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A Pilot Proteogenomic Study with Data Integration Identifies MCT1 and GLUT1 as Prognostic Markers in Lung Adenocarcinoma

Author

Listed:
  • Paul A Stewart
  • Katja Parapatics
  • Eric A Welsh
  • André C Müller
  • Haoyun Cao
  • Bin Fang
  • John M Koomen
  • Steven A Eschrich
  • Keiryn L Bennett
  • Eric B Haura

Abstract

We performed a pilot proteogenomic study to compare lung adenocarcinoma to lung squamous cell carcinoma using quantitative proteomics (6-plex TMT) combined with a customized Affymetrix GeneChip. Using MaxQuant software, we identified 51,001 unique peptides that mapped to 7,241 unique proteins and from these identified 6,373 genes with matching protein expression for further analysis. We found a minor correlation between gene expression and protein expression; both datasets were able to independently recapitulate known differences between the adenocarcinoma and squamous cell carcinoma subtypes. We found 565 proteins and 629 genes to be differentially expressed between adenocarcinoma and squamous cell carcinoma, with 113 of these consistently differentially expressed at both the gene and protein levels. We then compared our results to published adenocarcinoma versus squamous cell carcinoma proteomic data that we also processed with MaxQuant. We selected two proteins consistently overexpressed in squamous cell carcinoma in all studies, MCT1 (SLC16A1) and GLUT1 (SLC2A1), for further investigation. We found differential expression of these same proteins at the gene level in our study as well as in other public gene expression datasets. These findings combined with survival analysis of public datasets suggest that MCT1 and GLUT1 may be potential prognostic markers in adenocarcinoma and druggable targets in squamous cell carcinoma. Data are available via ProteomeXchange with identifier PXD002622.

Suggested Citation

  • Paul A Stewart & Katja Parapatics & Eric A Welsh & André C Müller & Haoyun Cao & Bin Fang & John M Koomen & Steven A Eschrich & Keiryn L Bennett & Eric B Haura, 2015. "A Pilot Proteogenomic Study with Data Integration Identifies MCT1 and GLUT1 as Prognostic Markers in Lung Adenocarcinoma," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-18, November.
  • Handle: RePEc:plo:pone00:0142162
    DOI: 10.1371/journal.pone.0142162
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    References listed on IDEAS

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    2. Balázs Győrffy & Pawel Surowiak & Jan Budczies & András Lánczky, 2013. "Online Survival Analysis Software to Assess the Prognostic Value of Biomarkers Using Transcriptomic Data in Non-Small-Cell Lung Cancer," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-8, December.
    3. Bing Zhang & Jing Wang & Xiaojing Wang & Jing Zhu & Qi Liu & Zhiao Shi & Matthew C. Chambers & Lisa J. Zimmerman & Kent F. Shaddox & Sangtae Kim & Sherri R. Davies & Sean Wang & Pei Wang & Christopher, 2014. "Proteogenomic characterization of human colon and rectal cancer," Nature, Nature, vol. 513(7518), pages 382-387, September.
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