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Genomic Profiling of Patient-Derived Colon Cancer Xenograft Models
Recent evidence suggests that patient derived xenograft (PDX) models can maintain certain pathological and molecular features of the original disease. However, these characterizations are limited to immunohistochemistry or by tissue microarray analysis. We conducted a high-throughput sequencing of p...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer Health
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4603094/ https://www.ncbi.nlm.nih.gov/pubmed/25526474 http://dx.doi.org/10.1097/MD.0000000000000298 |
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author | Lee, Won-Suk Kim, Hye-Youn Seok, Jae Yeon Jang, Ho Hee Park, Yeon Ho Kim, So-Young Shin, Dong Bok Hong, Suntaek |
author_facet | Lee, Won-Suk Kim, Hye-Youn Seok, Jae Yeon Jang, Ho Hee Park, Yeon Ho Kim, So-Young Shin, Dong Bok Hong, Suntaek |
author_sort | Lee, Won-Suk |
collection | PubMed |
description | Recent evidence suggests that patient derived xenograft (PDX) models can maintain certain pathological and molecular features of the original disease. However, these characterizations are limited to immunohistochemistry or by tissue microarray analysis. We conducted a high-throughput sequencing of primary colon tumor and PDX has not been reported yet. Fresh primary colon cancer tissues that originate from surgery were implanted into the subcutaneous space of 6- to 8-week-old female BALB/c nu/nu or NOD/SCID mice and serially passaged in vivo. Ion AmpliSeq Cancer Hotspot Panel v2 (Ion Torrent) was used to detect frequent somatic mutations and similarity of molecular characteristics between the 10 patient tumors and matched PDX. Histologic and immunohistochemical analyses revealed a high degree of pathologic similarity including histologic architecture and expression of CEA, CK7, and CD20 between the patient and xenograft tumors. In 80% cases, all of the somatic mutations detected in primary tumor were concordantly detected in PDX models. However, 2 PDX models showed gained mutations such as PIK3CA or FBWX7 mutation. Ten patient-derived advanced colon cancer xenograft models were established. These models maintained the key characteristic features of the original tumors, suggesting useful tool for preclinical personalized medicine platform. |
format | Online Article Text |
id | pubmed-4603094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Wolters Kluwer Health |
record_format | MEDLINE/PubMed |
spelling | pubmed-46030942015-10-27 Genomic Profiling of Patient-Derived Colon Cancer Xenograft Models Lee, Won-Suk Kim, Hye-Youn Seok, Jae Yeon Jang, Ho Hee Park, Yeon Ho Kim, So-Young Shin, Dong Bok Hong, Suntaek Medicine (Baltimore) 5700 Recent evidence suggests that patient derived xenograft (PDX) models can maintain certain pathological and molecular features of the original disease. However, these characterizations are limited to immunohistochemistry or by tissue microarray analysis. We conducted a high-throughput sequencing of primary colon tumor and PDX has not been reported yet. Fresh primary colon cancer tissues that originate from surgery were implanted into the subcutaneous space of 6- to 8-week-old female BALB/c nu/nu or NOD/SCID mice and serially passaged in vivo. Ion AmpliSeq Cancer Hotspot Panel v2 (Ion Torrent) was used to detect frequent somatic mutations and similarity of molecular characteristics between the 10 patient tumors and matched PDX. Histologic and immunohistochemical analyses revealed a high degree of pathologic similarity including histologic architecture and expression of CEA, CK7, and CD20 between the patient and xenograft tumors. In 80% cases, all of the somatic mutations detected in primary tumor were concordantly detected in PDX models. However, 2 PDX models showed gained mutations such as PIK3CA or FBWX7 mutation. Ten patient-derived advanced colon cancer xenograft models were established. These models maintained the key characteristic features of the original tumors, suggesting useful tool for preclinical personalized medicine platform. Wolters Kluwer Health 2014-12-02 /pmc/articles/PMC4603094/ /pubmed/25526474 http://dx.doi.org/10.1097/MD.0000000000000298 Text en © 2014 Wolters Kluwer Health | Lippincott Williams & Wilkins http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. http://creativecommons.org/licenses/by/4.0 |
spellingShingle | 5700 Lee, Won-Suk Kim, Hye-Youn Seok, Jae Yeon Jang, Ho Hee Park, Yeon Ho Kim, So-Young Shin, Dong Bok Hong, Suntaek Genomic Profiling of Patient-Derived Colon Cancer Xenograft Models |
title | Genomic Profiling of Patient-Derived Colon Cancer Xenograft Models |
title_full | Genomic Profiling of Patient-Derived Colon Cancer Xenograft Models |
title_fullStr | Genomic Profiling of Patient-Derived Colon Cancer Xenograft Models |
title_full_unstemmed | Genomic Profiling of Patient-Derived Colon Cancer Xenograft Models |
title_short | Genomic Profiling of Patient-Derived Colon Cancer Xenograft Models |
title_sort | genomic profiling of patient-derived colon cancer xenograft models |
topic | 5700 |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4603094/ https://www.ncbi.nlm.nih.gov/pubmed/25526474 http://dx.doi.org/10.1097/MD.0000000000000298 |
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