A novel Bayesian approach for assessing associations between ECOG performance status (ECOG-PS) and patient-reported outcomes (PROs) in patients with gastric or gastroesophageal junction (GC/GEJC) adenocarcinoma: Post hoc analysis from the RATIONALE-305 trial.

M Marcia Roxana Cruz-Correa (University of Puerto Rico, School of Medicine, and Pan American Center for Oncology Trials, San Juan, PR, Puerto Rico) M Markus H. Moehler (Department of Internal Medicine I, Johannes Gutenberg-University Clinic, Mainz, Germany) C Crystal S. Denlinger (Fox Chase Cancer Center, Philadelphia, PA) K Ken Kato (Institute for Protein Research, The University of Osaka, 3-2 Yamadaoka, Suita-shi, Osaka 565-0871, Japan) A Afsaneh Barzi (BeOne Medicines, Ltd., San Mateo, CA) B Bryant Barnes (BeOne Medicines Ltd, San Carlos, CA) G Gisoo Barnes (4BeOne Medicines Ltd, San Carlos, United States) J Joselyn Angeles-Figueroa (BeOne Medicines, Ltd, and University of Pennsylvania, Philadelphia, PA) B Bruce Morrison (BeOne Medicines, Ltd., San Mateo, CA) T Timothy Victor (2University of Pennsylvania, Philadelphia, United States)

Abstract

e16044 Background: Oncology clinicians rely on ECOG-PS to guide trial eligibility and monitor disease impact, yet it provides only a limited, clinician-rated view of a patient’s functional status and is subject to inter-rater variability. We previously demonstrated that, at baseline (pretreatment), patients with ECOG-PS 1 had significantly worse patient-reported GHS/QoL, lower physical functioning, and greater pain compared with those with ECOG-PS 0. Here, we present a novel time-varying Bayesian approach to quantify the probability that longitudinal changes in ECOG-PS track PRO trajectories during treatment in patients with first-line GC/GEJC from the RATIONALE-305 trial. Methods: Bayesian hierarchical regression models with patient-level trajectories were used to estimate longitudinal ECOG-PS–PRO associations. Seven EORTC QLQ-C30 domains (GHS/QoL, physical and role functioning, fatigue, pain, constipation, and diarrhea) plus the EQ-5D VAS were analyzed. ECOG-PS was modeled as a continuous, time-varying predictor, with coefficients reflecting the expected PRO change per 1-level ECOG-PS change over time (eg, 0 to 1, 1 to 2, or 1 to 0). Posterior probabilities and 95% credible intervals (CrIs) were estimated for ECOG-PS and for treatment effects comparing tislelizumab + chemotherapy (T+C) versus placebo + chemotherapy (P+C). Results: 532 patients with longitudinal ECOG-PS and PRO assessments were analyzed. Lower (better) ECOG-PS was strongly and positively associated with better longitudinal PRO scores in five of seven QLQ-C30 domains—GHS/QoL, physical and role functioning, fatigue, and pain—as well as the EQ-5D VAS. For ECOG-PS, the 95% CrIs for fatigue (1.67, 4.46), pain (0.73, 3.15), physical functioning (2.36, 4.40), GHS/QoL (2.92, 5.89), and EQ-5D VAS (2.40, 4.72) were above 0, with corresponding posterior probabilities ≥99.9%, indicating a very high probability of ECOG-PS–PRO alignment over time independent of treatment. After adjusting for ECOG-PS, treatment effects favored T+C versus P+C for GHS/QoL (95% CrI [−4.88, −0.01]; posterior probability 97.6%) and pain (95% CrI [−5.09, 0.14]; 96.8%), indicating treatment-driven improvements independent of ECOG-PS. Conclusions: Longitudinal improvements toward lower (better) ECOG-PS levels were strongly associated with more favorable PRO trajectories, while treatment with T+C conferred additional improvements in GHS/QoL and pain beyond what was reflected by ECOG-PS. These empirical findings support incorporating PROs alongside ECOG-PS to give clinicians a more complete view of baseline functional and symptom burden, improve patient-centered monitoring, and strengthen trial eligibility and stratification. Clinical trial information: NCT03777657 .

Article Details

Volume / Issue Vol. 44, Issue 16_suppl
Published June 01, 2026
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (10)

M

Marcia Roxana Cruz-Correa

University of Puerto Rico, School of Medicine, and Pan American Center for Oncology Trials, San Juan, PR, Puerto Rico

M

Markus H. Moehler

Department of Internal Medicine I, Johannes Gutenberg-University Clinic, Mainz, Germany

C

Crystal S. Denlinger

Fox Chase Cancer Center, Philadelphia, PA

K

Ken Kato

Institute for Protein Research, The University of Osaka, 3-2 Yamadaoka, Suita-shi, Osaka 565-0871, Japan

A

Afsaneh Barzi

BeOne Medicines, Ltd., San Mateo, CA

B

Bryant Barnes

BeOne Medicines Ltd, San Carlos, CA

G

Gisoo Barnes

4BeOne Medicines Ltd, San Carlos, United States

J

Joselyn Angeles-Figueroa

BeOne Medicines, Ltd, and University of Pennsylvania, Philadelphia, PA

B

Bruce Morrison

BeOne Medicines, Ltd., San Mateo, CA

T

Timothy Victor

2University of Pennsylvania, Philadelphia, United States