Abstract 2127
Background
Nivolumab (Nivo) demonstrated survival benefit in previously treated gastric cancer (GC) patients (pts), with a response rate (RR) of 11% and a disease control rate (DCR) of 40% (Kang YK, et al. Lancet 2017). There are few real-world data of Nivo and its predictive markers are needed in GC. It has been demonstrated that the efficacy of anti-PD-1-based immunotherapy was associated with composition of gut microbiome in various types of cancers.
Methods
This observational/translational study (UMIN000030850) has been enrolling pts with advanced GC treated with Nivo alone and ECOG PS 0-2, up to 500 pts from March 2018. The aims are to evaluate the efficacy and safety of Nivo in real world, and to discover novel immune-related biomarkers (gut microbiome, genetic polymorphism, gene expression, and metabolome in plasma) using fecal and blood samples which are collected before and after treatment. Candidate factors will be explored in first 200 pts and then validated in last 300 pts. Pre-planned interim analysis was performed to evaluate response and biomarkers in first 200 pts. We report the response evaluated by first imaging based on RECIST version 1.1.
Results
In 198 evaluable pts (median age 70-y, 75% male, ECOG PS0/1/2 47%/39%/14%, 20% HER2-pos, tub/por/sig 47%/38%/6%), DCR was 34.8%. In 124 pts with measurable lesions, RR was 5.6% (95%CI 2.3-11.3): 7 PR, 34 SD, and 78 PD, and DCR was 33.1% (95%CI 24.9-42.1). Tumor growth rate (TGR) was calculated as a percentage increase in tumor volume during 1 month [Champiat et al. Clin Cancer Res 2017] in 105 evaluable pts. The TGR decreased after introduction of Nivo in 58.4% pts; however, 26 (24.8%) pts were identified as experiencing hyperprogressive disease which was defined as a ≥ 2-fold increase of the TGR before and after Nivo. Sub-analysis by patient background indicated that DCR was 38% for PS0, 35% for PS1, and 22% for PS2. In addition, the DCR was lower in pts with factors of signet-ring cell, peritoneal metastasis, or ascites. There was no difference in the DCR according to HER2 status or neutrophil-lymphocyte ratio.
Conclusions
This interim analysis of the observational trial showed real-world data of Nivo treatment in terms of response for advanced GC for the first time.
Clinical trial identification
UMIN000030850.
Editorial acknowledgement
Legal entity responsible for the study
Japan Clinical Cancer Research Organization.
Funding
Ono pharmaceutical Co. Ltd. and Bristol-Myers Squibb.
Disclosure
Y. Sunakawa: Honoraria (self): Bristol-Myers Squibb; Honoraria (self), Research grant / Funding (institution): Taiho Pharmaceutical Co. Ltd.; Honoraria (self), Research grant / Funding (institution): Chugai Pharmaceutical Co. Ltd.; Honoraria (self), Research grant / Funding (institution): Yakult Honsha Co. Ltd.; Honoraria (self), Advisory / Consultancy, Research grant / Funding (institution): Takeda Pharmaceutical Co. Ltd.; Honoraria (self), Research grant / Funding (institution): Merck Serono; Honoraria (self): Bayer Yakuhin Ltd.; Honoraria (self), Research grant / Funding (institution): Sanofi K.K.; Honoraria (self), Research grant / Funding (institution): Eli Lilly Japan; Research grant / Funding (institution): Daiichi Sankyo Pharma; Research grant / Funding (institution): MSD K.K.; Research grant / Funding (institution): Dainippon Sumitomo Pharm Co. Ltd.; Research grant / Funding (institution): Solasia Pharma K.K. M. Takahashi: Speaker Bureau / Expert testimony: Taiho Pharmaceutical Co. Ltd.; Speaker Bureau / Expert testimony: Eli Lilly and Company; Travel / Accommodation / Expenses: Takeda Pharmaceutical Co. Ltd. A. Makiyama: Advisory / Consultancy, Speaker Bureau / Expert testimony: Eli Lily Pharmaceutical; Speaker Bureau / Expert testimony: Chugai Pharmaceutical Co. Ltd.; Speaker Bureau / Expert testimony: Takeda Pharmaceutical Co. Ltd.; Speaker Bureau / Expert testimony: Taiho Pharmaceutical Co. Ltd. H. Yasui: Honoraria (self): Yakult Honsha; Honoraria (self): Chugai Pharmaceutical Co. Ltd.; Honoraria (self): Taiho Pharmaceutical Co. Ltd.; Research grant / Funding (institution): Ono Pharmaceutical Co. Ltd.; Research grant / Funding (institution): MSD; Research grant / Funding (institution): Daiichi Sankyo company. H. Kawakami: Honoraria (self), Advisory / Consultancy: Bristol-Myers Squibb Co. Ltd.; Honoraria (self), Advisory / Consultancy: Eli Lilly Japan K.K.; Honoraria (self), Advisory / Consultancy: MSD K.K.; Honoraria (self), Advisory / Consultancy: Ono Pharmaceutical Co. Ltd.; Honoraria (self), Advisory / Consultancy: Taiho Pharmaceutical Co. Ltd.; Honoraria (self): AstraZeneca K.K.; Honoraria (self): Bayer yakuhin Ltd.; Honoraria (self): Chugai Pharmaceutical Co. Ltd.; Honoraria (self), Research grant / Funding (self): Daiichi Sankyo Co. Ltd.; Honoraria (self): Takeda Pharmaceutical Co. Ltd.; Research grant / Funding (self): Eisai Co. Ltd.; Research grant / Funding (self): Dainippon Sumitomo Pharmaceutical Co. Ltd. T.E. Nakajima: