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

Tinengotinib (TT-00420) inhibits tumor growth and overcomes multidrug resistance in gastrointestinal cancers.

Molecular cancer therapeutics·2026
Same author

Genomic analysis of oesophageal carcinoma (EC) identifies recurrent mutations in histone methyltransferases as a distinctive subset.

Oncogene·2026
Same author

Association of Baseline Glymphatic-Related MRI Metrics With Neoadjuvant Chemotherapy-Related Cognitive Impairment in Patients With Breast Cancer.

Journal of magnetic resonance imaging : JMRI·2026
Same author

Efficacy and safety of infigratinib in patients with refractory advanced gastric or gastroesophageal junction adenocarcinoma harboring FGFR2 gene amplification: a single-arm, multicenter phase 2 trial.

British journal of cancer·2026
Same author

Surufatinib plus toripalimab for patients with advanced solid tumors and disease progression after prior immunotherapy: an open-label multi-cohort phase 2 trial.

Cancer immunology, immunotherapy : CII·2026
Same author

Chemokine-Guided Biomimetic Mn/Ce Nanozymes for Immunomodulation and Cardioprotection in Doxorubicin-Induced Cardiomyopathy.

Advanced healthcare materials·2026

Related Experiment Video

Updated: May 15, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

185

Predicting Regional Lymph Node Metastases at CT in Microsatellite Instability-High Colon Cancer.

Zhen Guan1, Zheng-Hang Wang2, Xiao-Yan Zhang1

  • 1Department of Radiology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, No. 52 Fu Cheng Rd, Hai Dian District, Beijing 100142, China.

Radiology
|April 8, 2025
PubMed
Summary

A new CT-based lymph node staging method (dcN) accurately identifies metastasis in microsatellite instability-high colon cancer, outperforming standard staging and predicting immunotherapy response.

More Related Videos

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis
09:28

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis

Published on: May 12, 2019

10.0K
Advanced Animal Model of Colorectal Metastasis in Liver: Imaging Techniques and Properties of Metastatic Clones
11:43

Advanced Animal Model of Colorectal Metastasis in Liver: Imaging Techniques and Properties of Metastatic Clones

Published on: November 30, 2016

12.5K

Related Experiment Videos

Last Updated: May 15, 2025

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

185
Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis
09:28

Patient-derived Orthotopic Xenograft Models for Human Urothelial Cell Carcinoma and Colorectal Cancer Tumor Growth and Spontaneous Metastasis

Published on: May 12, 2019

10.0K
Advanced Animal Model of Colorectal Metastasis in Liver: Imaging Techniques and Properties of Metastatic Clones
11:43

Advanced Animal Model of Colorectal Metastasis in Liver: Imaging Techniques and Properties of Metastatic Clones

Published on: November 30, 2016

12.5K

Area of Science:

  • Oncology
  • Radiology
  • Gastroenterology

Background:

  • Early detection of lymph node metastasis is critical for microsatellite instability-high (MSI-H) colon cancer.
  • Computed tomography (CT) has limited accuracy in evaluating lymph node status for this cancer type.

Purpose of the Study:

  • To assess if CT-detected lymph node distribution patterns can enhance lymph node evaluation in MSI-H colon cancer.
  • To develop and validate a novel CT-based lymph node staging system.

Main Methods:

  • A retrospective study involving patients with MSI-H colon cancer who underwent pretreatment CT and surgery.
  • Development of a distribution-based clinical lymph node stage (dcN) using logistic regression and correlation analysis.
  • Validation of dcN performance and comparison with standard clinical lymph node stage (cN) in an independent test set.

Main Results:

  • Specific lymph node distribution patterns (jammed cluster, partial fusion) were significantly associated with metastasis.
  • The novel dcN method demonstrated superior accuracy (90%) and specificity (97%) compared to cN (46% accuracy, 26% specificity) in the test set.
  • dcN showed moderate interobserver agreement (κ = 0.67) and was associated with complete response to neoadjuvant immunotherapy.

Conclusions:

  • The distribution-based clinical lymph node stage (dcN) significantly improves the identification of lymph node metastases in MSI-H colon cancer.
  • dcN serves as a valuable tool for predicting treatment response, particularly to neoadjuvant immunotherapy, in this patient population.