Comprehensive Quantitative Analysis of Ovarian and Breast Cancer Tumor Peptidomes
Abstract
Aberrant degradation of proteins is associated with many pathological states, including cancers. Mass spectrometric analysis of tumor peptidomes, the intracellular and intercellular products of protein degradation, has the potential to provide biological insights on proteolytic processing in cancer. However, attempts to use the information on these smaller protein degradation products from tumors for biomarker discovery and cancer biology studies have been fairly limited to date, largely due to the lack of effective approaches for robust peptidomics identification and quantification, and the prevalence of confounding factors and biases associated with sample handling and processing. Herein, we have developed an effective and robust analytical platform for comprehensive analyses of tissue peptidomes, and which is suitable for high throughput quantitative studies. The reproducibility and coverage of the platform, as well as the suitability of clinical ovarian tumor and patient-derived breast tumor xenograft samples with post-excision delay of up to 60 min before freezing for peptidomics analysis, have been demonstrated. Additionally, our data also show that the peptidomics profiles can effectively separate breast cancer subtypes, reflecting tumor-associated protease activities. In conclusion, peptidomics complements results obtainable from conventional bottom-up proteomics, and provides insights not readily obtainable from such approaches.
- Authors:
-
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- Gynecology Service/Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, United States
- Department of Medicine, Washington University, St. Louis, Missouri 63130, United States
- Office of Cancer Clinical Proteomics Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892, United States
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Environmental Molecular Sciences Laboratory (EMSL)
- Sponsoring Org.:
- USDOE; US Dept. of Defense (DOD)
- OSTI Identifier:
- 1163621
- Alternate Identifier(s):
- OSTI ID: 1171275
- Report Number(s):
- PNNL-SA-103951
Journal ID: ISSN 1535-3893
- Grant/Contract Number:
- AC05-76RL01830; U24CA160019; P41GM103493; MIPR2DO89M2058
- Resource Type:
- Published Article
- Journal Name:
- Journal of Proteome Research
- Additional Journal Information:
- Journal Name: Journal of Proteome Research Journal Volume: 14 Journal Issue: 1; Journal ID: ISSN 1535-3893
- Publisher:
- American Chemical Society
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; 60 APPLIED LIFE SCIENCES; protein degradation; peptidomics; proteases; tumor; ovarian cancer; breast cancer; ischemia; Environmental Molecular Sciences Laboratory
Citation Formats
Xu, Zhe, Wu, Chaochao, Xie, Fang, Slysz, Gordon W., Tolic, Nikola, Monroe, Matthew E., Petyuk, Vladislav A., Payne, Samuel H., Fujimoto, Grant M., Moore, Ronald J., Fillmore, Thomas L., Schepmoes, Athena A., Levine, Douglas A., Townsend, R. Reid, Davies, Sherri R., Li, Shunqiang, Ellis, Matthew, Boja, Emily, Rivers, Robert, Rodriguez, Henry, Rodland, Karin D., Liu, Tao, and Smith, Richard D. Comprehensive Quantitative Analysis of Ovarian and Breast Cancer Tumor Peptidomes. United States: N. p., 2014.
Web. doi:10.1021/pr500840w.
Xu, Zhe, Wu, Chaochao, Xie, Fang, Slysz, Gordon W., Tolic, Nikola, Monroe, Matthew E., Petyuk, Vladislav A., Payne, Samuel H., Fujimoto, Grant M., Moore, Ronald J., Fillmore, Thomas L., Schepmoes, Athena A., Levine, Douglas A., Townsend, R. Reid, Davies, Sherri R., Li, Shunqiang, Ellis, Matthew, Boja, Emily, Rivers, Robert, Rodriguez, Henry, Rodland, Karin D., Liu, Tao, & Smith, Richard D. Comprehensive Quantitative Analysis of Ovarian and Breast Cancer Tumor Peptidomes. United States. https://doi.org/10.1021/pr500840w
Xu, Zhe, Wu, Chaochao, Xie, Fang, Slysz, Gordon W., Tolic, Nikola, Monroe, Matthew E., Petyuk, Vladislav A., Payne, Samuel H., Fujimoto, Grant M., Moore, Ronald J., Fillmore, Thomas L., Schepmoes, Athena A., Levine, Douglas A., Townsend, R. Reid, Davies, Sherri R., Li, Shunqiang, Ellis, Matthew, Boja, Emily, Rivers, Robert, Rodriguez, Henry, Rodland, Karin D., Liu, Tao, and Smith, Richard D. Mon .
"Comprehensive Quantitative Analysis of Ovarian and Breast Cancer Tumor Peptidomes". United States. https://doi.org/10.1021/pr500840w.
@article{osti_1163621,
title = {Comprehensive Quantitative Analysis of Ovarian and Breast Cancer Tumor Peptidomes},
author = {Xu, Zhe and Wu, Chaochao and Xie, Fang and Slysz, Gordon W. and Tolic, Nikola and Monroe, Matthew E. and Petyuk, Vladislav A. and Payne, Samuel H. and Fujimoto, Grant M. and Moore, Ronald J. and Fillmore, Thomas L. and Schepmoes, Athena A. and Levine, Douglas A. and Townsend, R. Reid and Davies, Sherri R. and Li, Shunqiang and Ellis, Matthew and Boja, Emily and Rivers, Robert and Rodriguez, Henry and Rodland, Karin D. and Liu, Tao and Smith, Richard D.},
abstractNote = {Aberrant degradation of proteins is associated with many pathological states, including cancers. Mass spectrometric analysis of tumor peptidomes, the intracellular and intercellular products of protein degradation, has the potential to provide biological insights on proteolytic processing in cancer. However, attempts to use the information on these smaller protein degradation products from tumors for biomarker discovery and cancer biology studies have been fairly limited to date, largely due to the lack of effective approaches for robust peptidomics identification and quantification, and the prevalence of confounding factors and biases associated with sample handling and processing. Herein, we have developed an effective and robust analytical platform for comprehensive analyses of tissue peptidomes, and which is suitable for high throughput quantitative studies. The reproducibility and coverage of the platform, as well as the suitability of clinical ovarian tumor and patient-derived breast tumor xenograft samples with post-excision delay of up to 60 min before freezing for peptidomics analysis, have been demonstrated. Additionally, our data also show that the peptidomics profiles can effectively separate breast cancer subtypes, reflecting tumor-associated protease activities. In conclusion, peptidomics complements results obtainable from conventional bottom-up proteomics, and provides insights not readily obtainable from such approaches.},
doi = {10.1021/pr500840w},
journal = {Journal of Proteome Research},
number = 1,
volume = 14,
place = {United States},
year = {Mon Nov 10 00:00:00 EST 2014},
month = {Mon Nov 10 00:00:00 EST 2014}
}
https://doi.org/10.1021/pr500840w
Web of Science
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