Project description:As metabolic rewiring is crucial for cancer cell proliferation, metabolic phenotyping of patient-derived organoids is desirable to identify drug-induced changes and trace metabolic vulnerabilities of tumor subtypes. We established a novel protocol for metabolomic and lipidomic profiling of colorectal cancer organoids by LC-QTOF-MS facing the challenge of capturing metabolic information from minimal sample amount (< 500 cells/injection) in the presence of extracellular matrix (ECM). The best procedure of the tested protocols included ultrasonic metabolite extraction with acetonitrile/methanol/water (2:2:1, v/v/v) without ECM removal. To eliminate ECM-derived background signals, we implemented a data filtering procedure based on p-value and fold change cut-offs which retained features with signal intensities >120% compared to matrix-derived signals present in blank samples. As a proof-of-concept, the method was applied to examine the early metabolic response of colorectal cancer organoids to 5-fluorouracil treatment. Statistical analysis revealed dose-dependent changes in the metabolic profiles of treated organoids including elevated levels of 2'-deoxyuridine, 2'-O-methylcytidin, inosine and 1-methyladenosine and depletion of 2'-deoxyadenosine and specific phospholipids. In accordance with the mechanism of action of 5-fluorouracil, changed metabolites are mainly involved in purine and pyrimidine metabolism. The novel protocol provides a first basis for the assessment of metabolic drug response phenotypes in 3D organoid models.
Project description:We established human colorectal tumor organoids from benign adenoma, primary colorectal cancer or metastasized colorectal cancer. The gene signature of tumor organoids associated with their tumor progression status. We also generated genome-edited organoids from human intestinal organoids recapitulating adenoma-carcinoma sequence. Gene expression signature of the genome engineered organoids were similar to that of adenoma organoids. This result indicated multiple (up to five) genetic mutations were insufficient for gene expression reprogramming of colorectal cancer. We used microarrays to detail the global program of gene expression in human colorectal tumor organoids and artificially mutation introduced organoids. To assess the expression profiling of genome-engineered organoids, we prepared total-RNA from cultured adenoma, carcinoma and genome-engineered organoids. We produced two types of genome-engineered organoids using the CRISPR/Cas9 or lentivirus vector system. Each engineered gene and engineered methods are described as a single alphabet and method name, respectively, in the sample characteristics field. The abbreviations for the engineered genes are as follows. 1) Genome-engineered organoids with CRISPR/Cas9 A = APC deletion; K = KRAS G12V knock in; S = Smad4 deletion; T = TP53 deletion; P = PIK3CA E545K knock in. 2) Genome-engineered organoids with Lent virus vector B = CTNNB1 S33Y overexpression; K = KRAS G12V overexpression; S = Smad4 shRNA overexpression; T = TP53 shRNA overexpression; P = PIK3CA E545K overexpression.
Project description:This study aims to investigate differentially expressed proteins in tumor pericytes derived from colorectal cancer patients with or without liver metastasis. Tumor pericytes were isolated from tumor of colorectal cancer patients with or without liver metastasis. Then, tumor pericytes were cultured and subjected to proteomic analysis. TCAF2 was significantly increased in tumor pericytes from liver metastasis patients.
Project description:We performed RNA-sequencing to investigate the gene expression profiles of colorectal cancer patient-derived organoids (PDO) and PDO-initiated spontaenous metastases mouse models