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Record W2910406726 · doi:10.1182/blood-2018-99-113516

Somatic PRAME Deletions Are Associated with Decreased Immunogenicity, Apoptosis Resistance and Poor Outcomes in Diffuse Large B-Cell Lymphoma

2018· article· en· W2910406726 on OpenAlexaff
Katsuyoshi Takata, Daisuke Ennishi, Ali Bashashati, Saeed Saberi, Elena Viganò, Shannon Healy, Julie S. Nielsen, Gianluca D' Antonio, Brad H. Nelson, Sohrab P. Shah, Joseph M. Connors, Randy D. Gascoyne, David W. Scott, Christian Steidl

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsBC Cancer AgencySpinal Cord Injury BC
Fundersnot available
KeywordsDiffuse large B-cell lymphomaLymphomaOncologyPopulationInternal medicineBiologyImmunologyCancer researchMedicine

Abstract

fetched live from OpenAlex

Abstract Background: The current standard of care in diffuse large B-cell lymphoma (DLBCL) consists of chemotherapy and therapeutic monoclonal antibodies that have significantly improved patient outcomes over the past 15 years. However, a large proportion of patients suffer from refractory or relapsed disease. Therefore, the development of new therapeutic strategies for this subgroup of patients, who are threatened by a high chance of disease-related death, represents an important unmet clinical need. Methods: We enrolled into our study 347 de novo DLBCL patients uniformly treated with R-CHOP from the BC Cancer population-based cohort between September 2000 and January 2012. RNAseq and high-resolution copy number analysis were performed and correlated with clinical outcome data and tumor microenvironment composition. We also performed functional studies to investigate PRAME-mediated memory T-cell responses and gene expression changes. Results: We discovered novel, highly focal deletions of 22q11.22, including the PRAME gene in 13% (44/338) of the cases. The deletions cluster in a narrow chromosomal region that includes a very small number of genes (VpreB1, ZNF280A/B, PRAME, GGTLC2, miR-650). Of clinical importance, 22q11.22 deletions were found significantly more frequently in germinal centre B-cell-like (GCB) type DLBCL (17% (31/180) vs. activated B-cell-like (ABC) type: 8% (8/98), P < 0.01), and were also significantly associated with worse outcome, which was specifically observed in GCB-DLBCL (5-year disease specific survival, non-PRAME-deleted: 84.5% vs. PRAME-deleted: 67.2%, P = 0.026). Homozygous deletions were more strongly associated with poor outcome than heterozygous deletions. Interestingly, 90% of PRAME-deleted cases were Ig-lambda restricted (P < 0.001). PRAME is a prominent member of the cancer testis antigen (CTA) family of proteins that are expressed in various types of cancers, but not in normal tissues, including normal mature B-cells, apart from male germinal cells. Due to the cancer-specific expression of CTAs, these molecules are considered promising targets for cancer immunotherapy using cytotoxic T-cells and tumor vaccination approaches. To determine the association with tumor microenvironment composition, we analyzed CD4/CD8 flow cytometry data from DLBCL patient samples. The numbers of CD4 and CD8-positive T cells were significantly lower in PRAME-deleted cases compared to wild type (CD4: P < 0.001, CD8: P = 0.013). Notably, RNAseq analysis revealed that the HLA-A*0201 genotype was seen significantly more often in PRAME deleted cases (PRAME wt: 2.5% vs. PRAME deleted: 10.8%, P = 0.005). In order to functionally characterize its interaction with the immune microenvironment, we utilized enzyme-linked immunoSpot (ELISPOT) assays to investigate memory T-cell reactions of patient-derived T cells to PRAME antigens using patient-derived peripheral blood mononuclear cells (PBMC) and measured IFN-g production (7 control healthy donors, 4 PRAME-deleted and 4-wild type patients). While T cells from PRAME-replete patients had no reaction to PRAME antigens, PRAME-deleted patient-derived T-cells had significant reactions to 4 independent PRAME peptides. These data suggest that PRAME-deleted tumor cells can escape from cytotoxic T-cell attack to gain growth advantage. Next, we performed PRAME knock-out (KO) experiments using CRISPR/Cas9 genome editing to clarify the cell autonomous effects of PRAME deletions. Using 2 different cell lines (Karpas422 and SUDHL-4), we found TNFSF10 (TRAIL) expression was significantly down-regulated in homozygous PRAME-KO cell lines compared to wild type. The soluble form of TRAIL (sTRAIL) was also reduced, as measured with enzyme-linked immunosorbent assays. These results suggest that PRAME downregulated cells may contribute to cell survival via TRAIL and sTRAIL reduction. Conclusion: We identified recurrent PRAME deletions and characterized their clinical and functional role in DLBCL. Our findings contribute to the understanding of cell-autonomous and extrinsic roles of PRAME deletions in lymphomagenesis and may lead to the discovery of new therapeutic avenues to simultaneously treat the tumor and the host. Disclosures Gascoyne: NanoString: Patents & Royalties: Named Inventor on a patent licensed to NanoString Technologies. Scott:Janssen: Research Funding; Roche: Research Funding; NanoString: Patents & Royalties: Named Inventor on a patent licensed to NanoString Technologies, Research Funding; Celgene: Consultancy, Honoraria. Steidl:Tioma: Research Funding; Seattle Genetics: Consultancy; Roche: Consultancy; Bristol-Myers Squibb: Research Funding; Juno Therapeutics: Consultancy; Nanostring: Patents & Royalties: patent holding.

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 head0.014
GPT teacher head0.265
Teacher spread0.251 · 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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Citations1
Published2018
Admission routes1
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