| Accession |
PRJCA004843 |
| Title |
Application of a classifier combining bronchial transcriptomics and chest CT features facilitates the diagnostic evaluation of lung cancer in smokers and non-smokers |
| Relevance |
Medical |
| Data types |
Transcriptome or Gene expression
Raw sequence reads
|
| Organisms |
Homo sapiens
|
| Description |
We devised a minimal to noninvasive, efficient diagnostic classifier combining chest CT features with gene expression information derived from bronchial brushing in both smokers and non-smokers, which provides supporting evidence for the different mechanisms of cancer development and metastasis associated with smoking. A negative classifier result will help the physician make conservative diagnostic decisions. |
| Sample scope |
Multiisolate |
| Release date |
2021-03-31 |
| Grants |
| Agency |
program |
Grant ID |
Grant title |
| National Natural Science Foundation of China (NSFC)
|
General Program
|
81870022
|
|
| Zhejiang Provincial Natural Science Foundation
|
|
LY20H010004
|
|
|
|
| Accessions in other database |
| Accession |
Database name |
| GSE166926
|
NCBI
|
|
|
| Submitter |
Yang
Xia (yxia@zju.edu.cn)
|
| Organization |
Second Affiliated Hospital of Zhejiang University School of Medicine |
| Submission date |
2021-03-31 |
