首页 > 最新文献

Cancer Communications最新文献

英文 中文
Risk of colorectal cancer and cancer-related mortality in type 2 diabetes patients treated with metformin, SGLT-2 inhibitors, or their combination. 二甲双胍、SGLT-2抑制剂或其联合治疗的2型糖尿病患者结直肠癌和癌症相关死亡率的风险
IF 24.9 1区 医学 Q1 ONCOLOGY Pub Date : 2025-07-01 Epub Date: 2025-04-24 DOI: 10.1002/cac2.70028
Xianhua Mao, Ka-Shing Cheung, Jing-Tong Tan, Lung-Yi Mak, Chi-Ho Lee, Ho Ming Cheng, Rex Wan-Hin Hui, Esther Wai Yin Chan, Philip Leung-Ho Yu, Man-Fung Yuen, Wai K Leung, Wai-Kay Seto
{"title":"Risk of colorectal cancer and cancer-related mortality in type 2 diabetes patients treated with metformin, SGLT-2 inhibitors, or their combination.","authors":"Xianhua Mao, Ka-Shing Cheung, Jing-Tong Tan, Lung-Yi Mak, Chi-Ho Lee, Ho Ming Cheng, Rex Wan-Hin Hui, Esther Wai Yin Chan, Philip Leung-Ho Yu, Man-Fung Yuen, Wai K Leung, Wai-Kay Seto","doi":"10.1002/cac2.70028","DOIUrl":"10.1002/cac2.70028","url":null,"abstract":"","PeriodicalId":9495,"journal":{"name":"Cancer Communications","volume":" ","pages":"880-883"},"PeriodicalIF":24.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12328085/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143977256","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deletion of epithelial HKDC1 decelerates cellular proliferation and impairs mitochondrial function of tumorous epithelial cells thereby protecting from intestinal carcinogenesis. 上皮细胞HKDC1的缺失会减缓细胞增殖,损害肿瘤上皮细胞的线粒体功能,从而防止肠道癌变。
IF 24.9 1区 医学 Q1 ONCOLOGY Pub Date : 2025-07-01 Epub Date: 2025-03-20 DOI: 10.1002/cac2.70022
Lea Järke, Saskia Weber-Stiehl, Kensuke Shima, Karlis Arturs Moors, Jerome Genth, Fenja Amrei Schuran, Lena Best, Markus Tschurtschenthaler, Burkhardt Flemer, Silke Lüschen, Christoph Röcken, Andreas Tholey, Christoph Kaleta, Jan Rupp, Philip Rosenstiel, Felix Sommer
{"title":"Deletion of epithelial HKDC1 decelerates cellular proliferation and impairs mitochondrial function of tumorous epithelial cells thereby protecting from intestinal carcinogenesis.","authors":"Lea Järke, Saskia Weber-Stiehl, Kensuke Shima, Karlis Arturs Moors, Jerome Genth, Fenja Amrei Schuran, Lena Best, Markus Tschurtschenthaler, Burkhardt Flemer, Silke Lüschen, Christoph Röcken, Andreas Tholey, Christoph Kaleta, Jan Rupp, Philip Rosenstiel, Felix Sommer","doi":"10.1002/cac2.70022","DOIUrl":"10.1002/cac2.70022","url":null,"abstract":"","PeriodicalId":9495,"journal":{"name":"Cancer Communications","volume":" ","pages":"722-727"},"PeriodicalIF":24.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12328089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pan-cancer analysis shapes the understanding of cancer biology and medicine. 泛癌症分析塑造了对癌症生物学和医学的理解。
IF 24.9 1区 医学 Q1 ONCOLOGY Pub Date : 2025-07-01 Epub Date: 2025-03-22 DOI: 10.1002/cac2.70008
Xiaoping Cen, Yuanyuan Lan, Jiansheng Zou, Ruilin Chen, Can Hu, Yahan Tong, Chen Zhang, Jingyue Chen, Yuanmei Wang, Run Zhou, Weiwei He, Tianyu Lu, Fred Dubee, Dragomirka Jovic, Wei Dong, Qingqing Gao, Man Ma, Youyong Lu, Yu Xue, Xiangdong Cheng, Yixue Li, Huanming Yang

Advances in multi-omics datasets and analytical methods have revolutionized cancer research, offering a comprehensive, pan-cancer perspective. Pan-cancer studies identify shared mechanisms and unique traits across different cancer types, which are reshaping diagnostic and treatment strategies. However, continued innovation is required to refine these approaches and deepen our understanding of cancer biology and medicine. This review summarized key findings from pan-cancer research and  explored their potential to drive future advancements in oncology.

多组学数据集和分析方法的进步彻底改变了癌症研究,提供了一个全面的、泛癌症的视角。泛癌症研究确定了不同癌症类型的共同机制和独特特征,这正在重塑诊断和治疗策略。然而,需要持续的创新来完善这些方法并加深我们对癌症生物学和医学的理解。本文综述了泛癌症研究的主要发现,并探讨了它们推动肿瘤学未来发展的潜力。
{"title":"Pan-cancer analysis shapes the understanding of cancer biology and medicine.","authors":"Xiaoping Cen, Yuanyuan Lan, Jiansheng Zou, Ruilin Chen, Can Hu, Yahan Tong, Chen Zhang, Jingyue Chen, Yuanmei Wang, Run Zhou, Weiwei He, Tianyu Lu, Fred Dubee, Dragomirka Jovic, Wei Dong, Qingqing Gao, Man Ma, Youyong Lu, Yu Xue, Xiangdong Cheng, Yixue Li, Huanming Yang","doi":"10.1002/cac2.70008","DOIUrl":"10.1002/cac2.70008","url":null,"abstract":"<p><p>Advances in multi-omics datasets and analytical methods have revolutionized cancer research, offering a comprehensive, pan-cancer perspective. Pan-cancer studies identify shared mechanisms and unique traits across different cancer types, which are reshaping diagnostic and treatment strategies. However, continued innovation is required to refine these approaches and deepen our understanding of cancer biology and medicine. This review summarized key findings from pan-cancer research and  explored their potential to drive future advancements in oncology.</p>","PeriodicalId":9495,"journal":{"name":"Cancer Communications","volume":" ","pages":"728-746"},"PeriodicalIF":24.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12328095/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143691342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Phase II study evaluating the safety and efficacy of neratinib and trastuzumab biosimilar in patients with HER2 mutated advanced solid tumors: KCSG AL20-17/KM23 trial. 评估neratinib和曲妥珠单抗生物类似药在HER2突变晚期实体瘤患者中的安全性和有效性的II期研究:KCSG AL20-17/KM23试验。
IF 24.9 1区 医学 Q1 ONCOLOGY Pub Date : 2025-07-01 Epub Date: 2025-04-11 DOI: 10.1002/cac2.70026
Kyoungmin Lee, Kyung-Hun Lee, Dong-Wan Kim, Jeesun Yoon, Yoon Ji Choi, Soohyeon Lee, Ju Won Kim, Kyong Hwa Park, Wonyoung Choi, Youngjoo Lee, Hyewon Ryu, Dong-Hoe Koo, YunGyoo Lee, Hei-Cheul Jeung, Min-Young Lee, Namsu Lee, Myoung Joo Kang, Jieun Lee, Sook Hee Hong, Eun Joo Kang, In Hae Park
{"title":"Phase II study evaluating the safety and efficacy of neratinib and trastuzumab biosimilar in patients with HER2 mutated advanced solid tumors: KCSG AL20-17/KM23 trial.","authors":"Kyoungmin Lee, Kyung-Hun Lee, Dong-Wan Kim, Jeesun Yoon, Yoon Ji Choi, Soohyeon Lee, Ju Won Kim, Kyong Hwa Park, Wonyoung Choi, Youngjoo Lee, Hyewon Ryu, Dong-Hoe Koo, YunGyoo Lee, Hei-Cheul Jeung, Min-Young Lee, Namsu Lee, Myoung Joo Kang, Jieun Lee, Sook Hee Hong, Eun Joo Kang, In Hae Park","doi":"10.1002/cac2.70026","DOIUrl":"10.1002/cac2.70026","url":null,"abstract":"","PeriodicalId":9495,"journal":{"name":"Cancer Communications","volume":" ","pages":"841-845"},"PeriodicalIF":24.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12328084/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143966293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Combating cancer immunotherapy resistance: a nano-medicine perspective. 对抗癌症免疫治疗耐药性:纳米医学的视角。
IF 24.9 1区 医学 Q1 ONCOLOGY Pub Date : 2025-07-01 Epub Date: 2025-04-10 DOI: 10.1002/cac2.70025
Xiangyi Kong, Xintong Xie, Juan Wu, Xiangyu Wang, Wenxiang Zhang, Shuowen Wang, Daria Valerievna Abbasova, Yi Fang, Hongnan Jiang, Jidong Gao, Jing Wang

