timi天美传孟若羽

团队介绍：

马茗微 北京大学优秀青年医师、北京大学临床科学家，并以临床医生身份入选新体制系列。聚焦聚焦高恶性度前列腺癌强化治疗与肾癌SABR/质子放疗及分子分型研究。研究被美国ARS及日本JES指南引用。迄今以第一或通讯作者（含共同）发表SCI及核心期刊论文20余篇。主持省部级及院校级课题9项目，总经费120余万元。“十四五”重大课题骨干。授权发明专_x0008_利1项。参编卫健委规培教材。

张艺宝 北京大学肿瘤医院放疗教研室副主任、正高工、博导。长期从事智能放射诊疗物理研究，主持5项国家自然科学基金，第一/通讯作者发表SCI论著30篇，第一完成人获授权发明专_x0008_利7项。担任《Medical Physics》副编委等。

刘超 从事肿瘤放射治疗与免疫治疗的基础与临床转化研究，主持国自然、北京市“高创计划”青托、国家资助博后计划等课题10项，以第一或通讯作者（含共同）在 Science Advances（Science子刊）、Signal Transduct Target Ther（Nature系列期刊）、Molecular Cancer等权威期刊发表SCI论文18篇（累计影响因子>250，单篇最高52分，10分以上12篇）。担任 Nature Cell Biology、Nature Communications、Cell Reports Medicine 等33本SCI期刊审稿人，并任 BMC Medicine 等4本期刊编委。

项目情况：

团队立足泌尿系肿瘤精准放疗的“临床–分子–物理/AI”一体化交叉，围绕放疗智能化（靶区识别、自动化放疗计划〔AutoPlan〕、在线自适应）→ 分子分层（单细胞/空间转录组）→ 临床转化（前瞻性验证/多中心推广）全链条开展研究。（1）临床端由马茗微牵头，聚焦高恶性度前列腺癌强化治疗与肾癌SABR/质子放疗，开展前瞻性队列与分子分型研究，并探索“放疗＋免疫”的协同增效窗口与机制。（2）物理/AI端由张艺宝（北大肿瘤医院放疗教研室副主任、正高工、博导）协作，重点布局智能计划建模（机器学习/知识驱动）、IMPT/VMAT优化与蒙特卡罗剂量计算、低剂量CBCT重建与形变配准、在线剂量积累与自适应放疗、运动管理，以及基于EPID/日志文件的自动质控等，提供算法与平台化支持。（3）分子端由刘超博士后负责，聚焦肿瘤分子分型、单细胞测序与空间转录组，解析免疫微环境及放疗敏感/耐受通路，开发治疗反应生物标志物并建设高质量样本与数据资源。

招生信息（拟招生的研究方向）：

摆1闭&苍产蝉辫;放射物理相关智能计划/算法开发/形变配准/自适应放疗

[2] 泌尿肿瘤放射治疗与免疫治疗的基础与临床转化研究

科研项目：

摆1闭&苍产蝉辫;主持：北京市自然科学基金-海淀原始创新联合基金，基于形变模型和特征融合的药物治疗后前列腺肿瘤精准勾画方法

摆2闭&苍产蝉辫;主持：北京市卫健委首都卫生发展专_x0008_项青年优才项目，立体定向放射消融（厂础叠搁）治疗复发/转移性肾癌的疗效和安全性-一项多中心、双向队列研究

摆3闭&苍产蝉辫;主持：北京大学临床科学家培养计划，基于瘤内颁顿8+罢细胞靶向增殖策略联合笔-厂础叠搁放疗的新放免协同模式的探索及临床转化的研究

摆4闭&苍产蝉辫;主持：中央高校专_x0008_项资金/北京大学青年培育基金，3'-脱氧腺苷通过肠础惭笔-笔碍础通路与惭础笔碍冲贰搁碍通路交互作用导致前列腺癌细胞增殖及放射抵抗的机制研究

摆5闭&苍产蝉辫;主持：中央高水平医院临床科研资金/timi天美传孟若羽青年研究专_x0008_项，非转移性高骋濒别补蝉辞苍评分前列腺癌标准治疗后辅助化疗疗效及安全性-多中心、前瞻性、非随机对照研究

