Literature DB >> 23558569

The diagnostic utility of TP53 and CDKN2A to distinguish ovarian high-grade serous carcinoma from low-grade serous ovarian tumors.

Alon D Altman1, Gregg S Nelson, Prafull Ghatage, John B McIntyre, David Capper, Pamela Chu, Jill G Nation, Anthony N Karnezis, Guangming Han, Steve E Kalloger, Martin Köbel.   

Abstract

Low-grade serous carcinomas and serous borderline tumors, combined herein and referred to as low-grade serous tumors, show distinct molecular alterations and clinical behaviors compared with high-grade serous carcinomas. The discrimination between low-grade serous tumors and high-grade serous carcinomas can be challenging on small tissue samples, such as cell blocks of paracentesis fluid or biopsies from omental disease. The purpose of this study was to test the ability of TP53 and CDKN2A immunohistochemistry to distinguish between high-grade serous carcinomas and low-grade serous tumors on small tissue samples. Tissue microarrays containing 582 high-grade serous carcinomas, 45 low-grade serous carcinomas, and 49 serous borderline tumors, confirmed by contemporary histopathological review, were stained for TP53 and CDKN2A (DO7 and E6H4 antibody clones, respectively). TP53 was scored as completely absent, wild-type pattern or overexpressed (>60%), and CDKN2A was scored as either negative/patchy (<90%) or block expression (>90%). The combination of the two markers, ie, the TP53 wild-type pattern and CDKN2A patchy expression, had sensitivity for low-grade serous tumors of 89%, a specificity of 93%, a positive predictive value of 68%, and a negative predictive value of 98%. These markers can, therefore, be used on small biopsies/cell blocks to refute a diagnosis of low-grade serous tumors. These findings may inform emerging neoadjuvant therapeutic strategies in advanced ovarian cancers and may be crucial for future clinical trials on molecular-based therapies.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23558569     DOI: 10.1038/modpathol.2013.55

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  12 in total

1.  Lifestyle and Reproductive Factors and Ovarian Cancer Risk by p53 and MAPK Expression.

Authors:  Holly R Harris; Megan S Rice; Amy L Shafrir; Elizabeth M Poole; Mamta Gupta; Jonathan L Hecht; Kathryn L Terry; Shelley S Tworoger
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2017-11-13       Impact factor: 4.254

2.  Insight updating of the molecular hallmarks in ovarian carcinoma.

Authors:  Alba Mota; Sara S Oltra; Gema Moreno-Bueno
Journal:  EJC Suppl       Date:  2020-08-22

3.  Ovarian Carcinoma Histotype: Strengths and Limitations of Integrating Morphology With Immunohistochemical Predictions.

Authors:  Martin Köbel; Li Luo; Xin Grevers; Sandra Lee; Angela Brooks-Wilson; C Blake Gilks; Nhu D Le; Linda S Cook
Journal:  Int J Gynecol Pathol       Date:  2019-07       Impact factor: 2.762

4.  KRAS (but not BRAF) mutations in ovarian serous borderline tumour are associated with recurrent low-grade serous carcinoma.

Authors:  Yvonne T Tsang; Michael T Deavers; Charlotte C Sun; Suet-Yan Kwan; Eric Kuo; Anais Malpica; Samuel C Mok; David M Gershenson; Kwong-Kwok Wong
Journal:  J Pathol       Date:  2013-12       Impact factor: 7.996

5.  Type-specific cell line models for type-specific ovarian cancer research.

Authors:  Michael S Anglesio; Kimberly C Wiegand; Nataliya Melnyk; Christine Chow; Clara Salamanca; Leah M Prentice; Janine Senz; Winnie Yang; Monique A Spillman; Dawn R Cochrane; Karey Shumansky; Sohrab P Shah; Steve E Kalloger; David G Huntsman
Journal:  PLoS One       Date:  2013-09-04       Impact factor: 3.240

6.  Optimized p53 immunohistochemistry is an accurate predictor of TP53 mutation in ovarian carcinoma.

Authors:  Martin Köbel; Anna M Piskorz; Sandra Lee; Shuhong Lui; Cecile LePage; Francesco Marass; Nitzan Rosenfeld; Anne-Marie Mes Masson; James D Brenton
Journal:  J Pathol Clin Res       Date:  2016-07-13

7.  Markers of MEK inhibitor resistance in low-grade serous ovarian cancer: EGFR is a potential therapeutic target.

Authors:  Marta Llaurado Fernandez; Amy Dawson; Joshua Hoenisch; Hannah Kim; Sylvia Bamford; Clara Salamanca; Gabriel DiMattia; Trevor Shepherd; Mattia Cremona; Bryan Hennessy; Shawn Anderson; Stanislav Volik; Colin C Collins; David G Huntsman; Mark S Carey
Journal:  Cancer Cell Int       Date:  2019-01-08       Impact factor: 5.722

8.  Molecular profiling of low grade serous ovarian tumours identifies novel candidate driver genes.

Authors:  Sally M Hunter; Michael S Anglesio; Georgina L Ryland; Raghwa Sharma; Yoke-Eng Chiew; Simone M Rowley; Maria A Doyle; Jason Li; C Blake Gilks; Phillip Moss; Prue E Allan; Andrew N Stephens; David G Huntsman; Anna deFazio; David D Bowtell; Kylie L Gorringe; Ian G Campbell
Journal:  Oncotarget       Date:  2015-11-10

9.  An Immunohistochemical Algorithm for Ovarian Carcinoma Typing.

Authors:  Martin Köbel; Kurosh Rahimi; Peter F Rambau; Christopher Naugler; Cécile Le Page; Liliane Meunier; Manon de Ladurantaye; Sandra Lee; Samuel Leung; Ellen L Goode; Susan J Ramus; Joseph W Carlson; Xiaodong Li; Carol A Ewanowich; Linda E Kelemen; Barbara Vanderhyden; Diane Provencher; David Huntsman; Cheng-Han Lee; C Blake Gilks; Anne-Marie Mes Masson
Journal:  Int J Gynecol Pathol       Date:  2016-09       Impact factor: 2.762

Review 10.  The Evolution of Ovarian Carcinoma Subclassification.

Authors:  Martin Köbel; Eun Young Kang
Journal:  Cancers (Basel)       Date:  2022-01-14       Impact factor: 6.639

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.