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PTPRT and PTPRD Deleterious Mutations and Deletion Predict Bevacizumab Resistance in Metastatic Colorectal Cancer Patients.
- Source :
- Cancers; Sep2018, Vol. 10 Issue 9, p314, 1p
- Publication Year :
- 2018
-
Abstract
- Background: Bevacizumab-based regimens are used as standard treatments for colorectal cancer. Unfortunately, there are no established predictive markers for bevacizumab response. Methods: Tumor samples from 36 metastatic colorectal cancer patients treated with bevacizumab plus chemotherapy were analyzed by next-generation sequencing of all coding exons of more than 400 genes. Single gene and signaling pathway analyses were performed to correlate genomic data with response. Results: Among the genes most frequently mutated in our cohort, only mutations in PTPRT, a phosphatase involved in JAK/STAT signaling, were associated with response status, with deleterious mutations being enriched in non-responders. Pathway analysis revealed that deleterious mutations in genes of the JAK/STAT pathway, namely in PTPRT and the related gene PTPRD, correlated with resistance. Mutations in RTK/PI3K/RAS, Wnt and TGFβ pathways did not associate with response. Lack of response was observed in all patients with deleterious mutations or copy number loss of PTPRT/PTPRD (n = 10), compared to only 30.8% (n = 8) of patients without such alterations (relative risk, 3.25; 95% CI, 1.83–5.79, p = 0.0003). Similarly, PTPRT/PTPRD deleterious alterations were associated with shorter progression-free survival, an association that was retained in multivariate analysis (HR, 3.33; 95% CI, 1.47–7.54; p = 0.0038). Conclusion: Deleterious alterations in PTPRT/PTPRD are potential biomarkers for bevacizumab resistance. [ABSTRACT FROM AUTHOR]
- Subjects :
- BEVACIZUMAB
BIOMARKERS
CANCER chemotherapy
CELLULAR signal transduction
CONFIDENCE intervals
COLON tumors
DRUG resistance in cancer cells
LONGITUDINAL method
METASTASIS
MULTIVARIATE analysis
GENETIC mutation
PHOSPHATASES
SURVIVAL
RECTUM tumors
RELATIVE medical risk
DISEASE progression
SEQUENCE analysis
ODDS ratio
DIAGNOSIS
PROGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 20726694
- Volume :
- 10
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Cancers
- Publication Type :
- Academic Journal
- Accession number :
- 131962147
- Full Text :
- https://doi.org/10.3390/cancers10090314