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Yan Z, Yu J, Wang S, Wen W, Xin M, Li X. Identification of E3 ubiquitin ligase-associated prognostic genes and construction of a prediction model for uterine cervical cancer based on bioinformatics analysis. Discov Oncol 2024; 15:395. [PMID: 39217222 PMCID: PMC11365898 DOI: 10.1007/s12672-024-01271-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 08/23/2024] [Indexed: 09/04/2024] Open
Abstract
E3 ligases are engaged in a variety of physiological processes within cells and use ubiquitin-labeled substrates to control their activity and stability. Although some research has indicated that E3 ligases or particular substrates have an impact on the treatment that cervical cancer patients get after their diagnosis, The exact purpose of these enzymes in the occurrence and evolution of cancer of the cervical region (CC) is not clear. In order to extract and analyze relevant mRNA gene expression data as well as clinical patient data, we used open databases. A reliable risk prediction model was developed by applying the least absolute shrinkage and selection operator (LASSO) technique in conjunction with Cox regression analysis. Column-line plots were combined to analyze the predictive model, and the GSE44001 dataset served as an external validation.Four gene models:proteasome (prosome, macropain) 26S subunit, non-ATPase, 14(PSMD14),proteasome (prosome, macropain) subunit, alpha type, 4(PSMA4,),zinc finger and BTB domain containing 16(ZBTB16),and ankyrin repeat domain 9(ANKRD9). Gene expression levels in both healthy and cancerous tissues have been confirmed by the HPA database. Next, the investigation focused on immunological state and tumor mutation load. The high-risk group and Cluster B had distinct levels of immune cell infiltration and a worse prognosis. Additionally, KEGG and GO analyses of differentially expressed genes (DEGs) between the high- and low-risk groups were performed, as well as tumor microenvironment (TME) investigations. Targeting E3 ligases may be an efficient strategy to treat cervical cancer (CC), according to a novel and comprehensive E3 ubiquitination ligase-associated gene model that has been presented.
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Affiliation(s)
- Zhengchao Yan
- Department of Morphological Experiment Center, Medical College of Yanbian University, No. 977, Gongyuan Road, Yanji, 133000, Jilin, China
| | - Jingwei Yu
- Department of Morphological Experiment Center, Medical College of Yanbian University, No. 977, Gongyuan Road, Yanji, 133000, Jilin, China
| | - Shuyuan Wang
- Department of Morphological Experiment Center, Medical College of Yanbian University, No. 977, Gongyuan Road, Yanji, 133000, Jilin, China
| | - Weibo Wen
- Department of Morphological Experiment Center, Medical College of Yanbian University, No. 977, Gongyuan Road, Yanji, 133000, Jilin, China
| | - Mengyuan Xin
- Department of Morphological Experiment Center, Medical College of Yanbian University, No. 977, Gongyuan Road, Yanji, 133000, Jilin, China
| | - Xiangdan Li
- Department of Morphological Experiment Center, Medical College of Yanbian University, No. 977, Gongyuan Road, Yanji, 133000, Jilin, China.
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Wang W, Liu P, Ma J, Li J, Leng L. Establishment of a CD8+ T cells-related prognostic risk model for acral melanoma based on single-cell and bulk RNA sequencing. Skin Res Technol 2024; 30:e13900. [PMID: 39093712 PMCID: PMC11296306 DOI: 10.1111/srt.13900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2024] [Accepted: 07/20/2024] [Indexed: 08/04/2024]
Abstract
BACKGROUND CD8+ T cells have been recognized as crucial factors in the prognosis of melanoma. However, there is currently a lack of gene markers that accurately describe their characteristics and functions in acral melanoma (AM), which hinders the development of personalized medicine. METHODS Firstly, we explored the composition differences of immune cells in AM using single-cell RNA sequencing (scRNA-seq) data and comprehensively characterized the immune microenvironment of AM in terms of composition, developmental differentiation, function, and cell communication. Subsequently, we constructed and validated a prognostic risk scoring model based on differentially expressed genes (DEGs) of CD8+ T cells using the TCGA-SKCM cohort through Lasso-Cox method. Lastly, immunofluorescence staining was performed to validate the expression of four genes (ISG20, CCL4, LPAR6, DDIT3) in AM and healthy skin tissues as included in the prognostic model. RESULTS The scRNA-seq data revealed that memory CD8+ T cells accounted for the highest proportion in the immune microenvironment of AM, reaching 70.5%. Cell-cell communication analysis showed extensive communication relationships among effector CD8+ T cells. Subsequently, we constructed a prognostic scoring model based on DEGs derived from CD8+ T cell sources. Four CD8+ T cell-related genes were included in the construction and validation of the prognostic model. Additionally, immunofluorescence results demonstrated that ISG20 and CCL4 were downregulated, while LPAR6 and DDIT3 were upregulated in AM tissues compared to normal skin tissues. CONCLUSION Identifying biomarkers based on the expression levels of CD8+ T cell-related genes may be an effective approach for establishing prognostic models in AM patients. The independently prognostic risk evaluation model we constructed provides new insights and theoretical support for immunotherapy in AM.
