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Epstein-Barr virus (EBV) infection is proved to be associated with clinicopathology of lymphoma. However, little is known about the relationship between EBV-DNA status after treatment and prognosis. In this study, real-time polymerase chain reaction (PCR) was used for quantitative detection of EBV-DNA load in peripheral blood of all 26,527 patients with lymphoma, and the clinical characteristics and prognosis of 202 patients were retrospectively analysed, including 100 patients with positive EBV-DNA and 102 randomly selected patients with negative EBV-DNA. We found that the average rate of EBV-DNA positivity in lymphomas was 0.376%, and EBV-DNA-positive patients presented higher risk with elevated lactate dehydrogenase (LDH) and β2-MG level, B symptoms, secondary hemophagocytic syndrome and lower objective response rate compared to EBV-DNA-negative patients. Multivariate analysis revealed EBV-DNA-positive patients had inferior progression-free survival (PFS) and overall survival (OS) and EBV-DNA level before treatment was related to PFS but not OS of T/NK cell lymphoma. In T/NK cell lymphoma, EBV-DNA converting negative after treatment was correlated with better PFS but not OS, and second-line therapy could induce more EBV-DNA-negative conversion compared to CHOP-based therapy. In all, EBV-DNA positivity before treatment can be a biomarker representing the tumour burden and an independent prognostic factor. EBV-DNA-negative conversion after treatment is a good prognostic factor for T/NK cell lymphomas.

Progression of disease within 24 months (POD24) is strongly associated with a poor outcome in patients with follicular lymphoma (FL). Our study aimed to identify the potential risk factors for POD24 in patients with FL. Medline, EMBASE and the Cochrane Library were systematically searched from the earliest record to September 2020. Studies investigating the prognostic factors for POD24 in patients with newly diagnosed grade 1-3a FL were included. Among 10,014 pieces of literature, a total of 90 studies investigating 82 risk factors were included for qualitative analysis. Meta-analyses were performed in 31 studies with 11 factors. Results showed that elevated sIL-2R, β2m and LDH, total metabolic tumour volume 510 cm

TP53 mutations correlate with inferior survival in many cancers. APR-246 is a compound to shift mutant p53 and exhibits anti-cancer effects. Among its effects, APR-246 facilitates the binding of restored p53 mutants to target genes and their transcription. A set of 2464 DLBCL cases from multiple cohorts including our center, was integrated to identify the type and localization of TP53 mutations and clinical impacts. APR-246 was applied in TP53-mutated DLBCL cells and xenograft mouse models to explore the anti-tumor effect. TP53 mutations frequency was 16% and TP53 mutations correlated with poor overall survival (OS) and progression-free survival (PFS) in all cases, especially in germinal center B-cell-like (GCB) and unclassified (UNC) subtypes. Notably, TP53 single mutations in the DNA binding domain (DBD) led to poor OS and PFS. Specifically, mutations in exon 7 correlated with poorer OS, while mutations in exons 5 and 6 associated with inferior PFS. APR-246 induces p53-dependent ferritinophagy of DLBCL cells with TP53 missense mutation on exon 7 and ferroptosis of DLBCL cells harboring wild-type TP53 and other TP53 mutations. TP53 mutations on exons 5, 6 and 7 are predictors of progression and survival. Targeting mutant p53 by APR-246 is a promising therapeutic approach for DLBCL patients.

Objective. Concurrent follicular lymphoma (FL) and diffuse large B-cell lymphoma (DLBCL) (defined as FL/DLBCL) have been considered an important pathological feature in cell lymphoma. However, clinicopathological information and prognostic factors in these cases are scarce. The aim of this study was to construct a prediction index to compare with traditional prognostic models. Methods. Retrospectively enrolled, previously untreated FL/DLBCL ( n = 121 ) patients, as well as those with pure FL 1–3a ( n = 471 ), were assessed. De novo DLBCL ( n = 529 ) were used as controls. Kaplan–Meier curves were plotted to compare the outcomes among the three groups. Multivariate analysis identified risk factors associated with overall survival (OS) in FL/DLBCL patients. A clinicopathological prognosis index (CPPI) was developed to predict OS based on the Cox proportional hazards model. Results. The outcomes of FL/DLBCL patients were intermediate between pure FL 1–3a and de novo DLBCL patients, with a 5-year PFS of 70%, 59%, and 48% ( P < 0.05 ) and 5-year OS of 80%, 70% and 60% ( P < 0.05 ), respectively. Cox regression analysis showed that the prognostic factors of OS for FL/DLBCL patients included FL grade, cell of origin, and Ann Arbor stage. A nomogram and clinicopathological prognostic index (CPPI) were developed to predict the OS for FL/DLBCL patients based on these factors. The area under the curve (AUC) of the CPPI for 3- and 5-year OS prediction was 0.782 and 0.860, respectively. This was superior to that of the International Prognostic Index (IPI), Follicular Lymphoma International Prognostic Index (FLIPI), and FLIPI2 in the 0.540–0.819 ( P < 0.01 ) range. Conclusions. A valid OS estimation in FL/DLBCL patients, using the recommended CPPI, may be useful in routine clinical practice.

