Kong Deguang相关文献与解析，生知库 | 链接生命科学的每一步

Identification and validation of a copper homeostasis-related gene signature for the predicting prognosis of breast cancer patients via integrated bioinformatics analysis

通过整合生物信息学分析，鉴定和验证铜稳态相关基因特征，用于预测乳腺癌患者的预后

期刊:Scientific Reports

影响因子:3.9

doi:10.1038/s41598-024-53560-9

Li, Yi; Wei, Xiuxian; Wang, Yuning; Wang, Wenzhuo; Zhang, Cuntai; Kong, Deguang; Liu, Yu

Based on whole-exome sequencing to explore the rule of Herceptin and TKI resistance in breast cancer patients

基于全外显子组测序，探讨乳腺癌患者赫赛汀和酪氨酸激酶抑制剂耐药的规律

期刊:BMC Medical Genomics

影响因子:2

doi:10.1186/s12920-023-01762-x

Guo, Liantao; Cheng, Hong; Liu, Jianhua; Shao, Weikang; Luo, Lan; Zheng, Weijie; Sun, Shengrong; Kong, Deguang; Chen, Chuang

High C-reactive protein is associated with the efficacy of neoadjuvant chemotherapy for hormone receptor-positive breast cancer

C反应蛋白水平升高与激素受体阳性乳腺癌新辅助化疗的疗效相关

期刊:Medicine

影响因子:1.4

doi:10.1097/MD.0000000000040775

Hu, Jiawei; Luo, Zixuan; Song, Junlong; Kong, Deguang; Li, Zhiyu; Chen, Chuang; Sun, Shengrong

Breast cancer heterogeneity and its implication in personalized precision therapy

乳腺癌异质性及其在个体化精准治疗中的意义

期刊:Experimental Hematology & Oncology

影响因子:13.5

doi:10.1186/s40164-022-00363-1

Guo, Liantao; Kong, Deguang; Liu, Jianhua; Zhan, Ling; Luo, Lan; Zheng, Weijie; Zheng, Qingyuan; Chen, Chuang; Sun, Shengrong

Species-Level Characterization of the Microbiome in Breast Tissues with Different Malignancy and Hormone-Receptor Statuses Using Nanopore Sequencing

利用纳米孔测序技术对不同恶性程度和激素受体状态的乳腺组织微生物组进行物种水平表征

期刊:Journal of Personalized Medicine

影响因子:3

doi:10.3390/jpm13020174

Luo, Lan; Fu, Aisi; Shi, Manman; Hu, Jiawei; Kong, Deguang; Liu, Tiangang; Yuan, Jingping; Sun, Shengrong; Chen, Chuang

Prediction of Incidence Trend of Influenza-Like Illness in Wuhan Based on ARIMA Model

基于ARIMA模型的武汉流感样疾病发病率趋势预测

期刊:Computational and Mathematical Methods in Medicine

影响因子:

doi:10.1155/2022/6322350

Meng, Pai; Huang, Juan; Kong, Deguang

Cellular Plasticity in Breast Cancer Progression and Therapy

乳腺癌进展和治疗中的细胞可塑性

期刊:Frontiers in Molecular Biosciences

影响因子:4

doi:10.3389/fmolb.2020.00072

Kong, Deguang; Hughes, Connor J; Ford, Heide L

A prognostic 10-lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients

用于预测乳腺癌患者肿瘤复发风险的10种lncRNA预后表达特征

期刊:Journal of Cellular and Molecular Medicine

影响因子:4.2

doi:10.1111/jcmm.14556

Tang, Jianing; Ren, Jiangbo; Cui, Qiuxia; Zhang, Dan; Kong, Deguang; Liao, Xing; Lu, Mengxin; Gong, Yan; Wu, Gaosong

Overexpression of ASPM, CDC20, and TTK Confer a Poorer Prognosis in Breast Cancer Identified by Gene Co-expression Network Analysis

基因共表达网络分析表明，ASPM、CDC20 和 TTK 的过表达与乳腺癌预后不良相关。

期刊:Frontiers in Oncology

影响因子:3.3

doi:10.3389/fonc.2019.00310

Tang, Jianing; Lu, Mengxin; Cui, Qiuxia; Zhang, Dan; Kong, Deguang; Liao, Xing; Ren, Jiangbo; Gong, Yan; Wu, Gaosong

SIX1 transmits signals for breast cancer progression via the ZEB1/IL6/STAT3 signaling axis.

SIX1 通过 ZEB1/IL6/STAT3 信号轴传递乳腺癌进展的信号

Identification and validation of a copper homeostasis-related gene signature for the predicting prognosis of breast cancer patients via integrated bioinformatics analysis

通过整合生物信息学分析，鉴定和验证铜稳态相关基因特征，用于预测乳腺癌患者的预后

Based on whole-exome sequencing to explore the rule of Herceptin and TKI resistance in breast cancer patients

基于全外显子组测序，探讨乳腺癌患者赫赛汀和酪氨酸激酶抑制剂耐药的规律

High C-reactive protein is associated with the efficacy of neoadjuvant chemotherapy for hormone receptor-positive breast cancer

C反应蛋白水平升高与激素受体阳性乳腺癌新辅助化疗的疗效相关

Breast cancer heterogeneity and its implication in personalized precision therapy

乳腺癌异质性及其在个体化精准治疗中的意义

Species-Level Characterization of the Microbiome in Breast Tissues with Different Malignancy and Hormone-Receptor Statuses Using Nanopore Sequencing

利用纳米孔测序技术对不同恶性程度和激素受体状态的乳腺组织微生物组进行物种水平表征

Prediction of Incidence Trend of Influenza-Like Illness in Wuhan Based on ARIMA Model

基于ARIMA模型的武汉流感样疾病发病率趋势预测

Cellular Plasticity in Breast Cancer Progression and Therapy

乳腺癌进展和治疗中的细胞可塑性

A prognostic 10-lncRNA expression signature for predicting the risk of tumour recurrence in breast cancer patients

用于预测乳腺癌患者肿瘤复发风险的10种lncRNA预后表达特征

Overexpression of ASPM, CDC20, and TTK Confer a Poorer Prognosis in Breast Cancer Identified by Gene Co-expression Network Analysis

基因共表达网络分析表明，ASPM、CDC20 和 TTK 的过表达与乳腺癌预后不良相关。