Dataset Information

Functional polymorphisms associated with disease-free survival in resected carcinoma of the esophagus.

ABSTRACT:

Purpose

The aim of this study was to determine whether clinical outcome after surgical resection of esophageal adenocarcinoma (EAC) or esophageal squamous cell carcinoma (ESCC) could be predicted by functional polymorphisms in different proto-oncogenes and tumor suppressor genes.

Experimental design

Six single nucleotide polymorphisms (SNPs) in the AURKA (rs2273535), ERBB2 (rs1136201), MDM2 (rs2279744), CDH1 (rs5030625), CDKN2A (rs11515), and TP73 (rs2273953) genes were genotyped in a consecutive cohort of 346 esophageal cancer patients, who had underwent surgical resection with curative intent. Associations with disease-free survival (DFS) were analyzed with Kaplan-Meier curves and Cox regression, adjusting for potential confounders.

Results

Univariate analysis showed no significant associations between the tested polymorphisms and DFS in patients with EAC or ESCC. However, in a multivariate analysis, patients with EAC carrying the heterozygous MDM2 (rs2279744) T/G genotype had significantly improved DFS compared with patients carrying the wild-type genotype (adjusted hazard ratio (AHR), 0.63; 95% confidence interval (CI) [0.45-0.88]). Patients with EAC harboring the homozygous CDH1 (rs5030625) GA/GA genotype had a significantly reduced survival as compared with patients carrying the wild-type genotype AHR 4.0, 95% CI [1.4-11].

Conclusions

In a large cohort of esophageal cancer patients, the MDM2 T/G and CDH1 GA/GA genotype confer risk of death in patients with EAC. These data suggest that inter-individual differences in germ-line DNA have an impact on DFS in patients with EAC.

SUBMITTER: Boonstra JJ

PROVIDER: S-EPMC3023032 | biostudies-literature | 2011 Jan

REPOSITORIES: biostudies-literature

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Publications

Functional polymorphisms associated with disease-free survival in resected carcinoma of the esophagus.

Boonstra Jurjen J JJ van Marion Ronald R Tilanus Hugo W HW Dinjens Winand N M WN

Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract 20101005 1

<h4>Purpose</h4>The aim of this study was to determine whether clinical outcome after surgical resection of esophageal adenocarcinoma (EAC) or esophageal squamous cell carcinoma (ESCC) could be predicted by functional polymorphisms in different proto-oncogenes and tumor suppressor genes.<h4>Experimental design</h4>Six single nucleotide polymorphisms (SNPs) in the AURKA (rs2273535), ERBB2 (rs1136201), MDM2 (rs2279744), CDH1 (rs5030625), CDKN2A (rs11515), and TP73 (rs2273953) genes were genotyped ...[more]

PMID: 20922573

Similar Datasets

Project description:BackgroundRobust imaging biomarkers are needed for risk stratification in stage I lung adenocarcinoma patients in order to select optimal treatment regimen. We aimed to construct and validate a radiomics nomogram for predicting the disease-free survival (DFS) of patients with resected stage I lung adenocarcinoma, and further identifying candidates benefit from adjuvant chemotherapy (ACT).MethodsUsing radiomics approach, we analyzed 554 patients' computed tomography (CT) images from three multicenter cohorts. Prognostic radiomics features were extracted from computed tomography (CT) images and selected using least absolute shrinkage and selection operator (LASSO) Cox regression model to build a radiomics signature for DFS stratification. The biological basis of radiomics was explored in the Radiogenomics dataset (n=79) by gene set enrichment analysis (GSEA). Then a nomogram that integrated the signature with these significant clinicopathologic factors in the multivariate analysis were constructed in the training cohort (n=238), and its prognostic accuracy was evaluated in the validation cohort (n=237). Finally, the predictive value of nomogram for ACT benefits was assessed.ResultsThe radiomics signature with higher score was significantly associated with worse DFS in both the training and validation cohorts (P<0.001). The GSEA presented that the signature was highly correlated to characteristic metabolic process and immune system during cancer progression. Multivariable analysis revealed that age (P=0.031), pathologic TNM stage (P=0.043), histologic subtype (P=0.010) and the signature (P<0.001) were independently associated with patients' DFS. The integrated radiomics nomogram showed good discrimination performance, as well as good calibration and clinical utility, for DFS prediction in the validation cohort. We further found that the patients with high points (point ≥8.788) defined by the radiomics nomogram obtained a significant favorable response to ACT (P=0.04) while patients with low points (point <8.788) showed no survival difference (P=0.7).ConclusionsThe radiomics nomogram could be used for prognostic prediction and ACT benefits identification for patient with resected stage I lung adenocarcinoma.

Dataset Information

Functional polymorphisms associated with disease-free survival in resected carcinoma of the esophagus.

Purpose

Experimental design

Results

Conclusions

Publications

Functional polymorphisms associated with disease-free survival in resected carcinoma of the esophagus.

Similar Datasets

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