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Whole-exome sequencing association study reveals genetic effects on tumor microenvironment components in nasopharyngeal carcinoma
Yanni Zeng, … , Yi-Xin Zeng, Jin-Xin Bei
Yanni Zeng, … , Yi-Xin Zeng, Jin-Xin Bei
Published January 2, 2025
Citation Information: J Clin Invest. 2025;135(1):e182768. https://doi.org/10.1172/JCI182768.
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Research Article Genetics Oncology Article has an altmetric score of 7

Whole-exome sequencing association study reveals genetic effects on tumor microenvironment components in nasopharyngeal carcinoma

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Abstract

Nasopharyngeal carcinoma (NPC) presents a substantial clinical challenge due to the limited understanding of its genetic underpinnings. Here we conduct the largest scale whole-exome sequencing association study of NPC to date, encompassing 6,969 NPC cases and 7,100 controls. We unveil 3 germline genetic variants linked to NPC susceptibility: a common rs2276868 in RPL14, a rare rs5361 in SELE, and a common rs1050462 in HLA-B. We also underscore the critical impact of rare genetic variants on NPC heritability and introduce a refined composite polygenic risk score (rcPRS), which outperforms existing models in predicting NPC risk. Importantly, we reveal that the polygenic risk for NPC is mediated by EBV infection status. Utilizing a comprehensive multiomics approach that integrates both bulk-transcriptomic (n = 356) and single-cell RNA sequencing (n = 56) data with experimental validations, we demonstrate that the RPL14 variant modulates the EBV life cycle and NPC pathogenesis. Furthermore, our data indicate that the SELE variant contributes to modifying endothelial cell function, thereby facilitating NPC progression. Collectively, our study provides crucial insights into the intricate genetic architecture of NPC, spotlighting the vital interplay between genetic variations and tumor microenvironment components, including EBV and endothelial cells, in predisposing to NPC. This study opens new avenues for advancements in personalized risk assessments, early diagnosis, and targeted therapies for NPC.

Authors

Yanni Zeng, Chun-Ling Luo, Guo-Wang Lin, Fugui Li, Xiaomeng Bai, Josephine Mun-Yee Ko, Lei Xiong, Yang Liu, Shuai He, Jia-Xin Jiang, Wen-Xin Yan, Enya Hui Wen Ong, Zheng Li, Ya-Qing Zhou, Yun-He Zhou, An-Yi Xu, Shu-Qiang Liu, Yun-Miao Guo, Jie-Rong Chen, Xi-Xi Cheng, Yu-Lu Cao, Xia Yu, Biaohua Wu, Pan-Pan Wei, Zhao-Hui Ruan, Qiu-Yan Chen, Lin-Quan Tang, James D. McKay, Wei-Hua Jia, Hai-Qiang Mai, Soon Thye Lim, Jian-Jun Liu, Dong-Xin Lin, Chiea Chuen Khor, Melvin Lee Kiang Chua, Mingfang Ji, Maria Li Lung, Yi-Xin Zeng, Jin-Xin Bei

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Figure 6

RPL14 inhibits EBV infection and lytic cycle activation in NPC cells.

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RPL14 inhibits EBV infection and lytic cycle activation in NPC cells.
(...
(A) The top 20 pathways significantly associated with RPL14 expression in malignant epithelial cells from NPC tumor. (B) Correlation analysis between RPL14 expression and EBV-activity scores within malignant epithelial cells (dots). (C) Single-cell transcriptome analysis showing LMP1 and LMP2 expression in NPC samples with rs2276868-[CC], -[CT], or -[TT] genotypes. (D) Western blot assessment of the knockdown efficiency of RPL14 siRNAs or control siRNA in S26 and HK-1 cells. Actin was used as a loading control. (E) Flow cytometry quantification of GFP intensity for the EBV infection efficiency in the NPC cells described in D. (F) Western blot assay showing RPL14 protein expression in S26 and HK-1 cells infected with lentivirus stably expressing RPL14. Actin served as a loading control. (G) Flow cytometry assessment of EBV infection efficiency in the cells described in F, which was then infected with EBV. (H and I) RT-qPCR analysis of EBV lytic gene expression in CNE2-EBV and C666-1 cells transfected with RPL14 siRNAs or control siRNA (H) or infected with lentivirus stably expressing RPL14 vector or control vector (I). Between-group comparisons: t test for 2 groups, 1-way ANOVA followed by Šidák’s post hoc test (comparisons among all groups) or Dunnett’s post hoc test (comparisons with the control group) for comparisons among more than 2 groups. *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001.

Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)

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