The mantle cell lymphoma (MCL) International Prognostic Index (MIPI) and combined MIPI (MIPI-c) are commonly used for risk classification of MCL patients. However, these indexes lack immune-related parameters. The purpose of this study was to develop a novel prognostic model that integrated clinical and immune parameters. A total of 189 patients with newly diagnosed MCL from January 2010 to June 2020 were enrolled in our study. A nomogram and immune-related prognostic index (IRPI) were established to predict the overall survival (OS) of patients according to univariate and multivariate analyses. Discrimination and calibration were used to compare the prognostic performance of the IRPI, MIPI, and MIPI-c. External validation was performed based on validation dataset (n = 150) from two other centers. The results for the training dataset indicated that B symptoms, platelet count, B2M level, CD4+ T-cell count26.7% and CD8+ T-cell count44.2% were predictors for OS. All the prognostic factors were integrated into the nomogram. For the overlap of confidence intervals of each variable, we assigned one point for each factor. The IRPI categorized patients into three risk categories: a score of zero indicated low risk, a score of one or two indicated intermediate risk, and a score of ≥3 indicated high risk. The IRPI showed better discrimination and calibration power than the MIPI and MIPI-c in the training dataset and validation dataset. The novel IRPI is a refined risk stratification index and reflects the strong complementary prognostic effects between clinical and immune parameters in MCL.

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.

Diffuse large B-cell lymphoma (DLBCL) presents a great clinical challenge and has a poor prognosis, with immune-related genes playing a crucial role. We aimed to develop an immune-related prognostic signature for improving prognosis prediction in DLBCL. Samples from the GSE31312 dataset were randomly allocated to discovery and internal validation cohorts. Univariate Cox, random forest, LASSO regression and multivariate Cox analyses were utilized to develop a prognostic signature, which was verified in the internal validation cohort, entire validation cohort and external validation cohort (GSE10846). The tumor microenvironment was investigated using the CIBERSORT and ESTIMATE tools. Gene set enrichment analysis (GSEA) was further applied to analyze the entire GSE31312 cohort. We identified four immune-related genes (CD48, IL1RL, PSDM3, RXFP3) significantly associated with overall survival. Based on discovery and validation cohort analyses, this four-gene signature could classify patients into high- and low-risk groups, with significantly different prognoses. Activated memory CD4 T cells and activated dendritic cells were significantly decreased in the high-risk group, and these patients had lower immune scores. GSEA revealed enrichment of signaling pathways, such as T cell receptor, antigen receptor-mediated, antigen processing and presentation of peptide antigen via MHC class I, in the low-risk group. In conclusion, a robust signature based on four immune-related genes was successfully constructed for predicting prognosis in DLBCL patients.

BGB-3111, a novel Bruton's tyrosine kinase (BTK) inhibitor, shows promising anti-cancer effects in chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL), mantle cell lymphoma (MCL), and Waldenstrom macroglobulinemia (WM). This study aimed to investigate the anti-cancer effects of BGB-3111 combined with bortezomib (BTZ) against the BTK-expressing MCL. We found that BTK, which was overexpressed in 59.4% of patients with MCL, was mainly characterized by high Ki67 and elevated MIPI scores. BGB-3111 strongly inhibited cell proliferation, induced cell cycle arrest in the G1/G0-phase, and promoted cell apoptosis in the MCL cells expressing BTK. BGB-3111 provides better safety than another BTK inhibitor, ibrutinib as ibrutinib inhibits the inducible T-cell kinase (ITK) as an off-target effect but BGB-3111 does not inhibit ITK. Low doses of BTZ enhanced the anti-cancer effect induced by the low dose of BGB-3111 by downregulating the expression levels of PARP and Bcl-2 and increasing the expression levels of cleaved PARP and cleaved caspase-9. In addition, low doses of BGB-3111, but not of BTZ, inhibited BTK phosphorylation. However, low-doses of BTZ strengthened the anti-cancer effect induced by the low-doses of BGB-3111 via synergistically suppressing the IκBα and P65 phosphorylation. Taken together, our findings validate that BGB-3111 is a novel and effective BTK inhibitor for MCL-expressing BTK. Hence, it can be harnessed as a potential therapeutic strategy through a combinatorial treatment comprising low-dose BGB-3111 and low-dose BTZ to gain strong anti-cancer effects and better safety for MCL patients.

