Abstract 1404P
Background
Combination of anti-PD1 inhibitor with chemoradiotherapy (CRT) has been shown to improve the survival of patients with locally advanced esophageal squamous cell carcinoma (ESCC). This study specifically aims to identify circulating cytokines as biomarkers for predicting treatment response, survival, and immune-related toxicities.
Methods
Patients with locally advanced ESCC from two phase II clinical trials (EC-CRT-001 and NEOCRTEC1901) were pooled for analysis. All patients received CRT in combination with toripalimab, an anti-PD1 inhibitor. We longitudinally profiled 19 cytokines in the plasma before (pre), during, and after (post) CRT. The associations between cytokine levels and treatment response or immune-related toxicity were examined using the Wilcoxon test. Their correlations with overall survival (OS) and progression-free survival (PFS) were assessed through univariate and multivariate Cox analyses.
Results
A total of 81 patients were included, and 243 plasma samples were analyzed. Multivariate analyses indicated that pre-treatment levels of IL-8 and post-treatment levels of Granzyme B were independent prognostic markers for OS (p<0.05). Post-CRT levels of IL-10 were identified as independent prognostic markers for PFS (p<0.05). Subgroup analyses revealed correlations between pre- and during-CRT levels of IL-8, and post-CRT levels of IL-13 and IL-10 with a complete clinical response in the EC-CRT-001 group. Additionally, pre-CRT IL-8 and post-CRT CCL5 levels were associated with immune-related toxicities.
Conclusions
Circulating cytokines, particularly IL-8, serve as significant biomarkers for predicting response, survival, and immune-related toxicities in locally advanced ESCC patients undergoing combined chemoradiotherapy and toripalimab treatment.
Clinical trial identification
NCT04005170; NCT04006041.
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
1427P - Predicting overall survival and prognostic indicator genes in esophagogastric cancer patients using machine learning and bioinformatics analysis
Presenter: Nguyen-Kieu Viet-Nhi
Session: Poster session 17
1428P - Total neoadjuvant FLOT chemotherapy in oesophagogastric adenocarcinoma: An international cohort study
Presenter: Hollie Clements
Session: Poster session 17
1429P - Differences in esophageal cancer incidence and survival by race/ethnicity: A SEER analysis
Presenter: Ashwin Kulshrestha
Session: Poster session 17
1430P - Impact of menadione supplementation in the treatment of patients with metastatic gastric cancer: A randomized phase II clinical trial
Presenter: Francisco Cezar Moraes
Session: Poster session 17
1431P - Assessing pathological complete response to neoadjuvant chemotherapy combined with immunotherapy in esophageal squamous cell carcinoma: A deep learning approach with voxel-level radiomics
Presenter: Yongling Ji
Session: Poster session 17
1432P - Safety of laparoscopic D2 distal gastrectomy following neoadjuvant chemotherapy for locally advanced gastric cancer patients: A prospective multicenter trial (CLASS-03a)
Presenter: Kun Yang
Session: Poster session 17