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Record W2984052520 · doi:10.1182/blood-2019-121750

Cold Agglutinin Disease Shows Highly Recurrent Gains of Chromosome 3, 12 and 18

2019· article· en· W2984052520 on OpenAlexaff
Agnieszka Małecka, Jan Delabie, Ingunn Østlie, Anne Tierens, Ulla Randen, Sigbjørn Berentsen, Geir E. Tjønnfjord, Gunhild Trøen

Bibliographic record

VenueBlood · 2019
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsBiologyMolecular biologyExome sequencingExomeChromosomeCopy-number variationGeneticsGeneMutation

Abstract

fetched live from OpenAlex

Cold agglutinin disease (CAD) is a rare autoimmune hemolytic anemia, caused by a distinct type of B-cell lymphoproliferative disease of the bone marrow. Anemia is mediated by binding of monoclonal cold agglutinin antibodies to the erythrocyte surface I antigen at temperatures below central body temperature, followed by agglutination and complement activation. These antibodies are almost exclusively encoded by IGHV4-34. We recently found recurrent KMT2D and CARD11 gene mutations in CAD (Malecka, et al 2017). We analyzed 12 CAD samples from the CAD-5 study (NCT02689986) (Berentsen, et al 2017) using Affymetrix OncoScan CNV Plus Assay and exome sequencing data in order to detect chromosomal aberrations. All samples were sorted using fluorescence activated cell sorting prior to analysis. Complete or partial gain of chromosome 3 (+3 or +3q) was detected in all samples (Table 1). Additionally, most cases showed either gain of chromosome 12 or 18 (9/12) (Table 1). Additional small regions of recurrent gain or loss were also detected in other chromosomes. The recurrent changes in least 4 samples are: +1p36.31-p36.13, -8p21.3-p21.2, +9q34.2-q34.3, +11q13.1-q13.2, +17q25.3, +21q22.3, +22q13.31-q13.33. Gains and losses of large parts of chromosomes are clearly visible in both Affymetrix OncoScan CNV Plus Assay and exome sequencing data (Figure 1). In contrast smaller changes are often not visible in exome sequencing data and therefore could not be fully validated. Further validation will be required for smaller chromosomal changes. Gain of chromosome 3/3q was characteristic for all CAD cases analyzed. Gain of chromosome 3 in CAD has previously been reported in 9 of 26 patients (Gordon, et al 1990, Michaux, et al 1995). Gain of chromosome 3 is not a highly recurrent finding in most B-cell lymphomas with the exception of marginal zone lymphoma (MZL). Of interest, gain of chromosome 12 and 18, demonstrated in our study, is also a feature of MZL. These findings, together with our previous findings (Malecka, et al 2017), suggest that the CAD-associated lymphoproliferative disease, although exclusively present in the bone marrow, might be related to MZL. The CAD-5 study assessed the efficacy of bendamustine plus rituximab in CAD patients. We explored whether a correlation existed between presence or absence of trisomy 12 and 18 with response to therapy. Although the series is small, we found a trend towards poorer response in patients with trisomy 18 compared to patients with trisomy 12. Furthermore, both patients without trisomy 12 or 18 had the best responses (Table 1). Despite the limited number of cases the Pearson correlation was statistically significant (p=0.02). However, more samples need to be analyzed to confirm these results. A correlation between response to therapy and presence of trisomy 12 or 18 has previously been demonstrated for other B-cell lymphomas. Trisomy 12 is frequent in patients with small lymphocytic lymphoma (28-36%) and in chronic lymphocytic leukemia (10-25%) and in the latter +12 is associated with intermediate prognosis (Autore, et al 2018). Trisomy 3 and 18 are found to be correlated with advanced stage extranodal marginal zone lymphoma (Krugmann, et al 2005). There is evidence from previous studies that trisomy 18 may be associated with upregulation of BCL2, an anti-apoptotic gene located on chromosome 18. Whether BCL2 is upregulated in CAD with trisomy 18 and whether it might be the cause of therapy resistance, needs to be investigated. Such a study is of importance since BCL2 inhibitors might be considered to improve treatment responses. We conclude that gain of chromosome 3 is a highly recurrent finding in CAD-associated lymphoproliferative disease. Further gain of chromosome 12 and 18 might be predictors of therapy outcome. These genetic findings are similar to what has previously been demonstrated in nodal and extranodal MZL, suggesting that CAD-associated lymphoproliferative disease, a disease of the bone marrow, might be related to MZL. Disclosures Berentsen: Mundipharma: Research Funding; Apellis, Bioverativ (a Sanofi company), Momenta Pharmaceuticals, and True North Therapeutics: Consultancy; Alexion, Apellis, and Janssen-Cilag: Honoraria. Tjønnfjord:Mundipharma: 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.183
Threshold uncertainty score0.380

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.250
Teacher spread0.232 · 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 teacher head, 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
Published2019
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