Diffuse Large B-cell lymphoma: Prognostic markers and their impact on therapy

The association between NADPH oxidase (NOX) polymorphisms with immunohistochemistry and survival in diffuse large B cell lymphoma patients

The purpose of this study was to comprehensively analyze the prediction role of NADPH oxidase (NOX)-related polymorphisms (NCF4: rs1883112, CYBA: rs4673, RAC2: rs13058338) and immunohistochemical indices on survival in diffuse large B-cell lymphoma (DLBCL).The impact of NOX polymorphisms were evaluated in 335 DLBCL patients treated with R (rituximab)-CHOP (cyclophosphamide, doxorubicin, vincristine, and prednisone) from Harbin Medical University Cancer Hospital. We also collected information on their immunohistochemical expression and clinical outcomes.Among the patients treated with R-CHOP therapy, the patients with CyclinD1 (+) had significantly shorter progression-free survival (PFS) (p = 0.001) and event-free survival (EFS) (p < 0.001) than CyclinD1 (-) patients. Among patients received CHOP therapy, PFS was significantly longer in CD20 (+) patients (p = 0.011) than in CD20(-) patients. Among the patients treated with R-CHOP therapy, the PFS (p = 0.020) and EFS (p < 0.001) of patients with NCF4 rs1883112 AA/AG genotype were significantly longer than the patients with GG genotype. Patients treated with R-CHOP therapy and with RAC2 rs13058338 AA/AT genotype were more likely to have grade III or higher myelosuppression compared to patients with TT genotype (p = 0.027). Patients treated with CHOP therapy and with RAC2 rs13058338 AA/AT genotype were more likely to have grade III or higher systemic adverse events (p = 0.029). Cox regression analysis showed that NCF4 rs1883112 GG genotype and CyclinD1 (+) were the factors contributing to the poor outcomes in DLBCL patients treated with R-CHOP therapy.In conclusion, the results suggested that the NCF4 rs1883112 G allele may be a poor prognostic biomarker, especially for the DLBCL patients with CD3(-), CD5 (-), CD10 (-), Bcl-2 (+), Bcl-6 (+) or Ki-67(%) < 80%.

Prognostic and immunological characterization of diffuse large B-cell lymphoma evaluated by co-stimulatory molecular-related features

Background

Co-stimulatory molecules have been shown to enhance antitumor immune responses, but their role in Diffuse Large B-cell Lymphoma (DLBCL) remains unexplored.

Methods

This study aimed to explore the molecular typing of DLBCL with co-stimulatory molecule genes and to construct a prognostic profile to improve treatment decisions and clinical outcomes.

Results

We conducted the first comprehensive analysis of co-stimulatory molecules in DLBCL patients and identified five co-stimulatory molecule genes with prognostic and diagnostic values. Consensus cluster analysis based on these five co-stimulatory molecule genes revealed that the two identified clusters had different distribution patterns and prognostic differences. Co-stimulatory molecular correlation signatures were then constructed based on these five co-stimulatory molecular genes and validated in an external dataset, showing good performance in predicting patient prognosis. The signature is an independent risk factor for DLBCL patients and significantly correlates with clinical factors in patients and can be used as a complement to clinical factors. Furthermore, the signature was associated with the tumor immune microenvironment. Patients identified as being at high risk according to our signature exhibit high levels of immune cell infiltration microenvironment.

Conclusions

In conclusion, our signature can provide clinicians with prognostic predictions and help guide the treatment of patients with DLBCL.

