Abstract 149P
Background
Gastric cancer (GC) is one of the most common malignancies and a leading cause of cancer deaths worldwide. Currently, the genomic researches mainly focused on metastatic GC, but the clinico-molecular characteristics of resectable GC were poorly investigated.
Methods
A total of 47 resectable GC patients were enrolled. All kinds of genomic mutations were identified by next-generation sequencing (NGS) with Acornmed panel. Programmed death-ligand 1 (PD-L1) expression was analyzed by immunohistochemistry staining.
Results
Overall, a total of 582 mutations were identified from all the patients. TP53, LRP1B, ARID1A, and MDC1 were the most commonly mutated genes in resectable GC. Genomic data revealed significant mutual exclusivity between alterations in TP53 and PIK3CA (p < 0.05) and between those in TP53 and DICER1 (p < 0.05), as well as mutual co-occurence between alterations in FAT1 and ERBB3 (p < 0.05) and between those in FAT1 and NOTCH2 (p < 0.05). Additionally, ARID1A and APC alterations were significantly associated with poor differentiation (p < 0.05), and frequency of ARID1A mutations was markedly higher in intestinal-type GC than diffuse GC (p < 0.05). PD-L1 expression was analyzed in 45 tumors, and 33.3% of them showed positive PD-L1 expression. Further analysis demonstrated that KMT2D and ARID1A alterations were strikingly correlated with positive PD-L1 expression (p < 0.05). The median tumor mutational burden (TMB) in resectable GC was 6.38 mutations/Mb, and AR, CDH1, NOTCH2, and FAT1 mutations were remarkably associated with high TMB (p < 0.05). We further found that patients with positive PD-L1 expression tended to have low TMB (p = 0.057).
Conclusions
This study is of great significance in understanding the population characteristics of patients with resectable GC, which will be useful to guide personalized therapy and promote the clinical management in this population.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
Zhi Zheng.
Funding
Beijing Municipal Science & Technology Commission.
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
339P - Diclofenac versus tramadol for mucositis related pain in head and neck cancer patients undergoing concurrent chemoradiation: A phase III study
Presenter: Vikas Talreja
Session: e-Poster Display Session
340P - Omega-3 fatty acids for cancer cachexia in advanced non-small cell lung cancer: A meta-analysis
Presenter: Alfredo Chua
Session: e-Poster Display Session
341P - Relationship between muscle mass and quality of life in breast cancer patients who underwent chemotherapy
Presenter: Andree Kurniawan
Session: e-Poster Display Session
342P - Comparison of 0.25 mg versus 0.75 mg of palonosetron in combination with aprepitant and dexamethasone for prevention of chemotherapy-induced nausea and vomiting following cisplatin-containing chemotherapy in patients with esophageal cancer
Presenter: Satoshi Horasawa
Session: e-Poster Display Session
343P - Head-to-head comparison of palonosetron versus granisetron for prevention of chemotherapy induced nausea and vomiting: Systematic review and meta-analysis
Presenter: Chin-Hung Hsu
Session: e-Poster Display Session
344P - Single-centre analysis of anti-resorptive agent-related osteonecrosis of the jaw in lung cancer patients
Presenter: Kohei Fujita
Session: e-Poster Display Session
345P - Thromboembolic events in brain tumour patients on bevacizumab
Presenter: Gunjesh Singh
Session: e-Poster Display Session
346P - Occurence and risk factors of chemotherapy-induced neutropenia in patients with breast cancer: A hospital-based assessment in Indonesia
Presenter: Susanna Hutajulu
Session: e-Poster Display Session
347P - Histamine blockade with loratadine for prevention of granulocyte-colony stimulating factor (G-CSF)-associated bone pain: A meta-analysis
Presenter: Mel Valerie Ordinario
Session: e-Poster Display Session
348P - Anti-VEGF inhibitors and renal safety in onco-nephrology consortium: Urinary protein/creatinine ratio (VERSiON UP study)
Presenter: Michio Nakamura
Session: e-Poster Display Session