Evidence map›Paper›PMID 42660902›Full record

ArticleNature communications2026

Single-cell profiling of natural killer/T-cell lymphoma reveals stratified immune features and potential therapeutic implications.

Yi Cao, Jun Cai, Danling Dai, Jinni Wang, Yuchen Zhang, Jie Xiong, Huiqiang Huang, Yan Gao, Yi Xia, Fang Liu and 9 more

Abstract read
In one paragraph

Article in Nature communications, 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

19 authors.

Yi Cao *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Jun Cai *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.ORCID 0009-0004-5110-1976
Danling Dai *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Jinni Wang *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Yuchen Zhang *State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.ORCID 0000-0003-3378-1520
Jie Xiong *Shanghai Institute of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China.ORCID 0000-0002-7547-5049
Huiqiang HuangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.ORCID 0000-0002-9090-1907
Yan GaoState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Yi XiaState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.ORCID 0009-0003-1526-1043
Fang LiuState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Xinna GaoState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Shenrui BaiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Qihua ZouState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Jiahui WangState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China.
Shuyun MaDepartment of Oncology, The Third Xiangya Hospital of Central South University, Changsha, P.R. China.
Junfeng JiangDepartment of Hematology, Sun Yat-sen University Cancer Center Gansu Hospital, Lanzhou, P.R. China.
Weili ZhaoShanghai Institute of Hematology, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, P.R. China. zhao.weili@yahoo.com.ORCID 0000-0002-6834-1616
Wenlong ZhongDepartment of Urology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, P.R. China. zhongwlong3@mail.sysu.edu.cn.ORCID 0000-0001-5343-4652
Qingqing CaiState Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, P.R. China. caiqq@sysucc.org.cn.ORCID 0000-0001-5447-3282

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82230001, 82270199, 82400228, and U24A20680
6 · The paper itself

Abstract

Tumor cell heterogeneity and interactions with the immune microenvironment play a key role in the progression and therapeutic efficacy of natural killer/T-cell lymphoma (NKTCL). We perform single-cell RNA sequencing analysis of 63 samples, integrating spatial transcriptomics, bulk transcriptomics, proteomics, and metabolomics to dissect inter- and intra-tumoral heterogeneity. Four meta-programs (MP) are identified, including MP1 (immune-responsive), MP2 (proliferative), MP3 (inflammatory), and MP4 (metabolic), each linked to distinct molecular and immune features. MP1 exhibits an immune-exhausted tumor microenvironment and high programmed death-ligand 1 expression, suggesting a potential response to immune checkpoint blockade. MP2 shows an immune-desert phenotype with elevated HDAC2 and MKI67 expression, indicating epigenetic regulation in tumor proliferation. MP3 is characterized by a myeloid-dominant tumor microenvironment, JAK/STAT pathway activation, and an aggressive clinical course. MP4 exhibits a distinct amino acid metabolic profile and enriched tertiary lymphoid structures. Collectively, our study provides a high-resolution molecular atlas of NKTCL heterogeneity, offering insights into patient stratification and potential avenues for future therapeutic development.

Indexed as

Lymphoma, Extranodal NK-T-CellSingle-Cell AnalysisGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMetabolomicsProteomicsSingle-Cell Gene Expression AnalysisTranscriptomeTumor Microenvironment

Identifiers

PMID42660902
PMCPMC13522500

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