Literature DB >> 35658479

TP53 Sequencing and p53 Immunohistochemistry Predict Outcomes When Bevacizumab Is Added to Frontline Chemotherapy in Endometrial Cancer: An NRG Oncology/Gynecologic Oncology Group Study.

Kristina W Thiel1, Eric J Devor1, Virginia L Filiaci2, David Mutch3, Katherine Moxley4, Angeles Alvarez Secord5, Krishnansu S Tewari6, Megan E McDonald1, Cara Mathews7, Casey Cosgrove8, Summer Dewdney9, Carol Aghajanian10, Megan I Samuelson1, Heather A Lankes11, Robert A Soslow12, Kimberly K Leslie1,12.   

Abstract

PURPOSE: The status of p53 in a tumor can be inferred by next-generation sequencing (NGS) or by immunohistochemistry (IHC). We examined the association between p53 IHC and sequence and whether p53 IHC alone, or integrated with TP53 NGS, predicts the outcome.
METHODS: From GOG-86P, a randomized phase II study of chemotherapy combined with either bevacizumab or temsirolimus in advanced endometrial cancer, 213 cases had p53 protein expression data measured by IHC and TP53 NGS data. An analysis was designed to integrate p53 expression by IHC with the presence or absence of a TP53 mutation. These variables were further correlated with progression-free survival (PFS) and overall survival (OS) in the chemotherapy plus bevacizumab arms versus the chemotherapy plus temsirolimus arm.
RESULTS: In the analysis of p53 IHC, the most striking treatment effect favoring bevacizumab was in cases where p53 was overexpressed (PFS hazard ratio [HR]: 0.46, 95% CI, 0.26 to 0.88; OS HR: 0.31, 95% CI, 0.16 to 0.62). On integrated analysis, patients with TP53 missense mutations and p53 protein overexpression had a similar treatment effect on PFS (HR: 0.41, 95% CI, 0.22 to 0.83) and OS (HR: 0.28, 95% CI, 0.14 to 0.59) favoring bevacizumab plus chemotherapy relative to temsirolimus plus chemotherapy. Concordance between TP53 NGS and p53 IHC was 88%. Concordance was 92% when cases with TP53 mutations and POLE mutations or mismatch repair deficiency were removed.
CONCLUSION: IHC for p53 alone or when integrated with sequencing for TP53 identifies a specific, high-risk tumor genotype/phenotype for which bevacizumab is particularly beneficial in improving outcomes when combined with chemotherapy.

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Year:  2022        PMID: 35658479      PMCID: PMC9553389          DOI: 10.1200/JCO.21.02506

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   50.717


  27 in total

1.  A phase II study of frontline paclitaxel/carboplatin/bevacizumab, paclitaxel/carboplatin/temsirolimus, or ixabepilone/carboplatin/bevacizumab in advanced/recurrent endometrial cancer.

Authors:  Carol Aghajanian; Virginia Filiaci; Don S Dizon; Jay W Carlson; Matthew A Powell; Angeles Alvarez Secord; Krishnansu S Tewari; David P Bender; David M O'Malley; Ashley Stuckey; JianJiong Gao; Fanny Dao; Robert A Soslow; Heather A Lankes; Kathleen Moore; Douglas A Levine
Journal:  Gynecol Oncol       Date:  2018-05-24       Impact factor: 5.482

2.  Distant metastases in ovarian cancer: association with p53 mutations.

Authors:  A K Sood; J I Sorosky; M Dolan; B Anderson; R E Buller
Journal:  Clin Cancer Res       Date:  1999-09       Impact factor: 12.531

3.  Consequences of the loss of p53, RB1, and PTEN: relationship to gefitinib resistance in endometrial cancer.

Authors:  Lina Albitar; Mark B Carter; Suzy Davies; Kimberly K Leslie
Journal:  Gynecol Oncol       Date:  2007-05-08       Impact factor: 5.482

4.  Gain of function mutations in p53.

Authors:  D Dittmer; S Pati; G Zambetti; S Chu; A K Teresky; M Moore; C Finlay; A J Levine
Journal:  Nat Genet       Date:  1993-05       Impact factor: 38.330

5.  Improved Risk Assessment by Integrating Molecular and Clinicopathological Factors in Early-stage Endometrial Cancer-Combined Analysis of the PORTEC Cohorts.

Authors:  Ellen Stelloo; Remi A Nout; Elisabeth M Osse; Ina J Jürgenliemk-Schulz; Jan J Jobsen; Ludy C Lutgens; Elzbieta M van der Steen-Banasik; Hans W Nijman; Hein Putter; Tjalling Bosse; Carien L Creutzberg; Vincent T H B M Smit
Journal:  Clin Cancer Res       Date:  2016-03-22       Impact factor: 12.531

6.  p53 immunohistochemistry is an accurate surrogate for TP53 mutational analysis in endometrial carcinoma biopsies.

Authors:  Naveena Singh; Anna M Piskorz; Tjalling Bosse; Mercedes Jimenez-Linan; Brian Rous; James D Brenton; C Blake Gilks; Martin Köbel
Journal:  J Pathol       Date:  2020-01-29       Impact factor: 7.996

7.  Mutated p53 portends improvement in outcomes when bevacizumab is combined with chemotherapy in advanced/recurrent endometrial cancer: An NRG Oncology study.

Authors:  Kimberly K Leslie; Virginia L Filiaci; Adrianne R Mallen; Kristina W Thiel; Eric J Devor; Katherine Moxley; Debra Richardson; David Mutch; Angeles Alvarez Secord; Krishnansu S Tewari; Megan E McDonald; Cara Mathews; Casey Cosgrove; Summer Dewdney; Yovanni Casablanca; Amanda Jackson; Peter G Rose; XunClare Zhou; Michael McHale; Heather Lankes; Douglas A Levine; Carol Aghajanian
Journal:  Gynecol Oncol       Date:  2021-02-02       Impact factor: 5.482

8.  TP53 oncomorphic mutations predict resistance to platinum‑ and taxane‑based standard chemotherapy in patients diagnosed with advanced serous ovarian carcinoma.

Authors:  Pavla Brachova; Samuel R Mueting; Matthew J Carlson; Michael J Goodheart; Anna M Button; Sarah L Mott; Donghai Dai; Kristina W Thiel; Eric J Devor; Kimberly K Leslie
Journal:  Int J Oncol       Date:  2014-11-11       Impact factor: 5.650

9.  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

Review 10.  The consequence of oncomorphic TP53 mutations in ovarian cancer.

Authors:  Pavla Brachova; Kristina W Thiel; Kimberly K Leslie
Journal:  Int J Mol Sci       Date:  2013-09-23       Impact factor: 5.923

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