Diagnostic Landscape in Cancer Research
- 1st Edition - April 2, 2025
- Imprint: Academic Press
- Editors: Ranjita Shegokar, Yashwant Pathak
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 3 3 8 4 9 - 6
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 3 3 8 5 0 - 2
Diagnostic Landscape in Cancer Landscape examines the combined impact of prevention, diagnosis, and treatment of cancer. With a strong focus on the status, challenges, and prospe… Read more
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Request a sales quoteDiagnostic Landscape in Cancer Landscape examines the combined impact of prevention, diagnosis, and treatment of cancer. With a strong focus on the status, challenges, and prospects of diagnostic tools and technology, the book also examines the clinical translation-related knowledge and prognosis of different organ related cancers. In 22 chapters, the book describes current and new diagnostic tools in twenty different cancers and explores how innovations in the cancer diagnostic space could make cancer screening and early detection more straightforward.
This book is a timely and valuable resource for health professionals, scientists, researchers, health practitioners, students, and all those who wish to broaden their knowledge in the allied field.
This book is a timely and valuable resource for health professionals, scientists, researchers, health practitioners, students, and all those who wish to broaden their knowledge in the allied field.
- Provides essential information on the most recent developments in the diagnostic landscape of different cancer types
- Explains current technology and its applications in the diagnostic cancer research landscape
- Includes contributions from oncologists, biomedical engineers, pharmaceutical scientists, and manufacturers
Researchers working across the biosciences in fields of oncology
- Title of Book
- Cover image
- Title page
- Table of Contents
- Copyright
- 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: Advances in diagnostic research
- Introduction
- Classification of liver cancer
- Epidemiology
- Liver cancer etiology and risk factors
- Pathogenesis
- Signaling pathways of HCC development
- Current diagnostic methods for hepatic cancer
- Ultrasound
- Computed tomography
- Magnetic resonance imaging
- Angiography
- PET scan
- Liver biopsy
- Biomarkers
- Discovery and exploration stage (1847–1962)
- Types and role of biomarkers
- Biomarkers in monitoring and therapy of diseases
- Biomarkers for liver cancer detection, diagnosis, and prognosis
- Embryonic antigen
- Protein antigen
- Enzymes and isoenzymes
- Growth factors and their receptors
- Epigenetic biomarkers
- Challenges and future perspectives
- Conclusion
- 2. Pancreatic cancer: Advances in diagnostic research
- Introduction
- World statistics
- Cellular mechanisms of pancreatic cancer
- Diagnostic methods
- Imaging techniques
- Computed tomography (CT) scan
- Endoscopic ultrasound
- Magnetic Resonance Imaging (MRI)
- Tumor biomarkers
- Developing diagnostic methods
- Liquid biopsy
- Circulating tumor DNA (CtDNA)
- Circulating tumor cells (CTCs)
- Circulating miRNA
- Exosomes
- Artificial intelligence techniques and computer-aided diagnosis systems
- Volatile organic compounds (VOCs) analysis
- Nanomaterial-based diagnostics
- Confocal laser endomicroscopy
- Multi-modal diagnostic approaches
- Patented diagnostics
- Conclusion
- 3. Bone cancer: Advances in diagnostic research
- Introduction
- Bone anatomy and physiology
- Bone modeling and remodeling
- Bone cancers
- Osteosarcoma
- Chondrosarcoma
- Ewing's sarcoma
- Diagnostic features of bone cancer
- Histopathology diagnosis
- Magnetic resonance imaging (MRI)
- Positron emission tomography (PET)
- X-ray
- Computer tomography scan (CTscan)
- Nanoparticles as contrast agent
- Cancer and bone turnover markers
