Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

ACCESS DATA

Json Xml

Similar Datasets

Discovery of gastric cancer-specific biomarkers by the application of serum proteomics

Project description:The aims of this study are to compare the proteomes of serum samples from patients with gastric cancers and normal controls, and to develop useful tumor markers of gastric cancer by quantitative proteomic analysis

2017-02-08 | PXD005156 | Pride

The miRNA expression signature of human MALT lymphoma

Project description:To identify key tumour supressor miRNAs involed in MALT lymphoma pathogenesis Gastric mucosa-associated lymphoid tissue lymphoma develops in the chronically inflamed mucosa of Helicobacter pylori-infected patients. MicroRNA expression profiling of human MALT lymphoma revealed a 10-fold down-regulation of miR-203, which resulted from promoter hypermethylation and coincided with the dysregulation of the miR-203 target ABL1. Demethylating treatment of lymphoma B-cells led to an increase in miR-203 expression and concomitant ABL1 down-regulation. The lentiviral delivery of miR-203, as well as treatment with various ABL inhibitors, prevented primary MALT lymphoma cell proliferation in vitro. Finally, the treatment of tumor-bearing mice with imatinib induced MALT lymphoma regression in vivo. Our results show that MALT lymphomagenesis is epigenetically induced by miR-203 promoter methylation and identify ABL1 as a novel target for the treatment of this malignancy. 5 human fresh frozen MALT lymphoma samples were analysed and 4 human tonsil tissue samples were used as the non-tumour control

2010-08-31 | E-GEOD-23877 | biostudies-arrayexpress

Identification of plasma proteins associated with oesophageal cancer chemotherapeutic treatment outcomes using SWATH-MS

Project description:Oesophageal adenocarcinoma (OAC) is an aggressive cancer with a five-year survival of <15%, and the incidence is predicted to double within the next 20 years. Current neo-adjuvant chemotherapy treatment strategies only benefit a minority (20-30%) of patients and there are currently no methods available to differentiate between responders and non-responders. Here we performed quantitative proteomics using Sequential Window Acquisition of all THeoretical fragment-ion spectra-Mass Spectrometry (SWATH-MS) on albumin/IgG-depleted and non-depleted plasma samples from 23 patients with locally advanced OAC or oesophageal gastric junction cancers prior to treatment. Individuals were grouped based on tumour regression (TRG) score (TRG1-3 vs TRG4 and 5) after chemotherapy and differentially abundant proteins were compared using univariate and multivariate analyses. Protein depletion led to the identification of around twice as many proteins in the samples compared to non-depletion. SWATH-MS revealed significant quantitative differences in the abundance of several proteins (p<0.05) between the two groups. These included all three c1q subunit proteins, C1QA, C1QB and C1QC, which were of higher abundance in the low TRG group (higher degree of regression in response to treatment). Of those that were found to be of higher abundance in the high TRG group, GSTP1 was found to exhibit the lowest p-value (univariate analysis) and highest accuracy and Cohen’s kappa value (multivariate analysis). The concentrations of c1q complex and GSTP1 were further examined and validated using ELISA-based assays. This study provides quantitative information relating to differences in the plasma proteome that underpin response to chemotherapeutic treatment in oesophageal cancers.

2022-08-22 | PXD032137 | Pride

Peripheral blood proteomic signature of newly diagnosed prostate cancer

Project description:Prostate cancer (PCa) is the most common malignant tumour, with high incidence rates and heterogeneity in men around the world. It is becoming an increasing burden on the health care system due to lack of tests for precise detection of disease, risk assessment and response to treatments. We used SWATH-MS as a discovery proteomics tool to identify markers in the serum of newly diagnosed PCa patients and healthy controls to facilitate the improved diagnosis. Furthermore, identification and expression of proteins was also determined in patients undergone radiotherapy and prostatectomy for monitoring of the clinical response to respective treatment options. Thus, this study provides the basis for a proteomic signature to improve diagnostics of patients with localised prostate cancer.

2023-03-11 | PXD025484 | Pride

Mining potential serum biomarkers for gastric adenocarcinoma using quantitative proteomics

Project description:Serum is a valuable body fluid to diagnose cancer as it can be accessed with minimal invasive techniques. Studying the cancer serum proteome provides valuable insights into the pathophysiology of tumor progression. Gastric adenocarcinoma is an aggressive cancer resulting in poor prognosis, mainly due to the lack of specific early diagnostic biomarkers. To this end, we used an iTRAQ-based quantitative proteomic approach to identify differentially expressed proteins in the sera of patients diagnosed with gastric cancer. Our study resulted in the identification of 643 proteins in the serum, of which 48 proteins were found to be overexpressed and 11 proteins underexpressed in gastric cancer when compared with healthy controls. We used multiple reaction monitoring assays to validate the overexpression of potential biomarkers. This catalog of serum-based biomarkers will aid in diagnosis and prognosis of gastric cancer.

2015-07-27 | PXD001265 | Pride

Gastric gene expression of patients with type-1 gastric neuroendocrine tumours

Project description:Differentially expressed genes in the stomachs of type-1 gastric neuroendocrine tumour (NET) patients before, during and after treatment with netazepide (YF476)

2018-12-30 | E-MTAB-6473 | biostudies-arrayexpress

The miRNA expression signature of human MALT lymphoma

2010-08-31 | GSE23877 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes for advanced gastric cancer with different tumour-stroma-scores

Project description:Gastric cancer is one of the leading causes of cancer mortality worldwide. We compared transcriptomic profiles of advanced gastric cancer with different tumour-stroma-scores to identify the prognostic significance of tumour-stroma-score in advanced gastric cancer.

2021-11-29 | GSE179252 | GEO

Gene expression studies in apparently normal, paired normal and malignant gastric tissues

Project description:Gene expression profiling of apparently normal gastric tissue (obtained from patients undergoing gastric surgery for Non-gastric cancers), paired normals (obtained from the same stomach as the gastric cancer but confirmed by frozen section not to harbour any tumour cells) and gastric cancer, with an intent to identify genes involved in the malignant transformation of normal gastric mucosa and to identify genes which can be used as biomarkers for early diagnosis and potential targets for treatment Identification of novel prognostic markers using microarray gene expression studies. Keywords: Patient tissue samples

2010-11-30 | GSE17154 | GEO

RNA sequencing of gamma-delta T cell subsets from young and old mice

Project description:Organismal ageing is associated with loss of immune function and higher incidence of cancer. Whether the γδ T cell pool changes upon organismal ageing is not known. In this study we have characterized γδ T cells in peripheral lymph nodes from old and young mice. We found that the γδ T cell pool is severely altered in old mice. The IL-17 producing γδ lineage becomes dominating while IFN-γ producing γδ1 T cells are declining. γδTCR sequencing revealed no collapse in diversity but oligoclonal expansions in Vγ4 γδ17 subsets. Pro-tumourigenic invariant Vγ6 cells are present only in aged lymph nodes, represent the majority of γδ T cells in the tumour, and are associated with faster tumour progression.

2019-05-22 | E-MTAB-7178 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data