Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Human induced pluripotent stem cells (iPSCs) offer a promising source for chimeric antigen receptor (CAR)-engineered natural killer (NK) products. However, complex iPSC-NK (iNK) manufacturing challenges clinical use. Here, we identified LiPSC-GR1.1 as a superior iPSC line for iNK production. By engineering LiPSC-GR1.1 with a mesothelin (MSLN)-targeting CAR and interleukin-15 (IL-15), we achieved robust differentiation of iPSCs into mature activated iNK cells with enhanced tumor killing efficacy, superior tumor homing, and vigorous proliferation. Single-cell transcriptomic analysis revealed that transforming growth factor-β (TGF-β)-producing tumor cells up-regulated major histocompatibility complex molecules and down-regulated MSLN post-CAR-IL-15 iNK treatment. Tumor-infiltrating CAR-IL-15 iNK cells exhibited high levels of CAR, IL-15, and NK-activating receptors, negligible checkpoint exhaustion markers, and extremely low levels of NK suppressive factors , , and , enabling them to sustain activation, metabolic fitness, and effective tumor killing within TGF-β-rich hypoxic tumor microenvironment. Overall, we developed MSLN.CAR-IL-15-engineered GR1.1-iNK therapy with enhanced antitumor efficacy for solid tumor treatment.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12047432PMC
http://dx.doi.org/10.1126/sciadv.adt9932DOI Listing

Publication Analysis

Top Keywords

robust differentiation
8
enhanced antitumor
8
antitumor efficacy
8
efficacy solid
8
ink cells
8
tumor killing
8
tumor
6
cells
5
ink
5
differentiation cells
4

Similar Publications

Cognitive impairment and dementia, including Alzheimer's disease (AD), pose a global health crisis, necessitating non-invasive biomarkers for early detection. This review highlights the retina, an accessible extension of the central nervous system (CNS), as a window to cerebral pathology through structural, functional, and molecular alterations. By synthesizing interdisciplinary evidence, we identify retinal biomarkers as promising tools for early diagnosis and risk stratification.

View Article and Find Full Text PDF

Integrative profiling of lung cancer biomarkers EGFR, ALK, KRAS, and PD-1 with emphasis on nanomaterials-assisted immunomodulation and targeted therapy.

Front Immunol

September 2025

Department of Thoracic Surgery, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University), Shenzhen, Guangdong, China.

Background: Lung cancer remains the leading cause of cancer-related mortality globally, primarily due to late-stage diagnosis, molecular heterogeneity, and therapy resistance. Key biomarkers such as EGFR, ALK, KRAS, and PD-1 have revolutionized precision oncology; however, comprehensive structural and clinical validation of these targets is crucial to enhance therapeutic efficacy.

Methods: Protein sequences for EGFR, ALK, KRAS, and PD-1 were retrieved from UniProt and modeled using SWISS-MODEL to generate high-confidence 3D structures.

View Article and Find Full Text PDF

Oropouche virus (OROV) is emerging as a growing public health concern, with increasing numbers of case, an expanding global spread and the potential for severe clinical outcomes. However, despite the increasing incidence, the clinical features of OROV infections have not yet been thoroughly examined. The present systematic review and meta-analysis aimed to investigate the prevalence of clinical manifestations in OROV infections.

View Article and Find Full Text PDF

This study introduces a Drought Adaptation Index (DAI), derived from Best Linear Unbiased Prediction (BLUP), as a method to assess drought resilience in switchgrass ( L.). A panel of 404 genotypes was evaluated under drought-stressed (CV) and well-watered (UC) conditions over four consecutive years (2019-2022).

View Article and Find Full Text PDF

Background And Aim: Granulosa cells (GCs) are crucial mediators of follicular development and oocyte competence in goats, with their gene expression profiles serving as potential biomarkers of fertility. However, the lack of a standardized, quantifiable method to assess GC quality using transcriptomic data has limited the translation of such findings into reproductive applications. This study aimed to develop a hybrid deep learning model integrating one-dimensional convolutional neural networks (1DCNNs) and gated recurrent units (GRUs) to classify GCs as fertility-supporting (FS) or non-fertility-supporting (NFS) using single-cell RNA sequencing (scRNA-seq) data.

View Article and Find Full Text PDF