- Alkaline phosphatase (ALP)
- Lactate dehydrogenase (LDH)
- Future strategies and perspectives for cancer diagnostics agents
- Potential Inhibitors of transduction pathways
- Tyrosine kinase Inhibitors
- Conclusion
- 4. Spleen cancer: Advances in diagnostic research
- Introduction
- Factors affecting spleen cancer
- Genetic factors
- Immunosuppression
- Previous cancers
- Radiation exposure
- Autoimmune diseases
- Cellular mechanism
- Genetic mutations
- Oncogenes:
- Tumor suppressor genes:
- Cell cycle dysregulation
- Apoptosis resistance
- Angiogenesis
- Invasion and metastasis
- Tumor microenvironment
- Genomic instability
- Epigenetic alterations
- Diagnostic landscape of spleen cancer
- Physical examination
- Imaging studies
- Ultrasound
- CT (Computed Tomography) scan
- MRI (Magnetic Resonance Imaging)
- PET (Positron Emission Tomography) scan
- Angiography
- Radionuclide scans
- Biopsy
- Types of biopsies
- Laboratory tests
- Complete blood count
- Blood chemistry tests
- Lactate dehydrogenase (LDH) test
- Peripheral blood smear
- Tumor markers
- Flow cytometry
- Genetic and molecular testing
- Staging
- Stages of spleen cancer
- Multidisciplinary consultation
- Conclusion
- 5. ENT cancer: Advances in diagnostic research
- Introduction
- World statistics of ENT cancer
- Incidence and mortality rates
- Diagnostic landscape
- Cellular mechanism
- Diagnostic methods used
- Clinical examination
- Assessment of patient history
- Physical examination of the head and neck
- Endoscopy
- Flexible endoscopy
- Dynamic evaluation during speech and swallowing
- Rigid laryngoscopy
- Imaging modalities
- Imaging modalities
- Computed Tomography (CT) scan
- List of commonly used contrast agents for CT scans
- Iodine-based contrast agents
- Magnetic Resonance Imaging (MRI)
- Positron Emission Tomography-Computed Tomography (PET-CT)
- Biopsy procedures
- Common biopsy procedures (Table 5.2)
- Fine-needle aspiration (FNA)
- Core needle biopsy
- Molecular biomarkers
- Molecular biomarkers
- Genetic and molecular features
- Cancer signatures
- Types of molecular biomarkers
- Genetic mutations
- Gene expression profiles
- Protein markers
- MicroRNA signatures
- Role in cancer diagnosis
- Early detection
- Precision diagnosis
- Prognostic and predictive value
- Prognostic biomarkers
- Predictive biomarkers
- Therapeutic implications
- Liquid biopsy
- Noninvasive nature
- Dynamic monitoring of treatment response
- Artificial intelligence (AI)
- Conclusion
- 6. Brain/CNS cancer: Advances in diagnostic research
- Introduction
- Statistics
- Molecular profiles of brain tumors
- Diagnostic techniques of brain tumor
- Radiation-based diagnostic imaging techniques of brain tumor
- Magnetic resonance imaging (MRI)
- Functional MRI
- Magnetic resonance spectroscopy
- Perfusion imaging
- Diffusion weighted imaging
- Magnetic resonance angiography
- Susceptibility-weighted imaging
- Computed tomography
- Positron emission tomography (PET)
- Single-photon emission computed tomography (SPECT)
- Ultrasound
- Cerebrospinal fluid analysis
- Pathology-based diagnostics
- Nanotechnology-based diagnosis of brain tumor
- Blood-sample-based analysis
- Complete blood count
- Genetic and molecular markers
- Neurological diagnosis
- Advanced diagnostic tools in brain tumor research
- Emerging technologies (AI techniques)
- Conclusion
- 7. Skin cancer: Advances in diagnostic research
- Introduction
- Incidence trends worldwide for skin cancer
- Diagnostic methods
- Computer aided diagnosis
- Wood’s light examination
- Photography
- Biopsy techniques
- Histopathology and biological markers
- Tape stripping
- Radiation based diagnosis
- High frequency ultrasound (HFUS) and Doppler type sonography
- Thermography
- Optical and noninvasive diagnosis
- Electrochemical impedance spectroscopy based diagnosis
- Dermoscopy