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Affiliation(s)
- Wenwen Wang
- Department of DermatologyPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
- Stem Cell and Regenerative Medicine LabDepartment of Medical Science Research CenterState Key Laboratory for ComplexSevere, and Rare DiseasesCenter for Translational MedicinePeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Pu Liu
- Chongqing Key Laboratory on Big Data for Bio IntelligenceChongqing University of Posts and TelecommunicationsChongqingChina
- State Key Laboratory of Medical ProteomicsBeijing Proteome Research CenterNational Center for Protein Sciences (Beijing)Beijing Institute of LifeomicsBeijingChina
| | - Jie Ma
- State Key Laboratory of Medical ProteomicsBeijing Proteome Research CenterNational Center for Protein Sciences (Beijing)Beijing Institute of LifeomicsBeijingChina
| | - Jun Li
- Department of DermatologyPeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ling Leng
- Stem Cell and Regenerative Medicine LabDepartment of Medical Science Research CenterState Key Laboratory for ComplexSevere, and Rare DiseasesCenter for Translational MedicinePeking Union Medical College HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
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Fong Amaris WM, de Assumpção PP, Valadares LJ, Moreira FC. Microbiota changes: the unseen players in cervical cancer progression. Front Microbiol 2024; 15:1352778. [PMID: 38389527 PMCID: PMC10881787 DOI: 10.3389/fmicb.2024.1352778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 01/16/2024] [Indexed: 02/24/2024] Open
Abstract
Cervical cancer ranks among the most prevalent cancers globally with high-risk human papillomaviruses implicated in nearly 99% of cases. However, hidden players such as changes in the microbiota are now being examined as potential markers in the progression of this disease. Researchers suggest that changes in the vaginal microbiota might correlate with cervical cancer. This review provides a comprehensive look at the microbiota changes linked with the advancement of cervical cancer. It also scrutinizes the databases from past studies on the microbiota during healthy and cancerous stages, drawing connections between prior findings concerning the role of the microbiota in the progression of cervical cancer. Preliminary findings identify Fusobacterium spp., Peptostreptococcus spp., Campylobacter spp., and Haemophilus spp., as potential biomarkers for cervical cancer progression. Alloscardovia spp., Eubacterium spp., and Mycoplasma spp. were identified as potential biomarkers for HPVs (+), while Methylobacterium spp. may be indicative of HPV (-). However, the study's limitations, including potential biases and methodological constraints, underscore the need for further research to validate these findings and delve deeper into the microbiota's role in HPV development. Despite these limitations, the review provides valuable insights into microbiota trends during cervical cancer progression, offering direction for future research. The review summarizes key findings from previous studies on microbiota during healthy and cancerous stages, as well as other conditions such as CIN, SIL, HPV (+), and HPV (-), indicating a promising area for further investigation. The consistent presence of HPV across all reported cervical abnormalities, along with the identification of distinct bacterial genera between cancerous and control samples, suggests a potential link that merits further exploration. In conclusion, a more profound understanding of the microbial landscape could elucidate the pathogenesis of cervical diseases and inform future strategies for diagnosis, prevention, and treatment.
