Proteomics

Dataset Information

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Identification of serum biomarkers to monitor therapeutic response in gastric cancer


ABSTRACT: There are a limited number of clinically useful serum biomarkers to predict tumour onset or treatment response in gastric cancer (GC). For this reason, we explored the serum proteome of the gp130Y757F murine model of intestinal-type gastric cancer (IGC). We identified 30 proteins with significantly elevated expression in early gp130Y757F IGC and 12 proteins that were significantly elevated in late gp130Y757F IGC compared to age and gender matched wild-type mice. Within these signatures, there was an overlap of 10 proteins commonly elevated in both early and late-stage disease. Since IGC in the gp130Y757F model can be reversed following therapeutic inhibition of Interleukin (IL)-11, we explored whether the protein signatures we identified could be used to monitor tumour regression. We compared two different therapeutic modalities and found 5 proteins to be uniquely differentially expressed between control and treated animals half-way through treatment, with 10 differentially expressed at the end of treatment. Our findings highlight the potential to identify reliable biomarkers to track IGC tumor regression in response to treatment.

INSTRUMENT(S): impact II

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Blood Serum

DISEASE(S): Diffuse Gastric Cancer

SUBMITTER: Laura Dagley  

LAB HEAD: Associate Professor Tracy Putoczki

PROVIDER: PXD043224 | Pride | 2024-03-19

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
4242_GP130late_01_01_1_01_1294.d.zip Other
4244_GP130late_01_02_1_01_1295.d.zip Other
4245_GP130late_01_03_1_01_1296.d.zip Other
4257_GP130early_01_01_1_01_1286.d.zip Other
4260_GP130early_01_02_1_01_1287.d.zip Other
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