Knockdown of the long non‑coding RNA CACNA1G‑AS1 enhances cytotoxicity and apoptosis of human diffuse large B cell lymphoma by regulating miR‑3160‑5p

Abstract: Long non-coding RNAs (lncRNAs) have been confirmed to be connected with tumor proliferation, apoptosis, metastasis and recurrence. Previous studies have indicated that lncRNA calcium voltage-gated channel subunit α1 G (CACNA1G)-antisense 1 (AS1) can function as a pro-oncogene in several types of cancer. However, the specific role and mechanism of CACNA1G-AS1 have not been fully elucidated in human diffuse large B cell lymphoma (DLBCL). In the present study, CACNA1G-AS1 expression was verified in DLBCL tissues and cells by reverse transcription-quantitative PCR, and the relationship between CACNA1G-AS1 and microRNA (miR)-3160-5p was confirmed using luciferase reporter assays. After CACNA1G-AS1-knockdown and miR-3160-5p-overexpression, MTT, colony formation and flow cytometry assays were conducted to assess the changes in the cytotoxicity and apoptosis of OCI-Ly10 and SUDHL-4 cells. In addition, in vivo experiments were performed to determine the impact of CACNA1G-AS1-knockdown on tumor growth and apoptosis. It was revealed that CACNA1G-AS1 was highly expressed in DLBCL tissues and cells and that expression of CACNA1G-AS1 was associated with the clinical stage of DLBCL. Functionally, CACNA1G-AS1-knockdown was demonstrated to increase cytotoxicity and expedite apoptosis in DLBCL cells in vitro and in vivo. In addition, CACNA1G-AS1 could downregulate miR-3160-5p by targeting binding in DLBCL cells. Overexpression of miR-3160-5p had the same effects on the cytotoxicity and apoptosis of DLBCL cells as CACNA1G-AS1-knockdown. Overall, the present study revealed that CACNA1G-AS1-knockdown and miR-3160-5p-overexpression could prevent DLBCL carcinogenesis, which might provide novel therapeutic targets for DLBCL.

Baseline Total Metabolic Tumor Volume is Prognostic for Refractoriness to Immunochemotherapy in DLBCL: Results From GOYA

INTRODUCTION

A good response to initial therapy is key to maximizing survival in patients with diffuse large B-cell lymphoma (DLBCL), but patients with chemorefractory disease and early progression have poor outcomes.

PATIENTS AND METHODS

Data from the GOYA study in patients with DLBCL who received first-line rituximab or obinutuzumab plus cyclophosphamide, doxorubicin, vincristine, and prednisone (CHOP) were analyzed. Positron emission tomography/computed tomography (PET/CT)-derived characteristics associated with total metabolic tumor volume (TMTV) and clinical risk factors for primary chemorefractory disease and disease progression within 12 months (POD12) were explored.

RESULTS

Of those patients fulfilling the criteria for analysis, 108/1126 (10%) were primary chemorefractory and 147/1106 (13%) had POD12. Primary chemorefractory and POD12 status were strongly associated with reduced overall survival. After multivariable analysis of clinical and imaging-based risk factors by backward elimination, only very high TMTV (quartile [Q] 1 vs. Q4 odds ratio [OR]: 0.45; P = .006) and serum albumin levels (low vs. normal OR of 1.86; P = .004) were associated with primary chemorefractoriness. After additionally accounting for BCL2/MYC translocation in a subset of patients, TMTV and BCL2/MYC double-hit status remained as significant predictors of primary chemorefractoriness (Q1 vs. Q4 OR: 0.32, P = .01 and double-hit vs. no-hit OR of 4.47, P = .02, respectively). Risk factors including very high TMTV, high sum of the product of the longest diameters (SPD), geographic region (Asia), short time since diagnosis, extranodal involvement and low serum albumin were retained for POD12.

CONCLUSION

PET-derived TMTV has prognostic value in identifying patients at risk of early treatment failure.

Circ_0003645 serves as miR-335-5p sponge to promote the biological process of diffuse large B-cell lymphoma by upregulating NFIB

BACKGROUND

Circular RNAs (circRNAs) are critical regulators for the development of many tumours, including diffuse large B-cell lymphoma (DLBCL). However, the role and mechanism of circ_0003645 in DLBCL progression remains obscure.

METHODS

Quantitative real-time PCR was performed to measure the expression of circ_0003645, microRNA (miR)-335-5p and nuclear factor I/B (NFIB). Cell viability, apoptosis and cell cycle were measured by cell counting kit 8 assay and flow cytometry. Protein expression was assessed using western blot analysis, and cell glycolysis was evaluated by detecting glucose consumption and ATP/ADP ratios. Besides, dual-luciferase reporter assay and RIP assay were used to confirm RNA interaction.

