Functional status and quality of life in older patients with advanced esophageal squamous cell cancer receiving second-line nivolumab ± ipilimumab therapy: A post hoc analysis of the phase 2, multicenter RAMONA study
Bibliographic record
Abstract
INTRODUCTION: The phase 2 RAMONA study demonstrated that second-line nivolumab ± ipilimumab immunotherapy was feasible and effective in older patients with advanced esophageal squamous cell cancer (ESCC). Here, we presented results from functional status (FS) and quality-of-life (QoL) analyses. MATERIALS AND METHODS: Patients aged ≥65 years with advanced ESCC and disease progression following first-line therapy were enrolled for study treatment with nivolumab ± ipilimumab. Geriatric assessments (GA) consisting of G8 and GoGo/SlowGo evaluation, and quality of life (QoL) assessments with EORTC QLQ-C30 questionnaires were conducted at baseline and during the treatment. A post hoc analysis was performed to compare therapy efficacy, toxicity, and QoL between age groups (≥70 years vs. <70 years) and functionality groups (G8 > 14 vs. ≤14 and GoGo vs. SlowGo). RESULTS: In 66 treated patients with a median age of 70.5 years, older patients had non-inferior overall survival and tumor response compared to younger patients, with no increased treatment-related adverse events. Fitter patients (G8 > 14, GoGo) had a clinically, yet not statistically significant, survival advantage than less fit patients (G8 ≤ 14, SlowGo) patients. Moreover, FS by G8 and GoGo/SlowGo significantly correlated with QoL. Overall, QoL was impaired at baseline but remained stable in all scales over the course of immunotherapy. DISCUSSION: The administration of nivolumab ± ipilimumab second-line immunotherapy in older patients with ESCC did not show age-dependent effects and maintained QoL. GA could identify functional deficits and limitations of QoL and should be implemented in the context of immunotherapy. CLINICALTRIALS: gov: NCT03416244.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".