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Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts

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Genomics-Driven Immunotherapy: Advancing Cancer Treatment through Personalized Approaches.

Aditi A Kate¹, Sharav A Desai¹, Siddhi P Sapkal¹

¹Department of Pharmaceutical Biotechnology, Sanjivani College of Pharmaceutical Education & Research, Savitribai Phule Pune University, Kopargaon, Maharashtra, India.

Current Genomics

|May 21, 2026

Summary

Genomics accelerates cancer immunotherapy by identifying biomarkers like Tumor Mutational Burden (TMB) and Microsatellite Instability (MSI) for personalized treatments. Advanced technologies are crucial for overcoming challenges like tumor heterogeneity and resistance, paving the way for future therapies.

Keywords:

Tumor cancer immunotherapy genomic biomarkers genomics precision medicine tumor microenvironment

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Enrich and Expand Rare Antigen-specific T Cells with Magnetic Nanoparticles

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Published on: November 17, 2018

Area of Science:

Oncology
Immunology
Genomics

Background:

Cancer treatment faces challenges like drug resistance and non-specificity.
Immunotherapy offers a promising approach by utilizing the patient's immune system against cancer.
Personalized treatment strategies are essential due to variable patient responses to immunotherapy.

Purpose of the Study:

To review how genomics-driven approaches are advancing cancer immunotherapy.
To highlight the role of genomics in personalizing cancer immunotherapy.
To discuss challenges and future directions in genomic-based cancer treatment.

Main Methods:

Genomic profiling techniques, including Next-Generation Sequencing (NGS), are used to identify biomarkers.
Analysis of molecular biomarkers such as Tumor Mutational Burden (TMB) and Microsatellite Instability (MSI).
Investigation of the Tumor Microenvironment (TME) and its role in cancer progression and treatment.

Main Results:

Genomic profiling identifies biomarkers (TMB, MSI) that predict immunotherapy response.
Understanding the TME is crucial for cancer progression and treatment outcomes.
Genomics enables personalized immunotherapy strategies.

Conclusions:

Genomics is pivotal in personalizing cancer immunotherapy and improving treatment efficacy.
Innovative technologies like single-cell RNA sequencing, AI, machine learning, and liquid biopsies are needed to address challenges like tumor heterogeneity and resistance.
Future advancements include CRISPR gene editing, neoantigen vaccines, and combination therapies for transforming cancer treatment.