Abstract 1055P
Background
Multiple trials revealed that immunotherapy (IO) improved survival endpoints in several metastatic solid tumors. However, concomitant benefit in QoL outcomes has been less explored. Herein, we examined QoL results in phase III randomized controlled trials (RCTs) investigating IO in metastatic cancers and their correlation with OS and PFS outcomes.
Methods
We conducted a systematic review to search for articles of RCTs testing IO published in PubMed-indexed journals up to 12/2023. Only trials assessing IO in metastatic setting, reporting QoL results in primary or secondary publications and at least one survival outcome between OS and PFS were selected for analysis. For each RCT, we evaluated whether global QoL was “superior,” “inferior,” or with “non-statistically significant difference” in the experimental arm compared to the control arm. Also, we assessed whether OS and PFS were improved or not by experimental treatment. Fisher’s exact test was used for statistical analysis.
Results
Only 71 out of 140 identified RCTs (50.7%) respected selection criteria. Superior or inferior global QoL in experimental arm was found in 30/71 (42.3%) and 1/71 (1.4%) RCTs, respectively. No statistically significant difference between study arms was observed in the remaining 40/71 (56.3%) RCTs. Of note, we found a statistically significant association between QoL and OS improvements (p=0.0045). More in detail, this association was significant in trials testing IO alone (p=0.0097). Instead, QoL results did not positively correlate with PFS outcomes (p=0.46). Next, we found that experimental treatments led to superior QoL only in 30/59 (50.8%) trials with positive results and in 1/12 (8.3%) RCTs with negative results (p = 0.0090). Interestingly, 29/59 (49.2%) positive RCTs did not lead to QoL improvements.
Conclusions
Our study reveals a positive association of QoL results with OS outcomes in RCTs testing IO in metastatic cancers, particularly for trials testing IO alone. About half of positive trials, potentially leading to new drug approval, did not prompt QoL amelioration. These findings further emphasize the relevance of an accurate assessment of QoL in oncology clinical trials.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Has not received any funding.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
927P - Preliminary results of the BROADEN study: Burden of human papillomavirus-related head and neck cancers
Presenter: Laia Alemany
Session: Poster session 03
928P - Radiomic analysis based on machine learning of multi-MR sequences to assess early treatment response in locally advanced nasopharyngeal carcinoma
Presenter: Lei Qiu
Session: Poster session 03
929P - Advanced laryngeal squamous cell carcinoma prognosis and machine learning insights
Presenter: Tala Alshwayyat
Session: Poster session 03
Resources:
Abstract
930P - Real-world data analysis of oncological outcomes in patients with pathological extranodal extension (ENE) in OSCC: A proposal to refine the pathological nodal staging system
Presenter: Abhinav Thaduri
Session: Poster session 03
931P - Deep learning models for predicting short-term efficacy in locally advanced nasopharyngeal carcinoma
Presenter: Kexin Shi
Session: Poster session 03
932P - Accuracy and prognostic implications of extranodal extension on radiologic imaging in HPV-positive oropharyngeal cancer (HNCIG-ENE): A multinational, real-world study
Presenter: Hisham Mehanna
Session: Poster session 03
933P - Prediction of survival in patients with head and neck merkel cell carcinoma: Statistical and machine-learning approaches
Presenter: Jehad Yasin
Session: Poster session 03
934P - Harnessing artificial intelligence on real-world data to predict recurrence in head and neck squamous cell carcinoma patients: The HNC-TACTIC study
Presenter: Hisham Mehanna
Session: Poster session 03
936P - Chronic pain in cancer survivors: Head and neck versus other cancers
Presenter: Rong Jiang
Session: Poster session 03