The long non-coding RNA UGDH-AS1 encodes an NK-cell-inhibiting micropeptide in triple-negative breast cancers

NK cells are important for the anti-tumour immune response for their potential to kill MHC class I-deficient tumor cells, but they often become dysfunctional in the immune-hostile tumour microenvironment. Here, using single-cell RNA sequencing, we identify an NK cell subpopulation that is specific to triple-negative breast cancers (TNBC) subtype, characterised by the expression of the long non-coding RNA UGDH-AS1. In these NK cells, UGDH-AS1 encodes the micropeptide, NKSM, which renders these NK cells dysfunctional due to the loss of their activation program, which leads to cancer progression. Conditional NKSM knock-in into NK cells of mice results in NK cell deactivation and increased growth of transplanted tumours. Targeted NKSM therapy effectively reduces tumor growth in TNBC mouse models. We find that UGDH-AS1<sup>+</sup> NK cells are shaped by the tumor microenvironment (TME). Following upregulation by the TGF-β signaling pathway, NKSM binds to Myc, inhibiting its ERK1/2-mediated phosphorylation at Serine 62 and thus reducing its stability. Decreased Myc activity results in deregulation of T-bet, a key protein involved in NK cell function, which leads to NK cell deactivation. Our study thus provides mechanistic insight int NK cell dysfunctionality in TNBC and lays down the proof of principle for an NK-cell-targeting TNBC immunotherapy.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-12-12
DOI
https://doi.org/10.1038/s41467-025-66266-x
Primary Topic
Immune Cell Function and Interaction
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The long non-coding RNA UGDH-AS1 encodes an NK-cell-inhibiting micropeptide in triple-negative breast cancers

Wanqiu Li, Binbin Guo, Hebin Zhang, Yacheng Pan et al.
Nature Communications
Immune Cell Function and Interaction
article

The long non-coding RNA UGDH-AS1 encodes an NK-cell-inhibiting micropeptide in triple-negative breast cancers

Wanqiu Li, Binbin Guo, Hebin Zhang, Yacheng Pan, Congnan Jin, Shenghua Zhang, Wei Liu, Zheng Zhang, Xiaoxiao Dai, Yifeng Zhou, Tong Zhao, Yirong Wang, Shuang Wang
article en

Abstract

NK cells are important for the anti-tumour immune response for their potential to kill MHC class I-deficient tumor cells, but they often become dysfunctional in the immune-hostile tumour microenvironment. Here, using single-cell RNA sequencing, we identify an NK cell subpopulation that is specific to triple-negative breast cancers (TNBC) subtype, characterised by the expression of the long non-coding RNA UGDH-AS1. In these NK cells, UGDH-AS1 encodes the micropeptide, NKSM, which renders these NK cells dysfunctional due to the loss of their activation program, which leads to cancer progression. Conditional NKSM knock-in into NK cells of mice results in NK cell deactivation and increased growth of transplanted tumours. Targeted NKSM therapy effectively reduces tumor growth in TNBC mouse models. We find that UGDH-AS1<sup>+</sup> NK cells are shaped by the tumor microenvironment (TME). Following upregulation by the TGF-β signaling pathway, NKSM binds to Myc, inhibiting its ERK1/2-mediated phosphorylation at Serine 62 and thus reducing its stability. Decreased Myc activity results in deregulation of T-bet, a key protein involved in NK cell function, which leads to NK cell deactivation. Our study thus provides mechanistic insight int NK cell dysfunctionality in TNBC and lays down the proof of principle for an NK-cell-targeting TNBC immunotherapy.

Nature CommunicationsVol. 16(1)
Soochow University (CN), Second Affiliated Hospital of Soochow University (CN), Nanjing Medical University (CN)
Openalex Percentile: Top 55%
Immune Cell Function and Interaction
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.