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Multi‐omics analyses reveal spatial heterogeneity in primary and metastatic oesophageal squamous cell carcinoma

Authors :
Haitao Huang
Na Li
Yingkuan Liang
Rutao Li
Xing Tong
Jinyuan Xiao
Hongzhen Tang
Dong Jiang
Kai Xie
Chen Fang
Shaomu Chen
Guangbin Li
Bin Wang
Jiaqian Wang
Haitao Luo
Lingchuan Guo
Haitao Ma
Wei Jiang
Yu Feng
Source :
Clinical and Translational Medicine, Vol 13, Iss 11, Pp n/a-n/a (2023)
Publication Year :
2023
Publisher :
Wiley, 2023.

Abstract

Abstract Background Biopsies obtained from primary oesophageal squamous cell carcinoma (ESCC) guide diagnosis and treatment. However, spatial intra‐tumoral heterogeneity (ITH) influences biopsy‐derived information and patient responsiveness to therapy. Here, we aimed to elucidate the spatial ITH of ESCC and matched lymph node metastasis (LNmet). Methods Primary tumour superficial (PTsup), deep (PTdeep) and LNmet subregions of patients with locally advanced resectable ESCC were evaluated using whole‐exome sequencing (WES), whole‐transcriptome sequencing and spatially resolved digital spatial profiling (DSP). To validate the findings, immunohistochemistry was conducted and a single‐cell transcriptomic dataset was analysed. Results WES revealed 15.72%, 5.02% and 32.00% unique mutations in PTsup, PTdeep and LNmet, respectively. Copy number alterations and phylogenetic trees showed spatial ITH among subregions both within and among patients. Driver mutations had a mixed intra‐tumoral clonal status among subregions. Transcriptome data showed distinct differentially expressed genes among subregions. LNmet exhibited elevated expression of immunomodulatory genes and enriched immune cells, particularly when compared with PTsup (all P

Details

Language :
English
ISSN :
20011326
Volume :
13
Issue :
11
Database :
Directory of Open Access Journals
Journal :
Clinical and Translational Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.1453d8813e374a2f9260060233cc5e30
Document Type :
article
Full Text :
https://doi.org/10.1002/ctm2.1493