Dr Luca Bertolaccini (European Institute of Oncology, Italy) reminded delegates of his team’s previous retrospective study which analysed long-term outcomes of synchronous oligometastatic NSCLC patients who had been treated with radical surgery, with the intent of identifying factors associated with better outcomes. The longest survival times were observed in patients with synchronous lung oligometastatic/non-pN2 disease. The team’s next step was to identify preoperative risk factors which seemed to be associated with better post-surgical outcomes. Dr Bertolaccini shared the results of this multicentre retrospective study.
The median overall survival and progression-free survival periods were estimated by the reverse Kaplan-Meier method in a retrospective review of 281 patient records. Using a stratified backward stepwise Cox regression model, a prognostic risk classification scheme consisting of 4 groups was created. The parameters identified as contributory to prognosis were age, site of metastasis, clinical nodal status, and induction treatment. Using these 4 parameters, the following risk classification scheme was proposed:
- Group A: no risk factors present;
- Group B: 1 risk factor present;
- Group C: 2 risk factors present; and
- Group D: ≥3 risk factors present.
Patients in Group A had the longest overall survival, while patients in Group D had the shortest overall survival.
Dr Bertolaccini emphasised that for optimal outcomes in oligometastatic NSCLC, patient selection is critical to identify appropriate subsets. He proposed that, following validation of this preoperative risk classification scheme, it may be used to support decision making regarding patient management, as well as to assist appropriate patient selection for future clinical trials.
- Bertolaccini L. PREC multicentre retrospective study: A preoperative risk classification for synchronous oligometastatic non-small cell lung cancer. MA 01.03, WCLC 2021, 8–14 September.
Copyright ©2021 Medicom Medical Publishers
Posted on
Previous Article
« Prognostic factors in immunotherapy for advanced lung cancer Next Article
Genomic profiling of NSCLC may be predictive of immunotherapy response »
« Prognostic factors in immunotherapy for advanced lung cancer Next Article
Genomic profiling of NSCLC may be predictive of immunotherapy response »
Table of Contents: WCLC 2021
Featured articles
Atezolizumab promising for treating NSCLC brain metastases
Novel Therapy Approaches
Atezolizumab promising for treating NSCLC brain metastases
Interim results of nivolumab + rucaparib in SCLC
Pembrolizumab shows potential in TKI-resistant EGFR+ NSCLC, not ALK+
Real-world data shows inferior survival compared with IMpower150 results
NSCLC metastases also benefit from nivolumab + ipilimumab + chemo
Trial explores potential benefit of adding atezolizumab to usual care for mesothelioma
COVID-19
COVID-19 sees decreased lung cancer diagnoses and use of support services in US
Experiences of lung cancer patients during COVID-19: survey finds room for improvement
Evidence-Based Advocacy
GLCC survey: Increased demand for patient-support services during COVID-19 pandemic
Lung Cancer Europe patient survey identifies gaps in lung cancer care
Discrepancies and lack of guideline adherence in EGFR+ NSCLC treatment
Response Predictors
Baseline CD8+ T-cells predict NSCLC immunotherapy safety
Genomic profiling of NSCLC may be predictive of immunotherapy response
New preoperative classification scheme proposed for oligometastatic NSCLC
Prognostic factors in immunotherapy for advanced lung cancer
Related Articles
February 2, 2021
COVID has led to a drop in lung cancer diagnosis, more deaths
September 8, 2020
MET-amplified advanced NSCLC responds well to MET inhibitor capmatinib
© 2023 Medicom Medical Publishers. All rights reserved. Terms and Conditions | Privacy Policy