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Biomarker Landscape in Cancer Research.
- Format:
- Book
- Author/Creator:
- Shegokar, Ranjita.
- Language:
- English
- Physical Description:
- 1 online resource (538 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Chantilly : Elsevier Science & Technology, 2025.
- Summary:
- Biomarker Landscape in Cancer Research examines the impact of early detection, predication of aggressiveness, and the determination of the best treatment for cancers.With a strong focus on the status, challenges, and prospects of biomarker measurements' tools and technology, the book also examines clinical translation-related knowledge and.
- Contents:
- Front Cover
- Biomarker Landscape in Cancer Research
- Copyright
- Contents
- Contributors
- About the editors
- Preface
- Drug Delivery Systems Landscape in Cancer Research (Vol. 1)
- Biomarker Landscape in Cancer Research (Vol. 2)
- Diagnostics Landscape in Cancer Research (Vol. 3)
- Preclinical Landscape in Cancer Research (Vol. 4)
- Clinical Landscape in Cancer Research (Vol. 5)
- 1 - Liver cancer: Biomarker landscape
- Introduction
- Etiologic factors
- Classification of liver cancer
- Hepatocellular carcinoma
- Intrahepatic cholangiocarcinoma
- Combined HCC-CCA
- Biomarkers
- Alpha-fetoprotein
- Isoforms of AFP
- Des-gamma-carboxy prothrombin
- Osteopontin
- Midkine
- Dickkopf protein-1
- Glypican-3
- Alpha-L-fucosidase
- Golgi protein-73
- Gamma-glutamyl transferase
- Tumor-specific growth factor
- Squamous cell carcinoma antigen
- Genomic markers
- Conclusion
- References
- 2 - Pancreatic cancer: Biomarker landscape
- Global statistics
- Biomarkers for PC
- Serological biomarkers of PC
- Glycolipids and proteins
- Carbohydrate antigen 19-9
- Carcinoembryonic antigen
- CA125
- CA242
- Serum noncoding RNAs
- Long noncoding RNAs
- Circulating miRNA
- Serum liquid biopsy approaches
- Exosomes
- Circulating tumor cells
- Tumor-educated platelets
- Urinary biomarkers
- Urine protein biomarkers
- Urine noncoding RNA
- Urine miRNA
- Salivary biomarkers
- Fecal biomarkers
- 3 - Heart cancer: Biomarker landscape
- Epidemiology
- Incidence ad prevalence
- Age and gender distribution
- Autopsy studies
- Geographic and environmental factors
- Risk factors
- Classification of cardiac tumors
- Primary tumor
- Benign PCTs
- Myxoma
- Fibroma
- Papillary fibroelastoma.
- Rhabdomyoma
- Lipoma
- Malignant PCT
- Sarcoma
- Angiosarcoma
- Leiomyosarcoma
- Rhabdomyosarcoma
- Undifferentiated pleomorphic sarcoma
- Primary cardiac lymphoma
- Secondary or metastatic cardiac tumors
- Hematogenous dissemination
- Lymphatic spread
- Transvenous extension
- Direct extension
- Cellular mechanism of cardiac cancer
- Genetic mutations
- Tumor suppressive genes
- Oncogenes
- Genetic syndromes
- Dysregulated cell signaling pathways
- Angiogenesis and tumor microenvironment
- Epigenetic alteration
- DNA methylation
- Histone modifications
- Noncoding RNA regulation
- Chromatin remodeling
- Factors affecting cardiac cancer
- Biomarkers for cardiac cancer
- Validated standard biomarkers for cardiac cancer
- Cardiomyocytes
- Release and significance
- Natriuretic peptides for cardiac cancer
- Detection and assessment of tumor-induced cardiotoxicity
- Circulating tumor markers
- Interleukin-6
- Calretinin
- Cancer antigen 125
- CD31
- BNH9
- Carboxypeptidase M
- Emerging biomarker for detection of cardiac cancer
- Myeloperoxidase
- Growth differentiation factor-15
- Soluble suppressor of tumorigenicity-2
- Placental growth factor
- Galectin-3
- Novel biomarkers
- miRNAs
- Proteomic and metabolomic biomarkers
- Biomarker analysis in cardiac cancer
- Detection methodology of cardiac cancer biomarkers
- In vitro detection methodology of cardiac cancer biomarkers
- Enzyme-linked immunosorbent assay
- Chemiluminescent immunoassay
- Advantages of CLIA for cardiac biomarker detection
- Fluorescence immunoassay
- Polymerase chain reaction
- Next-generation sequencing
- In vivo detection methodology of cardiac cancer biomarkers
- Imaging modalities
- Cardiac MRI
- Nuclear imaging techniques
- Imaging with CT
- PET scan.
