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Comprehensive Genomic Analysis of Adult Burkitt Lymphoma Identifies the B-Cell Receptor Signaling Pathway As a Potential Therapeutic Target

2016· article· en· W2610790606 on OpenAlexaff
Alyssa Bouska, Chengfeng Bi, Waseem Lone, Weiwei Zhang, Ambreen Kedwaii, Tayla B. Heavican, Cynthia M. Lachel, Jiayu Yu, Kai Fu, Roberto Ferro, Nanees Eldorghamy, Timothy C. Greiner, Julie M. Vose, Dennis D. Weisenburger, Randy D. Gascoyne, Andreas Rosenwald, German Ott, Elı́as Campo, Lisa M. Rimsza, Elaine S. Jaffe, Rita M. Braziel, Reiner Siebert, Rodney R. Miles, Sandeep S. Davé, Anupama Reddy, Timothy W. McKeithan, Louis M. Staudt, Michael R. Green, Wing C. Chan, Javeed Iqbal

Bibliographic record

VenueBlood · 2016
Typearticle
Languageen
FieldMedicine
TopicLymphoma Diagnosis and Treatment
Canadian institutionsBC Cancer Agency
Fundersnot available
KeywordsBurkitt's lymphomaMedicineLymphomaOncologyChromosomal translocationGene expression profilingSNPGeneCancer researchInternal medicineBiologySingle-nucleotide polymorphismGeneticsGenotypeGene expression

Abstract

fetched live from OpenAlex

Abstract Burkitt lymphoma (BL) is the most common non-Hodgkin lymphoma (NHL) in children. Although it accounts for only 1-5% of NHL in adults, approximately 60% of the BL cases diagnosed each year in western countries occur in patients >40 years of age. Although adult and pediatric BL cases are indistinguishable by molecular classification, pediatric patients have a significantly better outcome than adults. While translocation of MYC to the immunoglobulin heavy or light chain genes is characteristic of pediatric and adult BL, genetic differences may contribute to the superior clinical outcome of childhood cases. Therefore, we aimed to identify the spectrum of additional genetic abnormalities that occur in adult and pediatric BL. Copy number analysis, gene expression profiling (GEP), and targeted sequencing of ~400 genes known to be mutated in NHLs were performed on a cohort of molecularly defined BL samples. Copy number abnormalities (CNAs) were identified by the Affymetrix 250k NspI SNP array in 73 BL tumors (28 adult, 45 pediatric), and sequencing was performed on 52 BLs (21 adult, 31 pediatric). Pediatric cases had fewer CNAs than adults. The most common focal abnormality identified was a gain on 13q31.3 encompassing MIR17HG. It was more frequent in adult compared to pediatric cases (35% vs 16%, p=0.085) and was associated with increased expression of miR-17~92 cluster members; and among adults, patients with this gain trended towards worse overall survival, though the number of cases with available information was small. Gain of 8q was found in ~20% of adult cases, but in no pediatric cases. Surprisingly, cases with 8q gain had significantly lower MYC mRNA expression (p< 0.001) and lower protein expression. In cases with MYC gain 0/4 cases were positive for MYC protein expression by immunohistochemistry; in contrast,6/10 cases with no MYC gain were positive for MYC expression. This suggests that gain of 8q is driven by another gene in the region. Additional genetic alterations included gains of genomic loci encompassing MCL1 and MDM4 (1q21-24) and losses encompassing RB1, p53 and CDKN2A/CDKN2B. Pathway analysis of genes differentially expressed by CN status showed an enrichment of genes involved in cell cycle regulation, the p53 signaling pathway, and the ubiquitin proteasome pathway. The frequencies of mutations in commonly mutated genes including MYC, ID3, TP53, CCND3, DDX3X, ARID1A, and TCF3 were not significantly different in adult and pediatric BL. However, BCL2, (43%, p<0.001), ZFHX3 (24%, p<0.01), SPTBN5 (20%, p=0.02), RB1 (14%, p=0.06), BTG1 (14%, p=0.06), TCF4 (14%, p=0.06), and TNFRSF14 (14%, p=0.06), were exclusively mutated in adult BL. In contrast, mutations in CDH23 (29% vs 5%, p=0.04) and SMARCA4 (35% vs 19%, p=0.05) were more frequent in pediatric BL. When mutations were placed into oncogenic pathways, mutations in genes regulating the PI3K-AKT pathway did not shown significant differences between adult and pediatric cases. Mutations promoting tonic BCR signaling (TCF3 and ID3) by activation of the PI3K pathway had similar frequencies in the two age groups, however, BCR signaling effectors inducing chronic active NF-kB signaling (CD79A, SYK, MYD88, BCL10, CARD11) were significantly associated with adult BL (adult cases with any mutation: 19% vs 7%). Gene expression studies suggested activated BCR signaling in BL cases with CN gain of miR-17~92. In vitro analysis of miR17~92 in BL cell lines (n=4) showed that functional loss of miR-17 ~ 92 expression using a miRNA sponge led to reduced proliferation. Treatment of BL cell lines with anti-IgM induced BCR activation in a time- and dosage-dependent manner, as estimated by increased phosphorylation of downstream mediators (SYK and BLNK). This activation was reduced upon loss of functional miR-17 ~ 92 expression in cell lines. Since miR-17~92 can directly inhibit proximal negative regulators of BCR signaling, treatment with the FDA-approved BTK inhibitor, Ibrutnib, further inhibited proliferation of BL cell lines carrying the miRNA sponge. The BCR signaling pathway is one example of how unique abnormalities in adult BL can provide possible targets for therapeutic intervention. 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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.229
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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