- Optical coherence tomography (OCT)
- Confocal laser scanning microscopy
- Raman spectroscopy
- Fluorescent imaging/spectroscopy
- Terahertz imaging/spectroscopy
- Electrical impedance
- Diagnostic method patents
- Conclusion
- 8. Lung cancer: Advances in diagnostic research
- Introduction
- Epidemiology
- Cellular mechanism
- Diagnostic methods available
- Imaging techniques
- CT
- Magnetic resonance imaging (MRI)
- Positron emission tomography (PET)
- Confocal laser endomicroscopy
- Raman spectroscopy
- Bronchoscopic techniques
- Virtual bronchoscopic and electromagnetic navigation
- Cone-beam CT and bronchoscopy guided by augmented fluoroscopy
- Radial endobronchial ultrasound (r-EBUS)
- Robotic bronchoscopy
- Bronchoscopic transparenchymal approach
- Cytological techniques for lung cancer diagnosis
- Sputum cytology
- Pleural fluid cytology
- Biomarkers
- Epidermal growth factor receptor (EGFR)
- Tumor protein 53 GENE (TP53)
- Kristen rat sarcoma (KRAS)
- Nerve-specific enolase (NSE)
- Cytokeratin 19 fragment 21–1 (CYFRA 21–1)
- Carcinoembryonic antigen (CEA)
- Nanoparticles for lung cancer diagnosis
- Supermagnetic iron oxide hybrid nanoparticles (SPIONs)
- Magnetic silica nanoparticles
- Quantum dots (QDs)
- Exosomes
- Metal nanoparticles
- Nanoparticles based serum tumor marker detection
- Exhaled breath analysis
- Urine sample-based analysis
- Under development diagnostics
- Radiomics and radiogenomics
- Artificial intelligence
- Nanorobots
- Voice frequency
- Conclusion
- 9. Thyroid cancer: Advances in diagnostic research
- Introduction
- Risk factors
- Mechanism of thyroid cancer
- Diagnostic tools
- History and physical examination
- Blood test
- Thyroid function tests
- Calcitonin
- Fine needle aspirate
- Ultrasonography
- Positron emission tomography
- Molecular testing and future developments
- Micro-RNA profiling
- Conclusion
- 10. Breast cancer: Advances in diagnostic research
- Introduction
- Pathophysiology
- Diagnostic tools in breast cancer
- Breast examination
- Imaging tests
- Biopsy procedures
- Staging
- Molecular and genetic diagnostics [5,33–35]
- Biomarker testing
- Genetic testing
- Emerging technologies and innovations
- Artificial intelligence and machine learning
- Optical imaging techniques
- Molecular imaging
- Future directions in breast cancer diagnostics
- Personalized medicine
- Advances in screening programs
- Global impact and WHO response
- Conclusion
- 11. Colorectal cancer: Advances in diagnostic research
- Introduction
- World statistics and factor affecting colorectal cancer
- Mechanism of colorectal cancer
- Chromosomal instability
- Microsatellite instability
- CpG island methylator phenotype
- Diagnostic tests for colorectal cancer
- Stool-based test
- Guaiac-based fecal occult blood test
- Fecal immunochemical test
- Multitarget stool DNA tests
- Structural examination of colon and rectum
- Double-contrast barium enema
- Flexible sigmoidoscopy
- Colonoscopy
- Computed tomography colonography
- Colon capsule endoscopy
- Liquid biopsy
- Circulating tumor cells
- Circulating tumor DNA
- Circulating microRNAs
- Exosomes
- Under development diagnostic methods
- Nanoparticles based methods
- Artificial intelligence
- Conclusion
- 12. Blood cancer: Advances in diagnostic research
- Introduction
- World statistics
- Factors responsible
- Cellular mechanism
- Diagnosis
- Physical examination method
- Hematological screening method
- Bone marrow biopsy method
- Immunophenotyping method
- Interventional radiology methods
- Lymph node biopsy method
- Radiological methods
- CT scan
- Magnetic resonance imaging (MRI) scan
- PET scan
- Ultrasound scan
- Cytogenetic test method
- Laser-induced breakdown spectroscopy (LIBS)
- ML models
- Diagnoses using nanoparticles (NPs)
- Conclusion
- 13. Prostate cancer: Advances in diagnostic research
- Introduction