Metastasis-associated lung adenocarcinoma transcript 1 (MALAT1) has been involved in the pathogenesis and progression of several cancers. However, the exact effect of MALAT1 in primary gastrointestinal diffuse large B-cell lymphoma (PGI-DLBCL) has not been elucidated. This study aimed to explore the prognostic value of MALAT1 in PGI-DLBCL patients. Quantitative real-time Polymerase Chain Reaction (qRT-PCR) was performed to detect the expression of MALAT1 in 90 patients with PGI-DLBCL. MALAT1 was remarkably up-regulated in PGI-DLBCL tissues as compared to that of paired adjacent non-tumor tissues (P

Purpose: To investigate the prognostic significance of programmed cell death ligand-1 (PD-L1) and phosphorylated ERK (p-ERK) and their interactions in T-cell lymphoma (TCL). Methods: The mRNA levels of PD-L1 and ERK in TCL samples were analyzed. Formalin-fixed paraffin-embedded tissues from 69 TCL patients were collected to detect the expression of PD-L1 and p-ERK by multiplexed immunofluorescence staining. The total PD-L1 and p-ERK was measured by western blotting, and membrane PD-L1 was determined using flow cytometry. Results: PD-L1 and ERK mRNA levels were significantly upregulated in TCL. The expression rates of PD-L1 and p-ERK were 52.2% and 27.5%, respectively. PD-L1 expression correlated with stage (R=0.304, P=0.011) and IPI score (R=0.313, P=0.009), and p-ERK expression correlated with stage (R=0.330, P=0.006) and IPI score (R=0.376, P=0.002). PD-L1 expression positively correlated with p-ERK expression (R=0.355, P=0.003). Patients with co-expression of PD-L1 and p-ERK had the worst overall survival (P=0.007). In three TCL cell lines with PD-L1 expression, we demonstrated that the expression of p-ERK was upregulated after stimulation with PD-1, suggesting that ERK signaling was activated. Conclusions: The PD-1/PD-L1 axis activates intracellular ERK signaling in tumor cells and that PD-L1, p-ERK or their combination are potential biomarkers for predicting the prognosis in TCL patients.

Tim-3 is a promising target for antitumor immunotherapy. A number of clinical trials are evaluating the efficacy of anti-Tim-3 therapies as a single agent or combinations in solid tumors and haematologic malignancies. However, there remains a considerable lack of data on Tim-3 signalling, especially the genetic characteristics and immune microenvironment, in diffuse large B cell lymphoma (DLBCL). Herein, we identified three genetic mutations in galectin-9, a major ligand of Tim-3, in six patients with DLBCL (6/188, 3.2%) that were not detected in the COSMIC database. The Oncomine database showed that the mRNA levels of Tim-3 were higher in DLBCL cells than those in normal B cells. Multiplexed immunofluorescence revealed that patients with Tim-3-expressing tumor-infiltrating lymphocytes (Tim-3+ TILs) exhibited poor outcomes than those with Tim-3- TILs ( p = 0.041 ). The median survival times of these patients were 65.0 (95% confidence interval (CI): 71.2–88.6) and 79.9 months (95% CI: 54.4–75.6), respectively. Furthermore, we defined a novel subtype of exhausted T cells, named as exhausted Tim-3+ CD8+ T cells, and found that patients with exhausted Tim-3+ CD8+ T cells (median survival, 62.8 months, 95% CI: 50.0–75.6) exhibited shorter survival than those with nonexhausted Tim-3- CD8+ T cells (median survival, 82.5 months, 95% CI: 72.0–92.9; p = 0.034 ). Overall, these findings provide the genetic status of the Tim-3 ligand in DLBCL. Patients with Tim-3+ TILs and exhausted Tim-3+ CD8+ T cells exhibited inferior survival, thus highlighting the possibility of potential therapeutic applications of the inhibition of Tim-3 alone or in combination with other immune checkpoints for treatment of patients with DLBCL.

