IPPC: an interactive platform for prostate cancer multi-omics data integration and analysis

X Ye, F Peng, J Liu, H Zhao, W Chen… - Journal of Molecular …, 2021 - academic.oup.com
Prostate cancer is a clinically heterogeneous disease and remains the most common non-
skin malignancy in men worldwide (Abate-Shen and Shen, 2000; Litwin and Tan, 2017) …

[HTML][HTML] Prostate cancer bioinformatics analysis: emerging genomic profiling techniques

A Alkhateeb, L Alshomali, M Dalain - Translational Cancer …, 2023 - ncbi.nlm.nih.gov
© Translational Cancer Research. All rights reserved. Transl Cancer Res 2023; 12 (1): 4-7|
https://dx. doi. org/10.21037/tcr-22-2423 multi-omic approaches to improve outcomes in …

Integrative multi-omics analysis enables a comprehensive characterization of prostate cancer and unveils metastasis-associated candidate biomarkers

M Villa, G Cazzaniga, M Bolognesi, V Crippa… - Cancer Research, 2024 - AACR
Prostate cancer (PCa), a common malignancy in men, presents a complex and variable
disease landscape, requiring precise evaluation for personalized treatment decisions …

The transcriptomic landscape of prostate cancer development and progression: an integrative analysis

J Marzec, H Ross-Adams, S Pirrò, J Wang, Y Zhu… - Cancers, 2021 - mdpi.com
Simple Summary There is a tremendous amount of gene expression information available
for prostate cancer, but very few tools exist to combine the disparate datasets generated …

From omics to multi-omics approaches for in-depth analysis of the molecular mechanisms of prostate cancer

E Nevedomskaya, B Haendler - International Journal of Molecular …, 2022 - mdpi.com
Cancer arises following alterations at different cellular levels, including genetic and
epigenetic modifications, transcription and translation dysregulation, as well as metabolic …

Elucidation of the Genomic‐Epigenomic Interaction Landscape of Aggressive Prostate Cancer

TK Kumar Mamidi, J Wu, C Hicks - BioMed research …, 2021 - Wiley Online Library
Background. Majority of prostate cancer (PCa) deaths are attributed to localized high‐grade
aggressive tumours which progress rapidly to metastatic disease. A critical unmet need in …

Precision medicine insight into primary prostate tumor through transcriptomic data and an integrated systems biology approach

M Sadeghi, A Barzegar - Meta Gene, 2020 - Elsevier
The non-responsiveness towards the therapy of prostate tumors is due to an extreme
genetic heterogeneity including various tumor subpopulations depending on the genetic …

Gene expression analysis reveals a 5-gene signature for progression-free survival in prostate cancer

Z Mou, J Spencer, B Knight, J John, P McCullagh… - Frontiers in …, 2022 - frontiersin.org
Prostate cancer (PCa) is the second most common male cancer worldwide, but effective
biomarkers for the presence or progression risk of disease are currently elusive. In a series …

[HTML][HTML] Prostate cancer diagnosis using epigenetic biomarkers, 3D high-content imaging and probabilistic cell-by-cell classifiers

D Stefanovski, G Tang, K Wawrowsky, RC Boston… - Oncotarget, 2017 - ncbi.nlm.nih.gov
Background Prostate cancer (PCa) management can benefit from novel
concepts/biomarkers for reducing the current 20-30% chance of false-negative diagnosis …

A radiogenomic approach for decoding molecular mechanisms underlying tumor progression in prostate cancer

S Fischer, M Tahoun, B Klaan, KM Thierfelder… - Cancers, 2019 - mdpi.com
Prostate cancer (PCa) is a genetically heterogeneous cancer entity that causes challenges
in pre-treatment clinical evaluation, such as the correct identification of the tumor stage …