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Affiliation(s)
- W M Fong Amaris
- Instituto de Ciências Biológicas, Universidade Federal do Pará, Belém, Brazil
| | - Paulo Pimentel de Assumpção
- Núcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Brazil
- Hospital Universitário João de Barros Barreto, Universidade Federal do Pará, Belém, Brazil
| | - Leonardo Jacomo Valadares
- Núcleo de Pesquisas em Oncologia, Universidade Federal do Pará, Belém, Brazil
- Hospital Universitário João de Barros Barreto, Universidade Federal do Pará, Belém, Brazil
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Zhou S, Jin Q, Yao H, Ying J, Tian L, Jiang X, Yang Y, Jiang X, Gao W, Zhang W, Zhu Y, Cao W. Pain-Related Gene Solute Carrier Family 24 Member 3 Is a Prognostic Biomarker and Correlated with Immune Infiltrates in Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma: A Study via Integrated Bioinformatics Analyses and Experimental Verification. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2023; 2023:4164232. [PMID: 36798148 PMCID: PMC9928512 DOI: 10.1155/2023/4164232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/13/2022] [Accepted: 11/24/2022] [Indexed: 02/10/2023]
Abstract
The aim of this study was to explore cervical carcinoma and screen a suitable gene as the biomarker used for prognosis evaluation as well as pain therapy. Low expression levels of solute carrier family 24 member 3 (SLC24A3) was involved in the appearance and development of numerous malignancies. Nevertheless, the prognostic value of SLC24A3 expression with cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) patients remains uncertain. During the present study, SLC24A3 expression in CESC was retrieved from TCGA, GEO, and MSigDB databases. Based on TCGA and GEO profiles, we performed survival and difference analyses about SLC24A3 both in two GEO (GSE44001 and GSE63514) and TCGA-CESC cohorts (all p < 0.05), indicating that SLC24A3 was low expressed in tumors and associated with higher overall survival in CESC patients. Additionally, we programmed a series of analyses, including genomic profiling, enrichment analysis, immune infiltration analysis, and therapy-related analysis to identify the mechanism of the SLC24A3 in the process of cancer in CESC. Meanwhile, qRT-PCR was used to validate that the expression of SLC24A3 mRNA in Hela and SiHa cell lines was significantly lower than in PANC-1 and HUCEC cell lines. Our finding elucidated that the SLC24A3, a sodium-calcium regulator of cells, is an indispensable factor which can significantly influence the prognosis of patients with CESC and could provide novel clinical evidence to serve as a potential biological indicator for future diagnosis and pain therapy.
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Affiliation(s)
- Shuguang Zhou
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Linquan Maternity and Child Healthcare Hospital, Fuyang, Anhui 236400, China
| | - Qinqin Jin
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
| | - Hui Yao
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
| | - Jie Ying
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
| | - Lu Tian
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
| | - Xiya Jiang
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
| | - Yinting Yang
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
| | - Xiaomin Jiang
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
| | - Wei Gao
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
| | - Weiyu Zhang
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
| | - Yuting Zhu
- Department of Gynecology, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
- Department of Gynecology, Anhui Medical University Affiliated Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
| | - Wujun Cao
- Department of Clinical Laboratory, Anhui Province Maternity and Child Healthcare Hospital, Hefei, Anhui 230001, China
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Exploration of Immunogenic Cell Death-Associated Genes for Predicting Prognosis and Immunological Characteristics in Cervical Squamous Cell Carcinoma. JOURNAL OF ONCOLOGY 2023. [DOI: 10.1155/2023/1405635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Background. The tumor microenvironment (TME) has gradually entered the vision of researchers and is becoming a vital part of the occurrence of cervical squamous cell carcinoma (CSCC). However, understanding the specific composition of TME still confront enormous challenges, particularly immune and stromal components. Methods. In this study, we performed an unsupervised cluster analysis to determine the immunogenic cell death-associated subtype of CSCC patients. The differences in immune status, genomic alteration, and clinical outcomes between each subtype were compared. Subsequently, we screened vital prognostic factors. The HPA database was employed to verify the protein localization and the expression level between cancer and adjacent tissues. Results. CSCC patients were divided into three subtypes according to the expression of immunogenic cell death-associated genes. Cluster C has the highest survival rate because of the lower activation of tumor-related pathways. The immune score and stromal score of patients with Cluster B were the highest, so it may be considered that stromal tissue inhibits the anti-tumor effect of immunocytes. In addition, we constructed a risk score based on immunogenic cell death-associated genes to screen for vital markers. We systematically revealed the genomic alteration of vital markers. Conclusions. We have established a novel immunogenic cell death-associated risk scoring system in CSCC, and the expression of immunogenic cell death-associated genes may be a valuable biomarker for immunotherapy strategies. Our work may contribute to the development of new immunomodulators and develop new precision immunotherapies for CSCC.
