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Tumor Immunotherapy

Tumor Immunotherapy

Immunotherapy is a treatment that boosts or manipulates the immune system to fight diseases, including cancer. For instance, by stimulating an immune response through vaccinations against viruses that cause cancers, like hepatitis B virus and human papillomavirus, these diseases can be prevented. Nonetheless, some cancer cells can avoid the immune system due to their rapid mutation and division. The immune response to many cancers involves three phases: elimination, equilibrium, and escape.

Combination Therapies and Personalized Medicine

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...

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Rationalizing rules for immunotherapy combination trials: About time for precision immunotherapy.

Aakash Desai¹, Vivek Subbiah^2,3,4

¹Division of Medical Oncology, Mayo Clinic, Rochester, Minnesota, USA.

|October 30, 2022

Summary

Precision immunotherapy aims to improve cancer treatment by identifying the best combination therapies for individual patients. This approach seeks to overcome limitations where standard immunotherapy benefits only a subset of cancer patients.

Keywords:

biomarkers cancer therapy clinical trials combination therapy immunotherapy precision oncology

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Area of Science:

Oncology
Immunology
Precision Medicine

Background:

Immunotherapy has revolutionized cancer care, offering new hope for patients.
However, a significant number of patients do not respond to current immunotherapy regimens, experiencing disease progression.
Combination immunotherapy strategies are under investigation to enhance treatment efficacy.

Discussion:

The current challenge lies in predicting which patients will benefit from specific immunotherapy combinations.
A precision-driven patient selection strategy is proposed to address this gap.
Identifying optimal patient subgroups is crucial for successful combination immunotherapy.

Key Insights:

Most patients do not benefit from current immunotherapy treatments.
Combination immunotherapy is a promising avenue for improving patient outcomes.
Precision patient selection is key to unlocking the potential of combination immunotherapy.

Outlook:

Developing predictive models for patient response to combination immunotherapy.
Implementing precision medicine strategies for personalized cancer treatment.
Improving survival rates and treatment effectiveness for a broader range of cancer patients.