Differential protein expression profile in gastrointestinal stromal tumors

Phosphoinositide 3-kinase inhibitors combined with imatinib in patient-derived xenograft models of gastrointestinal stromal tumors: rationale and efficacy

INTRODUCTION

The PI3K signaling pathway drives tumor cell proliferation and survival in gastrointestinal stromal tumor (GIST). We tested the in vivo efficacy of three PI3K inhibitors (PI3Ki) in patient-derived GIST xenograft models.

EXPERIMENTAL DESIGN

One hundred and sixty-eight nude mice were grafted with human GIST carrying diverse KIT genotypes and PTEN genomic status. Animals were dosed orally for two weeks as follows: control group (untreated); imatinib (IMA); PI3Ki (BKM120-buparlisib, BEZ235, or BYL719) or combinations of imatinib with a PI3Ki. Western blotting, histopathology, and tumor volume evolution were used for the assessment of treatment efficacy. Furthermore, tumor regrowth was evaluated for three weeks after treatment cessation.

RESULTS

PI3Ki monotherapy showed a significant antitumor effect, reflected in tumor volume reduction or stabilization, inhibitory effects on mitotic activity, and PI3K signaling inhibition. The IMA+PI3Ki combination remarkably improved the efficacy of either single-agent treatment with more pronounced tumor volume reduction and enhanced proapoptotic effects over either single agent. Response to IMA+PI3Ki was found to depend on the KIT genotype and specific model-related molecular characteristics.

CONCLUSION

IMA+PI3Ki has significant antitumor efficacy in GIST xenografts as compared with single-agent treatment, resulting in more prominent tumor volume reduction and enhanced induction of apoptosis. Categorization of GIST based on KIT genotype and PI3K/PTEN genomic status combined with dose optimization is suggested for patient selection for clinical trials exploring such combinations.

Technology insight: the application of proteomics in gastrointestinal disease

Analysis of the human genome has increased our knowledge of the genes that are associated with disease. At the same time, however, it has become clear that having complete DNA sequences alone is not sufficient to elucidate the biological functions of the proteins that they encode. For this reason, proteomics-the analysis of proteins-has become increasingly attractive, because the proteome reflects both the intrinsic genetic programming of a cell and the impact of its immediate environment. The principal goals of clinical proteomics are to identify biomarkers for the early diagnosis of disease and potential targets for therapeutic intervention. Other goals include the identification of biomarkers for the early detection of disease recurrence (relapse) and how they might be combined with diagnostic imaging techniques to improve the sensitivity for detecting disease. This Review describes conventional proteomic technologies, their strengths and limitations, and demonstrates their application to clinical practice, with specific reference to their use in the gastroenterology field.

Proteomics in cancer research: Methods and application of array-based protein profiling technologies

With the human genome sequence now determined, the field of molecular medicine is moving beyond genomics to proteomics, the large-scale analysis of proteins. It is now possible to examine the expression of more than 1000 proteins using mass spectrometry technology coupled with various separation methods. Microarray technology is a new and efficient approach, for extracting relevant biomedical data and has a wide range of applications. It provides a versatile tool to study protein-protein, protein-nucleic acid, protein-lipid, enzyme-substrate and protein-drug interactions. This review paper will explore the key themes in proteomics and their application in clinical cancer research.