Deep learning approaches for breast cancer detection in histopathology images: A review [0.03%]
基于深度学习的乳腺癌组织病理图像检测方法研究综述
Lakshmi Priya C V,Biju V G,Vinod B R et al.
Lakshmi Priya C V et al.
Background: Breast cancer is one of the leading causes of death in women worldwide. Histopathology analysis of breast tissue is an essential tool for diagnosing and staging breast cancer. In recent years, there has been a...
Radiomics and artificial intelligence for risk stratification of pulmonary nodules: Ready for primetime? [0.03%]
肺结节风险分层的放射组学和人工智能：已经准备就绪？
Roger Y Kim
Roger Y Kim
Pulmonary nodules are ubiquitously found on computed tomography (CT) imaging either incidentally or via lung cancer screening and require careful diagnostic evaluation and management to both diagnose malignancy when present and avoid unnece...
Identification of key genes and signalling pathways in clear cell renal cell carcinoma: An integrated bioinformatics approach [0.03%]
透明细胞肾细胞癌中关键基因和信号通路的识别：一种综合生物信息学方法
Vinoth S,Satheeswaran Balasubramanian,Ekambaram Perumal et al.
Vinoth S et al.
Background: Clear cell Renal Cell Carcinoma (ccRCC) is one of the most prevalent types of kidney cancer. Unravelling the genes responsible for driving cellular changes and the transformation of cells in ccRCC pathogenesis...
KIAA1429-mediated RXFP1 attenuates non-small cell lung cancer tumorigenesis via N6-methyladenosine modification [0.03%]
KIAA1429介导的RXFP1通过N6-甲基腺苷修饰削弱非小细胞肺癌肿瘤发生作用
Zhixiang Zhang,Jipeng Guo,Chongwen Gong et al.
Zhixiang Zhang et al.
Background: N6-methyladenosine (m6A) modification has been associated with non-small cell lung cancer (NSCLC) tumorigenesis. Objectives: ...
Identification of Hub genes with prognostic values in colorectal cancer by integrated bioinformatics analysis [0.03%]
通过综合生物信息学分析识别具有预后价值的结直肠癌中心基因
Shan Li,Ting Li,Yan-Qing Shi et al.
Shan Li et al.
Background: Our study aimed to investigate the Hub genes and their prognostic value in colorectal cancer (CRC) via bioinformatics analysis. Methods: ...
The prognostic and antitumor roles of key genes of ferroptosis in liver hepatocellular cancer and stomach adenocarcinoma [0.03%]
铁死亡的关键基因在肝细胞癌和胃腺癌的预后和抗肿瘤作用中的研究
Wenceng Pei,Minren Jiang,Haiyan Liu et al.
Wenceng Pei et al.
Background: Liver hepatocellular cancer (LIHC) and stomach adenocarcinoma (STAD) are common malignancies with high lethal ratios worldwide. Great progress has been achieved by using diverse therapeutic strategies; however...
Bioinformatics analysis of markers based on m6A related to prognosis combined with immune invasion of rectal adenocarcinoma [0.03%]
基于m6A的预后标志物生物信息学分析结合直肠腺癌免疫侵袭
Shunkang Yan,Jiandong Zhang,Lianghe Li et al.
Shunkang Yan et al.
Background: Colorectal cancer (CRC) is a common form of cancer, with rectal cancer accounting for approximately one-third of all cases. Among rectal cancers, 95% are classified as rectal adenocarcinoma (READ). Emerging ev...
PD-1 inhibitor combined with Docetaxel exerts synergistic anti-prostate cancer effect in mice by down-regulating the expression of PI3K/AKT/NFKB-P65/PD-L1 signaling pathway [0.03%]
PD-1抑制剂通过下调PI3K/AKT/NFKB-P65/PD-L1信号通路的表达与多西他赛联用发挥抗前列腺癌的协同效应
Sixu Zhou,Baogui Wang,Yingying Wei et al.
Sixu Zhou et al.
Background: Docetaxel is a yew compound antitumor agent with accurate antitumor efficacy, but its application is limited due to the high and serious adverse effects, and finding effective combination therapy options is a ...
A risk model based on lncRNA-miRNA-mRNA gene signature for predicting prognosis of patients with bladder cancer [0.03%]
基于长非编码RNA-微小RNA-信使RNA基因特征的风险模型以预测膀胱癌患者的预后
Zhi Yi Zhao,Yin Cao,Hong Liang Wang et al.
Zhi Yi Zhao et al.
Objectives: We aimed to analyze lncRNAs, miRNAs, and mRNA expression profiles of bladder cancer (BC) patients, thereby establishing a gene signature-based risk model for predicting prognosis of patients with BC. ...
Long non-coding RNAs PTENP1, GNG12-AS1, MAGI2-AS3 and MEG3 as tumor suppressors in breast cancer and their associations with clinicopathological parameters [0.03%]
长链非编码RNA PTENP1，GNG12-AS1，MAGI2-AS3 和MEG3作为乳腺癌的肿瘤抑制因子及其与临床病理参数的关系
Luděk Záveský,Eva Jandáková,Vít Weinberger et al.
Luděk Záveský et al.
Background: Breast cancer is the most commonly occurring cancer worldwide and is the main cause of death from cancer in women. Novel biomarkers are highly warranted for this disease. ...