Cancer immunotherapy offers renewed hope for treating this disease. However, cancer cells possess inherent mechanisms that enable them to circumvent each stage of the immune cycle, thereby evading anti-cancer immunity and leading to resistance. Various functionalized nanoparticles (NPs), modified with cationic lipids, pH-sensitive compounds, or photosensitizers, exhibit unique physicochemical properties that facilitate the targeted delivery of therapeutic agents to cancer cells or the tumor microenvironment (TME). These NPs are engineered to modify immune activity. The crucial signal transduction pathways and mechanisms by which functionalized NPs counteract immunotherapy resistance are outlined, including enhancing antigen presentation, boosting the activation and infiltration of tumor-specific immune cells, inducing immunogenic cell death, and counteracting immunosuppressive conditions in the TME. Additionally, this review summarizes current clinical trials involving NP-based immunotherapy. Ultimately, it highlights the potential of nanotechnology to advance cancer immunotherapy.

癌症免疫疗法为治疗这种疾病带来了新的希望。然而,癌细胞具有固有的机制,使它们能够绕过免疫周期的每个阶段,从而逃避抗癌免疫并导致耐药性。各种功能化纳米粒子(NPs),用阳离子脂质、ph敏感化合物或光敏剂修饰,表现出独特的物理化学性质,促进治疗剂靶向递送到癌细胞或肿瘤微环境(TME)。这些NPs被设计用来改变免疫活性。本文概述了功能化NPs对抗免疫治疗耐药性的关键信号转导途径和机制,包括增强抗原呈递,促进肿瘤特异性免疫细胞的激活和浸润,诱导免疫原性细胞死亡,以及对抗TME中的免疫抑制条件。此外,本综述总结了目前涉及np免疫治疗的临床试验。最后,它强调了纳米技术在推进癌症免疫治疗方面的潜力。
{"title":"Combating cancer immunotherapy resistance: a nano-medicine perspective.","authors":"Xiangyi Kong, Xintong Xie, Juan Wu, Xiangyu Wang, Wenxiang Zhang, Shuowen Wang, Daria Valerievna Abbasova, Yi Fang, Hongnan Jiang, Jidong Gao, Jing Wang","doi":"10.1002/cac2.70025","DOIUrl":"10.1002/cac2.70025","url":null,"abstract":"<p><p>Cancer immunotherapy offers renewed hope for treating this disease. However, cancer cells possess inherent mechanisms that enable them to circumvent each stage of the immune cycle, thereby evading anti-cancer immunity and leading to resistance. Various functionalized nanoparticles (NPs), modified with cationic lipids, pH-sensitive compounds, or photosensitizers, exhibit unique physicochemical properties that facilitate the targeted delivery of therapeutic agents to cancer cells or the tumor microenvironment (TME). These NPs are engineered to modify immune activity. The crucial signal transduction pathways and mechanisms by which functionalized NPs counteract immunotherapy resistance are outlined, including enhancing antigen presentation, boosting the activation and infiltration of tumor-specific immune cells, inducing immunogenic cell death, and counteracting immunosuppressive conditions in the TME. Additionally, this review summarizes current clinical trials involving NP-based immunotherapy. Ultimately, it highlights the potential of nanotechnology to advance cancer immunotherapy.</p>","PeriodicalId":9495,"journal":{"name":"Cancer Communications","volume":" ","pages":"813-840"},"PeriodicalIF":24.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12328096/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143954873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Immunosuppressive JAG2+ tumor-associated neutrophils hamper PD-1 blockade response in ovarian cancer by mediating the differentiation of effector regulatory T cells. 免疫抑制性JAG2+肿瘤相关中性粒细胞通过介导效应调节性T细胞的分化,阻碍卵巢癌中PD-1阻断反应。
IF 24.9 1区 医学 Q1 ONCOLOGY Pub Date : 2025-07-01 Epub Date: 2025-03-22 DOI: 10.1002/cac2.70021
Chenyang Wang, Moran Yang, Yujing Zhong, Kankan Cao, Xueling Wang, Chen Zhang, Yiying Wang, Mengdi He, Jiaqi Lu, Guodong Zhang, Yan Huang, Haiou Liu

Background: Tumor-associated neutrophils (TANs) play a critical role in modulating immune responses and exhibit significant heterogeneity. Our previous study demonstrated that jagged canonical Notch ligand 2 (JAG2)+ TANs were associated with an immunosuppressive microenvironment in high-grade serous ovarian cancer (HGSOC), but the underlying mechanism remains unclear. This study aimed to elucidate the role of JAG2+ TANs in tumor immunosuppressive microenvironment in HGSOC.

Methods: HGSOC samples were collected, with 274 samples constituting two independent cohorts (training and validation cohorts) and an additional 30 samples utilized to establish patient-derived tumor organoids (PDTOs). We characterized the number and phenotype of JAG2+ TANs by multiplex immunohistochemistry, flow cytometry, and single-cell RNA sequencing (scRNA-seq). We investigated the biological functions of JAG2 in immune evasion using in vitro co-culture systems, flow cytometry, tumor-bearing mouse models, and PDTOs.

Results: JAG2+ TANs expressed elevated levels of immunosuppressive molecules, including programmed cell death ligand 1 and CD14, and had independent prognostic value for the overall survival of patients with HGSOC. scRNA-seq analysis revealed that JAG2+ TANs exhibited a terminally mature phenotype. The infiltration of JAG2+ TANs was positively correlated with the abundance of effector regulatory T cells (eTregs). Interaction with JAG2+ TANs skewed CD4+ T cells towards an eTreg phenotype, a process that was suppressed by the Notch inhibitor LY3039478 and induced by recombinant Jagged2. Furthermore, we demonstrated that JAG2+ TANs enhanced Notch signaling activation, ultimately promoting recombination signal binding protein for immunoglobulin kappa J region (RBPJ)-induced differentiation of naïve CD4+ T cells into eTregs. Clinically, JAG2+ TANs could serve as a biomarker for assessing immunotherapy resistance in various solid tumors. Pharmacological targeting of Notch signaling with LY3039478 or JAG2 neutralization antibodies enhanced the efficacy of programmed cell death protein 1 (PD-1) monoclonal antibodies (mAbs) in both xenograft and PDTO models.

Conclusions: The emergence of JAG2+ TANs is crucial for the differentiation of eTregs, which triggers immune evasion and resistance to anti-PD-1 therapy. Inhibiting Notch signaling with LY3039478 or JAG2 neutralization antibodies may overcome this anti-PD-1 resistance in HGSOC.

