Myloid Neoplasm and Acute Leukemia: The Difficulty of Classification, Diagnosis and Treatment
Sood, Rishav
Sood, Rishav
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Abstract
Doctors have long classified blood cancers like leukemia based on what the cells look like under a microscope and how many abnormal cells are present, and recent advances in genetic testing have shown that changes in specific genes such as TP53, NPM1, FLT3, and RUNX1 all play a major role in how these diseases behave and respond to treatment. In many cases, these genetic differences give a clearer picture of the disease than appearance alone. But older classification systems relied mostly on what cells looked like, which meant that cancers with very different genetic causes were often grouped together. This made it harder for doctors to accurately predict outcomes or choose the most effective treatments. As scientists discovered more about cancer genetics, it became clear that the old system could not keep up with this new information. Therefore, experts developed a new system called the International Consensus Classification (ICC), which combines traditional methods with genetic data. This updated approach identifies cancers based on their underlying DNA changes, allowing doctors to diagnose diseases more precisely and better predict how they will progress. By matching patients with treatments tailored to their specific genetic profile, the ICC helps move medicine toward more personalized and effective care.
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Date
1/1/2026
Student Status
Sophomore (Graduating in 2028)
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Oral Presentation
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Molecular Genetics
College/School
College of Agriculture and Life Sciences
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Life Science