Accession PRJCA017689
Title Lineage Tracing for Multiple Lung Cancer by Spatiotemporal Heterogeneity Using a Multi-omics Algorithm Integrating Genomic, Transcriptomic, and Immune-related Features
Relevance Medical
Data types Exome
Transcriptome or Gene expression
Organisms Homo sapiens
Description Distinction between multiple primary lung cancer (MPLC) and intrapulmonary metastasis (IPM) holds clinical significance in staging, therapeutic intervention, and prognosis assessment for multiple lung cancer. However, lineage tracing by clinicopathologic features alone remains a clinical challenge, which could be overcome by tumor genomic profiling. We aimed to develop a multi-omics algorithm delineating spatiotemporal heterogeneity by genomic, transcriptomic and immune-related features, for lineage tracing.
Sample scope Multiisolate
Release date 2023-07-14
Agency program Grant ID Grant title
National key R&D plan 2020YFC2003700
National Natural Science Foundation of China (NSFC) 82130001
National Natural Science Foundation of China (NSFC) 82070045
Submitter Jie    Hu  (
Organization Zhongshan Hospital, Fudan University
Submission date 2023-06-14

Project Data

Resource name Description
BioSample (24)  show -