1. Patient-derived xenograft (PDX) models of colorectal carcinoma (CRC) as a platform for chemosensitivity and biomarker analysis in personalized medicine
- Author
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Wolfgang Walther, Annika Wulf-Goldenberg, Ulrike Stein, Johannes Merk, Iduna Fichtner, Keziban M. Alp, Giannino Patone, Tamara Kanashova, Christine Sers, Philipp Mertins, Maria Rivera, and Jens Hoffmann
- Subjects
Proteomics ,0301 basic medicine ,Cancer Research ,Proteome ,Colorectal cancer ,Fluorescent Antibody Technique ,TP53, tumor protein p53 ,Proto-Oncogene Mas ,EREG, epiregulin ,Metastasis ,Mice ,0302 clinical medicine ,BTC, betacellulin ,Molecular Targeted Therapy ,Epidermal growth factor receptor ,Precision Medicine ,biology ,Cetuximab ,GCN, gene copy number ,TDT, tumor doubling time ,APC, adenomatous polyposis coli ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Immunohistochemistry ,Primary tumor ,Colorectal carcinoma ,EpCAM, epithelial cell adhesion molecule ,030220 oncology & carcinogenesis ,CRC, colorectal cancer ,BRAF, proto-oncogene B-RAF ,Heterografts ,AKT, Serine threonine protein kinase AKT ,Erlotinib ,AREG, Amphiregulin ,Technology Platforms ,Colorectal Neoplasms ,TNM, tumor nodule metastasis classification ,medicine.drug ,Original article ,endocrine system ,DNA Copy Number Variations ,TGFα, transforming growth factor alfa ,In vivo drug testing ,Antineoplastic Agents ,KRAS, Kirsten rat sarcoma virus oncogene homolog ,mTOR, mammalian target of rapamycin ,PIK3CA, phosphatidylinositol-4,5-bisphosphate 3-kinaseM catalytic subunit alfa ,lcsh:RC254-282 ,Genomic Instability ,NSG mice, NOD scid gamma mice ,03 medical and health sciences ,PDX, patient derived xenograft ,Biomarkers, Tumor ,medicine ,Animals ,Humans ,IHC, imunno histochemistry ,neoplasms ,FFPE, formalin fixed paraffin embedded ,EGF, epidermal growth factor ,Betacellulin ,Oncogene ,business.industry ,Gene Expression Profiling ,medicine.disease ,Xenograft Model Antitumor Assays ,Personalized medicine ,c-MET, tyrosine protein kinase MET ,digestive system diseases ,EGFR, epidermal growth factor receptor ,030104 developmental biology ,Drug Resistance, Neoplasm ,Patient-derived xenograft models ,T/C, treated to control value ,Mutation ,Cancer research ,biology.protein ,5-FU, 5-fluorouracil ,HER2,3,4, human epidermal growth factor receptor 2,3,4 ,business ,MAPK, mitogen activated protein kinase - Abstract
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.
- Published
- 2021
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