Targeting hepatocytic TβRI ameliorates liver metastatic outcomes by revitalizing stem-like CD8+ Tex subsets
Year: 2025
Type: article
Abstract: Stem-like CD8⁺ exhausted T cells (Tex) sustain antitumor immunity, whereas TGFβ signaling acts as a major immunosuppressive pathway. In patients with colorectal liver metastases, we observe that elevated TβRI expression in peri-metastatic hepatocytes correlates with poor prognosis. We therefore investigate whether disrupting hepatocytic TGFβ signaling can reinvigorate stem-like CD8⁺ Tex cells to restrict liver metastasis. In support of this hypothesis, mice with hepatocyte-specific TβRI depletion exhibit reduced liver metastatic burden across multiple tumor models. Mechanistically, hepatocytic TβRI blockade suppresses Galectin-9 secretion, which reshapes the transcriptional program of intra-tumoral CD8⁺ T cells. This reprogramming promotes a phenotypic transition from terminal exhaustion toward stem-like and effector states, yielding T cell subsets with enhanced metastasis-control capacity. Importantly, this axis functions independently of macrophages and CD4⁺ T cells. Furthermore, therapeutic delivery of Galunisertib using choline-modified lipid nanoparticles synergizes with αPD-1, fostering the conversion of exhausted CD8⁺ T cells into responsive Ly108⁺CX3CR1⁺ subsets and suppressing liver metastases. Collectively, our results identify hepatocyte TGFβ signaling as a targetable checkpoint against liver metastases. How TGF-β regulates liver metastasis remains further investigation. The authors here find that TβRI blockade in hepatocytes decreases liver metastatic progression via revitalizing stem-like CD8⁺ Tex subsets, and an LNP encapsulated with the TβRI inhibitor Galunisertib synergizes with αPD-1 to ameliorate liver metastasis
Source: Nature Communications
Authors: Hao Wang, Yan Zhou, Yuanyu Tu, Junxiong You, Baogui Gao, Kun Yuan, Shihong Zhong, Changjie Huang, Qinrui Han, Yu Dai, Ye Ma, Qingyuan Zhang, Xinyi Yan, Junjiang Wang, Xiaorui Wang, Liang Zhao, Xuegang Sun
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $6,990
Awards: G1085601626, G3943399105, G966288341
OpenAlex ID: W4416758587
