scholarly journals Identification of Key Genes and Pathways Associated with Tumor Immune Microenvironment during the Chemoradiotherapy of Cervical Cancer Using Bioinformatics Analysis

Author(s):  
M. Gong
2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e18028-e18028
Author(s):  
Peter Van Dam ◽  
Yannick Verhoeven ◽  
Jorrit De Waele ◽  
Julie Jacobs ◽  
Pieter-Jan Van Dam ◽  
...  

e18028 Background: Conventional treatments for cervical cancer (CC) have reached a plateau and only limited progress for targeted therapy has been made over the last decades, resulting in a meager five-year survival rate of only 17% for the advanced stages. To improve long-term benefits for the patient, a promising hot field of research in oncology that opens new perspectives is immunotherapy. Even though CC has shown to be immunogenic, only a minority of patients respond to this type of treatment. In recent years, the RANKL/RANK signaling pathway has been implicated as a key immune modulating factor in the tumor microenvironment, allowing the cancer cells to evade the immune response by disrupting the immune-intrinsic crosstalk. Both RANKL and RANK are highly co-expressed in CC, which correlates with inferior clinicopathological parameters and an increased risk of death. Targeting this pathway may therefore be of great value in the treatment of CC and the quest to release the brakes on the immune system, thereby reinvigorating the tumors’ susceptibility to immunotherapy. Hence, we aim to elucidate the effects of anti-RANKL therapy on the tumor-immune microenvironment in CC. Methods: Two cervical biopsies were taken before and after anti-RANKL therapy in CC patients. One fresh biopsy was immediately processed to a single cell suspension for flow cytometry (FCM) using enzymatic digestion, while the other was formalin-fixed and paraffin-embedded for immunohistochemistry (IHC) and RNA sequencing. For FCM and IHC, the samples were stained with different markers for RANK/L signaling, the immune infiltrate and immune checkpoints. FCM was performed on a BD FACSAria IIä cytometer and analyzed with FlowJo. IHC staining was performed on a Ventana Benchmark Ultra and Ventana Discovery Ultra and scored by a pathologist or by HistoScientist using Visiopharm, while RNA sequencing was performed with the Truseq RNA exome panel on the NextSeq 500 system. Results: Our preliminary results show a relative increase of the CD8+ population, while a trend is observed in increased lymphocyte activation after anti-RANKL therapy. Updated results will be presented in more detail at the conference, including RNA sequencing data. Conclusions: Preliminary findings indicate that anti-RANKL therapy modifies the tumor-immune microenvironment in CC. Higher patient accrual will allow to dissect targets for combination therapy with anti-RANKL to further optimize this treatment strategy.


2019 ◽  
Vol 16 (6) ◽  
pp. 800-812 ◽  
Author(s):  
Xuan Wu ◽  
Li Peng ◽  
Yaqin Zhang ◽  
Shilian Chen ◽  
Qian Lei ◽  
...  

2020 ◽  
Vol Volume 13 ◽  
pp. 13275-13283
Author(s):  
Huan Chen ◽  
Xi Wang ◽  
Huanhuan Jia ◽  
Yin Tao ◽  
Hong Zhou ◽  
...  

2021 ◽  
Author(s):  
Xinyue Fan ◽  
Chunbo He

AbstractImmunotherapy has changed the standard of treatment for many cancers. However, the same treatments showed disappointing outcomes in cervical cancer so far. Thus, understanding the mechanisms that support the immune tolerance of cervical cancer will provide a way to design new strategies to enhance immunotherapies. Here, we characterized cellular compositions of the immune infiltrates in cervical cancer and investigated if the tumor immune landscape is a predictor for patient prognosis. The fraction of ten immune infiltrates of cervical and other cancers were analyzed by using QuanTIseq software base on the bulk mRNA sequencing data from The Cancer Genome Atlas Program (TCGA). Cervical cancer is one of the cancers that had the lowest percentage of total immune infiltrates, but it had the highest ratio for CD8 T cells to all immune infiltrates among all solid cancers. Both the principal components (PCA) analysis and heatmap with dendrogram analysis showed that cervical cancer had a similar immune infiltrated microenvironment with other squamous cell carcinomas, such as head and neck cancer and lung squamous cell cancer. The PCA and heatmap with dendrogram analysis showed that cervical cancer and HPV positive head and neck cancers were clustered more closer and partially separated with HPV negative head and neck cancer. Further analysis showed that HPV-positive cervical and head and neck cancers had a significantly higher level of CD8 T cells and M1-liked macrophages, but a lower level of M2 macrophages. The survival analysis showed that a higher level of CD8 T cells was associated with a better patient prognosis. However, immuno-suppressive immune infiltrates including M2 macrophages and Treg cells that are known to suppress anti-tumor immunity also demonstrated positive patient overall survival. Our study provided a conceptual framework to understand the tumor immune microenvironment of cervical cancer. Our results also demonstrated that the immune infiltrates can be a prognosis marker for cervical cancer.Simple SummaryCervical cancer is the most common gynecologic cancer and the fourth leading cause of cancer-related death in women worldwide. There are relatively limited treatment options for late-stage cervical cancer. Immunotherapy is a new therapeutic treatment developed with great success in treating many cancers, but the same treatment has not been producing satisfactory results in many cases of cervical cancer. In the present study, we provided a comprehensive immune characterization specifically for cervical cancer. We determined the prognostic value of a specific subtype of tumor-infiltrating immune cells for clinical outcomes and demonstrated that HPV infection affected the immune cell infiltration and induce pro-inflammatory phenotypes. Our study provides a systematic insight into the tumor immune microenvironment of cervical cancers and offers a conceptual framework for the future design of rational combination treatment strategies to improve immunotherapy outcomes.


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