背景:肿瘤相关中性粒细胞(TANs)在调节免疫反应中起关键作用,并表现出显著的异质性。我们之前的研究表明,锯齿状Notch配体2 (JAG2)+ TANs与高级别浆液性卵巢癌(HGSOC)的免疫抑制微环境有关,但其潜在机制尚不清楚。本研究旨在阐明JAG2+ TANs在HGSOC肿瘤免疫抑制微环境中的作用。方法:收集HGSOC样本,274份样本组成两个独立的队列(训练和验证队列),另外30份样本用于建立患者源性肿瘤类器官(PDTOs)。我们通过多重免疫组织化学、流式细胞术和单细胞RNA测序(scRNA-seq)表征了JAG2+ TANs的数量和表型。我们利用体外共培养系统、流式细胞术、荷瘤小鼠模型和pdto研究了JAG2在免疫逃避中的生物学功能。结果:JAG2+ TANs表达高水平的免疫抑制分子,包括程序性细胞死亡配体1和CD14,对HGSOC患者的总体生存具有独立的预后价值。scRNA-seq分析显示,JAG2+ TANs具有终末成熟表型。JAG2+ TANs的浸润与效应调节性T细胞(eTregs)的丰度呈正相关。与JAG2+ TANs的相互作用使CD4+ T细胞向eTreg表型倾斜,这一过程被Notch抑制剂LY3039478抑制,并被重组Jagged2诱导。此外,我们证明JAG2+ TANs增强Notch信号激活,最终促进免疫球蛋白kappa J区(RBPJ)诱导naïve CD4+ T细胞分化为eTregs的重组信号结合蛋白。在临床上,JAG2+ TANs可作为评估多种实体肿瘤免疫治疗耐药性的生物标志物。用LY3039478或JAG2中和抗体靶向Notch信号通路增强了程序性细胞死亡蛋白1 (PD-1)单克隆抗体(mab)在异种移植物和PDTO模型中的疗效。结论:JAG2+ TANs的出现对eTregs的分化至关重要,从而引发免疫逃避和对抗pd -1治疗的抵抗。用LY3039478或JAG2中和抗体抑制Notch信号可以克服HGSOC的抗pd -1抗性。
{"title":"Immunosuppressive JAG2<sup>+</sup> tumor-associated neutrophils hamper PD-1 blockade response in ovarian cancer by mediating the differentiation of effector regulatory T cells.","authors":"Chenyang Wang, Moran Yang, Yujing Zhong, Kankan Cao, Xueling Wang, Chen Zhang, Yiying Wang, Mengdi He, Jiaqi Lu, Guodong Zhang, Yan Huang, Haiou Liu","doi":"10.1002/cac2.70021","DOIUrl":"10.1002/cac2.70021","url":null,"abstract":"<p><strong>Background: </strong>Tumor-associated neutrophils (TANs) play a critical role in modulating immune responses and exhibit significant heterogeneity. Our previous study demonstrated that jagged canonical Notch ligand 2 (JAG2)<sup>+</sup> TANs were associated with an immunosuppressive microenvironment in high-grade serous ovarian cancer (HGSOC), but the underlying mechanism remains unclear. This study aimed to elucidate the role of JAG2<sup>+</sup> TANs in tumor immunosuppressive microenvironment in HGSOC.</p><p><strong>Methods: </strong>HGSOC samples were collected, with 274 samples constituting two independent cohorts (training and validation cohorts) and an additional 30 samples utilized to establish patient-derived tumor organoids (PDTOs). We characterized the number and phenotype of JAG2<sup>+</sup> TANs by multiplex immunohistochemistry, flow cytometry, and single-cell RNA sequencing (scRNA-seq). We investigated the biological functions of JAG2 in immune evasion using in vitro co-culture systems, flow cytometry, tumor-bearing mouse models, and PDTOs.</p><p><strong>Results: </strong>JAG2<sup>+</sup> TANs expressed elevated levels of immunosuppressive molecules, including programmed cell death ligand 1 and CD14, and had independent prognostic value for the overall survival of patients with HGSOC. scRNA-seq analysis revealed that JAG2<sup>+</sup> TANs exhibited a terminally mature phenotype. The infiltration of JAG2<sup>+</sup> TANs was positively correlated with the abundance of effector regulatory T cells (eTregs). Interaction with JAG2<sup>+</sup> TANs skewed CD4<sup>+</sup> T cells towards an eTreg phenotype, a process that was suppressed by the Notch inhibitor LY3039478 and induced by recombinant Jagged2. Furthermore, we demonstrated that JAG2<sup>+</sup> TANs enhanced Notch signaling activation, ultimately promoting recombination signal binding protein for immunoglobulin kappa J region (RBPJ)-induced differentiation of naïve CD4<sup>+</sup> T cells into eTregs. Clinically, JAG2<sup>+</sup> TANs could serve as a biomarker for assessing immunotherapy resistance in various solid tumors. Pharmacological targeting of Notch signaling with LY3039478 or JAG2 neutralization antibodies enhanced the efficacy of programmed cell death protein 1 (PD-1) monoclonal antibodies (mAbs) in both xenograft and PDTO models.</p><p><strong>Conclusions: </strong>The emergence of JAG2<sup>+</sup> TANs is crucial for the differentiation of eTregs, which triggers immune evasion and resistance to anti-PD-1 therapy. Inhibiting Notch signaling with LY3039478 or JAG2 neutralization antibodies may overcome this anti-PD-1 resistance in HGSOC.</p>","PeriodicalId":9495,"journal":{"name":"Cancer Communications","volume":" ","pages":"747-773"},"PeriodicalIF":24.9,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12328091/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143691341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Comparative single-cell analysis of esophageal cancer subtypes reveals tumor microenvironment distinctions explaining varied immunotherapy responses 食管癌亚型的单细胞比较分析揭示了肿瘤微环境的差异,解释了不同的免疫治疗反应。
IF 24.9 1区 医学 Q1 ONCOLOGY Pub Date : 2025-06-28 DOI: 10.1002/cac2.70046
Seungbyn Baek, Junha Cha, Min Hee Hong, Gamin Kim, Yoon Woo Koh, Dahee Kim, Wonrak Son, Chan-Young Ock, Seungeun Lee, Martin Hemberg, Seong Yong Park, Hye Ryun Kim, Insuk Lee
<p>Esophageal cancer comprises 2 anatomically shared but histologically different subtypes: esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC). Previous bulk-level genomic and clinical studies have shown that ESCC shares molecular features with head and neck squamous cell carcinoma (HNSCC) [<span>1</span>] and is generally more responsive to immune checkpoint blockade (ICB) therapies than EAC [<span>2</span>], which is similar to gastric adenocarcinoma (GAC) [<span>1</span>]. Recent clinical trials have further demonstrated clinical benefits from various ICB therapies, including combination approaches, for ESCC [<span>3</span>].</p><p>To further expand the comparison at single-cell resolution of tumor microenvironment (TME), we conducted single-cell transcriptomic analysis on tumors from 35 patients representing 4 cancer types located near the esophagus: ESCC, EAC, HNSCC, and GAC (Supplementary Materials and Methods). By integrating newly generated single-cell datasets with published datasets (Supplementary Table S1) [<span>4, 5</span>], we analyzed more than 200,000 cells within TME (Supplementary Figure S1, Supplementary Figure S2A-C, Supplementary Table S2). This high-resolution approach allowed the dissection of cellular heterogeneity of malignant cells and various immune components within the TME (Figure 1A).