Papillomavirus Immune Evasion Strategies Target the Infected Cell and the Local Immune System

Zhou, Chenhao; Tuong, Zewen Kelvin; Frazer, Ian H.

doi:10.3389/fonc.2019.00682

Cited by 166 publications

(160 citation statements)

References 211 publications

(236 reference statements)

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“…By ESTIMATE algorithm, we first found that high immune scores were related to better OS, which is consistent with the results of previous studies showing that immune cells infiltrating the tumor tissue may inhibit cancer cells (Cho et al, 2014;Gorter et al, 2015). The study also found HPV-positive cases had higher immune scores than HPV-negative cases, which might be associated with HPV-related microenvironment components regulation, such as increase of regulatory immune responses and decrease of effector immune responses (Zhou et al, 2019). A total of 1367 DEGs between the low-and high-immune score groups were identified, and 401 DEGs among them were related to survival outcomes of cervical cancer patients.…”

Section: Discussionsupporting

confidence: 89%

Integrative Bioinformatics Approaches to Screen Potential Prognostic Immune-Related Genes and Drugs in the Cervical Cancer Microenvironment

Zhao

et al. 2020

Front. Genet.

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In developing countries, cervical cancer is still the major cause of cancer-related death among women. To better understand the correlation between tumor microenvironment (TME) and prognosis of cervical cancer, we screened 1367 differentially expressed genes (DEGs) of cervical cancer samples in The Cancer Genome Atlas (TCGA) database using Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) algorithm-derived immune scores. Then, we extracted 401 tumor immune microenvironment (TIME)-related DEGs that related to patients' survival outcomes. Protein-protein interaction (PPI) network and functional enrichment analysis revealed that the prognostic genes mainly participated in myeloid leukocyte activation, adaptive immune response regulation, and receptor signaling pathways. A total of 79 key prognostic DEGs were obtained through PPI network. A TF-lncRNA-miRNA-mRNA regulatory network was constructed to explore the potential regulatory mechanism. 4 genes (CCR7, PD-1, ZAP70, and CD28) were validated in another independent cohort of cervical cancer from the Gene Expression Omnibus (GEO) database. Finally, potential drugs for key prognostics DEGs were predicted using DrugBank. In conclusion, we obtained a list of potential prognostic TIME-related genes and potential predicted drugs by integrative bioinformatics approaches. A comprehensive understanding of prognostic genes within the TIME may provide new strategies for cervical cancer treatment.

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Section: Discussionsupporting

confidence: 89%

Integrative Bioinformatics Approaches to Screen Potential Prognostic Immune-Related Genes and Drugs in the Cervical Cancer Microenvironment

Zhao

et al. 2020

Front. Genet.

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“…If metastasis and infiltration occur, the treatment effect of cervical cancer patients will become very unsatisfactory. In recent years, immunotherapy has performed well in a variety of cancers including cervical cancer [25][26][27] . Blocking PD-L1 / PD-1 signaling pathway to attack tumor cells expressing PD-L1 is the current mainstream method 28 .…”

Section: Discussionmentioning

confidence: 99%

29 immune-related genes pairs signature predict the prognosis of cervical cancer patients

