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Correlation of Cytomorphology, Immunophenotyping, and Interphase Fluorescence in Situ Hybridization (FISH) in 381 Patients with MGUS and 310 Patients with Multiple Myeloma.

2009· article· en· W2979671217 on OpenAlexaboutno aff
Ulrike Bacher, Torsten Haferlach, Wolfgang Kern, Tamara Weiss, Susanne Schnittger, Claudia Haferlach

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsImmunophenotypingFluorescence in situ hybridizationMonoclonal gammopathy of undetermined significanceMultiple myelomaPathologyMedicineBone marrowFlow cytometryInternal medicineBiologyMonoclonalImmunologyMonoclonal antibodyAntibody

Abstract

fetched live from OpenAlex

Abstract Abstract 2812 Poster Board II-788 From cytomorphological aspects, monoclonal gammopathy of undetermined significance (MGUS) and multiple myeloma (MM) are overlapping disorders. According to the WHO classification, a threshold of 10% of plasma cells (PCs) in bone marrow (BM) aspirates separates both categories. To clarify whether this separation is justified from cytogenetic aspects, we performed comparison of interphase fluorescence in situ hybridization (FISH) patterns in 691 patients with MGUS (n=381) or MM (n=310). Also, the results of cytomorphology and immunophenotyping using multiparameter flow cytometry (MFC) were correlated. 278 females and 413 males (22.8-92.8 yrs) at first presentation of MM/MGUS were analyzed between 2005-2009 in our laboratory with a combination of cytomorphology, MFC, and FISH following magnetic activated cell sorting (MACS) of CD138+ PCs (Robosep, STEMCELL Technologies, Vancouver). According to cytomorphological WHO criteria, 381 patients were categorized as MGUS (median BM PCs, 5%), 310 as MM (median PCs, 18.5%). The number of FISH probes being applicable to samples was depending on the amount of plasma cells yielded from MACS procedure. In the MM pts, a median of 12 probes was applied (range, 0-22) which was slightly higher than in the MGUS patients (median: 11; 0-18) (p=0.00002). FISH procedure was hampered by insufficient PC numbers more frequently in MGUS (79/381, 20.7%) than in MM pts (29/310; 9.3%) (p=0.0004). In MM pts, FISH revealed a median of 2 and a maximum of 7 cytogenetic alterations per patient in contrast to a median of 0 and a maximum of 5 in MGUS (p<0.0001). In more detail, in MM the maximum number of gains of genetic material per patient was 7 (MGUS: 5), of losses 7 (MGUS: 3), and of reciprocal rearrangements 2 (MGUS: 1). Subsequently, cytogenetic alterations were compared in those 527 pts (260 MM and 267 MGUS pts; 76.3% of all pts), in whom PC numbers allowed performance of at least 5 FISH probes (t(11;14), t(4;14), t(14;16), 13q14, TP53). Abnormal FISH results were detected in 145/260 MM (55.8%) and 106/267 MGUS pts (39.7%) (p=0.0002). In MM, 31/260 (11.8%) had a t(4;14)/IGH-FGFR3 in contrast to 5/268 (1.9%) in MGUS (p<0.0001). The t(11;14)/IGH-CCND1 (MM: n=41; 15.6%; MGUS: n=50; 18.7%; n.s.) and t(14;16)/IGH-MAF were similarly frequent in both cohorts (MM: n=8; 3.1%; MGUS: n=3; 1.1%; n.s.). Monosomy13/del(13)(q14) was more frequent in MM (n=103; 39.3%) when compared to MGUS (n=59; 22.1%, p=0.0001). Deletions of TP53/17p13 were seen in 16 MM (6.1%) and in 6 MGUS pts (2.2%) (p=0.029). Notably, in 7 MGUS cases with <1% PCs in cytomorphology, FISH revealed genetic alterations in 3 cases. PCs as quantified by cytomorphology vs. MFC ranged from 0-96% vs. 0-84% (median 8.5 vs. 2.0), respectively, with a highly significant correlation between both methods (Pearson, r=0.712, p<0.0001). However, as previously reported, MFC detected lower numbers in general: the median ratio of PCs by cytomorphology:MFC amounted to 4.25 (range 0.00-178.00). In 12 MGUS cases (1.7%) as defined with cytomorphology, MFC did not detect any PCs. Conversely, in 5 MGUS cases, MFC detected PCs while cytomorphology did not. In conclusion, cytogenetic patterns showed higher genetic complexity in MM cases when compared to MGUS, and both the t(4;14) as -13/del(13)(q14) were significantly more frequent in MM when compared to MGUS. However, the cytogenetic alterations showed no specific pattern for MM or MGUS categories. Therefore, the overlaps being seen from morphological aspects do also exist on the genetic level. This suggests that a cytogenetically based categorization of these cases might correlate better with the clinical profiles than the cytomorphological separation of MM/MGUS. Finally, this study supports the performance of FISH in MGUS cases. The demonstrated detection of malignant/monoclonal PCs by MFC also in cases in which cytomorphology fails to diagnose MM/MGUS emphasizes the inclusion of MFC in a standard diagnostic procedure. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Equity Ownership. Weiss:MLL Munich Leukemia Laboratory: Employment. Schnittger:MLL Munich Leukemia Laboratory: Equity Ownership. Haferlach:MLL Munich Leukemia Laboratory: Equity Ownership.

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 score0.003
Threshold uncertainty score0.005

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 head0.006
GPT teacher head0.227
Teacher spread0.221 · 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
Published2009
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