</p><p>Differentially expressed gene (DEG) analysis of malignant cells revealed a clear separation based on epithelial cell origin (Supplementary Figure S2D). For detailed cancer cell states, we generated 14 malignant metaprograms (MPs) using non-negative matrix factorization (Supplementary Table S3). Histology-specific MPs, representing squamous or glandular differentiation, dominated the expression landscape, while additional MPs distinguished tumor types based on cell cycle dynamics, endocrine-like features, and activation of Aldo-keto reductase family 1 (AKR1) family genes, thereby providing insights into diverse and shared oncogenic processes (Figure 1B). Furthermore, we generated MPs from immune and stromal compartments and calculated correlations among them (Supplementary Figure S2E, Supplementary Table S3). We identified clusters of coordinated MPs, including an “immune activating” cluster characterized by interferon signaling and activation of adaptive immunity, predominantly enriched in HNSCC and ESCC. In contrast, heat-shock protein (HSP) MP, negatively correlated with the immune activating cluster, was more common in EAC and GAC, suggesting potentially immunosuppressive TMEs.</p><p>To better understand the immune compartments of the TME, we conducted in-depth analyses of each major immune cell type using subclustering approaches. We first focused on CD8<sup>+</sup> T cells for their roles in anti-tumor immunity. We identified several key subtypes including naive/memory, effector, stress-response (HSP high), and exhausted populations (Supplementary Figure S3A-B, Supplementary Table S4). For exhausted
食管癌包括两种解剖学上相同但组织学上不同的亚型:食管鳞状细胞癌(ESCC)和食管腺癌(EAC)。先前的大量基因组和临床研究表明,ESCC与头颈部鳞状细胞癌(HNSCC)[1]具有相同的分子特征,并且通常对免疫检查点阻断(ICB)治疗的反应比EAC[2]更灵敏,这与胃腺癌(GAC)[1]相似。最近的临床试验进一步证明了各种ICB疗法(包括联合疗法)对ESCC bb0的临床益处。为了进一步扩大肿瘤微环境(TME)单细胞分辨率的比较,我们对食管附近ESCC、EAC、HNSCC和GAC 4种癌症类型的35例患者的肿瘤进行了单细胞转录组学分析(Supplementary Materials and Methods)。通过整合新生成的单细胞数据集和已发布的数据集(补充表S1)[4,5],我们分析了TME内超过20万个细胞(补充图S1,补充图S2A-C,补充表S2)。这种高分辨率的方法可以解剖恶性细胞的细胞异质性和TME内的各种免疫成分(图1A)。恶性细胞的差异表达基因(DEG)分析显示基于上皮细胞来源的明显分离(补充图S2D)。对于详细的癌细胞状态,我们使用非负矩阵分解生成了14个恶性元程序(MPs)(补充表S3)。组织学特异性MPs,代表鳞状或腺体分化,在表达图谱中占主导地位,而其他MPs根据细胞周期动力学、内分泌样特征和Aldo-keto还原酶家族1 (AKR1)家族基因的激活来区分肿瘤类型,从而提供了对多种共享的致癌过程的见解(图1B)。此外,我们从免疫室和间质室生成MPs,并计算它们之间的相关性(补充图S2E,补充表S3)。我们确定了协同MPs簇,包括一个以干扰素信号和适应性免疫激活为特征的“免疫激活”簇,主要富集于HNSCC和ESCC。相比之下,热休克蛋白(HSP) MP与免疫激活簇呈负相关,在EAC和GAC中更为常见,表明TMEs可能具有免疫抑制作用。为了更好地了解TME的免疫区室,我们使用亚聚类方法对每种主要免疫细胞类型进行了深入分析。我们首先关注CD8+ T细胞在抗肿瘤免疫中的作用。我们确定了几个关键亚型,包括幼稚/记忆、效应、应激反应(HSP高)和疲惫人群(补充图S3A-B,补充表S4)。对于衰竭人群,我们评估了每种肿瘤类型是否表现出不同程度的衰竭和肿瘤反应性。事实上,HNSCC和ESCC都表现出更高的肿瘤反应性和衰竭(图1C,补充表S5)。与EAC相比,ESCC的肿瘤浸润T细胞水平更高,通过人工智能(AI)指导的苏木精和伊红(H&amp;E)切片分析得到验证(图1D,补充图S3C-D,补充表S6)。鉴定出的另一个关键亚群是高HSP表达的T细胞群,最近被鉴定为应激反应性群体,并且是ICB反应的不良指标[6]。轨迹分析确定了这些种群中不同的衰竭和热sp轨迹(图1E-F,补充图S3E-F)。对于衰竭轨迹,HNSCC和ESCC在晚期有越来越多的人群,而EAC和GAC则相反(图1G),这表明腺癌的肿瘤反应性群体激活不足。为了确定导致CD8+ T细胞群差异的关键基因,我们进行了DEG分析,比较了高和低衰竭和新抗原反应评分的细胞(补充图S3G,补充表S7)。在最高的deg中,我们证实C-X-C Motif趋化因子配体13 (CXCL13)在效应和耗尽的T细胞群中高度富集,与所有其他样品相比,GAC样品中表达CXCL13的细胞百分比非常低(补充图S3H)。此外,与其他非效应CD8+ T细胞相比,缺乏CXCL13表达的效应CD8+ T细胞和耗竭的CD8+ T细胞在耗竭和新抗原反应性方面都表现出较低的特征评分(Supplementary Figure s311)。通路分析显示,CXCL13+ CD8+ T细胞通过干扰素-γ信号、CD28家族共刺激和抗原加工途径与T细胞浸润和活化增加相关(图1H)。 这些对比的TMEs不仅为免疫治疗不同疗效的机制基础提供了见解,而且还表明,调整治疗策略以调节特定免疫亚群或根据免疫亚群对患者进行分层可以提高临床结果。该研究为开发预测性生物标志物和考虑与不同肿瘤组织学相关的独特免疫景观的靶向干预奠定了基础。然而,由于样本量和功能验证有限,未来的研究需要更大的队列和额外的实验验证来进一步验证这些结果并减少可能的混杂因素。此外,未来的研究应探索影响TME的其他因素,如基因突变或环境条件,以进一步了解肿瘤-免疫相互作用。Seong Yong Park, Hye Ryun Kim和Insuk Lee构思了这项研究。Seungbyn Baek在Insuk Lee的指导下进行了单细胞转录组数据分析。Junha Cha协助生物信息学分析。Park Seong Yong和Hye Ryun Kim组织了临床样本和数据收集。Min Hee Hong, Yoon Woo Koh和Dahee Kim为临床样本收集做出了贡献。Gamin Kim贡献了样品制备。Wonrak Son、Chan-Young Ock和Seungeun Lee对H&amp;E玻片进行了人工智能引导分析。Martin Hemberg就单细胞数据分析提供了建议。Insuk Lee和Hye Ryun Kim为这项研究提供了财政和行政支持。白承彬、朴成勇、金惠润、李仁淑等人撰写了手稿。作者声明他们没有利益冲突。本研究得到了由科学和信息通信技术部资助的国家研究基金生物和医疗技术发展计划(RS-2021-NR059674, RS-2022-CC125144, 2022M3A9F3016364, 2022R1A2C1092062和RS-2025-00553825), Brain Korea 21 (BK21) FOUR计划,技术创新计划(20022947,由韩国贸易工业和能源部资助),Yonsei Fellow计划由Youn Jae Lee资助。本研究已获得延世大学Severance医院机构审查委员会批准,IRB号4-2016-0678。在延世大学Severance医院登记和采集样本前获得书面知情同意。这项研究符合《赫尔辛基宣言》的原则。
{"title":"Comparative single-cell analysis of esophageal cancer subtypes reveals tumor microenvironment distinctions explaining varied immunotherapy responses","authors":"Seungbyn Baek,&nbsp;Junha Cha,&nbsp;Min Hee Hong,&nbsp;Gamin Kim,&nbsp;Yoon Woo Koh,&nbsp;Dahee Kim,&nbsp;Wonrak Son,&nbsp;Chan-Young Ock,&nbsp;Seungeun Lee,&nbsp;Martin Hemberg,&nbsp;Seong Yong Park,&nbsp;Hye Ryun Kim,&nbsp;Insuk Lee","doi":"10.1002/cac2.70046","DOIUrl":"10.1002/cac2.70046","url":null,"abstract":"&lt;p&gt;Esophageal cancer comprises 2 anatomically shared but histologically different subtypes: esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC). Previous bulk-level genomic and clinical studies have shown that ESCC shares molecular features with head and neck squamous cell carcinoma (HNSCC) [&lt;span&gt;1&lt;/span&gt;] and is generally more responsive to immune checkpoint blockade (ICB) therapies than EAC [&lt;span&gt;2&lt;/span&gt;], which is similar to gastric adenocarcinoma (GAC) [&lt;span&gt;1&lt;/span&gt;]. Recent clinical trials have further demonstrated clinical benefits from various ICB therapies, including combination approaches, for ESCC [&lt;span&gt;3&lt;/span&gt;].&lt;/p&gt;&lt;p&gt;To further expand the comparison at single-cell resolution of tumor microenvironment (TME), we conducted single-cell transcriptomic analysis on tumors from 35 patients representing 4 cancer types located near the esophagus: ESCC, EAC, HNSCC, and GAC (Supplementary Materials and Methods). By integrating newly generated single-cell datasets with published datasets (Supplementary Table S1) [&lt;span&gt;4, 5&lt;/span&gt;], we analyzed more than 200,000 cells within TME (Supplementary Figure S1, Supplementary Figure S2A-C, Supplementary Table S2). This high-resolution approach allowed the dissection of cellular heterogeneity of malignant cells and various immune components within the TME (Figure 1A).&lt;/p&gt;&lt;p&gt;Differentially expressed gene (DEG) analysis of malignant cells revealed a clear separation based on epithelial cell origin (Supplementary Figure S2D). For detailed cancer cell states, we generated 14 malignant metaprograms (MPs) using non-negative matrix factorization (Supplementary Table S3). Histology-specific MPs, representing squamous or glandular differentiation, dominated the expression landscape, while additional MPs distinguished tumor types based on cell cycle dynamics, endocrine-like features, and activation of Aldo-keto reductase family 1 (AKR1) family genes, thereby providing insights into diverse and shared oncogenic processes (Figure 1B). Furthermore, we generated MPs from immune and stromal compartments and calculated correlations among them (Supplementary Figure S2E, Supplementary Table S3). We identified clusters of coordinated MPs, including an “immune activating” cluster characterized by interferon signaling and activation of adaptive immunity, predominantly enriched in HNSCC and ESCC. In contrast, heat-shock protein (HSP) MP, negatively correlated with the immune activating cluster, was more common in EAC and GAC, suggesting potentially immunosuppressive TMEs.