Quantitative Proteomics Profiling of Primary Lung Adenocarcinoma Tumors Reveals Functional Perturbations in Tumor Metabolism

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Quantitative Proteomics Profiling of Primary Lung Adenocarcinoma Tumors Reveals Functional Perturbations in Tumor Metabolism. / Pernemalm, Maria; De Petris, Luigi; Branca, Rui M.; Forshed, Jenny; Kanter, Lena; Soria, Jean-Charles; Girard, Philippe; Validire, Pierre; Pawitan, Yudi; van den Oord, Joost; Lazar, Vladimir; Påhlman, Sven; Lewensohn, Rolf; Lehtio, Janne.

In: Journal of Proteome Research, Vol. 12, No. 9, 2013, p. 3934-3943.

Research output: Contribution to journalArticle

Harvard

Pernemalm, M, De Petris, L, Branca, RM, Forshed, J, Kanter, L, Soria, J-C, Girard, P, Validire, P, Pawitan, Y, van den Oord, J, Lazar, V, Påhlman, S, Lewensohn, R & Lehtio, J 2013, 'Quantitative Proteomics Profiling of Primary Lung Adenocarcinoma Tumors Reveals Functional Perturbations in Tumor Metabolism', Journal of Proteome Research, vol. 12, no. 9, pp. 3934-3943. https://doi.org/10.1021/pr4002096

APA

Pernemalm, M., De Petris, L., Branca, R. M., Forshed, J., Kanter, L., Soria, J-C., ... Lehtio, J. (2013). Quantitative Proteomics Profiling of Primary Lung Adenocarcinoma Tumors Reveals Functional Perturbations in Tumor Metabolism. Journal of Proteome Research, 12(9), 3934-3943. https://doi.org/10.1021/pr4002096

CBE

Pernemalm M, De Petris L, Branca RM, Forshed J, Kanter L, Soria J-C, Girard P, Validire P, Pawitan Y, van den Oord J, Lazar V, Påhlman S, Lewensohn R, Lehtio J. 2013. Quantitative Proteomics Profiling of Primary Lung Adenocarcinoma Tumors Reveals Functional Perturbations in Tumor Metabolism. Journal of Proteome Research. 12(9):3934-3943. https://doi.org/10.1021/pr4002096

MLA

Vancouver

Author

Pernemalm, Maria ; De Petris, Luigi ; Branca, Rui M. ; Forshed, Jenny ; Kanter, Lena ; Soria, Jean-Charles ; Girard, Philippe ; Validire, Pierre ; Pawitan, Yudi ; van den Oord, Joost ; Lazar, Vladimir ; Påhlman, Sven ; Lewensohn, Rolf ; Lehtio, Janne. / Quantitative Proteomics Profiling of Primary Lung Adenocarcinoma Tumors Reveals Functional Perturbations in Tumor Metabolism. In: Journal of Proteome Research. 2013 ; Vol. 12, No. 9. pp. 3934-3943.

RIS

TY - JOUR

T1 - Quantitative Proteomics Profiling of Primary Lung Adenocarcinoma Tumors Reveals Functional Perturbations in Tumor Metabolism

AU - Pernemalm, Maria

AU - De Petris, Luigi

AU - Branca, Rui M.

AU - Forshed, Jenny

AU - Kanter, Lena

AU - Soria, Jean-Charles

AU - Girard, Philippe

AU - Validire, Pierre

AU - Pawitan, Yudi

AU - van den Oord, Joost

AU - Lazar, Vladimir

AU - Påhlman, Sven

AU - Lewensohn, Rolf

AU - Lehtio, Janne

PY - 2013

Y1 - 2013

N2 - In this study, we have analyzed human primary lung adenocarcinoma tumors using global mass spectrometry to elucidate the biological mechanisms behind relapse post surgery. In total, we identified over 3000 proteins with high confidence. Supervised multivariate analysis was used to select 132 proteins separating the prognostic groups. Based on in-depth bioinformatics analysis, we hypothesized that the tumors with poor prognosis had a higher glycolytic activity and HIF activation. By measuring the bioenergetic cellular index of the tumors, we could detect a higher dependency of glycolysis among the tumors with poor prognosis. Further, we could also detect an up-regulation of HIF1 alpha mRNA expression in tumors with early relapse. Finally, we selected three proteins that were upregulated in the poor prognosis group (cathepsin D, ENO1, and VDAC1) to confirm that the proteins indeed originated from the tumor and not from a stromal or inflammatory component. Overall, these findings show how in-depth analysis of clinical material can lead to an increased understanding of the molecular mechanisms behind tumor progression.

AB - In this study, we have analyzed human primary lung adenocarcinoma tumors using global mass spectrometry to elucidate the biological mechanisms behind relapse post surgery. In total, we identified over 3000 proteins with high confidence. Supervised multivariate analysis was used to select 132 proteins separating the prognostic groups. Based on in-depth bioinformatics analysis, we hypothesized that the tumors with poor prognosis had a higher glycolytic activity and HIF activation. By measuring the bioenergetic cellular index of the tumors, we could detect a higher dependency of glycolysis among the tumors with poor prognosis. Further, we could also detect an up-regulation of HIF1 alpha mRNA expression in tumors with early relapse. Finally, we selected three proteins that were upregulated in the poor prognosis group (cathepsin D, ENO1, and VDAC1) to confirm that the proteins indeed originated from the tumor and not from a stromal or inflammatory component. Overall, these findings show how in-depth analysis of clinical material can lead to an increased understanding of the molecular mechanisms behind tumor progression.

KW - NSCLC

KW - adenocarcinoma

KW - relapse

KW - glycolysis

KW - hypoxia

KW - HIF1

KW - ENO1

KW - VDAC1

KW - CTSD

KW - Warburg

KW - prognosis

KW - peptide isoelectric focusing

U2 - 10.1021/pr4002096

DO - 10.1021/pr4002096

M3 - Article

VL - 12

SP - 3934

EP - 3943

JO - Journal of Proteome Research

T2 - Journal of Proteome Research

JF - Journal of Proteome Research

SN - 1535-3893

IS - 9

ER -