Abstract 1310
Background
Although immunotherapy with immune checkpoint inhibitors (ICIs) has been remarkably effective across multiple cancer types. Several reports showed the gut microbiome is a possible factor proposed to impact the efficacy of ICI. The relationship between gut microbiome and immune status in tumor microenvironment remains unclear. Short-chain fatty acids (SCFAs) are major end products of gut microbiota metabolites and are known to wide-ranging impacts on host physiology. The objective of this study was to evaluate the fecal SCFA (fSCFA) in solid cancer patients treated with anti-programmed death-1 inhibitor (PD1i).
Methods
This was a prospective study of patients with cancer who were treated with nivolumab (2 mg/kg, every 3 weeks; 3 mg/kg, every 2 weeks; or 240 mg/body, every 2 weeks) or pembrolizumab (200 mg/body, every 3 weeks) at Kyoto University Hospital between July 2016 and April 2018. Patients were classified into two groups: responder (R) with an objective response and non-responder (NR) according to the Response Evaluation Criteria in Solid Tumors version 1.1. Fecal samples were collected before administration of PD-1 inhibitor and were analyzed by the ultra-high performance liquid chromatography-tandem mass spectrometry system.
Results
A total of 40 patients (melanoma 19; head and neck cancer 7; gastrointestinal cancer 7; genitourinary cancer 4; other 3) were enrolled. The response rate was 22.5%. The fSCFAs in R patients (n = 9) were significantly higher than that in NR patients (n = 31) (p < 0.001). Progression-free survival (PFS) was significantly longer in patients with high fSCFAs than patients with lower fSCFAs (median 5.5 vs. 1.4 months, hazard ratio [HR] 0.35, 95% confidence interval [CI] 0.17-0.72). In melanoma patients, PFS was also significantly longer in patients with high fSCFAs than that with lower fSCFAs (median 6.1 vs. 1.4 months, HR 0.30, 95% CI 0.10-0.89).
Conclusions
The fSCFA could predict the efficacy of PD1i.
Clinical trial identification
UMIN000023303.
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
Novartis Pharma.
Disclosure
M. Nomura: Research grant / Funding (self): Novartis Pharma. All other authors have declared no conflicts of interest.
Resources from the same session
5678 - Nanomaterials Augmented LDI-TOF-MS for Hepatocellular Carcinoma Diagnosis and Classification
Presenter: Jian Zhou
Session: Poster Display session 3
Resources:
Abstract
2436 - Development and Validation of an RNA-Seq Assay for Gene Fusions Detection in Formalin-Fixed Paraffin-Embedded Samples
Presenter: Hua Dong
Session: Poster Display session 3
Resources:
Abstract
5271 - A Pilot Study to Implement an Artificial Intelligence (AI) System for Gastrointestinal Cancer Clinical Trial Matching
Presenter: Zhaohui Jin
Session: Poster Display session 3
Resources:
Abstract
4787 - A Blinded Comparison of Patient Treatments to Therapeutic Options Presented by an Artificial Intelligence-based Clinical Decision-support system
Presenter: Suthida Suwanvecho
Session: Poster Display session 3
Resources:
Abstract
5744 - OncOS: scalable and accurate next-generation sequencing analytics for precision oncology and personalized patient care
Presenter: Joe Thompson
Session: Poster Display session 3
Resources:
Abstract
3752 - The association between wearable device physical activity metrics and performance status in oncology: a systematic review
Presenter: Milan Kos
Session: Poster Display session 3
Resources:
Abstract
5820 - SomaticNET: neural network evaluation of somatic mutations in cancer
Presenter: Geoffroy Dubourg-Felonneau
Session: Poster Display session 3
Resources:
Abstract
4771 - Is there a role for Next-generation sequencing (NGS) profiling on metastatic non-colorectal gastrointestinal carcinomas (MNCGIC) in developing countries? A single center experience.
Presenter: Mauricio Ribeiro
Session: Poster Display session 3
Resources:
Abstract
1209 - Metastatic Cancer Whole-Exome Sequencing in daily practice
Presenter: Manon Réda
Session: Poster Display session 3
Resources:
Abstract
5702 - Genomic-Guided Individualized Precision Therapy in Refractory Metastatic Solid Tumor Patients with Extensively Poor Performance Status: A Chinese single institutional prospective observational real-world study
Presenter: Haitao Wang
Session: Poster Display session 3
Resources:
Abstract