Evidence map›Paper›PMID 41242997›Full record

ArticleAnnals of hematology2025

Serum triglyceride and apolipoprotein A1 as dynamic biomarkers in extranodal NK/T-cell lymphoma (ENKTL): A multicenter retrospective and prospective validation study.

Jin-Ni Wang, Jie Xiong, Han-Guo Guo, Zhi-Hua Li, Yi Cao, Yu Fang, Yu-Ying Liu, Yan-Hong Li, Jun Cai, Yu-Chen Zhang and 9 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Annals of hematology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

19 authors.

Jin-Ni Wang *Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Jie Xiong *Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, P.R. China.
Han-Guo Guo *Division of Lymphoma, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, School of Medicine, South China University of Technology, Guangzhou, P.R. China.
Zhi-Hua LiDepartment of Oncology, Sun Yat-sen Memorial Hospital, Guangzhou, P.R. China.
Yi CaoDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Yu FangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Yu-Ying LiuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat- sen University Cancer Center, Guangzhou, P.R. China.
Yan-Hong LiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Collaborative Innovation Center of Cancer Medicine, Sun Yat- sen University Cancer Center, Guangzhou, P.R. China.
Jun CaiDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Yu-Chen ZhangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Qi-Hua ZouDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Jia-Hui WangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Yi XiaDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Hui-Qiang HuangDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Chang-Gang SunCollege of Traditional Chinese Medicine, Weifang Medical University, Weifang, P.R. China.
Song-Qi LiSun Yat-sen University Zhongshan School of Medicine, Guangzhou, P.R. China.
Liang WangDepartment of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing, P.R. China. wangliangtrhos@126.com.
Wei-Li ZhaoShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine, Rui Jin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, 197 Rui Jin Er Road, Shanghai, P.R. China.
Qing-Qing CaiDepartment of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.

Funding

Beijing Xisike Clinical Oncology Research Foundation Y-SYBLD2022MS-0142Beijing Xisike Clinical Oncology Research Foundation Y-XD2019-124, Y-SY2021ZD-0110Guangzhou Science and Technology Program 2024B03J1291National Key Research and Development Program 2022YFC2502602National Natural Science Foundation of China 82230001 and 82270199Natural Science Foundation of Guangdong Province 2024A1515012975Sun Yat-Sen University Clinical Research 5010 Program 2020009
6 · The paper itself

Abstract

Extranodal NK/T-cell lymphoma (ENKTL), an aggressive non-Hodgkin lymphoma subtype, exhibits understudied links between lipid metabolism and clinical outcomes. We analyzed 1,017 patients newly diagnosed with ENKTL and matched controls, with longitudinal LC-MS-based metabolomic profiling (n = 29) and pretreatment tumor transcriptomic analysis (n = 65). Multivariable Cox models evaluated lipid biomarkers. Patients with ENKTL showed significantly elevated triglycerides (TG) and reduced apolipoprotein A1 (ApoA1) vs. controls (both p < 0.001). Elevated TG (progression-free survival [PFS] HR = 1.33, 95% CI 1.04-1.69; overall survival [OS] HR = 1.37, 95% CI 1.04-1.80) and reduced ApoA1 (PFS HR = 1.47, 95% CI 1.07-2.03; OS HR = 1.65, 95% CI 1.15-2.38) independently predicted inferior survival (all p < 0.05). Patients with an objective response demonstrated metabolic profile normalization: patients with high-TG levels (≥ median) experienced TG reduction and patients with low-ApoA1 levels (< median) experienced ApoA1 elevation (both p < 0.001), whereas patients with stable or progressive disease retained baseline profiles. These metabolic shifts predicted survival benefit (all p < 0.001). In the prospective cohort, patients with complete response (CR) had significantly higher baseline levels of 22 serum TG species compared with non-CR patients (fold change > 2.0, p < 0.05). Longitudinal analyses revealed divergent TG trajectories: patients without CR exhibited sustained high-level fluctuations, whereas patients with CR demonstrated stabilization at low levels. Transcriptome analysis suggested tumor-intrinsic lipid dysregulation in patients with high-TG/low-ApoA1 levels. Serum TG and ApoA1 serve as dynamic biomarkers in ENKTL.

Indexed as

Apolipoprotein A-IBiomarkers, TumorLymphoma, Extranodal NK-T-CellTriglyceridesAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesRetrospective StudiesAPOA1 protein, humanApolipoprotein A-IBiomarkers, TumorTriglyceridesBiomarkerExtranodal NK/T-cell lymphomaLipid metabolismPrognosis

Identifiers

PMID41242997
PMCPMC12764532

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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.