scholarly journals P-226 Analysis of Hispanic Latino American patients with colorectal cancer, clinical features and laterality as a prognosis factor of overall survival

2020 ◽  
Vol 31 ◽  
pp. S164
Author(s):  
G. Calderillo-Ruiz ◽  
C. Diaz ◽  
D. Heredia ◽  
B. Carbajal-López ◽  
H. Lopez Basave ◽  
...  
2021 ◽  
Vol 32 ◽  
pp. S125-S126
Author(s):  
G. Calderillo-Ruiz ◽  
C. Diaz ◽  
H. Lopez Basave ◽  
E. Ruiz-Garcia ◽  
A. Apodaca ◽  
...  

Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 751
Author(s):  
Eun Kyung Choe ◽  
Sangwoo Lee ◽  
So Yeon Kim ◽  
Manu Shivakumar ◽  
Kyu Joo Park ◽  
...  

Background inflammatory status indicators have been reported as prognostic biomarkers of colorectal cancer (CRC). However, since inflammatory interactions with the colon involve various modes of action, the biological mechanism linking inflammation and CRC prognosis has not been fully elucidated. We comprehensively evaluated the predictive roles of the expression and methylation levels of inflammation-related genes for CRC prognosis and their pathophysiological associations. Method. An integrative analysis of 247 patients with stage I-III CRC from The Cancer Genome Atlas was conducted. Lasso-penalized Cox proportional hazards regression (Lasso-Cox) and statistical Cox proportional hazard regression (CPH) were used for the analysis. Results. Models to predict overall survival were designed with respective combinations of clinical variables, including age, sex, stage, gene expression, and methylation. An integrative model combining expression, methylation, and clinical features performed better (median C-index = 0.756) than the model with clinical features alone (median C-index = 0.726). Based on multivariate CPH with features from the best model, the methylation levels of CEP250, RAB21, and TNPO3 were significantly associated with overall survival. They did not share any biological process in functional networks. The 5-year survival rate was 29.8% in the low methylation group of CEP250 and 79.1% in the high methylation group (p < 0.001). Conclusion. Our study results implicate the importance of integrating expression and methylation information along with clinical information in the prediction of survival. CEP250, RAB21, and TNPO3 in the prediction model might have a crucial role in CRC prognosis and further improve our understanding of potential mechanisms linking inflammatory reactions and CRC progression.


2020 ◽  
Author(s):  
Eun Kyung Choe ◽  
Sangwoo Lee ◽  
So Yeon Kim ◽  
Manu Shivakumar ◽  
Kyu Joo Park ◽  
...  

Abstract Background Inflammatory status indicators have been reported as a prognostic biomarker of colorectal cancer (CRC). However, since the inflammatory interactions with colon involve various modes of action, the biological mechanism to link inflammation and CRC prognosis is not fully elucidated. We comprehensively evaluated the predictive role of the expression and methylation level of inflammation-related genes for CRC prognosis and their pathophysiological associations. Method An integrative analysis was conducted on 247 patients of stage I-III CRC from The Cancer Genome Atlas. Lasso-penalized Cox proportional hazards regression (Lasso-Cox) and statistical Cox proportional hazard regression (CPH) were used for analysis. Result Models to predict overall survival were designed with respective combinations of clinical variables, including age, sex, stage, gene expression, and methylation. An integrative model combining expression, methylation, and clinical features had the highest performance (median C-index=0.756), compared to the model with clinical features alone (median C-index=0.726). By multivariate CPH with features from the best model, methylation levels of CEP250, RAB21 and TNPO3 were significantly associated with overall survival. They did not share any biological process in functional networks. The 5-year survival rate was 29.8% in a low methylation group of CEP250 and 79.1% in a high (P <0.001). Conclusion Our study result implicates the importance of integrating the expression and methylation information along with clinical information in prediction of survival. CEP250, RAB21 and TNPO3, in the prediction model might have a crucial role in CRC prognosis and further improve our understanding of potential mechanisms linking inflammatory reaction and CRC progression.


2020 ◽  
Vol 216 (1) ◽  
pp. 152769 ◽  
Author(s):  
Xian-hui Zhang ◽  
Wei Wang ◽  
Ya-qi Wang ◽  
Lei Zhu ◽  
Lan Ma

Author(s):  
Zahra Khodabakhshi ◽  
Mehdi Amini ◽  
Shayan Mostafaei ◽  
Atlas Haddadi Avval ◽  
Mostafa Nazari ◽  
...  

AbstractThe aim of this work is to investigate the applicability of radiomic features alone and in combination with clinical information for the prediction of renal cell carcinoma (RCC) patients’ overall survival after partial or radical nephrectomy. Clinical studies of 210 RCC patients from The Cancer Imaging Archive (TCIA) who underwent either partial or radical nephrectomy were included in this study. Regions of interest (ROIs) were manually defined on CT images. A total of 225 radiomic features were extracted and analyzed along with the 59 clinical features. An elastic net penalized Cox regression was used for feature selection. Accelerated failure time (AFT) with the shared frailty model was used to determine the effects of the selected features on the overall survival time. Eleven radiomic and twelve clinical features were selected based on their non-zero coefficients. Tumor grade, tumor malignancy, and pathology t-stage were the most significant predictors of overall survival (OS) among the clinical features (p < 0.002, < 0.02, and < 0.018, respectively). The most significant predictors of OS among the selected radiomic features were flatness, area density, and median (p < 0.02, < 0.02, and < 0.05, respectively). Along with important clinical features, such as tumor heterogeneity and tumor grade, imaging biomarkers such as tumor flatness, area density, and median are significantly correlated with OS of RCC patients.


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