Identification of prognosis-related genes in the cervical cancer immune microenvironment

Abstract

Background Cervical cancer is the fourth most common cancer in women worldwide. The metastasis and invasion of this type of cancer are closely related to the tumor microenvironment. Immune cells and stromal cells dominate the tumor microenvironment in cervical cancer. Therefore, we should further understand the association between tumor progress and immune cells or stromal cells. Methods we downloaded the gene expression profiles and clinical data of 307 patients with cervical cancers based on the TCGA database. Subsequently the Estimation of Stromal and Immune cells in Malignant Tumours using Expression data (ESTIMATE) algorithm was used to calculate the scores of stromal cells and immune cells to find differential genes, and analyzed the correlation between their scores and patient survival. Moreover, we also used R language packs and network tools to analyze GO term, gene enrichment pathway, and protein-protein relationship to find genes related to inflammation and immune regulation. Results The gene expression profiles and corresponding clinical data of 307 patients were obtained from TCGA datasets. The results showed that there was a statistically significant difference between the high immunescore group and the low immunescore group. And the low immunescore group had shorter lifetimes than the high scores group (P = 0.035).Moreover, PPI network analysis CCR5 and CXCL9,-10,-11 / CXCR3 axis might be new target for cervical cancer treatment. Finally, Kaplan-Meier survival curves found out nine representative genes significantly related to survival including BTNL8 ,

Multi-Omics Data Analyses Construct a Six Immune-Related Genes Prognostic Model for Cervical Cancer in Tumor Microenvironment

“…However, the current understanding remains unsatisfactory and insufficient. Numerous previous research studies concentrated mainly on the RNA-seq profiles, which are characterized by some disadvantages in comprehensively clarifying the potential mechanisms involved ( Sun et al, 2019 ; Liu et al, 2020 ; Ma J. et al, 2020 ; Zhao et al, 2020 ; Yang et al, 2021 ). Many researchers have recently concentrated on investigating prognostic factors by integrative multi-omics data analysis, which yielded more powerful results and provided a more comprehensive view of the TME ( Gu et al, 2020 ; Ma H. et al, 2020 ; Yan et al, 2020 ; Zhang Y. et al, 2020 ; Xu et al, 2021 ).…”

Immune-Related Genes: Potential Prognostic Factors and Regulatory Targets for Cervical Carcinoma

“…Recently, increasing evidences show that TIME is closely related to the development of cervical carcinoma and has an important value in OS or the prognosis of cervical carcinoma [5,7]. Emerging evidence has elucidated that tumors can act as distinct immunological organs with complex TIME, and the immune cells recruited and activated in TIME are linked to the malignant phenotypes of tumors [13,19].…”

“…Recently reports showed that the metastasis and invasion of cervical carcinoma are closely related to the tumor immune microenvironment (TIME), and targeted therapy for its TIME has been more and more developed and applied [5][6][7][8]. The cervical carcinoma progresses in TIME mainly composed of infiltrating immune and stromal cells.…”

­­Prognostic analysis of tumor mutation burden combined with immune infiltration of Thymic epithelial tumors

“…In addition, Yuan et al [22] found that, the low expression of CD1B was related to the deterioration of lung adenocarcinoma. Compared with CD1B, CD1E is less studied, except that Yang et al [23] found that CD1E could be used as a prognostic indicator of cervical cancer. Similar results to our study was that, CD1B and CD1E could be used as prognostic indicators of TETs, and the low expression levels might be related to the poor prognosis.…”