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Multidimensional analyses identify genes of high priority for pancreatic cancer research
Zeribe C. Nwosu, Heather M. Giza, Maya Nassif, Verodia Charlestin, Rosa E. Menjivar, Daeho Kim, Samantha B. Kemp, Peter Sajjakulnukit, Anthony Andren, Li Zhang, William K.M. Lai, Ian Loveless, Nina Steele, Jiantao Hu, Biao Hu, Shaomeng Wang, Marina Pasca di Magliano, Costas A. Lyssiotis
Zeribe C. Nwosu, Heather M. Giza, Maya Nassif, Verodia Charlestin, Rosa E. Menjivar, Daeho Kim, Samantha B. Kemp, Peter Sajjakulnukit, Anthony Andren, Li Zhang, William K.M. Lai, Ian Loveless, Nina Steele, Jiantao Hu, Biao Hu, Shaomeng Wang, Marina Pasca di Magliano, Costas A. Lyssiotis
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Research Article Gastroenterology Oncology

Multidimensional analyses identify genes of high priority for pancreatic cancer research

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Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a drug-resistant and lethal cancer. Identification of the genes that consistently show altered expression across patient cohorts can expose effective therapeutic targets and strategies. To identify such genes, we separately analyzed 5 human PDAC microarray datasets. We defined genes as “consistent” if upregulated or downregulated in 4 or more datasets (adjusted P < 0.05). The genes were subsequently queried in additional datasets, including single-cell RNA-sequencing data, and we analyzed their pathway enrichment, tissue specificity, essentiality for cell viability, and association with cancer features, e.g., tumor subtype, proliferation, metastasis, and poor survival outcome. We identified 2,010 consistently upregulated and 1,928 downregulated genes, of which more than 50% to our knowledge were uncharacterized in PDAC. These genes spanned multiple processes, including cell cycle, immunity, transport, metabolism, signaling, and transcriptional/epigenetic regulation — cell cycle and glycolysis being the most altered. Several upregulated genes correlated with cancer features, and their suppression impaired PDAC cell viability in prior CRISPR/Cas9 and RNA interference screens. Furthermore, the upregulated genes predicted sensitivity to bromodomain and extraterminal (epigenetic) protein inhibition, which, in combination with gemcitabine, disrupted amino acid metabolism and in vivo tumor growth. Our results highlight genes for further studies in the quest for PDAC mechanisms, therapeutic targets, and biomarkers.

Authors

Zeribe C. Nwosu, Heather M. Giza, Maya Nassif, Verodia Charlestin, Rosa E. Menjivar, Daeho Kim, Samantha B. Kemp, Peter Sajjakulnukit, Anthony Andren, Li Zhang, William K.M. Lai, Ian Loveless, Nina Steele, Jiantao Hu, Biao Hu, Shaomeng Wang, Marina Pasca di Magliano, Costas A. Lyssiotis

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Figure 2

Consistent genes are components of multiple pathways.

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Consistent genes are components of multiple pathways.
(A) Heatmap showin...
(A) Heatmap showing cell cycle components with consistent expression pattern. (B and C) Gene set enrichment analysis (GSEA) plots indicating upregulated (B) IFN-α and (C) IFN-γ signatures. The listed genes are the most highly upregulated in the pathways shown. (D–F) Schematic depictions of consistent genes in the (D) glycolytic pathway and the tricarboxylic acid (TCA) cycle, (E) fatty acid (FA) biosynthesis and breakdown (β-oxidation), and (F) cholesterol metabolism. (G) Heatmap showing the most consistently expressed nutrient and ion transporters (top 20 up-/downregulated). (H) Heatmap showing the most consistently expressed transcription factors (top 20 up-/downregulated). (I and J) GSEA plots of transcriptional signature, indicating (I) upregulated BACH1_01 signature and (J) downregulated AR_01 and HNF_Q6 signatures. The genes in red are among the topmost of the enriched BACH1_01 signature, whereas genes in green are among the topmost downregulated in the AR_01 and HNF_Q6 plots, respectively. In D and E, *indicates genes that were consistent in 3 of 5 datasets; all other genes displayed are consistent in 4 or more datasets (in red – CUGs, in green – CDGs). Genes in gray were not captured as consistent and are shown based on their known position/role in the respective pathways. NES, normalized enrichment score.

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