Abstract:Pancreatic cancer is characterized by nearly universal activating mutations in KRAS. Among other somatic mutations, TP53 is mutated in more than 75% of human pancreatic tumors. Genetically engineered mice have proven instrumental in studies of the contribution of individual genes to carcinogenesis. Oncogenic Kras mutations occur early during pancreatic carcinogenesis and are considered an initiating event. In contrast, mutations in p53 occur later during tumor progression. In our model, we recapitulated the or… Show more
“…We also found significant enrichment of the hypoxia gene expression signature in LMSU gastric cancer cells retaining endogenous p53-R175H (normalized enrichment score [NES] = 1.84, FDR P = 0.007; Supplemental Figure 5C). Other results included upregulation of EMT genes, consistent with evidence supporting a role for mutant p53 in the mesenchymal phenotype and metastasis (21,24,27,34); and upregulation of mTOR pathway signatures, a result not validated by our analysis of phosphorylated AKT in xenografted p53-R175H LMSU tumors.…”
Section: Resultssupporting
confidence: 62%
“…There is, however, evidence that mutant p53 can stabilize MDM2 expression in cancer (20), opening the possibility for other explanations for mutant p53 overexpression in cancer. It is conceivable that elevated protein expression of mutant p53 could also reflect potential pro-oncogenic activity, as previously reported in several tumors (21)(22)(23)(24)(25)(26)(27)(28). The observation that the majority of patients with TP53 mutant Barrett's metaplasia, a precursor to esophageal adenocarcinoma, and GEA selectively lose the remaining WT TP53 copy through LOH also raises the potential of a gain-of-function activity in addition to an established dominant-negative property (Supplemental Figure 1C).…”
“…We also found significant enrichment of the hypoxia gene expression signature in LMSU gastric cancer cells retaining endogenous p53-R175H (normalized enrichment score [NES] = 1.84, FDR P = 0.007; Supplemental Figure 5C). Other results included upregulation of EMT genes, consistent with evidence supporting a role for mutant p53 in the mesenchymal phenotype and metastasis (21,24,27,34); and upregulation of mTOR pathway signatures, a result not validated by our analysis of phosphorylated AKT in xenografted p53-R175H LMSU tumors.…”
Section: Resultssupporting
confidence: 62%
“…There is, however, evidence that mutant p53 can stabilize MDM2 expression in cancer (20), opening the possibility for other explanations for mutant p53 overexpression in cancer. It is conceivable that elevated protein expression of mutant p53 could also reflect potential pro-oncogenic activity, as previously reported in several tumors (21)(22)(23)(24)(25)(26)(27)(28). The observation that the majority of patients with TP53 mutant Barrett's metaplasia, a precursor to esophageal adenocarcinoma, and GEA selectively lose the remaining WT TP53 copy through LOH also raises the potential of a gain-of-function activity in addition to an established dominant-negative property (Supplemental Figure 1C).…”
“…Preparation of the sample types below has been described before Schofield et al, 2018;Sousa et al, 2016;Svoboda et al, 2018;Yuan et al, 2012). A brief description follows.…”
Section: Sample Preparationmentioning
confidence: 99%
“…Our LC-MS/MS metabolomics analysis was performed as described previously Schofield et al, 2018;Sousa et al, 2016). In brief, an Agilent 1290 UHPLC and 6490 Triple Quadrupole (QqQ) Mass Spectrometer (LC-MS) were used for label-free targeted metabolomics analysis.…”
Section: Lc-ms Metabolomics Analysismentioning
confidence: 99%
“…It utilizes both RPLC and HILIC methods with dynamic MRM (dMRM) as a means to maximize the coverage and sensitivity of target metabolites. Together with our customized computational and statistical analysis pipeline, this platform has been recently applied in several biological contexts Schofield et al, 2018;Sousa et al, 2016;Svoboda et al, 2018). Herein, we report heterogeneous data sets from a wide range of experiments and sample types that were generated on our LC-MS/MS targeted metabolomics platform over a period of one year.…”
Author contributionsHL conceived the idea, designed the algorithms and pipelines, performed computational and statistical analyses, interpreted the results, and wrote a draft of the manuscript. DMK and PS prepared the samples and helped with raw data processing. LZ performed LC-MS analysis including raw data generation. DMK and LZ contributed to writing the manuscript. CAL conceived the idea, interpreted the results, contributed to writing the manuscript, and supervised the project. All authors read and approved the manuscript.
Conflict of interestHL, DMK, PS, and LZ declare that they have no conflict of interest. CAL is an inventor on patents pertaining to Kras regulated metabolic pathways, redox control pathways in pancreatic cancer, and targeting GOT1 as a therapeutic approach.
Compliance with ethical standardsThis article does not contain any studies with human and/or animal participants performed by any of the authors.
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