Evaluation of radiomics and radiologic signatures for diagnosis and clinical outcomes in pancreatic adenocarcinoma and pancreatic neuroendocrine: A pilot study [0.03%]
放射组学和影像标记物在胰腺导管腺癌和神经内分泌肿瘤诊断及临床预后中的价值：一项初步研究
Robert Cg Martin nd,Marc W Fromer,Jacob Wh Gordon et al.
Robert Cg Martin nd et al.
BackgroundBiopsy is the only definitive method for diagnosing pancreatic ductal adenocarcinoma(PDAC) in the preoperative setting. With the increasing use of neoadjuvant therapy, alternative diagnostic modalities would aid in cases where fin...
Risk-stratification potential of inflammatory and nutritional biomarkers in gastric cancer: Insights from a propensity score-matched analysis [0.03%]
胃癌中炎症和营养生物标志物的风险分层潜力：来自倾向性评分匹配分析的见解
Mahmut Kaan Demircioglu,Zeynep Gul Demircioglu,Muhammed Tahir Akca
Mahmut Kaan Demircioglu
Background/AimThis study aimed to evaluate the discriminatory performance of routinely accessible hematological, inflammatory, and nutritional biomarkers in differentiating patients with gastric cancer (GC) from healthy controls, and to exa...
Gene expression profiling of ovarian cancer reveals candidate diagnostic and prognostic biomarkers: An integrated bioinformatics approach [0.03%]
基因表达谱分析发现卵巢癌的候选诊断及预后标志物：综合生物信息学方法
Michael Woode,Mark Akuamoah Appah,Emmanuel Kpalakuso Alhassan et al.
Michael Woode et al.
BackgroundOvarian cancer remains one of the most lethal gynecological malignancies, largely due to delayed diagnosis and limited effectiveness of current biomarkers. Identifying candidate biomarkers through integrated gene expression analys...
A novel diagnostic model for early-stage high-grade serous ovarian cancer based on serum tRNA-derived fragments [0.03%]
基于血液tRNA衍生片段的早期阶段高级别浆液性卵巢癌诊断模型
Xueyuan Zhao,Weijia Wen,Yan Jia et al.
Xueyuan Zhao et al.
Early detection of ovarian cancer, particularly high-grade serous ovarian cancer (HGSOC), remains challenging due to the lack of reliable biomarkers. This study investigated the potential of tRNA-derived small RNAs (tsRNAs) as non-invasive ...
A causal association between Epstein-Barr virus infection and lung cancer: A two-sample Mendelian Randomization study [0.03%]
EB病毒与肺癌的因果关系：两样本孟德尔随机化研究
Jia Wang,Kai Wang,Zhishang Wang
Jia Wang
BackgroundThe association between Epstein-Barr virus (EBV) and lung cancer risk remains controversial. Here, we used a two-sample Mendelian randomization (MR) analysis to test the causal relationship between EBV and lung cancer.MethodsData ...
In silico analysis suggests ELL2 as a survival-associated cross-tissue biomarker in gastric cancer [0.03%]
基于计算的分析表明ELL2是胃癌中的一个与生存相关的跨组织生物标志物
Kiarash Zare,Zahra Salehi,Ali Reza Morovat et al.
Kiarash Zare et al.
BackgroundThe main aim of this study is to identify prognostic biomarkers through integrating bioinformatics analysis in gastric cancer, which is a significant global health challenge.MethodsGene expression datasets related to blood, tissue...
The clinical assessment of miR-34a and miR-135b panel as promising diagnostic biomarkers predict the risk of colorectal cancer: A case-control study [0.03%]
临床评估miR-34a和miR-135b作为有潜力的诊断生物标志物预测结直肠癌发病风险：一项病例对照研究
Roya Karami,Elaheh Najafi,Anahita Babaei et al.
Roya Karami et al.
BackgroundmiRNAs are of interest due to have been involved in cancers such as colorectal cancer (CRC).ObjectiveTo explore the expression levels of miRNA-34a and miRNA-135b and whether they can be potential biomarker for early diagnosis of C...
Integrative multi-omics analysis-based Mendelian randomization identifies association of DNA repair-related genes with oral cancer [0.03%]
基于孟德尔随机化的整合多组学分析鉴定出DNA修复相关基因与口腔癌的关联
Jingbo Wang,Weiqing Tang,Weilong Ding et al.
Jingbo Wang et al.
BackgroundThis study aimed to identify DNA repair-related genes causally affecting OCC risk by integrating multi-omics data using summary data-based Mendelian randomization (SMR).MethodsSMR analyses were performed using GWAS, mQTL, eQTL, an...
Stage-specific biomarkers in triple-negative breast cancer: Preliminary findings from bioinformatics approaches [0.03%]
基于生物信息学方法的三阴性乳腺癌阶段特异性标志物的初步研究发现
Faeze Shahraki,Azadeh Meshkini,Elham Nazari
Faeze Shahraki
BackgroundIntegrated bioinformatics approaches were used to identify stage-specific candidate genes and potential drug targets in triple-negative breast cancer (TNBC).MethodsMicroarray (164 early-stage, 33 advanced-stage, and 53 normal samp...