Attend the speech of "Dr. Pradeep Kumar Kar"

Biography:

Dr Pradeep Kumar Kar, has a vast experience in the field of oncology, molecular pathology digital pathology and related areas. He has worked for esteemed organisations like JIMPER, Kidwai Memorial Institute of Oncology, Fortis Cancer Institute and Farcast Biosciences. In his most recent role as a molecular pathologist at the Biocon Brystol Myers Sqibb Research and Development Center (BBRC), he has focused on Digital Pathology, and Various complex monoplex and Multiplex assay and algorithms development along with understanding the role of Tumor Microenvironment in IO (Immuno-Oncology) drug response and registance in various cancer types.

Dr Pradeep has completed MD in Pathology from VSS Medical college and Fellowship in Oncopathology at Kidwai Memorial Cancer Institute, Bangalore. He has published several research papers and also Taught pathology at JIMPER in pondicherry and Kidwai Memorial Cancer Institute.

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Integrating Pathology and Genomics as a New Modality to Understand Immunotherapy Response in Cancer

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Integrating pathology and genomics represents a promising approach to better understand and predict immunotherapy responses in cancer patients. This integration leverages the strengths of both disciplines to provide a comprehensive view of the tumor microenvironment, genetic alterations, and immune interactions. Here are key aspects and strategies for integrating pathology and genomics to enhance our understanding of immunotherapy responses:

Key Aspects

1. Tumor Microenvironment Analysis: Immunohistochemistry (IHC): Traditional pathology techniques, such as IHC, are used to assess the presence and distribution of immune cells (e.g., T cells, macrophages) within the tumor microenvironment. Spatial Transcriptomics: Combining IHC with spatial transcriptomics enables the mapping of gene expression profiles within specific regions of the tumor, revealing the spatial organization of immune cells and their interactions with tumor cells.
2. Genomic Profiling: Next-Generation Sequencing (NGS): Genomic profiling using NGS identifies mutations, copy number variations, and other genetic alterations that may influence immunotherapy responses. Tumor Mutational Burden (TMB): High TMB has been associated with better responses to immune checkpoint inhibitors, making it a crucial genomic marker for immunotherapy prediction.
3. Molecular Pathology: Gene Expression Signatures: Analysis of gene expression signatures can help identify tumors with specific immune-related characteristics, such as the presence of interferon-gamma signaling or the expression of immune checkpoint molecules (e.g., PD-L1, CTLA-4). Neoantigen Prediction: Sequencing data can be used to predict neoantigens—novel peptides presented by tumor cells that can be recognized by the immune system, potentially driving an anti-tumor response.
4. Single-Cell Analysis: Single-Cell RNA Sequencing (scRNA-seq): This technology allows for the characterization of individual cells within the tumor microenvironment, providing insights into the heterogeneity of immune cell populations and their functional states. Cytometry by Time of Flight (CyTOF): A single-cell analysis technique that combines flow cytometry and mass spectrometry to simultaneously measure multiple protein markers on individual cells, offering a detailed view of immune cell phenotypes.
5. Bioinformatics and Data Integration: Multi-Omics Integration: Combining data from genomics, transcriptomics, proteomics, and pathology to create a comprehensive profile of the tumor and its microenvironment. Machine Learning: Utilizing machine learning algorithms to analyze complex datasets and identify patterns or biomarkers predictive of immunotherapy response.

Strategies for Implementation

1. Collaborative Research: Foster collaborations between pathologists, genomic scientists, bioinformaticians, and oncologists to develop integrated approaches for studying immunotherapy responses. Establish multi-disciplinary research teams and consortia to share data and resources.
2. Clinical Trials: Incorporate integrated pathology and genomics analyses into clinical trials to prospectively evaluate their predictive value for immunotherapy outcomes. Use adaptive trial designs that allow for the incorporation of new biomarkers and technologies as they become available.
3. Standardization and Validation: Develop standardized protocols for tissue handling, processing, and analysis to ensure reproducibility and reliability of results. Validate predictive biomarkers and models in independent cohorts and clinical settings.
4. Translational Research: Focus on translating findings from integrated pathology and genomics research into clinical practice by developing companion diagnostics and personalized treatment strategies. Implement precision oncology approaches that tailor immunotherapy treatments based on the integrated profiles of individual patients' tumors.

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Conference Name: 14th Emirates Pathology, Digital Pathology & Cancer Conference?

Short Name: 14EPUCG2024?

Dates: December 17-19, 2024?

Venue: Holiday Inn Dubai, UAE & Online

Email: [email protected]

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