| Title |
Establishment of a patient-derived intrahepatic cholangiocarcinoma xenograft model with KRAS mutation
|
|---|---|
| Published in |
BMC Cancer, February 2016
|
| DOI | 10.1186/s12885-016-2136-1 |
| Pubmed ID | |
| Authors |
Giuliana Cavalloni, Caterina Peraldo-Neia, Francesco Sassi, Giovanna Chiorino, Ivana Sarotto, Massimo Aglietta, Francesco Leone |
| Abstract |
Intrahepatic cholangiocarcinoma (ICC) is an aggressive, highly lethal tumors and lacks of effective chemo and targeted therapies. Cell lines and animal models, even partially reflecting tumor characteristics, have limits to study ICC biology and drug response. In this work, we created and characterized a novel ICC patient-derived xenograft (PDX) model of Italian origin. Seventeen primary ICC tumors derived from Italian patients were implanted into NOD (Non-Obese Diabetic)/Shi-SCID (severe combined immunodeficient) mice. To verify if the original tumor characteristics were maintained in PDX, immunohistochemical (cytokeratin 7, 17, 19, and epithelial membrane antigen) molecular (gene and microRNA expression profiling) and genetic analyses (comparative genomic hybridization array, and mutational analysis of the kinase domain of EGFR coding sequence, from exons 18 to 21, exons 2 to 4 of K-RAS, exons 2 to 4 of N-RAS, exons 9 and 20 of PI3KCA, and exon 15 of B-RAF) were performed after tumor stabilization. One out of 17 (5.8 %) tumors successfully engrafted in mice. A high molecular and genetic concordance between primary tumor (PR) and PDX was confirmed by the evaluation of biliary epithelial markers, tissue architecture, genetic aberrations (including K-RAS G12D mutation), and transcriptomic and microRNA profiles. For the first time, we established a new ICC PDX model which reflects the histology and genetic characteristics of the primary tumor; this model could represent a valuable tool to understand the tumor biology and the progression of ICC as well as to develop novel therapies for ICC patients. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| Unknown | 42 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 26% |
| Student > Master | 7 | 16% |
| Student > Ph. D. Student | 5 | 12% |
| Student > Postgraduate | 3 | 7% |
| Student > Bachelor | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 11 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 23% |
| Biochemistry, Genetics and Molecular Biology | 8 | 19% |
| Agricultural and Biological Sciences | 6 | 14% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
| Nursing and Health Professions | 1 | 2% |
| Other | 2 | 5% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 February 2016.
All research outputs
#18,439,846
of 22,846,662 outputs
Outputs from BMC Cancer
#5,432
of 8,314 outputs
Outputs of similar age
#290,284
of 400,570 outputs
Outputs of similar age from BMC Cancer
#117
of 189 outputs
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