FELLOWSHIP IN ONCOPATHOLOGY
Explore the Fellowship in Oncopathology through our practical-focused Postgraduate Diploma program. Designed for medical professionals passionate about excelling in diagnostics, this course provides clinical training and expert mentorship to master the intricacies of oncopathological diagnosis and care.
Batch starts on
Jan to Dec/ May to June
Course Duration
12 Months
Multimodal Program
Hybrid Mode & Clinical Attachment
Flexible payment
financing options available
Sample Certificate For Course
FELLOWSHIP IN ONCOPATHOLOGY
Fellowship in Oncopathology is a special course provided by the Medical Global Academy (MGA) and is aimed at equipping the medical practitioners with the super-level skills in the diagnosis and treatment of cancer through the use of histopathological and molecular diagnostic procedures. This all-inclusive fellowship also focuses on an extensive knowledge of tumor biology, state-of-the-art diagnostic modalities and interpretation of complicated pathological results. The participants acquire practical experience with the help of intensive clinical training and research experience, and they are ready to work in multidisciplinary teams of cancer care. The program offers both modern and traditional diagnostic methods, and with this orientation, fellows are prepared to embrace the dynamic needs of oncopathology and help in improving patient outcomes within oncology care.
What you'll learn
Introduction to Oncopathology
Histopathological Techniques
Tumor Types and Their Pathological Features
Diagnostic Criteria and Reporting
Molecular Pathology and Genomics
Clinical Correlation and Multidisciplinary Approach
Key Features
- Attending /Non-Attending Classes
- Clinical Training in Nearest Hospital/Clinics.
- Free Study Material with recorded lectures
- Best Faculties (Super Specialists) of India
5. Library Access & Question & Answer Session
6. NAAC A+ University
7. 1 Year of Mentorship
8. Updated Curriculum
Course Curriculum
- Summary of Oncopathology: History, range and changing role in cancer diagnosis.
- Fundamentals of Cancer Biology: Cellular changes, genetic mutations and tumor microenvironment.
- Tumor Classification: Histological, molecular and genetic classification systems.
- Oncology Terminology: Major terms and names used in oncopathology.
- Tumor Grading and Staging principles: TNM system, prognostic indicators.
- Tumor Histopathology: Histological characteristics of typical malignancies ( lung, breast, gastrointestinal, hematologic).
- Cellular Patterns of Malignant Tumors: Cytological alterations in malignant cells, mitosis, necrosis and invasion.
- Special Staining Techniques: H&E, PAS, trichrome, and special stains that can be used to diagnose a specific type of cancer.
- Immunohistochemistry (IHC): Tumor diagnosis, interpretation of IHC markers of tissue of origin, and receptor status.
- Tumor Microenvironment: The importance of stroma, vasculature and immune cells to tumor progression.
- Genomic Alterations in Cancer: mutations, gene rearrangements, amplifications, deletions, and their diagnostic implications.
- Next-Generation sequencing (NGS): Principles, uses, and interpretation in cancer.
- Fluorescence In Situ Hybridization (FISH): Uses in the diagnosis of chromosomal abnormalities.
- Polymerase Chain Reaction (PCR): Applications in the identification of particular gene mutations and molecular markers.
- Liquid Biopsy: Circulating tumor DNA (ctDNA) and its use in cancer monitoring.
- Breast Cancer Pathology: Histological subtypes, molecular classification, hormone receptors, HER2/neu, and prognostic markers.
- Gastrointestinal Malignancies: Colorectal cancer, gastric, pancreatic and liver cancers – pathology, molecular markers and staging.
- Lung Cancer: NSCLC histopathology, small cell lung cancer, and molecular profiling.
- Hematologic Malignancies Leukemias, lymphoma, and myeloma; histopathology, cytogenetics, and molecular aspects.
- Gynecologic Tumors: Endometrial, ovarian, and cervical cancer; pathology and molecular markers.
