Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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
_version_ 1783488742997098496
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
work_keys_str_mv AT blanklandeshammerbernhard proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT richardvincentr proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT mitsageorgia proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT marquesmaud proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT leblancandre proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT kolliparalaxmikanth proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT feldmanningo proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT couetouxdutertremathilde proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT gambarokaren proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT mcnamarasuzan proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT spatzalan proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT zahedirenep proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT sickmannalbert proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT batistgerald proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata
AT borcherschristophh proteogenomicsofcolorectalcancerlivermetastasescomplementingprecisiononcologywithphenotypicdata