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Proteogenomics of Colorectal Cancer Liver Metastases: Complementing Precision Oncology with Phenotypic Data
Hotspot testing for activating KRAS mutations is used in precision oncology to select colorectal cancer (CRC) patients who are eligible for anti-EGFR treatment. However, even for KRAS(wildtype) tumors anti-EGFR response rates are <30%, while mutated-KRAS does not entirely rule out response, indic...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966481/ https://www.ncbi.nlm.nih.gov/pubmed/31805664 http://dx.doi.org/10.3390/cancers11121907 |
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author | Blank-Landeshammer, Bernhard Richard, Vincent R. Mitsa, Georgia Marques, Maud LeBlanc, André Kollipara, Laxmikanth Feldmann, Ingo Couetoux du Tertre, Mathilde Gambaro, Karen McNamara, Suzan Spatz, Alan Zahedi, René P. Sickmann, Albert Batist, Gerald Borchers, Christoph H. |
author_facet | Blank-Landeshammer, Bernhard Richard, Vincent R. Mitsa, Georgia Marques, Maud LeBlanc, André Kollipara, Laxmikanth Feldmann, Ingo Couetoux du Tertre, Mathilde Gambaro, Karen McNamara, Suzan Spatz, Alan Zahedi, René P. Sickmann, Albert Batist, Gerald Borchers, Christoph H. |
author_sort | Blank-Landeshammer, Bernhard |
collection | PubMed |
description | Hotspot testing for activating KRAS mutations is used in precision oncology to select colorectal cancer (CRC) patients who are eligible for anti-EGFR treatment. However, even for KRAS(wildtype) tumors anti-EGFR response rates are <30%, while mutated-KRAS does not entirely rule out response, indicating the need for improved patient stratification. We performed proteogenomic phenotyping of KRAS(wildtype) and KRAS(G12V) CRC liver metastases (mCRC). Among >9000 proteins we detected considerable expression changes including numerous proteins involved in progression and resistance in CRC. We identified peptides representing a number of predicted somatic mutations, including KRAS(G12V). For eight of these, we developed a multiplexed parallel reaction monitoring (PRM) mass spectrometry assay to precisely quantify the mutated and canonical protein variants. This allowed phenotyping of eight mCRC tumors and six paired healthy tissues, by determining mutation rates on the protein level. Total KRAS expression varied between tumors (0.47–1.01 fmol/µg total protein) and healthy tissues (0.13–0.64 fmol/µg). In KRAS(G12V)-mCRC, G12V-mutation levels were 42–100%, while one patient had only 10% KRAS(G12V) but 90% KRAS(wildtype). This might represent a missed therapeutic opportunity: based on hotspot sequencing, the patient was excluded from anti-EGFR treatment and instead received chemotherapy, while PRM-based tumor-phenotyping indicates the patient might have benefitted from anti-EGFR therapy. |
format | Online Article Text |
id | pubmed-6966481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69664812020-01-27 Proteogenomics of Colorectal Cancer Liver Metastases: Complementing Precision Oncology with Phenotypic Data Blank-Landeshammer, Bernhard Richard, Vincent R. Mitsa, Georgia Marques, Maud LeBlanc, André Kollipara, Laxmikanth Feldmann, Ingo Couetoux du Tertre, Mathilde Gambaro, Karen McNamara, Suzan Spatz, Alan Zahedi, René P. Sickmann, Albert Batist, Gerald Borchers, Christoph H. Cancers (Basel) Article Hotspot testing for activating KRAS mutations is used in precision oncology to select colorectal cancer (CRC) patients who are eligible for anti-EGFR treatment. However, even for KRAS(wildtype) tumors anti-EGFR response rates are <30%, while mutated-KRAS does not entirely rule out response, indicating the need for improved patient stratification. We performed proteogenomic phenotyping of KRAS(wildtype) and KRAS(G12V) CRC liver metastases (mCRC). Among >9000 proteins we detected considerable expression changes including numerous proteins involved in progression and resistance in CRC. We identified peptides representing a number of predicted somatic mutations, including KRAS(G12V). For eight of these, we developed a multiplexed parallel reaction monitoring (PRM) mass spectrometry assay to precisely quantify the mutated and canonical protein variants. This allowed phenotyping of eight mCRC tumors and six paired healthy tissues, by determining mutation rates on the protein level. Total KRAS expression varied between tumors (0.47–1.01 fmol/µg total protein) and healthy tissues (0.13–0.64 fmol/µg). In KRAS(G12V)-mCRC, G12V-mutation levels were 42–100%, while one patient had only 10% KRAS(G12V) but 90% KRAS(wildtype). This might represent a missed therapeutic opportunity: based on hotspot sequencing, the patient was excluded from anti-EGFR treatment and instead received chemotherapy, while PRM-based tumor-phenotyping indicates the patient might have benefitted from anti-EGFR therapy. MDPI 2019-12-01 /pmc/articles/PMC6966481/ /pubmed/31805664 http://dx.doi.org/10.3390/cancers11121907 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Blank-Landeshammer, Bernhard Richard, Vincent R. Mitsa, Georgia Marques, Maud LeBlanc, André Kollipara, Laxmikanth Feldmann, Ingo Couetoux du Tertre, Mathilde Gambaro, Karen McNamara, Suzan Spatz, Alan Zahedi, René P. Sickmann, Albert Batist, Gerald Borchers, Christoph H. Proteogenomics of Colorectal Cancer Liver Metastases: Complementing Precision Oncology with Phenotypic Data |
title | Proteogenomics of Colorectal Cancer Liver Metastases: Complementing Precision Oncology with Phenotypic Data |
title_full | Proteogenomics of Colorectal Cancer Liver Metastases: Complementing Precision Oncology with Phenotypic Data |
title_fullStr | Proteogenomics of Colorectal Cancer Liver Metastases: Complementing Precision Oncology with Phenotypic Data |
title_full_unstemmed | Proteogenomics of Colorectal Cancer Liver Metastases: Complementing Precision Oncology with Phenotypic Data |
title_short | Proteogenomics of Colorectal Cancer Liver Metastases: Complementing Precision Oncology with Phenotypic Data |
title_sort | proteogenomics of colorectal cancer liver metastases: complementing precision oncology with phenotypic data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6966481/ https://www.ncbi.nlm.nih.gov/pubmed/31805664 http://dx.doi.org/10.3390/cancers11121907 |
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