- Biopsy and histopathological examination
- Transvenous biopsy
- Surgical biopsy
- Endocardial biopsy
- Surgical exploration
- Genetic and molecular testing
- Multimarker algorithms and machine learning
- Challenges and future directions
- Challenges faced in aspect for biomarker used in heart cancer
- Rarity of cardiac malignancies
- Heterogeneity of cardiac tumors
- Technical limitations
- Integration into clinical practice
- Interpreting complex data
- Future directions
- Large-scale collaborative studies
- Precision medicine approaches
- Advancements in detection technologies
- Artificial intelligence and machine learning
- Personalized monitoring and early detection
- Exploring new biomarker classes
- Regulatory and ethical considerations
- 4 - Bone cancer: Biomarker landscape
- Classification and types of bone cancer
- Etiology
- Bone cancer statistics
- Pathology
- Mechanisms of sarcoma development
- Applications of biomarkers
- Types of biomarkers
- Biomarker for bone tumors
- MicroRNAs
- Transforming growth factor-β
- Matrix metalloproteinases
- Protooncogene tyrosine-protein kinase (Src)
- Apurinic/apyrimidinic endonuclease 1
- Hypoxia-inducible factors
- Vascular endothelial growth factor-A
- SOX9
- Periostin
- B-cell lymphoma 2
- Future perspective
- 5 - Spleen cancer: Biomarkers landscape
- Understanding biomarkers
- Definition and role in oncology
- Diagnostic biomarker
- Prognostic biomarker
- Predictive biomarker
- Biomarker identification and validation
- Spleen cancer biomarkers
- Biomarkers for spleen cancer
- Prognostic biomarkers
- Predictive biomarkers for treatment response
- Emerging biomarkers and their potential
- Genetic markers.
- Clinical applications
- Biomarkers in spleen cancer diagnosis
- Role in treatment decision making
- Personalized medicine
- Targeted therapy
- Biomarkers in monitoring disease progression and treatment response
- Limitations of current biomarkers
- Sensitivity and specificity issues
- Accessibility and cost
- Advances in biomarker research
- Technologies in enhancing biomarker discovery
- Integrative approaches for biomarker identification
- The future of biomarker-based therapy in spleen cancer
- Assessing biomarkers: Testing and potential for diagnosis
- Validated biomarkers for spleen cancer
- Blood-based biomarkers
- Genetic biomarkers
- Biomarkers under development for spleen cancer
- Protein expression profiles
- Epigenetic markers
- Liquid biopsies
- Biomarkers in research and clinical applications
- Diagnosis and prognosis []
- Treatment response and monitoring []
- 6 - Brain-CNS cancer: Biomarker landscape
- Factors affecting the origination of brain or CNS cancer
- Pathophysiology of brain cancer
- Biomarkers in diagnosis and prognosis
- 1p/19q codeletion
- IDH-1 and 2
- PTEN deletion on chromosome 10
- TP53 mutation
- MGMT promoter methylation
- Ki-67 labeling index
- EGFR GF amplification/mutation
- Alpha thalassemia-mental retardation syndrome X-linked
- v-raf murine sarcoma viral oncogene homolog B1
- Diagnostic approach
- Biopsy test
- Liquid biopsy
- Cell-free DNA
- Circulating tumor DNA
- CSF biomarker
- Urine biomarker
- Fluorescent tumor markers
- Clinical trial on biomarker for brain-CNS cancer
- Case study 1
- Case study 2
- Case study 3
- Role of artificial intelligence and modern technology.
- Validation of biomarker performance
- Preclinical studies
- Clinical validation
- Analytical validation
- Clinical utility Assessment
- Statistical and computational validation
- Regulatory Approval
- Implementation in clinical practice
- Postmarket surveillance
- Brain cancer biomarkers under development phase
- Genomic biomarkers
- ATRX mutations
- H3K27M mutations
- BRAF V600E mutations
- Fibroblast growth factor receptor-transforming acidic coiled-coil fusions
- Proteomic biomarkers
- Tenascin-C
- Liquid biopsy biomarkers
- Circulating miRNAs
- Imaging biomarkers
- Hypoxia-induced genes
- Radiomics
- Epigenetic biomarkers
- DNA methylation patterns
- Histone modification profiles
- Metabolic biomarkers
- 2-Hydroxyglutarate
- Lactate and glutamate
- Validated biomarkers of brain cancer
- IDH1 and IDH2 mutations
- EGFR amplification and EGFRvIII mutation
- BRAF V600E mutation
- Challenges in validating brain cancer biomarkers
- Technical challenges
- Heterogeneity of BTs
- Sensitivity and specificity
- Standardization of assays
- Biological challenges
- Blood-brain barrier
- Dynamic nature of biomarkers
- Clinical challenges
- Limited patient populations
- Ethical considerations
- Regulatory environment
- Specific application
- 7 - Skin cancer: Biomarker landscape
- Skin cancer
- Melanoma
- Nonmelanocytic skin cancer
- Environmental risk factors
- Causes of skin cancer
- Prevention and prompt identification
- Molecular epidemiology
- Examples of biomarkers in skin cancer
- Exposure markers
- Erythema
- Number of UV-induced benign nevi in childhood.
- Marker of internal dose.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 0-443-33903-1
- OCLC:
- 1520884258
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