&lt;/p&gt;&lt;p&gt;To better understand the immune compartments of the TME, we conducted in-depth analyses of each major immune cell type using subclustering approaches. We first focused on CD8&lt;sup&gt;+&lt;/sup&gt; T cells for their roles in anti-tumor immunity. We identified several key subtypes including naive/memory, effector, stress-response (HSP high), and exhausted populations (Supplementary Figure S3A-B, Supplementary Table S4). For exhausted","PeriodicalId":9495,"journal":{"name":"Cancer Communications","volume":"45 9","pages":"1194-1199"},"PeriodicalIF":24.9,"publicationDate":"2025-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cac2.70046","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144526455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma 一种基于血清外泌体微rna的人工智能诊断模型,用于高精度检测肝细胞癌。
IF 24.9 1区 医学 Q1 ONCOLOGY Pub Date : 2025-06-26 DOI: 10.1002/cac2.70043
Jin-Seong Hwang, Sugi Lee, Gyeonghwa Kim, Hoibin Jeong, Kiyoon Kwon, Eunsun Jung, Yuna Roh, Taesang Son, Hana Lee, Moo-Seung Lee, Kyoung-Jin Oh, Hye Won Lee, Yu Rim Lee, Soo Young Park, Won Young Tak, Hyun Seung Ban, Hyun-Soo Cho, Mi-Young Son, Jang-Seong Kim, Keun Hur, Dae-Soo Kim, Tae-Su Han
<p>Hepatocellular carcinoma (HCC) is a critical cancer worldwide due to its low survival rate [<span>1</span>]. In the United States, the overall 5-year survival rate of patients with HCC is 22%, which decreases sharply with cancer progression [<span>2</span>]. Early detection of HCC improves patient survival. Serum alpha-fetoprotein (AFP) is a widely used biomarker for the diagnosis of HCC, but it is often elevated in patients with cirrhosis, resulting in false-positive results [<span>3</span>]. Diagnostic markers for early detection of HCC have been investigated previously [<span>4</span>], but none are widely applied in clinical settings. HCC pathogenesis is closely associated with hepatitis B and C virus (HBV and HCV) infections, which induce chronic inflammation, leading to cirrhosis and elevating the risk of malignant transformation [<span>5</span>]. Environmental and lifestyle factors, such as diet and alcohol consumption, drive the progression from steatosis to fibrosis, cirrhosis, and eventually HCC [<span>6</span>]. Due to HCC's multifactorial etiology and prolonged progression, identifying early diagnostic biomarkers remains a challenge [<span>7</span>]. Thus, integrating analyses of both pre-HCC and cancerous samples is essential for developing robust early detection strategies. This study aimed to: (1) establish stepwise animal models for HCC-related conditions including non-alcoholic steatohepatitis (NASH) and fibrosis [<span>8</span>]; (2) identify exosomal microRNA (exo-miRNA) signatures for early HCC diagnosis; and (3) develop and validate an artificial intelligence (AI)-based multi-marker model combining exo-miRNAs and AFP levels for accurate HCC diagnosis using clinical samples (Supplementary Figure S1, Supplementary Materials and Methods).</p><p>Initially, stepwise mouse models of liver diseases were developed (Figure 1A-C, Supplementary Figure S2A-B). Highly similar gene expression patterns between mouse and human liver diseases were discovered using transcriptome analysis of liver tissues and comparison with public databases (Supplementary Figure S2C). The serum exosomes were then isolated and characterized (Figure 1D, Supplementary Figure S2D), followed by exo-miRNA profiling using Nanostring analysis. This profiling was conducted on mouse models of liver diseases and human samples, which included healthy individuals (<i>n</i> = 7), patients with cirrhosis (<i>n</i> = 6), and patients with HCC (<i>n</i> = 18) (profiling set; Supplementary Table S1).</p><p>The selection criteria for exo-miRNAs included the upregulation of exo-miRNAs in serum exosomes from mice or humans with liver diseases compared with levels in exosomes from normal mice or healthy controls. Four exo-miRNAs were upregulated in samples from mice or humans with HCC compared with those from normal mice or healthy controls. Subsequently, additional criteria were applied to distinguish between cirrhosis and HCC using the mouse model, resulting in 4 additional ex
肝细胞癌(HCC)因其低生存率而成为世界范围内的一种危重癌症。在美国,HCC患者的总体5年生存率为22%,随着癌症进展,这一生存率急剧下降。早期发现HCC可提高患者生存率。血清甲胎蛋白(AFP)是一种广泛用于HCC诊断的生物标志物,但它在肝硬化患者中经常升高,导致假阳性结果[3]。早期发现HCC的诊断标志物已经被研究过,但没有一个在临床环境中广泛应用。HCC的发病机制与乙型和丙型肝炎病毒(HBV和HCV)感染密切相关,乙型和丙型肝炎病毒感染可诱发慢性炎症,导致肝硬化并增加恶性转化[5]的风险。环境和生活方式因素,如饮食和饮酒,会导致脂肪变性发展为纤维化、肝硬化,并最终导致肝细胞癌。由于HCC的多因素病因和长期进展,确定早期诊断的生物标志物仍然是一个挑战。因此,整合hcc前和癌样的分析对于制定强有力的早期检测策略至关重要。本研究旨在:(1)逐步建立hcc相关疾病的动物模型,包括非酒精性脂肪性肝炎(NASH)和纤维化[8];(2)鉴别早期HCC诊断的外泌体microRNA (exo-miRNA)特征;(3)开发并验证一种基于人工智能(AI)的多标记模型,结合exo- mirna和AFP水平,用于临床样本的HCC准确诊断(补充图S1,补充材料和方法)。首先,逐步建立小鼠肝脏疾病模型(图1A-C,补充图S2A-B)。通过肝脏组织转录组分析和与公共数据库的比较,发现小鼠和人类肝脏疾病之间高度相似的基因表达模式(补充图S2C)。然后分离血清外泌体并进行表征(图1D,补充图S2D),然后使用纳米链分析进行外显子mirna分析。对肝脏疾病小鼠模型和人类样本进行分析,包括健康个体(n = 7)、肝硬化患者(n = 6)和HCC患者(n = 18)(分析集;补充表S1)。外显mirna的选择标准包括与正常小鼠或健康对照组的外泌体相比,患有肝脏疾病的小鼠或人类血清外泌体中的外显mirna水平上调。与正常小鼠或健康对照相比,来自HCC小鼠或人类的样本中有四种外显mirna上调。随后,使用小鼠模型应用其他标准来区分肝硬化和HCC,产生4个额外的外显子mirna。最终鉴定出8个外展mirna: miR-22-3p、miR-30a-5p、miR-30e-5p、miR-122-5p、miR-192-5p、miR-432-5p、miR-483-5p和miR-574-5p(图1E,补充图S3)。公开数据分析证实,与健康对照组相比,HCC患者血清外泌体中这8种外显mirna显著上调(补充图S4)。为了验证8个exo- mirna在人血清中的表达,我们对一个训练集(n = 195)进行了定量PCR (qPCR),其中包括健康对照组和肝硬化和HCC患者(训练集;补充表S2)。5种exo- mirna (miR-22-3p、miR-122-5p、miR-192-5p、miR-483-5p和miR-574-5p)在HCC患者中与对照组相比显著上调,其中exo-miR122-5p曲线下面积最大(AUC; 0.95)。与肝硬化患者相比,HCC患者的所有exo- mirna均显著升高,AUC值为0.72-0.88 (Supplementary Figure S5A, Figure 1F)。一项新队列验证(n = 175;补充表S3)证实,与健康对照组相比,HCC患者中所有外显mirna均显著上调,其中miR-122-5p的AUC最高(0.99)。与肝炎和肝硬化患者相比,HCC患者中有5种外显mirna显著升高(补充图S5B-C,图1G)。尽管单个外显子mirna显示出强大的诊断潜力,但将它们结合到多标记方法中对于解决队列变异性和提高HCC诊断准确性至关重要(图1H)。