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TP53 DNA Binding Domain Mutations Predict Progression-Free Survival of Bevacizumab Therapy in Metastatic Colorectal Cancer

(1) Background: Bevacizumab-based regimens are a standard treatment for metastatic colorectal cancer (mCRC) patients, however meaningful clinical biomarkers for treatment benefit remain scarce. (2) Methods: Tumor samples from 36 mCRC patients treated with bevacizumab-based chemotherapy underwent com...

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Autores principales: Hsu, Hung-Chih, You, Jeng-Fu, Chen, Shu-Jen, Chen, Hua-Chien, Yeh, Chien-Yuh, Tsai, Wen-Sy, Hung, Hsin-Yuan, Yang, Tsai-Sheng, Lapke, Nina, Tan, Kien Thiam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721375/
https://www.ncbi.nlm.nih.gov/pubmed/31366114
http://dx.doi.org/10.3390/cancers11081079
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author Hsu, Hung-Chih
You, Jeng-Fu
Chen, Shu-Jen
Chen, Hua-Chien
Yeh, Chien-Yuh
Tsai, Wen-Sy
Hung, Hsin-Yuan
Yang, Tsai-Sheng
Lapke, Nina
Tan, Kien Thiam
author_facet Hsu, Hung-Chih
You, Jeng-Fu
Chen, Shu-Jen
Chen, Hua-Chien
Yeh, Chien-Yuh
Tsai, Wen-Sy
Hung, Hsin-Yuan
Yang, Tsai-Sheng
Lapke, Nina
Tan, Kien Thiam
author_sort Hsu, Hung-Chih
collection PubMed
description (1) Background: Bevacizumab-based regimens are a standard treatment for metastatic colorectal cancer (mCRC) patients, however meaningful clinical biomarkers for treatment benefit remain scarce. (2) Methods: Tumor samples from 36 mCRC patients treated with bevacizumab-based chemotherapy underwent comprehensive genomic profiling. Alterations in frequently altered genes and important signaling pathways were correlated with progression-free survival (PFS). (3) Results: Overall genetic alteration analysis of investigated genes and pathways did not identify promising new predictors of PFS. However, when considering mutation subtypes, TP53 DNA binding domain (DBD) missense mutations were associated with prolonged PFS (HR, 0.41; 95% CI, 0.13−0.65; p = 0.005). In contrast, TP53 truncating mutations were associated with short PFS (HR, 2.95; 95% CI, 1.45−27.50; p = 0.017). Importantly, neither TP53 mutation subtype was associated with overall response rate. In multivariate analysis, TP53 DBD missense mutations remained an independent PFS predictor (HR, 0.31; 95% CI, 0.13–0.77; p = 0.011). The other genetic factor independently associated with PFS were PTPRT/PTPRD deleterious alterations, which we previously identified in a screen for biomarkers of bevacizumab response. (4) Conclusions: TP53 DBD missense mutations may predict prolonged PFS in mCRC patients treated with bevacizumab-based therapy. Analyses of TP53 mutations as clinical biomarkers should take the biological impact of different mutation subtypes into consideration to improve patient stratification.
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spelling pubmed-67213752019-09-10 TP53 DNA Binding Domain Mutations Predict Progression-Free Survival of Bevacizumab Therapy in Metastatic Colorectal Cancer Hsu, Hung-Chih You, Jeng-Fu Chen, Shu-Jen Chen, Hua-Chien Yeh, Chien-Yuh Tsai, Wen-Sy Hung, Hsin-Yuan Yang, Tsai-Sheng Lapke, Nina Tan, Kien Thiam Cancers (Basel) Article (1) Background: Bevacizumab-based regimens are a standard treatment for metastatic colorectal cancer (mCRC) patients, however meaningful clinical biomarkers for treatment benefit remain scarce. (2) Methods: Tumor samples from 36 mCRC patients treated with bevacizumab-based chemotherapy underwent comprehensive genomic profiling. Alterations in frequently altered genes and important signaling pathways were correlated with progression-free survival (PFS). (3) Results: Overall genetic alteration analysis of investigated genes and pathways did not identify promising new predictors of PFS. However, when considering mutation subtypes, TP53 DNA binding domain (DBD) missense mutations were associated with prolonged PFS (HR, 0.41; 95% CI, 0.13−0.65; p = 0.005). In contrast, TP53 truncating mutations were associated with short PFS (HR, 2.95; 95% CI, 1.45−27.50; p = 0.017). Importantly, neither TP53 mutation subtype was associated with overall response rate. In multivariate analysis, TP53 DBD missense mutations remained an independent PFS predictor (HR, 0.31; 95% CI, 0.13–0.77; p = 0.011). The other genetic factor independently associated with PFS were PTPRT/PTPRD deleterious alterations, which we previously identified in a screen for biomarkers of bevacizumab response. (4) Conclusions: TP53 DBD missense mutations may predict prolonged PFS in mCRC patients treated with bevacizumab-based therapy. Analyses of TP53 mutations as clinical biomarkers should take the biological impact of different mutation subtypes into consideration to improve patient stratification. MDPI 2019-07-30 /pmc/articles/PMC6721375/ /pubmed/31366114 http://dx.doi.org/10.3390/cancers11081079 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hsu, Hung-Chih
You, Jeng-Fu
Chen, Shu-Jen
Chen, Hua-Chien
Yeh, Chien-Yuh
Tsai, Wen-Sy
Hung, Hsin-Yuan
Yang, Tsai-Sheng
Lapke, Nina
Tan, Kien Thiam
TP53 DNA Binding Domain Mutations Predict Progression-Free Survival of Bevacizumab Therapy in Metastatic Colorectal Cancer
title TP53 DNA Binding Domain Mutations Predict Progression-Free Survival of Bevacizumab Therapy in Metastatic Colorectal Cancer
title_full TP53 DNA Binding Domain Mutations Predict Progression-Free Survival of Bevacizumab Therapy in Metastatic Colorectal Cancer
title_fullStr TP53 DNA Binding Domain Mutations Predict Progression-Free Survival of Bevacizumab Therapy in Metastatic Colorectal Cancer
title_full_unstemmed TP53 DNA Binding Domain Mutations Predict Progression-Free Survival of Bevacizumab Therapy in Metastatic Colorectal Cancer
title_short TP53 DNA Binding Domain Mutations Predict Progression-Free Survival of Bevacizumab Therapy in Metastatic Colorectal Cancer
title_sort tp53 dna binding domain mutations predict progression-free survival of bevacizumab therapy in metastatic colorectal cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6721375/
https://www.ncbi.nlm.nih.gov/pubmed/31366114
http://dx.doi.org/10.3390/cancers11081079
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