Abstract 153P
Background
Gastric cancer (GC) is an aggressive cancer and it is thought that they have a worse prognosis in AYA due to delayed diagnosis and a more aggressive tumour biology. There is an increasing trend to adopt next-generation sequence (NGS) to identify tumour genomic alterations for precision medicine in AYA. We aim to study the differences in the mutational landscape of GC in AYA and how it correlates to outcomes in a single-centre high-volume Asian institution.
Methods
Patients diagnosed between 16-39 years old with GC between 2015 to 2019 in our centre, National Cancer Centre Singapore, were included in this study.
Results
A total of 50 AYA GC patients were referred to NCCS between 1st January 2015 and 31st December 2019. 7 patients were excluded from this analysis (3 due to incomplete data and 4 were neuroendocrine tumours). The median age (n=43) was 35(22-39) with 22 males (51.2%) and majority (53.5%, n=23) having signet ring cell carcinoma. 28 patients (65.1%) had metastatic disease at diagnosis. Out of the 43 patients, only 60.5%(n=26) and 58.1%(n=25) were tested for programmed death-ligand 1(PD-L1) and DNA mismatch repair (MMR) respectively. 1 patient (3.8%) had MLH 1 loss and 1 patient (4.5%) had PD-L1 percentage of more than 50% by using combined positive score (CPS). 32 patients (74.4%) had the human epidermal growth factor receptor 2(HER2) tested, of which 5 were HER2 positive (15.6%). With a median follow-up of 11 months, median OS was 16.0 months (range 0.5- 111.3 months). There was no significant differences between subgroups with regards to age(p=0.931), presence of signet-ring histology (p=0.135), histology grade (p=0.384) and HER2 positivity (p=0.66).
Conclusions
Gastric cancer in the young behaves differently and generally seem more aggressive in the young regardless of gender. Further studies to evaluate how the differences in the mutational landscape of gastric cancer in the adolescents and young adults impact prognosis and treatment paradigm.
Clinical trial identification
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
133P - Which patient subgroup needs more attention in early treatment failure? A matched cohort study of treatment failure patterns in locally advanced gastric cancer
Presenter: Dong Wu
Session: e-Poster Display Session
134P - Effect of preoperative tumour under-staging on the long-term survival of patients undergoing radical gastrectomy for gastric cancer
Presenter: Mi Lin
Session: e-Poster Display Session
135P - Significance of lymphatic invasion in the indication for additional gastrectomy after endoscopic treatment
Presenter: Hirohito Fujikawa
Session: e-Poster Display Session
136P - Modified ypTNM staging classification for gastric cancer after neoadjuvant therapy: A multi-institutional study
Presenter: Wen-Wu Qiu
Session: e-Poster Display Session
137P - Clinical utility of circulating tumour DNA (ctDNA) in resectable gastric cancer (GC)
Presenter: Mikhail Fedyanin
Session: e-Poster Display Session
138P - Prognostic importance of dynamic changes in systemic inflammatory markers for patients with gastric cancer
Presenter: Ying-Qi Huang
Session: e-Poster Display Session
139P - An intraoperative model for predicting survival and deciding therapeutic schedules: A comprehensive analysis of peritoneal metastasis in patients with advanced gastric cancer
Presenter: Zhi-Yu Liu
Session: e-Poster Display Session
140P - Preoperative and postoperative C-reactive protein levels predict recurrence and chemotherapy benefit in gastric cancer
Presenter: Li-Li Shen
Session: e-Poster Display Session
141P - Low expression of CDK5RAP3 and UFM1 indicates poor prognosis in patients with gastric cancer
Presenter: Ning-Zi Lian
Session: e-Poster Display Session
142P - Prognostic analysis of patients with intra-abdominal infectious complications after laparoscopy and open radical gastrectomy for gastric cancer: A propensity score-matching analysis
Presenter: Si-Jin Que
Session: e-Poster Display Session