Abstract

Protein biomarkers are widely used in cancer diagnosis, prognosis, and prediction of treatment response. Here we introduce the use of targeted multiplex proteomics (TMP) as a tool to simultaneously measure a panel of 54 proteins involved in oncogenic, tumour suppression, drug metabolism and resistance, in patients with metastatic colorectal cancer (mCRC). TMP provided valuable diagnostic information by unmasking an occult neuroendocrine differentiation and identifying a misclassified case based on abnormal proteins phenotype. No significant differences in protein levels between unpaired primary and metastatic samples were observed. Four proteins were found differentially expressed in KRAS-mutant as compared to wild-type tumours (overexpressed in mutant: KRAS, EGFR; overexpressed in wild-type: TOPO1, TOP2A). Survival analyses revealed the association between mesothelin expression and poor overall survival, whereas lack of PTEN protein expression associated with lower progression-free survival with anti-EGFR-based therapy in the first-line setting for patients with RAS wild-type tumour. Finally, outlier analysis identified putative targetable proteins in 65% of patients lacking a targetable genomic alteration. Our data show that TMP constitutes a promising, novel molecular prescreening tool in mCRC to identify protein expression alterations that may impact on patient outcomes and more precisely guide patient eligibility to clinical trials with novel targeted experimental therapies.

Details

Title
Targeted multiplex proteomics for molecular prescreening and biomarker discovery in metastatic colorectal cancer
Author
Serna, Garazi 1 ; Ruiz-Pace, Fiorella 2 ; Cecchi, Fabiola 3 ; Fasani, Roberta 1 ; Jimenez, Jose 1 ; Thyparambil, Sheeno 3 ; Landolfi, Stefania 4   VIAFID ORCID Logo  ; Elez, Elena 5 ; Vivancos, Ana 6 ; Hembrough, Todd 3 ; Tabernero, Josep 5   VIAFID ORCID Logo  ; Dienstmann, Rodrigo 2 ; Nuciforo, Paolo 1   VIAFID ORCID Logo 

 Molecular Oncology Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain 
 Oncology Data Science Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain 
 NantOmics, LLC, Rockville, MD, USA 
 Pathology Department, Vall d’Hebron University Hospital, CIBERONC, Barcelona, Spain 
 Medical Oncology Department, Vall d’Hebron University Hospital, Barcelona, Spain 
 Genomics Group, Vall d’Hebron Institute of Oncology, Barcelona, Spain 
Pages
1-10
Publication year
2019
Publication date
Sep 2019
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2293851887
Copyright
© 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.