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Xing X, Tian Y, Jin X. Immune infiltration and a necroptosis-related gene signature for predicting the prognosis of patients with cervical cancer. Front Genet 2023; 13:1061107. [PMID: 36685937 PMCID: PMC9852722 DOI: 10.3389/fgene.2022.1061107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 12/01/2022] [Indexed: 01/07/2023] Open
Abstract
Background: Cervical cancer (CC), the fourth most common cancer among women worldwide, has high morbidity and mortality. Necroptosis is a newly discovered form of cell death that plays an important role in cancer development, progression, and metastasis. However, the expression of necroptosis-related genes (NRGs) in CC and their relationship with CC prognosis remain unclear. Therefore, we screened the signature NRGs in CC and constructed a risk prognostic model. Methods: We downloaded gene data and clinical information of patients with cervical squamous cell carcinoma and endocervical adenocarcinoma (CESC) from The Cancer Genome Atlas (TCGA) database. We performed functional enrichment analysis on the differentially expressed NRGs (DENRGs). We constructed prognostic models and evaluated them by Cox and LASSO regressions for DENRGs, and validated them using the International Cancer Genome Consortium (ICGC) dataset. We used the obtained risk score to classify patients into high- and low-risk groups. We employed the ESTIMATE and single sample gene set enrichment analysis (ssGSEA) algorithms to explore the relationship between the risk score and the clinical phenotype and the tumor immune microenvironment. Results: With LASSO regression, we established a prognostic model of CC including 16 signature DENRGs (TMP3, CHMP4C, EEF1A1, FASN, TNF, S100A10, IL1A, H1.2, SLC25A5, GLTP, IFNG, H2AC13, TUBB4B, AKNA, TYK2, and H1.5). The risk score was associated with poor prognosis in CC. Survival was lower in the high-risk group than the low-risk group. The nomogram based on the risk score, T stage, and N stage showed good prognostic predictive power. We found significant differences in immune scores, immune infiltration analysis, and immune checkpoints between the high- and low-risk groups (p < 0.05). Conclusion: We screened for DENRGs based on the TCGA database by using bioinformatics methods, and constructed prognostic models based on the signature DENRGs, which we confirmed as possibly having important biological functions in CC. Our study provides a new perspective on CC prognosis and immunity, and offers a series of new targets for future treatment.
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Affiliation(s)
- Xuewei Xing
- The First Clinical Medical College, School of Medicine, Nanchang University, Nanchang, China,Department of Assisted Reproduction, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Yanan Tian
- Postgraduate Union Training Base of Jinzhou Medical University, Xiangyang No 1 People’s Hospital, Hubei University of Medicine, Xiangyang, China,Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetrics and Gynaecology, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
| | - Xuan Jin
- Department of Assisted Reproduction, The First Affiliated Hospital of Nanchang University, Nanchang, China,*Correspondence: Xuan Jin,
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Ghosh A, Ghosh A, Sinha A, Mathai S, Bhaumik J, Mukhopadhyay A, Maitra A, Biswas NK, Majumder PP, Sengupta S. Identification of HPV16 positive cervical cancer subsets characterized by divergent immune and oncogenic phenotypes with potential implications for immunotherapy. Tumour Biol 2023; 45:55-69. [PMID: 37599552 DOI: 10.3233/tub-220035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/22/2023] Open
Abstract
