TRAF6 and LC3 gene expressions in Colorectal cancer patients and Predicting metastasis using deep machine learning

Mahgol Mohammadi

Abstract


Background: Colorectal cancer is the fourth leading cause of cancer deaths around the world. This type of cancer, like other cancers, is caused by the influence of environmental and genetic factors. According to recent studies, several genes are involved in the autophagy mechanism of colorectal cancer which among them can point to TRAF6 and LC3 genes. we analyzed the expression levels of these genes in colorectal cancer tissues. Also, in this study, we predict metastatic CRC patients using the deep-learning.
Method: To evaluate the gene expression level, thirty-two colorectal tumor samples and adjacent normal samples were used for carrying out the Real-Time PCR method. Also, a model based on deep CNN was designed for the prediction of metastatic symptoms in CRC patients.
Results: We reported that there was a significant difference in the expression level of TRAF6 and LC3 genes in tumor samples compared to normal samples (P<0.05). However, this study was designed as a pilot study, and further investigations are required to confirm our findings.

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References


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DOI: http://dx.doi.org/10.52155/ijpsat.v32.2.4307

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