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

The result prediction of fluorescence in situ hybridization for breast cancer patients based on machine learning and deep learning models: a multicenter study

基于机器学习和深度学习模型的乳腺癌患者荧光原位杂交结果预测:一项多中心研究

Jiang, Cong; Chen, Dong; Yu, Xiao; Zhang, Shentao; Xiu, Yuting; Luo, Ningbin; Wu, Jingjing; Zhang, Xuefang; Chen, Man; Yang, Dechun; Zhu, Ziyu; Huang, Yuanxi; Ning, Shipeng; Tang, Shicong

MZB1 at the ER-immunity interface: from antibody folding to disease vulnerability in autoimmunity, inflammation, and cancer

MZB1在内质网-免疫界面:从抗体折叠到自身免疫、炎症和癌症中的疾病易感性

Zhang, Yu; Yang, Wei; Yang, Xiaofang; Pan, Yuqing; Guo, Rong; Chen, Dong; Tang, Shicong; Zhang, Xi

Single-cell transcriptome sequencing revealing the microenvironment of breast fibroepithelial tumor

单细胞转录组测序揭示乳腺纤维上皮肿瘤的微环境

Shu, Tianrun; Wang, Jing; Yang, Fuying; Yang, Dechun; Ren, Shengnan; Zhao, Min; Lv, Yafeng; Song, Ying; Xie, Hanhui; Yang, Xuan; Jiang, Cong; Guo, Rong; Tang, Shicong

Machine learning model for predicting tertiary lymphoid structures and treatment response in triple-negative breast cancer

用于预测三阴性乳腺癌三级淋巴结构和治疗反应的机器学习模型

Lin, Yidan; Yu, Yushuai; Wang, Qing; Huang, Kaiyan; Guo, Shukai; Zhang, Jie; He, Yihui; Yu, Xin; Zhang, Jiwen; Meng, Fan; Tang, Shicong; Yuan, Junhui; Song, Chuangui

Heterogeneity of tertiary lymphoid structures predicts the response to neoadjuvant therapy and immune microenvironment characteristics in triple-negative breast cancer.

三级淋巴结构的异质性可预测三阴性乳腺癌对新辅助治疗的反应和免疫微环境特征

Wang Qing, Yu Yushuai, Wang Chenxi, Jiang Zirong, Li Jialu, Li Xiaofen, Huang Xiewei, Song Ying, Li Zhenhui, Tang Shicong, Song Chuangui

Promising future of breast cancer vaccine asking for multidisciplinary collaboration: a literature review

乳腺癌疫苗前景光明,亟需多学科合作:文献综述

Zhang, Zhanyi; Li, Mengyuan; Zhang, Lei; Wang, Maohua; Liu, Dequan; Tang, Shicong; Li, Yuhua; Fang, Xuedong; Ren, Shengnan

Prognostic factors analysis and nomogram construction of breast cancer patients lung metastases and bone metastases

乳腺癌肺转移和骨转移患者的预后因素分析及列线图构建

Feng, Mengya; Kang, Yihua; Li, Sijia; Yang, Dechun; Ren, Shengnan; Tang, Shicong; Mo, Dan; Lei, Hai

The Correlation Between Essential Amino Acid Tryptophan, Lysine, Phenylalanine and Chemotherapy of Breast Cancer

必需氨基酸色氨酸、赖氨酸、苯丙氨酸与乳腺癌化疗的相关性

Lv, Yafeng; Yang, Xuan; Song, Ying; Yang, Dechun; Zheng, Kai; Zhou, Shaoqiang; Xie, Hanhui; Guo, Rong; Tang, Shicong

Study on the correlation between B vitamins and breast cancer

关于B族维生素与乳腺癌相关性的研究

Xie, Siqi; Tan, Mingjian; Li, Hongwan; Li, Lv; Zhang, Hengyu; Wang, Qing; Li, Sijia; Yang, Jiali; Xie, Haoling; Chen, Pengyan; Liu, Dequan; Guo, Rong; Tang, Shicong

Efficacy and safety of utidelone plus capecitabine in advanced first-line therapy for metastatic breast cancer: A multicenter real-world study

乌替隆联合卡培他滨一线治疗转移性乳腺癌的疗效和安全性:一项多中心真实世界研究

Bi, Pingping; Wang, Xi; Liu, Rui; Li, Xiuqin; Wei, Shanrong; Zhao, Jiawen; Tan, Xin; Zhang, Fan; Mao, Qing; Zhang, Ying; Tang, Baoyan; Xun, Xueqiong; Guo, Rong; Zheng, Kai; Zhou, Shaoqiang; Tang, Shicong