An immunohistochemical study of CD1a and CD83-positive infiltrating dendritic cell density in cervical neoplasia

An Immunohistochemical study of CD83 positive dendritic cell density in human benign and malignant uterine specimens

Introduction and Aim: Dendritic cells (DCs) are heterogenous group of accessory cells that function as specialized forms of antigen-presenting cells in human body. A thorough knowledge of the DC population of the human uterus, especially the CD83 population would be very useful for an effective understanding of the immune protection of the endometrium during different phases of menstrual cycle and in the pathological conditions of the uterus. Materials and Methods: A prospective study was conducted in a tertiary care referral medical college hospital in South India. Women in the age group of 35 to 50 years, who underwent hysterectomy were included in the study. Immunohistochemical study on the presence of mature CD83+DCs was carried out in the processed uterine specimens. The number of CD83 cells/20 high power fields in each of the specimen was calculated and reviewed by two independent reviewers. Results: About 43 hysterectomy specimens obtained from patients undergoing hysterectomy for benign and malignant conditions of uterus were included in the study. Fibroid uterus was the most common indication for hysterectomy. The minimum and maximum DCs were 12 and 720 DCs per 20 HPF respectively, with an overall mean of 109.28. The mean DCs amongst benign specimens was 1.2 DCs and in the malignant specimens was 22.65 DCs per HPF, with a P value of 0.0001.  Conclusion: Mature dendritic cells are seen in abundance in malignant and pre-malignant tissues of human uterus. A reduction in number of CD83+ DCs was observed in patients with proliferative and secretory endometrium.  

Decreased CD1a + and CD83 + cells in tonsillar squamous cell carcinoma regardless of HPV status

Dendritic cells (DCs) are specialized antigen-presenting cells that play a critical role in the immune response against human papillomavirus (HPV) infection, and represent a therapeutic target in cancer.

Accumulation of dysfunctional tumor-infiltrating PD-1+ DCs links PD-1/PD-L1 blockade immunotherapeutic response in cervical cancer

Various predictive biomarkers are needed to select candidates for optimal and individualized treatments. Tumor‐infiltrating immune cells have gained increasing interest in cancer research for the prediction of therapeutic response and survival. However, the role of dendritic cells (DCs) in PD-1 blockade immunotherapy remains unclear. In this study, we identified a population of PD-1+ DCs in the tumor microenvironment (TME) of cervical cancer (CC). The accumulation of PD-1+ DCs in cervical tumors was correlated with advanced stages, elevated preoperative squamous cell carcinoma antigen levels and lymph-vascular space invasion. PD-1 expression was induced on activated tumor-associated DCs (TADCs) in vitro compared with their resting counterparts. This PD-1+ DC population was characterized by reduced secretion of cytokines (IL-12, TNF-α, and IL-1β) and dysfunctional induction of T cell proliferation and cytotoxic reaction. PD-1 blockade significantly reinvigorated PD-1+ DCs to release IL-12, TNF-α, and IL-1β compared with PD-1- DCs. TILs from samples with higher PD-1+ DC infiltration could be induced to achieve a greater killing effect of PD-1 blockade treatment. Our findings suggested a role for PD-1+ DCs in immune surveillance dysfunction and CC progression. PD-1+ DC density in the TME may serve as a diagnostic factor for predicting the optimal beneficiaries of PD-1/PD-L1 blockade immunotherapy in CC.

A prognostic model for cervical cancer based on ferroptosis-related genes

BACKGROUND

Ferroptosis is widely involved in the occurrence and development of various cancers, but a specific mechanism involving ferroptosis in cervical cancer is still unclear.

METHODS

Based on the expressions of ferroptosis-related genes, a prognostic model was constructed using lasso regression, and the overall predictive performance of this model was verified. An in-depth analysis of the prognostic model was then conducted.

RESULTS

The prognostic model showed good predictive performance in both the validation and test sets. Mechanism analysis indicated that differences in the tumor microenvironment were the basis of the predictive ability of the model. Notably, CA9 mRNA was significantly overexpressed in cervical carcinoma, tissues but not in normal cervix tissues. A pair of ceRNAs (CA9/ULBP2) could be involved in the carcinogenesis and development of cervical cancer, and the potential target might be hsa-miR-34a. In addition, predicted miRNAs and drugs for these DEGs were identified.

CONCLUSIONS

We constructed a prognostic model with good predictive performance, based on the expression of ferroptosis-related genes. Further research found that the ceRNA pairs of ULBP2/CA9 could regulate cervical cancer through hsa-miR-34a. These results identified the mechanism of ferroptosis in cervical cancer, and might provide novel therapeutics for cervical cancer patients.

