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Mutational dynamics of early and late relapsed childhood ALL: rapid clonal expansion and long-term dormancy.

ABSTRACT: Childhood acute lymphoblastic leukemia (cALL) is the most frequent pediatric cancer. Refractory/relapsed cALL presents a survival rate of ?45% and is still one of the leading causes of death by disease among children. Mechanisms, such as clonal competition and evolutionary adaptation, govern treatment resistance. However, the underlying clonal dynamics leading to multiple relapses and differentiating early (<36 months postdiagnosis) from late relapse events remain elusive. Here, we use an integrative genome-based analysis combined with serial sampling of relapsed tumors (from primary tumor to ?4 relapse events) from 19 pre-B-cell cALL patients (8 early and 11 late relapses) to assess the fitness of somatic mutations and infer their ancestral relationships. By quantifying both general clonal dynamics and newly acquired subclonal diversity, we show that 2 distinct evolutionary patterns govern early and late relapse: on one hand, a highly dynamic pattern, sustained by a putative defect of DNA repair processes, illustrating the quick emergence of fitter clones, and on the other hand, a quasi-inert evolution pattern, suggesting the escape from dormancy of leukemia stem cells likely spared from initial cytoreductive therapy. These results offer new insights into cALL relapse mechanisms and highlight the pressing need for adapted treatment strategies to circumvent resistance mechanisms.

SUBMITTER: Spinella JF

PROVIDER: S-EPMC5812325 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

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Mutational dynamics of early and late relapsed childhood ALL: rapid clonal expansion and long-term dormancy.

Spinella Jean-François JF Richer Chantal C Cassart Pauline P Ouimet Manon M Healy Jasmine J Sinnett Daniel D

Blood advances 20180201 3

Childhood acute lymphoblastic leukemia (cALL) is the most frequent pediatric cancer. Refractory/relapsed cALL presents a survival rate of ∼45% and is still one of the leading causes of death by disease among children. Mechanisms, such as clonal competition and evolutionary adaptation, govern treatment resistance. However, the underlying clonal dynamics leading to multiple relapses and differentiating early (<36 months postdiagnosis) from late relapse events remain elusive. Here, we use an integr ...[more]

PMID: 29365312

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Project description:The HIV latent reservoir exhibits slow decay on antiretroviral therapy (ART), impacted by homeostatic proliferation and activation. How these processes contribute to the total dynamic while also producing the observed profile of sampled latent clone sizes is unclear. An agent-based model was developed that tracks individual latent clones, incorporating homeostatic proliferation of cells and activation of clones. The model was calibrated to produce observed latent reservoir dynamics as well as observed clonal size profiles. Simulations were compared to previously published latent HIV integration data from 5 adults and 3 children. The model simulations reproduced reservoir dynamics as well as generating residual plasma viremia levels (pVL) consistent with observations on ART. Over 382 Latin Hypercube Sample simulations, the median latent reservoir grew by only 0.3 log10 over the 10 years prior to ART initiation, after which time it decreased with a half-life of 15 years, despite number of clones decreasing at a faster rate. Activation produced a maximum size of genetically intact clones of around one million cells. The individual simulation that best reproduced the sampled clone profile, produced a reservoir that decayed with a 13.9 year half-life and where pVL, produced mainly from proliferation, decayed with a half-life of 10.8 years. These slow decay rates were achieved with mean cell life-spans of only 14.2 months, due to expansion of the reservoir through proliferation and activation. Although the reservoir decayed on ART, a number of clones increased in size more than 4,000-fold. While small sampled clones may have expanded through proliferation, the large sizes exclusively arose from activation. Simulations where homeostatic proliferation contributed more to pVL than activation, produced pVL that was less variable over time and exhibited fewer viral blips. While homeostatic proliferation adds to the latent reservoir, activation can both add and remove latent cells. Latent activation can produce large clones, where these may have been seeded much earlier than when first sampled. Elimination of the reservoir is complicated by expanding clones whose dynamic differ considerably to that of the entire reservoir.

Project description:BackgroundSolid tumors residing in tissues and organs leave footprints in circulation through circulating tumor cells (CTCs) and circulating tumor DNAs (ctDNA). Characterization of the ctDNA portraits and comparison with tumor DNA mutational portraits may reveal clinically actionable information on solid tumors that is traditionally achieved through more invasive approaches.MethodsWe isolated ctDNAs from plasma of patients of 103 lung cancer and 74 other solid tumors of different tissue origins. Deep sequencing using the Guardant360 test was performed to identify mutations in 73 clinically actionable genes, and the results were associated with clinical characteristics of the patient. The mutation profiles of 37 lung cancer cases with paired ctDNA and tumor genomic DNA sequencing were used to evaluate clonal representation of tumor in circulation. Five lung cancer cases with longitudinal ctDNA sampling were monitored for cancer progression or response to treatments.ResultsMutations in TP53, EGFR, and KRAS genes are most prevalent in our cohort. Mutation rates of ctDNA are similar in early (I and II) and late stage (III and IV) cancers. Mutation in DNA repair genes BRCA1, BRCA2, and ATM are found in 18.1% (32/177) of cases. Patients with higher mutation rates had significantly higher mortality rates. Lung cancer of never smokers exhibited significantly higher ctDNA mutation rates as well as higher EGFR and ERBB2 mutations than ever smokers. Comparative analysis of ctDNA and tumor DNA mutation data from the same patients showed that key driver mutations could be detected in plasma even when they were present at a minor clonal population in the tumor. Mutations of key genes found in the tumor tissue could remain in circulation even after frontline radiotherapy and chemotherapy suggesting these mutations represented resistance mechanisms. Longitudinal sampling of five lung cancer cases showed distinct changes in ctDNA mutation portraits that are consistent with cancer progression or response to EGFR drug treatment.ConclusionsThis study demonstrates that ctDNA mutation rates in the key tumor-associated genes are clinical parameters relevant to smoking status and mortality. Mutations in ctDNA may serve as an early detection tool for cancer. This study quantitatively confirms the hypothesis that ctDNAs in circulation is the result of dissemination of aggressive tumor clones and survival of resistant clones. This study supports the use of ctDNA profiling as a less-invasive approach to monitor cancer progression and selection of appropriate drugs during cancer evolution.

Dataset Information

Mutational dynamics of early and late relapsed childhood ALL: rapid clonal expansion and long-term dormancy.

Publications

Mutational dynamics of early and late relapsed childhood ALL: rapid clonal expansion and long-term dormancy.

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