Related Experiment Video
Updated: Aug 21, 2025

Robot-assisted Total Mesorectal Excision and Lateral Pelvic Lymph Node Dissection for Locally Advanced Middle-low Rectal Cancer
Published on: February 12, 2022
TNM classification of malignant tumors: Eighth edition for retroperitoneal liposarcoma. Ways to improve
Sergey N Nered1, Alexander Yu Volkov1, Nikolay A Kozlov2
1Department of Abdominal Surgery, FSBI «National Medical Research Center of Oncology named after N.N. Blokhin» of the Ministry of Health of Russia, Moscow, Russian Federation.
Aim:
This study was aimed at assessing the prognostic significance of the "TNM: Classification of Malignant Tumors" eighth edition (TNM8) in the most common retroperitoneal tumors - liposarcoma.
Methods:
The study included 192 patients with retroperitoneal liposarcoma (RLPS). The distribution of patients by stages and survival in accordance with the TNM8 were studied.
Results:
In the TNM8, only the degree of malignancy of the tumor has a prognostic value. The T-category does not reflect the actual size of the RLPS and is considered as T4 in 93%, which leads to inadequate staging. During the 15-year period, there were no cases with stages II and IIIA, and the survival rate was estimated only in patients with stages I and IIIB. The tumor node metastasis (TNM) classification with new values of the T-category was proposed by us, which demonstrated a more adequate distribution of patients by stages and the reliability of intergroup differences in the survival rate.
Conclusion:
It is advisable to create a special TNM classification for RLPS, which makes up more than half of all retroperitoneal sarcomas. The TNM8 does not accurately reflect the prevalence of the tumor and the prognosis in RLPS. Revision of the T-staging is necessary to improve the accuracy of the prognosis in RLPS. The modified by us TNM classification demonstrated a more adequate distribution of patients by stages.
More Related Videos
07:13Comparison 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
07:15A Mouse Model of Incompletely Resected Soft Tissue Sarcoma for Testing Neoadjuvant Therapies
Published on: July 28, 2020