E6‑regulated overproduction of prostaglandin E2 may inhibit migration of dendritic cells in human papillomavirus 16‑positive cervical lesions

Continuous human papillomavirus (HPV) infection is a critical cause of cervical lesions; however, the specific mechanism is currently not clear. E6 is one of the most important oncoproteins associated with HPV, which regulates synthases in the production of prostaglandin E2 (PGE₂). Notably, PGE₂ has been reported to be upregulated in cervical lesions. An insufficient number of mature dendritic cells (DCs), which is unable to cause an effective immune response, is an important cause of cervical lesions. Therefore, this study explored the possible causes of HPV16-positive cervical lesions by identifying the relationship between E6, PGE₂ and DCs. Firstly, the distribution and status of DCs in clinical biopsy specimens and animal models were analyzed with immuno-histochemistry and flow cytometry, which demonstrated that the migratory ability of DCs was inhibited in HPV16-positive cervical lesions. Furthermore, using immunohistochemistry, western blotting and ELISA, it was revealed that as the degree of cervical lesions increased, the expression of PGE₂ and its synthases increased. Subsequently, as determined using Transwell and 3D migration assays, it was revealed that a high concentration of PGE₂ inhibited the migration of DCs, which may explain the phenomenon observed in cervical lesions. Notably, E6 was identified to regulate PGE₂ expression. The in vivo experiments indicated that E6 may increase the expression levels of PGE₂ in cervical lesions, which could eventually induce inhibition of the migration of DCs. In conclusion, the present study suggested that E6 regulated overproduction of PGE₂, which may induce inhibition of DC migration in HPV16-positive cervical lesions.

Murine HPV16 E7-expressing transgenic skin effectively emulates the cellular and molecular features of human high-grade squamous intraepithelial lesions

Currently available vaccines prevent HPV infection and development of HPV-associated malignancies, but do not cure existing HPV infections and dysplastic lesions. Persistence of infection(s) in immunocompetent patients may reflect induction of local immunosuppressive mechanisms by HPV, providing a target for therapeutic intervention. We have proposed that a mouse, expressing HPV16 E7 oncoprotein under a Keratin 14 promoter (K14E7 mice), and which develops epithelial hyperplasia, may assist with understanding local immune suppression mechanisms that support persistence of HPV oncogene-induced epithelial hyperplasia. K14E7 skin grafts recruit immune cells from immunocompetent hosts, but consistently fail to be rejected. Here, we review the literature on HPV-associated local immunoregulation, and compare the findings with published observations on the K14E7 transgenic murine model, including comparison of the transcriptome of human HPV-infected pre-malignancies with that of murine K14E7 transgenic skin. We argue from the similarity of i) the literature findings and ii) the transcriptome profiles that murine K14E7 transgenic skin recapitulates the cellular and secreted protein profiles of high-grade HPV-associated lesions in human subjects. We propose that the K14E7 mouse may be an appropriate model to further study the immunoregulatory effects of HPV E7 expression, and can facilitate development and testing of therapeutic vaccines.

Cervical cancer cell-derived interleukin-6 impairs CCR7-dependent migration of MMP-9-expressing dendritic cells

Cervical carcinogenesis is a consequence of persistent infection with high-risk human papillomaviruses (HPVs). Recent studies indicate that HPV-transformed cells actively instruct their microenvironment to promote carcinogenesis. Here, we demonstrate that cervical cancer cells activate monocytes to produce their own CCL2 for further monocyte recruitment and reprogram their function during differentiation and maturation to dendritic cells (DCs). Our data show that cervical cancer cells suppress the induction of the chemokine receptor CCR7 in phenotypically mature DCs and impair their migration toward a lymph node homing chemokine, required to initiate adaptive immune responses. We confirmed the presence of CD83(+)CCR7(low) DCs in cancer biopsies. The second factor essential for DC migration, matrix-metalloproteinase MMP-9, which also has vasculogenic and protumorigenic properties, is not suppressed but upregulated in immature as well as mature DCs. We identified interleukin-6 (IL-6) as a crucial cervical cancer cell-derived mediator and nuclear factor kappaB (NF-jB) as the central signaling pathway targeted in DCs. Anti-IL-6 antibodies reverted not only NF-jB inhibition and restored CCR7-dependent migration but also blocked MMP-9 induction. This is the first report demonstrating the dissociation of CCR7 and MMP-9 expression in phenotypically mature CD83(+) DCs by cancer cells. Our results show that cervical cancer cells actively shape the local microenvironment. They induce the accumulation of myeloid cells and skew their function from immune activation to local production of protumorigenic MMP-9. Neutralizing anti-IL-6 antibodies can counteract this functional dysbalance and should therefore be considered for adjuvant cervical cancer therapy.

