Evidence map›Paper›PMID 38359790›Full record

ArticleCell genomics2024

Host genetic variants, Epstein-Barr virus subtypes, and the risk of nasopharyngeal carcinoma: Assessment of interaction and mediation.

Miao Xu, Ruimei Feng, Zhonghua Liu, Xiang Zhou, Yanhong Chen, Yulu Cao, Linda Valeri, Zilin Li, Zhiwei Liu, Su-Mei Cao and 16 more

Open access · goldAbstract read
In one paragraph

Article in Cell genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 20 citations in OpenAlex.

  1. Survival and patterns of recurrence in patients with nasopharyngeal carcinoma from a non-endemic region-A German multicenter analysis.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026
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  4. EBV Genome Variations and Association With Diseases.Journal of medical virology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

26 authors at 15 institutions in 4 countries.

Miao XuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Ruimei FengDepartment of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030012, Shanxi, China.
Zhonghua LiuDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Xiang ZhouState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China; Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangdong, China.
Yanhong ChenState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yulu CaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Linda ValeriDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.
Zilin LiDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA; School of Mathematics and Statistics, Northeast Normal University, Changchun, China.
Zhiwei LiuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Su-Mei CaoState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Qing LiuState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Shang-Hang XieState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Ellen T ChangCenter for Health Sciences, Menlo Park, CA, USA; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA.
Wei-Hua JiaState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jincheng ShenDepartment of Population Health Sciences, University of Utah, Salt Lake City, UT, USA.
Youyuan YaoDepartment of Geriatric Oncology, Jiangsu Province Hospital, The First Affiliated Hospital with Nanjing Medical University, Nanjing, China.
Yong-Lin CaiGuangxi Health Commission Key Laboratory of Molecular Epidemiology of Nasopharyngeal Carcinoma, Wuzhou Red Cross Hospital, Wuzhou, China.
Yuming ZhengGuangxi Health Commission Key Laboratory of Molecular Epidemiology of Nasopharyngeal Carcinoma, Wuzhou Red Cross Hospital, Wuzhou, China.
Zhe ZhangDepartment of Otolaryngology/Head and Neck Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Guangwu HuangDepartment of Otolaryngology/Head and Neck Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Ingemar ErnbergDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden.
Minzhong TangDepartment of Otolaryngology/Head and Neck Surgery, First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Weimin YeDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Department of Epidemiology and Health Statistics & Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, Fuzhou, China. Electronic address: ywm@fjmu.edu.cn.
Hans-Olov AdamiDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden; Clinical Effectiveness Group, Institute of Health and Society, University of Oslo, Oslo, Norway. Electronic address: hadami@hsph.harvard.edu.
Yi-Xin ZengState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China. Electronic address: zengyx@sysucc.org.cn.
Xihong LinDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA. Electronic address: xlin@hsph.harvard.edu.
Sun Yat-sen University Cancer Center · CNColumbia University · USGuangxi Medical University · CNHarvard University · USKarolinska Institutet · SEWuzhou Red Cross Hospital · CNFirst Affiliated Hospital of GuangXi Medical University · CNFujian Medical University · CNGuangzhou Medical University · CNNanjing Medical University · CNNortheast Normal University · CNOklahoma State University Center for Health Sciences · USShanxi Medical University · CNSun Yat-sen University · CNUniversity of Utah · US

Funding

Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Mattias Alexander Johansson · 2017 to 2026
$23.7M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
Statistical Methods for the Spatio-Temporal Assessment of Social Disparities in CancerP01CA134294 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI HANEUSE, SEBASTIEN, HERNAN, MIGUEL · 2008 to 2017
$6.8M
NCI NIH HHS P01 CA134294NCI NIH HHS R35 CA197449
6 · The paper itself

Abstract

Epstein-Barr virus (EBV) and human leukocyte antigen (HLA) polymorphisms are well-known risk factors for nasopharyngeal carcinoma (NPC). However, the combined effects between HLA and EBV on the risk of NPC are unknown. We applied a causal inference framework to disentangle interaction and mediation effects between two host HLA SNPs, rs2860580 and rs2894207, and EBV variant 163364 with a population-based case-control study in NPC-endemic southern China. We discovered the strong interaction effects between the high-risk EBV subtype and both HLA SNPs on NPC risk (rs2860580, relative excess risk due to interaction [RERI] = 4.08, 95% confidence interval [CI] = 2.03-6.14; rs2894207, RERI = 3.37, 95% CI = 1.59-5.15), accounting for the majority of genetic risk effects. These results indicate that HLA genes and the high-risk EBV have joint effects on NPC risk. Prevention strategies targeting the high-risk EBV subtype would largely reduce NPC risk associated with EBV and host genetic susceptibility.

Indexed as

Epstein-Barr Virus InfectionsNasopharyngeal NeoplasmsCase-Control StudiesHerpesvirus 4, HumanHumansNasopharyngeal CarcinomaPolymorphism, Single Nucleotidecausal inferenceEpstein-Barr virusgenetic susceptibility to cancerHLA polymorphisminteractionmediationnasopharyngeal carcinoma

Identifiers

PMID38359790
PMCPMC10879020
OpenAlexW4391493418

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.