Objective: To screen piRNA pathway related genes associated with diagnosis and prognosis of colorectal cancer (CRC). Methods: The expression of 39 piRNA pathpathy-related genes at the tissue level was analyzed based on 647 colorectal tumor samples and 51 non-tumor samples from the Cancer Genome Atlas (TCGA) database, and the risk prediction model was constructed. KM and ROC were used to evaluate the prediction performance and effect of the measurement model. Finally, candidate molecules were selected based on clinicopathological features and validated at the cellular level. Results: Among 37 piRNA pathway related genes with significant differences, 8 genes co-constructed the risk prediction model. KM analysis showed that OS decreased significantly in high-risk group. The ROC curve showed that the area under the curve of the model was 0.624, 0.669, and 0.670 in 1, 3, and 5 years respectively. The expression levels of POLR2F and PAICS were overexpressed in colorectal cancer cells and CTPAC Database data, and correlated with clinicopathological features. In particular, the expression level of PAICS was positively correlated with tumor immune infiltrating cells in CRC, and significantly lower in cancer-associated fibroblasts. Conclusion: piRNA pathway related genes, especially POLR2F and PAICS, may be the potential biomarkers for cancer diagnosis and prognosis in CRC.
ZHANG Wei
,
WANG Yin
,
WEN Zhen ping
. Research of PIWI interacting RNA pathway-related genes as biomarkers of colorectal cancer[J]. Journal of Baotou Medical College, 2023
, 39(11)
: 14
-22
.
DOI: 10.16833/j.cnki.jbmc.2023.11.003
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