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Record W4310119465 · doi:10.1182/blood-2022-169710

CCUS and Low-Risk MDS Are Inherently Similar, Sharing Clonal and Clinical Features

2022· article· en· W4310119465 on OpenAlexaff
Christina K. Ferrone, Amy J. M. McNaughton, Iran Rashedi, Rena Buckstein, Hubert Tsui, Michael J. Rauh

Bibliographic record

VenueBlood · 2022
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsSunnybrook Health Science CentreHealth Sciences CentreQueen's University
Fundersnot available
KeywordsCytopeniaMyelodysplastic syndromesMedicineMyeloproliferative neoplasmInternal medicineMyeloidDysplasiaIncidence (geometry)Clinical significanceOncologyBone marrowMyelofibrosis

Abstract

fetched live from OpenAlex

Background Idiopathic cytopenia of undetermined significance (ICUS) is a condition of unexplained blood cytopenia not meeting the diagnostic criteria of myelodysplastic syndromes (MDS). Recently, the newer designation of clonal cytopenia of undetermined significance (CCUS) has been proposed to characterize patients with ICUS in the presence of one or more somatic mutations or copy number abnormalities. Clinically, CCUS has been associated with an increased risk of developing MDS; however, the mechanism and factors associated with evolution remain unclear. We sought to determine the molecular similarity of cytopenic cases with equivocal morphological dysplasia to bona fide MDS, as well as whether serial sequencing of ICUS and CCUS cases could identify factors that predict evolution to MDS. Methods We compared the incidence and frequency of somatic variants in 48 genes recurrently mutated in myeloid neoplasms (MNs), using targeted Next-Generation Sequencing (NGS) of bone marrow genomic DNA from 193 individuals with confirmed or suspected MDS or MDS/myeloproliferative neoplasm (MDS/MPN), including sequential investigation for 28 individuals at the time of diagnosis and during follow-up. Cytopenias qualifying patients as ICUS were based on WHO laboratory diagnostic criteria: hemoglobin levels <130g/L for males or <120 g/L for females; platelet count <150x109/L; and neutrophils <1.8x109/L. MDS patients were further subclassified as low risk (MDS-LR), including "Very Low” and "Low” International Prognostic Scoring System-Revised (IPSS-R) categories; intermediate risk (MDS-IR), including "Intermediate” category; or high risk (MDS-HR), including "High” and "Very High” risk categories. Results NGS further facilitated the diagnosis of all suspicious cases, either as MN (21%), CCUS (34%), or ICUS (45%). We found that there was no significant difference in most measured clinical features between CCUS and MDS-LR. While we saw significantly increased hemoglobin and platelet counts in individuals with CCUS compared with MDS-HR (Mann-Whitney U test; p=0.003 and p=0.012, respectively), no significant differences in cell counts were seen between CCUS and the MDS-LR or MDS-IR subgroups (Table 1). There was also no difference in overall survival between CCUS and MDS-LR when adjusted for age and sex in multivariable models (HR=0.575; 95% CI=0.256-1.294; p=0.330), while MDS-HR was associated with worse overall survival when compared with CCUS (HR=2.759; 95% CI=1.274-5.975; p=0.010). We saw no significant difference in clonal phenotypes, including number of variants or variant allele frequencies (VAFs), when comparing CCUS and MDS-LR. We further classified genes mutated in at least one patient in our cohort into functional groups for further analysis. These groups included epigenetic regulators: ASXL1, BCOR, DNMT3A, EZH2, IDH1, IDH2, KDM6A, PHF6, RAD21, STAG2, TET2; splicing factors: DDX41, SF3B1, SRSF2, U2AF1, ZRSR2; genes involved in signal transduction: BRAF, CALR, CBL, CSF3R, FLT3, GNB1, JAK2, KIT, KRAS, MPL, NF1, NPM1, NRAS, PTPN11, SETBP1; transcription factors: CEBPA, ETV6, GATA2, RUNX1; and genes involved in DNA damage repair: PPM1D and TP53. A significantly higher number of transcription factor mutations was seen when comparing CCUS to the MDS-IR and MDS-HR groups (p=0.007 and p=0.008, respectively), but not the MDS-LR group (p=0.754). We did, however, see significant significantly lower number of splicing factor mutations in CCUS cases compared with MDS-LR (p<0.001; Figure 1). Serial sequencing revealed no significant associations between number, type, or VAF of variants initially present at ICUS or CCUS diagnosis compared to those later acquired at the time of MDS evolution. Of note, we saw an increased probability of evolution to MDS of individuals with CCUS compared to ICUS over the first 5 years (HR=3.569; 95% CI=1.029-12.380, p=0.045). Conclusions Our analyses revealed no conclusive pattern associating clonal expansion or number of variants with evolution of CCUS to MDS, perhaps further supporting the similarity of these diseases and the proposal that CCUS should be classified as low-risk MDS in the next revision of the WHO guidelines. If future studies can better associate variants in specific types of genes with progression (such as splicing factors), this may also assist in predicting the probability of evolution and thus inform management strategies. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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)0.002
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 score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.026
GPT teacher head0.322
Teacher spread0.297 · 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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Citations1
Published2022
Admission routes1
Has abstractyes

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