BACKGROUND Cervical cancers (CaCx), like many other cancer types, portray high molecular heterogeneity that affects response to therapy, including immunotherapy. In India and other developing countries, CaCx mortality rates are very high because women report to the clinics with advanced cancers in absence of organized screening programs. This calls for implementation of newer therapeutic regimens for CaCx, like immunotherapy, which is again not used commonly in such countries. OBJECTIVE Therefore, we focused on dissecting tumour immune heterogeneity, if any, identify immune gene-based biomarkers of heterogeneity and subsets of such cancers with the potential for immunotherapy. We also attempted to characterize the cancer-associated phenotypes of such subsets, including viral load, to decipher the relationship of tumour immunogenicity with oncogenicity. METHODS Employing RNA-seq analysis of 44 HPV16 positive CaCx patients, immune subtypes were identified by unsupervised hierarchical clustering of global immune-gene expression profiles. Proportions of tumor infiltrating immune cells in the tumor milieu were estimated, employing Cell-type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT), using gene expression data from RNA-seq. The oncogenic phenotypes of the immune subtypes of CaCx were deciphered through differential gene expression (DEGs) and pathway enrichment analysis. Viral load was estimated through TaqMan-based qRT-PCR analysis. RESULTS Analysis revealed the presence of two immune subtypes of CaCx, A (26/44; 59.09%) and B (18/44; 40.90%). Compared to Subtype-A, Subtype-B portrayed overexpression of immune genes and high infiltration of immune cells, specifically CD8+ T cells (p < 0.0001). Besides, a significant correlation between PD-1 and PD-L1 co-expression among Subtype-B, as opposed to Subtype-A, confirmed the interactive roles of these immune checkpoint molecules in Subtype B. Stepwise discriminant analysis pin-pointed ten immune-genes that could classify 100% of the patients significantly (p < 0.0001) into the two immune subtypes and serve as potential biomarkers of CaCx immunity. Differential gene expression analysis between the subtypes unveiled that Subtype-B was more biologically aggressive than Subtype-A, reflecting loss of structural integrity and promotion of cancer progression. The viral load was significantly lower in Subtype-B (average viral load = 10.74/100 ng of genomic DNA) compared to Subtype-A (average viral load = 14.29/100 ng of genomic DNA). Thus viral load and the ten-gene panel underscore their association with immunogenicity and oncogenicity. CONCLUSION Our study provides strong evidence that only a subset, about 41% of HPV16 positive CaCx patients in India, portray immune enrichment of the tumor milieu coupled with aggressive phenotypes. Such subtypes are therefore likely to benefit through checkpoint molecule-based or tumor infiltrating lymphocyte-based immunotherapy, which could be a leap forward in tackling aggressive forms of such CaCx in India and other developing countries.
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Affiliation(s)
- Abhisikta Ghosh
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Arnab Ghosh
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Abarna Sinha
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Sonia Mathai
- Tata Medical Center, Kolkata, West Bengal, India
| | | | - Asima Mukhopadhyay
- Kolkata Gynecological Oncology Trials and Translational Research Group, Kolkata, West Bengal, India
| | - Arindam Maitra
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Nidhan K Biswas
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Partha P Majumder
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
| | - Sharmila Sengupta
- National Institute of Biomedical Genomics, Kalyani, West Bengal, India
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Xie Y, Kong W, Zhao X, Zhang H, Luo D, Chen S. Immune checkpoint inhibitors in cervical cancer: Current status and research progress. Front Oncol 2022; 12:984896. [PMID: 36387196 PMCID: PMC9647018 DOI: 10.3389/fonc.2022.984896] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2022] [Accepted: 10/17/2022] [Indexed: 12/24/2022] Open
Abstract
Cervical cancer is the second most common gynecological malignant tumor endangering the health of women worldwide. Despite advances in the therapeutic strategies available to treat cervical cancer, the long-term prognosis of patients with recurrent and metastatic cervical cancer remains unsatisfactory. In recent years, immune checkpoint inhibitors (ICIs) have shown encouraging efficacy in the treatment of cervical cancer. ICIs have been approved for use in both first- and second-line cervical cancer therapies. This review summarizes the current knowledge of ICIs and the application of ICIs in clinical trials for the treatment of cervical cancer.