Honoraria (self): Nippon Kayaku Pharmaceutical Co. Ltd.; Honoraria (self): Teijin Pharmaceutical Co. Ltd.; Honoraria (self), Research grant / Funding (institution): MSD K.K; Honoraria (self): Celltrion Healthcare; Honoraria (self), Research grant / Funding (self), Research grant / Funding (institution): Eli Lilly Japan; Honoraria (self): Bristol-Myers Squibb Co. Ltd.; Honoraria (self): Ono Pharmaceutical Co. Ltd.; Honoraria (self), Research grant / Funding (self), Research grant / Funding (institution): Merck Serono; Honoraria (self), Research grant / Funding (self), Research grant / Funding (institution): Taiho Pharmaceutical Co. Ltd.; Honoraria (self): Bayer yakuhin Ltd.; Honoraria (self), Research grant / Funding (self), Research grant / Funding (institution): Takeda Pharmaceutical Co. Ltd.; Honoraria (self), Research grant / Funding (self), Research grant / Funding (institution): Chugai Pharmaceutical Co. Ltd.; Honoraria (self), Research grant / Funding (self), Research grant / Funding (institution): Sanofi K.K.; Honoraria (self): Sawai Pharmaceutical Co. Ltd.; Research grant / Funding (self), Research grant / Funding (institution): Daiichi Sankyo Pharmaceutical Co. Ltd.; Research grant / Funding (institution): Dainippon Sumitomo Pharm Co. Ltd.; Research grant / Funding (institution): Solasia Pharma K.K. K. Muro: Honoraria (self): Ono Pharmaceutical Co. Ltd.; Honoraria (self): Eli Lilly Japan K.K.; Honoraria (self): Bristol-Myers Squibb Co. Ltd.; Honoraria (self): Taiho Pharmaceutical Co. Ltd.; Honoraria (self): Chugai Pharmaceutical Co. Ltd.; Honoraria (self): Takeda Pharmaceutical Co. Ltd.; Honoraria (self): Bayer yakuhin Ltd.; Honoraria (self), Research grant / Funding (self): Sanofi K.K.; Research grant / Funding (self): MSD K.K.; Research grant / Funding (self): Daiichi Sankyo Pharmaceutical Co. Ltd.; Research grant / Funding (self): Shionogi & Co. Ltd.; Research grant / Funding (self): Kyowa Hakko Kirin Pharmaceutical Co. Ltd.; Research grant / Funding (self): Gilead Sciences; Research grant / Funding (self): Pfizer; Research grant / Funding (self): Merck Serono. R. Matoba: Shareholder / Stockholder / Stock options, Officer / Board of Directors: DNA Chip Research Inc. W. Ichikawa: Honoraria (institution), Speaker Bureau / Expert testimony: Taiho Pharmaceutical Co. Ltd.; Honoraria (institution): Takeda Pharmaceutical Co. Ltd; Honoraria (institution): Shionogi Pharmaceutical Co. Ltd.; Honoraria (institution): Ono Pharmaceutical Co. Ltd.; Honoraria (institution), Speaker Bureau / Expert testimony: Merck Serono; Honoraria (institution), Speaker Bureau / Expert testimony: Chugai Pharmaceutical Co. Ltd. M. Fujii: Travel / Accommodation / Expenses: Taiho Pharmaceutical Co. Ltd.; Travel / Accommodation / Expenses: Japan Clinical Cancer Research Organization. All other authors have declared no conflicts of interest.
Resources from the same session
4732 - Progesterone Receptor Isoform Ratio Dictates Antiprogestins/Progestins Effects on Metastatic Breast Cancer Models
Presenter: Maria Abascal
Session: Poster Display session 2
Resources:
Abstract
5737 - PAM50 and CGH-array genomic characterization of HER2-Equivocal Breast Cancers defined by the 2018 ASCO/CAP recommendations.
Presenter: Carine Ngo
Session: Poster Display session 2
Resources:
Abstract
1096 - OncotypeDX® predictive nomogram for recurrence score output: a machine learning system based on quantitative immunochemistry analysis - ADAPTED01
Presenter: Fabio Marazzi
Session: Poster Display session 2
Resources:
Abstract
5426 - Geriatric parameters predict both disease-related and patient-reported outcomes in older patients with breast cancer
Presenter: Willeke van der Plas-Krijgsman
Session: Poster Display session 2
Resources:
Abstract
5865 - Patients with a 21-gene assay in South East London differ from the TAILORx trial population
Presenter: Charalampos Gousis
Session: Poster Display session 2
Resources:
Abstract
1312 - Predictive tools in adjuvant breast cancer – what is the standard of evidence supporting their utility? A literature review examining validation of Adjuvant!, Cancermath and NHS Predict
Presenter: Alice Loft
Session: Poster Display session 2
Resources:
Abstract
2445 - Oncologic outcome of invasive lobular carcinoma: Is it different from that of invasive ductal carcinoma?
Presenter: Hee Jun Choi
Session: Poster Display session 2
Resources:
Abstract
2476 - Pathologic response and survival efficacy in patients with initial nodal involvement after neoadjuvant chemotherapy in early breast cancer
Presenter: SERAFIN MORALES Murillo
Session: Poster Display session 2
Resources:
Abstract
3761 - Chemotherapy-induced amenorrhea: prognostic impact on premenopausal Egyptian patients with breast cancer
Presenter: Khaled Abdel Karim
Session: Poster Display session 2
Resources:
Abstract
4687 - Predicting the presence of breast cancer using circulating small RNA in the serum
Presenter: Yumiko Koi
Session: Poster Display session 2
Resources:
Abstract