A balanced tissue composition reveals new metabolic and gene expression markers in prostate cancer

MB Tessem, H Bertilsson, A Angelsen, TF Bathen… - PloS one, 2016 - journals.plos.org
Molecular analysis of patient tissue samples is essential to characterize the in vivo variability
in human cancers which are not accessible in cell-lines or animal models. This applies …

Molecular classification of prostate adenocarcinoma by the integrated somatic mutation profiles and molecular network

L Yang, S Wang, M Zhou, X Chen, W Jiang, Y Zuo… - Scientific reports, 2017 - nature.com
Prostate cancer is one of the most common cancers in men and a leading cause of cancer
death worldwide, displaying a broad range of heterogeneity in terms of clinical and …

Overexpression of the chromatin remodeler death-domain–associated protein in prostate cancer is an independent predictor of early prostate-specific antigen …

MC Tsourlakis, M Schoop, C Plass, H Huland… - Human pathology, 2013 - Elsevier
Molecular markers reliably predicting the aggressiveness of prostate cancer are currently
lacking. Death-domain–associated protein (DAXX) has been implicated in the regulation of …

Genome-wide cross-cancer analysis illustrates the critical role of bimodal miRNA in patient survival and drug responses to PI3K inhibitors

L Moody, GB Xu, YX Pan, H Chen - PLoS computational biology, 2022 - journals.plos.org
Heterogeneity of cancer means many tumorigenic genes are only aberrantly expressed in a
subset of patients and thus follow a bimodal distribution, having two modes of expression …

A new texture and shape based technique for improving meningioma classification

K Fatima, A Arooj, H Majeed - Microscopy research and …, 2014 - Wiley Online Library
Over the past decade, computer‐aided diagnosis is rapidly growing due to the availability of
patient data, sophisticated image acquisition tools and advancement in image processing …

SEPA: signaling entropy-based algorithm to evaluate personalized pathway activation for survival analysis on pan-cancer data

X Li, M Li, J Xiang, Z Zhao, X Shang - Bioinformatics, 2022 - academic.oup.com
Motivation Biomarkers with prognostic ability and biological interpretability can be used to
support decision-making in the survival analysis. Genes usually form functional modules to …

Deep phenotyping of the prostate tumor microenvironment reveals molecular stratifiers of relapse and links inflammatory chemokine expression to aberrant …

S Krossa, MK Andersen, E Midtbust, M Wess, A Kiviaho… - bioRxiv, 2024 - biorxiv.org
Understanding the molecular characteristics and changes of the tumor microenvironment
(TME) associated with aggressive prostate cancer (PCa) is essential for precise diagnosis …

[HTML][HTML] Modeling African American prostate adenocarcinoma by inducing defined genetic alterations in organoids

K Unno, M Roh, YA Yoo, Y Al-Shraideh, L Wang… - Oncotarget, 2017 - ncbi.nlm.nih.gov
Genomic studies are rapidly identifying genetic alterations in human cancer, but functional
validation of such alterations has been slow. Here, using human prostate cancer as a model …

[HTML][HTML] Machine learning estimated probability of relapse in early-stage non-small-cell lung cancer patients with aneuploidy imputation scores and knowledge graph …

S Buosi, M Timilsina, A Janik, L Costabello… - Expert Systems with …, 2024 - Elsevier
Motivation: Low-stage lung cancer is known to recur unpredictably, and patients receiving
various treatment methods like radiation, chemotherapy, and immunotherapies have been …

Distance in cancer gene expression from stem cells predicts patient survival

M Riester, HJ Wu, A Zehir, M Gönen, AL Moreira… - PLoS …, 2017 - journals.plos.org
The degree of histologic cellular differentiation of a cancer has been associated with
prognosis but is subjectively assessed. We hypothesized that information about tumor …