Nie

et al. 2020

Sci Rep

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To screen the key immune genes in the development of cervical cancer, construct immune related gene pairs (IRGPs), and evaluate their influence on the prognosis of cervical cancer. Tumor Genome Atlas (TCGA) database and geo database were downloaded as training set and validation set respectively, and immune related gene data were downloaded from immport. IRGPs model is established by machine learning, and the model is analyzed and evaluated. Using the Uclcan to analyze the immune genes expression in cervical cancer, and to further explore the association with the expression level and the clinical stage and prognosis of cervical cancer. According to the analysis of training set, we identified 29 IRGPs as key gene pairs and constructed the model. The AUC value of the model was greater than 0.9, and the model group survival rate was conspicuous different (P < 0.001). The reliability of the model was confirmed in the validation group. Our IRGPs play an important role in the occurrence and development of cervical cancer, and can be used as a prognostic marker and potential new target of cervical cancer. Cervical cancer is one of the four most common gynecological tumors 1. Every year, at least 569,847 women in the world are diagnosed with cervical cancer, and more than 311,365 people are killed 2. In recent years, the incidence rate of cervical cancer has decreased significantly through universal screening and health knowledge. However, the incidence rate of cervical cancer is still high in developing countries 3. For women with low education in less developed areas, the coverage rate of cervical cancer screening is still very low 4. Squamous cell carcinoma is the most common type of cervical cancer, accounting for 75% of cervical cancer cases, while adenocarcinoma only accounts for about 20%. In developing countries, 70% of cervical cancer patients have local infiltration or metastasis, which has led to the high mortality of cervical cancer in developing countries. Early cervical cancer is usually treated by radical hysterectomy. When there are risk factors such as lymph node metastasis and endometriosis that may lead to recurrence, they will be treated with chemotherapy 5. The standard treatment for patients with locally advanced cervical cancer is conventional radiation therapy(CRT) 6. The five-year survival rate of patients with locally advanced cervical cancer can be as high as 75-85% after surgical resection, radiotherapy, chemotherapy, CRT, and so on 7. However, at present, all treatment methods are not effective for patients with paraaortic lymph node metastasis, and their three-year progression free survival time (PFS) and total survival time (OS) are 34% and 39% 8,9 , respectively. The five-year survival rate of cervical cancer patients with recurrence and metastasis was as low as 15%. Limited treatment is the main reason for this situation. Now, palliative chemotherapy is the most commonly used for patients with metastatic and recurrent cervical cancer 10. The median survival time of patients with metastati...

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“…С другой стороны, было показано, что иммунная толерантность способствует персистенции вируса и прогрессированию рака [5]. В то же время не исключено влияние двух основных классов генов, участвующих в развитии РШМ, -онкогенов и генов-супрессоров опухолей.…”

Section: материалы и методы / Materials and Methodsunclassified

Genetic predisposition for cervical cancer

Rotaru

Lapochikina

2020

Akušerstvo, ginekologiâ i reprodukciâ

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Aim: to examine the role of genetic factors and the human papillomavirus (HPV) in the development of cervical neoplasia based on current literature data on viral carcinogenesis.Materials and methods. A systematic review of the literature about genetic predisposition to cervical cancer (CC) based on electronic data was performed: the search was carried out in International Scientific Databases (MNBD) PubMed/MEDLINE, and manual search was also carried out in the lists of primary sources. Only full-text publications were selected.Results and discussion. CC is a multifactorial disease assumed to have a genetic predisposition component of the host and is caused by a persistent HPV-infection of high oncogenic risk. The immune system plays a major role in HPV infection. Modifications in cellular immune response mechanisms are responsible for the failure to eliminate HPV. On the other hand, immune tolerance promotes viral persistence and cancer progression. The main genes involved in the development of CC are oncogenes, tumor suppressor genes (Rb and TP53), cytokines (IL, IFNG), chemokines (CXCL), genes involved in antigen processing, as well as the contribution of each polymorphism or even haplotypes play a role in cervical carcinogenesis.Conclusion. Research results demonstrate the role of genetic polymorphisms of cytokines, chemokines, receptors, genes involved in antigen processing, and tumor suppressors genes in chronization of HPV-infection.

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Papillomavirus Immune Evasion Strategies Target the Infected Cell and the Local Immune System

Cited by 166 publications

References 211 publications

Integrative Bioinformatics Approaches to Screen Potential Prognostic Immune-Related Genes and Drugs in the Cervical Cancer Microenvironment

Integrative Bioinformatics Approaches to Screen Potential Prognostic Immune-Related Genes and Drugs in the Cervical Cancer Microenvironment

29 immune-related genes pairs signature predict the prognosis of cervical cancer patients

Genetic predisposition for cervical cancer

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