CD48 suppresses cell proliferation and migration as a prognostic immune signature in the cervical cancer immune microenvironment.
Danbo WangZhuo YangJing LiuDanbo WangPublished in: Carcinogenesis (2023)
Cervical cancer (CC) is one of the most common malignant tumors in gynecology. Immunotherapy and targeted therapy are two particularly effective treatments. In this study, weighted gene co-expression network analysis and CIBERSORT algorithm that quantifies the cellular composition of immune cells were used to analyze CC expression data based on the GEO database and identify modules related to CD8 + T cells. Five candidate hub genes were identified by tumor-infiltrating immune cells estimation and Kaplan-Meier survival analysis according to CC data from the Cancer Genome Atlas. Chemotherapeutic response, methylation, and gene mutation analyses were implemented so that the five candidate hub genes identified may be the potential biomarkers and therapeutic targets which were related to T cell infiltration in CC. Moreover, the results of RT-qPCR revealed that CD48 was a tumor suppressor gene, which was negatively correlated with CC stages, lymph node metastasis, and differentiation. Furthermore, the functional study verified that the interference of CD48 was able to boost the proliferation and migration ability in vitro and the growth of transplanted tumors in vivo. Overall, we identified molecular targets related to immune infiltration and prognosis, regarded CD48 as a key molecule involved in the progression of cervical cancer, thus providing new insights into the development of molecular therapy and immunotherapeutics against cervical cancer.
Keyphrases
- network analysis
- genome wide
- lymph node metastasis
- papillary thyroid
- genome wide identification
- poor prognosis
- single cell
- dna methylation
- bioinformatics analysis
- signaling pathway
- copy number
- magnetic resonance
- electronic health record
- magnetic resonance imaging
- nk cells
- squamous cell carcinoma
- binding protein
- machine learning
- transcription factor
- computed tomography
- emergency department
- bone marrow
- genome wide analysis
- contrast enhanced