Dataset Information

Pulmonary metastasis in xenograft model after orthotopic implantation

ABSTRACT: Metastasis is a major factor for mortality in patients with hepatocellular carcinoma (HCC). Thus, there is a need for predictive biomarker(s) for detecting the tipping point before metastasis, so as to prevent further deterioration. To discover early warning signals of pulmonary metastasis in HCC, we analysed time-series gene expression data in the spontaneous pulmonary metastasis mouse HCCLM3-RFP model with our novel dynamic network biomarker (DNB) method. To simulate tumour growth and metastasis in patient livers, we used the spontaneous pulmonary metastasis mouse model, HCCLM3-RFP, which involves the orthotopic transplanted human HCCLM3 cell line labelled with a stable fluorescent protein.We observed that, hepatic tumours in orthotopic xenograft HCCLM3-RFP mice grew gradually from the second to the fifth week after orthotopic implantation in the primary liver tissue, whereas spontaneous pulmonary metastasis occurredonly at the last time point (the fifth week after orthotopic implantation).Thus, we chose the second, third, fourth, and fifth weeks after orthotopic implantation as observation points to collect liver tumours of five orthotopic xenograft mice at each time point and to assess the whole-genome expression.

ORGANISM(S): Homo sapiens

PROVIDER: GSE94016 | GEO | 2017/06/01

SECONDARY ACCESSION(S): PRJNA363060

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Using the orthotopic breast cancer xenograft model of basal-like breast cancer MDA-MB-231 line, we have found that the expression of miRNAs encoded by MIR17HG was significantly decreased in cells isolated from spontaneous lung metastases compared to cells from primary tumors grown in orthotopic sites. We investigated the role of a MIR17HG family member, miR-18a, in primary tumor growth and pulmonary metastasis from the orthotopic site. We demonstrated that enforced expression of exogenous miR-18a, significantly limited continuous growth of primary tumors in mammary gland fat pads and reduced spontaneous lung metastasis. Further investigation on the mechanism of miR-18a action led to the finding that the expression of HIF1A, a key regulator of tumor metastasis, was regulated by miR-18a. Enforced miR-18a expression significantly decreased HIF1A expression at both mRNA and protein levels, resulting in altered transcriptional response and decreased survival of cells in response to Cobalt(II) chloride (CoCl2), a hypoxia-mimicking agent. Conversely, miR-18a knockdown significantly increased HIF1A expression levels and enhanced cell survival in response to CoCl2. Analysis of expression data of human breast tumor tissues showed that miR-18a expression is inversely correlated with HIF1A expression in basal-like breast tumors, supporting a role of miR-18a in restricting HIF1A expression in this subtype of breast cancer. In addition, we demonstrated that hypoxia inhibits miR-18a expression, likely through MYC inactivation. Furthermore, gene expression and functional analysis revealed that miR-18a also plays a role in regulating cell adhesion, migration and invasion. Taken together, this study provides evidence for a novel role of miR-18a to inhibit breast cancer metastasis. Our results suggest that miR-18a downregulation might provide tumor cells survival/growth advantage under hypoxic pressure in basal-like breast cancer. A lung metastatic subline, designated as MB231RN-LM, was derived from MDA-MB-231 breast cancer cells through in vivo selection. The MB231RN-LM cells were stably transfected with has-miR-18a or control vector and treated with 200uM Cobalt(II) chloride (CoCl2, a hypoxia-mimicking agent) for 4 hr. A total of 8 samples were subjected to microarray analysis, with two biological repeats for each experiment condition.

Dataset Information

Pulmonary metastasis in xenograft model after orthotopic implantation

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets