Evidence map›Paper›PMID 41188930›Full record

ArticleVirology journal2025

An automatic NGS feature extraction algorithm for predicting EBV-associated nasopharyngeal cancer and high-risk mutation.

Ying Wang, Honglian Huang, Xiao Xiao, Jiao Wei, Tian Long, Chenjun Huang, Wenchao Ai, Yuantao Tong, Lin Guo, Renquan Lu and 1 more

Abstract read
In one paragraph

Article in Virology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Review
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

11 authors.

Ying Wang *Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.
Honglian Huang *Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.
Xiao Xiao *Department of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.
Jiao WeiDepartment of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.
Tian LongDepartment of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.
Chenjun HuangDepartment of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China.
Wenchao AiDepartment of Laboratory Medicine, Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, China.
Yuantao TongSchool of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.
Lin GuoDepartment of Clinical Laboratory, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Renquan LuDepartment of Clinical Laboratory, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Chunfang GaoDepartment of Clinical Laboratory Medicine Center, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China. gaocf1115@163.com.

Funding

Clinical Research Project of Shanghai Municipal Health Commission 20224Y0057Innovation Group Project of Shanghai Municipal Health Commission 2019CXJQ03National Natural Science Foundation of China 32370694National Natural Science Foundation of China 82372321Shanghai Public Health Research Project 2024GKM25
6 · The paper itself

Abstract

Epstein-Barr virus (EBV) infection is closely associated with the occurrence of nasopharyngeal carcinoma (NPC). The latent membrane protein 1 (LMP1) gene, known for its high heterogeneity, plays a crucial role in the oncogenic potential of EBV associated NPC (EBVaNPC). This study aimed to integrate algorithm with experimental validation to contribute valuable insights into the early detection and risk assessment of EBVaNPC, and investigate the functional significance of LMP1 key mutation. The LMP1 region in clinical EBV-positive subjects was sequenced with amplicon-based next-generation sequencing. An automatic viral sequence feature extraction (ViSFE) approach was developed. Biological implications of predicted key mutation on tumor cell biological behaviors were investigated through qRT-PCR, EdU analysis, transwell invasion assay, RNA sequencing and gene ontology fingerprint (GOF) method. Validation results demonstrate the feasibility of ViSFE applied to nucleotide data of varying lengths. Our study identified H101R mutation in LMP1 as a top feature, confirmed by proliferation and invasion experiments. By integrating EBVaNPC GOF and RNA sequencing data, the differentially expressed genes linked to the H101R mutation were primarily involved in immune regulation processes. Both approaches indicated a notable association between FOXP3-T cell anergy and WNT7A-stem cell population maintenance in HNE-1

Indexed as

AlgorithmsEpstein-Barr Virus InfectionsHerpesvirus 4, HumanHigh-Throughput Nucleotide SequencingMutationNasopharyngeal CarcinomaNasopharyngeal NeoplasmsViral Matrix ProteinsHumansEBV-associated membrane antigen, Epstein-Barr virusViral Matrix Proteins

Identifiers

PMID41188930
PMCPMC12584326

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