Cargando…

Patient-derived xenograft (PDX) models of colorectal carcinoma (CRC) as a platform for chemosensitivity and biomarker analysis in personalized medicine

Patient-derived xenograft (PDX) tumor models represent a valuable platform for identifying new biomarkers and novel targets, to evaluate therapy response and resistance mechanisms. This study aimed at establishment, characterization and therapy testing of colorectal carcinoma-derived PDX. We generat...

Descripción completa

Detalles Bibliográficos
Autores principales: Rivera, Maria, Fichtner, Iduna, Wulf-Goldenberg, Annika, Sers, Christine, Merk, Johannes, Patone, Giannino, Alp, Keziban M., Kanashova, Tamara, Mertins, Philipp, Hoffmann, Jens, Stein, Ulrike, Walther, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680704/
https://www.ncbi.nlm.nih.gov/pubmed/33212364
http://dx.doi.org/10.1016/j.neo.2020.11.005
_version_ 1783612486854901760
author Rivera, Maria
Fichtner, Iduna
Wulf-Goldenberg, Annika
Sers, Christine
Merk, Johannes
Patone, Giannino
Alp, Keziban M.
Kanashova, Tamara
Mertins, Philipp
Hoffmann, Jens
Stein, Ulrike
Walther, Wolfgang
author_facet Rivera, Maria
Fichtner, Iduna
Wulf-Goldenberg, Annika
Sers, Christine
Merk, Johannes
Patone, Giannino
Alp, Keziban M.
Kanashova, Tamara
Mertins, Philipp
Hoffmann, Jens
Stein, Ulrike
Walther, Wolfgang
author_sort Rivera, Maria
collection PubMed
description Patient-derived xenograft (PDX) tumor models represent a valuable platform for identifying new biomarkers and novel targets, to evaluate therapy response and resistance mechanisms. This study aimed at establishment, characterization and therapy testing of colorectal carcinoma-derived PDX. We generated 49 PDX and validated identity between patient tumor and corresponding PDX. Sensitivity of PDX toward conventional and targeted drugs revealed that 92% of PDX responded toward irinotecan, 45% toward 5-FU, 65% toward bevacizumab, and 61% toward cetuximab. Expression of epidermal growth factor receptor (EGFR) ligands correlated to the sensitivity toward cetuximab. Proto-oncogene B-RAF, EGFR, Kirsten rat sarcoma virus oncogene homolog gene copy number correlated positively with cetuximab and erlotinib sensitivity. The mutational analyses revealed an individual mutational profile of PDX and mainly identical profiles of PDX from primary tumor vs corresponding metastasis. Mutation in PIK3CA was a determinant of accelerated tumor doubling time. PDX with wildtype Kirsten rat sarcoma virus oncogene homolog, proto-oncogene B-RAF, and phosphatidylinositol-4,5-bisphosphate 3-kinaseM catalytic subunit alfa showed higher sensitivity toward cetuximab and erlotinib. To study the molecular mechanism of cetuximab resistance, cetuximab resistant PDX models were generated, and changes in HER2, HER3, betacellulin, transforming growth factor alfa were observed. Global proteome and phosphoproteome profiling showed a reduction in canonical EGFR-mediated signaling via PTPN11 (SHP2) and AKT1S1 (PRAS40) and an increase in anti-apoptotic signaling as a consequence of acquired cetuximab resistance. This demonstrates that PDX models provide a multitude of possibilities to identify and validate biomarkers, signaling pathways and resistance mechanisms for clinically relevant improvement in cancer therapy.
format Online
Article
Text
id pubmed-7680704
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Neoplasia Press
record_format MEDLINE/PubMed
spelling pubmed-76807042020-12-07 Patient-derived xenograft (PDX) models of colorectal carcinoma (CRC) as a platform for chemosensitivity and biomarker analysis in personalized medicine Rivera, Maria Fichtner, Iduna Wulf-Goldenberg, Annika Sers, Christine Merk, Johannes Patone, Giannino Alp, Keziban M. Kanashova, Tamara Mertins, Philipp Hoffmann, Jens Stein, Ulrike Walther, Wolfgang Neoplasia Original article Patient-derived xenograft (PDX) tumor models represent a valuable platform for identifying new biomarkers and novel targets, to evaluate therapy response and resistance mechanisms. This study aimed at establishment, characterization and therapy testing of colorectal carcinoma-derived PDX. We generated 49 PDX and validated identity between patient tumor