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020 _a9789811618734
024 7 _a10.1007/978-981-16-1873-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aRC280.O8
_b2021 EB
245 0 0 _aOvarian Cancer Biomarkers :
_bMapping to Improve Outcomes
_cedited by Khalid El Bairi
250 _aFirst edition 2021
264 1 _aSingapore
_bSpringer International Publishing
_c2021
300 _a1 recurso en línea (XV, 229 páginas)
_b9 ilustraciones, 8 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _aArchivo de texto
_bPDF
490 0 _aBiomedical and Life Sciences (SpringerNature-11642)
490 0 _aBiomedical and Life Sciences (R0) (SpringerNature-43708)
505 0 _aChapter 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 3 _aThis 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.
988 _aSpringer_BiomedLife_2021
650 7 _2embne
_9225524
_aOvarios
_xCáncer
700 1 _aEl Bairi, Khalid
_eeditor literario
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9680906
776 0 8 _iPrinted edition:
_z9789811618727
776 0 8 _iPrinted edition:
_z9789811618741
776 0 8 _iPrinted edition:
_z9789811618758
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-16-1873-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
998 _b01/2022
_dz
_eb
_zSI