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Somatic Mutations in E3 Ubiquitin Ligase Deltex 1 Are Associated with Survival in Diffuse Large B-Cell Lymphoma

2014· article· en· W2567915243 on OpenAlexaff
Minna Taskinen, Leo Meriranta, Annika Pasanen, Riku Louhimo, Alejandra Cervera, Marja‐Liisa Karjalainen‐Lindsberg, Harald Holte, Jan Delabie, Rainer Lehtonen, Sampsa Hautaniemi, Sirpa Leppä

Bibliographic record

VenueBlood · 2014
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsDiffuse large B-cell lymphomaExome sequencingBiologyChemoimmunotherapyPTENCancer researchExomeSurvival analysisCancerGeneticsGeneLymphomaMutationInternal medicineMedicineImmunologyImmunotherapy

Abstract

fetched live from OpenAlex

Abstract Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous disease both biologically and clinically. Although a number of genetic alterations have been associated with the pathogenesis of DLBCL, survival association of most of the identified mutations remains to be shown. Here we have used exome and RNA sequencing (RNAseq) data to identify novel genetic events associated with treatment outcome after chemoimmunotherapy. Initial screen was performed with eight primary tumor samples and matched normal DNA using exome sequencing. The patients had clinically high risk DLBCL, and were treated in a Nordic phase II protocol with dose dense chemoimmunotherapy and CNS prophylaxis. After stringent filtering (VarScan2 p < 0.05), and removal of known germline variants, 967 somatic point mutations and indels in 561 different genes were identified. Of these, 436 were non-synonymous, and 27 were detected in more than one patient. These included both novel and several previously described DLBCL associated mutations, such as MYD88, CD79B, B2M and PTEN. To correlate the identified mutations with survival, we used RNAseq and survival data of 92 DLBCL samples from the Cancer Genome Characterization Initiative (CGCI) repository. The mutational status of the 436 genes identified in our screen was assessed with Bambino, which confirmed 405 of these genes also to be mutated in the CGCI set. Kaplan-Meier survival estimates per gene with at least one single nucleotide variant (SNV; with criteria of minimum 3 reads and 10% coverage and known polymorphisms filtered out) revealed 17 genes that were associated with overall survival (OS, p<0.05, minimum 10 samples mutated). We highlight mutations affecting Deltex1 (DTX1), which functions as an E3 ubiquitin ligase and targets Notch1 intracellular domain for degradation. In the study cohort, 14% of the patients had a non-synonymous DTX1 mutation. Mutations were equally distributed between GCB and ABC DLBCLs and low (0-2) and high (3-5) International Prognostic Index (IPI) risk groups. According to Kaplan-Meier analysis, the 5-year PFS rate for the patients with DTX1 mutations was significantly worse as compared to ones without mutations (46% vs 78%, p=0.010). The corresponding OS values were 54% and 85% (p=0.006). In multivariate analysis with IPI, DTX1 mutation status remained as an independent prognostic factor for both PFS (RR, 2.83; 95% CI, 1.17-6.85, p=0.021) and OS (RR, 3.51; 95% CI, 1.41-8.71, p=0.007). Mutational status was also found to correlate with the expression levels; the patients with mutations had lower DTX1 mRNA levels (p=0.006). When DTX1 mutations were analyzed according to different functional domains, 11 out of 16 (65%) were located in the first exon encoding the WWE 1 domain and a binding site for intracellular domain of Notch1. Interestingly, the patients with mutations in exon 1 had a significantly worse survival in comparison to other patients (Figure 1). Taken together, the results demonstrate that DTX1 mutations in DLBCL are an independent predictor of survival after chemoimmunotherapy, and mutations enriched in exon 1 identify cases with dismal prognosis. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

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 score0.001
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 integrity0.0000.000
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 head0.010
GPT teacher head0.228
Teacher spread0.218 · 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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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