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Advances and Technical Standards in Neurosurgery

Overview of attention for book
Attention for Chapter 4: Clinical Relevance of Prognostic and Predictive Molecular Markers in Gliomas.
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Chapter title
Clinical Relevance of Prognostic and Predictive Molecular Markers in Gliomas.
Chapter number 4
Book title
Advances and Technical Standards in Neurosurgery
Published in
Advances and technical standards in neurosurgery, January 2016
DOI 10.1007/978-3-319-21359-0_4
Pubmed ID
Book ISBNs
978-3-31-921358-3, 978-3-31-921359-0
Authors

Siegal, Tali, Tali Siegal

Abstract

Sorting and grading of glial tumors by the WHO classification provide clinicians with guidance as to the predicted course of the disease and choice of treatment. Nonetheless, histologically identical tumors may have very different outcome and response to treatment. Molecular markers that carry both diagnostic and prognostic information add useful tools to traditional classification by redefining tumor subtypes within each WHO category. Therefore, molecular markers have become an integral part of tumor assessment in modern neuro-oncology and biomarker status now guides clinical decisions in some subtypes of gliomas. The routine assessment of IDH status improves histological diagnostic accuracy by differentiating diffuse glioma from reactive gliosis. It carries a favorable prognostic implication for all glial tumors and it is predictive for chemotherapeutic response in anaplastic oligodendrogliomas with codeletion of 1p/19q chromosomes. Glial tumors that contain chromosomal codeletion of 1p/19q are defined as tumors of oligodendroglial lineage and have favorable prognosis. MGMT promoter methylation is a favorable prognostic marker in astrocytic high-grade gliomas and it is predictive for chemotherapeutic response in anaplastic gliomas with wild-type IDH1/2 and in glioblastoma of the elderly. The clinical implication of other molecular markers of gliomas like mutations of EGFR and ATRX genes and BRAF fusion or point mutation is highlighted. The potential of molecular biomarker-based classification to guide future therapeutic approach is discussed and accentuated.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 2%
Unknown 52 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Researcher 7 13%
Student > Bachelor 6 11%
Student > Postgraduate 4 8%
Professor 4 8%
Other 11 21%
Unknown 12 23%
Readers by discipline Count As %
Medicine and Dentistry 17 32%
Neuroscience 7 13%
Biochemistry, Genetics and Molecular Biology 6 11%
Agricultural and Biological Sciences 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 3 6%
Unknown 17 32%