个人简介
李连煌，博士，副研究员，硕士生导师，主要从事多光子显微成像技术研发及其在肿瘤诊断中的应用研究，主持/合作主持多项省级科研项目，参与完成“863计划”、“973计划”、以及国家自然科学基金等多个国家级、省部级项目的研究工作，以第一作者/通讯作者发表SCI收录期刊论文43篇，主要研究成果发表在Nature Communications, BMC Medicine, Theranostics, European Journal of Cancer, International Journal of Biological Sciences, Cellular Oncology, Laboratory Investigation, IEEE Journal of Selected Topics in Quantum Electronics, APL Photonics, Biomedical Optics Express,Journal of Biophotonics, Journal of Biomedical Optics等国际学术期刊，获得2项国家发明专利。
Email: lhli@fjnu.edu.cn
研究方向
多光子显微成像技术及其应用研究
代表性论文
1. Xingxin Huang, Fangmeng Fu, Wenhui Guo, Deyong Kang, Xiahui Han, Liqin Zheng, Zhenlin Zhan, Chuan Wang, Qingyuan Zhang, Shu Wang, Shunwu Xu, Jianli Ma*, Lida Qiu*, Jianxin Chen*, and Lianhuang Li*. Prognostic significance of collagen signatures at breast tumor boundary obtained by combining multiphoton imaging and imaging analysis. Cellular Oncology, 2023.
2. Lianhuang Li, Shichai Hong, Deyong Kang, Xingxin Huang, Shichao Zhang, Zhenlin Zhan, Yongjian Zhou, and Jianxin Chen. Two-photon imaging reveals histopathological changes in gastric tumor microenvironment induced by neoadjuvant treatment. Biomedical Optics Express, 2023, 14: 5085-5096.
3. Lianhuang Li, Xingxin Huang, Shichao Zhang, Zhenlin Zhan, Deyong Kang, Guoxian Guan, Shuoyu Xu, Yongjian Zhou, and Jianxin Chen. Rapid and label-free detection of gastrointestinal stromal tumor via a combination of two-photon microscopy and imaging analysis. BMC Cancer, 2023, 23: 38.
4. Xingxin Huang, Yuan-E Lian, Lida Qiu, Xunbin Yu, Jikui Miao, Shichao Zhang, Zheng Zhang, Xiong Zhang, Jianxin Chen, Yannan Bai*, and Lianhuang Li*. Quantitative assessment of hepatic steatosis using label-free multiphoton imaging and customized image processing program. Laboratory Investigation, 2023, 103: 100223.
5. Xingxin Huang, Yuan-E Lian, Lida Qiu, Xunbin Yu, Zhenlin Zhan, Zheng Zhang, Xiong Zhang, Hongxin Lin, Shuoyu Xu, Jianxin Chen, Yannan Bai*, and Lianhuang Li*. Detection of fibrotic changes in the progression of liver diseases by label-free multiphoton imaging. Journal of Biophotonics, 2023, 16: e202300153.
6. Jiajia He, Deyong Kang, Meifang Xu, Zhonghua Han, Wenhui Guo, Fangmeng Fu, Lida Qiu, Liqin Zheng, Gangqin Xi, Wei Wang, Wenjiao Ren, Xiahui Han, Haohua Tu, Lianhuang Li*, Chuan Wang*, and Jianxin Chen*. Combining the guidelines and multiphoton imaging methods to improve the prognostic value of tumor-infiltrating lymphocytes in breast cancer. Journal of Biophotonics, 2023, 16: e202300060.
7. Zhonghua Han, Xingxin Huang, Deyong Kang,Fangmeng Fu,Shichao Zhang,Zhenlin Zhan, Jianxin Chen, Lianhuang Li*, and Chuan Wang*. Detection of pathological response of axillary lymph node metastasis after neoadjuvant chemotherapy in breast cancer using multiphoton microscopy. Journal of Biophotonics, 2023, 16: e202200274.
8. Jiajia He, Deyong Kang, Tingfeng Shen, Liqin Zheng, Zhenlin Zhan, Gangqin Xi, Wenjiao Ren, Zhong Chen, Lida Qiu, Shuoyu Xu, Lianhuang Li*, and Jianxin Chen*. Label-free detection of invasive micropapillary carcinoma of the breast using multiphoton microscopy. Journal of Biophotonics, 2023, 16: e202200224.
9. Lida Qiu, Deyong Kang, Chuan Wang, Wenhui Guo, Fangmeng Fu, Qingxiang Wu, Gangqin Xi, Jiajia He, Liqin Zheng, Qingyuan Zhang, Xiaoxia Liao, Lianhuang Li*, Jianxin Chen*, and Haohua Tu*. Intratumor graph neural network recovers hidden prognostic value of multi-biomarker spatial heterogeneity. Nature Communications, 2022, 13: 4250.
10. Gangqin Xi, Lida Qiu, Shuoyu Xu, Wenhui Guo, Fangmeng Fu, Deyong Kang, Liqin Zheng, Jiajia He, Qingyuan Zhang, Lianhuang Li*, Chuan Wang*, and Jianxin Chen*. Computer-assisted quantification of tumor-associated collagen signatures to improve the prognosis prediction of breast cancer. BMC Medicine, 2021, 19: 273.
