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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 1

Consistently upregulated or downregulated genes in human pancreatic tumors.

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Consistently upregulated or downregulated genes in human pancreatic tumo...
(A) Schematic overview illustrating the identification and potential utility of the consistent genes. Five PDAC microarray datasets were used for the identification of the genes and “consistent” was defined as genes upregulated or downregulated in at least 4 datasets (adjusted P < 0.05). CUGs, consistently upregulated genes; CDGs, consistently downregulated genes. See Methods (Identification of the consistent genes) or Supplemental Figure 1B for the sample size of each dataset. *Not the focus of this study. (B) Topmost 20 highly and lowly expressed genes in PDAC (i.e., CUGs and CDGs, respectively) based on the sum of expression rank in the 5 datasets. (C) Number of CUGs and CDGs that showed the same high or low expression pattern, respectively, in the independent microarray datasets GSE19279, GSE32676, GSE19650, and GSE62165. *Dataset of premalignant tumor stages. See Supplemental Methods for sample sizes/types of the independent datasets. (D) Pie chart indicating the distribution of consistent genes (i.e., CUGs and CDGs) in PDAC relative to the number (n) of prior publications on the genes (0, ≤5, and >5) as observed via PubMed search. Highlighted in red are topmost CUGs with no prior publication; in green are topmost CDGs with no prior publication. (E) Gene set enrichment analysis (GSEA) plots of Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways or Hallmark associated with the consistent genes. The plots were generated using only the 3,938 genes that are consistent (adjusted P < 0.05 in tumor versus nontumor comparison in at least 4 of 5 datasets). The gene list used for GSEA was ranked by the sum of the expression score across the 5 datasets. NES, normalized enrichment score.

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