Abstract 141P
Background
DNA repair genes can be used as prognostic biomarkers in many types of cancer. We aimed to identify prognostic DNA repair genes in patients with gastric cancer (GC) by systematically bioinformatic approaches using web-based database.
Methods
Global gene expression profiles from altogether 1,325 GC patients’ samples from six independent datasets were included in the study. Clustering analysis was performed to screen potentially abnormal DNA repair genes related to the prognosis of GC, followed by unsupervised clustering analysis to identify molecular subtypes of GC. Characteristics and prognosis differences were analyzed among these molecular subtypes, and modular key genes in molecular subtypes were identified based on changes in expression correlation. Multivariate Cox proportional hazard analysis was used to find the independent prognostic gene. Kaplan-Meier method and log-rank test was used to estimate correlations of key DNA repair genes with GC patients’overall survival.
Results
There were 57 key genes significantly associated to GC patients’ prognosis, and patients were stratified into three molecular clusters based on their expression profiles, in which patients in Cluster 3 showed the best survival (P < 0.05). After a three-phase training, test and validation process, the expression profile of 13 independent key DNA repair genes were identified can classify the prognostic risk of patients. Compared with patients with low-risk score, patients with high risk score in the training set had shorter overall survival (P < 0.0001). Furthermore, we verified equivalent findings by these key DNA repair genes in the test set (P < 0.0001) and the independent validation set (P = 0.0024).
Conclusions
Our results suggest a great potential for the use of DNA repair gene profiling as a powerful marker in prognostication and inform treatment decisions for GC patients.
Clinical trial identification
Editorial acknowledgement
Legal entity responsible for the study
The authors.
Funding
This study was supported by the National Natural Science Foundation of China (81602081, 81602078).
Disclosure
All authors have declared no conflicts of interest.
Resources from the same session
448P - Incidence and severity of chemotherapy induced peripheral neuropathy in geriatric population who are receiving chemotherapy
Presenter: Alekhya Mandepudi
Session: Poster display session
Resources:
Abstract
449P - Utility of screening tool for assessment of chemotherapy induced peripheral neuropathy in cancer patients
Presenter: PRUTHVI Paibhavi
Session: Poster display session
Resources:
Abstract
450P - Supportive care to control nausea and dizziness in malignant tumours: A systematic review
Presenter: Rainer Spiegel
Session: Poster display session
Resources:
Abstract
451P - The safety of ramucirumab without H1-antihistamines as a premedication in patients with solid cancers: A retrospective study
Presenter: Nobuhiro Hattori
Session: Poster display session
Resources:
Abstract
452P - Expression of erythropoietin receptor in patient with anemia related chemotherapy and its correlation with absolute reticulocyte count
Presenter: Irza Wahid
Session: Poster display session
Resources:
Abstract
453P - Body mass index did not correlate with short term overall survival in breast cancers
Presenter: Jungsun Lee
Session: Poster display session
Resources:
Abstract
454P - Predictors of severity and comparison of CTCAE V3.0 vs V4.3 in assessing chemotherapy induced extravasation injuries
Presenter: Sangana Reddy
Session: Poster display session
Resources:
Abstract
455P - Assessment of nutritional status and quality of life among cancer patients undergoing chemotherapy
Presenter: Sri Prathima
Session: Poster display session
Resources:
Abstract
456P - Use of gamma irradiated bone allografts in treatment of various bone tumours
Presenter: Anchal Mishra
Session: Poster display session
Resources:
Abstract
457P - The prevalence of vitamin D deficiency in Thai cancer patients, its dynamics and association with cancer survival
Presenter: Chavapon Ngokngarm
Session: Poster display session
Resources:
Abstract