3篇
您的检索式：作者名="Jiachen Wan"
|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Treatment of advanced non-small cell lung cancer with driver mutations: current applications and future directions显示文摘With the improved understanding of driver mutations in non-small cell lung cancer (NSCLC), expanding the targeted therapeutic options improved the survival and safety. However, responses to these agents are commonly temporary and incomplete. Moreover, even patients with the same oncogenic driver gene can respond diversely to the same agent. Furthermore, the therapeutic role of immune-checkpoint inhibitors (ICIs) in oncogene-driven NSCLC remains unclear. Therefore, this review aimed to classify the management of NSCLC with driver mutations based on the gene subtype, concomitant mutation, and dynamic alternation. Then, we provide an overview of the resistant mechanism of target therapy occurring in targeted alternations (“target-dependent resistance”) and in the parallel and downstream pathways (“target-independent resistance”). Thirdly, we discuss the effectiveness of ICIs for NSCLC with driver mutations and the combined therapeutic approaches that might reverse the immunosuppressive tumor immune microenvironment. Finally, we listed the emerging treatment strategies for the new oncogenic alternations, and proposed the perspective of NSCLC with driver mutations. This review will guide clinicians to design tailored treatments for NSCLC with driver mutations. | Jia Zhong Hua Bai Zhijie Wang Jianchun Duan Wei Zhuang Di Wang Rui Wan Jiachen Xu Kailun Fei Zixiao Ma Xue Zhang Jie Wang | 2023 | Frontiers of Medicine2023，17，1： | 2 |
| 2 | Single-cell transcriptomic profiling reveals the tumor heterogeneity of small-cell lung cancer显示文摘Small-cell lung cancer(SCLC)is the most aggressive and lethal subtype of lung cancer,for which,better understandings of its biology are urgently needed.Single-cell sequencing technologies provide an opportunity to profile individual cells within the tumor microenvironment(TME)and investigate their roles in tumorigenic processes.Here,we performed high-precision single-cell transcriptomic analysis of~5000 individual cells from primary tumors(PTs)and matched normal adjacent tissues(NATs)from 11 SCLC patients,including one patient with both PT and relapsed tumor(RT).The comparison revealed an immunosuppressive landscape of human SCLC.Malignant cells in SCLC tumors exhibited diverse states mainly related to the cell cycle,immune,and hypoxic properties.Our data also revealed the intratumor heterogeneity(ITH)of key transcription factors(TFs)in SCLC and related gene expression patterns and functions.The non-neuroendocrine(non-NE)tumors were correlated with increased inflammatory gene signatures and immune cell infiltrates in SCLC,which contributed to better responses to immune checkpoint inhibitors.These findings indicate a significant heterogeneity of human SCLC,and intensive crosstalk between cancer cells and the TME at single-cell resolution,and thus,set the stage for a better understanding of the biology of SCLC as well as for developing new therapeutics for SCLC. | Yanhua Tian Qingqing Li Zhenlin Yang Shu Zhang Jiachen Xu Zhijie Wang Hua Bai Jianchun Duan Bo Zheng Wen Li Yueli Cui Xin Wang Rui Wan Kailun Fei Jia Zhong Shugeng Gao Jie He Carl MGay Jianjun Zhang Jie Wang Fuchou Tang | 2022 | Signal Transduction and Targeted Therapy2022，7，11： | 1 |
| 3 | Correlation of image textures of a polarization feature parameter and the microstructures of liver fibrosis tissues显示文摘Mueller matrix imaging is emerging for the quantitative characterization of pathological microstructures and is especially sensitive to fibrous structures.Liver fibrosis is a characteristic of many types of chronic liver diseases.The clinical diagnosis of liver fibrosis requires time-consuming multiple staining processes that specifically target on fibrous structures.The staining proficiency of technicians and the subjective visualization of pathologists may bring inconsistency to clinical diagnosis.Mueller matrix imaging can reduce the multiple staining processes and provide quantitative diagnostic indicators to characterize liver fibrosis tissues.In this study,a fibersensitive polarization feature parameter(PFP)was derived through the forward sequential feature selection(SFS)and linear discriminant analysis(LDA)to target on the identification of fibrous structures.Then,the Pearson correlation coeffcients and the statistical T-tests between the fiber-sensitive PFP image textures and the liver fibrosis tissues were calculated.The results show the gray level run length matrix(GLRLM)-based run entropy that measures the heterogeneity of the PFP image was most correlated to the changes of liver fibrosis tissues at four stages with a Pearson correlation of 0.6919.The results also indicate the highest Pearson correlation of 0.9996 was achieved through the linear regression predictions of the combination of the PFP image textures.This study demonstrates the potential of deriving a fiber-sensitive PFP to reduce the multiple staining process and provide textures-based quantitative diagnostic indicators for the staging of liver fibrosis. | Yue Yao Jiachen Wan Fengdi Zhang Yang Dong Lihong Chen Hui Ma | 2023 | Journal of Innovative Optical Health Sciences2023，16，5： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员