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An important research has come out that shows a ray of hope in the field of cancer treatment. This has paved the way for developing therapies based not just on the genes of the tumor, but on its entire structure. This study by Indian researcher Yajas Shah and his team in the US has the potential to change the way we understand cancer. Interestingly, they completed this research while working at Tempus AI. The research used the state-of-the-art technology of ‘spatial transcriptomics’ to create a detailed map of the arrangement, location and interrelationships of cells in a tumor. Hence, it is clear that the tumor is not homogeneous but divided into different ‘zones’. Each of these components has a direct impact on the growth of the cancer and the effectiveness of treatment.(Photo courtesy – istock)

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New technology makes personalized treatment possible

In India, many patients come for diagnosis at a late stage of cancer. As treatment becomes more complex and costly, new technologies can allow for personalized treatment and better use of resources, reducing the strain on the public health system. Although this research is still in its early stages, it has the potential to revolutionize cancer treatment. It is hoped that in the future, cancer diagnosis and treatment will be done more precisely by considering the entire structure of the tumor, rather than just based on genes. This discovery could indeed be a ‘game changer’ in the fight against cancer.

Why is tumor structure important?

Until now, the study of cancer was mainly based on genes. However, this research has shown that there are more cancer cells in some areas of the tumor. Although there are immune cells in some areas, they are inactive. In some areas there is a mixture of both. This is why treatment often does not work as expected. Understanding this ‘map’ of the tumor can make treatment more effective.

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Today, many cancer patients do not get the desired results from this one-size-fits-all approach. With new research, it will now be possible to determine a different and precise treatment for each patient.

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