scholarly journals Identification of Pathways and Genes Associated with Chemoradiotherapy in Locally Advanced Cervical Cancer

Author(s):  
Zhenhua Zhang ◽  
Yao Zhang ◽  
Yongshun Ma ◽  
Shixin Xiang ◽  
Jing Shen ◽  
...  

Abstract The standard treatment approach for locally advanced cervical cancer (LACC) is concurrent chemoradiotherapy (CCRT). However, resistance to radiotherapy and chemotherapy often leads to failure of LACC therapy. Thus, the key pathways and genes associated with CCRT in LACC should be identified urgently. The Weighted Gene Co-Expression Network Analysis (WGCNA) was used for the identification of highly correlated gene modules. A protein-protein interaction (PPI) network was constructed using STRING and hub genes were selected. Furthermore, single-cell transcriptome sequencing was used to elucidate the cell type composition of the cervix sample and analyze the expression levels of key genes in cells. We identified 580 differentially expressed genes (DEGs) in LACCk, which were mainly invovled in Human papillomavirus infection, focal adhesion, and ECM-receptor interaction signaling pathways. Ten hub genes (COL1A1, COL6A1, COL6A2, LAMA4, COL6A3, LAMC1, HSPG2, ITGA9, CTGF, PDGFRB) were screened for further study. We showed that COL1A1, COL6A1, COL6A2 were highly expressed after radiotherapy or chemoradiotherapy. By analyzing the single-cell sequence, we found that the main cell types in cervical tissue include Fibroblasts, Smooth muscle cells, Tissue stem cells, Endothelial cells, Progenitor cells, Epithelial cells, T cells, Basal cells, Macrophages, and Mast cells. COL1A1, COL6A1, COL6A2, COL6A3, CTGF, and PDGFRB were highly expressed in Progenitor cells. Human papillomavirus infection, focal adhesion, and ECM-receptor interaction signaling pathway are related to the failure of CCRT for LACC, which warrants further research to improve CCRT sensitivity in LACC targeting on these candidate genes or pathways.

2020 ◽  
Author(s):  
Zhenhua Zhang ◽  
Yao Zhang ◽  
Yongshun Ma ◽  
Shixing Xiang ◽  
Jing Shen ◽  
...  

Abstract Objectives:Currently, the standard treatment approach for locally advanced cervical cancer (LACC) is concurrent chemoradiotherapy (CCRT). However, resistance to radiotherapy and chemotherapy often leads to treatment failure. Intrinsic resistance is often a decisive factor in treatment response. Thus, it is urgent to identify the key genes and pathways associated with CCRT sensitivity in LACC.Materials and Methods:We searched the Gene Expression Omnibus (GEO) database for patients with LACC and analyzed differentially expressed genes (DEGs) between responders and non-responders. Gene Ontology (GO) enrichment analysis of DEGs were performed using DAVID tools. And Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were conducted using R package cluster Profiler. The Weighted Gene Co-Expression Network Analysis (WGCNA) from R package WGCNA was used for the identification of highly correlated gene modules. A protein-protein interaction (PPI) network was constructed using STRING and 20 hub genes were selected. The expression levels of these 20 genes were was analyzed using The Cancer Genome Atlas (TCGA) and Gene Expression Profiling Interactive Analysis (GEPIA 2) databases. Furthermore, single-cell transcriptome sequencing was used to elucidate the cell type composition of the cervix sample and analyze the expression levels of 10 hub genes in cells.Results: Compared with non-responders, 580 genes were significantly up-regulated. The up-regulated genes were mainly related to Human papillomavirus infection, focal adhesion, and ECM-receptor interaction signaling pathway. We screened 10 hub genes (COL1A1, COL6A1, COL6A2, LAMA4, COL6A3, LAMC1, HSPG2, ITGA9, CTGF, PDGFRB) and further studied them. Compared with healthy people, these 10 genes were low expressed in cervical cancer patients, and their mRNA levels were positively correlated. Receiver Operator Characteristic curve (ROC) analysis indicated that 10 hub genes could differentiate responders from non-responders. Furthermore, we showed that COL1A1, COL6A1, COL6A2 were highly expressed after radiotherapy or chemoradiotherapy. By analyzing the single-cell sequence, we found that the main cell types in cervical tissue include Fibroblasts, Smooth muscle cells, Tissue stem cells, Endothelial cells, Progenitor cells, Epithelial cells, T cells, Basal cells, Macrophages, and Mast cells. And COL1A1, COL6A1, COL6A2, COL6A3, CTGF, PDGFRB were highly expressed in Progenitor cells.Conclusions: In summary, COL1A1, COL6A1, COL6A2, LAMA4, COL6A3, LAMC1, HSPG2, ITGA9, CTGF, and PDGFRB might serve as therapeutic targets to enhance the therapeutic effect of CCRT in the treatment of LACC. These genes were involved in Human papillomavirus infection, focal adhesion, and ECM-receptor interaction signaling pathway. And they were involved in various biological processes, including cell adhesion and extracellular matrix organizations. Besides, COL1A1, COL6A1, COL6A2, COL6A3, CTGF, and PDGFRB were highly expressed in Progenitor cells.


