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Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells
Published on: February 8, 2018
Analysis of PD-1 related immune transcriptional profile in different cancer types
Jun Shang1,2, Qian Song3,4,2, Zuyi Yang5,2
11Department of Thoracic Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Rd, Wuhan, 430022 People's Republic of China.
Background:
Programmed cell death 1 (PD-1) functions as an immune checkpoint in the process of anti-tumor immune response. The PD-1 blockade is now becoming a fundamental part in cancer immunotherapy. So it's essential to elicit the PD-1 related immune process in different types of cancer.
Methods:
The Cancer Genome Atlas was used to collect the RNA-seq data of 33 cancer types. The microenvironment cell populations-counter was used to analyze the immune cell infiltrates. KEGG and GO analysis were performed to investigate PD-1 associated biological process. Kaplan-Meier survival curves and Cox's proportional hazards model were performed for prognostic value analysis.
Results:
We demonstrated that PD-1 expression varied in different cancer types. The uveal melanoma had a low PD-1 expression and poor infiltrated with immune cells. But it showed the strong correlation of PD-1 with the most types of immune cells. The PD-1 demonstrated a robust relationship with other immunomodulators and showed its involvement in critical functions correlated with anti-tumor immune pathways. Survival analysis indicated the PD-1 expression suggested different prognosis in different cancer types.
Conclusions:
Our investigations promote a better understanding of the PD-1 blockade and provide PD-1 related personized combined immunotherapy for different types of cancer patients.
Insights
Programmed cell death 1 (PD-1) blockade is key in cancer immunotherapy. This study reveals PD-1 expression varies across cancers, impacting immune cell infiltration and patient prognosis, guiding personalized treatments.
Area of Science:
- Immunology
- Oncology
- Genomics
Background:
- Programmed cell death 1 (PD-1) acts as an immune checkpoint crucial for anti-tumor immune responses.
- PD-1 blockade is a cornerstone of modern cancer immunotherapy, necessitating a deeper understanding of its role in diverse cancers.
Purpose of the Study:
- To investigate the expression patterns of PD-1 across various cancer types.
- To analyze the correlation between PD-1 expression, immune cell infiltration, and immunomodulators.
- To evaluate the prognostic value of PD-1 expression in different cancers.
Main Methods:
- Utilized The Cancer Genome Atlas for RNA-seq data from 33 cancer types.
- Employed microenvironment cell populations-counter for immune cell infiltration analysis.
- Conducted KEGG and GO analyses for PD-1 associated biological processes.
- Performed Kaplan-Meier survival curves and Cox's proportional hazards model for prognostic analysis.
Main Results:
- Significant variation in PD-1 expression observed across different cancer types.
- Uveal melanoma exhibited low PD-1 expression and poor immune cell infiltration but showed a strong correlation between PD-1 and immune cells.
- PD-1 demonstrated a robust relationship with other immunomodulators, indicating involvement in anti-tumor immune pathways.
- Survival analysis revealed that PD-1 expression is associated with different prognoses in various cancer types.
Conclusions:
- The findings enhance the understanding of PD-1 blockade mechanisms in cancer.
- This research supports the development of personalized combination immunotherapies tailored to individual cancer types based on PD-1 expression.
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