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Single-cell transcriptomes underscore genetically distinct tumor characteristics and microenvironment for hereditary kidney cancers

Authors :
Ryosuke Jikuya
Koichi Murakami
Akira Nishiyama
Ikuma Kato
Mitsuko Furuya
Jun Nakabayashi
Jordan A. Ramilowski
Haruka Hamanoue
Kazuhiro Maejima
Masashi Fujita
Taku Mitome
Shinji Ohtake
Go Noguchi
Sachi Kawaura
Hisakazu Odaka
Takashi Kawahara
Mitsuru Komeya
Risa Shinoki
Daiki Ueno
Hiroki Ito
Yusuke Ito
Kentaro Muraoka
Narihiko Hayashi
Keiichi Kondo
Noboru Nakaigawa
Koji Hatano
Masaya Baba
Toshio Suda
Tatsuhiko Kodama
Satoshi Fujii
Kazuhide Makiyama
Masahiro Yao
Brian M. Shuch
Laura S. Schmidt
W. Marston Linehan
Hidewaki Nakagawa
Tomohiko Tamura
Hisashi Hasumi
Source :
iScience, Vol 25, Iss 6, Pp 104463- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Summary: Our understanding of how each hereditary kidney cancer adapts to its tissue microenvironment is incomplete. Here, we present single-cell transcriptomes of 108,342 cells from patient specimens including from six hereditary kidney cancers. The transcriptomes displayed distinct characteristics of the cell of origin and unique tissue microenvironment for each hereditary kidney cancer. Of note, hereditary leiomyomatosis and renal cell carcinoma (HLRCC)-associated kidney cancer retained some characteristics of proximal tubules, which were completely lost in lymph node metastases and present as an avascular tumor with suppressed T cells and TREM2-high macrophages, leading to immune tolerance. Birt-Hogg-Dubé (BHD)-associated kidney cancer exhibited transcriptomic intratumor heterogeneity (tITH) with increased characteristics of intercalated cells of the collecting duct and upregulation of FOXI1-driven genes, a critical transcription factor for collecting duct differentiation. These findings facilitate our understanding of how hereditary kidney cancers adapt to their tissue microenvironment.

Details

Language :
English
ISSN :
25890042
Volume :
25
Issue :
6
Database :
Directory of Open Access Journals
Journal :
iScience
Publication Type :
Academic Journal
Accession number :
edsdoj.b3b92f19eaba434889b74457863fa6ce
Document Type :
article
Full Text :
https://doi.org/10.1016/j.isci.2022.104463