Evidence map›Paper›PMID 41845478›Full record

ArticleJournal of experimental & clinical cancer research : CR2026

Engineering CLL-1 CAR-NK cells via mRNA-LNP for potent antitumor activity and reversal of HLA-E-mediated resistance in acute myeloid leukemia.

Jie Shen, Peng Jin, Yebing Liang, Jinyang Zhu, Rufang Xiang, Zeyi Li, Hongming Zhu, Xiaoyang Li, Yunxiang Zhang, Wei Wang and 2 more

Abstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 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

12 authors.

Jie Shen *Shanghai 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.
Peng Jin *Shanghai 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.
Yebing Liang *Shanghai 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.
Jinyang ZhuShanghai 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.
Rufang XiangShanghai 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.
Zeyi LiShanghai 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.
Hongming ZhuShanghai 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.
Xiaoyang LiShanghai 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.
Yunxiang ZhangShanghai 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 WangShanghai Xinpu BioTechnology Company Limited, Shanghai, China. weiwang@xinpuoncology.com.
Zhen JinShanghai 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. jz12338@rjh.com.cn.
Junmin LiShanghai 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. drlijunmin@126.com.

Funding

National Natural Science Foundation of China 82000196National Natural Science Foundation of China 82370157National Natural Science Foundation of China 82400226
6 · The paper itself

Abstract

backgroundAcute myeloid leukemia (AML) remains a highly lethal malignancy, with relapse primarily driven by resistance to chemotherapy or targeted therapies. Existing chimeric antigen receptor T cell (CAR-T) strategies are limited by toxicity and complex manufacturing, underscoring the need for transient, controllable, and safe CAR-engineering platforms that can selectively target multidrug-resistant (MDR) AML cells.

methodsWe developed a lipid nanoparticle (LNP)–based mRNA delivery platform for scalable generation of C-type lectin-like molecule-1 (CLL-1) CAR-NK cells. NK phenotype, cytotoxicity, cytokine secretion, and safety were evaluated ex vivo against AML cell lines and patient-derived blasts, with in vivo efficacy tested in xenograft NSG mouse models. Mechanisms of adaptive resistance were investigated through transcriptomic profiling, modulation of the NKG2A/HLA-E axis, and functional interrogation of the JAK2–STAT1 signaling pathway.

resultsDrug-response profiling across AML cohorts identified a multidrug-resistant subgroup marked by a distinct transcriptomic program in which CLL-1 was the only validated CAR target upregulated. mRNA–LNP transfection enabled efficient generation of primary CLL-1 CAR-NK cells with preserved phenotype and potent, antigen-specific cytotoxicity against AML cells, while sparing normal hematopoietic progenitors. In vivo, repeated CAR-NK infusions markedly suppressed leukemia progression and prolonged survival. Transcriptomic analyses of tumor cells surviving CAR-NK exposure revealed inflammatory activation with progressive HLA-E upregulation, which impaired CAR-NK function. NKG2A blockade restored cytotoxicity ex vivo and enhanced leukemia clearance and survival in vivo. Mechanistically, prolonged CAR-NK engagement or IFN-γ stimulation activated a JAK2–STAT1 axis that drove sustained HLA-E induction. JAK2 knockdown reduced HLA-E expression and sensitized AML cells to CAR-NK–mediated killing, whereas pharmacologic JAK2 inhibition also decreased HLA-E expression but concurrently impaired NK-cell activation, thereby limiting the overall therapeutic benefit.

conclusionsTransient, non-integrating mRNA–LNP–transfected CLL-1 CAR-NK cells provide a safe and effective strategy for MDR AML. Repeated dosing enables robust antitumor activity, while adaptive resistance via NKG2A/HLA-E axis can be mitigated through checkpoint blockade. The JAK2–STAT1 pathway represents a potential upstream modulator, providing opportunities for rational combinatorial approaches to optimize CAR-NK therapy.

Indexed as

Histocompatibility Antigens Class IImmunotherapy, AdoptiveKiller Cells, NaturalLeukemia, Myeloid, AcuteNanoparticlesReceptors, Chimeric AntigenRNA, MessengerAnimalsCell Line, TumorDrug Resistance, NeoplasmHLA-E AntigensHumansMiceXenograft Model Antitumor AssaysHistocompatibility Antigens Class IHLA-E AntigensReceptors, Chimeric AntigenRNA, MessengerAcute myeloid leukemiaChimeric antigen receptorLipid nanoparticlesMRNAMultidrug resistanceNatural killer cells

Identifiers

PMID41845478
PMCPMC13107750

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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.