MétaCan
Menu
Back to cohort

Whole Genome Sequencing Of Chronic Myeloid Leukemia (CML)-Derived Induced Pluripotent Stem Cells (iPSC) Reveals Faithful Genocopying Of Highly Mutated Primary Leukemic Cells

2013· article· en· W266794678 on OpenAlexaff
Ivan Sloma, Maria Teresa Mitjavila‐Garcia, Olivier Féraud, Noufϊssa Oudrhiri, Lucie Tosca, Sanaa El Marsafy, Emilie Gobbo, Dominique Divers, Alexis Proust, Frank Griscelli, Gérard Tachdjian, Marco A. Marra, Connie J. Eaves, Annelise Bennaceur‐Griscelli, Ali G. Turhan

Bibliographic record

VenueBlood · 2013
Typearticle
Languageen
FieldMedicine
TopicChronic Myeloid Leukemia Treatments
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsInduced pluripotent stem cellBiologyCancer researchMyeloid leukemiaKLF4SOX2Stem cellMyeloidProgenitor cellGeneticsGeneEmbryonic stem cell

Abstract

fetched live from OpenAlex

Abstract Genetic instability is a hallmark of chronic myeloid leukemia (CML). Recently, several major abnormalities in DNA repair mechanisms have been identified in primitive CML cells that likely explain the additional mutations these cells develop leading to their selective growth under tyrosine kinase inhibitor (TKI) therapies. It seems likely that such mechanisms also underlie disease progression in CML. However, an understanding of the specific somatic mutations involved and investigations of their resulting effects on the biological behavior of primary sources of primitive chronic phase (CP) CML cells is extremely challenging. As an alternative approach, we have now explored the possibility of applying whole genome sequencing (WGS) to induced pluripotent stem cells (iPSCs) derived from primitive CML cells to determine if such iPSCs, genocopy the mutations present in the diagnostic sample from which they were generated and whether primitive hematopoietic cells derived from these iPSCs might be useful for future drug screening experiments. To this end, we chosen a CML patient whose CP clonogenic cells contained both the Ph1 chromosome and the JAK2 V617F mutation and whose disease progressed into an accelerated phase (AP) during TKI therapy. iPSC were generated from leukemic cells obtained at the time of AP using Oct4, Sox2, Klf4 and c-Myc gene transfer. The presence of both BCR-ABL and JAK2 V617F was confirmed in 24/24 iPSC colonies. A control iPSC line negative for both genes was similarly established from the patient’s CD34+CD31+ endothelial progenitors purified from peripheral blood. We then performed WGS on DNA prepared from the leukemic cells obtained at diagnosis of CP (CML 006), the AP cell-derived iPSCs (PB34), and the control non-leukemic iPSCs (PB13), using a HighSeq Illumina platform. WGS revealed 845,175 somatic SNVs and 68,817 somatic short Indels in the CP leukemic cells at diagnosis that were not present in the non-leukemic iPSCs (PB13). 49,225 of these SNVs and 11,665 of the short Indels were novel (absent in the dbSNP database), and 419 were found in the COSMIC database. We identified 274 novel SNVs (3 missense, 161 nonsense, 108 synonymous and 2 splice site mutations) and 46 short Indels (19 insertions and 27 deletions). Most of the novel coding SNVs and Indels were heterozygous and an estimation of the variant allele frequency indicated these were present in virtually all leukemic cells. In addition to the JAK2 V617F mutation that was present at diagnosis, we found a novel frame shift mutation in exon 12 of ASXL1 gene (p.S871YfsX5) leading to protein truncation, a genetic event that has also been associated with myeloproliferative neoplasms (MPNs) and AML. We also identified several novel SNVs predicted by SIFT, Provean and PolyPhen-2 algorithms to be deleterious for protein structure. These novel mutations were found in genes relevant for the pathophysiology of MPNs, including the catenin (CTNNA1 R204C, and AIDA K235T), RAS (RREB1 P789T), autophagy (ULK1 R553C) cellular antioxidant defense (GSR S293C), RNA nuclear transport (NUP160 start loss) pathways. Individual sequencing confirmed the presence of these mutations in PB34 and their absence in PB13 (non-leukemic iPSC). We next compared the sequence data from the AP leukemic cell-derived iPSCs (PB34) with the diagnostic data (CML006). This analysis showed only 799 additional somatic SNVs and 96 new short Indels compared with those already evident in the cells present at diagnosis. Only 4 (3 non synonymous and 1 synonymous) SNVs and no Indels were found in exons. These mutations could have appeared during the application of the reprogramming process to the AP leukemic cell-derived iPSCs; none was an obvious contributor to MPN pathophysiology. Finally, we showed that day16 embryoid bodies derived from the PB34 iPSCs contained expected numbers of CD34+ cells (18±11%, n=6) and BCR-ABL-expressing hematopoietic colony-forming cells (CFCs, 143±64 / 105 cells, n= 6). These CFCs showed a slight inhibitory response to imatinib (54±15% colonies obtained in 1 µM IM, n=4) whereas a combination of IM and Pimozide (a STAT5 phosphorylation inhibitor), reduced survival another ∼10-fold. In conclusion, we have provided proof-of-principle results illustrating the potential of iPSC technology in combination with WGS to dissect the clonal evolution of disease progression in CML and develop patient specific drug screens that could build on this data. Disclosures: Turhan: BMS, Novartis: Honoraria, Research Funding.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.018
GPT teacher head0.219
Teacher spread0.201 · 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 designBench or experimental
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

Citations2
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueBloodSame topicChronic Myeloid Leukemia TreatmentsFrench-language works237,207