MétaCan
Menu
← Back to cohort
Record W2503681422 · doi:10.1182/blood.v122.21.740.740

Familial AML With Germline CEBPA Mutations: Extended Clinical Outcomes and Analysis Of Secondary Mutations Using Whole Exome Sequencing

2013· article· en· W2503681422 on OpenAlexaff
Kiran Tawana, Aline Renneville, Jun Wang, Panayiotis Georgiades, Xavier Thomas, Valérie Mialou, Aleksander Savic, Frederik W. van Delft, Jennifer Treleaven, Sameena Iqbal, Norio Asou, Naokuni Uike, Konstanze Döhner, Lars Bullinger, Matthias Stelljes, Csaba Bödör, James D. Cavenagh, Doris Steinemann, Tim Ripperger, Brigitte Schlegelberger, Peter Vandenberghe, Anne Uyttebroeck, Josep Nomdedéu, Henrik Hjorth‐Hansen, Rosemary E. Gale, Cynthia L. Toze, Michael J. Barnett, Marianna Zombori, Krisztián Kállay, Jiří Pavlů, Pim Mutsaers, Fred H. Menko, Angela Thomas, Christine L. Wright, Jessica Okosun, Chey Loveday, Pierre Fenaux, Hamish S. Scott, Claude Preudhomme, Claude Chelala, Alison Male, Carolyn Owen, Matthew Smith, Jude Fitzgibbon

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsFoothills Medical CentreVancouver General HospitalUniversity of British Columbia
Fundersnot available
KeywordsCEBPAMedicineOncologyMutationHematopoietic stem cell transplantationInternal medicineExome sequencingGermline mutationPenetranceTransplantationGeneticsBiologyPhenotypeGene

Abstract

fetched live from OpenAlex

Abstract Background Germline mutations in the N-terminal of CCAAT/enhancer binding protein α (CEBPA) are a feature of autosomal dominant AML. Despite the strong penetrance of these mutations, the age of disease onset varies considerably and is usually precipitated by acquiring a C-terminal mutation. Although biallelic CEBPA-mutations in sporadic AML are associated with favorable clinical outcomes, little is known about long-term survival or the secondary molecular events linked with familial cases. Aims We sought to establish the long term clinical outcomes in familial CEBPA-mutated AML and to examine the patterns of secondary mutations associated with leukemic transformation. Methods and Results Disease specific and follow up information was collected in 16 affected patients, from 7 pedigrees, published between 2004 and 2011. In 94% of patients (n=15), at least 3 years follow up was achieved. All pedigrees had a germline N-terminal CEBPA mutation and 17 of 18 documented disease episodes had an acquired C-terminal mutation. The age at AML diagnosis varied from 2-39 years (median 24.5 yrs) with a single asymptomatic carrier detected (now 23 yrs). With the exception of 1 patient diagnosed in 1963, all cases received combination chemotherapy at diagnosis. Additional consolidation comprised autologous stem cell transplantation (SCT, n=3) and allogeneic SCT in 1 patient failing to achieve CR post induction therapy. Ten patients had at least 1 further disease episode, the first recurrence presenting after a median of 2.1 years (range 0.5-14 yrs), 5 continued in CR and 1 patient was lost to follow up. In 3 out of 4 patients, where CEBPA was screened at recurrence, the acquired C-terminal mutations differed from diagnosis, signifying new episodes of AML. The median overall survival (OS) for the entire cohort was 20 years (1.1-46 yrs, n=16) and 17.3 years for patients with multiple disease episodes, reflecting durable responses to second line therapies. To identify potential co-operating mutations in CEBPA pedigrees, whole exome sequencing (WES) was performed in 7 tumor samples from 5 patients across 3 pedigrees, all with the germline mutation p.P23fs (Figure 1). All tumor DNA samples were sequenced with matched remission or skin DNA as a germline control. The number of acquired mutations in familial tumors was similar to sporadic disease, with 10-22 (median=14) non-synonymous tier 1 mutations per sample. In addition to the acquired C-terminal CEBPA mutation, these included established AML loci such as EZH2, TET2, WT1, GATA2, NRAS, CSF3R and the recently identified cohesin complex gene, SMC3. Of note, FLT3-ITD, NPM1 and DNMT3A mutations were absent in all tumors. A minimum of 2 established mutations were identified in each tumor and, at present, we can only speculate on which additional mutations are ‘driver' or ‘passenger' events. Reflecting findings in sporadic AML, biallelic CEBPA and GATA2 mutations co-occurred in both siblings from Pedigree 1 and were subsequently identified by Sanger sequencing in the child III.2 (Figure 1). All 3 patients continue in long term remission following chemotherapy. We were able to trace the clonal evolution in patient I.2 (Pedigree 3) by WES of 3 consecutive tumor samples which arose over a 17 year period. At diagnosis (Dx) the patient received induction and consolidation chemotherapy and remained disease free for 14 years. The second disease episode (R1) was treated with chemotherapy followed by autologous SCT and the third presentation (R2) was chemo-refractory. Tumor DNA from R2 was clonally related to Dx, sharing 7 identical mutations, including the original C-terminal CEBPA deletion. In contrast, R1 appeared molecularly distinct from Dx and R2, most likely representing a new clone which was subsequently eradicated with treatment. Conclusion This is the first report of long term clinical outcomes in familial CEBPA-mutated AML. Although many patients experienced disease recurrence, our extended follow up showed that OS remained favorable despite multiple episodes of disease. Assessment of C-terminal CEBPA mutations provided a unique insight into the recurrence of AML, with some patients appearing to develop completely new leukemic episodes. Although the penetrance of germline mutations is high, healthy carriers and late onset disease are noted, emphasizing the need for clinical vigilance and screening of all related potential SCT donors. Disclosures: No relevant conflicts of interest to declare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.046
GPT teacher head0.355
Teacher spread0.309 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueBlood→Same topicAcute Myeloid Leukemia Research→French-language works237,207→