The aim was to build a prognostic model to stratify patients at diagnosis into different risk categories. We investigated the prognostic value of functional PET parameters and clinical features in 64 primary breast lymphoma (PBL) patients. With a median follow-up of 60 months, 5-year progression-free survival (PFS) and overall survival (OS) was 62.5% and 73.4%. In multivariate analysis, baseline total metabolic tumor volume (TMTV0) and β2-microglobulin remained more reliable predictors of survival than other prognostic factors. The optimal TMTV0 cut-off value was 90 cm3 . Among 29 patients with high TMTV0, 5-year PFS and OS were 44.8% and 62.1%, respectively, while 5-year PFS and OS of 35 patients with low TMTV0 were 74.3% and 85.7%, respectively. TMTV0 combined with β2-microglobulin identified three groups with very different prognosis, including low-risk group with low TMTV0 and β2-microglobulin≤normal (n = 30), intermediate-risk group with high TMTV0 or β2-microglobulin>normal (n = 20), and high-risk group with high TMTV0 and β2-microglobulin>normal (n = 14). In the three groups, 5-year PFS rates were 80%, 55% and 28.6% (P = .003), and 5-year OS rates were 90%, 65%, and 50% (P = .023) respectively. We established a new prognostic model through TMTV0 and β2-microglobulin, and can divide PBL at diagnosis into different risk categories.

Immunotherapies are changing the landscape of melanoma treatment, but 70% of the melanoma patients have no response to immune checkpoint inhibitors or oncolytic virus therapy. Thus, novel formulations are needed to improve the population benefiting from immunotherapy. Here, we report a combined therapeutic modality based on oncolytic virus nanovesicles composed of CaCl

A number of studies suggest an association between miRNAs and diffuse large B-cell lymphoma (DLBCL). The present study aimed to investigate the prognostic value of microRNA (miR-150) in primary gastrointestinal (PGI)-DLBCL, by assessing the association between miR-150 expression and clinicopathological characteristics in patients with PGI-DLBCL. A total of 84 patients diagnosed with PGI-DLBCL were recruited and both tumor and adjacent non-tumor tissue samples were collected. miR-150 expression was assessed via reverse transcription-quantitative (RT-q)PCR analysis. The results demonstrated that miR-150 expression was significantly lower in PGI-DLBCL tissues compared with adjacent non-tumor tissues. Furthermore, receiver operating characteristic (ROC) curve analysis indicated that the optimal cut-off value of miR-150 for predicting survival was 8.965 with high sensitivity (79.8%) and specificity (77.1%). Patients were divided into two groups according to this cut-off value, as follows: High (n=18) and low expression (n=66) groups. Low miR-150 expression was significantly associated with clinical stage, International Prognostic Index (IPI), Eastern Cooperative Oncology Group status and use of rituximab. RT-qPCR analysis demonstrated that miR-150 expression was significantly lower in patients with high IPI scores compared with patients with low IPI scores. Downregulated miR-150 expression was significantly associated with shorter overall survival (OS) time and progression-free survival (PFS) time in patients with PGI-DLBCL. Furthermore, miR-150 level and IPI score were identified as two risk factors for OS and PFS. The diagnostic value of miR-150 was evaluated via ROC curve analysis, with an area under the curve value of 0.882. Taken together, the results of the present study suggest that miR-150 is a potential diagnostic marker of PGI-DLBCL, and may also serve as a useful prognostic factor for survival outcomes in patients with PGI-DLBCL.

