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Journal of Cancer Research and Clinical Oncology

Erschienen in:

01.07.2013 | Original Paper

Microarray analyses reveal liver metastasis-related genes in metastatic colorectal cancer cell model

verfasst von: Qiang Chen, Lei Chen, Ren Zhao, Xiao-dong Yang, Khan Imran, Chun-gen Xing

Erschienen in: Journal of Cancer Research and Clinical Oncology | Ausgabe 7/2013

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Abstract

Purpose

To study the molecular mechanisms of colorectal cancer liver metastasis.

Methods

Cecal wall implantation was performed in nude mice to subclone a highly liver metastatic human colorectal cancer clone (SW1116-M) from SW1116. In vivo and in vitro assays were adopted to confirm the proliferation and metastasis potential. The human tumor metastasis PCR microarrays were used to analyze the differential gene expressions. The results were confirmed further by real-time quantitative PCR.

Results

SW1116-M and SW1116-S5, two human colon cancer cell clones with different metastatic potential, were subcloned from SW1116. In SW1116-M, in vitro invasion, migration and in vivo metastatic potential were higher, and in vitro proliferation rate was lower than SW1116-S5. In tumor metastasis PCR microarray, 24 genes related to cell invading, adhesion, cellular growth and differentiation were found with a twofold difference between SW1116-S5 and SW1116-M. Sixteen of these, including E-cadherins, MTSS1, TRAIL and TRPM1, were up-regulated; eight genes including cathepsin L, EphB2, HGF, MET, MCAM and RORβ were down-regulated.

Conclusions

We have established a highly liver metastatic clone. The subsequent metastasis PCR microarray analysis identified a procedure of cellular differentiation and mesenchymal to epithelial transition (MET) in liver metastasis. The colonization to from macrometastasis is not a switch from cell cycle arrest but a result of cell differentiation and MET.

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Titel: Microarray analyses reveal liver metastasis-related genes in metastatic colorectal cancer cell model
verfasst von: Qiang Chen
Lei Chen
Ren Zhao
Xiao-dong Yang
Khan Imran
Chun-gen Xing
Publikationsdatum: 01.07.2013
Verlag: Springer-Verlag
Erschienen in: Journal of Cancer Research and Clinical Oncology / Ausgabe 7/2013
Print ISSN: 0171-5216
Elektronische ISSN: 1432-1335
DOI: https://doi.org/10.1007/s00432-013-1424-2

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