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Splicing Mutations in the Hyaluronan Synthase I Gene of Patients with Monoclonal Gammopathy of Undetermined Significance.

2009· article· en· W2559408837 on OpenAlexaff
Hemalatha Kuppusamy, Amanda Warkentin, Andrew R. Belch, Linda M. Pilarski

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldMedicine
TopicMultiple Myeloma Research and Treatments
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsRNA splicingIntronBiologyExonMutationMonoclonal gammopathy of undetermined significanceGeneticsMolecular biologyGeneMonoclonalMonoclonal antibodyRNAAntibody

Abstract

fetched live from OpenAlex

Abstract Abstract 2841 Poster Board II-817 Introduction: Monoclonal gammopathy of undetermined significance (MGUS) is the most common plasma cell disorder. A small proportion of MGUS transform to multiple myeloma (MM) or other B lineage malignancies. Hyaluronan synthase I (HAS1) is overexpressed in many human cancers, including MM. Here we show that intron 3, a region involved in aberrant splicing of HAS1, is heavily mutated in 34 patients with MGUS. Aberrant splicing of HAS1 correlated with poor outcome in a cohort of MM patients. HAS1 is GC-rich and as such is likely to be subject to mutation events. We recently reported a series of nearly 200 HAS1 mutations in 17 MM and Waldenstrom's macroglobulinemia (WM) patients, that were absent from healthy donors (Adamia et al, Blood, 2008, 112:5111). Forty-nine of these HAS1 mutations were recurrent, defined as being present in more than one patient. None of them were present in sequenced regions of HAS1 from a small series of MGUS patients. Mutated HAS1 DNA directs aberrant splicing of HAS1 and in vitro mutagenesis of HAS1 intron 3 alters HAS1 splicing patterns (see abstract by Kriangkum et al.), mimicking the aberrant splicing seen in MM patients. To sequence HAS1 from a larger cohort, we developed a streamlined sequencing strategy that allowed rapid sequencing of exon 3 and intron 3, regions of the HAS1 gene rich in mutations. Our objective was to identify HAS1 mutations in MGUS as compared to a larger cohort of MM and healthy donors. Many reports have shown familial clusters of MGUS and MM and of other B cell malignancies involving MGUS, supporting the idea that genetic factors, and possibly genetic predispositions, contribute to the development of disease. Patients and Methods: We sequenced HAS1 regions from 34 MGUS patients, 50 MM patients, and 45 healthy donors. In all cases, we sequenced an 850 bp region covering exon 3 and intron 3 of the HAS1 gene. For each patient, we sequenced eight HAS1 region subclones, in both directions. To predict impact of recurrent HAS1 mutations on the splicing process, we performed in silico analysis using online bioinformatic tools. Results: To date we have identified, 117 HAS1 mutations in HAS1 gene in MGUS patients including 5 frequently detected NCBI single nucleotide polymorphisms (SNPs). Although the same NCBI SNPs were also identified in healthy donors, increased homozygosity was detected in MGUS patients compared to healthy donors. Overall, among the novel HAS1 mutations, 32 (27%) were shared between MGUS and MM but absent in healthy donors, defining them as recurrent. Seven of the 32 mutations (23%) shared between MGUS and MM were recurrent in 2-3 individual MGUS patients; three of the recurrent MGUS mutations were missense mutations present in the coding region of exon 3, changing the protein sequence. Our initial bioinformatic analysis showed that the two of the shared recurrent mutations were found in the SR protein binding sites of the pre-mRNA and may contribute to aberrant splicing of the primary HAS1 transcript. We predict that our ongoing analysis HAS1 mutations in MGUS patients will identify a subpopulation(s) at high risk of aberrant splicing and thus at increased risk of transformation to overt MM. Conclusion: HAS1 appears to be hypermutated, perhaps due to its GC-rich nature. HAS1 mutations were identified in patients with a clinical diagnosis of MGUS (range of 1-14 mutations per MGUS). Thirty-two HAS1 mutations were recurrent in MGUS and MM but were absent from healthy donors. Some of these mutations are predicted to have functional significance for protein sequence and pre-mRNA splicing, possibly leading to increased risk for or predisposition to disease. Although genetic background and environmental context are likely to be important factors, our report of novel mutations in HAS1 of MM and WM patients, confirmed now in MGUS, suggests that mutations in HAS1 may play a key role in oncogenesis. Further genetic analysis of patient populations and the biochemical characterization of the mutated proteins will provide considerable insight into the function of HAS1 during transformation from MGUS to overt MM. Disclosures: No relevant conflicts of interest to declare.

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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 score0.001
Threshold uncertainty score0.004

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 integrity0.0010.000
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 head0.018
GPT teacher head0.273
Teacher spread0.255 · 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
Admission routes1
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