RESULTS

Our data showed that circ_0003645 expression was significantly upregulated in DLBCL tumour tissues. After circ_0003645 knockdown, the viability, cell cycle and glycolysis of DLBCL cells were inhibited, while cell apoptosis was promoted. MiR-335-5p could be sponged by circ_0003645, and NFIB was confirmed to be a downstream target of miR-335-5p. Function analysis revealed that anti-miR-335-5p reversed the regulation of si-circ_0003645 on DLBCL cell progression, and NFIB overexpression also abolished miR-335-5p-mediated the biological functions of DLBCL cells.

CONCLUSION

The present study revealed that circ_0003645 promoted the proliferation and glycolysis of DLBCL cells by the miR-335-5p/NFIB axis, which might provide a novel insight for DLBCL treatment.

Tracking the evolution of untreated high-intermediate/high-risk diffuse large B-cell lymphoma by circulating tumour DNA

Diffuse large B-cell lymphoma (DLBCL) is a highly heterogenous malignancy, early identification of patients for relapse remains challenging. The potential to non-invasively monitor tumour evolutionary dynamics of DLBCL needs to be further established. In the present study, 17 tumour biopsy and 38 plasma samples from 38 patients with high-intermediate/high-risk DLBCL were evaluated at baseline. Longitudinal blood samples were also collected during therapy. Circulating tumour DNA (ctDNA) was analysed using targeted sequencing based on a gene panel via a recently developed methodology, circulating single-molecule amplification and re-sequencing technology (cSMART). We found that the most frequently mutated genes were tumour protein p53 (TP53; 42·1%), histone-lysine N-methyltransferase 2D (KMT2D; 28·9%), caspase recruitment domain family member 11 (CARD11; 21·1%), cAMP response element-binding protein binding protein (CREBBP; 15·8%), β₂ -microglobulin (B2M; 15·8%), and tumour necrosis factor alpha-induced protein 3 (TNFAIP3; 15·8%). The mutation profiles between ctDNA and matched tumour tissue showed good concordance; however, more mutation sites were detected in ctDNA samples. Either TP53 or B2M mutations before treatment predicted poor prognosis. Analysis of dynamic blood samples confirmed the utility of ctDNA for the real-time assessment of treatment response and revealed that the increases in ctDNA levels and changes in KMT2D mutation status could be useful predictors of disease progression. Our present results suggest that ctDNA is a promising method for the detection of mutation spectrum and serves as a biomarker for disease monitoring and predicting clinical recurrence.

Serial surveillance by circulating tumor DNA profiling after chimeric antigen receptor T therapy for the guidance of r/r diffuse large B cell lymphoma precise treatment

Background: Circulating tumor DNA (ctDNA) released from tumor cells carries the tumor-associated genetic and epigenetic characteristics of cancer patients. Next-generation sequencing (NGS) facilitates the application of ctDNA profiling for identification and monitoring of minimal residual disease (MRD) in cancer, and can serve as the guidance for precise treatment.

Methods: In this study, we profiled genomic alterations in the baseline, relapsed, and progressive tumor samples of eight diffuse large B cell lymphoma (DLBCL) patients (NCT03118180) after chimeric antigen receptor T (CAR-T) cell therapy.

Results: The median follow-up was 41 months. 4 (50%) patients achieved complete remission (CR), 1 (12.5%) patient achieved partial remission (PR), and the other 3 (37.5%) patients showed no response. 3 of 5 patients who achieved remission relapsed within 4 months after CAR-T therapy, while the rest 2 patients remained CR for more than 3 years. Based on the positron emission tomography-computed tomography (PET-CT) scan, the current gold standard for evaluating response to therapy in lymphoma, the sensitivity and specificity of our ctDNA profiling in detecting tumor-related ctDNA mutations were 94.7% and 83.3%, respectively. The median numbers of baseline plasma ctDNA mutations in patients who remained long-term CR and patients who relapsed or became refractory to CAR-T therapy were 3 and 14.3, respectively. GNA13, SOCS1, TNFAIP3 and XPO1 mutations appeared to be associated with poor prognosis after CAR-T cell therapy. Our results also suggested that lenalidomide might relieve relapsed lymphoma with mutations in NFKBIA 202C>T (p.Q68*) and NFKBIE 433A>T (p.K145*) by targeting NF-Kappa B signaling. In addition, the inhibitor selinexor may be another choice for refractory or relapse (r/r) DLBCL patients after CAR-T cell treatment.

