Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer

Research output: Contribution to journalReviewpeer-review

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Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer. / Flores-Morales, Amilcar; Iglesias-Gato, Diego.

In: Frontiers in Oncology, Vol. 7, 00267, 2017, p. 1-8.

Research output: Contribution to journalReviewpeer-review

Harvard

Flores-Morales, A & Iglesias-Gato, D 2017, 'Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer', Frontiers in Oncology, vol. 7, 00267, pp. 1-8. https://doi.org/10.3389/fonc.2017.00267

APA

Flores-Morales, A., & Iglesias-Gato, D. (2017). Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer. Frontiers in Oncology, 7, 1-8. [00267]. https://doi.org/10.3389/fonc.2017.00267

Vancouver

Flores-Morales A, Iglesias-Gato D. Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer. Frontiers in Oncology. 2017;7:1-8. 00267. https://doi.org/10.3389/fonc.2017.00267

Author

Flores-Morales, Amilcar ; Iglesias-Gato, Diego. / Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer. In: Frontiers in Oncology. 2017 ; Vol. 7. pp. 1-8.

Bibtex

@article{f000b085544d455e8f099f0e534f89b5,
title = "Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer",
abstract = "Prostate cancer (PCa) is one of the most frequently diagnosed cancer among men in the western societies. Many PCa patients bear tumors that will not threat their lives if left untreated or if treatment is delayed. Our inability for early identification of these patients has resulted in massive overtreatment. Therefore, there is a great need of finding biomarkers for patient stratification according to prognostic risk; as well as there is a need for novel targets that can allow the development of effective treatments for patients that progress to castration-resistant PCa. Most biomarkers in cancer are proteins, including the widely-used prostate-specific antigen (PSA). Recent developments in mass spectrometry allow the identification and quantification of thousands of proteins and posttranslational modifications from small amounts of biological material, including formalin-fixed paraffin-embedded tissues, and biological fluids. Novel diagnostic and prognostic biomarkers have been identified in tissue, blood, urine, and seminal plasma of PCa patients, and new insights in the ethology and progression of this disease have been achieved using this technology. In this review, we summarize these findings and discuss the potential of this technology to pave the way toward the clinical implementation of precision medicine in PCa.",
keywords = "Journal Article, Review",
author = "Amilcar Flores-Morales and Diego Iglesias-Gato",
year = "2017",
doi = "10.3389/fonc.2017.00267",
language = "English",
volume = "7",
pages = "1--8",
journal = "Frontiers in Oncology",
issn = "2234-943X",
publisher = "Frontiers Media S.A.",

}

RIS

TY - JOUR

T1 - Quantitative Mass Spectrometry-Based Proteomic Profiling for Precision Medicine in Prostate Cancer

AU - Flores-Morales, Amilcar

AU - Iglesias-Gato, Diego

PY - 2017

Y1 - 2017

N2 - Prostate cancer (PCa) is one of the most frequently diagnosed cancer among men in the western societies. Many PCa patients bear tumors that will not threat their lives if left untreated or if treatment is delayed. Our inability for early identification of these patients has resulted in massive overtreatment. Therefore, there is a great need of finding biomarkers for patient stratification according to prognostic risk; as well as there is a need for novel targets that can allow the development of effective treatments for patients that progress to castration-resistant PCa. Most biomarkers in cancer are proteins, including the widely-used prostate-specific antigen (PSA). Recent developments in mass spectrometry allow the identification and quantification of thousands of proteins and posttranslational modifications from small amounts of biological material, including formalin-fixed paraffin-embedded tissues, and biological fluids. Novel diagnostic and prognostic biomarkers have been identified in tissue, blood, urine, and seminal plasma of PCa patients, and new insights in the ethology and progression of this disease have been achieved using this technology. In this review, we summarize these findings and discuss the potential of this technology to pave the way toward the clinical implementation of precision medicine in PCa.

AB - Prostate cancer (PCa) is one of the most frequently diagnosed cancer among men in the western societies. Many PCa patients bear tumors that will not threat their lives if left untreated or if treatment is delayed. Our inability for early identification of these patients has resulted in massive overtreatment. Therefore, there is a great need of finding biomarkers for patient stratification according to prognostic risk; as well as there is a need for novel targets that can allow the development of effective treatments for patients that progress to castration-resistant PCa. Most biomarkers in cancer are proteins, including the widely-used prostate-specific antigen (PSA). Recent developments in mass spectrometry allow the identification and quantification of thousands of proteins and posttranslational modifications from small amounts of biological material, including formalin-fixed paraffin-embedded tissues, and biological fluids. Novel diagnostic and prognostic biomarkers have been identified in tissue, blood, urine, and seminal plasma of PCa patients, and new insights in the ethology and progression of this disease have been achieved using this technology. In this review, we summarize these findings and discuss the potential of this technology to pave the way toward the clinical implementation of precision medicine in PCa.

KW - Journal Article

KW - Review

U2 - 10.3389/fonc.2017.00267

DO - 10.3389/fonc.2017.00267

M3 - Review

C2 - 29164064

VL - 7

SP - 1

EP - 8

JO - Frontiers in Oncology

JF - Frontiers in Oncology

SN - 2234-943X

M1 - 00267

ER -

ID: 186871762