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CHD4 epigenetically coordinates genomic instability and immunosuppression to drive pan-cancer progression and confer HDAC inhibitor sensitivity. CHD4在表观遗传学上协调基因组不稳定性和免疫抑制,以驱动泛癌症进展并赋予HDAC抑制剂敏感性。
IF 3.5 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-02-13 DOI: 10.1007/s10238-026-02081-y
Guangxu Fu, Yong Tao, Keyi Feng, Yuxing Chen, Wen Zhang, Zhen Zhang, Guoda Hu, Yunsheng Ou
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引用次数: 0
Clinical and genetic insights into novel TP53 mutations in De Novo AML patients. 新发AML患者TP53突变的临床和遗传学研究
IF 3.5 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-02-12 DOI: 10.1007/s10238-026-02079-6
Afia Muhammad Akram, Sikandar Hayat, Hassan Yousaf, Noreen Sarwar, Asma Tahir, Sakina Ali, Fatima Yaqoob, Amjad Zafar, Hesham M Hassan, Mutwakel Dabiellil, Malik Ihsan Ullah Khan
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引用次数: 0
HBV reprograms the tumor microenvironment in hepatocellular carcinoma: mechanisms and therapeutic implications. HBV重编程肝细胞癌的肿瘤微环境:机制和治疗意义
IF 3.5 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-02-11 DOI: 10.1007/s10238-025-01851-4
Xiaodong Shen, Hechen Huang, Jianpeng Sheng, Xiaofeng Tang

Hepatitis B virus (HBV) infection is an important worldwide health issue and attribute to hepatocellular carcinoma (HCC) via direct oncogenic and indirect mechanisms. HBV reprograms the tumor microenvironment (TME) through immunosuppression, metabolic adaptation, and stromal remodel, allowing tumor promotion and immune evasion. This review examines HBV-induced TME changes, including epigenetic dysregulation, immune cell dysfunction, and fibrosis, as well as new therapeutic options including immune checkpoint blockade, adoptive cell therapy, and metabolic targeting to improve outcomes in HBV-related HCC.

乙型肝炎病毒(HBV)感染是一个重要的全球健康问题,并通过直接致癌和间接机制归因于肝细胞癌(HCC)。HBV通过免疫抑制、代谢适应和基质重塑对肿瘤微环境(TME)进行重编程,从而促进肿瘤生长和免疫逃逸。本文综述了hbv诱导的TME改变,包括表观遗传失调、免疫细胞功能障碍和纤维化,以及新的治疗选择,包括免疫检查点阻断、过继细胞治疗和代谢靶向,以改善hbv相关HCC的预后。
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引用次数: 0
Immunological mechanisms of autoimmune gastritis. 自身免疫性胃炎的免疫学机制。
IF 3.5 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-02-11 DOI: 10.1007/s10238-026-02080-z
Jiarun Qian, Zhen Hu, Zihan Xu, Shiqing Yuan, Jiaying Zhao, Hongli Shi, Xiaoyun Wang

Autoimmune gastritis (AIG) is a chronic disease characterized by specific immune damage to the gastric mucosa. Previous studies have mostly focused on the single immune pathway mainly mediated by T cells, but the synergistic role of humoral immunity in disease progression cannot be ignored. This article systematically reviews the immunological mechanism of AIG, and analyzes the inflammatory cascade immune mechanism centered on the self-attack of gastric parietal cells mediated by CD4+ T, with the pro-inflammatory roles of Th1/Th17 cells and defective suppressive function of Tregs as a supplement. This article emphasizes the imbalance between humoral and cellular immunity, including the pathogenic potential of autoantibodies and the synergistic role of T-B cells in promoting inflammation. Furthermore, while existing animal models (including genetic modification, lymphopenic, and non-lymphopenic models) can replicate features of human AIG such as gastric gland atrophy, they exhibit significant limitations regarding the mechanism of T-B cell collaboration, differences in cancer risk, and species specificity. This article systematically clarifies that AIG results from an imbalance between cellular and humoral immunity, providing a theoretical basis for targeted immunotherapy strategies.

