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Record W3097225763 · doi:10.1182/blood-2020-133760

The Mutational Landscape of Cold Agglutinin Disease

2020· article· en· W3097225763 on OpenAlexaff
Agnieszka Małecka, Gunhild Trøen, Jan Delabie, Ingunn Østlie, Anne Tierens, Ulla Randen, Sigbjørn Berentsen, Geir E. Tjønnfjord

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsExome sequencingBiologyExomeMutationAutoimmune hemolytic anemiaGeneticsImmunologyMolecular biologyGeneAntibody

Abstract

fetched live from OpenAlex

Primary cold agglutinin disease (CAD) is a rare autoimmune hemolytic anemia mediated by monoclonal IgM autoantibodies directed against the I antigen on erythrocytes. CAD is due to a B-cell lymphoproliferative disorder of the bone marrow. We have previously reported recurrentKMT2DandCARD11mutations and trisomy 3 and 12 or 18 in CAD patients (Malecka et al., 2018 & 2020). In addition, we have revealed that the cold-reactive antibody is highly stereotyped (Malecka et al., 2016). In this study, we present new and detailed data on the mutation landscape of CAD patients. We have analyzed the bone marrow from 14 patients with CAD, included in a recent clinical trial (Berentsen et al., 2017), by whole exome sequencing. Clonal B cells and normal T cells (normal control) were acquired using fluorescence-activated cell sorting. The data from whole exome sequencing were aligned to the human genome hg38 and analyzed as described before (Malecka et al., 2020). Variant discovery and functional annotation were performed with the use of GATK4 tools: Mutect2 and Funcotator. Detected mutations were validated manually using IGV browser. The total amount of non-synonymous mutations detected in each CAD sample ranged from 13 to 62, while the total amount of all mutations in the exome regions ranged from 36 to 163 (Figure 1A). Four genes showed non-synonymous mutations in 3 or more cases, these are:KMT2D(8/14; 57%),IGLL5(5/14; 36%),CARD11(3/14; 21%),CXCR4(3/14; 21%) (Figure 1B and Table 1). Additionally, several genes showed non-synonymous mutations in 2 of the 14 cases (14%):PHLDB1, HIST1H1E, LPIN3, LTB, MACF1, NBEA, NEFH, PCNX2, RRAGC, TMPRSS7, ZNF618(Figure 1B). A majority of these genes are also found mutated in lymphoma. All patients with eitherCARD11orCXCR4mutations have concurrentKMT2Dmutations. One patient has bothCARD11andCXCR4mutations together withKMT2Dmutation. Recurrent mutations seem to cluster in some of the cases (Figure 1C). Almost all patients with aKMT2Dmutation (7/8, 87%) have at least 3 other recurrent mutations. Patients with aCARD11(3 cases) or aCXCR4(3 cases) mutation have at least 3 other recurrent mutations. KMT2Dmutations are found in many lymphomas and are associated with Kabuki syndrome. It is suggested thatKMT2Dis a tumor suppressor gene, andKMT2Dmutations might act as driver mutations in many lymphomas. In addition,CARD11mutations in our cases are located in coiled-coil domain in exon 6, and therefore it is expected to result in NF-kB activation (Malecka et al. 2018).IGLL5is located in the IG lambda locus. The function of theIGLL5gene is unknown, but it is homologues to theIGLL1gene known to be important in B cell development.IGLL5mutations are seen in lymphoma as well as other malignancies and might have some prognostic value in diseases like multiple myeloma.CXCR4has been implicated in the migration and trafficking of malignant B cells in several hematological malignancies.CXCR4mutations are frequently seen in lymphoplasmacytic lymphoma, and almost always in combination with aMYD88mutation. In our series, aCXCR4mutation always occurs in combination with aKMT2Dmutation.MYD88was not found to be mutated. Detected mutations in theCXCR4gene are of potential therapeutic interest, sinceCXCR4inhibitors exist. CAD patients with aKMT2Dmutation associated with other recurrent mutations (Figure 1C), show a trend to lower hemoglobin levels at diagnosis compared to patients with noKMT2Dmutation or patients withKMT2Dmutation without other recurrent mutations. We are currently working on sequencing clonal B cells from additional patients in order to confirm these findings. In conclusion, CAD-associated lymphoproliferative disease shows a relatively low mutation burden. but with recurrent gene mutations. The most common recurrent mutations are in genes known to be involved in lymphoma development. Our preliminary data suggest thatKMT2Dmutation associated with other recurrent mutations might determine severity of hemolysis. Disclosures Tierens: Amgen:Membership on an entity's Board of Directors or advisory committees;Jazz Pharmaceuticals:Membership on an entity's Board of Directors or advisory committees;Astellas Pharma:Membership on an entity's Board of Directors or advisory committees.Berentsen:Mundipharma:Research Funding;Apellis Pharmaceuticals:Consultancy, Other: lecture honoraria;Bioverativ:Consultancy, Other: lecture honoraria;Janssen-Cilag:Other: lecture honoraria;Momenta Pharmaceuticals:Consultancy;True North Therapeutics:Other: lecture honoraria;Alexion Pharmaceuticals, Inc,:Other: lecture honoraria.Tjønnfjord:Mundipharma:Other: A grant from Mundipharma to cover the expenses of bendamustine for the CAD5 study.

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 score0.048
Threshold uncertainty score0.107

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 head0.012
GPT teacher head0.224
Teacher spread0.213 · 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
Published2020
Admission routes1
Has abstractyes

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