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Microarray analysis of gene expression differences in prostate specific antigen negative (PSA-ve) cells versus PSA+ve cells in human prostate cancer (HPCa) samples

ABSTRACT: Prostate cancer (PCa) is heterogeneous containing both phenotypically differentiated and undifferentiated tumor cells. An important unanswered question is whether these two populations of PCa cells are functionally different. Here we report the distinct molecular, cellular, and tumor-propagating properties of PCa cells that express high (i.e., PSA+) and low (PSA-/lo) levels of the differentiation marker PSA (prostatespecific antigen). PSA-/lo PCa cells are quiescent and resistant to multiple stresses including androgen deprivation, exhibit high clonogenic potential, and possess long-term tumor-propagating capacity in male mice. They preferentially express stem cell-associated genes and can undergo asymmetric cell division generating PSA+ cells. Importantly, PSA-/lo PCa cells can initiate robust tumor development in castrated hosts, survive androgen deprivation, and harbor highly tumorigenic castration-resistant PCa cells that can be further enriched using the ALDH+CD44+α2β1+ phenotype. In contrast, PSA+ PCa cells possess more limited tumor-propagating capacity, mainly undergo symmetric division, and are sensitive to castration. Together, our study suggests that PSA-/lo and PSA+ PCa cells are functionally distinct and PSA-/lo cells may represent one critical source of castration-resistant PCa cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE35733 | GEO | 2012/05/10

SECONDARY ACCESSION(S): PRJNA155663

REPOSITORIES: GEO

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Project description:Predicting Outcomes of Prostate Cancer Immunotherapyby Personalized Mathematical Models Natalie Kronik1¤, Yuri Kogan1, Moran Elishmereni1, Karin Halevi-Tobias1, Stanimir Vuk-Pavlovic ́2.,Zvia Agur1*.1Institute for Medical BioMathematics, Bene Ataroth, Israel,2College of Medicine, Mayo Clinic, Rochester, Minnesota, United States of America Abstract Background:Therapeutic vaccination against disseminated prostate cancer (PCa) is partially effective in some PCa patients.We hypothesized that the efficacy of treatment will be enhanced by individualized vaccination regimens tailored by simplemathematical models.Methodology/Principal Findings:We developed a general mathematical model encompassing the basic interactions of avaccine, immune system and PCa cells, and validated it by the results of a clinical trial testing an allogeneic PCa whole-cellvaccine. For model validation in the absence of any other pertinent marker, we used the clinically measured changes inprostate-specific antigen (PSA) levels as a correlate of tumor burden. Up to 26 PSA levels measured per patient were dividedinto each patient’s training set and his validation set. The training set, used for model personalization, contained thepatient’s initial sequence of PSA levels; the validation set contained his subsequent PSA data points. Personalized modelswere simulated to predict changes in tumor burden and PSA levels and predictions were compared to the validation set.The model accurately predicted PSA levels over the entire measured period in 12 of the 15 vaccination-responsive patients(the coefficient of determination between the predicted and observed PSA values wasR2= 0.972). The model could notaccount for the inconsistent changes in PSA levels in 3 of the 15 responsive patients at the end of treatment. Each validatedpersonalized model was simulated under many hypothetical immunotherapy protocols to suggest alternative vaccinationregimens. Personalized regimens predicted to enhance the effects of therapy differed among the patients.Conclusions/Significance:Using a few initial measurements, we constructed robust patient-specific models of PCaimmunotherapy, which were retrospectively validated by clinical trial results. Our results emphasize the potential value andfeasibility of individualized model-suggested immunotherapy protocols.

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Microarray analysis of gene expression differences in prostate specific antigen negative (PSA-ve) cells versus PSA+ve cells in human prostate cancer (HPCa) samples

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