Purpose: Diffuse large B cell lymphoma (DLBCL) is one of the most common B cell lymphomas, which displays heterogeneous pathologies. Programmed cell death 1/ programmed cell death ligand 1 (PD-1/PD-L1) plays an essential role in immunosuppression in multiple malignancies. Signal transducer and activator of transcription 3 (STAT3)-positive patients also have an independently inferior clinical outcome. However, there are no reports on the effect of plasma soluble PD-L1 (sPD-L1) combined with plasma STAT3 on the prognosis of DLBCL. In this study, we investigate the relationships between plasma sPD-L1 combined with STAT3 and clinical prognosis of DLBCL. Methods: Levels of plasma sPD-L1 and STAT3 were quantified using ELISA in eighty-seven DLBCL patients. Multiplexed immunofluorescence staining was performed to visualize the expression of PD-L1 in twenty-nine matched FFPE specimens from all patients. Results: The survival analysis revealed that the progression-free survival (PFS) and overall survival (OS) in high sPD-L1 level group were poorer than that in low sPD-L1 level group (PFS, P < 0.001; OS, P < 0.001). Similarly, the PFS and OS in high STAT3 level group were also poorer than that in low STAT3 level group. Multivariate cox regression analysis showed that both high sPD-L1 and high STAT3 levels were the independent prognostic factors negatively affecting survival. In addition, patients with DLBCL having high levels of both sPD-L1 and STAT3 had a worse outcome than those patients having any one high or low levels of both (P < 0.001). Conclusions: We therefore revealed that high levels of plasma sPD-L1 and STAT3 are associated with inferior outcome for DLBCL patients, suggesting that combined measurement of their levels in plasma may be a promising prognostic strategy for DLBCL patients.

Background: Diffuse large B-cell lymphoma (DLBCL) is a highly heterogeneous lymphatic malignancy. The role of TP53 gene alterations in DLBCL remains unclear. Methods: We performed a comprehensive analysis of the genomic characteristics of TP53 through targeted next-generation sequencing (n=176), RNA-sequencing (n=152), and circulating tumor DNA sequencing (n=38). Results: TP53 was frequently mutated in DLBCL; most TP53 mutations occurred in the DNA-binding domain (DBD). However, TP53 alone is insufficient to effectively differentiate the risk of DLBCL, even when only considering mutations in the DBD region. However, CD58 mutations, which are mutually exclusive from TP53 mutations, in combination with TP53 mutations, could significantly differentiate the prognosis of DLBCL. The survival of patients with either one of the mutually exclusive mutation patterns, namely, TP53MUT&CD58WT or TP53WT&CD58MUT, was inferior to those harboring both wild-type TP53 and CD58. Notably, patients with the TP53WT&CD58MUT mutation pattern had the worst outcome and were characterized by an enhanced immune escape, including features such as the abundant infiltration of inflammatory cells and upregulation of inhibitory immunomodulatory molecules; these patients represent the candidate populations for immune therapy. Conclusions: Our findings indicated that the mutation patterns of TP53 and CD58 accurately stratified patients with DLBCL to permit the optional immunotherapy.

Peiqi Zhao,1,&ast; Yuanlin Xu,2,&ast; Wei Ji,3 Lanfang Li,1 Lihua Qiu,1 Shiyong Zhou,1 Zhengzi Qian,1 Huilai Zhang1 1Department of Lymphoma, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, People’s Republic of China; 2Department of Lymphatic Comprehensive Internal Medicine, Affiliated Cancer Hospital of Zhengzhou University, Zhengzhou, Henan, 450001, People’s Republic of China; 3Public Laboratory, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Peiqi Zhao; Huilai ZhangDepartment of Lymphoma, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, People’s Republic of ChinaTel +86-22-23340123Email peiqizhao@126.com; zhanghltch@163.comPurpose: Cancer vaccines are a promising therapeutic approach in cancer immunotherapy and can inhibit tumor growth and prevent tumor recurrence and metastasis by activating a sustained antitumor immunoprotective effect. However, the therapeutic effect of cancer vaccines is severely weakened by the low immunogenicity of cancer antigens and the immunosuppressive microenvironment in tumor tissues.Methods: Here, we report a novel hybrid membrane nanovaccine, composed of mesoporous silica nanoparticle as a delivery carrier, hybrid cell membranes obtained from dendritic cells and cancer cells, and R837 as an immune adjuvant (R837@HM-NPs). We investigated the anti-tumor, tumor recurrence and metastasis prevention abilities of R837@HM-NPs and their mechanisms of action through a series of in vivo and ex vivo experiments.Results: R837@HM-NPs not only provide effective antigenic stimulation but are also a durable supply of the immune adjuvant R837. In addition, R837@HM-NPs promote antigen endocytosis into dendritic cells via various receptor-mediated pathways. Compared with HM-NPs or R837@HM-NPs, R837@HM-NPs in combination with an immune checkpoint blockade showed stronger antitumor immune responses in inhibiting tumor growth, thus eliminating established tumors, and rejecting re-challenged tumors by regulating the immunosuppressive microenvironment and immunological memory effect.Conclusion: These findings suggest that the hybrid membrane nanovaccine in combination with immune checkpoint blockade is a powerful strategy to enhance antitumor immunotherapy without concerns of systemic toxicity.Keywords: hybrid membrane, immune checkpoint blockade, immunotherapy, mesoporous silica nanoparticle, nanovaccine

