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. 1. Department of Obstetrics and Gynecology, University of Iowa, Iowa City, IA. 2. NRG Oncology, Clinical Trial Development Division, Biostatistics & Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY. 3. Washington University School of Medicine, Siteman Cancer Center, St Louis, MO. 4. Stephenson Cancer Center, Gynecologic Cancers Clinic, University of Oklahoma Health Sciences Center, Oklahoma City, OK. 5. Duke University Institute, Duke University Health System, Durham, NC. 6. University of California Irvine Medical Center, Irvine, CA. 7. Women and Infants Hospital in Rhode Island/The Warren Alpert Medical School of Brown University, Providence, RI. 8. Ohio State University Medical Center, James Cancer Hospital and Solove Research Institute, Obstetrics and Gynecology, Columbus, OH. 9. Rush University Medical Center, Gynecology, Chicago, IL. 10. Memorial Sloan Kettering Cancer and Weill Cornell Medical Center, New York, NY. 11. Biopathology Center, The Research Institute at Nationwide Children's Hospital, Columbus, OH. 12. The University of New Mexico Health Sciences Center, Albuquerque, NM.
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.
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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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
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