Evidence map›Paper›PMID 41564436›Full record

ArticleBlood advances2026

Serum free fatty acid promotes tumor progression and predicts golidocitinib sensitivity in peripheral T-cell lymphoma.

Yao Qin, Pan-Hui Xia, Yao-Hui Huang, Shu Cheng, Jia-Ying Liu, Xiao Gao, Ming-Ci Cai, Cong Wang, Yu-Ran Qiu, Song Hu and 6 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. 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

16 authors.

Yao QinShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Pan-Hui XiaShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yao-Hui HuangShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shu ChengShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jia-Ying LiuShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiao GaoShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Ming-Ci CaiShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Cong WangShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yu-Ran QiuShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Song HuShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Qing ShiShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hao-Xu YangShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jia-Yi ZhaoShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lan WangShanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.
Jie XiongShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wei-Li ZhaoShanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-6834-1616

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractPeripheral T-cell lymphoma (PTCL) is an aggressive and heterogeneous lymphoma subtype with high chemoresistance and poor prognosis. Common peripheral blood disease biomarkers with therapeutic potential are lacking. In this study, we analyzed the serum metabolic profiles of 557 patients with newly diagnosed PTCL, including 278 extranodal natural killer/T-cell lymphoma (NKTCL), 117 patients with nodal T-follicular helper cell lymphoma (nTFHL), 92 with PTCL, not otherwise specified (PTCL-NOS), 36 with anaplastic lymphoma kinase (ALK)-positive anaplastic large-cell lymphoma (ALCL), and 34 with ALK-negative ALCL. We identified high free fatty acid (FFA) as an adverse prognostic biomarker across PTCL subtypes. Integrative analysis of transcriptomic and single-cell RNA-sequencing data sets further revealed that serum FFA linked to JAK-STAT signaling activation and a suppressive tumor microenvironment, characterized by increased infiltration of monocytic myeloid-derived suppressor cells (MDSCs) in NKTCL and M2 macrophages in nTFHL and PTCL-NOS, respectively. The selective JAK1 inhibitor golidocitinib showed pronounced antitumor efficacy in coculture systems under palmitic acid-induced high-FFA conditions and in syngeneic and xenograft murine lymphoma models fed with high-fat diet through the JAK-STAT- interleukin-6 (IL-6)/IL-10 axis-mediated inhibition of MDSCs in NKTCL and M2 macrophages in nTFHL and PTCL-NOS, respectively. In alignment with our experimental findings, relapsed or refractory patients with PTCL, who had high serum FFA levels, exhibited superior responses to golidocitinib treatment than those with low serum FFA levels. Collectively, high serum FFA is related to tumor progression and indicates golidocitinib sensitivity, providing novel insights into reprogramming lipid metabolism to dually target the tumor and microenvironment in PTCL.

Indexed as

Fatty Acids, NonesterifiedLymphoma, T-Cell, PeripheralAnimalsDisease ProgressionDrug Resistance, NeoplasmFemaleHumansMaleMicePrognosisTumor MicroenvironmentFatty Acids, Nonesterified

Identifiers

PMID41564436
PMCPMC13049630

What Socratic 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 Socratic graph.