality, surface involvement, and advanced stage were associated with worse DFS, overall survival and DSS (P<0.05, Cox regression). On multivariate analysis, only stage retained statistical association with survival. Using a molecular-based approach designed for endometrial carcinoma, most ovarian clear cell carcinomas fall into the copy-number-low molecular subgroup. However, a small but important subset has an abnormal p53 expression (copy-number-high group). This subset is associated with adverse features including extrapelvic disease, nodal metastases, and recurrence similar to endometrial and ovarian endometrioid cancer. Thus, testing for this marker has potential prognostic significance. The role of other markers in the PROMISE algorithm remains to be elucidated, as we found a low frequency of MMR abnormalities and no pathogenic POLE mutations in our series.

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Year:  2019        PMID: 31335355     DOI: 10.1097/PAS.0000000000001328

Source DB:  PubMed          Journal:  Am J Surg Pathol        ISSN: 0147-5185            Impact factor:   6.394


  8 in total

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2.  LEMD1-AS1 Suppresses Ovarian Cancer Progression Through Regulating miR-183-5p/TP53 Axis.

Authors:  Ruowen Guo; Yide Qin
Journal:  Onco Targets Ther       Date:  2020-07-28       Impact factor: 4.147

3.  The frequency and clinical implication of mismatch repair protein deficiency in Chinese patients with ovarian clear cell carcinoma.

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4.  Differential roles of the Wip1-p38-p53 DNA damage response pathway in early/advanced-stage ovarian clear cell carcinomas.

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5.  Next-Generation Sequencing Reveals a Very Low Prevalence of Deleterious Mutations of Homologous Recombination Repair Genes and Homologous Recombination Deficiency in Ovarian Clear Cell Carcinoma.

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6.  Expert consensus on the clinical application of recombinant adenovirus human p53 for head and neck cancers.

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Review 7.  Three-Dimensional Modelling of Ovarian Cancer: From Cell Lines to Organoids for Discovery and Personalized Medicine.

Authors:  Christine Yee; Kristie-Ann Dickson; Mohammed N Muntasir; Yue Ma; Deborah J Marsh
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8.  The prevalence of mismatch repair deficiency in ovarian cancer: A systematic review and meta-analysis.

Authors:  Amit Atwal; Tristan Snowsill; Marcus Cabrera Dandy; Thomas Krum; Claire Newton; Dafydd Gareth Evans; Emma J Crosbie; Neil A J Ryan
Journal:  Int J Cancer       Date:  2022-07-06       Impact factor: 7.316

  8 in total

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