Network Biology and Precision Medicine

• 6858 · PDF 单细胞层面阐明 IDH 突变型胶质瘤中分子上不同的状态及治疗易感性 Single-cell elucidation of molecularly distinct states and therapeutic vulnerabilities in IDH-mutant glioma Luca Zanella, Patrick M. Kerwin, Mikko Turunen, Peter A. Sims, Peter D. Canoll, Andrea Califano
• 6859 · PDF 靶向主调控因子以重编程中性粒细胞并增强去势抵抗性前列腺癌中 PD-1 阻断的疗效 Targeting master regulators to reprogram neutrophils and enhance PD-1 blockade efficacy in castration-resistant prostate cancer Melania Franchini, Florencia Picech, Cory Abate-Shen, Andrea Califano
• 6860 · PDF 用于 mRNA 癌症疫苗设计中高保真新抗原发现的集成体细胞变异检出与转录本重建 Ensemble somatic variant calling and transcript reconstruction for high-fidelity neoantigen discovery in mRNA cancer vaccine design Po-Yuan Chen, Mi-Hua Tao, Tai-Ming Ko
• 6861 · PDF NeonDisco：一个用于对复发性新抗原候选物进行计算机模拟发现与优先排序的 Nextflow 编排框架 NeonDisco: A Nextflow orchestration framework for in silico discovery and prioritization of recurrent neoantigen candidates Mohd Suffian Azizan, Min Hui Tan, Jia Wern Pan, Sok Ching Cheong
• 6862 · PDF 一种用于计算机模拟TMA构建及空间转录组数据分组比较以分析肿瘤微环境的可扩展工作流程 A scalable workflow for in silico TMA construction and groupwise comparison of spatial transcriptomic data for analyzing tumor microenvironment Dongjoo Lee, Sungwoo Bae, Yeonjae Jung, Kwon Joong Na, Hongyoon Choi
• 6863 · PDF 整合计算和实验方法以优化BRCA相关乳腺癌中RNA融合的识别 Integrating computational and experimental approaches to optimize RNA fusion identification in BRCA associated breast cancer Janvi Sandhu, Anjana Bhardwaj, Chathurani Ranathunge, Dilshan C. Adhikari, Shiyanth Thevasagayampillai, Jamal Hill, Abhijit Mazumdar, Preethi H. Gunaratne, Isabelle Bedrosian
• 6865 · PDF 通过知识图谱筛选创新型与增量型肺癌试验以实现需求对齐的设计 A knowledge graph screen of innovative versus incremental lung cancer trials for need-aligned designs Mahitha Simhambhatla, Maya Ylagan, Praneeth Sajja, Daruka Mahadevan, Erik S. Ferlanti, James Carson, Boone Goodgame, Ehsan Irajizad, Samir M. Hanash, Jeanne Kowalski
• 6866 · PDF 通过功能模块预测和in4mer enCas12a平台绘制癌症相关的遗传相互作用图谱 Mapping cancer-relevant genetic interactions with functional module prediction and in4mer enCas12a platform Chenchu Lin, Veronica Gheorghe, Juihsuan Rosalind Chou, Sabriyeh Alibai, Subin Kim, Nazanin Esmaeili Anvar, Yixin Xu, Xingdi Ma, Lori L. Wilson, Russell Moser, Junjie Chen, Christopher J. Kemp, Scott Kopetz, Glen Traver Hart
• 6867 · PDF 揭示癌症中内在无序区域的系统水平突变图谱 Uncovering the systems-level mutational landscape of intrinsically disordered regions in cancer Kivilcim Ozturk, Hannah K. Carter
• 6868 · PDF 通过全转录组因果基因调控网络理解前列腺癌的分子机制 Understanding molecular mechanisms of prostate cancer via transcriptome-wide causal gene regulatory networks Min Zhang, Zhongli Jiang, Xiaolin Zi, Danni Liu, Yan Li, Dabao Zhang
• 6869 · PDF 多组学分析在尿路上皮癌中识别出三个分子聚类：迈向临床精准的路径 Multi-omic profiling identified three molecular clusters in urothelial carcinoma: A path towards clinical precision Nils Cornelis Hendricus van Creij, Piotr Tymoszuk, Florian Handle, Andreas Seeber, Teresa Sellemond, Agnieszka Martowicz, Eva Compérat, Hamed Wafa, Steffen Ormanns, Michael Günther, Walther Parson, Maxim Noeparast, Frederic Romain Santer, Jose Daniel Subiela, Petros Grivas, Roger Li, Zoran Culig, Renate Pichler
• 6870 · PDF Quartet：肿瘤细胞系稳健体细胞突变数据库 Quartet: A database of robust somatic mutations in tumor cell lines Daniel Halmos, Trey Ideker
• 6871 · PDF 四种二代测序检测的真实世界分析一致性：检测方法学与生物信息学对临床决策的影响 Real-world analytical concordance of four next-generation sequencing assays: Impact of assay methodology and bioinformatics on clinical decision-making Liudmila Zhukova, Sergei Smolin, Svetlana Smolina, Nikolai Karnaukhov