为了开发一种强大的HCC诊断方法,基于人工智能的深度学习用于构建包含外显子mirna和AFP水平的多标记模型(图1I)。在建立模型之前,对qPCR数据进行批量效应校正以确保一致性(Supplementary图S6)。该模型是使用包括健康对照、肝硬化、HCC、胃癌和结直肠癌患者样本的训练集开发的(补充表S2)。 根据AFP水平、有或没有AFP水平的4个exo-miRNA (miRNA set 1: miR-22-3p、miR-30a-5p、miR-122-5p和miR-192-5p)、有或没有AFP水平的4个小鼠特异性exo-miRNA (miRNA set 2: miR-30e-5p、miR-432-5p、miR-483-5p和mir - 571 -5p)以及有或没有AFP水平的8个exo-miRNA (miRNA set 3:结合miRNA set 1和set 2)组成诊断组。人工智能模型将样本分为三类:对照组、肝硬化和HCC。受试者工作特征(ROC)曲线分析显示,单独使用AFP可有效区分肝癌与胃癌和结直肠癌(AUC &gt; 0.96);AFP与miRNA集合1或集合3联合使用可改善性能(AUC = 1.00)(补充图S7)。为了区分健康对照和HCC患者,AFP单独获得了中等的诊断效果(训练集,AUC = 0.94;验证集,AUC = 0.90),而miRNA集1或集3联合AFP显著提高了准确性(训练集,AUC &gt; 0.97;验证集,AUC &gt; 0.95)(图1J,补充图S8A,补充表S4)。miRNA集合3联合AFP对早期HCC的诊断能力更强(AUC &gt; 0.94),在训练集和验证集均超过AFP单独(AUC &gt; 0.89)(图1K,补充图S8B,补充表S5)。以肝炎或NASH为对照,miRNA集合3的AUC分别为0.96和0.94,高于miRNA集合1 (AUC分别为0.73和0.69)(补充图S8C)。在区分肝硬化和HCC时,AFP单独和联合miRNA组1的效果较差(验证组,AUC分别为0.57和0.49)。然而,带有AFP的miRNA集合3获得了较高的性能(训练集,AUC = 1.00;验证集,AUC = 0.90)(图1L,补充图S8D,补充表S6)。结合AFP的miRNA集合3在早期HCC的检测和与肝硬化的区分方面始终优于单独使用AFP,突出了其作为HCC有效诊断工具的潜力(图1M,补充图S8E,补充表S7)。为了减轻过拟合,将合成少数过采样技术(SMOTE)应用于AFP模型的miRNA集3。为了将HCC与对照组区分开来,AUC值分别为0.97(训练)和0.96(验证);对于肝硬化和HCC, AUC值分别为0.97(训练)和0.93(验证)。这些结果与原始数据集的结果相匹配,证明了模型的鲁棒性(图1N,补充表S8)。使用包括下一代测序和AFP水平(GSE83977)在内的公开数据,将miRNA集3与先前报道的2个小组[9,10]进行比较。当结合AFP水平时,我们的miRNA组3与3 miRNA组(Raw的AUC = 0.83, SMOTE的AUC = 0.82)和8 miRNA组(Raw的AUC = 0.87, SMOTE的AUC = 0.77)相比,获得了更高的诊断准确性(Raw数据的AUC = 1.00, SMOTE的AUC = 0.97)。基于人工智能的多标记模型将8个外显子mirna与AFP
{"title":"A serum exosomal microRNA-based artificial intelligence diagnostic model for highly accurate detection of hepatocellular carcinoma","authors":"Jin-Seong Hwang,&nbsp;Sugi Lee,&nbsp;Gyeonghwa Kim,&nbsp;Hoibin Jeong,&nbsp;Kiyoon Kwon,&nbsp;Eunsun Jung,&nbsp;Yuna Roh,&nbsp;Taesang Son,&nbsp;Hana Lee,&nbsp;Moo-Seung Lee,&nbsp;Kyoung-Jin Oh,&nbsp;Hye Won Lee,&nbsp;Yu Rim Lee,&nbsp;Soo Young Park,&nbsp;Won Young Tak,&nbsp;Hyun Seung Ban,&nbsp;Hyun-Soo Cho,&nbsp;Mi-Young Son,&nbsp;Jang-Seong Kim,&nbsp;Keun Hur,&nbsp;Dae-Soo Kim,&nbsp;Tae-Su Han","doi":"10.1002/cac2.70043","DOIUrl":"10.1002/cac2.70043","url":null,"abstract":"&lt;p&gt;Hepatocellular carcinoma (HCC) is a critical cancer worldwide due to its low survival rate [&lt;span&gt;1&lt;/span&gt;]. In the United States, the overall 5-year survival rate of patients with HCC is 22%, which decreases sharply with cancer progression [&lt;span&gt;2&lt;/span&gt;]. Early detection of HCC improves patient survival. Serum alpha-fetoprotein (AFP) is a widely used biomarker for the diagnosis of HCC, but it is often elevated in patients with cirrhosis, resulting in false-positive results [&lt;span&gt;3&lt;/span&gt;]. Diagnostic markers for early detection of HCC have been investigated previously [&lt;span&gt;4&lt;/span&gt;], but none are widely applied in clinical settings. HCC pathogenesis is closely associated with hepatitis B and C virus (HBV and HCV) infections, which induce chronic inflammation, leading to cirrhosis and elevating the risk of malignant transformation [&lt;span&gt;5&lt;/span&gt;]. Environmental and lifestyle factors, such as diet and alcohol consumption, drive the progression from steatosis to fibrosis, cirrhosis, and eventually HCC [&lt;span&gt;6&lt;/span&gt;]. Due to HCC's multifactorial etiology and prolonged progression, identifying early diagnostic biomarkers remains a challenge [&lt;span&gt;7&lt;/span&gt;]. Thus, integrating analyses of both pre-HCC and cancerous samples is essential for developing robust early detection strategies. This study aimed to: (1) establish stepwise animal models for HCC-related conditions including non-alcoholic steatohepatitis (NASH) and fibrosis [&lt;span&gt;8&lt;/span&gt;]; (2) identify exosomal microRNA (exo-miRNA) signatures for early HCC diagnosis; and (3) develop and validate an artificial intelligence (AI)-based multi-marker model combining exo-miRNAs and AFP levels for accurate HCC diagnosis using clinical samples (Supplementary Figure S1, Supplementary Materials and Methods).&lt;/p&gt;&lt;p&gt;Initially, stepwise mouse models of liver diseases were developed (Figure 1A-C, Supplementary Figure S2A-B). Highly similar gene expression patterns between mouse and human liver diseases were discovered using transcriptome analysis of liver tissues and comparison with public databases (Supplementary Figure S2C). The serum exosomes were then isolated and characterized (Figure 1D, Supplementary Figure S2D), followed by exo-miRNA profiling using Nanostring analysis. This profiling was conducted on mouse models of liver diseases and human samples, which included healthy individuals (&lt;i&gt;n&lt;/i&gt; = 7), patients with cirrhosis (&lt;i&gt;n&lt;/i&gt; = 6), and patients with HCC (&lt;i&gt;n&lt;/i&gt; = 18) (profiling set; Supplementary Table S1).&lt;/p&gt;&lt;p&gt;The selection criteria for exo-miRNAs included the upregulation of exo-miRNAs in serum exosomes from mice or humans with liver diseases compared with levels in exosomes from normal mice or healthy controls. Four exo-miRNAs were upregulated in samples from mice or humans with HCC compared with those from normal mice or healthy controls. Subsequently, additional criteria were applied to distinguish between cirrhosis and HCC using the mouse model, resulting in 4 additional ex","PeriodicalId":9495,"journal":{"name":"Cancer Communications","volume":"45 9","pages":"1188-1193"},"PeriodicalIF":24.9,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cac2.70043","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144504897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Cover Image, Volume 45, Issue 6 封面图片,第45卷,第6期
IF 20.1 1区 医学 Q1 ONCOLOGY Pub Date : 2025-06-24 DOI: 10.1002/cac2.12561
Katia Mariniello, James F. H. Pittaway, Barbara Altieri, Kleiton Silva Borges, Irene Hadjidemetriou, Claudio Ribeiro, Gerard Ruiz-Babot, David S. Tourigny, Jiang A. Lim, Julie Foster, Julie Cleaver, Jane Sosabowski, Nafis Rahman, Milena Doroszko, Constanze Hantel, Sandra Sigala, Andrea Abate, Mariangela Tamburello, Katja Kiseljak-Vassiliades, Margaret Wierman, Charlotte Hall, Laila Parvanta, Tarek E. Abdel-Aziz, Teng-Teng Chung, Aimee Di Marco, Fausto Palazzo, Celso E. Gomez-Sanchez, David R. Taylor, Oliver Rayner, Cristina L. Ronchi, Carles Gaston-Massuet, Silviu Sbiera, William M. Drake, Emanuel Rognoni, Matthias Kroiss, David T. Breault, Martin Fassnacht, Leonardo Guasti

