Abstract
Although numerous studies support a dose–effect relationship between
Endocrine disruptors (EDs) and the progression and malignancy of tumors,
the impact of a chronic exposure to non-lethal concentrations of EDs in
cancer remains unknown. More specifically, a number of studies have
reported the impact of Aldrin on a variety of cancer types, including
prostate cancer. In previous studies, we demonstrated the induction of
the malignant phenotype in DU145 prostate cancer (PCa) cells after a
chronic exposure to Aldrin (an ED). Proteins are pivotal in the
regulation and control of a variety of cellular processes. However, the
mechanisms responsible for the impact of ED on PCa and the role of
proteins in this process are not yet well understood. Here, two
complementary computational approaches have been employed to investigate
the molecular processes underlying the acquisition of malignancy in
prostate cancer. First, the metabolic reprogramming associated with the
chronic exposure to Aldrin in DU145 cells was studied by integrating
transcriptomics and metabolomics via constraint-based metabolic
modeling. Second, gene set enrichment analysis was applied to determine
(i) altered regulatory pathways and (ii) the correlation between changes
in the transcriptomic profile of Aldrin-exposed cells and tumor
progression in various types of cancer. Experimental validation
confirmed predictions revealing a disruption in metabolic and regulatory
pathways. This alteration results in the modification of protein levels
crucial in regulating triacylglyceride/cholesterol, linked to the
malignant phenotype observed in Aldrin-exposed cells.
Original language | English |
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Article number | 11 |
Journal | Proteomes |
Volume | 11 |
Issue number | 2 |
Number of pages | 19 |
DOIs | |
Publication status | Published - 2023 |
Keywords
- Prostate cancer
- Endocrine disruptor
- Genome-scale metabolic modeling
- Data-driven analysis
- Metabolic reprogramming