原发性乳腺弥漫性大B细胞淋巴瘤5例并文献复习

目的探讨原发性乳腺弥漫性大B细胞淋巴瘤(primary breast diffuse large B-cell lymphoma,PB-DLBCL)的临床病理学特点、诊断及鉴别诊断、治疗及预后。方法采用HE染色和免疫组织化学SP法分析5例PB-DLBCL患者的临床表现、病理学及免疫表型特征,并复习相关文献。结果 5例均为女性患者,发病年龄48~70岁,中位年龄59.2岁,均为单侧乳腺肿块,其中左乳3例,右乳2例。镜下见乳腺正常结构被破坏,成片的中等偏大的肿瘤细胞弥漫浸润乳腺小叶、导管周围、间质及周围脂肪组织。根据免疫组织化学表型,4例为非生发中心型,1例为生发中心型;Ki67增殖指数为60%~90%;根据 Ann Arbor 分期标准,5例均为II E期。病例随访时间截止至2018年6月,随访期内,有2例复发,分别于7和19个月后死亡;2例健在,分别已存活12和72个月;另外一例失访。结论 PB-DLBCL是一种少见的恶性淋巴瘤,临床表现为单侧乳腺无痛性包块进行性增大,以右侧多见。确诊主要依靠病理活检及免疫表型,免疫表型以非生发中心为主,以化疗联合放疗等综合治疗方案为宜。     

Prognostic impact of C-REL expression in diffuse large B-cell lymphoma

Diffuse large B-cell lymphoma (DLBCL) with a germinal center B-cell (GCB) phenotype is believed to confer a better prognosis than DLBCL with an activated B-cell (ABC) phenotype. Previous studies have suggested that nuclear factor-κB (NF-κB) activation plays an important role in the ABC subtype of DLBCL, whereas c-REL amplification is associated with the GCB subtype. Using immunohistochemical techniques, we examined 68 newly diagnosed de novo DLBCL cases (median follow-up 44 months, range 1 to 142 months) for the expression of c-REL, BCL-6, CD10, and MUM1/IRF4. Forty-four (65%) cases demonstrated positive c-REL nuclear expression. In this cohort of patients, the GCB phenotype was associated with a better overall survival (OS) than the non-GCB phenotype (Kaplan–Meier survival (KMS) analysis, p = 0.016, Breslow–Gehan–Wilcoxon test). In general, c-REL nuclear expression did not correlate with GCB vs. non-GCB phenotype, International Prognostic Index score, or OS. However, cases with a GCB phenotype and negative nuclear c-REL demonstrated better OS than cases with a GCB phenotype and positive nuclear c-REL (KMS analysis, p = 0.045, Breslow–Gehan–Wilcoxon test), whereas in cases with non-GCB phenotype, the expression of c-REL did not significantly impact the prognosis. These results suggest that c-REL nuclear expression may be a prognostic factor in DLBCL and it may improve patient risk stratification in combination with GCB/non-GCB phenotyping.     

Identification of a prognostic metabolic gene signature in diffuse large B-cell lymphoma

Diffuse large B-cell lymphoma (DLBCL) is a clinically diverse disease. Given the numerous genetic mutations and variations associated with it, a prognostic gene signature that can be related to the overall survival (OS) is a clinical implication. We used the mRNA expression profiles and clinicopathological data of patients with DLBCL from the Gene Expression Omnibus (GEO) database to identify a metabolism-related gene signature. Using LASSO regression analysis, a novel 13-metabolic gene signature was identified to evaluate prognosis. The information gathered was used to construct the nomogram model to improve risk stratification and quantify risk factors for individual patients. We performed gene set enrichment analysis to identify the enriched signalling axes to further understand the underlying biological pathways. The receiver operating characteristic (ROC) curve revealed a satisfactory performance in the training cohorts. The model also showed clinical benefit when compared to the standard prognostic factors (P < .05) in validation cohorts. This study aimed to combine metabolic dysregulation with clinical features of patients with DLBCL to generate a prognostic model that might not only indicate the value of the metabolic microenvironment for prognostic stratification but also improve the decision-making during individual therapy.     

