Immune cells in head-and-neck tumor microenvironments
E Jumaniyazova, A Lokhonina, D Dzhalilova… - Journal of Personalized …, 2022 - mdpi.com
Head-and-neck cancers constitute a heterogeneous group of aggressive tumors with high
incidence and low survival rates, collectively being the sixth most prevalent cancer type …
incidence and low survival rates, collectively being the sixth most prevalent cancer type …
[HTML][HTML] Statistics and network-based approaches to identify molecular mechanisms that drive the progression of breast cancer
Breast cancer (BC) is one of the most malignant tumors and the leading cause of cancer-
related death in women worldwide. So, an in-depth investigation on the molecular …
related death in women worldwide. So, an in-depth investigation on the molecular …
Computational identification of host genomic biomarkers highlighting their functions, pathways and regulators that influence SARS-CoV-2 infections and drug …
The pandemic threat of COVID-19 has severely destroyed human life as well as the
economy around the world. Although, the vaccination has reduced the outspread, but …
economy around the world. Although, the vaccination has reduced the outspread, but …
Network-based approach to identify molecular signatures and therapeutic agents in Alzheimer's disease
Alzheimer's disease (AD) is a dynamic degeneration of the brain with progressive dementia.
Considering the uncertainties in its molecular mechanism, in the present study, we …
Considering the uncertainties in its molecular mechanism, in the present study, we …
Genome-scale metabolic models in translational medicine: the current status and potential of machine learning in improving the effectiveness of the models
The genome-scale metabolic model (GEM) has emerged as one of the leading modeling
approaches for systems-level metabolic studies and has been widely explored for a broad …
approaches for systems-level metabolic studies and has been widely explored for a broad …
Identification of host transcriptome-guided repurposable drugs for SARS-CoV-1 infections and their validation with SARS-CoV-2 infections by using the integrated …
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is one of the most severe
global pandemic due to its high pathogenicity and death rate starting from the end of 2019 …
global pandemic due to its high pathogenicity and death rate starting from the end of 2019 …
Integrated bioinformatics and statistical approaches to explore molecular biomarkers for breast cancer diagnosis, prognosis and therapies
Integrated bioinformatics and statistical approaches are now playing the vital role in
identifying potential molecular biomarkers more accurately in presence of huge number of …
identifying potential molecular biomarkers more accurately in presence of huge number of …
Identification of prognostic biomarker signatures and candidate drugs in colorectal cancer: insights from systems biology analysis
Background and objectives: Colorectal cancer (CRC) is the second most common cause of
cancer-related death in the world, but early diagnosis ameliorates the survival of CRC. This …
cancer-related death in the world, but early diagnosis ameliorates the survival of CRC. This …
Robust identification of common genomic biomarkers from multiple gene expression profiles for the prognosis, diagnosis, and therapies of pancreatic cancer
Pancreatic cancer (PC) is one of the leading causes of cancer-related death globally. So,
identification of potential molecular signatures is required for diagnosis, prognosis, and …
identification of potential molecular signatures is required for diagnosis, prognosis, and …
MicroRNA expression patterns in oral squamous cell carcinoma: hsa‐mir‐99b‐3p and hsa‐mir‐100‐5p as novel prognostic markers for oral cancer
Background MicroRNAs (miRNA) recently evolved as potential cancer biomarkers.
Therefore, the aim of the present study was to evaluate the prognostic impact of eight …
Therefore, the aim of the present study was to evaluate the prognostic impact of eight …