- World statistics
- Cellular mechanisms of prostate cancer
- Diagnosis of prostate cancer
- Digital rectal examination (DRE)
- Prostate-specific antigen (PSA) in blood
- Age-adjusted PSA
- PSA density
- Free PSA
- Prostate Health Index
- A 4Kscore
- Transrectal ultrasound
- Biopsy techniques
- Procedural analgesia
- Types of biopsy techniques
- Equipment for biopsies
- Biopsy approaches
- Computed tomography imaging
- Magnetic resonance imaging
- Other promising techniques
- Multiparametric magnetic resonance imaging (mpMRI)
- Positron emission tomography (PET)
- Urine biomarkers
- Artificial intelligence/machine learning
- Genomic profiling
- Conclusion
- 14. Stomach and intestinal cancer: Advances in diagnostic research
- Introduction
- World statistics
- Stomach cancer
- Intestinal cancer
- Cellular mechanism
- Stomach cancer
- Intestinal cancers
- Diagnostic methodologies
- Endoscopy
- Biopsy
- PET-CT Scan
- Biomarker testing
- CT Scan
- MRI or magnetic resonance imaging
- Laparoscopy
- Barium swallow or barium X-ray
- Upper endoscopy
- Capsule endoscopy
- Enteroscopy
- Endoscopic retrograde cholangiopancreatography
- Future diagnostic technologies
- Diagnostic technologies under development
- Diagnostic technologies under clinical trials
- Conclusion
- 15. Oral cancer: Advances in diagnostic research
- Introduction
- Current available techniques
- Physical examination
- Histopathological techniques
- Vital staining
- Biopsy
- Optical imaging
- Autofluorescence-based imaging
- Multispectral fluorescence-based imaging
- Chemiluminescence-based imaging
- Magnetic resonance imaging
- Computed tomography-scan
- Positron emission tomography-scan
- Circulating-tumor DNA (ctDNA) analysis
- Emerging future technologies for OSCC detection
- Artificial intelligence based system
- Lab-on-chip system
- Nanoparticle based diagnosis
- Conclusion
- 16. Ocular cancer: Advances in diagnostic research
- Introduction
- World statistics
- Cellular mechanism
- Diagnostic methods
- Imaging techniques
- Fluorescein angiography and fundus photography
- Ultrasonography
- Optical coherence tomography
- Nanoparticle based diagnosis
- Gold nanoparticles for imaging and detection
- Quantum dots for fluorescent imaging
- Magnetic resonance imaging (MRI)
- Radiation based diagnosis
- Computed tomography (CT)
- Magnetic resonance imaging (MRI)
- Positron emission tomography (PET)
- Pathological based diagnosis
- Histopathological examination
- Immunohistochemistry
- Molecular pathology
- Physiological fluid analysis
- Liquid biopsy for circulating tumor DNA
- Serum biomarker analysis
- Urine metabolomics
- Other diagnostic methods
- Photoacoustic imaging for uveal melanoma
- Optical coherence tomography (angiography)
- Liquid biopsy for retinoblastoma
- Confocal microscopy for conjunctival melanoma
- Artificial intelligence for ocular surface squamous neoplasia
- Conclusion
- 17. Kidney–adrenal cancer: Advances in diagnostic research
- Introduction
- World statistics and factors affecting
- Factors influencing kidney cancer incidence
- Adrenal gland involvement in kidney cancer
- Factors influencing adrenal tumor malignancy
- Global trends and projections
- Implications and future directions
- Cellular mechanisms of kidney–adrenal cancer
- Renal cell carcinoma (RCC) and adrenal metastasis
- Adrenocortical carcinoma and tumor extension
- Angiogenesis and the VEGF pathway
- Diagnostic method for kidney adrenal cancer
- Imaging techniques for kidney–adrenal cancer
- Cross-sectional imaging techniques
- Computed tomography (CT)
- Magnetic resonance imaging (MRI)
- Positron emission tomography (PET)
- Radiomics and machine learning
- Dual-energy computed tomography (DECT)
- Blood and urine tests for kidney–adrenal cancer
- Urine steroid profile tests for adrenocortical cancer
- Blood-based biomarkers for kidney cancer diagnosis and prognosis