Survival and consolidative radiotherapy in patients living with HIV and treated for diffuse large B-cell lymphoma

ObjectivesCurrent guidelines tend to treat HIV positive (HIV+) patients as their seronegative counterparts with diffuse large B-cell lymphoma (DLBCL) but little is known about their radiotherapy responses differences.Patients and MethodsA retrospective cohort of all consecutive HIV+ DBCL patients treated with chemotherapy between 2004 and 2018 was assessed. All patients had biopsy-proven lymphomas. They were included if the proposed radical treatment was done without progression or death during chemotherapy and had at least 6 months of follow-up or were followed until death.ResultsFifty-three (53) patients were selected, with a median age at diagnosis of 41.39 years (20–65 years). Median follow-up of 35.16 months (1.4–178.7 months). Male patients accounted for 54.7% and most had a good performance in the ECOG scale at diagnoses (81.1% are ECOG 0−1). Median overall survival was not reached. Mean OS was 41.5 months with 16 deaths. Age had an impact on OS, with patients older than 60 years at more risk (p = 0.044), as did longtime use of HAART, with those that started antiretroviral therapy within the diagnose of the lymphoma at greatest risk (p = 0.044). RT did not have an impact on OS (p = 0.384) or PFS (p = 0.420), although survival curves show better OS in the radiotherapy group. Toxicities were rare, since none of the patients had grade 3 or superior toxicity.ConclusionRT did not impact survival or progression in our limited sample, but a longer OS may occur after the first-year post RT. RT should be tested in prospective data in the HIV+ population with DLBCL.     

CUL4B regulates autophagy via JNK signaling in diffuse large B-cell lymphoma

Aberrant expression of CUL4B was identified in various types of solid cancers. Cumulative evidences support the oncogenic role of CUL4B in cancers, including regulation of cell proliferation and signal transduction. However, its clinical value and potential pathogenic mechanism in diffuse large B-cell lymphoma (DLBCL) have not been described previously. Therefore, we hypothesize that overexpressed CUL4B may contribute to the pathogenesis of DLBCL. The aim of this study is to assess the expression and the biological function of CUL4B in DLBCL progression. In our study, CUL4B overexpression was observed in DLBCL tissues, and its upregulation was closely associated with poor prognosis in patients. Furthermore, the functional roles of CUL4B was detected both in vitro and in vivo. We demonstrated that silencing CUL4B could not only induce cell proliferation inhibition, cell cycle arrest, and motility attenuation of DLBCL cells in vitro, but also decrease tumor growth in DLBCL xenografts mice. In addition, we identi?ed that CUL4B may act as a potent inductor of JNK phosphorylation in regulation of autophagy. Our findings demonstrated a significant role of CUL4B in the development and progression of DLBCL. CUL4B may act as a useful biomarker and a novel therapeutic target in DLBCL.     

Expression of microRNAs in diffuse large B cell lymphoma is associated with immunophenotype, survival and transformation from follicular lymphoma

MicroRNAs are naturally occurring small RNA species that regulate gene expression and are frequently abnormally expressed in cancers. However, the role of microRNAs in lymphoma is poorly understood. Therefore, we undertook a comprehensive study of microRNA expression in two of the most common lymphomas: diffuse large B-cell lymphoma (DLBCL) ( n = 80) and follicular lymphoma (FCL) ( n = 18) using microarrays containing probes for 464 human microRNAs. Unsupervised cluster analysis revealed distinct expression patterns between these two lymphomas and specific microRNA signatures (including members of the miR-17–92 cluster) were derived that correctly predicted lymphoma type in >95% of cases. Furthermore, we identified microRNAs in de novo DLBCL ( n = 64) associated with germinal centre-like and non-germinal centre-like immunophenotypes, international prognostic index status and event-free survival in CHOP and rituximab (R)-CHOP treated patients. Despite the indolent nature of FCL a significant proportion of cases undergo high-grade transformation to more aggressive DLBCL. In order to see if transformation is associated with changes in microRNA expression we compared transformed DLBCL cases ( n = 16) with de novo DLBCL, as well as FCL cases that underwent subsequent transformation ( n = 7) with FCL cases that had not transformed at a median follow-up of 60 months ( n = 11). Differential expression of 12 microRNAs correctly predicted >85% of transformed versus de novo DLBCL cases; six microRNAs ( miR-223, 217, 222 , 221 and let-7i and 7b) were found which could similarly predict or transformation in FCL ( P < 0.05). These data suggest that microRNAs have potential as diagnostic and prognostic markers in these lymphomas and may be used to identify FCL patients at risk of high-grade transformation.     

