Comprehensive single-cell sequencing reveals the stromal dynamics and tumor-specific characteristics in the microenvironment of nasopharyngeal carcinoma

Lanqi Gong(University of Hong Kong - Shenzhen Hospital), Dora Lai‐Wan Kwong(University of Hong Kong - Shenzhen Hospital), Wei Dai(University of Hong Kong - Shenzhen Hospital), Pingan Wu(University of Hong Kong - Shenzhen Hospital), Shanshan Li(University of Hong Kong - Shenzhen Hospital), Qian Yan(University of Hong Kong - Shenzhen Hospital), Yu Zhang(University of Hong Kong), Baifeng Zhang(University of Hong Kong), Xiaona Fang(University of Hong Kong), Li Liu(University of Hong Kong), Min Luo(University of Hong Kong - Shenzhen Hospital), Beilei Liu(University of Hong Kong), Larry Ka-Yue Chow(University of Hong Kong), Qingyun Chen(Sun Yat-sen University), Jinlin Huang(University of Hong Kong), Victor Lee(University of Hong Kong - Shenzhen Hospital), Ka-On Lam(University of Hong Kong - Shenzhen Hospital), Anthony W.I. Lo(University of Hong Kong), Zhiwei Chen(University of Hong Kong), Yan Wang(University of Hong Kong - Shenzhen Hospital), Anne W.M. Lee(University of Hong Kong - Shenzhen Hospital), Xin‐Yuan Guan(Sun Yat-sen University)
Nature Communications
March 9, 2021
Cited by 211Open Access
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Abstract

The tumor microenvironment (TME) of nasopharyngeal carcinoma (NPC) harbors a heterogeneous and dynamic stromal population. A comprehensive understanding of this tumor-specific ecosystem is necessary to enhance cancer diagnosis, therapeutics, and prognosis. However, recent advances based on bulk RNA sequencing remain insufficient to construct an in-depth landscape of infiltrating stromal cells in NPC. Here we apply single-cell RNA sequencing to 66,627 cells from 14 patients, integrated with clonotype identification on T and B cells. We identify and characterize five major stromal clusters and 36 distinct subpopulations based on genetic profiling. By comparing with the infiltrating cells in the non-malignant microenvironment, we report highly representative features in the TME, including phenotypic abundance, genetic alternations, immune dynamics, clonal expansion, developmental trajectory, and molecular interactions that profoundly influence patient prognosis and therapeutic outcome. The key findings are further independently validated in two single-cell RNA sequencing cohorts and two bulk RNA-sequencing cohorts. In the present study, we reveal the correlation between NPC-specific characteristics and progression-free survival. Together, these data facilitate the understanding of the stromal landscape and immune dynamics in NPC patients and provides deeper insights into the development of prognostic biomarkers and therapeutic targets in the TME.


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