Literature DB >> 32610162

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

Qing Ye1, Qifeng Wang2, Peng Qi3, Jinying Chen4, Yifeng Sun4, Shichai Jin4, Wanli Ren4, Chengshu Chen4, Mei Liu4, Midie Xu2, Gang Ji3, Jun Yang5, Ling Nie5, Qinghua Xu6, Deshuang Huang7, Xiang Du2, Xiaoyan Zhou8.   

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.
Copyright © 2020 Association for Molecular Pathology and American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 32610162     DOI: 10.1016/j.jmoldx.2020.06.005

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  4 in total

1.  Gene Expression Profiling for Differential Diagnosis of Liver Metastases: A Multicenter, Retrospective Cohort Study.

Authors:  Qifeng Wang; Fen Li; Qingming Jiang; Yifeng Sun; Qiong Liao; Huimin An; Yunzhu Li; Zhenyu Li; Lifang Fan; Fang Guo; Qinghua Xu; Yixin Wo; Wanli Ren; Junqiu Yue; Bin Meng; Weiping Liu; Xiaoyan Zhou
Journal:  Front Oncol       Date:  2021-09-22       Impact factor: 6.244

2.  Clinical validation of a 90-gene expression test for tumor tissue of origin diagnosis: a large-scale multicenter study of 1417 patients.

Authors:  Wei Sun; Wei Wu; Qifeng Wang; Qian Yao; Qin Feng; Yue Wang; Yu Sun; Yunying Liu; Qian Lai; Gu Zhang; Peng Qi; Yifeng Sun; Chenhui Qian; Wanli Ren; Zhengzhi Luo; Jinying Chen; Hongying Wang; Qinghua Xu; Xiaoyan Zhou; Wenyong Sun; Dongmei Lin
Journal:  J Transl Med       Date:  2022-03-07       Impact factor: 5.531

3.  Case Report: Molecular Profiling Assists in the Diagnosis and Treatment of Cancer of Unknown Primary.

Authors:  Bo Yu; Qifeng Wang; Xin Liu; Silong Hu; Liangping Zhou; Qinghua Xu; Yifeng Sun; Xichun Hu; Zhiguo Luo; Xiaowei Zhang
Journal:  Front Oncol       Date:  2022-03-30       Impact factor: 6.244

4.  Functional and embedding feature analysis for pan-cancer classification.

Authors:  Jian Lu; JiaRui Li; Jingxin Ren; Shijian Ding; Zhenbing Zeng; Tao Huang; Yu-Dong Cai
Journal:  Front Oncol       Date:  2022-09-29       Impact factor: 5.738

  4 in total

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