Immunofluorescent labeling of CD20 tumor marker with quantum dots for rapid and quantitative detection of diffuse large B-cell non-Hodgkin's lymphoma

Fluorescent semiconductor quantum dots (QDs) are newfound nanocrystal probes which have been used in bioimaging filed in recent years. The purpose of this study is to evaluate the diagnostic value of specific QDs coupled to rituximab monoclonal antibody against CD20 tumor markers for patients with diffuse large B-cell lymphoma (DLBCL). In current study rituximab-conjugated quantum dots (QDs-rituximab) were prepared against CD20 tumor markers for detection of CD20-positive cells (human Raji cell line) using flowcytometry. A total of 27 tumor tissue samples were collected from patients with DLBCL and 27 subjects with negative pathological tests as healthy ones, which stained by QD-rituximab. The detection signals were obtained from QDs using fluorescence microscopy. The flowcytometry results demonstrated a remarkable difference in fluorescent intensity and FL2-H + (CD20-positive cells percentage) between two groups. Both factors were significantly higher in Raji in comparison with K562 cell line (P < 0.05). Lot of green fluorescence signals was observed due to the selectively binding of QD-rituximab to CD20 tumor markers which overexpressed in tumor tissues and a few signals observed on the defined healthy ones. Based on these observations the cut-off point was 46.8 dots and the sensitivity, specificity, positive predictive value, and negative predictive value were 100%, 89.5%, 91.3%, and 100%, respectively (LR+, 9.52; LR−, 0). The QD - rituximab could be beneficial as a bioimaging tool with high sensitivity to provide an accurate molecular imaging technique for identifying CD20 tumor markers for early diagnosis of the patients with DLBCL.     

Fatal primary diffuse large B‐cell lymphoma of the maxillary sinus initially treated as an infectious disease in an elderly patient: A clinicopathologic report

Objective

To report a case of primary diffuse large B‐cell lymphoma (DLBCL) of the maxillary sinus in an 82‐year‐old Caucasian woman.

Background

Diffuse large B‐cell lymphoma of the maxillary sinus has non‐specific signs and symptoms that may be confused with benign inflammatory conditions and upper respiratory infections.

Methods

An incisional biopsy was performed. CD20⁺/CD3^–/Ki‐67: 95% cells were observed.

Conclusion

A good medical history, clinical and imaging evaluations and immunohistochemical reactions are crucial to establish a correct and early diagnosis of DLBCL.     

Long non-coding RNA as a novel biomarker and therapeutic target in aggressive B-cell non-Hodgkin lymphoma: A systematic review

Cancer initiation and progression have been associated with dysregulated long non-coding RNA (lncRNA) expression. However, the lncRNA expression profile in aggressive B-cell non-Hodgkin lymphoma (NHL) has not been comprehensively characterized. This systematic review aims to evaluate the role of lncRNAs as a biomarker to investigate their future potential in the diagnosis, real-time measurement of response to therapy and prognosis in aggressive B-cell NHL. We searched PubMed, Web of Science, Embase and Scopus databases using the keywords “long non-coding RNA”, “Diffuse large B-cell lymphoma”, “Burkitt's lymphoma” and “Mantle cell lymphoma”. We included studies on human subjects that measured the level of lncRNAs in samples from patients with aggressive B-cell NHL. We screened 608 papers, and 51 papers were included. The most studied aggressive B-cell NHL was diffuse large B-cell lymphoma (DLBCL). At least 79 lncRNAs were involved in the pathogenesis of aggressive B-cell NHL. Targeting lncRNAs could affect cell proliferation, viability, apoptosis, migration and invasion in aggressive B-cell NHL cell lines. Dysregulation of lncRNAs had prognostic (e.g. overall survival) and diagnostic values in patients with DLBCL, Burkitt's lymphoma (BL), or mantle cell lymphoma (MCL). Furthermore, dysregulation of lncRNAs was associated with response to treatments, such as CHOP-like chemotherapy regimens, in these patients. LncRNAs could be promising biomarkers for the diagnosis, prognosis and response to therapy in patients with aggressive B-cell NHL. Additionally, lncRNAs could be potential therapeutic targets for patients with aggressive B-cell NHL like DLBCL, MCL or BL.     

