RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Pan-cancer analysis identifies APOC1 as a TAM-derived modulator of adaptive immune resistance and predictor of therapeutic response.
Pan-cancer analysis identifies APOC1 as a TAM-derived modulator of adaptive immune resistance and predictor of therapeutic response.
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这项泛癌分析确立了 APOC1 作为一种情境依赖性生物标志物以及 TAM 来源的适应性免疫抵抗调节因子,在多种恶性肿瘤中具有预后和治疗意义。表达 APOC1 的 TAM 是联合免疫治疗策略的潜在靶点。
载脂蛋白C1(APOC1)已被认为与多种恶性肿瘤相关,但其在不同癌症类型中的表达模式、临床意义及免疫调节作用仍缺乏充分表征。
我们对APOC1在33种癌症类型中进行了全面的多组学分析,整合了来自TCGA、GTEx、CPTAC及多个独立外部队列的转录组学、蛋白质组学、基因组学、表观基因组学和药物基因组学数据。使用七种互补算法评估免疫浸润。采用空间转录组学和单细胞RNA测序确定APOC1表达的细胞来源。
APOC1在大多数癌症中的上调与癌症类型特异性预后相关。在调整临床协变量和巨噬细胞浸润后,高APOC1仍是KIRC、LGG和STAD中的独立不良因素。APOC1表达与基因组不稳定性标志物呈正相关,包括同源重组缺陷和非整倍性,这些关联在很大程度上独立于免疫浸润;相比之下,与肿瘤突变负荷的关联在很大程度上被巨噬细胞丰度所混杂。免疫浸润分析揭示了一种与适应性免疫抵抗一致的模式:APOC1与免疫激活特征(STAT1、MHC-II、TCR信号)以及免疫抑制性M2巨噬细胞和Tregs呈正相关,但与抗肿瘤效应细胞(活化NK细胞、树突状细胞)呈负相关。空间转录组学和单细胞RNA测序确定肿瘤相关巨噬细胞(TAMs)是APOC1的主要细胞来源,其转录本在组织切片中与CD68共定位。APOC1表达与多种免疫检查点分子相关,并在免疫检查点阻断应答者中升高,这与炎症性但受调控的肿瘤微环境一致。药物基因组学分析显示,APOC1高表达肿瘤表现出不同的药物反应特征,以对MAPK通路抑制剂耐药和对HDAC抑制剂Entinostat潜在敏感为特征。
Apolipoprotein C1 (APOC1) has been implicated in several malignancies, yet its expression patterns, clinical significance, and immunomodulatory roles across cancer types remain poorly characterized.
We performed a comprehensive multi-omic analysis of APOC1 across 33 cancer types integrating transcriptomic, proteomic, genomic, epigenomic, and pharmacogenomic data from TCGA, GTEx, CPTAC, and multiple independent external cohorts. Immune infiltration was assessed using seven complementary algorithms. Spatial transcriptomics and single-cell RNA sequencing were employed to determine the cellular source of APOC1 expression.
APOC1 upregulation in most cancers was associated with cancer type-specific prognosis. After adjustment for clinical covariates and macrophage infiltration, high APOC1 remained an independent adverse factor in KIRC, LGG, and STAD. APOC1 expression positively correlated with genomic instability hallmarks, including homologous recombination deficiency and aneuploidy, with these associations largely independent of immune infiltration; in contrast, associations with tumor mutational burden were substantially confounded by macrophage abundance. Immune infiltration analysis revealed a pattern consistent with adaptive immune resistance: APOC1 correlated positively with immune-activating signatures (STAT1, MHC-II, TCR signaling) and immunosuppressive M2 macrophages and Tregs, yet negatively with anti-tumor effectors (activated NK cells, dendritic cells). Spatial transcriptomics and single-cell RNA sequencing identified tumor-associated macrophages (TAMs) as the primary cellular source of APOC1, with transcripts co-localizing with CD68 in tissue sections. APOC1 expression correlated with multiple immune checkpoint molecules and was elevated in responders to immune checkpoint blockade, consistent with an inflamed yet regulated tumor microenvironment. Pharmacogenomic analyses revealed that APOC1-high tumors display distinct drug response profiles, characterized by resistance to MAPK pathway inhibitors and potential sensitivity to the HDAC inhibitor Entinostat.
This pan-cancer analysis establishes APOC1 as a context-dependent biomarker and a TAM-derived modulator of adaptive immune resistance, with prognostic and therapeutic implications across malignancies. APOC1-expressing TAMs represent a potential target for combination immunotherapy strategies.
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