Conclusion: Serial ctDNA monitoring is an emerging technology for the surveillance of disease status and prognosis prediction. In this work, we demonstrated the use of serial ctDNA monitoring in r/r DLBCL patients after CD19-targeted CAR-T cell therapy. Our longitudinal NGS profiling revealed the changes of ctDNA mutation in accordance with prognosis, and shed some light on exploring more targeted treatment options together with CAR-T cell therapy.

Primary central nervous system lymphoma: status and advances in diagnosis, molecular pathogenesis, and treatment

Primary central nervous system lymphoma (PCNSL) is a rare group of extra-nodal non-Hodgkin lymphoma which is confined to the central nervous system or eyes. This article aims to present a brief profile of PCNSL diagnosis and treatment in immunocompetent patients. The authors retrieved information from the PubMed database up to September 2019. The annual incidence of PCNSL increased over the last four decades. The prognosis of PCNSL has improved mainly due to the introduction and wide-spread use of high-dose methotrexate, which is now the backbone of all first-line treatment polychemotherapy regimens. Gene expression profiling and next-generation sequencing analyses have revealed mutations that induce activation of nuclear factor-κB, B cell antigen receptor, and Janus kinases/signal transducer and activator of transcription proteins signal pathways. Some novel agents are investigated in the treatment of relapsed PCNSL including immunotherapy and targeted therapy. In particular, lenalidomide and ibrutinib have demonstrated durable efficiency. Treatment of PCNSL has evolved in the last 40 years and survival outcomes have improved in most patient groups, but there is still room to improve outcome by optimizing current chemotherapy and novel agents.

Transcriptome integration analysis and specific diagnosis model construction for Hodgkin's lymphoma, diffuse large B-cell lymphoma, and mantle cell lymphoma

Transcriptome differences between Hodgkin's lymphoma (HL), diffuse large B-cell lymphoma (DLBCL), and mantle cell lymphoma (MCL), which are all derived from B cell, remained unclear. This study aimed to construct lymphoma-specific diagnostic models by screening lymphoma marker genes. Transcriptome data of HL, DLBCL, and MCL were obtained from public databases. Lymphoma marker genes were screened by comparing cases and controls as well as the intergroup differences among lymphomas. A total of 9 HL marker genes, 7 DLBCL marker genes, and 4 MCL marker genes were screened in this study. Most HL marker genes were upregulated, whereas DLBCL and MCL marker genes were downregulated compared to controls. The optimal HL-specific diagnostic model contains one marker gene (MYH2) with an AUC of 0.901. The optimal DLBCL-specific diagnostic model contains 7 marker genes (LIPF, CCDC144B, PRO2964, PHF1, SFTPA2, NTS, and HP) with an AUC of 0.951. The optimal MCL-specific diagnostic model contains 3 marker genes (IGLV3-19, IGKV4-1, and PRB3) with an AUC of 0.843. The present study reveals the transcriptome data-based differences between HL, DLBCL, and MCL, when combined with other clinical markers, may help the clinical diagnosis and prognosis.

Identification of super enhancer-associated key genes for prognosis of germinal center B-cell type diffuse large B-cell lymphoma by integrated analysis

BACKGROUND

The pathogenesis of germinal center B-cell type diffuse large B-cell lymphoma (GCB-DLBCL) is not fully elucidated. This study aims to explore the regulation of super enhancers (SEs) on GCB-DLBCL by identifying specific SE-target gene.

