What question did this study set out to answer?

To determine the diagnostic potential of circulating tumor DNA (ctDNA) by modeling tumor evolution and shedding rates to predict the minimum detectable tumor size.

December 11, 2020Science AdvancesOpen Access

A mathematical model of ctDNA shedding predicts tumor detection size

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To determine the diagnostic potential of circulating tumor DNA (ctDNA) by modeling tumor evolution and shedding rates to predict the minimum detectable tumor size.
Developed a mathematical model of tumor evolution and ctDNA shedding parameterized using clinical data from N=176 patients with stage I to III lung cancer.
Simulated detection thresholds for both annual population screening and monthly informed relapse surveillance compared with standard imaging approaches.
Estimated that an average of 0.014% of a tumor cell's DNA enters the bloodstream upon cell death.
Predicted median detection sizes of 2.0 to 2.3 cm for annual screening, representing an approximate 40% reduction from the current median detection size of 3.5 cm.
Demonstrated that monthly relapse testing detects tumors at a median size of 0.83 cm, identifying treatment failure 140 days earlier than imaging-based approaches.

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Implication

Mathematical modeling study reveals ctDNA detection limits in lung cancer, highlighting substantial gains in earlier screening and relapse monitoring.

Cite This Study

Avanzini et al. (2020) studied this question.

synapsesocial.com/papers/69dedc7b210a0977fce95b05 https://doi.org/10.1126/sciadv.abc4308

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Implication

Mathematical modeling study reveals ctDNA detection limits in lung cancer, highlighting substantial gains in earlier screening and relapse monitoring.

A mathematical model of ctDNA shedding predicts tumor detection size

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Discussion

Implication

Cite This Study

A mathematical model of ctDNA shedding predicts tumor detection size

Key Points

Discussion

Implication

Cite This Study

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