Evidence map›Paper›PMID 41824796›Full record

ArticleBlood advances2026

Dynamic monitoring of circulating cell-free EBV-DNA for risk assessment in early-stage natural killer/T-cell lymphoma.

Zegeng Chen, He Huang, Xiaojie Fang, Yuke Tian, Huawei Weng, Robert Peter Gale, Liqun Zou, Wei Zhang, Zhiming Li, Hongqiang Guo and 5 more

Abstract read
In one paragraph

Article in Blood advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

15 authors.

Zegeng ChenState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
He HuangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID 0000-0001-5474-4118
Xiaojie FangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Yuke TianDepartment of Medical Oncology, Sichuan Cancer Hospital and Institute, Chengdu, China.
Huawei WengDepartment of Medical Oncology, Sichuan Cancer Hospital and Institute, Chengdu, China.
Robert Peter GaleCentre for Haematology, Department of Immunology and Inflammation, Imperial College London, London, United Kingdom.
Liqun ZouDepartment of Medical Oncology of Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
Wei ZhangDepartment of Medical Oncology, Sichuan Cancer Hospital and Institute, Chengdu, China.
Zhiming LiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Hongqiang GuoThe Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, China.
Jingjing GeState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.
Nan ChenDepartment of Oncology, The Fifth Affiliated Hospital Sun Yat-sen University, Zhuhai, China.
Yang LiangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.ORCID 0000-0002-4226-9580
Huangming HongDepartment of Medical Oncology, Sichuan Cancer Hospital and Institute, Chengdu, China.
Tongyu LinState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractAlthough circulating tumor DNA has shown promise in real-time monitoring of recurrence risk in various solid tumors, the clinical relevance of cell-free Epstein-Barr virus (EBV) DNA (cfEBV-DNA) in natural killer/T-cell lymphoma (NKTCL) remains unclear. In this study, 710 consecutive patients with early-stage NKTCL were included from 5 hospitals between January 2014 and December 2022, all of whom underwent longitudinal monitoring of cfEBV-DNA. All patients received asparaginase-based induction chemotherapy (IC) followed by radiation therapy (RT). The pretreatment cfEBV-DNA was positive in 487 patients (68.6%), 258 of whom became negative after the first cycles of IC. During chemotherapy, the percentage of patients becoming cfEBV-DNA-negative increased, whereas the velocity of cfEBV-DNA clearance decreased. Achieving cfEBV-DNA negativity during different treatment phases (post-IC cycle 1 [post-IC1] to post-IC6, and post-RT) was significantly associated with better progression-free survival (PFS) and overall survival (OS) compared with those who remained positive (all P< .01). Subsequently, using unsupervised clustering analysis, patients were classified into 4 cfEBV-DNA response phenotypes: (1) consistently negative, (2) early response, (3) late response, and (4) no response. These cohorts had significantly different 5-year PFS (94%, 83%, 57%, and 18%, respectively; P value for trend < .001) and OS (98%, 91%, 70%, and 33%, respectively; P value for trend < .001). In the Cox multivariable analyses, cfEBV-DNA response phenotype was still independently correlated with PFS and OS. In conclusion, dynamic monitoring of on-treatment cfEBV-DNA provides longitudinally prognostic information in patients with early-stage NKTCL and may have therapy implications.

Indexed as

Cell-Free Nucleic AcidsDNA, ViralEpstein-Barr Virus InfectionsHerpesvirus 4, HumanLymphoma, Extranodal NK-T-CellAdultAgedFemaleHumansMaleMiddle AgedNeoplasm StagingRisk AssessmentCell-Free Nucleic AcidsDNA, Viral

Identifiers

PMID41824796
PMCPMC13195602

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LicenceCC BY-NC-ND
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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.