Dataset Information

Gene expression profile of epithelial cells from five regions of human intestinal.

ABSTRACT: Data independent analysis of proteome of patient derived epithelial cell from five regions, duodenum, jejunum, ileum, colon and rectum.

ORGANISM(S): Homo Sapiens (human)

SUBMITTER: Takuma Katayama

PROVIDER: PXD037197 | JPOST Repository | Mon May 08 00:00:00 BST 2023

REPOSITORIES: jPOST

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Dataset's files

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			Action	DRS
	20210825_GPF_Biopsy_1.raw	Raw
	20210825_GPF_Biopsy_2.raw	Raw
	20210825_GPF_Biopsy_3.raw	Raw
	20210825_GPF_Biopsy_4.raw	Raw
	20210825_GPF_Biopsy_5.raw	Raw

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Publications

Regional Transcriptomics and Proteomics of Pharmacokinetics-Related Genes in Human Intestine.

Murata Michika M Fujioka Hijiri H Yokota Jumpei J Okada Kentaro K Yamashita Tomoki T Hirayama Daisuke D Kawakami Kentaro K Morinaga Gaku G Saito Asami A Nakase Hiroshi H Kishimoto Wataru W Mizuguchi Hiroyuki H

Molecular pharmaceutics 20230503 6

The intestine is an organ responsible for the absorption and metabolism of orally administered drugs. To predict pharmacokinetics behavior in the small intestine, it is necessary to examine the human intestinal expression profiles of the genes related to drug absorption, distribution, metabolism, and excretion (ADME). In this study, to obtain more accurate expression profiles in various regions of the human intestine, biopsy samples were collected from endoscopically noninflamed mucosa of the du ...[more]

PMID: 37132462

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Project description:Background and Aims: Staging inadequately predicts metastatic risk in colon cancer patients. We used a gene expression profile derived from invasive murine colon cancer cells that were highly metastatic in an immunocompetent mouse model to identify colon cancer patients at risk for recurrence in a phase I, exploratory biomarker study. Methods: 55 colorectal cancer patients from Vanderbilt Medical Center (VMC) were used as the training dataset and 177 patients from the Moffitt Cancer Center were used as the independent dataset. The metastasis-associated gene expression profile developed from the mouse model was refined using comparative functional genomics in the VMC gene expression profiles to identify a 34-gene classifier associated with high risk of metastasis and death from colon cancer. A recurrence score derived from the biologically based classifier was tested in the Moffitt dataset. Results: A high score was significantly associated with increased risk of metastasis and death from colon cancer across all pathological stages and specifically in stage II and stage III patients. The recurrence score was shown to independently predict risk of cancer recurrence and death in both univariate and multivariate models. For example, among stage III patients, a high score translated to increased relative risk for cancer recurrence (hazard ratio = 4.7 (95% CI=1.566-14.05)). Furthermore, the recurrence score identified stage III patients whose five-year recurrence-free survival was >88% and for whom adjuvant chemotherapy did not provide improved survival. Conclusion: Our biologically based gene expression profile yielded a potentially useful classifier to predict cancer recurrence and death independently of conventional measures in colon cancer patients. Experiment Overall Design: Gene expression array differences between highly invasive mouse colon cancer cells and non-invasive colon cancer cells were used to develop a metastasis gene expression profile. It was refined using gene expression data from 55 patient (VMC) samples and trained using 177 patient (Moffitt) samples.