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.

Abstract

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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