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Ovarian cancer biomarkersmapping to ...

El Bairi, Khalid.

Ovarian cancer biomarkersmapping to improve outcomes /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Ovarian cancer biomarkersedited by Khalid El Bairi.
Reminder of title:	mapping to improve outcomes /
other author:	El Bairi, Khalid.
Published:	Singapore :Springer Singapore :2021.
Description:	xv, 229 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	OvariesCancer
Online resource:	https://doi.org/10.1007/978-981-16-1873-4
ISBN:	9789811618734$q(electronic bk.)

Ovarian cancer biomarkersmapping to improve outcomes /
Ovarian cancer biomarkersmapping to improve outcomes /[electronic resource] :edited by Khalid El Bairi. - Singapore :Springer Singapore :2021. - xv, 229 p. :ill. (some col.), digital ;24 cm.

Chapter 1. General Overview of the Origins and Pathology of Ovarian Cancer -- Chapter 2_An Introduction to the Current Management of Ovarian Cancer in the Era of Precision Oncology -- Chapter 3_The Hallmarks of Ovarian Cancer: Actionable Genetics, Targetable Pathways and Predictive Biomarkers -- Chapter 4_Genetic Alterations in Ovarian Cancer as Prognostic and Predictive Biomarkers of Therapy Response and Surgical Outcomes -- Chapter 5_The Emergence of Circulating Tumor DNA in the Management of Ovarian Cancer -- Chapter 6_Proteomic Biomarkers for Early Detection and Patients' Stratification in Ovarian Cancer -- Chapter 7_Cutting-edge Technologies and Ovarian Cancer.

This book comprehensively summarizes the biology, etiology, and pathology of ovarian cancer and explores the role of deep molecular and cellular profiling in the advancement of precision medicine. The initial chapter discusses our current understanding of the origin, development, progression and tumorigenesis of ovarian cancer. In turn, the book highlights the development of resistance, disease occurrence, and poor prognosis that are the hallmarks of ovarian cancer. The book then reviews the role of deep molecular and cellular profiling to overcome challenges that are associated with the treatment of ovarian cancer. It explores the use of genome-wide association analysis to identify genetic variants for the evaluation of ovarian carcinoma risk and prognostic prediction. Lastly, it highlights various diagnostic and prognostic ovarian cancer biomarkers for the development of molecular-targeted therapy.

ISBN: 9789811618734$q(electronic bk.)

Standard No.: 10.1007/978-981-16-1873-4doiSubjects--Topical Terms:

908378
Ovaries
--Cancer

LC Class. No.: RC280.O8 / O83 2021

Dewey Class. No.: 616.99465

Ovarian cancer biomarkersmapping to improve outcomes /
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245 0 0 $a Ovarian cancer biomarkers $h [electronic resource] : $b mapping to improve outcomes / $c edited by Khalid El Bairi.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2021.
300 $a xv, 229 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Chapter 1. General Overview of the Origins and Pathology of Ovarian Cancer -- Chapter 2_An Introduction to the Current Management of Ovarian Cancer in the Era of Precision Oncology -- Chapter 3_The Hallmarks of Ovarian Cancer: Actionable Genetics, Targetable Pathways and Predictive Biomarkers -- Chapter 4_Genetic Alterations in Ovarian Cancer as Prognostic and Predictive Biomarkers of Therapy Response and Surgical Outcomes -- Chapter 5_The Emergence of Circulating Tumor DNA in the Management of Ovarian Cancer -- Chapter 6_Proteomic Biomarkers for Early Detection and Patients' Stratification in Ovarian Cancer -- Chapter 7_Cutting-edge Technologies and Ovarian Cancer.
520 $a This book comprehensively summarizes the biology, etiology, and pathology of ovarian cancer and explores the role of deep molecular and cellular profiling in the advancement of precision medicine. The initial chapter discusses our current understanding of the origin, development, progression and tumorigenesis of ovarian cancer. In turn, the book highlights the development of resistance, disease occurrence, and poor prognosis that are the hallmarks of ovarian cancer. The book then reviews the role of deep molecular and cellular profiling to overcome challenges that are associated with the treatment of ovarian cancer. It explores the use of genome-wide association analysis to identify genetic variants for the evaluation of ovarian carcinoma risk and prognostic prediction. Lastly, it highlights various diagnostic and prognostic ovarian cancer biomarkers for the development of molecular-targeted therapy.
650 0 $a Ovaries $x Cancer $x Etiology. $3 908378
650 0 $a Ovaries $x Cancer $x Genetic aspects. $3 908379
650 0 $a Biochemical markers. $3 195446
650 1 4 $a Cancer Research. $3 273660
650 2 4 $a Gene Expression. $3 220379
650 2 4 $a Molecular Medicine. $3 273932
700 1 $a El Bairi, Khalid. $3 877008
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856 4 0 $u https://doi.org/10.1007/978-981-16-1873-4
950 $a Biomedical and Life Sciences (SpringerNature-11642)