自身免疫性胃炎(AIG)是一种以胃粘膜特异性免疫损伤为特征的慢性疾病。以往的研究多集中在以T细胞为主介导的单一免疫途径上,但体液免疫在疾病进展中的协同作用不容忽视。本文系统综述了AIG的免疫机制,分析了CD4+ T介导的以胃壁细胞自我攻击为中心,以Th1/Th17细胞的促炎作用和Tregs的缺陷抑制功能为补充的炎症级联免疫机制。本文强调体液免疫和细胞免疫之间的不平衡,包括自身抗体的致病潜力和T-B细胞在促进炎症中的协同作用。此外,虽然现有的动物模型(包括基因修饰、淋巴细胞减少和非淋巴细胞减少模型)可以复制人类AIG的特征,如胃腺萎缩,但它们在T-B细胞协同作用机制、癌症风险差异和物种特异性方面存在显着局限性。本文系统阐明了AIG是细胞免疫和体液免疫失衡的结果,为靶向免疫治疗策略提供了理论依据。
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引用次数: 0
Identification and validation of the protective gene BCAT2 related to amino acid metabolism in idiopathic pulmonary fibrosis. 特发性肺纤维化中氨基酸代谢相关保护基因BCAT2的鉴定和验证。
IF 3.5 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-02-10 DOI: 10.1007/s10238-026-02053-2
Huihui Zhu, Min Chen, Qi Li, Sihao Cui, Cheng Jiang, Xiaoling Ye, Shixuan Hou, Ji Zhang, Xinmei Huang, Mengshu Cao

Idiopathic pulmonary fibrosis (IPF) is a progressive and fatal lung disease, with unknown pathogenesis and no effective treatment. Identifying the key molecular of IPF in underlying mechanisms is critical for developing targeted therapies. Differentially expressed genes (DEGs) were identified based on GSE53845 data from the Gene Expression Omnibus (GEO) database and the Limma R package, followed by gene set enrichment analysis (GSEA). The key module genes selected by Weighted Gene Co-expression Network Analysis (WGCNA) were integrated with the DEGs. The hub genes were screened using three machine-learning algorithms, with further performance validated through Receiver Operating Characteristic (ROC) curves and nomogram models. In addition, validation was performed using external validation sets, in vitro experiments and human lung tissues. Enrichment analyses were conducted using GeneMANIA and GSEA. Branched chain amino acid transferase 2 (BCAT2) was identified as a central hub gene in IPF by intersecting key module genes with DEGs through WGCNA and machine learning methods. Experimental validation confirmed the significantly downregulation of BCAT2 in the lung tissues of IPF patients and in TGF-β1-treated alveolar epithelial cells (AECs). Moreover, upregulation of BCAT2 attenuated the expression of fibrosis markers in AECs exposed to TGF-β1. Ultimately, Co-expression analysis and GSEA indicated that BCAT2 is closely involved in several key signaling pathways. Collectively, our findings suggest that BCAT2 is a critical protective molecule in the pathogenesis of IPF and represents a potential therapeutic target for modulating the progression of pulmonary fibrosis.

