Single-cell and spatial transcriptomic landscapes reveal PIGT as a pivotal regulator of immunometabolic remodeling in colorectal cancer liver metastasis

IF 4 4区 生物学 Q1 GENETICS & HEREDITY
Mengzhu Yan, Yixing Li, Yun Liu, Lilan Peng, Haibo Zhou
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Abstract

Colorectal cancer liver metastasis (CRLM) represents the leading cause of mortality in colorectal cancer (CRC). However, the molecular mechanisms enabling metastatic adaptation within the hepatic microenvironment remain unclear. We integrated single-cell RNA sequencing, spatial transcriptomics, and bulk transcriptomic data from CRC patients to characterize the immunometabolic landscape of CRLM. Machine learning models were used to identify key regulators, and functional assays were conducted to validate their biological roles. Nine major cell populations were delineated within CRLM, revealing enrichment of myeloid-derived suppressor cells and depletion of fibroblasts in metastatic lesions. Malignant cells displayed pronounced chromosomal instability and metabolic reprogramming. Among candidate regulators, PIGT emerged as a pivotal node linking metabolic adaptation and immune suppression. PIGT expression increased progressively from primary to metastatic states and was associated with immunosuppressive MIF, SPP1, and TGFβ signaling. Spatial transcriptomics demonstrated colocalization of PIGT-high tumor cells with ITGAM⁺ and CD163⁺ macrophages. Functionally, PIGT knockdown significantly suppressed cell invasion, migration, proliferation, and wound healing in vitro. Conversely, transcriptomic and qPCR analyses showed that PIGT-low tumors exhibited higher expression of inflammatory genes enriched in the IL-17 and TNF signaling pathways. Our integrative multi-omics and experimental analyses identify PIGT as a central regulator bridging tumor metabolism and immune modulation in CRLM. These findings highlight PIGT as a promising prognostic biomarker and potential therapeutic target for metastatic colorectal cancer.

单细胞和空间转录组研究显示,PIGT在结直肠癌肝转移过程中是免疫代谢重塑的关键调节因子。
结直肠癌肝转移(CRLM)是结直肠癌(CRC)死亡的主要原因。然而,在肝脏微环境中实现转移适应的分子机制尚不清楚。我们整合了来自CRC患者的单细胞RNA测序、空间转录组学和大量转录组学数据,以表征CRLM的免疫代谢景观。使用机器学习模型来识别关键调节因子,并进行功能分析以验证其生物学作用。在CRLM中描述了9个主要的细胞群,揭示了转移性病变中髓源性抑制细胞的富集和成纤维细胞的缺失。恶性细胞表现出明显的染色体不稳定性和代谢重编程。在候选调节因子中,PIGT作为连接代谢适应和免疫抑制的关键节点出现。PIGT表达从原发性到转移性逐渐增加,并与免疫抑制性MIF、SPP1和TGFβ信号传导有关。空间转录组学证实了ITGAM +和CD163 +巨噬细胞可以共定位pigt -高的肿瘤细胞。在功能上,PIGT敲低显著抑制细胞的侵袭、迁移、增殖和体外伤口愈合。相反,转录组学和qPCR分析显示,pigt -低的肿瘤中富含IL-17和TNF信号通路的炎症基因表达更高。我们的综合多组学和实验分析发现,在CRLM中,PIGT是连接肿瘤代谢和免疫调节的中心调节因子。这些发现突出了PIGT作为一种有希望的预后生物标志物和转移性结直肠癌的潜在治疗靶点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.50
自引率
3.40%
发文量
92
审稿时长
2 months
期刊介绍: Functional & Integrative Genomics is devoted to large-scale studies of genomes and their functions, including systems analyses of biological processes. The journal will provide the research community an integrated platform where researchers can share, review and discuss their findings on important biological questions that will ultimately enable us to answer the fundamental question: How do genomes work?
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