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Circadian transcriptome of pancreatic adenocarcinoma unravels chronotherapeutic targets
Deepak Sharma, Darbaz Adnan, Mostafa K. Abdel-Reheem, Ron C. Anafi, Daniel D. Leary, Faraz Bishehsari
Deepak Sharma, Darbaz Adnan, Mostafa K. Abdel-Reheem, Ron C. Anafi, Daniel D. Leary, Faraz Bishehsari
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Research Article Oncology Therapeutics

Circadian transcriptome of pancreatic adenocarcinoma unravels chronotherapeutic targets

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Abstract

Pancreatic ductal adenocarcinoma (PDA) is a lethal cancer characterized by a poor outcome and an increasing incidence. A significant majority (>80%) of newly diagnosed cases are deemed unresectable, leaving chemotherapy as the sole viable option, though with only moderate success. This necessitates the identification of improved therapeutic options for PDA. We hypothesized that there are temporal variations in cancer-relevant processes within PDA tumors, offering insights into the optimal timing of drug administration — a concept termed chronotherapy. In this study, we explored the presence of the circadian transcriptome in PDA using patient-derived organoids and validated these findings by comparing PDA data from The Cancer Genome Atlas with noncancerous healthy pancreas data from GTEx. Several PDA-associated pathways (cell cycle, stress response, Rho GTPase signaling) and cancer driver hub genes (EGFR and JUN) exhibited a cancer-specific rhythmic pattern intricately linked to the circadian clock. Through the integration of multiple functional measurements for rhythmic cancer driver genes, we identified top chronotherapy targets and validated key findings in molecularly divergent pancreatic cancer cell lines. Testing the chemotherapeutic efficacy of clinically relevant drugs further revealed temporal variations that correlated with drug-target cycling. Collectively, our study unravels the PDA circadian transcriptome and highlights a potential approach for optimizing chrono-chemotherapeutic efficacy.

Authors

Deepak Sharma, Darbaz Adnan, Mostafa K. Abdel-Reheem, Ron C. Anafi, Daniel D. Leary, Faraz Bishehsari

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Figure 5

Circadian cycling of gene expression and cellular processes in PDA cell lines.

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Circadian cycling of gene expression and cellular processes in PDA cell ...
(A) Principal component analysis (PCA) of cell lines (n = 15,534 genes). Capan1, red; MiaPaca2, brown; Panc1, green, Aspc1, blue. (B) Pairwise correlation of normalized expression (TPM) for cell lines at each time point (15,534 genes). (C) Temporal profiles of selected circadian genes. (D) Venn diagram showing intersection of rhythmic cancer driver genes (r-CDGs, n = 127) from PDOs and PDA cell lines. (E) Temporal profiles of selected cancer-associated genes. Cell lines in which the gene is significantly rhythmic are shown with bold lines. Cell lines in which the gene is not rhythmic are shown with dashed lines in the background. Color code represents cell lines as per A.

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