Exploring the association between air pollutants and non-small cell lung cancer using network toxicology and machine learning [0.03%]
基于网络毒理学和机器学习探究大气污染物与非小细胞肺癌的关联性
Qiang Zhao,Zhiqiang Zhao,Kunpeng Du
Qiang Zhao
Background: Non-small cell lung cancer (NSCLC) is a leading cause of cancer-related mortality worldwide. The urgent need to understand its risk factors and develop effective treatment strategies drives ongoing research in...
Chlormethine gel effectiveness as second-line treatment in mycosis fungoides: a single-centre retrospective study [0.03%]
氯甲基氮芥凝胶治疗蕈样肉芽肿的二线疗效研究：一项单中心回顾性研究
Corrado Zengarini,Alba Guglielmo,Ludovica Vocale et al.
Corrado Zengarini et al.
Background: Chlormethine gel is a promising treatment for early-stage mycosis fungoides (MF) with strong efficacy and manageable side effects. This study evaluates its effectiveness as a second-line treatment in patients ...
Targeting ferroptosis by noncoding RNAs as a novel therapeutic strategy for hepatocellular carcinoma [0.03%]
靶向铁死亡作为非编码RNA治疗肝细胞癌的新策略
Yaser Mohammadi,Mohammad Ali Mahdiabadi,Zahra Ourang et al.
Yaser Mohammadi et al.
Hepatocellular carcinoma (HCC), the most common primary liver cancer, is recognized as the third leading cause of cancer-related deaths. Late diagnosis and limited treatment efficacy are among the major challenges of HCC. Recent studies hav...
Selection of reference genes and proteins for expression studies in pediatric gliomas [0.03%]
儿童胶质瘤表达研究中参照基因和蛋白的选择
Sonia Nava-Salazar,Oscar A Pérez-González,Noemí Baranda-Ávila et al.
Sonia Nava-Salazar et al.
A critical aspect of gene and protein expression analysis is the selection of stable reference genes and proteins. These references are essential for normalizing data and enabling accurate comparisons between samples. In today's context, mo...
Peptide antibody tools to dissect specific functions of eIF4A paralogs in cancer [0.03%]
用于解剖癌症中eIF4A旁系同源物的特异性功能的肽抗体工具
Shobhit Srivastava,Azeezat Osikoya,David Terrero et al.
Shobhit Srivastava et al.
Eukaryotic translation initiation factors (eIFs) are key regulators of messenger RNA (mRNA) translation, a process highly dysregulated in cancer. Among these paralogs, eIF4A1 and eIF4A2 are closely related DEAD box mRNA helicases that, desp...
Natural products as therapeutic interventions for inflammation-mediated cancer [0.03%]
天然产物作为炎症介导的癌症治疗干预手段
Srabaita Roy,Ranjit Shaw,Akanksha Pandey et al.
Srabaita Roy et al.
Inflammation serves as the body's immune response mechanism against noxious irritants, ranging from removing factors causing injury to regenerating damaged tissue. Chronic inflammation, in particular, has emerged as a crucial contributor to...
Caspase-3 deficiency inhibits the development and anti-tumor response of bone marrow-derived dendritic cells [0.03%]
半胱天冬酶-3缺乏抑制骨髓来源树突状细胞的发育及其抗肿瘤效应
Jinqiang Liu,Kunli Du,Yaozhen Chen et al.
Jinqiang Liu et al.
This study investigated the impact of Caspase-3 gene deletion on bone marrow-derived dendritic cells (BMDCs) and their anti-tumor functions. BMDCs were generated in vitro using GM-CSF and IL-4 from Caspase-3 knockout (Casp3-KO) and heterozy...
Predictive value of immunomodulatory-related genes for the prognosis of lung adenocarcinoma based on bioinformatics analysis [0.03%]
基于生物信息学分析的免疫调节相关基因在肺癌预后预测中的价值
Luyu Yang,Zhimin Cao,Xing Yuanfang et al.
Luyu Yang et al.
Lung adenocarcinoma (LUAD), characterized by its heterogeneity and high invasiveness, remains a challenging disease despite significant advancements in immunotherapy. Our study aimed to elucidate the expression differences of immunomodulato...
Retraction Note: Decoding core genes and intercellular communication in osteosarcoma: bioinformatic investigation and immune cell profiling for diagnostic and therapeutic insights [0.03%]
撤回 notice: 解码骨肉瘤中的核心基因和细胞间通讯：生物信息学调查和免疫细胞特征分析以揭示诊断和治疗见解
Kuan Rong,Haoming Kuang,Liang Ou et al.
Kuan Rong et al.
Machine learning-Based integration develops a metastasis-Related rhythmic gene signature for improving outcomes in pancreatic cancer [0.03%]
基于机器学习的整合分析开发了胰腺癌转移相关节律基因标志物以改善预后
Zhiyuan Cheng,Chuting Yu,Bin Quan et al.
Zhiyuan Cheng et al.