No abstract

Long noncoding RNAs (lncRNAs) have been considered as regulatory molecules that play crucial roles in diverse biological processes, including the regulation of tumor progression. However, in colorectal cancer (CRC), due to the complex regulatory relationships involved in lncRNAs, the details of the specific mechanism still need to be elucidated. To discover the key regulatory role of lncRNA in CRC, we used bioinformatics analysis methods for preliminary screening. Through the combination of in vitro and in vivo verification, we further comprehensively analyzed the specific regulation of the key gene and the related key lncRNA in CRC. We found that ZBTB34 and lnc-CPLC (CRC progression-associated lncRNA) had a strong correlation, which plays a key role in the regulation of CRC. Furthermore, by exerting the "sponge" function, lnc-CPLC could bind to miR4319 and release its binding to the 3'UTR of ZBTB34 mRNA. Our results reveal the mechanism of the lnc-CPLC/miR-4319/ZBTB34 signal axis in CRC and provide evidence for elucidating the complex molecular mechanisms in tumors.

Cervical cancer (CC) is the second most common cancer and the leading cause of cancer mortality in women. Numerous studies have found that the development of CC was associated with multiple genes. However, the mechanisms on gene level are enigmatic, hindering the understanding of its functional roles. This study sought to identify prognostic biomarkers of CC, and explore their biological functions. Here we conducted an integrated analysis to screen potential vital genes. Candidate genes were further tested by experiments in clinical specimens and cancer cell line. Then, molecular modeling was used to predict the three-dimensional structure of candidate genes’ proteins, and the interaction pattern was analyzed by docking simulation technique. Among the potential genes identified, we found that TAF1A and ZBTB41 were highly correlated. Furthermore, there was a definite interaction between the proteins of TAF1A and ZBTB41, which was affected by the activity of the p53 signaling pathway. In conclusion, our findings identified TAF1A and ZBTB41 could serve as biomarkers of CC. We confirmed their biological function and deciphered their interaction for the first time, which may be helpful for developing further researches.