1st Edition

Recent Advances in Cancer Diagnostics and Therapy
A Nanobased Approach

  • Available for pre-order. Item will ship after January 19, 2022
ISBN 9781032062174
January 19, 2022 Forthcoming by CRC Press
248 Pages 7 Color & 23 B/W Illustrations

USD $110.00

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Book Description

The book provides information about different types and stages of cancers and their subtypes with their respective molecular mechanisms, etiology, histopathology and cellular origins of cancer. The book also provides detailed information about cancer incidence, mortality, different type of technologies both bio and nano employed in cancer diagnosis and screening and their applications in cancer therapies. The book will serve the purpose to impart knowledge to its readers about molecular mechanisms of cancer, diagnosis and therapies along with different computational techniques used on a single platform.

The chapters include a broad and integrated perspective on cancer related topics. The book covers both conventional and emerging techniques employed in cancer screening and diagnosis including imaging, biomarker and electrochemical nanosensor based approaches with detailed information on sensor development. Similarly, the book also covers the mechanisms of different conventional and emerging herbal & nano therapies used in cancer treatment. The authors then discuss about applications of different computational and mathematical tools such as machine learning methods that can be employed in cancer diagnosis and therapy at the level of personalized medicine.

The target readers for the book include university students, course lectures, researchers and industrialists working in the fields of cancer biology, medicine, and pharmacology.


  • An integrated approach to provide information about all aspects of cancer biology, diagnosis and therapy.
  • Covers both conventional and emerging tools/ techniques applicable in cancer screening and diagnosis.
  • Covers the mechanisms of conventional and emerging anticancer drugs and therapies.
  • Provides insights about personalized medicine based approach in cancer diagnosis and therapy.

Table of Contents


Chapter 1: Introduction to cancer

  1. Introduction
  2. Features of cancer

    • Self-sufficient signals for growth
    • Insensitivity to antigrowth signals
    • Programmed cell death evasion
    • Unlimited replicative skills
    • Prolonged angiogenesis
    • Metastasis

  1. Classification and Types of Cancer
  2. Staging of Cancer

    • TNM staging
    • Stages of cancer

  1. Cancer from the molecular perspective
  2. Cancer etiology

    • Environment and Lifestyle
    • Age

  1. Cancer histopathology and identification

    • Diagnosis
    • Therapy
    • Cellular origin

  1. Cancer Epidemiology

Chapter 2: Cancer Incidence and mortality: In India and Worldwide

  1. Introduction
  2. Sources and methods of data
  3. Worldwide distribution of Cases and Deaths by Cancer Types
  4. Worldwide cancer patterns based on sex
  5. Cancer distribution in India
  6. Human development index and site-specific cancer
      1. Colorectal cancer
      2. Breast cancer
      3. Prostate cancer
      4. Cervical cancer
      5. Lung Cancer
      6. Ovarian Cancer

Chapter 3: Trends in cancer screening: Different diagnostic approaches

  1. Introduction
  2. Existing Diagnostic Techniques
  3. Markers based diagnosis of cancer

      1. Tumor markers currently in practice for cancer detection
      2. Molecular markers-based technologies-
        1. Nucleic-acid-based markers
        2. Protein markers-
        3. Robust circulating markers
            1. Enzymes and serum proteins
            2. Circulating nucleic acid markers

      1. Circulating DNA
      2. Circulating RNA

    • Types of circulating cell-free RNA: non-coding RNA
    • Circulating mirnas: Diagnostic and predictive markers for cancers
    • miRNA expression profiles in cancer tissues

  1. Integrative Techniques

    • Methods for detection of circulating miRNA

    1. Non-Sensor Techniques

    • Quantitaive PCR
    • Digital PCR
    • miRNA microarrays
    • Small RNA sequencing

    1. Biosensor-Based techniques

    • Electrochemical Biosensors
    • Nanopore Based Biosensors
    • Optical Biosensors

Chapter 4: Biosensor development: A way to achieve a milestone for cancer detection

