Chapter title |
Patient-Derived Tumor Xenograft Models of Breast Cancer.
|
---|---|
Chapter number | 19 |
Book title |
Breast Cancer
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3444-7_19 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3442-3, 978-1-4939-3444-7
|
Authors |
Suarez, Christopher D, Littlepage, Laurie E, Christopher D. Suarez, Laurie E. Littlepage, Suarez, Christopher D., Littlepage, Laurie E. |
Abstract |
The need for model systems that more accurately predict patient outcome has led to a renewed interest and a rapid development of orthotopic transplantation models designed to grow, expand, and study patient-derived human breast tumor tissue in mice. After implanting a human breast tumor piece into a mouse mammary fat pad and allowing the tumor to grow in vivo, the tumor tissue can be either harvested and immediately implanted into mice or can be stored as tissue pieces in liquid nitrogen for surgical implantation at a later time. Here, we describe the process of surgically implanting patient-derived breast tumor tissue into the mammary gland of nonobese diabetic-severe combined immunodeficiency (NOD-SCID) mice and harvesting tumor tissue for long-term storage in liquid nitrogen. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 27 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 22% |
Other | 3 | 11% |
Student > Doctoral Student | 3 | 11% |
Researcher | 3 | 11% |
Student > Bachelor | 2 | 7% |
Other | 5 | 19% |
Unknown | 5 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 22% |
Medicine and Dentistry | 6 | 22% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
Unspecified | 2 | 7% |
Agricultural and Biological Sciences | 2 | 7% |
Other | 3 | 11% |
Unknown | 6 | 22% |