and corresponding PDX. Sensitivity of PDX toward conventional and targeted drugs revealed that 92% of PDX responded toward irinotecan, 45% toward 5-FU, 65% toward bevacizumab, and 61% toward cetuximab. Expression of epidermal growth factor receptor (EGFR) ligands correlated to the sensitivity toward cetuximab. Proto-oncogene B-RAF, EGFR, Kirsten rat sarcoma virus oncogene homolog gene copy number correlated positively with cetuximab and erlotinib sensitivity. The mutational analyses revealed an individual mutational profile of PDX and mainly identical profiles of PDX from primary tumor vs corresponding metastasis. Mutation in PIK3CA was a determinant of accelerated tumor doubling time. PDX with wildtype Kirsten rat sarcoma virus oncogene homolog, proto-oncogene B-RAF, and phosphatidylinositol-4,5-bisphosphate 3-kinaseM catalytic subunit alfa showed higher sensitivity toward cetuximab and erlotinib. To study the molecular mechanism of cetuximab resistance, cetuximab resistant PDX models were generated, and changes in HER2, HER3, betacellulin, transforming growth factor alfa were observed. Global proteome and phosphoproteome profiling showed a reduction in canonical EGFR-mediated signaling via PTPN11 (SHP2) and AKT1S1 (PRAS40) and an increase in anti-apoptotic signaling as a consequence of acquired cetuximab resistance. This demonstrates that PDX models provide a multitude of possibilities to identify and validate biomarkers, signaling pathways and resistance mechanisms for clinically relevant improvement in cancer therapy. Neoplasia Press 2020-11-16 /pmc/articles/PMC7680704/ /pubmed/33212364 http://dx.doi.org/10.1016/j.neo.2020.11.005 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original article
Rivera, Maria
Fichtner, Iduna
Wulf-Goldenberg, Annika
Sers, Christine
Merk, Johannes
Patone, Giannino
Alp, Keziban M.
Kanashova, Tamara
Mertins, Philipp
Hoffmann, Jens
Stein, Ulrike
Walther, Wolfgang
Patient-derived xenograft (PDX) models of colorectal carcinoma (CRC) as a platform for chemosensitivity and biomarker analysis in personalized medicine
title Patient-derived xenograft (PDX) models of colorectal carcinoma (CRC) as a platform for chemosensitivity and biomarker analysis in personalized medicine
title_full Patient-derived xenograft (PDX) models of colorectal carcinoma (CRC) as a platform for chemosensitivity and biomarker analysis in personalized medicine
title_fullStr Patient-derived xenograft (PDX) models of colorectal carcinoma (CRC) as a platform for chemosensitivity and biomarker analysis in personalized medicine
title_full_unstemmed Patient-derived xenograft (PDX) models of colorectal carcinoma (CRC) as a platform for chemosensitivity and biomarker analysis in personalized medicine
title_short Patient-derived xenograft (PDX) models of colorectal carcinoma (CRC) as a platform for chemosensitivity and biomarker analysis in personalized medicine
title_sort patient-derived xenograft (pdx) models of colorectal carcinoma (crc) as a platform for chemosensitivity and biomarker analysis in personalized medicine
topic Original article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7680704/
https://www.ncbi.nlm.nih.gov/pubmed/33212364
http://dx.doi.org/10.1016/j.neo.2020.11.005
work_keys_str_mv AT riveramaria patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT fichtneriduna patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT wulfgoldenbergannika patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT serschristine patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT merkjohannes patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT patonegiannino patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT alpkezibanm patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT kanashovatamara patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT mertinsphilipp patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT hoffmannjens patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT steinulrike patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine
AT waltherwolfgang patientderivedxenograftpdxmodelsofcolorectalcarcinomacrcasaplatformforchemosensitivityandbiomarkeranalysisinpersonalizedmedicine