» Articles » PMID: 37352861

High-throughput Identification of Regulatory Elements and Functional Assays to Uncover Susceptibility Genes for Nasopharyngeal Carcinoma

Abstract

Large-scale genetic association studies have identified multiple susceptibility loci for nasopharyngeal carcinoma (NPC), but the underlying biological mechanisms remain to be explored. To gain insights into the genetic etiology of NPC, we conducted a follow-up study encompassing 6,907 cases and 10,472 controls and identified two additional NPC susceptibility loci, 9q22.33 (rs1867277; OR = 0.74, 95% CI = 0.68-0.81, p = 3.08 × 10) and 17q12 (rs226241; OR = 1.42, 95% CI = 1.26-1.60, p = 1.62 × 10). The two additional loci, together with two previously reported genome-wide significant loci, 5p15.33 and 9p21.3, were investigated by high-throughput sequencing for chromatin accessibility, histone modification, and promoter capture Hi-C (PCHi-C) profiling. Using luciferase reporter assays and CRISPR interference (CRISPRi) to validate the functional profiling, we identified PHF2 at locus 9q22.33 as a susceptibility gene. PHF2 encodes a histone demethylase and acts as a tumor suppressor. The risk alleles of the functional SNPs reduced the expression of the target gene PHF2 by inhibiting the enhancer activity of its long-range (4.3 Mb) cis-regulatory element, which promoted proliferation of NPC cells. In addition, we identified CDKN2B-AS1 as a susceptibility gene at locus 9p21.3, and the NPC risk allele of the functional SNP rs2069418 promoted the expression of CDKN2B-AS1 by increasing its enhancer activity. The overexpression of CDKN2B-AS1 facilitated proliferation of NPC cells. In summary, we identified functional SNPs and NPC susceptibility genes, which provides additional explanations for the genetic association signals and helps to uncover the underlying genetic etiology of NPC development.

Citing Articles

Translation of genome-wide association study: from genomic signals to biological insights.

Bruner W, Grant S Front Genet. 2024; 15:1375481.

PMID: 39421299 PMC: 11484060. DOI: 10.3389/fgene.2024.1375481.


Recent advances in early detection of nasopharyngeal carcinoma.

Jiang W, Zheng B, Wei H Discov Oncol. 2024; 15(1):365.

PMID: 39177900 PMC: 11343961. DOI: 10.1007/s12672-024-01242-3.


Advances in computational and experimental approaches for deciphering transcriptional regulatory networks: Understanding the roles of cis-regulatory elements is essential, and recent research utilizing MPRAs, STARR-seq, CRISPR-Cas9, and machine....

Moeckel C, Mouratidis I, Chantzi N, Uzun Y, Georgakopoulos-Soares I Bioessays. 2024; 46(7):e2300210.

PMID: 38715516 PMC: 11444527. DOI: 10.1002/bies.202300210.

References
1.
Chin Y, Mushiroda T, Takahashi A, Kubo M, Krishnan G, Yap L . HLA-A SNPs and amino acid variants are associated with nasopharyngeal carcinoma in Malaysian Chinese. Int J Cancer. 2014; 136(3):678-87. DOI: 10.1002/ijc.29035. View

2.
Sasaki M, Skol A, Bao R, Rhodes L, Chambers R, Vokes E . Integrated genomic analysis suggests MLL3 is a novel candidate susceptibility gene for familial nasopharyngeal carcinoma. Cancer Epidemiol Biomarkers Prev. 2015; 24(8):1222-8. PMC: 4526396. DOI: 10.1158/1055-9965.EPI-15-0275. View

3.
Mai Z, Lin J, Chiang S, Ngan R, Kwong D, Ng W . Test-retest reliability of a computer-assisted self-administered questionnaire on early life exposure in a nasopharyngeal carcinoma case-control study. Sci Rep. 2018; 8(1):7052. PMC: 5935670. DOI: 10.1038/s41598-018-25046-y. View

4.
Yu G, Hsu W, Coghill A, Yu K, Wang C, Lou P . Whole-Exome Sequencing of Nasopharyngeal Carcinoma Families Reveals Novel Variants Potentially Involved in Nasopharyngeal Carcinoma. Sci Rep. 2019; 9(1):9916. PMC: 6617453. DOI: 10.1038/s41598-019-46137-4. View

5.
Sung H, Ferlay J, Siegel R, Laversanne M, Soerjomataram I, Jemal A . Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries. CA Cancer J Clin. 2021; 71(3):209-249. DOI: 10.3322/caac.21660. View