Related Experiment Video

Updated: Dec 11, 2025

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

7.4K

Expression profile of immune checkpoint genes and their roles in predicting immunotherapy response

Fei-Fei Hu1, Chun-Jie Liu2, Lan-Lan Liu2

  • 1Wuhan University of Science and Technology.

Briefings in Bioinformatics
|August 20, 2020
PubMed

Insights

This study reveals immune checkpoint gene (ICG) expression patterns across cancers. Upregulated ICGs correlate with better survival and predict response to immune checkpoint blockade (ICB) therapy.

Area of Science:

  • Immunology
  • Oncology
  • Genomics

Background:

  • Immune checkpoint genes (ICGs) are crucial for preventing self-reactivity and are promising targets for cancer therapies.
  • A comprehensive pan-cancer analysis of ICG expression and its link to immune checkpoint blockade (ICB) therapy response is needed.

Purpose of the Study:

  • To define ICG expression patterns across various cancers.
  • To investigate the correlation between ICG expression patterns, patient survival, and response to ICB therapy.
  • To develop a predictive model for ICB therapy response based on ICG expression.

Main Methods:

  • Utilized RNA-sequencing data from the FANTOM5 project to analyze ICG expression in tumor and immune cells.
  • Defined three distinct ICG expression patterns.
  • Developed and validated a predictive model (ICGe) using ICG expression features.

Main Results:

  • Identified robust ICG expression patterns across cancers.
  • Found that upregulated ICGs are associated with increased lymphocyte infiltration and improved patient prognosis.
  • The ICGe model demonstrated strong predictive performance (AUC 0.64-0.82) for ICB therapy response in validation datasets, outperforming other mRNA-based predictors.

Conclusions:

  • This research elucidates ICG expression patterns and their correlation with ICB therapy response.
  • The findings enhance understanding of ICG mechanisms in ICB and other cancer treatments.
  • The developed ICGe model offers a valuable tool for predicting patient response to immunotherapy.
Keywords:
expression profileimmune checkpointsimmunotherapy responsesurvival analysis

More Related Videos

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells09:32

Multiplexed Immunofluorescence Analysis and Quantification of Intratumoral PD-1+ Tim-3+ CD8+ T Cells

Published on: February 8, 2018

15.2K
Immunophenotyping of Orthotopic Homograft Syngeneic of Murine Primary KPC Pancreatic Ductal Adenocarcinoma by Flow Cytometry08:30

Immunophenotyping of Orthotopic Homograft Syngeneic of Murine Primary KPC Pancreatic Ductal Adenocarcinoma by Flow Cytometry

Published on: October 9, 2018

12.8K

Related Concept Videos

Cytotoxic T Cells-mediated Immune Response01:27

Cytotoxic T Cells-mediated Immune Response

Cytotoxic T cells are a vital component of the immune system. They have the remarkable ability to identify and target antigens on infected or abnormal cells. These antigens often originate from intracellular pathogens such as viruses or abnormal proteins cancer cells produce.
Immunological surveillance is the ability of immune cells to monitor and eliminate infected cells with intracellular pathogens, neoplastically transformed cells, and cells with non-self antigens. Cytotoxic T cells and NK...
6.3K
Tumor Immunotherapy01:27

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.
1.5K