Experimental challenges to modeling prostate cancer heterogeneity

T del NJ Flores-Téllez, E Baena - Cancer Letters, 2022 - Elsevier
Tumor heterogeneity plays a key role in prostate cancer prognosis, therapy selection,
relapse, and acquisition of treatment resistance. Prostate cancer presents a heterogeneous …

Genomics and artificial intelligence: prostate cancer

EY Wong, TN Chu, SS Ladi-Seyedian - Urologic Clinics, 2024 - urologic.theclinics.com
Management of patients with prostate cancer (PCa) is often challenging due to the
difference in the biology of cancer between patients and the various genetic alterations …

PPDPF suppresses the development of hepatocellular carcinoma through TRIM21-mediated ubiquitination of RIPK1

YK Wang, N Ma, S Xu, JY Huang, QZ Ni, HJ Cao… - Cell Reports, 2023 - cell.com
Pancreatic progenitor cell differentiation and proliferation factor (PPDPF) has been reported
to play a role in tumorigenesis. However, its function in hepatocellular carcinoma (HCC) …

A hybrid ensemble feature selection design for candidate biomarkers discovery from transcriptome profiles

F Colombelli, TW Kowalski… - Knowledge-Based …, 2022 - Elsevier
Discovering disease biomarkers from gene expression data has been greatly advanced by
feature selection (FS) methods, especially using ensemble FS (EFS) strategies with …

Partial Correlation Analysis and Neural-Network-Based Prediction Model for Biochemical Recurrence of Prostate Cancer after Radical Prostatectomy

JK Kim, SH Hong, IY Choi - Applied Sciences, 2023 - mdpi.com
Featured Application This paper presents a prediction method for the biochemical
recurrence of prostate cancer following radical prostatectomy using partial correlation and a …

[HTML][HTML] PPDPF promotes the progression and acts as an antiapoptotic protein in non-small cell lung cancer

M Yun, L Yingzi, G Jie, L Guanxin, Z Zimei… - … Journal of Biological …, 2022 - ncbi.nlm.nih.gov
Resistance to radiotherapy is frequently observed in the clinic and leads to poor prognosis
of non-small cell lung cancer (NSCLC). How to overcome resistance to radiotherapy is a …

Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection

L Ohl, PA Mattei, C Bouveyron, M Leclercq… - Statistics and …, 2024 - Springer
Feature selection in clustering is a hard task which involves simultaneously the discovery of
relevant clusters as well as relevant variables with respect to these clusters. While feature …

Systematic review and integrated analysis of prognostic gene signatures for prostate cancer patients

Y An, W Lu, S Li, X Lu, Y Zhang, D Han, D Su, J Jia… - Discover Oncology, 2023 - Springer
Prostate cancer (PC) is one of the most common cancers in men and becoming the second
leading cause of cancer fatalities. At present, the lack of effective strategies for prognosis of …

Predictive Modeling of Clinical Trial Outcomes for Novel Drugs using Digital Twin Patient Cohorts and GenerativeAI

DK Chebanov, VA Misyurin - medRxiv, 2023 - medrxiv.org
There is a problem of clinical trial failure, as each new drug should surpass the effectiveness
of existing treatment regimens, which becomes increasingly challenging over time. Another …

Sparse GEMINI for joint discriminative clustering and feature selection

L Ohl, PA Mattei, C Bouveyron, M Leclercq… - arXiv preprint arXiv …, 2023 - arxiv.org
Feature selection in clustering is a hard task which involves simultaneously the discovery of
relevant clusters as well as relevant variables with respect to these clusters. While feature …