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Yang B, Wang Z, Deng Y, Xiao L, Zhang K. LncRNA LAMTOR5-AS1 sponges miR-210-3p and regulates cervical cancer progression. J Obstet Gynaecol Res 2022; 48:3171-3178. [PMID: 36173004 DOI: 10.1111/jog.15439] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Revised: 08/16/2022] [Accepted: 09/11/2022] [Indexed: 11/28/2022]
Abstract
AIM Cervical cancer has attracted increasing attention in recent years, and the incidence has shown a trend of younger age. Therefore, it is an effective method to regulate the progression of cervical cancer through new prognostic biomarkers. The purpose of this study was to evaluate the potential of lncRNA LAMTOR5-AS1 (LAMTOR5-AS1) as a prognostic biomarker and reveal its regulatory role in cervical cancer. METHODS A total of 120 patients with cervical cancer were selected as research subjects to verify the prognostic effect of LAMTOR5-AS1 in a series of experiments. The expression of LAMTOR5-AS1 in cervical cancer tissues and cells was determined by polymerase chain reaction assay. The proliferation, migration, and invasion ability of cervical cancer cells were evaluated by Cell Counting Kit-8 (CCK-8) and Transwell assay. Luciferase reporter gene detection was used to determine the mechanism of LAMTOR5-AS1 targeting miR-210-3p, and to reflect the prognostic value of LAMTOR5-AS1 according to statistical methods. RESULTS LAMTOR5-AS1 decreased in cervical cancer tissues, while miR-210-3p expression increased. In the study of cervical cancer cells, it was found that the LAMTOR5-AS1 sponge miR-210-3p was associated with the malignant progression of cervical cancer. Overexpression of LAMTOR5-AS1 could effectively inhibit the development of cervical cancer cells and might be chosen as a prognostic biomarker of cervical cancer. CONCLUSIONS LAMTOR5-AS1 sponges miR-210-3p and modulates the progression of cervical cancer, which predict the prognosis of cervical cancer patients.
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Affiliation(s)
- Bo Yang
- Department of Gynecologic Oncology (5), Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Ziyi Wang
- Department of Gynecologic Oncology (5), Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Yuping Deng
- Department of Gynecologic Oncology (5), Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Lingzhi Xiao
- Department of Gynecologic Oncology (5), Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
| | - Keqiang Zhang
- Department of Gynecologic Oncology (5), Hunan Cancer Hospital and The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, Hunan, China
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Liu X, Zhang X, Liu C, Mu W, Peng J, Song K. Immune and inflammation: related factor alterations as biomarkers for predicting prognosis and responsiveness to PD-1 monoclonal antibodies in cervical cancer. Discov Oncol 2022; 13:96. [PMID: 36171464 PMCID: PMC9519820 DOI: 10.1007/s12672-022-00560-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 09/14/2022] [Indexed: 11/26/2022] Open
Abstract
PURPOSE We aimed to elucidate the potential mechanisms of effective responsiveness to PD-1 monoclonal antibody and evaluate more reliable biomarkers to improve the ability to predict the populations of cervical cancer (CC) suitable for immunotherapy. METHODS Peripheral blood samples of CC patients undergoing anti-PD-1 therapy were collected before and after treatment. Differentially expressed genes (DEGs) were analyzed between partial response (PR) and progressive disease (PD) patients. A novel prognostic inflammation and immune-related response gene (IRRG) model was constructed and its prognostic role, correlation with tumor immunity and tumor mutation were evaluated. RESULTS DEGs in PR patient after treatment could predict the response to PD-1 monoclonal antibodies. Among PR-specific pathways, tumor immunity, leukocyte migration, and cytokine activities were prominently enriched. Additionally, an IRRG signature comprising CTLA4, AZU1, C5, LAT, CXCL2, GDF7, MPL, PPARG and CELA1 was established and validated to predict the prognosis of CC with great accuracy and specificity. This signature could reflect the tumor microenvironment (TME) and tumor mutational burden (TMB). We also found stimulated adaptive immunity and downregulated inflammation at baseline in patients with sensitive responses to PD-1 monoclonal antibody. CONCLUSION We developed an IRRG signature and verified that it was an independent prognostic factor for predicting survival and could reflect a sensitive response to PD-1 monoclonal antibody, which plays a nonnegligible role in the TME of CC. Further investigations are warranted to confirm that patients with stimulated adaptive immunity and downregulated inflammation at baseline could achieve a better survival benefit from PD-1 monoclonal antibody.
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Affiliation(s)
- Xihan Liu
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Gynecologic Oncology Key Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Xi Zhang
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Chang Liu
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China
- Gynecologic Oncology Key Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Wendi Mu
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China
| | - Jin Peng
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
| | - Kun Song
- Department of Obstetrics and Gynecology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
- Gynecologic Oncology Key Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong, China.