- Urine steroid profile tests
- Biopsy techniques for kidney–adrenal cancer
- Genetic testing for kidney–adrenal cancer
- Biomarkers for kidney–adrenal cancer
- Next-generation sequencing (NGS) in kidney–adrenal cancer
- Artificial intelligence in kidney–adrenal cancer diagnosis and management
- Telemedicine and remote monitoring in kidney–adrenal cancer
- Surgical interventions for kidney adrenal cancer
- Minimally invasive surgery
- Ablation techniques
- Targeted therapy
- Tyrosine kinase inhibitors (TKIs)
- Immune checkpoint inhibitors
- Hormonal therapy
- Steroid replacement therapy
- Mineralocorticoid receptor antagonists
- Dialysis and renal replacement therapy
- Hemodialysis and peritoneal dialysis
- Peritoneal dialysis
- Kidney transplantation
- Gene therapy
- CRISPR-Cas9: Gene editing for kidney and adrenal diseases
- Other diagnostic method
- Conclusion
- 18. Ovarian cancer: Advances in diagnostic research
- Introduction
- Biosensors
- Optical biosensors
- Biosensors that use surface plasmon resonance
- SPR imaging
- Localized surface plasmon resonance
- Biosensors with evanescent wave fluorescence
- Bioluminescent optical fiber biosensors
- Electrochemical biosensors
- Nucleic acid-based biomarker
- Immunoassay based electrochemical sensor
- Nanofluidics nanobiosensors
- Magneto resistive biosensors
- Paper-based biosensors
- Nanocarriers in ovarian carcinoma treatment
- Nanoparticles
- Solid-lipid nanoparticles
- Dendrimers
- Nanomicelles
- Nanocapsules
- Early risk assessment and screening
- Present choices for screening
- CA125 and transvaginal ultrasound
- Protein diagnostics
- Asymptomatic women's protein screening and diagnostic assays
- Emerging protein diagnostics
- Imaging diagnostics
- MRI
- Hysteroscopy imaging
- Emerging imaging techniques
- Genetic diagnostics
- Epigenetic diagnostics
- Pan-cancer screening
- CT
- PET
- FDG PET/CT
- Future scope
- Conclusion
- Index
- Edition: 1
- Published: April 2, 2025
- Imprint: Academic Press
- No. of pages: 464
- Language: English
- Paperback ISBN: 9780443338496
- eBook ISBN: 9780443338502
RS
Ranjita Shegokar
Ranjita Shegokar holds a Ph.D. degree in Pharmaceutical Technology from the SNDT University, India, and has been a postdoctoral researcher in the Department of Pharmaceutics, Biopharmaceutics and NutriCosmetics at the Free University of Berlin, Germany. Currently, she serves as Chief Scientific Officer (CSO) at Capnopharm GmbH, Germany. She has authored several research articles, book chapters, and presented her research in many national/international conferences. She has filed multiple patent applications in the area of drug delivery and targeting. Besides that, she has edited many trending books in the area of pharmaceutical nanotechnology and drug delivery aspects. For her research, she has received many prestigious national and international awards among them include recently received prestigious German Innovation Award 2022. Her areas of interest include polymeric nanoparticles, nanocrystals, lipid nanoparticles (SLNs/NLCs), nanoemulsions, cancer drug targeting and the role of excipients in delivery systems. (www.ranjitas.com)
Affiliations and expertise
Postdoctoral Researcher, Department of Pharmaceutics, Biopharmaceutics and NutriCosmetics, Free University of Berlin, GermanyYP
Yashwant Pathak
Yashwant Pathak is a Professor and Associate Dean for faculty affairs at the Taneja College of Pharmacy at the University of South Florida, Tampa, USA. Prof. Pathak is also an Adjunct Professor at the Faculty of Pharmacy, Airlangga University, Surabaya, Indonesia. His area of research is in health care education, nanotechnology, drug delivery systems, and nutraceuticals.
Affiliations and expertise
Professor and Associate Dean, Faculty Affairs, College of Pharmacy, University of South Florida, Tampa, USA