    1. Introduction
    2. Synthesis of Nanoparticles

    • Bottom-up method
    • Top-down method

    1. Types of Nanoparticles
    2. Characterization of Nanoparticles
    3. Preparation of a sensor device

    • Bio-transducer Elements

      1. Electrochemical Sensors
      2. Optical Sensors
      3. Peizoelectric Sensors
      4. Calorimetric Sensors

New Generation Biosensors: Nanobiosensors

    1. Quantum dots
    2. Graphene Biosensors
    3. Carbon Nanotube
    4. Lab-on-a-chip

    • Construction of Biosensor Platforms

    • The Immobilization of Sensitive Elements onto biosensors film
    • Types of electrodes for biosensor fabrication
    • Strategy for improvement of Biosensors sensitivity

Chapter 5: Recent advances in diagnosis: Nano-based approach

    1. Introduction:
    2. Amperometric Biosensors
    3. Potentiometric Biosensors
    4. Impedimetric Biosensors
    5. Different types of electrochemical sensors

    1. Amperometry

    • Electrochemical Sensors for Cancer Biomarkers Detection based on amperometry

    1. Chronoamperometry:
    2. Potentiometry
    3. Chronopotentiometry
    4. Voltammetry
    5. Impedimetric sensing
    6. Conductometric sensing

Chapter 6: Mechanism of different anticancer drugs

    1. Introduction
    2. Cancer research and anticancer drugs history
    3. Targeting the growth of tumors

    1. Inhibition of cancer proliferation
    2. Targeting the suppressors responsible for tumor growth
    3. Inhibiting antiapoptotic behavior of Tumor
    4. Targeting ability of tumors to Divide Indefinitely by Extending Telomeres
    5. Targeting angiogenesis property of cancer cells
    6. Targeting inflammation-promoting Tumours

    1. Different classes of anticancer drugs

    • Chemical structure-based classification:
    • Classification Based on Mechanism of Action
    • Common Classification based on different groups

      1. Antimetabolites
      2. Alkylating agents
      3. Natural products
      4. Hormones

Chapter 7: In silico approach to cancer therapy

    1. Introduction
    2. Machine learning (ML) approaches in breast cancer prognosis prediction

    • Methodological outline for machine learning methods

    1. Enzyme-mediated cancer imaging and therapy (EMCIT) concept
    2. Tools and Databases for the study of cancer pathways

    • Tools and Databases for the study of cancer pathways
    • Databases involving Molecular Interaction
    • Annotation Tools
    • Modeling Tools
    • Computational Models for Processes associated with Cancer

    1. In-silico repurposing of cancer drugs

    • In-silico drug repurposing and personalized medicine in cancer
    • Computational tools for in silico drug repurposing related to cancer

    1. Target linked data modeling related to oncogenic pathways
    2. Technologies for cancer immunity investigation

    • Single-cell omics study of isolated cells
    • Computational tools for the prediction of neoantigens
    • Characterization of tumor-infiltrating immune cells
    • Recent tools and future trends


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Prof. Anjana Pandey has completed her M.Sc and PhD from Banaras Hindu University ,Varanasi, India. Presently she is working as professor in department of biotechnology, MNNIT Allahabad, Prayagraj, India. She has 70 publications in national and international journals and 18 book chapters. She has research interest in synthesis and application of nanoparticles and disease (microbial and genetic) identification, renewable energy production, biowaste to biofuel (biohydrogen, biodiesel etc.) generation and technology development, Genetically engineered microbes for enhancement of the yield of biofuel, Physiological and molecular changes of vigna mungo under abiotic and biotic stresses and identification of molecular markers for screening and generation of elite varieties.

Ms. Saumya Srivastava has completed her M.Sc from Banaras Hindu University (BHU), Varanasi, India. Presently. She is pursuing PhD in biotechnology from MNNIT Allahabad, Prayagraj, India. She has 08 publications in national and international journals and 05 book chapters. She has research interest in cancer research, nanotechnology, synthesis, and application of nanoparticles, nanomaterial characterization, biosensor development for disease diagnosis.