Expression of B and T Lymphocyte Attenuator (BTLA) Correlates with CNS Metastasis and Adverse Prognosis in Activated B-Cell Lymphoma and Acute Lymphoblastic Leukemia
Bibliographic record
Abstract
Abstract Background. The genetic factors that contribute to dissemination and relapse in aggressive lymphomas and acute lymphoblastic leukemia (ALL) are incompletely defined. We tested the hypothesis that shared molecular pathways contribute to drug resistance and metastasis in three distinct types of lymphoid neoplasms: large B-cell lymphoma, primary central nervous system lymphoma (PCNSL, DLBCL) and ALL. Methods. We used a variety of approaches involving high-resolution array-based comparative genomic hybridization, patient-derived cell lines, murine tumor models, diagnostic tumor specimens, and clinical outcome data sets to interrogate the biological significance of candidate mediators of relapse and CNS metastasis. Results. We first tested the hypothesis that genomic aberrations may contribute to the refractory phenotype in aggressive B-cell lymphoma. To pursue this, we compared DNA copy number aberrations in relapsed large B-cell lymphoma that had metastasized to the brain (3 cases, each isolated by resection) with the genomic changes identified in large B-cell lymphoma at diagnosis (15 cases: 12 PCNSL and 3 nodal lymphomas; all DLBCL). We identified a focal recurrent copy number gain at chromosome 3q encoding two candidate proteins: SIDT1, a mediator of microRNA transport, and BTLA, a member of the CD28 superfamily and modifier of both B-cell receptor signaling as well as T-cell responses. Elevated BTLA transcript and protein expression in relapsed specimens was confirmed. We also demonstrated by immunohistochemistry that tumor cell expression of BTLA but not SIDT1 correlated with short overall survival in an independent set of 40 patients with PCNSL treated uniformly with an immunochemotherapy protocol. Using independent databases of systemic DLBCL (n=203 and 69 respectively, Lenz et al. PNAS 2008; Shaknovich et al. Blood 2010), we determined that expression of both BTLA and SIDT1 were significantly higher in ABC compared to GCB DLBCL (p<0.0001) and, in an independent cohort of 73 ABC DLBCL cases, high BTLA expression was associated with a trend towards shorter overall survival (P=0.059). Finally, high BTLA transcript levels, but not SIDT1, correlated with significantly shorter overall survival in both ALL and Ph+ALL in ECOG E2993 (n=215, Geng el al. Cancer Discovery 2012), and with minimal residual disease in COG P9906 (n=207, Harney et al. Blood 2010). In addition, we used flow-cytometry to demonstrate that BTLA was strongly expressed by patient-derived cell lines of primary and secondary CNS lymphoma as well as Ph+ALL. In a murine model of spontaneous CNS metastasis involving patient-derived ABC DLBLC cells, we demonstrated that tumor cell clones that homed to the CNS meninges after flank implantation displayed higher BTLA expression compared to lymphoma cells that metastasized to spleen. Finally, we demonstrated that in a murine model of ALL, genetic deletion of BTLA was associated with impaired ALL cell proliferation and colony formation in vitro. By contrast, BTLA deficiency had no functional consequences in a murine model of CML. Conclusions. Taken together these data suggest for the first time that BTLA expression may contribute to metastasis and CNS progression of activated B-cell lymphoma and to resistance in ALL and Ph+ ALL. Our data suggest that BTLA may not only be a useful biomarker in these aggressive neoplasms, but also a potential therapeutic target. Additional studies are needed to deduce the mechanisms by which BTLA contributes to resistance and metastasis in ABC DLBCL and in ALL. Supported by the Leukemia and Lymphoma Society and the National Cancer Institute Disclosures Rubenstein: Celgene: Research Funding; Genentech: Research Funding.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".