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您的检索式：作者名="Mengnan Cheng"
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| 1 | An invasive zone in human liver cancer identified by Stereo-seq promotes hepatocyte–tumor cell crosstalk,local immunosuppression and tumor progression显示文摘Dissecting and understanding the cancer ecosystem,especially that around the tumor margins,which have strong implications for tumor cell infiltration and invasion,are essential for exploring the mechanisms of tumor metastasis and developing effective new treatments.Using a novel tumor border scanning and digitization model enabled by nanoscale resolution-SpaTial Enhanced REsolution Omics-sequencing(Stereo-seq),we identified a 500µm-wide zone centered around the tumor border in patients with liver cancer,referred to as“the invasive zone”.We detected strong immunosuppression,metabolic reprogramming,and severely damaged hepatocytes in this zone.We also identified a subpopulation of damaged hepatocytes with increased expression of serum amyloid A1 and A2(referred to collectively as SAAs)located close to the border on the paratumor side.Overexpression of CXCL6 in adjacent malignant cells could induce activation of the JAK-STAT3 pathway in nearby hepatocytes,which subsequently caused SAAs’overexpression in these hepatocytes.Furthermore,overexpression and secretion of SAAs by hepatocytes in the invasive zone could lead to the recruitment of macrophages and M2 polarization,further promoting local immunosuppression,potentially resulting in tumor progression.Clinical association analysis in additional five independent cohorts of patients with primary and secondary liver cancer(n=423)showed that patients with overexpression of SAAs in the invasive zone had a worse prognosis.Further in vivo experiments using mouse liver tumor models in situ confirmed that the knockdown of genes encoding SAAs in hepatocytes decreased macrophage accumulation around the tumor border and delayed tumor growth.The identification and characterization of a novel invasive zone in human cancer patients not only add an important layer of understanding regarding the mechanisms of tumor invasion and metastasis,but may also pave the way for developing novel therapeutic strategies for advanced liver cancer and other solid tumors. | Liang Wu Jiayan Yan Yinqi Bai Feiyu Chen Xuanxuan Zou Jiangshan Xu Ao Huang Liangzhen Hou Yu Zhong Zehua Jing Qichao Yu Xiaorui Zhou Zhifeng Jiang Chunqing Wang Mengnan Cheng Yuan Ji Yingyong Hou Rongkui Luo Qinqin Li Liang Wu Jianwen Cheng Pengxiang Wang Dezhen Guo Waidong Huang Junjie Lei Shang Liu Yizhen Yan Yiling Chen Sha Liao Yuxiang Li Haixiang Sun Na Yao Xiangyu Zhang Shiyu Zhang Xi Chen Yang Yu Yao Li Fengming Liu Zheng Wang Shaolai Zhou Huanming Yang Shuang Yang Xun Xu Longqi Liu Qiang Gao Zhaoyou Tang Xiangdong Wang Jian Wang Jia Fan Shiping Liu Xinrong Yang Ao Chen Jian Zhou | 2023 | Cell Research2023，33，8： | 1 |
| 2 | Spatially resolved transcriptomics: a comprehensive review of their technological advances, applications, and challenges显示文摘The ability to explore life kingdoms is largely driven by innovations and breakthroughs in technology,from the invention of the microscope 350 years ago to the recent emergence of single-cell sequencing,by which the scientific community has been able to visualize life at an unprecedented resolution.Most recently,the Spatially Resolved Transcriptomics(SRT)technologies have filled the gap in probing the spatial or even three-dimensional organization of the molecular foundation behind the molecular mysteries of life,including the origin of different cellular populations developed from totipotent cells and human diseases.In this review,we introduce recent progresses and challenges on SRT from the perspectives of technologies and bioinformatic tools,as well as the representative SRT applications.With the currently fast-moving progress of the SRT technologies and promising results from early adopted research projects,we can foresee the bright future of such new tools in understanding life at the most profound analytical level. | Mengnan Cheng Yujia Jiang Jiangshan Xu Alexios-Fotios AMentis Shuai Wang Huiwen Zheng Sunil Kumar Sahu Longqi Liu Xun Xu | 2023 | Journal of Genetics and Genomics2023，50，9： | 0 |
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