- Oncopathology Artificial Intelligence: Image analysis, diagnostic performance, and automated interpretation.
- Digital Pathology: Virtual microscopy, telepathology, whole slide imaging.
- Molecular Imaging Techniques: PET scans, CT, MRI and their application in oncopathology diagnostics.
- Biomarkers in Cancer: Current and emerging biomarkers in diagnosis, prognosis, and treatment response.
- Artificial Intelligence and Deep Learning: Application in cancer diagnostics, images recognition, and predictive modeling.
- Cancer Genomics and Precision Oncology: Genetic and Genomic Profiling – Use in treatment decision-making, e.g. targeted therapies, immunotherapies.
- Predictive and Prognostic Biomarkers: Evaluation of biomarkers in treatment and clinical outcome.
- Immunohistochemistry and Molecular Subtyping: Tumor testing of HER2, EGFR, ALK, PD-L1, and other molecular markers to select treatment.
- Oncology Therapy and Resistance Mechanisms: The responses and resistance to therapy in tumors.
- Precision Oncopathology Case Studies: How to understand complex cases and use molecular discoveries to make clinical decisions.
- Practical Case Analysis: A wide range of exposure to cancer cases, including unusual and complicated tumors.
- Case-based Learning: Multidisciplinary teams, weekly tumor board conferences with pathologists, oncologists, and multidisciplinary teams.
- Autopsy and Postmortem Pathology: Oncopathology Role in postmortem diagnosis and cancer related death.
- Research and Diagnostic Innovations: Fellows will report on their own research in oncopathology.
- Interdisciplinary Tumor Board Involvement: Multidisciplinary tumor boards with oncologists, surgeons and radiologists.
- Research Design Oncopathology: The design, data collection, and ethical aspects of an oncological study.
- Statistics in Pathology: The use of statistics in analyzing oncological data.
- Dissertation and Research Paper: Fellows will prepare and carry out a research project on an issue of interest in oncopathology.
- Presentation and Defense: Making the research findings present before a committee of experts.
- Publication and Peer Review: Advice on how to submit research results to reputable medical journals.
- Multi-disciplinary Clinical Rounds: Fellows will attend daily/weekly Clinical Rounds with oncologists, surgeons, radiologists, and geneticists.
- Patient Interaction and Family Counseling: Understanding how to report complex oncological diagnoses to patients and their families.
- Ethics in Oncopathology: Finding your way through the ethical dilemmas of cancer diagnosis, genetic counseling and therapeutic interventions.
- Onward Professional Development: Participation in on-going education by taking seminars, webinars and international conference attendance on oncopathology.
- Molecular Diagnostics in Solid Tumors: PCR, NGS, and FISH to identify the most important genetic mutations, chromosomal abnormalities and driver mutations.
- Liquid Biopsy Technologies: ctDNA, miRNA and exosomes as diagnostic and prognostic in cancer management.
- Targeted Therapy and Companion Diagnostics: Discovering therapeutic targets like EGFR, ALK, BRAF and PD-L1 and matching them with molecular testing.
- Cancer Immunotherapy: Immune checkpoint inhibitors, CAR-T Therapies and immunotherapy response predictive biomarkers.
- Pharmacogenomics in Oncology: Oncology Pharmacogenomics Oncology Pharmacogenomics evaluates genetic predispositions to drug responses and resistance during oncology treatments.
- Tumor Clonal Evolution: How cancers evolve at both cellular and molecular scales and what is the contribution of genetic instability?
- Intratumoral Heterogeneity: Therapy resistance mechanisms and the role of clonal heterogeneity in tumor recurrence and metastasis.
- Pathophysiology of Metastasis: Metastasis mechanisms, such as EMT (epithelial-mesenchymal transition) and important genes.
- Tumor Microenvironment and Immune Escape: The part of the immune system in tumor progression and immune escape strategies adapted by cancer cells.
