Global research trends in tumor stem cell-derived exosomes and tumor microenvironment: visualization biology analysis [0.03%]
肿瘤干细胞源性外泌体与肿瘤微环境的全球研究趋势可视化生物学分析
Ziwei Guo,Gang Wang,Zhangjun Yun et al.
Ziwei Guo et al.
Bankground: The tumor microenvironment (TME) is an internal environment composed of various cells and an extracellular matrix. Cancer stem cell-derived exosomes (CSC-Exos), as essential messengers involved in various tumo...
Cordycepin remodels the tumor microenvironment of colorectal cancer by down-regulating the expression of PD-L1 [0.03%]
虫草素通过下调PD-L1的表达重塑结直肠癌肿瘤微环境
Shaoxian Wu,Weiwei Fang,Lujun Chen et al.
Shaoxian Wu et al.
Purpose: Colorectal cancer, as a common malignant tumor, poses a serious threat to human life. Cordycepin, derived from Cordyceps militaris extract, which was established as a capable inhibitor of tumor growth. Neverthele...
Salivary metabolites as novel independent predictors of radiation pneumonitis [0.03%]
saliva代谢物作为放射性肺炎的新独立预测因子
Sachika Shiraishi,Masahiro Sugimoto,Koichi Tokuuye
Sachika Shiraishi
Purpose: Radiotherapy is an integral treatment for non-small cell lung cancer (NSCLC); however, radiation-induced toxicities such as radiation pneumonitis (RP) present a considerable challenge. Herein, we aimed to evaluat...
Emerging markers of cancer cachexia and their relationship to sarcopenia [0.03%]
癌症恶病质的新兴标志物及其与肌少症的关系
Melanie Lipshitz,J Visser,R Anderson et al.
Melanie Lipshitz et al.
Purpose: Emerging biomarkers of cancer cachexia and their roles in sarcopenia and prognosis are poorly understood. Baseline assessments of anthropometrics, sarcopenia, cachexia status and biomarkers of cachexia were measu...
Explore the alterations of downstream molecular pathways caused by ARID1A mutation/knockout in human endometrial cancer cells [0.03%]
探索ARID1A突变/敲除对人子宫内膜癌细胞下游分子通路的影响
Baoling Xing,Xiaoying Zhang,Xia Gu et al.
Baoling Xing et al.
Purpose: As one of the most common gynecologic malignancies, endometrial cancer (EC) is driven by multiple genetic alterations that may be targeted for treatments. AT-rich interaction domain 1A (ARID1A) gene mutations wer...
Establishment and validation of a novel lysosome-related gene signature for predicting prognosis and immune landscape in hepatocellular carcinoma [0.03%]
肝细胞癌预后和免疫景观的新型溶酶体相关基因特征的建立与验证
Haoling Li,Jing Li,Xiangyu Qu et al.
Haoling Li et al.
Background: Recent studies have shown that lysosomes not only provide energy for tumor cell growth, but also participate in the occurrence and development of malignant tumors by regulating various ways of tumor cell death...
Components of the JNK-MAPK pathway play distinct roles in hepatocellular carcinoma [0.03%]
JNK-MAPK通路各组分在肝细胞癌中扮演不同角色
Jijun Yu,Xinying Li,Junxia Cao et al.
Jijun Yu et al.
Purpose: Mitogen-activated protein kinases (MAPK), specifically the c-Jun N-terminal kinase (JNK)-MAPK subfamily, play a crucial role in the development of various cancers, including hepatocellular carcinoma (HCC). Howeve...
Decoding the role of aberrant RNA alternative splicing in hepatocellular carcinoma: a comprehensive review [0.03%]
异常RNA可变剪接在肝细胞癌中的作用解析：全面综述
Mengfei Sheng,Yuanyuan Zhang,Yaoyun Wang et al.
Mengfei Sheng et al.
During eukaryotic gene expression, alternative splicing of messenger RNA precursors is critical in increasing protein diversity and regulatory complexity. Multiple transcript isoforms could be produced by alternative splicing from a single ...
Jisu Chae,Jinny Choi,Junho Chung
Jisu Chae
Background: The polymeric immunoglobulin receptor (pIgR) is a transmembrane transporter of polymeric IgA through the intestinal epithelium. Its overexpression has been reported in several cancers, but its role as a diagno...
Using machine learning to identify patients at high risk of developing low bone density or osteoporosis after gastrectomy: a 10-year multicenter retrospective analysis [0.03%]
采用机器学习识别胃切除术后低骨密度或骨质疏松症高风险患者：一项十年多中心回顾性分析
Yanfei Zhu,Yuan Liu,Qi Wang et al.
Yanfei Zhu et al.
Introduction: Osteoporosis that emerges subsequent to gastrectomy poses a significant threat to the long-term health of patients. The primary objective of this investigation was to formulate a machine learning algorithm c...