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Non-invasive plasma testing for CD274 UTR structural variations by next-generation sequencing in cancer

Authors :
Wenjuan Zhang
Jian Cao
Ke Liu
Ziwei Qu
Ying Zheng
Jun Yu
Yishan Yu
Yongsheng Wang
Wendy Wu
Source :
Cell Death Discovery, Vol 9, Iss 1, Pp 1-7 (2023)
Publication Year :
2023
Publisher :
Nature Publishing Group, 2023.

Abstract

Abstract Immunotherapy is now the main choice of systemic therapy for many cancer patients, while current biomarkers for tumor immunotherapy may be limited by the accessibility of patient tumor tissue or tumor neoplastic content. Rare mutation in the 5’ and 3’-untranslated region (UTR) of CD274 gene (Protein name: PD-L1) has been recently reported in hematologic and solid tumors as a potential biomarker for assessing efficacy during immunotherapy. However, multi-omics analysis for CD274 UTR region, especially circulating tumor DNA (ctDNA), have been little explored in the pan-cancer perspective. We developed a cSMART2.0 technology featured with higher capture efficiency and homogeneity to detect this rare structural variant in 2249 Chinese patients’ cohort with multiple cancers. An incidence of 0.36% was detected in this cohort, consistent with TCGA (The Cancer Genome Atlas), while the prevalence of SV in CD274 UTR region in liver and breast cancer were significantly higher than TCGA. The liquid biopsy result from ctDNA was 100% concordance with gDNA result getting from tumor tissue detection, and further validated by immunohistochemistry (IHC) and multiplex immunofluorescence (mIF) experiments. Patients carrying this SV in CD274 UTR region without driver gene mutation responded to immune checkpoint inhibitors (ICIs). This study proves that rare structural variants in CD274 UTR region exist in various cancer in Chinese population for the first time, which can induce immune escape and be used for prediction of response to ICIs. Liquid biopsy based cSMART 2.0 technology could offer more sensitive and accurate detection to navigate potential ICIs patients and to benefit patients with advanced disease when tissue samples are not available.

Details

Language :
English
ISSN :
20587716
Volume :
9
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Cell Death Discovery
Publication Type :
Academic Journal
Accession number :
edsdoj.0706311838e347d987a2329bea308938
Document Type :
article
Full Text :
https://doi.org/10.1038/s41420-023-01316-1