Literature DB >> 8738607

Human breast cancer cell line xenografts as models of breast cancer. The immunobiologies of recipient mice and the characteristics of several tumorigenic cell lines.

R Clarke1.   

Abstract

The ability to maintain and study human tissues in an in vivo environment has proved to be a valuable tool in breast cancer research for several decades. The most widely studied tissues have been xenografts of established human breast cancer cell lines into athymic nude mice. Human breast tumor xenografts provide the opportunity to study various important interactions between the tumor and host tissues, including endocrinologic, immunologic, and tumor-stroma interactions. The nude mouse is not the only immune-deficient recipient system in which to study xenografts. Additional single and combined mutant strains have been used successfully, including mice homozygous for the severe combined immune deficiency mutation (scid), both the beige (bg) and nude (nu) mutations in combination (bg/nu), and mice bearing the combined bg/nu/xid mutations. The differing immunobiologies are discussed, with particular reference to the immunobiology of breast cancer, as are the characteristics of several of the more frequently utilized breast cancer xenografts and cell lines. The ability of several endocrine treatments to modulate effectors of cell mediated immunity, e.g., estrogens and antiestrogens, and the effect of site of inoculation on tumor take and metastasis, also are described.

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Year:  1996        PMID: 8738607     DOI: 10.1007/BF01806079

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  133 in total

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Journal:  J Immunol       Date:  1975-08       Impact factor: 5.422

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Journal:  Eur J Cancer       Date:  1994       Impact factor: 9.162

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Journal:  Cancer       Date:  1980-08-15       Impact factor: 6.860

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Journal:  Cancer Res       Date:  1990-03-15       Impact factor: 12.701

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Journal:  Br J Cancer       Date:  1987-12       Impact factor: 7.640

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  31 in total

1.  Expression of molecular biomarkers in primary breast tumors implanted into a surrogate host: increased levels of cyclins correlate with tumor progression.

Authors:  G Wani; I Noyes; G E Milo; S M D'Ambrosio
Journal:  Mol Med       Date:  1997-04       Impact factor: 6.354

2.  Growth characteristics and metastatic properties of human breast cancer xenografts in immunodeficient mice.

Authors:  S Visonneau; A Cesano; M H Torosian; E J Miller; D Santoli
Journal:  Am J Pathol       Date:  1998-05       Impact factor: 4.307

Review 3.  Technical considerations for studying cancer metastasis in vivo.

Authors:  D R Welch
Journal:  Clin Exp Metastasis       Date:  1997-05       Impact factor: 5.150

Review 4.  Role of dietary fat on obesity-related postmenopausal breast cancer: insights from mouse models and methodological considerations.

Authors:  Pei Yee Tan; Kim Tiu Teng
Journal:  Breast Cancer       Date:  2021-03-09       Impact factor: 4.239

Review 5.  Steroid Hormone Receptor Positive Breast Cancer Patient-Derived Xenografts.

Authors:  Shawna B Matthews; Carol A Sartorius
Journal:  Horm Cancer       Date:  2016-10-28       Impact factor: 3.869

Review 6.  Role of dietary bioactive natural products in estrogen receptor-positive breast cancer.

Authors:  Min Ji Bak; Soumyasri Das Gupta; Joseph Wahler; Nanjoo Suh
Journal:  Semin Cancer Biol       Date:  2016-03-22       Impact factor: 15.707

7.  Patient-derived models of human breast cancer: protocols for in vitro and in vivo applications in tumor biology and translational medicine.

Authors:  Yoko S DeRose; Keith M Gligorich; Guoying Wang; Ann Georgelas; Paulette Bowman; Samir J Courdy; Alana L Welm; Bryan E Welm
Journal:  Curr Protoc Pharmacol       Date:  2013-03

Review 8.  Mouse models in liver cancer research: a review of current literature.

Authors:  Martijn W H Leenders; Maarten W Nijkamp; Inne H M Borel Rinkes
Journal:  World J Gastroenterol       Date:  2008-12-07       Impact factor: 5.742

9.  The role of preclinical animal models in breast cancer drug development.

Authors:  Robert Clarke
Journal:  Breast Cancer Res       Date:  2009-12-18       Impact factor: 6.466

10.  An improved model to study tumor cell autonomous metastasis programs using MTLn3 cells and the Rag2(-/-) gammac (-/-) mouse.

Authors:  Sylvia E Le Dévédec; Wies van Roosmalen; Naomi Maria; Max Grimbergen; Chantal Pont; Reshma Lalai; Bob van de Water
Journal:  Clin Exp Metastasis       Date:  2009-05-24       Impact factor: 5.150

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