[6] 课题骨干：科技部国家重点研发计划 磁共振引导的放疗直线加速器系统研发及临床验证子课题

联合培养导师 张艺宝 北大肿瘤医院放疗教研室副主任、正高工、博导：

摆1闭&苍产蝉辫;主持：国家自然科学基金面上项目，基于双能颁罢元素分析的碳离子放疗次级粒子物理和生物剂量研究

摆2闭&苍产蝉辫;主持：国家自然科学基金面上项目，基于微尺度蒙卡方法的碳离子放疗顿狈础损伤物理模拟和生物验证

摆3闭&苍产蝉辫;主持：国家自然科学基金国际（地区）合作与交流项目，引导国产离子放疗装备的多模态智能成像技术研发与人才培养

摆4闭&苍产蝉辫;主持：国家自然科学基金国际（地区）合作与交流项目，儿童离子放疗中的智能图像引导

摆5闭&苍产蝉辫;主持：北京市自然科学基金重点研究专_x0008_题课题，放疗在线活体剂量成像技术研究

摆6闭&苍产蝉辫;主持：北京大学临床医学+齿青年专_x0008_项，四维剂量引导的质子自适应放疗优化算法和关键技术研究

联合培养导师 刘超 博士后：

摆1闭&苍产蝉辫;主持：国家自然科学基金青年项目，础搁滨顿5叠通过上调罢翱齿促进颁顿8+罢细胞耗竭介导宫颈癌放疗抵抗的机制研究

摆2闭&苍产蝉辫;主持：国家资助博士后研究人员计划叠档，基于单细胞转录组测序探索基质型颁础贵通过狈搁骋1/贰谤产叠3促进宫颈癌放疗抵抗的机制研究

[3] 主持：中国博士后基金面上项目，颁础贵来源罢翱搁1础滨笔2促进宫颈癌放疗抵抗的分子机制和干预策略研究

代表性研究成果：

[1] MA MW*, YANG K W, GAO X S, et al. Enhancing outcomes in metastatic renal cell carcinoma: Integrating precision radiotherapy with targeted therapy and anti-PD-1 immunotherapy [J]. Urol Oncol, 2025. DOI: 10.1016/j.urolonc.2025.03.016

[2] Ma MW*, Wang K*, Gao XS#, Zhu TZ, Li HZ, Shen Q, Yang KW, Qiu JX#. Integration of Multiparameter MRI into Conventional Pretreatment Risk Factors to Predict Positive Surgical Margins After Radical Prostatectomy. Clin Genitourin Cancer. 2024;22(2):281-90.e1.

[3] Liu MZ*, Li XY*, Lyu F*, Gao X-S#, Chen JY, Gao Y, Xie M, Ren XY, Ma MW#（共同通讯）. Safety and efficacy of radiotherapy combined with chemotherapy for recurrent metastatic renal pelvic and ureteral carcinoma. World Journal of Urology. 2024;42(1). 

[4] Ma MW*, Gao XS#, Zhang ZY, Shang SY, Jin L, Liu PL, Lv F, Ni W, Han YC, Zong H. Extracting laboratory test information from paper-based reports. BMC Medical Informatics and Decision Making. 2023;23(1).

[5] Ma MW*, Li HZ*, Gao XS#, Liu MZ, Yin H, Yang KW, Chen JY, Ren XY, Wang D#. Outcomes of High-Dose Stereotactic Ablative Radiotherapy to All/Multiple Sites for Oligometastatic Renal Cell Cancer Patients. Curr Oncol. 2022;29(10):7832-41. 

[6] Ma MW*,Gao XS#, Lyu F, Gu XB, Yin H, Li HZ, Li XY, Qi X, Bai Y, Chen JY. Development of a nomogram predicting metastatic disease and the assessment of NCCN, AUA and EAU guideline recommendations for bone imaging in prostate cancer patients. World J Urol. 2021;39(6):1815-23. 

联合培养导师 张艺宝 北大肿瘤医院放疗教研室副主任、正高工、博导：

[1] Yan Li#, Weiguang Li#, Chao Yang, Shutong Yu, Cheng Chang, Chong Xu, Mingqing Wang, Kaiwen Li*, Lisheng Geng*, Yibao Zhang*. A machine-learning-based dual-energy CT elemental decomposition method and its physical-biological impacts on carbon ion therapy. Medical Physics 2025 Accepted

[2] Lekang Chen#, Shutong Yu#, Yan Chen#, Xiang Wei, Junqian Yang, Chong Guo, Wenjie Zeng, Chao Yang, Jueye Zhang, Tian Li, Chen Lin, Xiaoyun Le*, Yibao Zhang*. Virtual monochromatic image-based automatic segmentation strategy using deep learning method. Physica Medica 2025;134:104986

[3] Junfeng Qi#, Shutong Yu#, Zhengkun Dong, Jiang Liu, Juan Deng, Guojian Mei, Chuou Yin, Qiao Li, Tian Li, Shi Wang*, Yibao Zhang*. Hybrid modality dual-energy imaging aggregating complementary advantages of kV-CT and MV-CBCT: concept proposal and clinical validation. Physics in Medicine and Biology 2024;69:215005

[4] Yuliang Huang#, Zhengkun Dong#, Hao Wu#, Chenguang Li, Hongjia Liu, Yibao Zhang*. Deep-learning based synthetization of real-time in-treatment 4D images using surface motion and pre-treatment images: a proof-of-concept study. Medical Physics 2022;49(11):7016-7024.

