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Advances in Cancer Biomarkers

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Cover of 'Advances in Cancer Biomarkers'

Table of Contents

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    Book Overview
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    Chapter 1 Cancer Biomarkers: A Status Quo
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    Chapter 2 Cancer Biomarkers Discovery and Validation: State of the Art, Problems and Future Perspectives
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    Chapter 3 Use of Biomarkers in Screening for Cancer.
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    Chapter 4 The Role of Metabolomics in the Study of Cancer Biomarkers and in the Development of Diagnostic Tools
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    Chapter 5 The Role of Epigenomics in the Study of Cancer Biomarkers and in the Development of Diagnostic Tools.
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    Chapter 6 Efficient, Adaptive Clinical Validation of Predictive Biomarkers in Cancer Therapeutic Development
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    Chapter 7 Prostate Specific Antigen as a Tumor Marker in Prostate Cancer: Biochemical and Clinical Aspects
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    Chapter 8 The Actual Role of LDH as Tumor Marker, Biochemical and Clinical Aspects
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    Chapter 9 Neuron-Specific Enolase as a Biomarker: Biochemical and Clinical Aspects
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    Chapter 10 Components of the Plasminogen-Plasmin System as Biologic Markers for Cancer
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    Chapter 11 The Role of Human Chorionic Gonadotropin as Tumor Marker: Biochemical and Clinical Aspects.
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    Chapter 12 Advances in Cancer Biomarkers
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    Chapter 13 Mucins and Cytokeratins as Serum Tumor Markers in Breast Cancer
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    Chapter 14 The Role of CA 125 as Tumor Marker: Biochemical and Clinical Aspects
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    Chapter 15 CA 19-9: Biochemical and Clinical Aspects.
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    Chapter 16 Non Coding RNA Molecules as Potential Biomarkers in Breast Cancer
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    Chapter 17 Urinary Prostate Cancer Antigen 3 as a Tumour Marker: Biochemical and Clinical Aspects
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    Chapter 18 Biomarker in Cisplatin-Based Chemotherapy for Urinary Bladder Cancer
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    Chapter 19 A Critical Approach to Clinical Biochemistry of Chromogranin A.
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    Chapter 20 The Actual Role of Receptors as Cancer Markers, Biochemical and Clinical Aspects: Receptors in Breast Cancer
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    Chapter 21 The Role of CTCs as Tumor Biomarkers
Attention for Chapter 17: Urinary Prostate Cancer Antigen 3 as a Tumour Marker: Biochemical and Clinical Aspects
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Chapter title
Urinary Prostate Cancer Antigen 3 as a Tumour Marker: Biochemical and Clinical Aspects
Chapter number 17
Book title
Advances in Cancer Biomarkers
Published in
Advances in experimental medicine and biology, January 2015
DOI 10.1007/978-94-017-7215-0_17
Pubmed ID
Book ISBNs
978-9-40-177214-3, 978-9-40-177215-0
Authors

Marianne Schmid, Jens Hansen, Felix K.-H. Chun

Abstract

Due to low specificity of Prostate-Specific Antigen (PSA) we face a certain risk of overdiagnosis and overtreatment of Prostate Cancer (PCa). The benefits and harms of PSA-screening are controversially discussed. To overcome this weakness of PSA novel PCa biomarkers and detection tools are required.The urine-based biomarker Prostate Cancer Antigen 3 (PCA3) has been shown to be highly PCa-specific. Application of PCA3 was tested in the diagnostic setting and staging. Several studies pointed out the additional value of PCA3 for further stratification of men selected for biopsy (BX) based on an elevated PSA and/or an abnormal digital rectal examination (DRE). Its combined use with established clinical risk factors for positive prostate BX, particularly within nomograms or risk calculators, may represent a valid and helpful aid for clinicians in patient counselling and BX indication confirmation.When it comes to prediction of favourable or unfavourable histopathological features, respectively, such as tumour volume or PCa significance, PCA3's value remains controversial. Based on relatively small patient numbers, PCA3 has been identified to independently predict small-volume and insignificant PCa. However, in other studies PCA3 was not associated with advanced disease and its ability of predicting PCa aggressiveness in men undergoing radical prostatectomy is limited.PCA3's value may be best given for BX outcome prediction. Finally, the implementation of the PCA3 promoter in developing new highly PCa-specific gene therapies represents a promising perspective in the near future.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 42 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Bachelor 7 17%
Student > Ph. D. Student 5 12%
Student > Doctoral Student 4 10%
Researcher 4 10%
Other 6 14%
Unknown 9 21%
Readers by discipline Count As %
Medicine and Dentistry 19 45%
Agricultural and Biological Sciences 3 7%
Immunology and Microbiology 3 7%
Biochemistry, Genetics and Molecular Biology 2 5%
Computer Science 1 2%
Other 3 7%
Unknown 11 26%