- Single-Cell Sequencing: Methods and uses of single-cell sequencing to investigate tumor heterogeneity and microenvironment.
- Epigenetics in Cancer Introduction: The role of DNA methylation, histone modification, and non-coding RNA in oncogenesis.
- RNA Modifications and Cancer: The RNA modifications (m6A, pseudouridine) are involved in cancer progression and resistance to therapy.
- Chromatin Remodeling in Cancer: Chromatin Dynamics and their role in cancer cell proliferation and metastasis.
- Cancer Stem Cells and Epigenetic Reprogramming: Epigenetic roles in cancer stem cell behavior, resistance to therapy, and relapse.
- Treatment of Epigenetic alterations Targeting Epigenetic Pathways: Therapeutic intervention of epigenetic alterations and its clinical use.
- Pathology Introduction AI and ML Introduction AI and ML The principles of artificial intelligence and machine learning, and their application to pathology.
- Deep Learning in Image Analysis: Image recognition, tumor detection, and grading in histopathology images.
- AI-Driven Diagnostics: AI tools in molecular diagnostics, genomic data interpretation, and workflow automation in pathology labs.
- Predictive Models of Cancer Prognosis: Machine learning algorithms predict patient outcomes using histopathological and molecular data.
- Ethical and Legal Aspects of AI in Oncopathology: How to deal with the ethical issues, data privacy, and legal regulations surrounding AI in cancer diagnostics.
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Program Highlights
Duration: 12 Months
Form: Online + Clinical Training (Hybrid Model)
Clinical Exposure: Diagnostics of cancer using histopathology and laboratory practice.
Mentorship: Senior oncopathologists and diagnostic specialists.
Accreditation: CPD UK Certified.
Learning Mode: Flexible to practice pathologists and clinicians.
Program Structure
Phase I: Theoretical & Academic Training (Online)
The phase aims at establishing a solid background in oncopathology and diagnostic oncology.
Curriculum Focus
Tumor pathology and cancer biology.
Malignancy histopathology.
Structured reporting and diagnostic criteria.
Principles and interpretation of immunohistochemistry (IHC).
Molecular diagnostics and biomarkers analysis.
Grading and staging of tumors.
Learning Components
Online interactive live classes with experienced faculty.
Taped talks to be accessed at any time.
Case-based discussions and reviews of virtual slides.
Introduction to reporting standards and workflows in diagnostics.
Academic and diagnostic guidance mentorship support over one year.
Phase II: Clinical Training
This stage focuses on practical diagnostic exposure and skill development in the laboratory.
Clinical Training Includes
Histopathology lab and diagnostic processes.
Under supervision: Slide examination and case interpretation.
Tumor board involvement.
Clinical, radiological and pathological correlation.
Core Diagnostic Exposure
Malignancies of the gastrointestinal, breast, lung, and hematologic systems.
Reporting of cytology and histopathology.
Immunohistochemistry panel and interpretation.
Molecular pathology techniques Introduction.
Multidisciplinary assessment of cancer cases.
Clinical Training & Laboratory Exposure
Training carried out in cooperation with oncology centers and pathology laboratories.
High-volume diagnostic case material.
Engagement into organized pathology processes and reporting protocols.
Concentrate on enhancing clinical correlation and diagnostic accuracy.
Assessment & Certification
End-of-program assessment
MCQ-based examination
CPD UK accredited fellowship certification.
Certified continuing medical education and oncology practice.
Eligibility Criteria
Pathologists
Applicants to MDP Pathology / DNB Pathology.
Laboratory medicine professionals
Medical specialists who have interest in cancer diagnostics.
Career Scope
Upon completion, participants can possibly:
Enhance diagnostic abilities in oncopathology.
Participate in multidisciplinary cancer care teams.
Lab work in pathology, cancer facilities and academic institutions.
Improve the accuracy of reporting and use new methods of diagnostics.
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