特发性肺纤维化(Idiopathic pulmonary fibrosis, IPF)是一种进行性、致死性肺部疾病,发病机制尚不清楚,目前尚无有效的治疗方法。在潜在机制中确定IPF的关键分子对于开发靶向治疗至关重要。根据基因表达Omnibus (GEO)数据库和Limma R软件包中的GSE53845数据鉴定差异表达基因(deg),然后进行基因集富集分析(GSEA)。将加权基因共表达网络分析(Weighted Gene Co-expression Network Analysis, WGCNA)选择的关键模块基因与deg进行整合。中心基因使用三种机器学习算法进行筛选,并通过受试者工作特征(ROC)曲线和nomogram模型进一步验证其性能。此外,还使用外部验证集、体外实验和人肺组织进行验证。利用GeneMANIA和GSEA进行富集分析。分枝链氨基酸转移酶2 (BCAT2)通过WGCNA和机器学习方法将关键模块基因与deg交叉,确定为IPF的中心枢纽基因。实验验证证实了IPF患者肺组织及TGF-β1处理的肺泡上皮细胞(AECs)中BCAT2的显著下调。此外,BCAT2的上调可减弱TGF-β1作用下aec中纤维化标志物的表达。最终,共表达分析和GSEA表明BCAT2密切参与几个关键的信号通路。总之,我们的研究结果表明,BCAT2是IPF发病机制中的关键保护分子,代表了调节肺纤维化进展的潜在治疗靶点。
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引用次数: 0
Machine learning, whole-transcriptome and integrative omics analysis reveals key regulatory networks governing human spermatogonial stem cells. 机器学习、全转录组和综合组学分析揭示了人类精原干细胞的关键调控网络。
IF 3.5 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-02-10 DOI: 10.1007/s10238-026-02074-x
Danial Hashemi Karoii, Maryam Osanloo, Hossein Azizi, Thomas Skutella
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引用次数: 0
Monitoring cancer-related fatigue and quality of life in breast and prostate cancer patients after primary treatment: a study protocol for the REBECCA trials in Norway. 监测乳腺癌和前列腺癌患者在初级治疗后的癌症相关疲劳和生活质量:挪威REBECCA试验的研究方案。
IF 3.5 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-02-08 DOI: 10.1007/s10238-026-02073-y
Marius Stensland, Karina F Bru, Marie Austdal, Ingrid H Dahl, Kristin Jonsdottir, Tone H Lende, Cato Heimvik, Inger Elve, Roald Omdal, Mark van der Giezen, Ingeborg Kvivik, Berthine Tangeland, Lisbeth Davidsen, Masood Hashemi, Adam Cais, Karlijn J van Dijk, Yohannes Seyoum, Vibeke Blåfjelldal, Siri Tungland Sola, Alexandros Papadopoulos, Niki Kiriakidou, Ioannis Ioakeimidis, Christos Diou, Ioannis Sarafis, Anastasios Delopoulos, Emiel A M Janssen, Bjørnar Gilje, Kjersti Tjensvoll

The REBECCA project taps into the potential of using real-world data (RWD) for supporting groundbreaking clinical research on complex chronic conditions as a complement to Randomised Controlled Trials. REBECCA moves beyond the analysis of clinical data from Electronic health records, by combining it with detailed monitoring data from multiple wearables, online behaviour and self-reported data to monitor patients's quality of life in terms of their functional and emotional status. The project focuses on the detection of cancer-related fatigue, developed during breast cancer recovery, using digital biomarker profiles for early detection of the disease and assessing the value of detailed and longitudinal patient monitoring as a means of improving patient care. The project also demonstrates the extensibility of REBECCA monitoring to other forms of cancer, such as prostate cancer. We describe the three clinical trials being conducted in Norway and the use of the REBECCA platform, capable of detailed monitoring and privacy preserving federated cross-country data analysis. The RWD will be analyzed in the context of data from questionnaires (Patient Reported Outcome Measures) and results from analysis of biological samples. Through this approach we expect that the REBECCA project will produce new knowledge on clinical management of cancer patients and contribute to new biological knowledge on cancer-related fatigue. Status and perspectives: The REBECCA project is ongoing, and patient follow-up will be completed during February 2026. The initial analyses of RWD, PROMs and biological samples have started together with the partners in the REBECCA consortium. The REBECCA trials are approved by the Regional Ethics Committee of the Western Health Authority (REK Vest) under the IDs 225,855 (REBECCA-1), 242,088 (REBECCA-2) and 619,903 (REBECCA-3). All trials have also been registered at clinicaltrials.gov (NCT05587777, NCT06120595 and NCT06435091). Trial registration: NCT05587777, Retrospectively registered 19th of October 2022, https://clinicaltrials.gov/study/ NCT05587777; NCT05587777, Retrospectively registered 6th of November 2023, https://clinicaltrials.gov/study/ NCT06120595; NCT05587777, Retrospectively registered 23rd of May 2024, https://clinicaltrials.gov/study/ NCT06435091.

