Machine learning models for the identification of prognostic and predictive cancer biomarkers: a systematic review

Q Al-Tashi, MB Saad, A Muneer, R Qureshi… - International journal of …, 2023 - mdpi.com
The identification of biomarkers plays a crucial role in personalized medicine, both in the
clinical and research settings. However, the contrast between predictive and prognostic …

MicroRNAs and their influence on the ZEB family: mechanistic aspects and therapeutic applications in cancer therapy

M Ashrafizadeh, HL Ang, ER Moghadam… - Biomolecules, 2020 - mdpi.com
Molecular signaling pathways involved in cancer have been intensively studied due to their
crucial role in cancer cell growth and dissemination. Among them, zinc finger E-box binding …

Radiological tumour classification across imaging modality and histology

J Wu, C Li, M Gensheimer, S Padda, F Kato… - Nature machine …, 2021 - nature.com
Radiomics refers to the high-throughput extraction of quantitative features from radiological
scans and is widely used to search for imaging biomarkers for the prediction of clinical …

[HTML][HTML] Green Synthesis of Superparamagnetic Iron Oxide Nanoparticles with Eucalyptus globulus Extract and Their Application in the Removal of Heavy Metals from …

K Andrade-Zavaleta, Y Chacon-Laiza… - Molecules, 2022 - mdpi.com
The green synthesis of metal oxide nanoparticles is presented as an excellent sustainable
alternative for achieving nanostructures, with potential applications. This research provides …

Host genetic diversity and genetic variations of SARS-CoV-2 in COVID-19 pathogenesis and the effectiveness of vaccination

M Delshad, MJ Sanaei… - International …, 2022 - Elsevier
The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), responsible for the
outbreak of coronavirus disease 2019 (COVID-19), has shown a vast range of clinical …

The role of genomics and proteomics in lung cancer early detection and treatment

MH Abbasian, AM Ardekani, N Sobhani, R Roudi - Cancers, 2022 - mdpi.com
Simple Summary Biomarkers for the prediction and efficacy of therapies are an urgent
necessity for lung cancer patients. In this article, we summarize genomic and proteomic …

Flavonoids Targeting the mTOR Signaling Cascades in Cancer: A Potential Crosstalk in Anti‐Breast Cancer Therapy

Y Hussain, H Khan, W Alam, M Aschner… - Oxidative Medicine …, 2022 - Wiley Online Library
Cancer is one of the leading causes of death worldwide. Breast cancer is the second
leading cause of death in women, with triple‐negative breast cancer being the most lethal …

Function of the long noncoding RNAs in hepatocellular carcinoma: classification, molecular mechanisms, and significant therapeutic potentials

A Khan, X Zhang - Bioengineering, 2022 - mdpi.com
Hepatocellular carcinoma (HCC) is the most common and serious type of primary liver
cancer. HCC patients have a high death rate and poor prognosis due to the lack of clear …

RILP inhibits tumor progression in osteosarcoma via Grb10-mediated inhibition of the PI3K/AKT/mTOR pathway

Z Wei, K Xia, D Zheng, C Gong, W Guo - Molecular Medicine, 2023 - Springer
Background Rab-interacting lysosomal protein (RILP) contains an alpha-helical coil with an
unexplored biological function in osteosarcoma. This study investigated the expression of …

Targeting PI3K/AKT/mTOR and MAPK signaling pathways in gastric cancer

DT Morgos, C Stefani, D Miricescu, M Greabu… - International Journal of …, 2024 - mdpi.com
Gastric cancer (GC) is the fourth leading cause of death worldwide, with more than 1 million
cases diagnosed every year. Helicobacter pylori represents the main risk factor, being …