METHODS

Weighted gene co-expression network analysis (WGCNA) was used to screen modules associated with GCB subtype. Functional analysis was performed by gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. H3K27ac peaks were used to identify SEs. Overall survival analysis was performed using Kaplan-Meier curve with log-rank and Breslow test. The effect of ADNP, ANKRD28 and RTN4IP1 knockdown on Karpas 422 and SUDHL-4 cells proliferation was analyzed by CCK-8. Karpas 422 and SUDHL-4 cells were treated with bromodomain and extra-terminal domain (BET) inhibitor JQ1, and the expression of ADNP, ANKRD28 and RTN4IP1was measured by qRT-PCR.

RESULTS

A total of 26 modules were screened in DLBCL. Turquoise module was closely related to GCB-DLBCL, and its eigengenes were mainly related to autophagy. There were 971 SEs in Karpas 422 cell and 1088 SEs in SUDHL-4 cell. Function of the nearest genes of overall SEs were related to cancer. Six SE-related genes associated with GCB-DLBCL were identified as prognostic markers. Knockdown of ADNP, ANKRD28 and RTN4IP1 inhibited the proliferation of Karpas 422 and SUDHL-4 cells. JQ1 treatment suppressed ADNP, ANKRD28 and RTN4IP1 expression in Karpas 422 and SUDHL-4 cells.

CONCLUSIONS

A total of 6 SE-related genes associated with GCB-DLBCL overall survival were identified in this study. These results will serve as a theoretical basis for further study of gene regulation and function of GCB-DLBCL.

Circulating long non-coding RNAs HOTAIR, Linc-p21, GAS5 and XIST expression profiles in diffuse large B-cell lymphoma: association with R-CHOP responsiveness

The reliable identification of diffuse large B-cell lymphoma (DLBCL)-specific targets owns huge implications for its diagnosis and treatment. Long non-coding RNAs (lncRNAs) are implicated in DLBCL pathogenesis; however, circulating DLBCL-related lncRNAs are barely investigated. We investigated plasma lncRNAs; HOTAIR, Linc-p21, GAS5 and XIST as biomarkers for DLBCL diagnosis and responsiveness to R-CHOP therapy. Eighty-four DLBCL patients and thirty-three healthy controls were included. Only plasma HOTAIR, XIST and GAS5 were differentially expressed in DLBCL patients compared to controls. Pretreatment plasma HOTAIR was higher, whereas GAS5 was lower in non-responders than responders to R-CHOP. Plasma GAS5 demonstrated superior diagnostic accuracy (AUC = 0.97) whereas a panel of HOTAIR + GAS5 superiorly discriminated responders from non-responders by ROC analysis. In multivariate analysis, HOTAIR was an independent predictor of non-response. Among patients, plasma HOTAIR, Linc-p21 and XIST were correlated. Plasma GAS5 negatively correlated with International Prognostic Index, whereas HOTAIR positively correlated with performance status, denoting their prognostic potential. We constructed the lncRNAs-related protein-protein interaction networks linked to drug response via bioinformatics analysis. In conclusion, we introduce plasma HOTAIR, GAS5 and XIST as potential non-invasive diagnostic tools for DLBCL, and pretreatment HOTAIR and GAS5 as candidates for evaluating therapy response, with HOTAIR as a predictor of R-CHOP failure. We provide novel surrogates for future predictive studies in personalized medicine.

Survival Disparities of Diffuse Large B-Cell Lymphoma in a Community-Based Inner-City Cancer Center

BACKGROUND

Diffuse large B-cell lymphoma (DLBCL) comprises approximately 30% of all non-Hodgkin lymphomas. Multiple studies have demonstrated race-based disparities in survival among patients with DLBCL across all stages of disease, in the era both before and after rituximab. The etiology for the racial disparities in survival among patients with DLBCL is still unknown. Moreover, the Revised International Prognostic Index (R-IPI), a tool that predicts the DLBCL patients' outcome, has not yet been validated in African Americans (AA).

PATIENTS AND METHODS

We conducted a cohort study of patients diagnosed with DLBCL from January 1, 2007, to December 31, 2017, from our tumor registry in a single community-based inner-city cancer center. We abstracted demographic, clinical, histopathologic, treatment, and R-IPI variables. A total of 181 patients (47.5%) with biopsy-proven DLBCL were included in the retrospective analysis. The median age was 65 years, 47% were men, 41% were AA, and 44% were white.