A cytomorphological and immunohistochemical profile of aggressive B-cell lymphoma: high clinical impact of a cumulative immunohistochemical outcome predictor score

We analyzed morphological and immunohistochemical features in 174 aggressive B-cell lymphomas of nodal and extranodal origin. Morphological features included presence or absence of a follicular component and cytologic criteria according to the Kiel classification, whereas immunohistochemical studies included expression of CD10, BCL-2, BCL-6, IRF4/MUM1, HLA-DR, p53, Ki-67 and the assessment of plasmacytoid differentiation. Patients were treated with a CHOP-like regimen. While the presence or absence of either CD10, BCL-6 and IRF4/MUM1 reactivity or plasmacytoid differentiation did not identify particular cytomorphologic or site-specific subtypes, we found that expression of CD10 and BCL-6, and a low reactivity for IRF4/MUM1 were favourable prognostic indicators. In contrast, BCL-2 expression and presence of a monotypic cytoplasmic immunoglobulin expression was associated with an unfavourable prognosis in univariate analyses. Meta-analysis of these data resulted in the development of a cumulative immunohistochemical outcome predictor score (CIOPS) enabling the recognition of four distinct prognostic groups. Multivariate analysis proved this score to be independent of the international prognostic index. Such a cumulative immunohistochemical scoring approach might provide a valuable alternative in the recognition of defined risk types of aggressive B-cell lymphomas.     

HIV-1 Tat mimetic of VEGF correlates with increased microvessels density in AIDS-related diffuse large B-cell and Burkitt lymphomas

Angiogenic switch marks the beginning of tumor’s strategy to acquire independent blood supply. In some subtypes of non-Hodgkin’s lymphomas, higher local vascular endothelial growth factor (VEGF) expression correlates with increased microvessel density. However, this local VEGF expression is higher only in tumors with elevated expression of the receptors of the growth factor, suggesting an autocrine growth-promoting feedback loop. Several studies have indicated that VEGF receptors are also targeted by Tat protein from the HIV-1-infected cells. Given the similarity of the basic region of Tat to the angiogenic factors (basic fibroblast growth factor, VEGF), Tat mimics these proteins and binds to their receptors. We evaluated the role of HIV-1 Tat in regulating the level of VEGF expression and microvessel density in the AIDS-related diffuse large B-cell (DLBCL) and Burkitt lymphomas (BL). By luciferase assay, we showed that VEGF promoter activity was downregulated in vitro in cells transfected with Tat. Reduced VEGF protein expression in primary HIV-1 positive BL and DLBCL, compared to the negative cases, supported the findings of promoter downregulation from the cell lines. Microvascular density assessed by CD34 expression was, however, higher in HIV-1 positive than in HIV-1 negative tumors. These results suggest that Tat has a wider angiogenic role, besides the regulation of VEGF expression. Thus, targeting Tat protein itself and stabilizing transient silencing of VEGF expression or use of monoclonal antibodies against their receptors in the AIDS-associated tumors will open a window for future explorable pathways in the management of angiogenic phenotypes in the AIDS-associated non-Hodgkin’s lymphomas.     

Immunological microenvironment gene expression in patients with diffuse large B cell non Hodgkin lymphoma

BackgroundNon Hodgkin lymphoma (NHL) is one of the immune system cancers. The occurrence and progression of malignant lymphomas depends on cellular pathways deregulation. Understanding the relationship between the immune system at the genetic level and malignant transformation is critical to reach its etiology.ObjectiveThe aim of this work is to evaluate the expression of five immune related genes (PD-1, FOXP3, GrA, GrB and CD11c) in patients with diffuse large B cell non Hodgkin lymphoma (DLBCL).Materials and methodsThis study was conducted on fifty patients with DLBCL and fifty sex and age matched apparently healthy subjects. The participants were subjected to these laboratory investigations: complete blood count, serum lactate dehydrogenase and β2microglobulin (β₂M) levels and determination of PD-1, FOXP3, GrA, GrB and CD11c gene expressions.ResultsThe results of this study revealed that PD-1, FOXP3, GrA, GrB and CD11c gene expressions were significantly increased in DLBCL patients.ConclusionPatients with DLBCL have variablePD-1, FOXP3,GrA, GrB and CD11cgene expressions levels, which are correlated with the overall survival (OS) indicating that they can be good predictors of outcome in these patients.     

Disparities in the long-term survival of adolescent and young adult diffuse large B cell lymphoma survivors

PurposeThe population of adolescent and young adult (AYA, ages 15–39 years) diffuse large B-cell lymphoma (DLBCL) survivors is growing, however long-term overall survival patterns and disparities are largely unknown.MethodsThe current study utilized the Surveillance, Epidemiology, and End Results (SEER) registry to assess the impact of race/ethnicity, sex, socioeconomic status, and rurality on long-term survival in 5-year DLBCL survivors using an accelerated failure time model.ResultsIncluded were 4767 5-year survivors of AYA DLBCL diagnosed between the years 1980 and 2009 with a median follow-up time of 13.4 years. Non-Hispanic Black survivors had significantly worse long-term survival than non-Hispanic White survivors (Survival Time Ratio (STR): 0.53, p < 0.0001). Male sex (STR: 0.57, p < 0.0001) and older age at diagnosis were also associated with reduced long-term survival. There was no evidence that survival disparities improved over time.ConclusionsRacial disparities persist well into survivorship among AYA DLBCL survivors. Studies investigating specific factors associated with survival disparities are urgently needed to better address these disparities.     