The cover image is based on the article Dlk1 is a novel adrenocortical stem/progenitor cell marker that predicts malignancy in adrenocortical carcinoma by James Pittaway et al., https://doi.org/10.1002/cac2.70012.

封面图片基于James Pittaway等人的文章Dlk1是一种新的肾上腺皮质干细胞/祖细胞标记物,可预测肾上腺皮质癌的恶性程度https://doi.org/10.1002/cac2.70012。
{"title":"Cover Image, Volume 45, Issue 6","authors":"Katia Mariniello,&nbsp;James F. H. Pittaway,&nbsp;Barbara Altieri,&nbsp;Kleiton Silva Borges,&nbsp;Irene Hadjidemetriou,&nbsp;Claudio Ribeiro,&nbsp;Gerard Ruiz-Babot,&nbsp;David S. Tourigny,&nbsp;Jiang A. Lim,&nbsp;Julie Foster,&nbsp;Julie Cleaver,&nbsp;Jane Sosabowski,&nbsp;Nafis Rahman,&nbsp;Milena Doroszko,&nbsp;Constanze Hantel,&nbsp;Sandra Sigala,&nbsp;Andrea Abate,&nbsp;Mariangela Tamburello,&nbsp;Katja Kiseljak-Vassiliades,&nbsp;Margaret Wierman,&nbsp;Charlotte Hall,&nbsp;Laila Parvanta,&nbsp;Tarek E. Abdel-Aziz,&nbsp;Teng-Teng Chung,&nbsp;Aimee Di Marco,&nbsp;Fausto Palazzo,&nbsp;Celso E. Gomez-Sanchez,&nbsp;David R. Taylor,&nbsp;Oliver Rayner,&nbsp;Cristina L. Ronchi,&nbsp;Carles Gaston-Massuet,&nbsp;Silviu Sbiera,&nbsp;William M. Drake,&nbsp;Emanuel Rognoni,&nbsp;Matthias Kroiss,&nbsp;David T. Breault,&nbsp;Martin Fassnacht,&nbsp;Leonardo Guasti","doi":"10.1002/cac2.12561","DOIUrl":"https://doi.org/10.1002/cac2.12561","url":null,"abstract":"<p>The cover image is based on the article <i>Dlk1 is a novel adrenocortical stem/progenitor cell marker that predicts malignancy in adrenocortical carcinoma</i> by James Pittaway et al., https://doi.org/10.1002/cac2.70012.\u0000\u0000 <figure>\u0000 <div><picture>\u0000 <source></source></picture><p></p>\u0000 </div>\u0000 </figure></p>","PeriodicalId":9495,"journal":{"name":"Cancer Communications","volume":"45 6","pages":""},"PeriodicalIF":20.1,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cac2.12561","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144473056","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
NAT10 regulates tumor progression and immune microenvironment in pancreatic ductal adenocarcinoma via the N4-acetylated LAMB3-mediated FAK/ERK pathway NAT10通过n4乙酰化lamb3介导的FAK/ERK通路调控胰腺导管腺癌的肿瘤进展和免疫微环境。
IF 24.9 1区 医学 Q1 ONCOLOGY Pub Date : 2025-06-20 DOI: 10.1002/cac2.70045
Enhong Chen, Qin Wang, Leisheng Wang, Zebo Huang, Dongjie Yang, Changyong Zhao, Wuqiang Chen, Shuo Zhang, Shuming Xiong, Youzhao He, Yong Mao, Hao Hu

