日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Integrative multi-omics profiling deciphers tumor microenvironment heterogeneity and immunotherapy vulnerabilities in lung neuroendocrine carcinomas

整合多组学分析揭示肺神经内分泌癌的肿瘤微环境异质性和免疫治疗脆弱性

Zhang, Zicheng; Zhai, Modi; Bao, Siqi; Sun, Xujie; Chen, Ruanqi; Wang, Bingning; Yang, Fan; Yang, Lin; Zhou, Meng

Proteogenomic Characterization of High-Grade Lung Neuroendocrine Carcinoma Deciphers Molecular Diversity and Potential Biomarkers of Different Histological Subtypes in Chinese Population.

高级别肺神经内分泌癌的蛋白质基因组学特征揭示了中国人群中不同组织学亚型的分子多样性和潜在生物标志物

Zhang Zicheng, Wu Xi, Bao Siqi, Sun Xujie, Yang Fan, Zhang Yibo, Yang Zijian, Zhang Liujin, Chen Ruanqi, Xing Puyuan, Li Junling, Zhou Meng, Yang Lin

Eugenol alleviates renal ischemia-reperfusion injury induced-endoplasmic reticulum stress via activating Sestrin2.

丁香酚通过激活 Sestrin2 来减轻肾脏缺血再灌注损伤引起的内质网应激

Liu Jingwei, Sun Xujie, Liang Junfeng, Song Shiqiang

Rational strategies for improving the efficiency of design and discovery of nanomedicines

提高纳米药物设计和发现效率的合理策略

Shan, Xiaoting; Cai, Ying; Zhu, Binyu; Zhou, Lingli; Sun, Xujie; Xu, Xiaoxuan; Yin, Qi; Wang, Dangge; Li, Yaping

Histopathology images-based deep learning prediction of prognosis and therapeutic response in small cell lung cancer

基于组织病理图像的深度学习预测小细胞肺癌的预后和治疗反应

Zhang, Yibo; Yang, Zijian; Chen, Ruanqi; Zhu, Yanli; Liu, Li; Dong, Jiyan; Zhang, Zicheng; Sun, Xujie; Ying, Jianming; Lin, Dongmei; Yang, Lin; Zhou, Meng

Spatial Transcriptome-Wide Profiling of Small Cell Lung Cancer Reveals Intra-Tumoral Molecular and Subtype Heterogeneity.

小细胞肺癌的空间转录组分析揭示了肿瘤内分子和亚型异质性

Zhang Zicheng, Sun Xujie, Liu Yutao, Zhang Yibo, Yang Zijian, Dong Jiyan, Wang Nan, Ying Jianming, Zhou Meng, Yang Lin

Pathological response and tumor stroma immunogenic features predict long-term survival in non-small cell lung cancer after neoadjuvant chemotherapy

新辅助化疗后,病理反应和肿瘤基质免疫原性特征可预测非小细胞肺癌患者的长期生存率。

Wang, Shuaibo; Sun, Xujie; Dong, Jiyan; Liu, Li; Zhao, Hao; Li, Renda; Yang, Zhenlin; Cheng, Na; Wang, Yalong; Fu, Li; Yi, Hang; Lv, Zhuoheng; Huo, Huandong; Jin, Donghui; Mao, Yousheng; Yang, Lin

Multimodality deep learning radiomics predicts pathological response after neoadjuvant chemoradiotherapy for esophageal squamous cell carcinoma

多模态深度学习放射组学预测食管鳞状细胞癌新辅助放化疗后的病理反应

Liu, Yunsong; Wang, Yi; Hu, Xinyang; Wang, Xin; Xue, Liyan; Pang, Qingsong; Zhang, Huan; Ma, Zeliang; Deng, Heping; Yang, Zhaoyang; Sun, Xujie; Men, Yu; Ye, Feng; Men, Kuo; Qin, Jianjun; Bi, Nan; Zhang, Jing; Wang, Qifeng; Hui, Zhouguang

Evaluation of Prognosis in Patients with Lung Adenocarcinoma with Atypical Solid Nodules on Thin-Section CT Images

薄层CT图像上伴有非典型实性结节的肺腺癌患者预后评估

Liu, Mengwen; Yang, Lin; Sun, Xujie; Liang, Xin; Li, Cong; Feng, Qianqian; Li, Meng; Zhang, Li

MR radiomics predicts pathological complete response of esophageal squamous cell carcinoma after neoadjuvant chemoradiotherapy: a multicenter study

磁共振放射组学预测新辅助放化疗后食管鳞状细胞癌的病理完全缓解:一项多中心研究

Liu, Yunsong; Wang, Yi; Wang, Xin; Xue, Liyan; Zhang, Huan; Ma, Zeliang; Deng, Heping; Yang, Zhaoyang; Sun, Xujie; Men, Yu; Ye, Feng; Men, Kuo; Qin, Jianjun; Bi, Nan; Wang, Qifeng; Hui, Zhouguang