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11
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Xu HH, Wang HL, Xing TJ, Wang XQ. A Novel Prognostic Risk Model for Cervical Cancer Based on Immune Checkpoint HLA-G-Driven Differentially Expressed Genes. Front Immunol 2022; 13:851622. [PMID: 35924232 PMCID: PMC9341272 DOI: 10.3389/fimmu.2022.851622] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 05/31/2022] [Indexed: 12/24/2022] Open
Abstract
Human leukocyte antigen G (HLA-G) is a potential checkpoint molecule that plays a key role in cervical carcinogenesis. The purpose of this study was to construct and validate a prognostic risk model to predict the overall survival (OS) of cervical cancer patients, providing a reference for individualized clinical treatment that may lead to better clinical outcomes. HLA-G-driven differentially expressed genes (DEGs) were obtained from two cervical carcinoma cell lines, namely, SiHa and HeLa, with stable overexpression of HLA-G by RNA sequencing (RNA-seq). The biological functions of these HLA-G-driven DEGs were analysed by GO enrichment and KEGG pathway using the “clusterProfiler” package. The protein-protein interactions (PPIs) were assessed using the STRING database. The prognostic relevance of each DEG was evaluated by univariate Cox regression using the TCGA-CESC dataset. After the TCGA-CESC cohort was randomly divided into training set and testing set, and a prognostic risk model was constructed by LASSO and stepwise multivariate Cox regression analysis in training set and validated in testing set or in different types of cervical cancer set. The predictive ability of the prognostic risk model or nomogram was evaluated by a series of bioinformatics methods. A total of 1108 candidate HLA-G-driven DEGs, including 391 upregulated and 717 downregulated genes, were obtained and were enriched mostly in the ErbB pathway, steroid biosynthesis, and MAPK pathway. Then, an HLA-G-driven DEG signature consisting of the eight most important prognostic genes CD46, LGALS9, PGM1, SPRY4, CACNB3, PLIN2, MSMO1, and DAGLB was identified as a key predictor of cervical cancer. Multivariate Cox regression analysis showed that this signature is an independent risk factor for the overall survival of CESC patients. Kaplan-Meier survival analysis showed that the 5-year overall survival rate is 23.0% and 84.6% for the high-risk and low-risk patients, respectively (P<0.001). The receiver operating characteristic (ROC) curve of this prognostic model with an area under the curve (AUC) was 0.896 for 5 years, which was better than that of other clinical traits. This prognostic risk model was also successfully validated in different subtypes of cervical cancer, including the keratinizing squamous cell carcinoma, non-keratinizing squamous cell carcinoma, squamous cell neoplasms, non-squamous cell neoplasms set. Single-sample gene set enrichment (ssGSEA) algorithm and Tumor Immune Dysfunction and Exclusion (TIDE) analysis confirmed that this signature influence tumour microenvironment and immune checkpoint blockade. A nomogram that integrated risk score, age, clinical stage, histological grade, and pathological type was then built to predict the overall survival of CESC patients and evaluated by calibration curves, AUC, concordance index (C-index) and decision curve analysis (DCA). To summarize, we developed and validated a novel prognostic risk model for cervical cancer based on HLA-G-driven DEGs, and the prognostic signature showed great ability in predicting the overall survival of patients with cervical cancer.
