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Record W2983038788 · doi:10.1182/blood-2019-130129

Predictors of Disease Progression and Survival in Patients with Myelodysplastic Syndrome Secondary to Inherited Bone Marrow Failure Syndromes

2019· article· en· W2983038788 on OpenAlexaffabout
Reena Pabari, Elisa Cohen, Geoff D.E. Cuvelier, Robert J. Klaassen, Conrad V. Fernandez, Josée Brossard, Sharon Abish, MacGregor Steele, Yves Pastore, Jeffrey H. Lipton, Meera Rayar, Vicky R. Breakey, Mariana Silva, Lawrence Jardine, Roona Sinha, Lisa Goodyear, Bruno Michon, Catherine Corriveau‐Bourque, Lillian Sung, Yeon Jung Lim, Bozana Zlateska, Yigal Dror, Michaela Cada

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsUniversity of AlbertaJaneway Children's Health and Rehabilitation CentreHospital for Sick ChildrenUniversity of SaskatchewanQueen's UniversityLondon Health Sciences CentreMcMaster Children's HospitalStollery Children's HospitalIzaak Walton Killam Health CentreAlberta Children's HospitalCentre hospitalier de l'Université LavalCentre Hospitalier Universitaire de SherbrookeKingston General HospitalPrincess Margaret Cancer CentreUniversity of TorontoRoyal University HospitalMontreal Children's HospitalUniversity of ManitobaChildren's Hospital of Eastern OntarioBC Children's HospitalUniversity Health NetworkSickKids Foundation
Fundersnot available
KeywordsCytopeniaMedicineInternal medicineMyelodysplastic syndromesInternational Prognostic Scoring SystemOncologyBone marrow failureBone marrowStem cellHaematopoiesisBiology

Abstract

fetched live from OpenAlex

Introduction Inherited bone marrow failure syndromes (IBMFSs) are rare genetic disorders characterized by abnormal hematopoiesis resulting in cytopenias and increased risk of myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML). Once patients develop MDS the only curative therapy is hematopoietic stem cell transplant (HSCT). The rate of progression from early MDS to advanced MDS and AML is variable and risk factors for progression in IBMFS patients are poorly defined. We hypothesized that certain variables could predict the likelihood of progression from early stages of IBMFS-associated MDS/clonal hematopoiesis to advanced MDS or AML, and that the type of disease progression may impact overall survival (OS). Methods Data were collected from patients prospectively enrolled in the Canadian Inherited Marrow Failure Registry (CIMFR), a collaboration of 1 adult and 16 pediatric hospitals in Canada that care for >95% of pediatric IBMFS patients. IBMFS patients were diagnosed as having a specific syndrome or unclassified IBMFS (UCIBMFS) based on published criteria from our lab and others'. Diagnostic criteria for pediatric MDS defined by Hasle et al. were used. Progression of MDS was defined as 1 or more of: (1) a new cytogenetic abnormality, (2) progression in cytopathology from refractory cytopenia (RC) or refractory cytopenia with ringed sideroblasts (RCRS) to refractory cytopenia with dysplasia (RCD), refractory cytopenia with excess blasts (RCEB) or AML, or (3) increased degree of cytopenia severity. Time to progression was described by Kaplan-Meier analysis and risk factors were evaluated using the Cox proportional hazards model. Results Of 601 patients enrolled in CIMFR, 59 (9.8%) developed cytogenetic clones/MDS. Thirteen (22%) had Fanconi Anemia (FA), 13 (22%) had Shwachman-Diamond Syndrome (SDS), 10 (16.9%) had UCIBMFS, and 23 (39%) had other marrow failure syndromes (i.e. Dyskeratosis Congenita, Severe Congenital Neutropenia, Diamond Blackfan Anemia, GATA2-related disorders). The majority presented with cytogenetic clones/RC (n=45, 76%), 9 (15%) had RCEB, 3 (5%) RCD and 1 (1.7%) RCRS. The most common cytogenetic abnormalities at presentation were -7/-7q (n=18, 30%) and isochromosome 7q10 (n=7, 12%). Four patients had complex cytogenetics (6.8%). Of the patients who developed MDS, 32 (54%) went to HSCT. Patients who developed MDS had significantly worse OS (HR 3, 95% CI 2 to 6, p<0.0001), which varied by IBMFS category. MDS patients with UCIBMFS had a statistically significant lower OS compared to those without MDS (HR 5.7, 95% CI 1.7 to 18.6, p=0.004). In contrast, patients with FA had poor OS regardless of whether or not they developed MDS. Twenty four MDS patients (40%) had disease progression, with a median time to progression of 4.7 months (1.14-131). Nine patients (38%) with disease progression had FA, 5 (21%) had SDS, 4 (17%) had UC, and 6 (25%) had other marrow failure syndromes. Ten patients (42%) developed more advanced cytopathology, 10 (42%) a new cytogenetic abnormality, and 5 (20%) worsening cytopenias. Eight patients progressed from RC to RCEB, with a median time to progression of 5.7 months (1.14 to 113). Progression to more advanced cytopathology was associated with lower OS (HR 2.7, 95% CI 1.0 to 7.4, p=0.046). Median time to progression of cytogenetics was 4.13 months (1.14 to 131), which was not predictive of worse OS (p=0.22). Notably, there was no difference in OS or risk of progression between the -7/-7q and isochromosome 7q groups (p=0.644). Finally, patients who progressed due to worsening cytopenias had significantly lower OS compared to those who did not (p=0.011), but numbers were small. Seventeen (71%) of the MDS patients who progressed underwent HSCT. Conclusion Development of MDS has a significant adverse impact on the OS of IBMFS patients, with disease progression occurring 4.7 months from MDS diagnosis. Progression to advanced cytopathology is associated with decreased survival, while worsening cytogenetic clones and cytopenias may not carry the same risk. Importantly, isochromosome 7q10 is also associated with a risk of progression to more severe hematological disease, and may have an impact on survival. Further analysis of additional variables (i.e. HSCT) will provide insight into the important predictors of survival and disease progression, and help to guide treatment decisions for this high-risk patient population. 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 score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.005
GPT teacher head0.229
Teacher spread0.224 · 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
Published2019
Admission routes2
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