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Tumor evolution modeling in transformed and progressed follicular lymphoma patients.

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posted on 13.12.2016, 18:31 by Robert Kridel, Fong Chun Chan, Anja Mottok, Merrill Boyle, Pedro Farinha, King Tan, Barbara Meissner, Ali Bashashati, Andrew McPherson, Andrew Roth, Karey Shumansky, Damian Yap, Susana Ben-Neriah, Jamie Rosner, Maia A. Smith, Cydney Nielsen, Eva Giné, Adele Telenius, Daisuke Ennishi, Andrew Mungall, Richard Moore, Ryan D. Morin, Nathalie A. Johnson, Laurie H. Sehn, Thomas Tousseyn, Ahmet Dogan, Joseph M. Connors, David W. Scott, Christian Steidl, Marco A. Marra, Randy D. Gascoyne, Sohrab P. Shah

Genetic drift modeling in TFL (A) and PFL (B) patients with an initial variant allele frequency of 1% and 50%, respectively. The far left bar plot indicates the number of simulations that follow a specific genetic drift trajectory (shown on the right). PFL, progressed follicular lymphoma; TFL, transformed follicular lymphoma; VAF, variant allele frequency.

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