2020 ◽  
Author(s):  
Zhenhua Zhang ◽  
Yao Zhang ◽  
Yongshun Ma ◽  
Shixing Xiang ◽  
Jing Shen ◽  
...  

Abstract Objectives: Currently, the standard treatment approach for locally advanced cervical cancer (LACC) is concurrent chemoradiotherapy (CCRT). However, resistance to radiotherapy and chemotherapy often leads to treatment failure. Intrinsic resistance is often a decisive factor in treatment response. Thus, it is urgent to identify the key genes and pathways associated with CCRT sensitivity in LACC.Materials and Methods: We searched the Gene Expression Omnibus (GEO) database for patients with LACC and analyzed differentially expressed genes (DEGs) between responders and non-responders. Gene Ontology (GO) enrichment analysis of DEGs were performed using DAVID tools. And Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of DEGs were conducted using R package cluster Profiler. The Weighted Gene Co-Expression Network Analysis (WGCNA) from R package WGCNA was used for the identification of highly correlated gene modules. A protein-protein interaction (PPI) network was constructed using STRING and 20 hub genes were selected. The expression levels of these 20 genes were was analyzed using The Cancer Genome Atlas (TCGA) and Gene Expression Profiling Interactive Analysis (GEPIA 2) databases. Furthermore, single-cell transcriptome sequencing was used to elucidate the cell type composition of the cervix sample and analyze the expression levels of 10 hub genes in cells.Results: Compared with non-responders, 580 genes were significantly up-regulated. The up-regulated genes were mainly related to Human papillomavirus infection, focal adhesion, and ECM-receptor interaction signaling pathway. We screened 10 hub genes (COL1A1, COL6A1, COL6A2, LAMA4, COL6A3, LAMC1, HSPG2, ITGA9, CTGF, PDGFRB) and further studied them. Compared with healthy people, these 10 genes were low expressed in cervical cancer patients, and their mRNA levels were positively correlated. Receiver Operator Characteristic curve (ROC) analysis indicated that 10 hub genes could differentiate responders from non-responders. Furthermore, we showed that COL1A1, COL6A1, COL6A2 were highly expressed after radiotherapy or chemoradiotherapy. By analyzing the single-cell sequence, we found that the main cell types in cervical tissue include Fibroblasts, Smooth muscle cells, Tissue stem cells, Endothelial cells, Progenitor cells, Epithelial cells, T cells, Basal cells, Macrophages, and Mast cells. And COL1A1, COL6A1, COL6A2, COL6A3, CTGF, PDGFRB were highly expressed in Progenitor cells.Conclusions: In summary, COL1A1, COL6A1, COL6A2, LAMA4, COL6A3, LAMC1, HSPG2, ITGA9, CTGF, and PDGFRB might serve as therapeutic targets to enhance the therapeutic effect of CCRT in the treatment of LACC. These genes were involved in Human papillomavirus infection, focal adhesion, and ECM-receptor interaction signaling pathway. And they were involved in various biological processes, including cell adhesion and extracellular matrix organizations. Besides, COL1A1, COL6A1, COL6A2, COL6A3, CTGF, and PDGFRB were highly expressed in Progenitor cells.


2021 ◽  
Vol 11 (6) ◽  
pp. 479
Author(s):  
Liana Mkrtchian ◽  
Irina Zamulaeva ◽  
Liudmila Krikunova ◽  
Valentina Kiseleva ◽  
Olga Matchuk ◽  
...  

This study is aimed at searching for an informative predictor of the clinical outcome of cervical cancer (CC) patients. The study included 135 patients with locally advanced cervical cancer (FIGO stage II–III) associated with human papillomavirus (HPV) 16/18 types or negative status of HPV infection. Using logistic regression, we analyzed the influence of the treatment method, clinical and morphological characteristics, and the molecular genetic parameters of HPV on the disease free survival (DFS) of patients treated with radiotherapy or chemoradiotherapy. Multivariate analysis revealed three factors that have prognostic significance for DFS, i.e., HPV-related biomarker (HPV-negativity or HPV DNA integration into the cell genome) (OR = 9.67, p = 1.2 × 10−4), stage of the disease (OR = 4.69, p = 0.001) and age (OR = 0.61, p = 0.025). The predictive model has a high statistical significance (p = 5.0 × 10−8; Nagelkirk’s R2 = 0.336), as well as sensitivity (Se = 0.74) and specificity (Sp = 0.75). Thus, simultaneous accounting for the clinical and molecular genetic predictors (stage of the disease, patient age and HPV-related biomarker) makes it possible to effectively differentiate patients with prognostically favorable and unfavorable outcome of the disease.


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