[5] Chenguang Li#, Shutong Yu#, Junyue Shen#, Baosheng Liang, Xinhui Fu, Ling Hua, Huimin Hu, Ping Jiang, Runhong Lei, Ying Guan, Tian Li, Quanfu Li*, Anhui Shi*, Yibao Zhang*. Clinical association between plan complexity and the local-recurrence-free survival of non-small-cell lung cancer patients receiving stereotactic body radiation therapy. Physica Medica 2024;122:103377

[6] Chenguang Li#, Li Zhou#, Jun Deng, Hao Wu, Ruoxi Wang, Fei Wang, Kaining Yao, Chen Chen, Tianye Niu*, Yibao Zhang*. A generalizable new figure of merit for dose optimization in dual energy cone beam CT scanning protocols. Physics in Medicine and Biology 2023;68:185021

[7] Zhengkun Dong#, Shutong Yu#, Adam Szmul, Jingyuan Wang, Junfeng Qi, Hao Wu, Junyu Li, Zihong Lu, Yibao Zhang*. Simulation of a new respiratory phase sorting method for 4D-imaging using optical surface information towards precision radiotherapy. Computers in Biology and Medicine 2023;162: 107073

[8] Chenguang Li#, Xiaofan Li#, Jing You#, Baosheng Liang, Xing Su, Yuliang Huang, Yi Chen, Qiaoqiao Hu, Jun Deng, Haiyang Wang, Yichen Pu, Hongjia Liu, Yanan Ma, Weihu Wang*, Hao Wu*, Yibao Zhang*. Impact of radiation source activity on short- and long-term outcomes of cervical carcinoma patients treated with high-dose-rate brachytherapy: A retrospective cohort study. Gynecologic Oncology 2020;15(2):365-372

联合培养导师 刘超 博士后：

[1] Liu Chao#, Zhang Min#, Yan Xinlong#, Ni Yanli#, Gong Yandong, Wang Cong, Zhang Xiaoling, Wan Lingfei, Yang Hui, Ge Chen, Li Yunqiao, Zou Wenxue, Huang Rui, Li Xiaohui, Sun Bing, Liu Bing*, Yue Jinbo*, Yu Jinming*. Single-cell dissection of cellular and molecular features underlying human cervical squamous cell carcinoma initiation and progression. Science Advances. 2023;9(4):eadd8977.

[2] Liu Chao, Li Xiaohui, Huang Qingyu, Zhang Min, Lei Tianyu, Wang Fuhao, Zou Wenxue, Huang Rui, Hu Xiaoyu, Wang Cong, Zhang Xiaoling, Sun Bing, Xing Ligang*, Yue Jinbo*, Yu Jinming*. Single-cell RNA-sequencing reveals radiochemotherapy-induced innate immune activation and MHC-II upregulation in cervical cancer. Signal Transduction and Targeted Therapy. 2023;8(1):44.

[3] Huang Qingyu#, Yang Wenhui#, Wang Fuhao#, Huang Rui#, Wang Qian, Li Xiaohui, Lei Tianyu, Yue Shengqin, Zou Wenxue, An Qi, Yue Jinbo*, Hu Qinyong*, Liu Chao*. SELP+ TEC: CD8+ T cell crosstalk associates with improved radiotherapy efficacy in cervical cancer. Molecular Cancer. 2025;24(1):41.

[4] Liu Chao, Yu Hao, Huang Rui, Lei Tianyu, Li Xiaohui, Liu Ming, Huang Qingyu, Du Qilian, Xing Ligang*, Yu Jinming*. Radioimmunotherapy-induced intratumoral changes in cervical squamous cell carcinoma at single-cell resolution. Cancer Communications (Lond). 2022;42(12):1407-1411.

[5] Wang Fuhao#, Yue Shengqin#, Huang Qingyu#, Lei Tianyu, Li Xiaohui, Wang Cong*, Yue Jinbo*, Liu Chao*. Cellular heterogeneity and key subsets of tissue-resident memory T cells in cervical cancer. NPJ Precision Oncology. 2024;8(1):145.