Key Points: DLBCL can be detected in the blood by immunoglobulin high-throughput sequencing (Ig-HTS) with high specificity. Although DLBCL can be detected in leukocytes or plasma by Ig-HTS, plasma has greater sensitivity and more accurately reflects disease.

Key Points: Expansion of PD-1+ CD3−CD56hiCD16-ve NK cells and PD-L1+ monocytes/macrophages is more prominent in cHL than DLBCL. PD-1 blockade reverses the immune evasion mediated by the interaction of PD-1+ NK cells and PD-L1+ monocytes/macrophages.

Primary central nervous system lymphoma (PCNSL) is confined to the brain, eyes, and cerebrospinal fluid without evidence of systemic spread. Rarely, PCNSL occurs in the context of immunosuppression (eg, posttransplant lymphoproliferative disorders or HIV [AIDS-related PCNSL]). These cases are poorly characterized, have dismal outcome, and are typically Epstein-Barr virus (EBV)-associated (ie, tissue-positive). We used targeted sequencing and digital multiplex gene expression to compare the genetic landscape and tumor microenvironment (TME) of 91 PCNSL tissues all with diffuse large B-cell lymphoma histology. Forty-seven were EBV tissue-negative: 45 EBV− HIV− PCNSL and 2 EBV− HIV+ PCNSL; and 44 were EBV tissue-positive: 23 EBV+ HIV+ PCNSL and 21 EBV+ HIV− PCNSL. As with prior studies, EBV− HIV− PCNSL had frequent MYD88, CD79B, and PIM1 mutations, and enrichment for the activated B-cell (ABC) cell-of-origin subtype. In contrast, these mutations were absent in all EBV tissue-positive cases and ABC frequency was low. Furthermore, copy number loss in HLA class I/II and antigen-presenting/processing genes were rarely observed, indicating retained antigen presentation. To counter this, EBV+ HIV− PCNSL had a tolerogenic TME with elevated macrophage and immune-checkpoint gene expression, whereas AIDS-related PCNSL had low CD4 gene counts. EBV-associated PCNSL in the immunosuppressed is immunobiologically distinct from EBV− HIV− PCNSL, and, despite expressing an immunogenic virus, retains the ability to present EBV antigens. Results provide a framework for targeted treatment.

Purpose: Although microRNAs (miRNA) show potential as diagnostic biomarkers in cancer, their role as circulating cell-free disease response biomarkers remains unknown. Candidate circulating miRNA biomarkers for classical Hodgkin lymphoma (cHL) might arise from Hodgkin–Reed–Sternberg (HRS) cells and/or nonmalignant tumor-infiltrating cells. HRS cells are sparse within the diseased node, embedded within a benign microenvironment, the composition of which is distinct from that seen in healthy lymph nodes. Experimental Design: Microarray profiling of more than 1,000 human miRNAs in 14 cHL primary tissues and eight healthy lymph nodes revealed a number of new disease node–associated miRNAs, including miR-494 and miR-1973. Using quantitative real-time PCR (qRT-PCR), we tested the utility of these, as well as previously identified disease node–associated plasma miRNAs (including miR-21 and miR-155), as disease response biomarkers in a prospective cohort of 42 patients with cHL. Blood samples were taken in conjunction with radiologic imaging at fixed time points before, during, and after therapy. Absolute quantification was used so as to facilitate implementation in diagnostic laboratories. Results: Levels of miR-494, miR-1973, and miR-21 were higher in patients than control (n = 20) plasma (P = 0.004, P = 0.007, and P < 0.0001, respectively). MiR-494 and miR-21 associated with Hasenclever scores ≥3. Strikingly, all three miRNAs returned to normal at remission (P = 0.0006, P = 0.0002, and P < 0.0001 respectively). However, only miR-494 and miR-1973 reflected interim therapy response with reduction being more pronounced in patients achieving complete versus partial responses (P = 0.043 and P = 0.0012, respectively). Conclusion: Our results demonstrate that in patients with cHL, circulating cell-free miRNAs can reflect disease response once therapy has commenced. Clin Cancer Res; 20(1); 253–64. ©2013 AACR.