Epigenetic modifications contribute to lymphomagenesis. Here, we performed an expression clustering analysis and identified two epigenetic-related clusters (EC1 and EC2). EC1 presented abundant TP53, MYD88, HIST1H1D, HIST1H1C, KMT2D and EZH2 mutations and an inferior prognosis. Pathways involved in the regulation of DNA methylation/demethylation, histone methyltransferase activity, and protein methyltransferase activity were significantly enriched in EC1. However, EC2 was frequently accompanied by B2M, CD70 and MEF2B mutations, which presented with enrichments in DNA damage repair, cytokine-mediated and B-cell activated immune signaling, increased levels of CD8

Secondary central nervous system (SCNS) involvement is an infrequent but universally fatal event in diffused large B-cell lymphoma. The occurrence rate of SCNS involvement is approximately 5% but comes with a poor prognosis ever after. However, existing risk models to predict the incidence and prognosis of these patients with SCNS involvement lack both efficiency and accuracy. Controversy has also been reported regarding which risk factor may best identify the population with a high CNS relapse rate. In this study, we retrospectively analyzed 831 patients with diffused large B-cell lymphoma, diagnosed between March 2008 and June 2018 in Tianjin Medical University Cancer Institute and Hospital, Beijing Cancer Hospital, and Cancer Hospital of The University of Chinese Academy of Science. Risk factors and nomogram were identified and established based on Fine and Gray's competing risk analysis. Among these patients, 55 (6.6%) of them eventually developed SCNS involvement. The 1- and 2-year incidence for SCNS involvement were 3.9% and 4.7%, respectively. The median time from de novo diagnosis to CNS relapse was 8 months, and the median overall survival of these patients was 28 months. Considering the competing mortality before SCNS involvement, Fine and Gray's competing risk model was performed to analyze the characteristics related to SCNS involvement, and identified risk factors as the multiple extranodal involvements, elevated LDH and AMC level, and the involvement of breast, adrenal gland/kidney, pulmonary and bone. Corresponding factors were integrated into the competing nomogram for SCNS involvement (c-index = 0.778). In conclusion, we present the first predictive nomogram to evaluate the risk to develop SCNS involvement in de novo DLBCL patients, which may help in both prognostic evaluation and clinical decision for this subgroup.

PurposeAlthough the role of tumor-infiltrating T cells in follicular lymphoma (FL) has been reported previously, the prognostic value of peripheral blood T lymphocyte subsets has not been systematically assessed. Thus, we aim to incorporate T-cell subsets with clinical features to develop a predictive model of clinical outcome.MethodsWe retrospectively screened a total of 1,008 patients, including 252 newly diagnosed de novo FL patients with available peripheral blood T lymphocyte subsets who were randomized to different sets (177 in the training set and 75 in the internal validation set). A nomogram and a novel immune-clinical prognostic index (ICPI) were established according to multivariate Cox regression analysis for progression-free survival (PFS). The concordance index (C-index), Akaike’s information criterion (AIC), and likelihood ratio chi-square were employed to compare the ICPI’s discriminatory capability and homogeneity to that of FLIPI, FLIPI2, and PRIMA-PI. Additional external validation was performed using a dataset (n = 157) from other four centers.ResultsIn the training set, multivariate analysis identified five independent prognostic factors (Stage III/IV disease, elevated lactate dehydrogenase (LDH), Hb 36.6%) for PFS. A novel ICPI was established according to the number of risk factors and stratify patients into 3 risk groups: high, intermediate, and low-risk with 4-5, 2-3, 0-1 risk factors respectively. The hazard ratios for patients in the high and intermediate-risk groups than those in the low-risk were 27.640 and 2.758. The ICPI could stratify patients into different risk groups both in the training set (P < 0.0001), internal validation set (P = 0.0039) and external validation set (P = 0.04). Moreover, in patients treated with RCHOP-like therapy, the ICPI was also predictive (P < 0.0001). In comparison to FLIPI, FLIPI2, and PRIMA-PI (C-index, 0.613-0.647), the ICPI offered adequate discrimination capability with C-index values of 0.679. Additionally, it exhibits good performance based on the lowest AIC and highest likelihood ratio chi-square score.ConclusionsThe ICPI is a novel predictive model with improved prognostic performance for patients with de novo FL treated with R-CHOP/CHOP chemotherapy. It is capable to be used in routine practice and guides individualized precision therapy.

