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Development and Clinical Validation of a 90-Gene Expression Assay for Identifying Tumor Tissue Origin

Authors :
Ye, Qing
Wang, Qifeng
Qi, Peng
Chen, Jinying
Sun, Yifeng
Jin, Shichai
Ren, Wanli
Chen, Chengshu
Liu, Mei
Xu, Midie
Ji, Gang
Yang, Jun
Nie, Ling
Xu, Qinghua
Huang, Deshuang
Du, Xiang
Zhou, Xiaoyan
Source :
The Journal of Molecular Diagnostics; September 2020, Vol. 22 Issue: 9 p1139-1150, 12p
Publication Year :
2020

Abstract

The accurate identification of tissue origin in patients with metastatic cancer is critical for effective treatment selection but remains a challenge. The aim of this study is to develop a gene expression assay for tumor molecular classification and integrate it with clinicopathologic evaluations to identify the tissue origin for cancer of uncertain primary (CUP). A 90-gene expression signature, covering 21 tumor types, was identified and validated with an overall accuracy of 89.8% (95% CI, 0.87–0.92) in 609 tumor samples. More specifically, the classification accuracy reached 90.4% (95% CI, 0.87–0.93) for 323 primary tumors and 89.2% (95% CI, 0.85–0.92) for 286 metastatic tumors, with no statistically significant difference (P = 0.71). Furthermore, in a real-life cohort of 141 CUP patients, predictions by the 90-gene expression signature were consistent or compatible with the clinicopathologic features in 71.6% of patients (101/141). Findings suggest that this novel gene expression assay could efficiently predict the primary origin for a broad spectrum of tumor types and support its diagnostic utility of molecular classification in difficult-to-diagnose metastatic cancer. Additional studies are ongoing to further evaluate the clinical utility of this novel gene expression assay in predicting primary site and directing therapy for CUP patients.

Details

Language :
English
ISSN :
15251578
Volume :
22
Issue :
9
Database :
Supplemental Index
Journal :
The Journal of Molecular Diagnostics
Publication Type :
Periodical
Accession number :
ejs53639457
Full Text :
https://doi.org/10.1016/j.jmoldx.2020.06.005