日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

MicroRNA Expression Analysis and Biological Pathways in Chemoresistant Non-Small Cell Lung Cancer

化疗耐药性非小细胞肺癌中microRNA表达分析及生物学通路

Papadaki, Chara; Mortoglou, Maria; Boukouris, Aristeidis E; Gourlia, Krystallia; Markaki, Maria; Lagoudaki, Eleni; Koutsopoulos, Anastasios; Tsamardinos, Ioannis; Mavroudis, Dimitrios; Agelaki, Sofia

Improving Lung Cancer Screening Selection: The HUNT Lung Cancer Risk Model for Ever-Smokers Versus the NELSON and 2021 United States Preventive Services Task Force Criteria in the Cohort of Norway: A Population-Based Prospective Study

改善肺癌筛查选择:挪威队列中吸烟者适用的HUNT肺癌风险模型与NELSON标准和2021年美国预防服务工作组标准的比较:一项基于人群的前瞻性研究

Nguyen, Olav Toai Duc; Fotopoulos, Ioannis; Markaki, Maria; Tsamardinos, Ioannis; Lagani, Vincenzo; Røe, Oluf Dimitri

Promising microRNAs in pre-diagnostic serum associated with lung cancer up to eight years before diagnosis: a HUNT study

HUNT 研究发现,肺癌诊断前长达八年的血清中存在与肺癌相关的有前景的微小 RNA。

Fotopoulos, Ioannis; Nguyen, Olav Toai Duc; Nøst, Therese Haugdahl; Markaki, Maria; Lagani, Vincenzo; Mjelle, Robin; Sandanger, Torkjel Manning; Sætrom, Pål; Tsamardinos, Ioannis; Røe, Oluf Dimitri

The HUNT lung-SNP model: genetic variants plus clinical variables improve lung cancer risk assessment over clinical models

HUNT肺癌SNP模型:遗传变异结合临床变量,比临床模型更能提高肺癌风险评估的准确性

Nguyen, Olav Toai Duc; Fotopoulos, Ioannis; Nøst, Therese Haugdahl; Markaki, Maria; Lagani, Vincenzo; Tsamardinos, Ioannis; Røe, Oluf Dimitri

Corrigendum to "A validated clinical risk prediction model for lung cancer in smokers of all ages and exposure types: A HUNT study" [EBioMedicine 31 (2018) 36-46]

对“针对所有年龄段和暴露类型吸烟者的肺癌验证临床风险预测模型:HUNT 研究”的更正 [EBioMedicine 31 (2018) 36-46]

Markaki, Maria; Tsamardinos, Ioannis; Langhammer, Arnulf; Lagani, Vincenzo; Hveem, Kristian; Røe, Oluf Dimitri

Mitophagy mechanisms in neuronal physiology and pathology during ageing

线粒体自噬机制在衰老过程中神经元生理和病理中的作用

Markaki, Maria; Tsagkari, Dikaia; Tavernarakis, Nektarios

'Reduced' HUNT model outperforms NLST and NELSON study criteria in predicting lung cancer in the Danish screening trial

在丹麦筛查试验中,简化的 HUNT 模型在预测肺癌方面优于 NLST 和 NELSON 研究标准。

Røe, Oluf Dimitri; Markaki, Maria; Tsamardinos, Ioannis; Lagani, Vincenzo; Nguyen, Olav Toai Duc; Pedersen, Jesper Holst; Saghir, Zaigham; Ashraf, Haseem Gary

A Validated Clinical Risk Prediction Model for Lung Cancer in Smokers of All Ages and Exposure Types: A HUNT Study

一项针对所有年龄段和暴露类型吸烟者肺癌风险的已验证临床风险预测模型:HUNT 研究

Markaki, Maria; Tsamardinos, Ioannis; Langhammer, Arnulf; Lagani, Vincenzo; Hveem, Kristian; Røe, Oluf Dimitri

Maintenance of Proteostasis by P Body-Mediated Regulation of eIF4E Availability during Aging in Caenorhabditis elegans.

秀丽隐杆线虫衰老过程中通过 P 小体介导的 eIF4E 可用性调节来维持蛋白质稳态

Rieckher Matthias, Markaki Maria, Princz Andrea, Schumacher Björn, Tavernarakis Nektarios

Caenorhabditis elegans as a model for cancer research

秀丽隐杆线虫作为癌症研究模型

Kyriakakis, Emmanouil; Markaki, Maria; Tavernarakis, Nektarios