RESULTS

The AA group had a younger median age, higher lactate dehydrogenase levels, higher frequency of B symptoms, and higher HIV infection than the non-AA group. The AA group had significantly decreased median overall survival than the non-AA group (15.7 months; 95% confidence interval, 10.3 to 23.9, vs. 93.6 months; 95% confidence interval, 61.5 to 142.6, respectively; P < .001). The survival disparities persisted after excluding patients with HIV and who did not receive chemotherapy. In addition, AA race predicts a reduced survival by univariate and multivariate analysis.

CONCLUSION

AA with DLBCL may have a poorer prognosis than the non-AA population. Further studies should investigate the biology of DLBCL in the AA population.

OSdlbcl: An online consensus survival analysis web server based on gene expression profiles of diffuse large B-cell lymphoma

Diffuse large B‐cell lymphoma (DLBCL) is the most common subtype of non‐Hodgkin lymphoma (NHL) and is a clinical, pathological, and molecular heterogeneous disease with highly variable clinical outcomes. Currently, valid prognostic biomarkers in DLBCL are still lacking. To optimize targeted therapy and improve the prognosis of DLBCL, the performance of proposed biomarkers needs to be evaluated in multiple cohorts, and new biomarkers need to be investigated in large datasets. Here, we developed a consensus Online Survival analysis web server for Diffuse Large B‐Cell Lymphoma, abbreviated OSdlbcl, to assess the prognostic value of individual gene. To build OSdlbcl, we collected 1100 samples with gene expression profiles and clinical follow‐up information from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. In addition, DNA mutation data were also collected from the TCGA database. Overall survival (OS), progression‐free survival (PFS), disease‐specific survival (DSS), disease‐free interval (DFI), and progression‐free interval (PFI) are important endpoints to reflect the survival rate in OSdlbcl. Moreover, clinical features were integrated into OSdlbcl to allow data stratifications according to the user's special needs. By inputting an official gene symbol and selecting desired criteria, the survival analysis results can be graphically presented by the Kaplan‐Meier (KM) plot with hazard ratio (HR) and log‐rank p value. As a proof‐of‐concept demonstration, the prognostic value of 23 previously reported survival associated biomarkers, such as transcription factors FOXP1 and BCL2, was evaluated in OSdlbcl and found to be significantly associated with survival as reported (HR = 1.73, P < .01; HR = 1.47, P = .03, respectively). In conclusion, OSdlbcl is a new web server that integrates public gene expression, gene mutation data, and clinical follow‐up information to provide prognosis evaluations for biomarker development for DLBCL. The OSdlbcl web server is available at https://bioinfo.henu.edu.cn/DLBCL/DLBCLList.jsp.

Impact of comorbidities on outcomes of elderly patients with diffuse large B-cell lymphoma

International prognostic index (IPI) has remained the primary prognostic tool in diffuse large B cell lymphoma (DLBCL) for more than 20 years. Even though the disease is more common in older population, the impact of comorbidities, dose reductions, and treatment-related adverse events (TAEs) on the outcome in elderly DLBCL patients has not been well established. We studied 413 consecutive patients aged ≥ 60 years who were treated at the Cleveland Clinic. The median age at diagnosis was 69 years, 58% of patients had high IPI score, and 85% had low Charlson comorbidity index (CCI). Forty percent of patients required dose reductions during treatment, 78% achieved CR, and 70% experienced at least one grade II-IV TAE. High IPI score, high CCI, reduced dose chemotherapy, TAE, and hospitalization were significant predictors of death and relapse. In multivariable analysis, high IPI and CCI were independent predictors of overall and progression free survival. A simple model combining IPI and CCI could reliably distinguish three prognostically separate risk groups. Our results suggest that incorporation of CCI in current prognostic models can improve prognostication of older DLBCL patients and CCI might be a valuable tool in evaluating the eligibility of older patients for clinical trial enrollment.