Healthy tissues are like healthy ecosystems: Both composed of diverse populations. But in tumors, a single, malignant cell type often dominates. A new computer model is helping researchers understand why, and it could pave the way to more effective cancer treatments.
Using mathematical algorithms, a team of researchers has developed a new, 3D simulation depicting how a tumor grows from a handful of rogue cell types (represented by different colors) into a malignant mass comprised of millions of cancerous mutants. The model, published this week in Nature, is reinforcing something that laboratory studies have also shown: Tiny movements of cells within a tumor can cause the mass to quickly expand, or allow it to rebound after chemotherapy.
A tumor is like an ecosystem whose natural balance has gone totally haywire, where cell types with an environmental advantage flourish uncontrollably. But when doctors blast tissue with radiation, or when they give a cancer patient drugs, they can’t usually kill all of the sick cells at once. Unfortunately, the small percentage that survive are often the most drug-resistant, and will quickly move to take over the tumor after treatment.
By shedding light on the complexity of cancer’s progression, the new model could eventually lead to treatments that target the most pernicious and mobile cancer cells. It also goes to show that even when we’re talking about the ugliest of diseases, science has a way of making the data beautiful.
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