Article

Integrating pharmacogenomics data-driven prediction with bulk and single-cell RNAseq to demonstrate the efficacy of an NAMPT inhibitor against aggressive, taxane-resistant, and stem-like cells in lethal prostate cancer

2022-07-22

Abstract excerpt

<h4>ABSTRACT</h4> Metastatic prostate cancer is the second leading cause of cancer deaths in US men. Resistance to standard medical castration and secondary taxane-based chemotherapy is nearly universal. Further, presence of cancer stem-like cells (EMT/epithelial to mesenchymal transdifferentiation) and neuroendocrine PCa (NEPC) subtypes significantly contribute to aggressive/advanced/lethal variants of PCa (AVP...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: c783e41b-34d7-5907-a557-5c61fb252ed2
DOI: 10.1101/2022.07.20.500378

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Integrating pharmacogenomics data-driven prediction with bulk and single-cell RNAseq to demonstrate the efficacy of an NAMPT inhibitor against aggressive, taxane-resistant, and stem-like cells in lethal prostate cancerDOI 10.1101/2022.07.20.500378Read

Integration of Pan-Cancer Cell Line and Single-Cell Transcriptomic Profiles Enables Inference of Therapeutic Vulnerabilities in Heterogeneous TumorsSemantic proximity Read

Inferring therapeutic vulnerability within tumors through integration of pan-cancer cell line and single-cell transcriptomic profilesSemantic proximity Read

Unmasking Neuroendocrine Prostate Cancer with a Machine Learning-Driven 7-Gene Stemness Signature that Predicts ProgressionSemantic proximity Read

Understanding the development of enzalutamide resistance based on a functional single-cell approachSemantic proximity Read

Single-cell analysis supports key cell subpopulations for drug resistance and metastasis in prostate cancerSemantic proximity Read

Integrated analysis of single-cell and bulk transcriptomics develops a robust neuroendocrine cell-intrinsic signature to predict prostate cancer progressionSemantic proximity Read

Increasing Stemness Drives Prostate Cancer Progression, Plasticity, Therapy Resistance and Poor Patient SurvivalSemantic proximity Read

Clofazimine treatment modulates key non-coding RNAs associated with tumor progression and drug resistance in lethal Prostate CancerSemantic proximity Read

Unveiling the NEFH+ malignant cell subtype: Insights from single-cell RNA sequencing in prostate cancer progression and tumor microenvironment interactionsSemantic proximity Read

Single-cell analysis extracted CAFs-related genes to established online app to predict clinical outcome and radiotherapy prognosis of prostate cancerSemantic proximity Read

Integrating single-cell and bulk RNA sequencing to predict prognosis and immunotherapy response in prostate cancerSemantic proximity Read

Unveiling Novel Double-Negative Prostate Cancer Subtypes Through Single-Cell RNA Sequencing AnalysisSemantic proximity Read