Background

N-acetyltransferase 10 (NAT10) was reported to be associated with the immune microenvironment in several cancers. However, it is not known in pancreatic ductal adenocarcinoma (PDAC). This study aimed to elucidate the roles and mechanisms of NAT10 in tumor malignancy and the tumor microenvironment (TME) in PDAC.

Methods

NAT10 expression and its role in tumor progression and clinical prognosis were analyzed using bioinformatics and functional assays. Downstream genes regulated by NAT10 and their underlying mechanisms were explored using acetylated RNA immunoprecipitation, quantitative polymerase chain reaction, RNA immunoprecipitation, and Western blotting. The role and mechanism of NAT10 in the PDAC TME were further explored using bioinformatics, single-cell RNA sequencing, multiplexed immunofluorescence, and flow cytometry. The association between NAT10 and immunotherapeutic response was investigated in a mouse model by inhibiting the programmed cell death 1/programmed cell death ligand 1(PD-1/PD-L1) axis with a PD-1/PD-L1 binding inhibitor, Naamidine J.

Results

NAT10 was upregulated in PDAC tissues and cell lines, and was associated with poor progression-free survival of PDAC patients. NAT10 promoted tumor progression by enhancing the mRNA stability of laminin β3 (LAMB3) via N4-acetylation modification, thereby activating the focal adhesion kinase (FAK)/extracellular regulated protein kinases (ERK) pathway. NAT10 promoted subcutaneous tumor growth, increased the proportion of exhausted CD8+ T cells (CD8+ Tex), especially the intermediate CD8+ Tex subset, and decreased the proportion of cytotoxic CD8+ T cell (CD8+ Tc) subset in the PDAC TME. Naamidine J treatment significantly enhanced the proportion of CD8+ Tc subset and reduced the proportion of intermediate CD8+ Tex subset in mice bearing subcutaneous tumors with high NAT10 expression. Regarding the regulatory mechanism, NAT10 increased PD-L1 expression and abundance in tumor cells by activating the LAMB3/FAK/ERK pathway, thereby reducing the cytotoxicity of CD8+ T cells. Inhibition of the PD-1/PD-L1 axis with Naamidine J retrieved CD8+ T cell cytotoxicity.

Conclusions

This study proposes a regulatory role of NAT10 in tumor progression and immune microenvironment via the LAMB3/FAK/ERK pathway in PDAC. These findings may favor the selection of cand

背景:n -乙酰转移酶10 (NAT10)被报道与几种癌症的免疫微环境有关。然而,在胰腺导管腺癌(PDAC)中尚不清楚。本研究旨在阐明NAT10在肿瘤恶性及PDAC中肿瘤微环境(tumor microenvironment, TME)中的作用及机制。方法:采用生物信息学和功能分析方法分析NAT10的表达及其在肿瘤进展和临床预后中的作用。通过乙酰化RNA免疫沉淀、定量聚合酶链反应、RNA免疫沉淀和Western blotting等方法,探索NAT10调控的下游基因及其潜在机制。利用生物信息学、单细胞RNA测序、多重免疫荧光和流式细胞术进一步探讨NAT10在PDAC TME中的作用和机制。在小鼠模型中,通过PD-1/PD-L1结合抑制剂Naamidine j抑制程序性细胞死亡1/程序性细胞死亡配体1(PD-1/PD-L1)轴,研究了NAT10与免疫治疗反应之间的关系。结果:NAT10在PDAC组织和细胞系中上调,并与PDAC患者较差的无进展生存期相关。NAT10通过n4乙酰化修饰增强层粘连蛋白β3 (lam3) mRNA的稳定性,从而激活局灶黏附激酶(FAK)/细胞外调节蛋白激酶(ERK)通路,从而促进肿瘤进展。NAT10促进皮下肿瘤生长,增加PDAC TME中耗竭CD8+ T细胞(CD8+ Tex),尤其是中间CD8+ Tex亚群的比例,降低细胞毒性CD8+ T细胞(CD8+ Tc)亚群的比例。Naamidine J处理显著提高了NAT10高表达皮下肿瘤小鼠CD8+ Tc亚群的比例,降低了中间CD8+ Tex亚群的比例。在调控机制上,NAT10通过激活LAMB3/FAK/ERK通路,增加肿瘤细胞中PD-L1的表达和丰度,从而降低CD8+ T细胞的细胞毒性。Naamidine J对PD-1/PD-L1轴的抑制作用结论:本研究提出了NAT10在PDAC中通过LAMB3/FAK/ERK通路调控肿瘤进展和免疫微环境的作用。这些发现可能有助于选择可能受益于免疫治疗的候选人,优化当前的治疗策略,并改善PDAC患者的临床预后。
{"title":"NAT10 regulates tumor progression and immune microenvironment in pancreatic ductal adenocarcinoma via the N4-acetylated LAMB3-mediated FAK/ERK pathway","authors":"Enhong Chen,&nbsp;Qin Wang,&nbsp;Leisheng Wang,&nbsp;Zebo Huang,&nbsp;Dongjie Yang,&nbsp;Changyong Zhao,&nbsp;Wuqiang Chen,&nbsp;Shuo Zhang,&nbsp;Shuming Xiong,&nbsp;Youzhao He,&nbsp;Yong Mao,&nbsp;Hao Hu","doi":"10.1002/cac2.70045","DOIUrl":"10.1002/cac2.70045","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Background</h3>\u0000 \u0000 <p>N-acetyltransferase 10 (NAT10) was reported to be associated with the immune microenvironment in several cancers. However, it is not known in pancreatic ductal adenocarcinoma (PDAC). This study aimed to elucidate the roles and mechanisms of NAT10 in tumor malignancy and the tumor microenvironment (TME) in PDAC.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>NAT10 expression and its role in tumor progression and clinical prognosis were analyzed using bioinformatics and functional assays. Downstream genes regulated by NAT10 and their underlying mechanisms were explored using acetylated RNA immunoprecipitation, quantitative polymerase chain reaction, RNA immunoprecipitation, and Western blotting. The role and mechanism of NAT10 in the PDAC TME were further explored using bioinformatics, single-cell RNA sequencing, multiplexed immunofluorescence, and flow cytometry. The association between NAT10 and immunotherapeutic response was investigated in a mouse model by inhibiting the programmed cell death 1/programmed cell death ligand 1(PD-1/PD-L1) axis with a PD-1/PD-L1 binding inhibitor, Naamidine J.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>NAT10 was upregulated in PDAC tissues and cell lines, and was associated with poor progression-free survival of PDAC patients. NAT10 promoted tumor progression by enhancing the mRNA stability of laminin β3 (LAMB3) via N4-acetylation modification, thereby activating the focal adhesion kinase (FAK)/extracellular regulated protein kinases (ERK) pathway. NAT10 promoted subcutaneous tumor growth, increased the proportion of exhausted CD8<sup>+</sup> T cells (CD8<sup>+</sup> Tex), especially the intermediate CD8<sup>+</sup> Tex subset, and decreased the proportion of cytotoxic CD8<sup>+</sup> T cell (CD8<sup>+</sup> Tc) subset in the PDAC TME. Naamidine J treatment significantly enhanced the proportion of CD8<sup>+</sup> Tc subset and reduced the proportion of intermediate CD8<sup>+</sup> Tex subset in mice bearing subcutaneous tumors with high NAT10 expression. Regarding the regulatory mechanism, NAT10 increased PD-L1 expression and abundance in tumor cells by activating the LAMB3/FAK/ERK pathway, thereby reducing the cytotoxicity of CD8<sup>+</sup> T cells. Inhibition of the PD-1/PD-L1 axis with Naamidine J retrieved CD8<sup>+</sup> T cell cytotoxicity.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>This study proposes a regulatory role of NAT10 in tumor progression and immune microenvironment via the LAMB3/FAK/ERK pathway in PDAC. These findings may favor the selection of cand","PeriodicalId":9495,"journal":{"name":"Cancer Communications","volume":"45 9","pages":"1162-1187"},"PeriodicalIF":24.9,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/cac2.70045","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144336319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
Cancer Communications
全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1