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Methods of Cancer Diagnosis, Therapy, and Prognosis

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Cover of 'Methods of Cancer Diagnosis, Therapy, and Prognosis'

Table of Contents

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    Book Overview
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    Chapter 1 Identification of Biomarkers for Clear Cell Ovarian Adenocarcinoma
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    Chapter 2 Ovarian Carcinoma: Diagnostic Immunohistochemistry of MUCIN4 (MUC4)
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    Chapter 3 Distinguishing Benign from Malignant Complex Adnexal Masses in Ovarian Cancer: Two-Dimensional Power-Doppler Imaging
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    Chapter 4 Subgroups of Ovarian Carinoma: Identification Using Differential Gene Expression
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    Chapter 5 Sertoliform Endometrioid Carcinoma of the Ovary: Diagnosis and Prognosis
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    Chapter 6 Role of MUC16 (CA125) in the Pathogenesis of Epithelial Ovarian Cancer
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    Chapter 7 Clear Cell Carcinoma of the Ovary: Prognosis Using Cytoreductive Surgery
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    Chapter 8 Advanced Ovarian Cancer: Prediction of Surgical Outcomes Using Computed Tomography
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    Chapter 9 Renal Cell Carcinoma: Follow-Up with Magnetic Resonance Imaging After Percutaneous Radiofrequency Ablation
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    Chapter 10 Metastatic Kidney Cancer: Treatment with Infusional Interleukin-2 Plus Famotidine
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    Chapter 11 Renal Cell Carcinoma: Preoperative Treatment with Cytokines Followed by Surgery
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    Chapter 12 Metastatic Renal Cell Carcinoma: Use of Bcl-2 and Fas to Predict Responses to Immunotherapy
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    Chapter 13 Wilms Tumor: Prognosis Using Microvessel Density
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    Chapter 14 Adenomatoid Tumor of the Adrenal Gland: Differential Diagnosis Using Immunohistochemistry
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    Chapter 15 Testicular Cancer: Post-Chemotherapy Retroperitoneal Lymph Node Dissection
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    Chapter 16 Survivors of Germ-Cell Testicular Cancer: Increased Risk of Second Primary Tumors
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    Chapter 17 Urothelial Bladder Cancer: Screening with Urine-Based Tumor Markers
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    Chapter 18 Detection of OCT-4 in Bladder Cancer: Role of Cancer Stem Cell
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    Chapter 19 Uterine Cervical Glandular Lesions: Differentiation Using Immunohistochemistry of Mucins
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    Chapter 20 Uterine Cervical Carcinoma: Preoperative Magnetic Resonance Imaging Staging
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    Chapter 21 Cancer Imaging and Intracavitary Brachytherapy for Cervical Cancer
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    Chapter 22 Cervical Cancer: Methods for Assessing the Quality of Life
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    Chapter 23 Cervical Cancer: Positron Emission Tomography and Positron Emission Tomography/Computed Tomography
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    Chapter 24 Endometrial Cancer: Indoleamine 2,3-Dioxygenase as a Prognostic Indicator
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    Chapter 25 Neurofibromatosis Type 1-Associated Malignant Melanoma: Molecular Evidence of Inactivation of the NF1 Gene
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    Chapter 26 Malignant Melanoma: Localisation and Characterization Using Fluorodeoxyglucose-Positron Emission Tomography/Computed Tomography
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    Chapter 27 Malignant Melanoma Versus Deep Penetrating Nevus: Diagnostic and Prognostic Immunohistochemistry of Dipeptidyl Peptidase IV (Methodology)
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    Chapter 28 Nonmelanoma Skin Cancer: Use of Epha1 Receptor as a Prognostic Marker
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    Chapter 29 Pretreated Chronic Lymphocytic Leukemia: Use of Alemtuzumab
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    Chapter 30 Immunotherapeutic Strategies, Radiotherapy, and Targeted Radionuclide Therapy Approaches for the Treatment of Multiple Myeloma
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    Chapter 31 Low Grade Fibromyxoid Sarcoma: Diagnosis by Detecting FUS-CREB3L2 Fusion Gene Using Reverse Transcription–Polymerase Chain Reaction
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    Chapter 32 Synovial Sarcoma: Role of TLE1 as a Diagnostic Immunohistochemical Marker
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    Chapter 33 The Immunohistochemistry of Kaposi’s Sarcoma
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    Chapter 34 Synovial Sarcoma: Role of Immunohistochemistry and Molecular Genetics in Diagnosis and Prognosis
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    Chapter 35 Sarcoma: Treatment with Ecteinascidin-743
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Title
Methods of Cancer Diagnosis, Therapy, and Prognosis
Published by
Springer Netherlands, March 2010
DOI 10.1007/978-90-481-2918-8
ISBNs
978-9-04-812917-1, 978-9-04-812918-8
Editors

Hayat, M. A.

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 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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