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ABSTRACT: Background and objectives
Transcriptomic landscape of prostate cancer (PCa) shows multidimensional variability, potentially arising from the cell-of-origin, reflected in serum markers, and most importantly related to drug sensitivities. For example, Aggressive Variant Prostate Cancer (AVPC) presents low PSA per tumor burden, and characterized by de novo resistance to androgen receptor signaling inhibitors (ARIs). Understanding PCa transcriptomic complexity can provide biological insight and therapeutic guidance. However, unsupervised clustering analysis is hindered by potential confounding factors such as stromal contamination and stress-related material degradation.Materials and methods
To focus on prostate epithelial cell-relevant heterogeneity, we defined 1,629 genes exp
SUBMITTER: Han H
PROVIDER: S-EPMC8616761 | biostudies-literature | 2021 Dec
REPOSITORIES: biostudies-literature