Impact of infusion timing (IT) on survival outcomes across gastrointestinal (GI) malignancies: A multicenter analysis of circadian rhythm (CR) effects on immune checkpoint inhibitor (ICI) activity.

F Fares Jamal (Mayo Clinic Arizona, Scottsdale, Arizona, United States) A Amal Youssef (Mayo Clinic Arizona, Scottsdale, Arizona, United States) A Abdullah Alsulaiman (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) A Angelo Pirozzi (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) O Oluseyi Abidoye (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) D Daniel H. Ahn (Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ) H Harry H. Yoon (Department of Oncology, Mayo Clinic Rochester, Rochester, MN) J Jason S. Starr (Division of Hematology and Oncology, Mayo Clinic Florida, Jacksonville, FL) R Robert R. McWilliams M Mojun Zhu (Mayo Clinic Arizona, Phoenix, AZ) K Katrina Sophia Pedersen (Mayo Clinic Comprehensive Cancer Center, Rochester, MN) H Hao Xie (Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences) C Conor O'Donnell (School of Physics, University College Dublin 1 , Dublin 4, Dublin D04 P7W1,) Z Zhaohu Jin (Division of Medical Oncology, Mayo Clinic Rochester, Rochester, MN) T Thorvardur Ragnar Halfdanarson (Department of Oncology, Mayo Clinic Rochester, Rochester, MN) N Nguyen H. Tran (Mayo Clinic Florida, Jacksonville, FL) L Lionel Aurelien Kankeu Fonkoua (Mayo Clinic, Rochester, MN) M Mitesh Borad T Tanios S. Bekaii-Saab M Mohamad Bassam Sonbol

Abstract

837 Background: A recent randomized trial suggested that CR may influence ICI activity in patients with lung cancer. However, the same has not been established in GI cancers, where reports have shown mixed results with variable definitions of 'early' vs 'late' IT. We evaluated multiple approaches to assess the impact of CR on first-line ICI in GI malignancies. Methods: This retrospective study included patients from three Mayo Clinic sites (N=455). Both previously reported IT cutoffs and a new cutoff derived from ROC analysis were evaluated. Patients were categorized by the median of all ITs, the median of the first four ITs, and whether ≥20% of ITs occurred before the identified cutoff. Univariate and multivariate Cox regression (adjusting for age, MSI status, type of cancer, metastasis status, number of cycles, and receipt of chemotherapy with ICI) assessed associations with OS. KM analyses were performed to illustrate survival differences. The primary endpoint was OS. Results: When patients were categorized based on whether ≥20% of infusions occurred before 14:00 (ROC-derived cutoff), a significant association with OS was observed. On univariate analysis, early infusion timing was associated with improved survival (HR 2.30, 95% CI 1.58–3.32, p <0.001). This remained significant after multivariable adjustment (HR 2.11, 95% CI 1.41–3.16, p < 0.001). Median OS was 14.2 months in the early group vs 3.8 months in the late group (log-rank p < 0.001). Using previously defined cutoffs, categorization by the median IT of all infusions or the median of the first four infusions did not demonstrate a significant association with OS in either univariate or multivariate Cox regression analyses. Conclusions: These findings highlight the potential role of infusion timing as a chronotherapy factor in GI cancers. Given the retrospective design and heterogeneous population, prospective studies are warranted to validate this signal and clarify its clinical relevance. Baseline demographics of patients by infusion timing (early vs late). Variables Early N=412 (%) LateN=43(%) Total N=455(%) p-value Age <70 249(60.4) 21(48.8) 270 (59.3) 0.1 >70 163(39.6) 22(51.2) 185 (40.7) Gender F 118(28.6) 16(37.2) 134 (29.5) 0.3 M 294(71.4) 27(62.8) 321 (70.5) Cancer Type Gastroesophageal 109 (26.5) 8 (18.6) 117 (25.7) 0.1 Hepatocellular 159 (38.6) 24 (55.8) 183 (40.2) Biliary 86 (20.9) 4 (9.3) 90 (19.8) MSI-H 58 (14.1) 7 (16.3) 65 (14.3) Metastasis No 150 (36.4) 22 (51.2) 172 (37.8) 0.1 Yes 262 (63.6) 21 (48.8) 283 (62.2) Immunotherapy Cycle Number <6 189 (45.9) 33 (76.7) 222 (48.8) <0.001 >6 223 (54.1) 10 (23.3) 233 (51.2)

Article Details

Volume / Issue Vol. 44, Issue 2_suppl
Published January 10, 2026
Pages 837-837
ISSN 0732-183X
Publisher Lippincott Williams & Wilkins

Journal Info

Journal of Clinical Oncology

Lippincott Williams & Wilkins

ISSN: 0732-183X Health Sciences

Authors (20)

F

Fares Jamal

Mayo Clinic Arizona, Scottsdale, Arizona, United States

A

Amal Youssef

Mayo Clinic Arizona, Scottsdale, Arizona, United States

A

Abdullah Alsulaiman

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

A

Angelo Pirozzi

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

O

Oluseyi Abidoye

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

D

Daniel H. Ahn

Division of Hematology and Oncology, Mayo Clinic Arizona, Phoenix, AZ

H

Harry H. Yoon

Department of Oncology, Mayo Clinic Rochester, Rochester, MN

J

Jason S. Starr

Division of Hematology and Oncology, Mayo Clinic Florida, Jacksonville, FL

R

Robert R. McWilliams

M

Mojun Zhu

Mayo Clinic Arizona, Phoenix, AZ

K

Katrina Sophia Pedersen

Mayo Clinic Comprehensive Cancer Center, Rochester, MN

H

Hao Xie

Beijing National Laboratory for Condensed Matter Physics, Institute of Physics, Chinese Academy of Sciences

C

Conor O'Donnell

School of Physics, University College Dublin 1 , Dublin 4, Dublin D04 P7W1,

Z

Zhaohu Jin

Division of Medical Oncology, Mayo Clinic Rochester, Rochester, MN

T

Thorvardur Ragnar Halfdanarson

Department of Oncology, Mayo Clinic Rochester, Rochester, MN

N

Nguyen H. Tran

Mayo Clinic Florida, Jacksonville, FL

L

Lionel Aurelien Kankeu Fonkoua

Mayo Clinic, Rochester, MN

M

Mitesh Borad

T

Tanios S. Bekaii-Saab

M

Mohamad Bassam Sonbol