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Mass spectrometry in HNSCC—a peek at response prediction?

EGFR inhibitors provide benefit in patients with advanced and metastatic head and neck squamous cell carcinoma (HNSCC). Mass spectrometry profiling has been used to predict outcome in patients with HNSCC after EGFR inhibitor treatment, and may enable prior identification of patients most likely to benefit from these therapies. However, further validation in prospective studies is needed.

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References

  1. Taguchi, F. et al. Mass spectrometry to classify non-small cell lung cancer patients for clinical outcome after treatment with epidermal growth factor receptor tyrosine kinase inhibitors: a multicohort cross institutional study. J. Natl Cancer Inst. 99, 838–846 (2007).

    Article  CAS  Google Scholar 

  2. Carbone, D. P. et al. VeriStrat® classifier for survival and time to progression in non-small cell lung cancer (NSCLC) patients treated with erlotinib and bevacizumab. Lung Cancer doi: 10.1016/j.lungcan.2009.11.019

  3. Amann, J. M. et al. Genetic and proteomic features associated with survival after treatment with erlotinib in first-line therapy of non-small cell lung cancer in Eastern Cooperative Oncology Group 3503. J. Thorac. Oncol. 5, 169–178 (2010).

    Article  Google Scholar 

  4. Salmon, S. et al. Classification by mass spectrometry can accurately and reliably predict outcome in patients with non-small cell lung cancer treated with erlotinib-containing regimen. J. Thorac. Oncol. 4, 689−696 (2009).

  5. Chung, C. H. et al. Detection of tumor epidermal growth factor receptor pathway dependence by serum mass spectrometry in cancer patients. Cancer Epidemiol. Biomarkers Prev. 19, 358–365 (2010).

    Article  CAS  Google Scholar 

  6. Ocak, S., Chaurand, P. & Massion, P. P. Mass spectrometry-based profiling of lung cancer. Proc. Am. Thorac. Soc. 6, 159–170 (2009).

    Article  CAS  Google Scholar 

  7. Diamandis, E. P. Analysis of serum proteomic patterns for early cancer diagnosis: drawing attention to potential problems. J. Natl Cancer Inst. 96, 353–356 (2004).

    Article  Google Scholar 

  8. Bernier, J., Bentzen, S. M. & Vermorken, J. B. Molecular therapy in head and neck oncology. Nat. Rev. Clin. Oncol. 6, 266–277 (2009).

    Article  CAS  Google Scholar 

  9. Cooper, J. B. & Cohen, E. E. Mechanisms of resistance to EGFR inhibitors in head and neck cancer. Head Neck 31, 1086–1094 (2009).

    Article  Google Scholar 

  10. Govindan, R. INTERESTing biomarker to select IDEAL patients for epidermal growth factor receptor tyrosine kinase inhibitors: Yes, for EGFR mutation analysis, Others, I PASS. J. Clin. Oncol. 28, 713–715 (2010).

    Article  Google Scholar 

Download references

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Correspondence to D. Neil Hayes.

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Ang, MK., Hayes, D. Mass spectrometry in HNSCC—a peek at response prediction?. Nat Rev Clin Oncol 7, 193–195 (2010). https://doi.org/10.1038/nrclinonc.2010.35

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