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Related Experiment Video

Updated: Jun 27, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

CAR T targets: AI takes the wheel.

Corina Amor1

  • 1Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA; Howard Hughes Medical Institute, Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA.

Cell
|June 25, 2026
PubMed
Summary

Identifying new targets for CAR T cell therapy is challenging. A large language model-assisted framework helped discover glycoprotein non-metastatic melanoma protein B (GPNMB) as a promising target for melanoma, leukemia, and colorectal cancer.

Area of Science:

  • Oncology
  • Immunotherapy
  • Bioinformatics

Background:

  • Chimeric antigen receptor (CAR) T cell therapies offer a promising avenue for cancer treatment.
  • A significant hurdle in CAR T cell therapy development is the identification of safe and effective tumor targets.
  • Current methods for target identification are often time-consuming and inefficient.

Purpose of the Study:

  • To develop and implement a novel computational framework for streamlining the identification of CAR T cell therapy targets.
  • To identify and validate novel GPNMB (glycoprotein non-metastatic melanoma protein B) as a potential CAR T cell target.
  • To assess the efficacy of targeting GPNMB across various cancer types.

Main Methods:

  • Development of a large language model (LLM)-assisted scoring framework to evaluate potential CAR T cell targets.

Related Experiment Videos

Last Updated: Jun 27, 2026

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

  • Computational analysis to predict and prioritize targets based on safety and efficacy profiles.
  • Experimental validation of GPNMB as a target in preclinical models of melanoma, leukemia, and colorectal cancer.

    • Main Results:

    • The LLM-assisted framework successfully identified GPNMB as a high-confidence target.
    • GPNMB was validated as a targetable antigen across diverse cancer types, including melanoma, leukemia, and colorectal cancer.
    • This approach significantly accelerated the target identification process.

    Conclusions:

    • A large language model-assisted scoring framework can effectively streamline the identification of CAR T cell targets.
    • GPNMB represents a promising pan-cancer target for CAR T cell therapy development.
    • This study highlights the potential of AI in advancing immunotherapy research and clinical translation.