Protein drug target activation homogeneity in the face of intra-tumor heterogeneity: implications for precision medicine

  • Erika Maria Parasido
  • , Alessandra Silvestri
  • , Vincenzo Canzonieri
  • , Claudio Belluco
  • , Maria Grazia Diodoro
  • , Massimo Milione
  • , Flavia Melotti
  • , Ruggero De Maria Marchiano
  • , Lance Liotta
  • , Emanuel F Petricoin
  • , Mariaelena Pierobon*
  • *Autore corrispondente per questo lavoro

Risultato della ricerca: Contributo in rivistaArticolopeer review

6 Citazioni (Scopus)

Abstract

INTRODUCTION: Recent studies indicated tumors may be comprised of heterogeneous\r\nmolecular subtypes and incongruent molecular portraits may emerge if different\r\nareas of the tumor are sampled. This study explored the impact of intra-tumoral\r\nheterogeneity in terms of activation/phosphorylation of FDA approved drug targets\r\nand downstream kinase substrates.\r\nMATERIAL AND METHODS: Two independent sets of liver metastases from colorectal\r\ncancer were used to evaluate protein kinase-driven signaling networks within\r\ndifferent areas using laser capture microdissection and reverse phase protein\r\narray.\r\nRESULTS: Unsupervised hierarchical clustering analysis indicated that the\r\nsignaling architecture and activation of the MAPK and AKT-mTOR pathways were\r\nconsistently maintained within different regions of the same biopsy.\r\nIntra-patient variability of the MAPK and AKT-mTOR pathway were <1.06 fold\r\nchange, while inter-patients variability reached fold change values of 5.01.\r\nCONCLUSIONS: Protein pathway activation mapping of enriched tumor cells obtained \r\nfrom different regions of the same tumor indicated consistency and robustness\r\nindependent of the region sampled. This suggests a dominant protein pathway\r\nnetwork may be activated in a high percentage of the tumor cell population. Given\r\nthe genomic intra-tumoral variability, our data suggest that\r\nprotein/phosphoprotein signaling measurements should be integrated with genomic\r\nanalysis for precision medicine based analysis.
Lingua originaleInglese
pagine (da-a)N/A-N/A
RivistaOncotarget
Volume2016
Numero di pubblicazioneN/A
DOI
Stato di pubblicazionePubblicato - 2016

All Science Journal Classification (ASJC) codes

  • Oncologia

Keywords

  • intra-tumor heterogeneity
  • kinase signaling
  • laser capture microdissection
  • personalized therapy
  • reverse phase protein microarray

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