A genetic variant in the TAPBP gene enhances cervical cancer susceptibility by increasing m 6 A modification.
Jing HuShizhi WangXing ZhangWenjing YanHaohan LiuXue ChenYamei NieFengying LiuYun ZhengYiran LuHua JinPublished in: Archives of toxicology (2024)
Genetic variants can affect gene expression by altering the level of N6-methyladenosine (m 6 A) modifications. A better understanding of the association of these genetic variants with susceptibility to cervical cancer (CC) can promote advances in disease screening and treatment. Genome-wide identification of m 6 A-associated functional SNPs for CC was performed using the TCGA and JENGER databases, incorporating the data from RNA-seq and MeRIP-seq. The screened risk-associated SNP rs1059288 (A>G), which is located in the 3' UTR of TAPBP, was further validated in a case-control study involving 921 cases and 1077 controls. The results revealed a significant association between rs1059288 and the risk of CC (OR 1.48, 95% CI 1.13-1.92). Mechanistically, the presence of the risk G allele of rs1059288 was associated with increased m 6 A modification of TAPBP compared with the A allele. This modification was facilitated by the m 6 A methyltransferase METTL14 and the reading protein YTHDF2. Immunohistochemical staining of tissue microarrays containing 61 CC and 45 normal tissues showed an overexpression of TAPBP in CC. Furthermore, the upregulation of TAPBP promoted the growth and migration of CC cells as well as tumor-forming ability, inhibited apoptosis, and conferred increased resistance to commonly used chemotherapeutic drugs such as bleomycin, cisplatin, and doxorubicin. Knockdown of TAPBP inhibited the JAK/STAT/MICB signaling pathway in CC cells and upregulated certain immune genes including ISG15, IRF3, PTPN6, and HLA-A. These findings offer insights into the involvement of genetic variations in TAPBP in the development and progression of CC.
Keyphrases
- genome wide
- rna seq
- gene expression
- cell cycle arrest
- genome wide identification
- single cell
- induced apoptosis
- signaling pathway
- dna methylation
- pi k akt
- transcription factor
- cell death
- cell proliferation
- copy number
- big data
- electronic health record
- deep learning
- combination therapy
- drug induced
- binding protein
- genome wide analysis
- bioinformatics analysis