Michelangelo Aloisio

No ORCID on file · 6 papers in corpus
lab-animal 2023
International journal of molecular sciences ·doi:10.3390/ijms242216057

Endometrial cancer (EC) is the most frequent gynecologic cancer in postmenopausal women. Pathogenetic mechanisms that are related to the onset and progression of the disease are largely still unknown. A multi-omics strategy can help identif…

other 2023
International journal of molecular sciences ·doi:10.3390/ijms241511987

Endometrial cancer (EC) is the most common gynecologic malignancy of the endometrium. This study focuses on EC and normal endometrium phosphoproteome to identify differentially phosphorylated proteins involved in tumorigenic signalling path…

diagnostic-accuracy 2022
Cancers ·doi:10.3390/cancers14246262

Endometrial cancers (ECs) are mostly adenocarcinomas arising from the inner part of the uterus. The identification of serum biomarkers, either soluble or carried in the exosome, may be useful in making an early diagnosis. We used label-free…

diagnostic-accuracy 2022
Biomedicines ·doi:10.3390/biomedicines10081857

Endometrial cancer (EC) is the most common gynecologic malignancy, and it arises in the inner part of the uterus. Identification of serum biomarkers is essential for diagnosing the disease at an early stage. In this study, we selected 44 he…

other 2022
International journal of molecular sciences ·doi:10.3390/ijms23042076

Endometrial cancer (EC) is the most frequent gynaecologic cancer in postmenopausal women. We used 2D-DIGE and mass spectrometry to identify candidate biomarkers in endometrial cancer, analysing the serum protein contents of 10 patients vers…

diagnostic-accuracy 2021
Cancers ·doi:10.3390/cancers13143639

Endometrial cancer is the most common gynecologic malignancy arising from the endometrium. Identification of serum biomarkers could be beneficial for its early diagnosis. We have used 2D-Difference In Gel Electrophoresis (2D-DIGE) coupled w…