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Affiliation(s)
- Hui-Hui Xu
- Medical Research Center, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, China
- Key Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Taizhou Hospital of Zhejiang Province, Linhai, China
- *Correspondence: Hui-Hui Xu, ; Xue-Quan Wang,
| | - Hui-Li Wang
- Department of Burn, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, China
| | - Tong-Jin Xing
- Department of Infectious Disease, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, China
| | - Xue-Quan Wang
- Key Laboratory of Minimally Invasive Techniques & Rapid Rehabilitation of Digestive System Tumor of Zhejiang Province, Taizhou Hospital of Zhejiang Province, Linhai, China
- Department of Radiation Oncology, Taizhou Hospital of Zhejiang Province, Wenzhou Medical University, Linhai, China
- *Correspondence: Hui-Hui Xu, ; Xue-Quan Wang,
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12
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Deymier S, Louvat C, Fiorini F, Cimarelli A. ISG20: an enigmatic antiviral RNase targeting multiple viruses. FEBS Open Bio 2022; 12:1096-1111. [PMID: 35174977 PMCID: PMC9157404 DOI: 10.1002/2211-5463.13382] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/31/2022] [Accepted: 02/15/2022] [Indexed: 11/25/2022] Open
Abstract
Interferon-stimulated gene 20 kDa protein (ISG20) is a relatively understudied antiviral protein capable of inhibiting a broad spectrum of viruses. ISG20 exhibits strong RNase properties, and it belongs to the large family of DEDD exonucleases, present in both prokaryotes and eukaryotes. ISG20 was initially characterized as having strong RNase activity in vitro, suggesting that its inhibitory effects are mediated via direct degradation of viral RNAs. This mechanism of action has since been further elucidated and additional antiviral activities of ISG20 highlighted, including direct degradation of deaminated viral DNA and translational inhibition of viral RNA and nonself RNAs. This review focuses on the current understanding of the main molecular mechanisms of viral inhibition by ISG20 and discusses the latest developments on the features that govern specificity or resistance to its action.
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Affiliation(s)
- Séverine Deymier
- Centre International de Recherche en Infectiologie (CIRI)Université de LyonInsermU1111Université Claude Bernard Lyon 1CNRSUMR5308École Nationale Supérieur de LyonFrance
| | | | | | - Andrea Cimarelli
- Centre International de Recherche en Infectiologie (CIRI)Université de LyonInsermU1111Université Claude Bernard Lyon 1CNRSUMR5308École Nationale Supérieur de LyonFrance
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13
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Qu X, Shi Z, Guo J, Guo C, Qiu J, Hua K. Identification of a novel six-gene signature with potential prognostic and therapeutic value in cervical cancer. Cancer Med 2021; 10:6881-6896. [PMID: 34498424 PMCID: PMC8495282 DOI: 10.1002/cam4.4054] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Revised: 05/09/2021] [Accepted: 05/19/2021] [Indexed: 12/11/2022] Open
Abstract
Introduction Cervical cancer has high mortality, high recurrence and poor prognosis. Although prognostic biomarkers such as clinicopathological features have been proposed, their accuracy and precision are far from satisfactory. Therefore, novel biomarkers are urgently needed for disease surveillance, prognosis prediction and treatment selection. Materials Differentially expressed genes (DEGs) between cervical cancer and normal tissues from three microarray datasets extracted from the Gene Expression Omnibus platform were identified and screened. Based on these DEGs, a six‐gene prognostic signature was constructed using cervical squamous cell carcinoma and endocervical adenocarcinoma data from The Cancer Genome Atlas. Next, the molecular functions and related pathways of the six genes were investigated through gene set enrichment analysis and co‐expression analysis. Additionally, immunophenoscore analysis and the QuartataWeb Server were employed to explore the therapeutic value of the six‐gene signature. Results We discovered 178 overlapping DEGs in three microarray datasets and established a six‐gene (APOC1, GLTP, ISG20, SPP1, SLC24A3 and UPP1) prognostic signature with stable and excellent performance in predicting overall survival in different subgroups. Intriguingly, the six‐gene signature was closely associated with the immune response and tumour immune microenvironment. The six‐gene signature might be used for predicting response to immune checkpoint inhibitors (ICIs) and the six genes may serve as new drug targets for cervical cancer. Conclusion Our study established a novel six‐gene (APOC1, GLTP, ISG20, SPP1, SLC24A3 and UPP1) signature that was closely associated with the immune response and tumour immune microenvironment. The six‐gene signature was indicative of aggressive features of cervical cancer and therefore might serve as a promising biomarker for predicting not only overall survival but also ICI treatment effectiveness. Moreover, three genes (UPP1, ISG20 and GLTP) within the six‐gene signature have the potential to become novel drug targets.
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Affiliation(s)
- Xinyu Qu
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Zhiwen Shi
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China
| | - Jingjing Guo
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Chenyan Guo
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Junjun Qiu
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
| | - Keqin Hua
- Department of Gynaecology, Obstetrics and Gynaecology Hospital, Fudan University, Shanghai, China.,Shanghai Key Laboratory of Female Reproductive Endocrine-Related Diseases, Shanghai, China
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