Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Radiomics in Gastric Cancer: Advancing Precision Medicine.

Journal of gastric cancer·2026
Same author

Genomic instability drives POSTN<sup>+</sup> myofibroblasts via STING-WNT axis to promote immunosuppression and PARPi resistance in ovarian cancer.

Science translational medicine·2026
Same author

Hepatic SNHG9 links gut microbiota to liver protection in drug-induced liver injury.

Nature communications·2026
Same author

Trends in gastric cancer incidence, mortality, and survival by histologic subtype in the United States (2000-2022) and a contemporary Chinese cohort.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology·2026
Same author

All-trans retinoic acid destabilizes ADAR1 protein through retinoylation-mediated USP7 dissociation and improves immunotherapy in pancreatic cancer.

Nature communications·2026
Same author

Construction of a Prognostic Model and Subgroup Characteristics Related to Hypoxia-Immune Evasion in T Cells of Hepatocellular Carcinoma Based on Single-Cell and Bulk RNA Analysis.

Journal of hepatocellular carcinoma·2026

Related Experiment Video

Updated: Jan 13, 2026

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

4.4K

Artificial Intelligence and Multimodality Data Integration Decipher Tertiary Lymphoid Structure Maturity in Gastric

Wenxuan Wu1,2, Zhenzhen Xun3, Yaxuan Han1

  • 1Department of Gastrointestinal Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Cancer Research
|October 28, 2025
PubMed
Summary
This summary is machine-generated.

A new AI tool quantitatively assesses tertiary lymphoid structure (TLS) maturity in gastric cancer. Higher TLS maturity correlates with better patient survival, revealing key immune interactions for enhanced antitumor immunity.

More Related Videos

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach
07:16

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach

Published on: April 25, 2025

743
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

482

Related Experiment Videos

Last Updated: Jan 13, 2026

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment
13:01

Industrialized, Artificial Intelligence-guided Laser Microdissection for Microscaled Proteomic Analysis of the Tumor Microenvironment

Published on: June 3, 2022

4.4K
Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach
07:16

Three-Dimensional Imaging of Tumor-Bearing Tissue Using the Iterative Bleaching Extends Multiplexity Approach

Published on: April 25, 2025

743
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

482

Area of Science:

  • Oncology
  • Immunology
  • Computational Biology

Background:

  • Tertiary lymphoid structures (TLS) are crucial in the gastric cancer tumor microenvironment.
  • Clinical assessment of TLS is difficult, hindering research into their maturation.
  • Automated tools are needed for TLS identification and understanding their role.

Purpose of the Study:

  • To develop an AI tool for quantitative characterization of TLS maturity in gastric cancer.
  • To investigate the correlation between TLS maturity and patient survival.
  • To elucidate the immune circuits involved in mature TLS formation and function.

Main Methods:

  • A transformer-based deep learning model was created for whole-slide image analysis.
  • The model was applied to a cohort of 253 gastric cancer patients.
  • Integrated analysis included single-cell RNA sequencing, multiplex IHC, flow cytometry, and coculture assays.

Main Results:

  • Higher TLS maturity was significantly correlated with improved patient survival.
  • A key immune circuit involving CD8+ tissue-resident memory T cells and B cells (CXCL13-CXCR5 axis) was identified in mature TLS.
  • This circuit enhances T cell-mediated cytotoxicity via granzyme B upregulation.

Conclusions:

  • A clinically applicable AI tool for TLS maturity assessment was established.
  • Key immune interactions regulating TLS maturation and antitumor immunity in gastric cancer were uncovered.
  • Findings offer potential for guiding treatment strategies in gastric cancer.