Topological biomarker in lung adenocarcinoma
Principal Investigator
Name
Senyi Deng
Institution
West China Hospital
Position Title
assistant researcher
Email
About this CDAS Project
Study
NLST
(Learn more about this study)
Project ID
NLST-1209
Initial CDAS Request Approval
Mar 25, 2024
Title
Topological biomarker in lung adenocarcinoma
Summary
In this project, we will try to build a new topological biomarker from H&E stained images of lung cancer. We will build a new algorithm to identify the tumor microenvironment topology and use a non-supervised clustering method to cluster those topologies. By collecting all survival data from different sources, we will build a machine learning model to predicting the patient's survival from tumor microenvironment topology.
Aims
1. The poor prognosis of lung cancer requires the construction of new markers.
2. Unraveling the topology of lung adenocarcinoma tumor microenvironments requires new deep learning algorithms.
3. Constructing an effective prognostic model of lung adenocarcinoma for personalized diagnosis and treatment of lung cancer
Collaborators
Lunxu Liu, west china hospital
Yiming Zhang, west china hospital
Nan Chen, west china hospital