PURPOSE: Understanding the immunobiology of the 15% to 30% of patients with follicular lymphoma (FL) who experience progression of disease within 24 months (POD24) remains a priority. Solid tumors with low levels of intratumoral immune infiltration have inferior outcomes. It is unknown whether a similar relationship exists between POD24 in FL. PATIENTS AND METHODS: Digital gene expression using a custom code set—five immune effector, six immune checkpoint, one macrophage molecules—was applied to a discovery cohort of patients with early- and advanced-stage FL (n = 132). T-cell receptor repertoire analysis, flow cytometry, multispectral immunofluorescence, and next-generation sequencing were performed. The immune infiltration profile was validated in two independent cohorts of patients with advanced-stage FL requiring systemic treatment (n = 138, rituximab plus cyclophosphamide, vincristine, prednisone; n = 45, rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone), with the latter selected to permit comparison of patients experiencing a POD24 event with those having no progression at 5 years or more. RESULTS: Immune molecules showed distinct clustering, characterized by either high or low expression regardless of categorization as an immune effector, immune checkpoint, or macrophage molecule. Low programmed death-ligand 2 (PD-L2) was the most sensitive/specific marker to segregate patients with adverse outcomes; therefore, PD-L2 expression was chosen to distinguish immune infiltration^HI (ie, high PD-L2) FL biopsies from immune infiltration^LO (ie, low PD-L2) tumors. Immune infiltration^HI tissues were highly infiltrated with macrophages and expanded populations of T-cell clones. Of note, the immune infiltration^LO subset of patients with FL was enriched for POD24 events (odds ratio [OR], 4.32; c-statistic, 0.81; P = .001), validated in the independent cohorts (rituximab plus cyclophosphamide, vincristine, prednisone: OR, 2.95; c-statistic, 0.75; P = .011; and rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone: OR, 7.09; c-statistic, 0.88; P = .011). Mutations were equally proportioned across tissues, which indicated that degree of immune infiltration is capturing aspects of FL biology distinct from its mutational profile. CONCLUSION: Assessment of immune-infiltration by PD-L2 expression is a promising tool with which to help identify patients who are at risk for POD24.

Despite the Revised International Prognostic Index's (R‐IPI) undoubted utility in diffuse large B‐cell lymphoma (DLBCL), significant clinical heterogeneity within R‐IPI categories persists. Emerging evidence indicates that circulating host immunity is a robust and R‐IPI independent prognosticator, most likely reflecting the immune status of the intratumoral microenvironment. We hypothesized that direct quantification of immunity within lymphomatous tissue would better permit stratification within R‐IPI categories. We analyzed 122 newly diagnosed consecutive DLBCL patients treated with rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R‐CHOP) chemo‐immunotherapy. Median follow‐up was 4 years. As expected, the R‐IPI was a significant predictor of outcome with 5‐year overall survival (OS) 87% for very good, 87% for good, and 51% for poor‐risk R‐IPI scores (P < 0.001). Consistent with previous reports, systemic immunity also predicted outcome (86% OS for high lymphocyte to monocyte ratio [LMR], versus 63% with low LMR, P = 0.01). Multivariate analysis confirmed LMR as independently prognostic. Flow cytometry on fresh diagnostic lymphoma tissue, identified CD4⁺ T‐cell infiltration as the most significant predictor of outcome with ≥23% infiltration dividing the cohort into high and low risk groups with regard to event‐free survival (EFS, P = 0.007) and OS (P = 0.003). EFS and OS were independent of the R‐IPI and LMR. Importantly, within very good/good R‐IPI patients, CD4⁺ T‐cells still distinguished patients with different 5 year OS (high 96% versus low 63%, P = 0.02). These results illustrate the importance of circulating and local intratumoral immunity in DLBCL treated with R‐CHOP. Am. J. Hematol. 88:273–276, 2013.