date: 2021-11-30T11:56:00Z pdf:unmappedUnicodeCharsPerPage: 17 pdf:PDFVersion: 1.7 pdf:docinfo:title: Modeling of Personalized Treatments in Colon Cancer Based on Preclinical Genomic and Drug Sensitivity Data xmp:CreatorTool: LaTeX with hyperref Keywords: colon cancer; personalized treatment; drug combinations access_permission:modify_annotations: true access_permission:can_print_degraded: true subject: The current standard therapies for advanced, recurrent or metastatic colon cancer are the 5-fluorouracil and oxaliplatin or irinotecan schedules (FOxFI) +/- targeted drugs cetuximab or bevacizumab. Treatment with the FOxFI cytotoxic chemotherapy regimens causes significant toxicity and might induce secondary cancers. The overall low efficacy of the targeted drugs seen in colon cancer patients still is hindering the substitution of the chemotherapy. The ONCOTRACK project developed a strategy to identify predictive biomarkers based on a systems biology approach, using omics technologies to identify signatures for personalized treatment based on single drug response data. Here, we describe a follow-up project focusing on target-specific drug combinations. Background for this experimental preclinical study was that, by analyzing the tumor growth inhibition in the PDX models by cetuximab treatment, a broad heterogenic response from complete regression to tumor growth stimulation was observed. To provide confirmation of the hypothesis that drug combinations blocking alternatively activated oncogenic pathways may improve therapy outcomes, 25 models out of the well-characterized ONCOTRACK PDX panel were subjected to treatment with a drug combination scheme using four approved, targeted cancer drugs. dc:creator: Marlen Keil, Theresia Conrad, Michael Becker, Ulrich Keilholz, Marie-Laure Yaspo, Hans Lehrach, Moritz Schütte, Johannes Haybaeck and Jens Hoffmann dcterms:created: 2021-11-30T11:47:26Z Last-Modified: 2021-11-30T11:56:00Z dcterms:modified: 2021-11-30T11:56:00Z dc:format: application/pdf; version=1.7 title: Modeling of Personalized Treatments in Colon Cancer Based on Preclinical Genomic and Drug Sensitivity Data Last-Save-Date: 2021-11-30T11:56:00Z pdf:docinfo:creator_tool: LaTeX with hyperref access_permission:fill_in_form: true pdf:docinfo:keywords: colon cancer; personalized treatment; drug combinations pdf:docinfo:modified: 2021-11-30T11:56:00Z meta:save-date: 2021-11-30T11:56:00Z pdf:encrypted: false dc:title: Modeling of Personalized Treatments in Colon Cancer Based on Preclinical Genomic and Drug Sensitivity Data modified: 2021-11-30T11:56:00Z cp:subject: The current standard therapies for advanced, recurrent or metastatic colon cancer are the 5-fluorouracil and oxaliplatin or irinotecan schedules (FOxFI) +/- targeted drugs cetuximab or bevacizumab. Treatment with the FOxFI cytotoxic chemotherapy regimens causes significant toxicity and might induce secondary cancers. The overall low efficacy of the targeted drugs seen in colon cancer patients still is hindering the substitution of the chemotherapy. The ONCOTRACK project developed a strategy to identify predictive biomarkers based on a systems biology approach, using omics technologies to identify signatures for personalized treatment based on single drug response data. Here, we describe a follow-up project focusing on target-specific drug combinations. Background for this experimental preclinical study was that, by analyzing the tumor growth inhibition in the PDX models by cetuximab treatment, a broad heterogenic response from complete regression to tumor growth stimulation was observed. To provide confirmation of the hypothesis that drug combinations blocking alternatively activated oncogenic pathways may improve therapy outcomes, 25 models out of the well-characterized ONCOTRACK PDX panel were subjected to treatment with a drug combination scheme using four approved, targeted cancer drugs. pdf:docinfo:subject: The current standard therapies for advanced, recurrent or metastatic colon cancer are the 5-fluorouracil and oxaliplatin or irinotecan schedules (FOxFI) +/- targeted drugs cetuximab or bevacizumab. Treatment with the FOxFI cytotoxic chemotherapy regimens causes significant toxicity and might induce secondary cancers. The overall low efficacy of the targeted drugs seen in colon cancer patients still is hindering the substitution of the chemotherapy. The ONCOTRACK project developed a strategy to identify predictive biomarkers based on a systems biology approach, using omics technologies to identify signatures for personalized treatment based on single drug response data. Here, we describe a follow-up project focusing on target-specific drug combinations. Background for this experimental preclinical study was that, by analyzing the tumor growth inhibition in the PDX models by cetuximab treatment, a broad heterogenic response from complete regression to tumor growth stimulation was observed. To provide confirmation of the hypothesis that drug combinations blocking alternatively activated oncogenic pathways may improve therapy outcomes, 25 models out of the well-characterized ONCOTRACK PDX panel were subjected to treatment with a drug combination scheme using four approved, targeted cancer drugs. Content-Type: application/pdf pdf:docinfo:creator: Marlen Keil, Theresia Conrad, Michael Becker, Ulrich Keilholz, Marie-Laure Yaspo, Hans Lehrach, Moritz Schütte, Johannes Haybaeck and Jens Hoffmann X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Marlen Keil, Theresia Conrad, Michael Becker, Ulrich Keilholz, Marie-Laure Yaspo, Hans Lehrach, Moritz Schütte, Johannes Haybaeck and Jens Hoffmann meta:author: Marlen Keil, Theresia Conrad, Michael Becker, Ulrich Keilholz, Marie-Laure Yaspo, Hans Lehrach, Moritz Schütte, Johannes Haybaeck and Jens Hoffmann dc:subject: colon cancer; personalized treatment; drug combinations meta:creation-date: 2021-11-30T11:47:26Z created: 2021-11-30T11:47:26Z access_permission:extract_for_accessibility: true access_permission:assemble_document: true xmpTPg:NPages: 13 Creation-Date: 2021-11-30T11:47:26Z pdf:charsPerPage: 4015 access_permission:extract_content: true access_permission:can_print: true meta:keyword: colon cancer; personalized treatment; drug combinations Author: Marlen Keil, Theresia Conrad, Michael Becker, Ulrich Keilholz, Marie-Laure Yaspo, Hans Lehrach, Moritz Schütte, Johannes Haybaeck and Jens Hoffmann producer: pdfTeX-1.40.21 access_permission:can_modify: true pdf:docinfo:producer: pdfTeX-1.40.21 pdf:docinfo:created: 2021-11-30T11:47:26Z