Integrated multi-omics analysis reveals potential mechanisms of acquired resistance to erlotinib in head and neck cancer cells

Uncategorized
  1. Ankit P. Jain1, 2#,
  2. Krishna Patel1,3#,
  3. Sneha Pinto1,
  4. Vishalakshi Nanjappa1,
  5. Aneesha Radhakrishnan1,
  6. Anjali Kumari5,
  7. Malini Manoharan5,
  8. Coral Karunakaran5,
  9. Saktivel Murugan5,
  10. T.S. Keshava Prasad1,7,
  11. Premendu P. Mathur2,
  12. Bipin Nair3,
  13. Ravi Gupta5,
  14. Rohit Gupta5,
  15. Arati Khanna-Gupta5,
  16. David Sidransky6,
  17. Aditi Chatterjee1* ,
  18. Harsha Gowda1*

Authors Affiliation(s)

  • 1Institute of Bioinformatics, International Tech Park, Bangalore, INDIA
  • 2School of Biotechnology, KIIT University, Bhubaneswar, Odisha, INDIA
  • 3Amrita School of Biotechnology, Amrita University, Kollam, INDIA
  • 4Manipal University, Madhav Nagar, Manipal, INDIA
  • 5MedGenome, Bangalore, INDIA
  • 6Department of Otolaryngology Head and Neck Surgery; Johns Hopkins University School of Medicine; Baltimore, MD, USA
  • 7NIMHANS-IOB Proteomics and Bioinformatics Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neurosciences, Bangalore, INDIA
  • #These authors contributed equally to the manuscript

Can J Biotech, Volume 1, Special Issue, Page 61, DOI: https://doi.org/10.24870/cjb.2017-a48

Abstract

Epidermal growth factor receptor (EGFR) is overexpressed in 90% of head and neck squamous cell carcinomas (HNSCC). However, most clinical trials with tyrosine kinase inhibitors (TKIs) have shown modest response rates due to development of acquired resistance. We performed whole exome sequencing (WES) of an isogenic pair of erlotinib-sensitive (SCC-S) and resistant (SCC-R) HNSCC cell lines to elucidate the molecular mechanisms that govern acquired resistance to erlotinib. Exome sequencing resulted in identification of 148 non-synonymous single nucleotide variants (SNVs) in 139 genes and copy number alterations (CNA) (≥2 fold) affecting 339 genes in SCC-R cells compared to SCC-S cells. Comparison of SNVs from SCC-R against post-translational modification databases resulted in identification of loss of ubiquitinylation site at p.K57E in dual specificity mitogen-activated protein kinase kinase 1 (MAP2K1) which was validated using in-house high-throughput proteomic data. Substitution mutation K57N in MAP2K1 is shown to result in its constitutive activation and subsequent gefitinib resistance in lung adenocarcinoma. We also identified a well-known driver mutation p.G13R in Harvey rat sarcoma viral oncogene homolog (HRAS) (AllF: 20.41%). In addition, we also observed CNA in other genes of this pathway including RAC-beta serine/threonine-protein kinase (AKT2), glycogen synthase kinase-3 alpha (GSK3A), Rho guanine nucleotide exchange factor 1 (ARHGEF1) amongst others. Corresponding protein expression changes of these genes were also observed in proteomics data. Quantitative phosphoproteomics revealed hyperphosphorylation of other proteins involved in MAPK pathway such as serine/threonine-protein kinase B-raf (BRAF), MAP2K2, mitogen-activated protein kinases such as MAPK1 and MAPK3. Integrative multi-omic analysis revealed constitutive activation of key intermediates of MAPK pathway in SCC-R cells compared to SCC-S cells which may be essential in the development of acquired resistance to erlotinib in these cells. We hypothesize that combinatorial treatment regime involving inhibition of putative targets such as MAP2K1 with erlotinib therapy may aid in tackling acquired erlotinib resistance in HNSCC patients.