Molecular heterogeneity in diffuse large B-cell lymphoma and its implications in clinical diagnosis and treatment

Over half of patients with diffuse large B-cell lymphoma (DLBCL) can be cured by standard R-CHOP treatment (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone). However, the remaining patients are refractory and ultimately succumb to progressive or relapsed disease. During the past decade, there has been significant progress in the understanding of molecular mechanisms in DLBCL, largely owing to collaborative efforts in large-scale gene expression profiling and deep sequencing, which have identified genetic alterations critical in lymphomagenesis through activation of key signaling transduction pathways in DLBCL. These discoveries have not only led to the development of targeted therapies, including several currently in clinical trials, but also laid a solid foundation for the future identification of more effective therapies for patients not curable by R-CHOP. This review summarizes the recent advances in our understanding of the molecular characterization and pathogenesis of DLBCL and new treatment directions.     

Genetic association of interleukin-10 promoter polymorphisms and susceptibility to diffuse large B-cell lymphoma: A meta-analysis

Published data on the association between interleukin-10 (IL-10) gene polymorphisms and diffuse large B-cell lymphoma (DLBCL) risk are inconclusive. To derive a more precise estimation of the relationship, a meta-analysis was performed, focusing on four major IL-10 gene variants in the promoter region: –3575T/A, –1082A/G, –819C/T and –592C/A. We applied the false discovery rate (FDR) method to adjust for multiple testing. A significant association between IL-10 –3575T/A polymorphism and the risk of DLBCL was observed in the pooled 10 case–control studies (A vs. T: OR = 1.16, 95% CI = 1.08–1.25, P < 0.0001; AA + TA vs. TT: OR = 1.20, 95% CI = 1.08–1.33, P = 0.0009; AA vs. TA + TT: OR = 1.25, 95% CI = 1.09–1.44, P = 0.001). The results indicated that carriers of –1082G allele (–1082GG/GA genotypes) had a nearly 30% increased risk of DLBCL, as compared with carriers of –1082AA genotype (GG + GA vs. AA: OR = 1.30, 95% CI = 1.08–1.57, P = 0.005). When P-values were not adjusted for multiple testing, the risk was significantly decreased among people with –592AA genotype (AA vs. AC + CC: OR = 0.63, 95% CI = 0.43–0.94, P = 0.02), while carriers with –819TT genotype also modestly weakened the DLBCL susceptibility at a marginal level of significance (TT vs. CT + CC: OR = 0.59, 95% CI = 0.35–0.99, P = 0.05). However, these associations were not significant after correction for multiple testing. This meta-analysis suggests that IL-10 –3575A allele confers a greater risk to DLBCL susceptibility, while –1082A/G polymorphism also has significant association with DLBCL risk. These results may help to further clarify the malignancy-risk gene signature of DLBCL, and thus have prognostic and predictive value especially for early-stage DLBCL.     

CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell Lymphoma

Biomarkers which can identify Diffuse Large B-Cell Lymphoma (DLBCL) likely to be refractory to first-line therapy are essential for selecting this population prior to therapy initiation to offer alternate therapeutic options that can improve prognosis. We tested the ability of a CT-based radiomics approach with machine learning to predict Primary Treatment Failure (PTF)-DLBCL from initial imaging evaluation. Twenty-six refractory patients were matched to 26 non-refractory patients, yielding 180 lymph nodes for analysis. Manual 3D delineation of the total node volume was performed by two independent readers to test the reproducibility. Then, 1218 hand-crafted radiomic features were extracted. The Random Forests machine learning approach was used as a classifier for constructing the prediction models. Seventy percent of the nodes were randomly assigned to a training set and the remaining 30% were assigned to an independent test set. The final model was tested on the dataset from the 2 readers, showing a mean accuracy, sensitivity and specificity of 73%, 62% and 82%, respectively, for distinguishing between refractory and non-refractory patients. The area under the receiver operating characteristic curve (AUC) was 0.83 and 0.79 for the two readers. We conclude that machine learning CT-based radiomics analysis is able to identify a priori PTF-DLBCL with a good accuracy.