REBECCA项目挖掘了使用真实世界数据(RWD)的潜力,以支持复杂慢性疾病的突破性临床研究,作为随机对照试验的补充。REBECCA超越了对电子健康记录临床数据的分析,将其与多种可穿戴设备的详细监测数据、在线行为和自我报告数据相结合,从功能和情绪状态方面监测患者的生活质量。该项目侧重于检测乳腺癌康复期间产生的癌症相关疲劳,使用数字生物标志物谱进行疾病早期检测,并评估详细和纵向患者监测作为改善患者护理手段的价值。该项目还展示了REBECCA监测其他形式癌症(如前列腺癌)的可扩展性。我们描述了在挪威进行的三个临床试验和REBECCA平台的使用,该平台能够进行详细的监测和隐私保护联邦跨国数据分析。RWD将在问卷调查(患者报告的结果测量)数据和生物样本分析结果的背景下进行分析。通过这种方法,我们期望REBECCA项目将产生癌症患者临床管理的新知识,并为癌症相关疲劳的新生物学知识做出贡献。现状和展望:REBECCA项目正在进行中,患者随访将于2026年2月完成。RWD、prom和生物样品的初步分析已与REBECCA财团的合作伙伴一起开始。REBECCA试验由西部卫生局(REK Vest)的区域伦理委员会批准,编号为225,855 (REBECCA-1)、242,088 (REBECCA-2)和619,903 (REBECCA-3)。所有试验也已在clinicaltrials.gov (NCT05587777、NCT06120595和NCT06435091)上注册。试验注册:NCT05587777,回溯注册于2022年10月19日,https://clinicaltrials.gov/study/ NCT05587777;NCT05587777,追溯注册于2023年11月6日,https://clinicaltrials.gov/study/ NCT06120595;NCT05587777,追溯注册于2024年5月23日,https://clinicaltrials.gov/study/ NCT06435091。
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引用次数: 0
PRKD1/EIF5A/β-catenin axis inhibits tumorigenesis and metastasis in non-small-cell lung cancer. PRKD1/EIF5A/β-catenin轴抑制非小细胞肺癌的肿瘤发生和转移
IF 3.5 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-02-08 DOI: 10.1007/s10238-026-02068-9
Yu Wang, Mengyu Zhang, Lijun Fang, Jiajia Qu, Chen Huo, Rui Li, Jie Yao, Yiqing Qu
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引用次数: 0
"Cytokine-Mediated tumor sensitization: mechanistic frameworks and therapeutic opportunities in cancer Immunotherapy". 细胞因子介导的肿瘤致敏:癌症免疫治疗的机制框架和治疗机会。
IF 3.5 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-02-08 DOI: 10.1007/s10238-026-02066-x
Mojtaba Aghaei, Seyed Sobhan Bahreiny, Amir Hossein Mahdizade, Ali Abbasi, AmirMohammad Magharati, Arshid Yousefi-Avarvand

Cytokines are pivotal regulators of immune responses and inflammation, and their dysregulation is implicated in cancer initiation and progression. A deeper understanding of cytokine-mediated modulation of tumor cell behavior may uncover novel therapeutic targets for cancer treatment.A comprehensive literature search was conducted across PubMed, Scopus, and Web of Science databases using keywords such as "cytokines," "tumor sensitization," "immune regulation," and "cancer therapy." Peer-reviewed articles published between 2002 and 2025 were evaluated and synthesized to provide an updated overview of cytokine-related therapeutic strategies.This review highlights the complex roles of key cytokines-including interleukins (IL-1, IL-6, IL-8, IL-10, IL-17), interferons (types I and II), tumor necrosis factor-α (TNF-α), and transforming growth factor-β (TGF-β)-in modulating tumor cell susceptibility to therapeutic interventions. While cytokines exhibit both tumor-promoting and tumor-suppressive properties, recent advances in cytokine engineering, targeted delivery systems, and combination immunotherapies have enhanced their clinical potential.Integrating cytokine modulation into oncology may improve personalized immunotherapy outcomes.

