Evidence map›Paper›PMID 38566223›Full record

ArticleGenome medicine2024

Full-spectral genome analysis of natural killer/T cell lymphoma highlights impacts of genome instability in driving its progression.

Zegeng Chen, He Huang, Huangming Hong, Huageng Huang, Huawei Weng, Le Yu, Jian Xiao, Zhao Wang, Xiaojie Fang, Yuyi Yao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Epstein-Barr Virus-Associated T/NK-Cell Neoplasms.Journal of medical virology · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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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

12 authors at 2 institutions in 1 country.

Zegeng Chen *State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
He Huang *Department of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Huangming Hong *Department of Medical Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, China.
Huageng HuangDepartment of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Huawei WengDepartment of Medical Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, China.
Le YuDepartment of Medical Oncology, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, 610041, China.
Jian XiaoDepartment of Medical Oncology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, China.
Zhao WangDepartment of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Xiaojie FangDepartment of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Yuyi YaoDepartment of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China.
Jia-Xing YueState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China. yuejiaxing@gmail.com.ORCID 0000-0002-2122-9221
Tongyu LinDepartment of Medical Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, 510060, China. linty@sysucc.org.cn.
Sun Yat-sen University · CNUniversity of Electronic Science and Technology of China · CN

Funding

Guangdong Basic and Applied Basic Research Foundation 2022A1515010717Guangdong Provincial Pearl River Talents Program 2019QN01Y183Guangdong Science and Technology Department 2017B020227002National Natural Science Foundation of China 32070592National Natural Science Foundation of China 82270198Sun Yat-sen University Cancer Center YTP-SYSUCC-0042the Regional Innovation and Cooperation Project of Sichuan Province 2021YFQ0037
6 · The paper itself

Abstract

backgroundNatural killer/T cell lymphoma (NKTCL) is a clinically and genetically heterogeneous disease with poor prognosis. Genome sequencing and mutation characterization provides a powerful approach for patient stratification, treatment target discovery, and etiology identification. However, previous studies mostly concentrated on base-level mutations in primary NKTCL, whereas the large-scale genomic alterations in NKTCL and the mutational landscapes in relapsed/refractory NKTCL remain largely unexplored.

methodsHere, we assembled whole-genome sequencing and whole-exome sequencing data from 163 patients with primary or relapsed/refractory NKTCL and compared their somatic mutational landscapes at both nucleotide and structure levels.

resultsOur study not only confirmed previously reported common NKTCL mutational targets like STAT3, TP53, and DDX3X but also unveiled several novel high-frequency mutational targets such as PRDM9, DST, and RBMX. In terms of the overall mutational landscape, we observed striking differences between primary and relapsed/refractory NKTCL patient groups, with the latter exhibits higher levels of tumor mutation burden, copy number variants (CNVs), and structural variants (SVs), indicating a strong signal of genomic instability. Complex structural rearrangements such as chromothripsis and focal amplification are also significantly enriched in relapsed/refractory NKTCL patients, exerting a substantial impact on prognosis. Accordingly, we devised a novel molecular subtyping system (i.e., C0-C4) with distinct prognosis by integrating potential driver mutations at both nucleotide and structural levels, which further provides an informative guidance for novel treatments that target these specific driver mutations and genome instability as a whole.

conclusionsThe striking differences underlying the mutational landscapes between the primary and relapsed/refractory NKTCL patients highlight the importance of genomic instability in driving the progression of NKTCL. Our newly proposed molecular subtyping system is valuable in assisting patient stratification and novel treatment design towards a better prognosis in the age of precision medicine.

Indexed as

Lymphoma, Extranodal NK-T-CellGenomic InstabilityHistone-Lysine N-MethyltransferaseHumansKiller Cells, NaturalMutationNucleotidesHistone-Lysine N-MethyltransferaseNucleotidesPRDM9 protein, humanChromothripsisGenome instabilityGenomic alterationMolecular subtypesNatural killer/T cell lymphoma

Identifiers

PMID38566223
PMCPMC10986005
OpenAlexW4393433272

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LicenceCC BY
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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.