A Computational Framework Using Genomic and Transcriptomic Features for Predicting Resistance to PD-1/PDL-1 Checkpoint Inhibition in Gastrointestinal Tract (GIT) Cancer

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Grant Data
Project Title
A Computational Framework Using Genomic and Transcriptomic Features for Predicting Resistance to PD-1/PDL-1 Checkpoint Inhibition in Gastrointestinal Tract (GIT) Cancer
Principal Investigator
Professor Dai, Wei   (Principal Investigator (PI))
Co-Investigator(s)
Dr Lam Ka On   (Co-Investigator)
Dr Zheng Hong   (Co-Investigator)
Professor Chiang Chi Leung   (Co-Investigator)
Duration
24
Start Date
2020-07-01
Completion Date
2024-03-26
Amount
843912
Conference Title
A Computational Framework Using Genomic and Transcriptomic Features for Predicting Resistance to PD-1/PDL-1 Checkpoint Inhibition in Gastrointestinal Tract (GIT) Cancer
Keywords
bioinformatics, cancer genomics, cancer immunotherapy, gastrointestinal tract, PD-1/PDL-1 inhibition, whole-exome sequencing
Discipline
Others - Medicine, Dentistry and Health
HKU Project Code
07182016
Grant Type
Health and Medical Research Fund - Full Grant
Funding Year
2019
Status
Completed
Objectives
Gastrointestinal tract (GIT) cancer is the leading cause for cancer mortality in Hong Kong. PD-1/PDL-1 inhibition has shown promising results in the treatment of advanced GIT cancer patients with tumor metastasis. However, identification of the patients who are highly responsive to the treatment is challenging. Our aim is to fully utilize the next-generation sequencing (NGS) data by developing an all-in-one web-based platform connected to a computational framework to characterize multiple key genomic features and gene expression signatures relevant to the response to PD-1/PDL-1 inhibitors in GIT cancer.