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Related Concept Videos

Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
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.

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Related Experiment Video

Updated: Jun 12, 2026

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

A Single-Cell Guided Machine Learning Model Predicts Response to Immune Checkpoint Inhibitors in Gastric Cancer.

Wei Ning1,2, Yang Su2, Yue Hou1,2

  • 1State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, The Fourth Military Medical University, Xi'an, China 710032.

Journal of Chemical Information and Modeling
|June 11, 2026
PubMed
Summary
This summary is machine-generated.

Researchers identified T/NK cells linked to immune checkpoint inhibitor (ICI) resistance in gastric cancer. Restoring IRF1 function may overcome this resistance, offering a new therapeutic strategy.

Related Experiment Videos

Last Updated: Jun 12, 2026

Predictive Immune Modeling of Solid Tumors
08:50

Predictive Immune Modeling of Solid Tumors

Published on: February 25, 2020

Area of Science:

  • Immunology
  • Oncology
  • Genomics

Background:

  • Immune checkpoint inhibitors (ICIs) show limited efficacy in gastric cancer due to drug resistance.
  • Identifying cellular and molecular markers of resistance is crucial for improving treatment outcomes.

Purpose of the Study:

  • To construct a single-cell transcriptomic atlas of gastric cancer to identify T/NK cell subsets associated with ICI resistance.
  • To investigate the mechanisms underlying ICI resistance and identify potential therapeutic targets.

Main Methods:

  • Single-cell RNA sequencing (scRNA-seq) to create a gastric cancer atlas.
  • Bioinformatic analysis to identify cell populations and gene expression patterns.
  • Machine learning model development for predicting immunotherapy response.
  • In vitro experiments to validate the role of IRF1.

Main Results:

  • A subset of T/NK cells associated with ICI resistance was identified.
  • These resistant cells showed impaired MHC-I recognition, early T cell differentiation, and elevated histidine metabolism.
  • The transcription factor IRF1 was identified as a suppressor of immune resistance.
  • A machine learning model accurately predicted patient responses to immunotherapy across independent cohorts (AUCs 0.75 and 0.73).
  • IRF1 demonstrated in vitro ability to inhibit cancer cell invasion and promote apoptosis.

Conclusions:

  • Targeting the identified T/NK cell subset or restoring IRF1 function are promising strategies to overcome ICI resistance in gastric cancer.
  • The study provides insights into cellular and molecular determinants of immune resistance in gastric cancer.