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Record W4310106458 · doi:10.1182/blood-2022-163734

<i>JAK2 V617F</i> Mutation and Associated Chromosomal Alterations Involving <i>JAK2</i> in Pre-HCT Blood Samples and Transplant Outcomes in Myelofibrosis Subtypes

2022· article· en· W4310106458 on OpenAlexaff
Maryam Rafati, Derek W. Brown, Weiyin Zhou, Kristine Jones, Wen Luo, Andrew St. Martin, Youjin Wang, Stephen R. Spellman, Tao Wang, H. Joachim Deeg, Vikas Gupta, Stephanie J. Lee, Stephen J. Chanock, Mitchell J. Machiela, Wael Saber, Shahinaz M. Gadalla

Bibliographic record

VenueBlood · 2022
Typearticle
Languageen
FieldMedicine
TopicMyeloproliferative Neoplasms: Diagnosis and Treatment
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMyelofibrosisEssential thrombocythemiaMedicinePolycythemia veraInternal medicineHazard ratioOncologyMyeloproliferative neoplasmCumulative incidenceTransplantationProportional hazards modelImmunologyBone marrowGastroenterologyConfidence interval

Abstract

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Introduction: Myelofibrosis (MF) is a BCR-ABL1-negative myeloproliferative neoplasm that develops either de novo (primary myelofibrosis; PMF) or secondary to polycythemia vera (post-PV) or essential thrombocythemia (post-ET). JAK2 V617F is the most common somatic driver mutation in MF known to associate with disease progression. Allogeneic hematopoietic cell transplantation (HCT) is the only curative treatment modality for MF. There are limited data regarding the prognostic utility of JAK2 V617F mutation and mosaic chromosomal alterations (mCAs) spanning JAK2 in MF patients undergoing HCT. Methods: The study included 924 patients undergoing HCT for myelofibrosis (634 PMF, 135 post-PV, and 155 post-ET) between 2000-2016. Pre-HCT peripheral blood samples, clinical and post-HCT data were provided by the Center for International Blood and Marrow Transplant Research (CIBMTR) registry and biorepository. We used PacBio Single Molecule Real-Time (SMRT) sequencing to detect the JAK2 V617F mutation, and Illumina Infinium Global Screening Array-24v1-0 to identify mCAs; this analysis focused on mCAs involving JAK2 (9p24.1). We used the Kaplan-Meier estimator to calculate the probability of overall survival (OS), and the cumulative incidence estimator for relapse/disease progression incidence and non-relapse mortality (NRM), where each was treated as a competing event for the other. Cox proportional hazard models were used for multivariable analyses. Analyses were completed separately by MF disease subtype. Follow up started at date of HCT. Results:JAK2 V617F mutation was detected in 562 patients (60.8%) with noted expected differences by disease subtype (57.6% of patients with PMF, 97% of post-PV, and 42.6% of post-ET). Almost all patients with mCAs involving JAK2 region were found to be JAK2 V617F mutation-positive (366 out of 374, 97.9%). In JAK2 V617F positive cases, the frequencies of mCA-positive patients per MF subtypes were as follow: 58.08% of PMF, 89.3% of post-PV, and 56.06% of post-ET. The mean allele burden for JAK2 V617F mutation was 57%, 78%, and 60% in PMF, post-PV, and post-ET, respectively. The probabilities of 3-year post-HCT OS were 55% (95% CI=51-58) for PMF, 59% (95% CI=51-67) for post-PV and 59% (51-66) for post-ET. The corresponding 3-year post-HCT cumulative incidences for relapse were 31% (95% CI=28-35), 31% (95% CI=24-40), and 33% (95% CI=26-41); and for NRM were 29% (95% CI=26-33), 25% (95% CI=18-32), and 23% (95% CI=17-30), for PMF, post-PV, and post-ET, respectively. In PMF, JAK2V617F mutation, JAK2 mCAs, or mutation allele burden were not associated with any of the evaluated HCT outcomes (p>0.05 for all). In post-PV, all four patients without JAK2V617F mutation died in the first 12 months after transplantation. No statistically significant associations between HCT outcomes and JAK2V617F allele burden was noted (p>0.05). For post-ET, patients with high mutation allele burden (³60%) had three-fold excess risk of NRM compared with mutation-negative patients (hazard ratio [HR]=2.9, 95% CI=1.21-6.93, p=0.01). No risk difference was noted between post-ET patients with low allele burden and risk of NRM (HR=0.89, 95% CI=0.34-2.31). No statistically significant association between JAK2V617F mutation status and risk of relapse for high or low mutation allele burden as compared with mutation-negative post ET patients was observed (HR=1.42, p=0.30 in patients with allele burden<60%, and HR= 1.54, p=0.26 for patients with allele burden³60%). JAK2V617F mutation status in post-ET patients was not associated with post HCT OS (HR=1.31, 95% CI=0.78-2.2, p=0.31). Conclusion: The effect of JAK2V617F mutation on post-HCT outcome differs by myelofibrosis subtypes. HCT outcomes in primary and post-PV myelofibrosis were not associated with JAK2 alterations, but high JAK2V617F mutation allele burden in post-ET was associated with elevated risk of non-relapse mortality but did not translate to a statistically significant survival disadvantage. Our findings suggest that allogeneic HCT for myelofibrosis may alleviate the known negative effect of JAK2V617F mutation in those patients, particularly for primary myelofibrosis and post-PV. It is essential to consider evaluating these findings within the context of other MF driver genes. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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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)0.001
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.015
GPT teacher head0.242
Teacher spread0.227 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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