MALDI-MS derived prognostic protein markers for resected non-small cell lung cancer

Baogang J. Xu, Adriana L. Gonzalez, Takefumi Kikuchi, Kiyoshi Yanagisawa, Pierre P. Massion, Huiyun Wu, Stephen E. Mason, Sandy J. Olson, Yu Shyr, David P. Carbone, Richard M. Caprioli

Research output: Contribution to journalArticlepeer-review

21 Citations (Scopus)

Abstract

Protein signals obtained directly from frozen lung tissue sections using MALDI-MS were used to predict nodal involvement and survival in resected non-small cell lung cancer (NSCLC). We have identified a list of these protein signals and further evaluated their prognostic values for NSCLC using immunohistochemistry (IHC). Kaplan-Meier analysis was used to assess the mortality risk associated with the prognostic protein IHC-staining intensities. The combined IHC scores of calmodulin, thymosin β4, and thymosin β10 were found to be correlated with NSCLC patient survival (p = 0.004). Furthermore, low cofilin-1 IHC-staining intensity was found to be correlated with a better outcome for patients with negative lymph node status (p = 0.006) while high cofilin-1 IHC-staining intensity was found to be correlated with a better outcome for patients with positive node status (p = 0.034). In conclusion, the prognostic protein signals selected using MALDI-MS can be identified and tested by IHC in formalin-fixed tissue samples. MALDI-MS-derived protein signals can be potentially translated to a conventional clinical setting to aid in the prognosis of patients with NSCLC at the molecular level.

Original languageEnglish
Pages (from-to)1508-1517
Number of pages10
JournalProteomics - Clinical Applications
Volume2
Issue number10-11
DOIs
Publication statusPublished - 2008

All Science Journal Classification (ASJC) codes

  • Clinical Biochemistry

Fingerprint

Dive into the research topics of 'MALDI-MS derived prognostic protein markers for resected non-small cell lung cancer'. Together they form a unique fingerprint.

Cite this