Retinoic acid receptor beta2 inhibition of metastasis in mouse mammary gland xenografts.


Journal Article

The retinoic acid receptor beta2 (RARbeta2) protein is a putative tumor suppressor that inhibits proliferation and can induce apoptosis when introduced into breast, cervical, lung, and pancreatic cancer cell lines. To determine if RARbeta2 suppresses proliferation of mammary-derived cancer cells in vivo, we transduced MDA-MB-435 breast cancer cells with the LXSN retroviral vector containing RARbeta2 and implanted LXSN vector- or RARbeta2-transduced cells into the mammary fat pads of nude and severe combined immune deficiency (SCID) mice. We analyzed the xenografts for several tumor parameters, including tumor size, inflammation, vascularity, mitoses, tumor recurrence at the primary site following resection, and metastases. We found that 19 of 52 mice inoculated with vector-transduced cells developed metastases in multiple organs while only one of 55 mice receiving RARbeta2-transduced cells displayed evidence of metastases (p < 0.000001, combined experiments, two-tailed Fisher's exact test). Moreover, RARbeta2-tumor cell recipient mice had a lower incidence of post-resection tumor recurrence (8/55 vs. 25/52, p = 0.0004), 34% less necrosis (in three of four experiments, p = 0.001), and 39% fewer mitoses in tumor tissue (p < 0.000001). Our findings suggest that RARbeta2 may play a role in inhibiting the metastatic cascade in a mouse mammary gland xenograft tumor model and is a potential candidate for therapeutic intervention in human breast cancer.

Full Text

Cited Authors

  • Treuting, PM; Chen, LI; Buetow, BS; Zeng, W; Birkebak, TA; Seewaldt, VL; Sommer, KM; Emond, M; Maggio-Price, L; Swisshelm, K

Published Date

  • March 2002

Published In

Volume / Issue

  • 72 / 1

Start / End Page

  • 79 - 88

PubMed ID

  • 12000222

Pubmed Central ID

  • 12000222

Electronic International Standard Serial Number (EISSN)

  • 1573-7217

International Standard Serial Number (ISSN)

  • 0167-6806

Digital Object Identifier (DOI)

  • 10.1023/a:1014906529407


  • eng