Clinical evaluation of systemic and local immune responses in cancer: time for integration

The immune system has a dual role in cancer development and progression. On the one hand, it can eradicate emerging malignant cells, but on the other hand, it can actively promote growth of malignant cells, their invasive capacities and their ability to metastasize. Immune cells with predominantly anti-tumor functionality include cells of the innate immune system, such as natural killer cells, and cells of adaptive immunity, such as conventional dendritic cells and cytotoxic T lymphocytes. Immune cells with predominantly pro-tumor functionality include a broad spectrum of cells of the innate and adaptive immune system, such as type 2 neutrophils and macrophages, plasmacytoid DC, myeloid-derived suppressor cells and regulatory T lymphocytes. The presence of immune cells with tumor-suppressive and tumor-promoting activity in the cancer microenvironment and in peripheral blood is usually associated with good clinical outcomes and poor clinical outcomes, respectively. Significant advances in experimental and clinical oncoimmunology achieved in the last decade open an opportunity for the use of modern morphologic, flow cytometric and functional tests in clinical practice. In this review, we describe an integrated approach to clinical evaluation of the immune status of cancer patients for diagnostic purposes, prognostic/predictive purposes (evaluation of patient prognosis and response to treatment) and for therapeutic purposes.

High-risk human papillomavirus E6 inhibits monocyte differentiation to Langerhans cells

High-risk human papillomaviruses (HPVs) cause a variety of malignancies of the mucosal epithelium. However, the local immune evasion strategies used by HPV-transformed cells remain unclear. Here, we examined the effect of HPV-positive cancer cells on human peripheral blood monocytes, which are precursors of Langerhans cells, key antigen-presenting cells in the squamous epithelium. HPV-positive cervical cancer cells and HPV-E6 expressing cells inhibited monocyte differentiation to Langerhans cells in a contact-dependent manner. Unlike Langerhans cells, monocytes that differentiated in the presence of HPV16 E6-expressing cells exhibited high levels of endocytic activity. Our results suggest that cells infected by high-risk HPV evade immune surveillance by blocking the differentiation of monocytes into competent antigen presenting cells.

Langerhans cell density in cervical intraepithelial neoplasia associated with human papillomavirus infection in HIV-infected and HIV-noninfected Brazilian women

OBJECTIVE

Local immunity plays an important role in the cervical defense mechanisms that prevent the development of cervical intraepithelial neoplasia. The objective of this study was to determine the involvement of local immunity by evaluating Langerhans cell (LC) density in cervical biopsies of human immunodeficiency virus (HIV)-positive and HIV-negative women.

MATERIALS AND METHODS

A cross-sectional study was developed by including HIV-positive and HIV-negative women. All patients presented human papillomavirus DNA from the uterine cervix, which was detected by polymerase chain reaction or hybrid capture II. Cervical biopsies were assessed for LC density and cervical intraepithelial neoplasia. Langerhans cells were identified by immunohistochemistry using anti-CD1a and anti-S100 antibodies. Associations among cervical LC density, the type of cervical lesion, CD4 lymphocyte count, and HIV viral load were analyzed using logistic regression (SPSS, version 12.0).

RESULTS

Seventy-seven women (40 seropositive and 37 seronegative) were enrolled. The mean ± SD LC density identified with the anti-CD1a antibody was 0.80 ± 0.7 cells versus 2.6 ± 1.6 cells (P < 0.0001), whereas the mean ± SD LC density identified by the anti-S100 antibody was 1.3 ± 1.0 cells versus 3.6 ± 1.7 cells (P < 0.0001) among the HIV-positive and HIV-negative women, respectively. There were no associations between LC density and HIV viral load, CD4 lymphocyte count, or human papillomavirus genotype (P > 0.05). In a logistic regression model, HIV infection was the only factor independently associated with a decrease in LC density.

CONCLUSIONS

Human immunodeficiency virus infection was found to be an independent factor that explains the decrease in local immunity in the uterine cervix, which could allow the development of cervical lesions. This effect was not associated with CD4 lymphocyte count or HIV viral load.

Context-dependent transcriptional regulations between signal transduction pathways

BACKGROUND

Cells coordinate their metabolism, proliferation, and cellular communication according to environmental cues through signal transduction. Because signal transduction has a primary role in cellular processes, many experimental techniques and approaches have emerged to discover the molecular components and dynamics that are dependent on cellular contexts. However, omics approaches based on genome-wide expression analysis data comparing one differing condition (e.g. complex disease patients and normal subjects) did not investigate the dynamics and inter-pathway cross-communication that are dependent on cellular contexts. Therefore, we introduce a new computational omics approach for discovering signal transduction pathways regulated by transcription and transcriptional regulations between pathways in signaling networks that are dependent on cellular contexts, especially focusing on a transcription-mediated mechanism of inter-pathway cross-communication.

RESULTS

Applied to dendritic cells treated with lipopolysaccharide, our analysis well depicted how dendritic cells respond to the treatment through transcriptional regulations between signal transduction pathways in dendritic cell maturation and T cell activation.

CONCLUSIONS

Our new approach helps to understand the underlying biological phenomenon of expression data (e.g. complex diseases such as cancer) by providing a graphical network which shows transcriptional regulations between signal transduction pathways. The software programs are available upon request.