细胞因子是免疫反应和炎症的关键调节因子,其失调与癌症的发生和发展有关。对细胞因子介导的肿瘤细胞行为调节的深入了解可能会发现新的癌症治疗靶点。在PubMed、Scopus和Web of Science数据库中进行了全面的文献检索,关键词包括“细胞因子”、“肿瘤致敏”、“免疫调节”和“癌症治疗”。对2002年至2025年间发表的同行评议文章进行评估和综合,以提供细胞因子相关治疗策略的最新概述。这篇综述强调了关键细胞因子——包括白细胞介素(IL-1、IL-6、IL-8、IL-10、IL-17)、干扰素(I型和II型)、肿瘤坏死因子-α (TNF-α)和转化生长因子-β (TGF-β)——在调节肿瘤细胞对治疗干预的易感性中的复杂作用。虽然细胞因子具有促进肿瘤和抑制肿瘤的特性,但细胞因子工程、靶向递送系统和联合免疫疗法的最新进展增强了它们的临床潜力。将细胞因子调节整合到肿瘤学中可能会改善个性化免疫治疗的结果。
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引用次数: 0
LncRNA CCAT2 role in female-related cancer progression and diagnosis: a comprehensive review. LncRNA CCAT2在女性相关癌症进展和诊断中的作用:一项综合综述
IF 3.5 4区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL Pub Date : 2026-02-08 DOI: 10.1007/s10238-026-02040-7
Ahmad Ghorbani Vanan, Farnaz Hassanzadeh, Farid Ghorbaninezhad, Fatemeh Taheri, Omid Bahrami, Parimehr Heidari, Zahra Baharvand, Simin Raissi, Pooya Eini, Safa Tahmasebi, Elham Safarzadeh

Female-related cancers, including breast, ovarian, endometrial, and cervical malignancies, are among the most prevalent and clinically significant health challenges worldwide. Their development involves a complex interplay of genetic mutations, environmental factors, lifestyle influences, and therapeutic interventions. Long non-coding RNAs (lncRNAs) have emerged as critical regulators in these cancers, modulating epigenetic mechanisms, transcriptional programs, and post-transcriptional processes. Aberrant lncRNA expression promotes tumor initiation, drives progression and metastasis, and facilitates epithelial-mesenchymal transition (EMT) and angiogenesis. Among these, colon cancer-associated transcript 2 (CCAT2) has been identified as an oncogenic lncRNA across multiple tumor types. CCAT2 primarily activates the Wnt/β-catenin signaling pathway, enhancing β-catenin transcriptional activity and upregulating downstream targets such as MYC and cyclin D1, which are essential for cancer cell proliferation and survival. Despite growing evidence of its oncogenic role, the specific contribution of CCAT2 to female-related cancers remains incompletely understood. This study systematically reviews recent findings on CCAT2's role in the development and progression of breast, ovarian, endometrial, and cervical cancers, elucidates the underlying molecular mechanisms, and evaluates its potential as a diagnostic and prognostic biomarker. Furthermore, the translational potential of CCAT2 as a therapeutic target is discussed, highlighting opportunities for improving clinical outcomes in these malignancies.

与女性相关的癌症,包括乳腺癌、卵巢癌、子宫内膜癌和宫颈恶性肿瘤,是世界范围内最普遍和临床意义重大的健康挑战之一。它们的发展涉及基因突变、环境因素、生活方式影响和治疗干预等复杂的相互作用。长链非编码rna (lncrna)已成为这些癌症的关键调节因子,调节表观遗传机制、转录程序和转录后过程。lncRNA的异常表达促进肿瘤的发生、进展和转移,并促进上皮-间质转化(EMT)和血管生成。其中,结肠癌相关转录本2 (CCAT2)已被确定为多种肿瘤类型的致癌lncRNA。CCAT2主要激活Wnt/β-catenin信号通路,增强β-catenin转录活性,上调下游靶点如MYC和cyclin D1,这些靶点对癌细胞增殖和存活至关重要。尽管越来越多的证据表明其致癌作用,但CCAT2在女性相关癌症中的具体作用仍不完全清楚。本研究系统回顾了CCAT2在乳腺癌、卵巢癌、子宫内膜癌和宫颈癌发生发展中的作用,阐明了其潜在的分子机制,并评估了其作为诊断和预后生物标志物的潜力。此外,本文还讨论了CCAT2作为治疗靶点的转化潜力,强调了改善这些恶性肿瘤临床结果的机会。
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引用次数: 0
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