• 6872 · PDF 评估变异检出流程对从头SBS突变特征提取的影响 Assessing the Impact of Variant Calling Pipelines on De Novo SBS Mutational Signature Extraction Zichen Jiang, Jessica Nghi Au, Mariya Kazachkova, Marcos Díaz-Gay, Raviteja Vangara, Ludmil B. Alexandrov
• 6873 · PDF 知识图谱驱动的神经内分泌前列腺癌洞见与药物再利用机遇 Knowledge graph driven insights and drug repurposing opportunities for neuroendocrine prostate cancer Pawan Verma, Prasanna Kumar Sekar Sekar, Dharani Dadi, Manimala Sen, Nobal Dhruw, Abhishek Jha
• 6874 · PDF 基于转录组的AI元模型用于肝细胞癌免疫治疗反应分类 A transcriptome-based AI meta-model for immunotherapy response classification in hepatocellular carcinoma Jimin Seo, Na Young Kwon, Ki Wook Lee, Han-En Lo, Young-Jun Jeon
• 6875 · PDF 利用多尺度知识图谱框架绘制ALS中趋同的神经退行性与致癌通路 Mapping convergent neurodegenerative and oncogenic pathways in ALS using a multi-scale knowledge-graph framework Vasileios Alevizos, Sabrina Edralin, Clark Xu, George A. Papakostas, Zongliang Yue
• 6877 · PDF 染色质网络为人类癌症预后基因表达特征的开发提供依据 Chromatin networks inform the development of prognostic gene expression signatures in human cancers Lucio R. Queiroz, Shreyas Rajaram, Karnika Singh, Angelo Corso Faini, Erika Minonne, Nicola Barbaro, Scarfó Federico, Pushpita Roy, Wikum Dinalankara, Luigi Marchionni
• 6878 · PDF AI驱动的结构变异注释扩展乳腺癌的治疗分层 AI-driven structural variant annotation expands therapeutic stratification in breast cancer Kriti Shukla, Yue Wang, Philip M. Spanheimer, Elizabeth Brunk
• 6879 · PDF 整合组学驱动的数字化身与患者来源的实验模型以加速精准肿瘤学 Integrating omics-driven digital avatars with patient-derived experimental models to accelerate precision oncology Bulak Arpat, Amel Bekkar, Michelle Barnard, Mark Eccleston, Ioannis Xenarios, Kevin Buyens, Michael Prosser
• 6880 · PDF 基于尿液的NGS检测方法在膀胱癌微小残留病灶检测中的优化 Optimization of a urine based NGS assay for detecting minimal residual disease in bladder cancer Yujia Zheng, Philip H. Abbosh, Muhammed Murtaza, Rhea Arya
• 6881 · PDF 用于分析癌症测序数据的快速且经济高效的云端流程 Fast and cost-effective cloud-based pipelines to analyze cancer sequencing data Sam Wiseman, Samantha Van Seters, Saveliy Belkin, David I. Heiman, Vasuki Narasimha Swamy, Antonia Kowalewski, Scott Ritterbush, Zachary Everton, Ron Solan, Chip Stewart, David Lehotzky, Luis Antonio Corchete Sanchez, Xavi Loinaz, Haruna Tomono, Andrew D. Cherniack, Gengchao Wang, Brian P. Danysh, Young Seok Ju, Esther Rheinbay, Gad Getz
• 6882 · PDF 机制一致的细胞系选择：连接真实世界肿瘤驱动因素与体外模型以进行靶点验证 Mechanism-concordant cell-line selection: Bridging real-world tumor drivers and in vitro models for target validation Aviva G. Beckmann, Phillip Comella, Qi Pan, Jonathan Tyler, Enrique Podaza, Veronica Calvo-Vidal, Mark Fereshteh, Iker Huerga, Eric E. Schadt
• 6883 · PDF 一种基于RNA的生存模型预测真实世界中对trastuzumab deruxtecan的反应 An RNA-based survival model predicting real-world response to trastuzumab deruxtecan Klemen Žiberna, Anže Lovše, Žan Kuralt, Janez Kokošar, Marcel Levstek, Luka Ausec, Miha Štajdohar, Rafael Rosengarten, Mark Uhlik, Joshua Wheeler
• 6884 · PDF 基于量子力学的多张量AI/ML可从全基因组正确预测胶质母细胞瘤患者的总生存期、使肿瘤致敏的基因靶点以及肿瘤对该靶向的反应 Quantum mechanics-based multi-tensor AI/ML correctly predicts - glioblastoma patients' overall survival, gene targets to sensitize the tumors, and the tumors' response to their targeting - from their whole genomes Orly Alter, Sri Priya Ponnapalli, Marissa Coppola, Angela C. Gushue, Tessa O. House, Penelope L. Miron, Kristy L. S. Miskimen, Kristin A. Waite, Sarah Pollock, David Bogumil, Nika Iremadze, Samantha Hernandez, Nadiya Sosonkina, Sara E. Coppens, Anthony C. Bryan, Estevan P. Kiernan, Huanming Yang, Jay Bowen, Ghunwa A. Nakouzi, Doron Lipson, Jill S. Barnholtz-Sloan, Andrew E. Sloan, Tiffany R. Hodges, Asaf Zviran, Jessica W. Tsai

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