Related Experiment Video
Updated: Jan 12, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Clinical Outcomes and Predictive Factors in NSCLC after Surgery: Findings from the RAC-TAC Study
Alessio Bruni1, Davide Franceschini2, Beatrice Marini2
1Radiotherapy Unit, Department of Oncology and Hematology, University Hospital of Modena, Modena, Italy.
Purpose:
Recent trials like LUNG-ART and PORT-C have redefined postoperative radiation therapy (PORT) for pN2 non-small cell lung cancer (NSCLC). To assess the acute and long-term toxicities of contemporary PORT techniques, the Italian Association of Radiotherapy and Oncology Lung Cancer Study Group initiated a multicenter observational study, analyzing clinical factors influencing local control, distant control, and overall survival.
Methods:
Data from 6 Italian centers were reviewed for NSCLC patients undergoing PORT between 2015 and 2020. Acute and late toxicity outcomes were previously reported. This study correlates clinical variables with local recurrence, distant recurrence, and survival outcomes.
Results:
Local recurrence correlated with the number of lymph nodes removed (P = .003) and patient age (P = .006). Distant recurrence was linked to the number of positive lymph nodes (P = .001) and T stage (P = .009). Overall survival was significantly associated with the number of positive nodes (P = .006) and ECOG performance status (P < .001). A risk stratification system categorized patients into low, intermediate, and high-risk groups, with the low-risk group showing significantly better progression-free survival (P < .001), distant control (P = .004), and overall survival (P = .008).
Conclusions:
Distant metastases remain the main recurrence type. The extent of lymph node dissection and the count of positive nodes significantly influence recurrence patterns. These findings support integrating systemic and local therapies to improve outcomes in pN2 NSCLC.
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