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

Lymph node metastasis-related circHELQ promotes progression and acts as a nanotherapeutic target in colorectal cancer.

Journal of nanobiotechnology·2026
Same author

OSBPL3 promotes colorectal cancer progression through modulation of TGF-β signaling and immune cell infiltration.

Translational cancer research·2026
Same author

CCPD under sparsity and low-rank constraints: multi-frequency dynamic functional network connectivity analysis in schizophrenia.

Frontiers in neuroscience·2026
Same author

Targeting DOT1L Reactivates HERV-K to Drive Cell-Autonomous and Paracrine Senescence in Adenocarcinoma of the Esophagogastric Junction.

Cancer research·2026
Same author

Efficacy and safety of ALA/MLA photodynamic therapy for superficial and nodular basal cell carcinoma: a systematic review and meta-analysis.

Frontiers in oncology·2026
Same author

Impact of prior cancer history on survival in patients with adenocarcinoma of esophagogastric junction: a retrospective cohort study using SEER database.

Translational cancer research·2026

Related Experiment Video

Updated: Oct 27, 2025

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

290

Optimal examined lymph node count in node-negative colon cancer should be determined.

Huolun Feng1,2, Zejian Lyu2, Weijun Liang3

  • 1Department of General Surgery, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, Guangdong 510080, PR China.

Future Oncology (London, England)
|July 21, 2021
PubMed
Summary

Examining 15 lymph nodes is crucial for predicting survival in node-negative colon cancer patients. More examined lymph nodes (ELNs) significantly correlate with better overall survival, aiding in accurate prognosis.

Keywords:
colon cancerexamined lymph nodenode negativeoverall survival

More Related Videos

Quantification of Tumor Cell Adhesion in Lymph Node Cryosections
06:09

Quantification of Tumor Cell Adhesion in Lymph Node Cryosections

Published on: February 9, 2020

12.6K
Clinical Application of Single-Surgeon, Three-Port, Laparoscopic Resection for Colorectal Cancer with Natural Orifice Specimen Extraction
08:26

Clinical Application of Single-Surgeon, Three-Port, Laparoscopic Resection for Colorectal Cancer with Natural Orifice Specimen Extraction

Published on: March 24, 2023

819

Related Experiment Videos

Last Updated: Oct 27, 2025

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

290
Quantification of Tumor Cell Adhesion in Lymph Node Cryosections
06:09

Quantification of Tumor Cell Adhesion in Lymph Node Cryosections

Published on: February 9, 2020

12.6K
Clinical Application of Single-Surgeon, Three-Port, Laparoscopic Resection for Colorectal Cancer with Natural Orifice Specimen Extraction
08:26

Clinical Application of Single-Surgeon, Three-Port, Laparoscopic Resection for Colorectal Cancer with Natural Orifice Specimen Extraction

Published on: March 24, 2023

819

Area of Science:

  • Oncology
  • Surgical Pathology

Background:

  • Assessing the prognostic value of examined lymph nodes (ELNs) in colon cancer is critical.
  • Determining an optimal number of ELNs can improve survival predictions for node-negative patients.

Purpose of the Study:

  • To investigate the association between the number of examined lymph nodes (ELNs) and overall survival in colon cancer.
  • To identify the optimal cutoff point for ELNs for prognostic stratification in node-negative colon cancer.

Main Methods:

  • Utilized Cox proportional hazards models to analyze survival data.
  • Employed locally weighted scatterplot smoothing (LOWESS) to visualize hazard ratios.
  • Applied the Chow test to determine the optimal cutoff point for ELNs.

Main Results:

  • Overall survival demonstrated a significant positive correlation with an increased number of ELNs, even after adjusting for covariates.
  • Chow's test identified 15 as the optimal cutoff for ELNs in node-negative colon cancer.
  • This cutoff of 15 ELNs was validated in both the Surveillance, Epidemiology, and End Results (SEER) database and a single-center cohort, showing significant hazard ratios (0.701 and 0.563, respectively).

Conclusions:

  • The study suggests that examining a minimum of 15 lymph nodes is optimal for prognostic stratification in node-negative colon cancer.
  • This finding aids in more accurate risk assessment and treatment planning for patients with colon cancer.