11. Gangqin Xi, Wenhui Guo, Deyong Kang, Jianli Ma, Fangmeng Fu, Lida Qiu, Liqin Zheng, Jiajia He, Na Fang, Jianhua Chen, Jingtong Li, Shuangmu Zhuo, Xiaoxia Liao, Haohua Tu, Lianhuang Li*, Qingyuan Zhang*, Chuan Wang*, Stephen A. Boppart*, and Jianxin Chen*. Large-scale tumor-associated collagen signatures identify high-risk breast cancer patients. Theranostics, 2021, 11: 3229-3243.
12. Jiajia He, Fangmeng Fu, Wei Wang, Gangqin Xi, Wenhui Guo, Liqin Zheng, Wenjiao Ren, Lida Qiu, Xingxin Huang, Chuan Wang, Lianhuang Li*, Deyong Kang*, and Jianxin Chen*. Prognostic value of tumour-infiltrating lymphocytes based on the evaluation of frequency in patients with oestrogen receptor-positive breast cancer. European Journal of Cancer, 2021, 154: 217-226.
13. Gangqin Xi, Jiajia He, Deyong Kang, Shuoyu Xu, Wenhui Guo, Fangmeng Fu, Yulan Liu, Liqin Zheng, Lida Qiu, Lianhuang Li*, Chuan Wang*, and Jianxin Chen*. Nomogram model combining macro and micro tumor-associated collagen signatures obtained from multiphoton images to predict the histologic grade in breast cancer. Biomedical Optics Express, 2021, 12: 6558-6570.
14. Lianhuang Li, Zhonghua Han, Lida Qiu, Deyong Kang, Zhenlin Zhan, Haohua Tu, and Jianxin Chen. Label-free multiphoton imaging to assess neoadjuvant therapy responses in breast carcinoma. International Journal of Biological Sciences, 2020, 16: 1376-1387.
15. Lianhuang Li, Zhonghua Han, Lida Qiu, Deyong Kang, Zhenlin Zhan, Haohua Tu, and Jianxin Chen. Evaluation of breast carcinoma regression after preoperative chemotherapy by label-free multiphoton imaging and image analysis. Journal of Biophotonics, 2020, 13: e201900216.
16. Lianhuang Li, Deyong Kang, Changyin Feng, Shuangmu Zhuo, Haohua Tu, Yongjian Zhou, and Jianxin Chen. Label-free assessment of premalignant gastric lesions using multimodal nonlinear optical microscopy. IEEE Journal of Selected Topics in Quantum Electronics, 2019, 25: 7200806.
17. Lianhuang Li, Deyong Kang, Zicheng Huang, Zhenlin Zhan, Changyin Feng, Yongjian Zhou, Haohua Tu, Shuangmu Zhuo, and Jianxin Chen. Multimodal multiphoton imaging for label-free monitoring of early gastric cancer. BMC Cancer, 2019, 19: 295.
18. Lianhuang Li, Zhifen Chen, Xingfu Wang, Xing Liu, Weizhong Jiang, Shuangmu Zhuo, Guoxian Guan, and Jianxin Chen. Visualization of tumor response to neoadjuvant therapy for rectal carcinoma by nonlinear optical imaging. IEEE Journal of Selected Topics in Quantum Electronics, 2016, 22: 6800206.
19. Lianhuang Li, Zhifen Chen, Xingfu Wang, Hongsheng Li, Weizhong Jiang, Shuangmu Zhuo, Guoxian Guan, and Jianxin Chen. Detection of morphologic alteration in rectal carcinoma following preoperative radiochemotherapy based on multiphoton microscopy. BMC Cancer, 2015, 15: 142.
20. Lianhuang Li, Zhifen Chen, Xingfu Wang, Shuangmu Zhuo, Hongsheng Li, Weizhong Jiang, Guoxian Guan, and Jianxin Chen. Assessment of colloid response by nonlinear optical microscopy after preoperative radiochemotherapy for rectal carcinoma. Journal of Biomedical Optics, 2015, 20: 051009.
21. Lianhuang Li, Weizhong Jiang, Yinghong Yang, Zhifen Chen, Changyin Feng, Hongsheng Li, Guoxian Guan, and Jianxin Chen. Identification of dirty necrosis in colorectal carcinoma based on multiphoton microscopy. Journal of Biomedical Optics, 2014, 19: 066008.
科研项目
1. 福建省自然科学基金项目，胃癌治疗效果评估的无标记多模式多光子成像研究，2023/08-2026/08，主持
2. 科技创新联合资金项目，基于多光子活检和多组学评估放射性肠纤维化的防治机制，2020/09-2023/09，合作主持
3. 国家自然科学基金面上项目，基于拉曼光谱与多光子显微镜联用系统的肺癌循环肿瘤细胞检测研究，2020/01-2023/12，参与
4. 福建省自然科学基金项目，多光子显微技术用于直肠癌术前放化疗疗效评估的研究，2019/07-2022/06，主持
5. 科技创新联合资金项目，基于非线性光学成像和定量蛋白组学筛选直肠癌新辅助放化疗后保器官策略候选者，2017/12-2020/12，合作主持
6. 国家自然科学基金青年项目，间充质干细胞经后肠系膜动脉灌注联合吡非尼酮治疗大鼠直肠放疗相关纤维化的实验研究，2017/01-2019/12，参与
7. 国家重点基础研究发展计划(973计划)，生物医学信息纳米分辨的光学表征，2015/01-2019/12，参与
8. 国家高技术研究发展计划(863计划)，活体脑多光子显微结构与功能成像关键技术研究，2015/01-2017/12，参与
获奖成果
1. 福建省优秀博士学位论文
2. 福建师范大学优秀毕业研究生
