Dataset Information

Mutation Status of RAS, TP53, and SMAD4 is Superior to Mutation Status of RAS Alone for Predicting Prognosis after Resection of Colorectal Liver Metastases.

ABSTRACT: PURPOSE:Somatic gene mutations have been increasingly recognized to impact prognosis following resection of colorectal liver metastases (CLM). We aimed to determine the impact of combinations of somatic mutations on survival in patients undergoing CLM resection. EXPERIMENTAL DESIGN:We identified patients who underwent initial CLM resection during 2007-2017 and had genetic sequencing data available. Risk factors for overall survival (OS) and recurrence-free survival (RFS) were determined using Cox proportional hazards models. RESULTS:Of 1460 patients who underwent CLM resection during the study period, 507 met the inclusion criteria. Multigene testing revealed mutation rates greater than 10% for TP53 (mutated in 70.8% of patients), APC (53.5%), RAS (50.7%), PIK3CA (15.8%), and SMAD4 (11.0%). BRAF was mutated in 2.0% of patients. BRAF, RAS, TP53, and SMAD4 mutations were significantly associated with OS, and RAS, TP53, and SMAD4 mutations were significantly associated with RFS. Coexisting mutations in RAS, TP53, and SMAD4 were associated with significantly worse OS and RFS than coexisting mutations in any 2 of these genes and mutations in 1 or none of these genes. Coexisting mutations in 2 genes conferred significantly worse OS and RFS than single mutation or no mutations. OS and RFS did not differ significantly between patients with RAS mutation and wild-type TP53 and SMAD4 and patients with wild-type RAS (P = 0.858 and 0.729, respectively). CONCLUSIONS:RAS mutation status alone is not sufficient for precisely predicting prognosis after CLM resection.

SUBMITTER: Kawaguchi Y

PROVIDER: S-EPMC6774854 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Mutation Status of <i>RAS, TP53</i>, and <i>SMAD4</i> is Superior to Mutation Status of <i>RAS</i> Alone for Predicting Prognosis after Resection of Colorectal Liver Metastases.

Kawaguchi Yoshikuni Y Kopetz Scott S Newhook Timothy E TE De Bellis Mario M Chun Yun Shin YS Tzeng Ching-Wei D CD Aloia Thomas A TA Vauthey Jean-Nicolas JN

Clinical cancer research : an official journal of the American Association for Cancer Research 20190620 19

<h4>Purpose</h4>Somatic gene mutations have been increasingly recognized to impact prognosis following resection of colorectal liver metastases (CLM). We aimed to determine the impact of combinations of somatic mutations on survival in patients undergoing CLM resection.<h4>Experimental design</h4>We identified patients who underwent initial CLM resection during 2007-2017 and had genetic sequencing data available. Risk factors for overall survival (OS) and recurrence-free survival (RFS) were dete ...[more]

PMID: 31221662

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Project description:BackgroundMost current models for predicting survival after resection of colorectal liver metastasis include largest diameter and number of colorectal liver metastases as dichotomous variables, resulting in underestimation of the extent of risk variation and substantial loss of statistical power. The aim of this study was to develop and validate a new prognostic model for patients undergoing liver resection including largest diameter and number of colorectal liver metastases as continuous variables.MethodsA prognostic model was developed using data from patients who underwent liver resection for colorectal liver metastases at MD Anderson Cancer Center and had RAS mutational data. A Cox proportional hazards model analysis was used to develop a model based on largest colorectal liver metastasis diameter and number of metastases as continuous variables. The model results were shown using contour plots, and validated externally in an international multi-institutional cohort.ResultsA total of 810 patients met the inclusion criteria. Largest colorectal liver metastasis diameter (hazard ratio (HR) 1.11, 95 per cent confidence interval 1.06 to 1.16; P < 0.001), number of colorectal liver metastases (HR 1.06, 1.03 to 1.09; P < 0.001), and RAS mutation status (HR 1.76, 1.42 to 2.18; P < 0.001) were significantly associated with overall survival, together with age, primary lymph node metastasis, and prehepatectomy chemotherapy. The model performed well in the external validation cohort, with predicted overall survival values almost lying within 10 per cent of observed values. Wild-type RAS was associated with better overall survival than RAS mutation even when liver resection was performed for larger and/or multiple colorectal liver metastases.ConclusionThe contour prognostic model, based on diameter and number of lesions considered as continuous variables along with RAS mutation, predicts overall survival after resection of colorectal liver metastasis.

Project description:For TP53-mutated head and neck squamous cell carcinomas (HNSCCs), the codon and specific amino acid sequence change resulting from a patient's mutation can be prognostic. Thus, developing a framework to predict patient survival for specific mutations in TP53 would be valuable. There are many bioinformatics and functional methods for predicting the phenotypic impact of genetic variation, but their overall clinical value remains unclear. Here, we assess the ability of 15 different methods to predict HNSCC patient survival from TP53 mutation, using TP53 mutation and clinical data from patients enrolled in E4393 by the Eastern Cooperative Oncology Group (ECOG), which investigated whether TP53 mutations in surgical margins were predictive of disease recurrence. These methods include: server-based computational tools SIFT, PolyPhen-2, and Align-GVGD; our in-house POSE and VEST algorithms; the rules devised in Poeta et al. with and without considerations for splice-site mutations; location of mutation in the DNA-bound TP53 protein structure; and a functional assay measuring WAF1 transactivation in TP53-mutated yeast. We assessed method performance using overall survival (OS) and progression-free survival (PFS) from 420 HNSCC patients, of whom 224 had TP53 mutations. Each mutation was categorized as "disruptive" or "non-disruptive". For each method, we compared the outcome between the disruptive group vs. the non-disruptive group. The rules devised by Poeta et al. with or without our splice-site modification were observed to be superior to others. While the differences in OS (disruptive vs. non-disruptive) appear to be marginally significant (Poeta rules + splice rules, P = 0.089; Poeta rules, P = 0.053), both algorithms identified the disruptive group as having significantly worse PFS outcome (Poeta rules + splice rules, P = 0.011; Poeta rules, P = 0.027). In general, prognostic performance was low among assessed methods. Further studies are required to develop and validate methods that can predict functional and clinical significance of TP53 mutations in HNSCC patients.

Dataset Information

Mutation Status of RAS, TP53, and SMAD4 is Superior to Mutation Status of RAS Alone for Predicting Prognosis after Resection of Colorectal Liver Metastases.

Publications

Mutation Status of <i>RAS, TP53</i>, and <i>SMAD4</i> is Superior to Mutation Status of <i>RAS</i> Alone for Predicting Prognosis after Resection of Colorectal Liver Metastases.

Similar Datasets

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