Background Triple-negative breast cancer (TNBC) is a highly aggressive malignant disease with a high rate of recurrence and metastasis, few effective treatment options and poor prognosis. Here, we designed and constructed a combined photothermal immunotherapy strategy based on cancer cell membrane-coated biomimetic black phosphorus quantum dots (BBPQDs) for tumor-targeted photothermal therapy and anti-PD-L1 mediated immunotherapy. Results BBPQDs have good photothermal conversion efficiency and can efficiently target tumor cells through homologous targeting and tumor homing. Under near infrared irradiation, we found that BBPQDs kill tumors directly through photothermal effects and induce dendritic cells maturation. In vivo studies have confirmed that the combined photothermal immunotherapy strategy displays a stronger antitumor activity than anti-PD-L1 monotherapy. In addition, BBPQDs-mediated photothermal therapy in combination with anti-PD-L1 treatment inhibit tumor recurrence and metastasis by reprograming the immunosuppressive tumor microenvironment into an immune-active microenvironment, and promoting the local and systemic antitumor immune response. We further found that the combined photothermal immunotherapy strategy can produce an immune memory effect against tumor rechallenge. Conclusions This study provides a novel therapeutic strategy for inhibiting the recurrence and metastasis of TNBC, with broad application prospects.

This study aimed to identify the prognostic factors in patients with Waldeyer's ring diffuse large B-cell lymphoma (WR-DLBCL), comparing the efficacy of radiotherapy (RT) for the WR-DLBCL patients in the pre-rituximab and rituximab eras. We conducted a retrospective analysis of 134 patients diagnosed with WR-DLBCL. Univariate and multivariate analyses were performed to identify the prognostic factors for WR-DLBCL. Then, we divided these patients into the rituximab plus chemotherapy group (R-chemotherapy) (n = 88) and chemotherapy group (n = 46), and the Kaplan-Meier and Cox regression model analyses were applied to investigate the treatment value of RT in both the groups. Multivariate analysis revealed international prognostic index (IPI) ≥ 3 and chemotherapy without rituximab as significant risk factors for the progression-free survival (PFS, IPI ≥ 3: p = 0.001; chemotherapy without rituximab: p = 0.002) and overall survival (OS, IPI ≥ 3, p < 0.001; chemotherapy without rituximab, p = 0.024). Rituximab combined with chemotherapy significantly improved PFS (p = 0.002) and OS (p = 0.006) in these patients. RT did not significantly contribute to the survival in the overall cohort analysis, whereas in the subgroup analysis, RT significantly improved the PFS (p = 0.025) and OS (p = 0.029) for the patients in the chemotherapy group, but not in the R-chemotherapy group. In conclusion, the WR-DLBCL patients could benefit from RT in the pre-rituximab era, whereas the addition of rituximab to chemotherapy significantly improved the survival of WR-DLBCL patients, and the clinical benefit of RT was reduced.

Peiqi Zhao, Lihua Qiu, Shiyong Zhou, Lanfang Li, Zhengzi Qian, Huilai Zhang Department of Lymphoma, Tianjin’s Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, 300060, People’s Republic of ChinaCorrespondence: Huilai ZhangDepartment of Lymphoma, Tianjin Medical University Cancer Institute and Hospital, 24 Huanhu West Road, Hexi District, Tianjin, 300060, People’s Republic of ChinaTel +86-22-23340123Email zhlwgq@126.comPurpose: Although anti-programmed cell death protein 1 antibody (aPD1) immunotherapy and chemotherapy has made much progress in the treatment of melanoma, the efficacy still needs to be further improved.Methods: Cancer treatment has been greatly enhanced by the use of nanotechnology. Cancer cell membrane (CCM)-camouflaged nanoparticles have shown promising potential in tumor therapy due to their excellent homologous-targeting ability, long blood circulation and immune escape. This work presents a biocompatible and tumor acidic environmental responsive CCM-camouflaged mesoporous silica nanoparticle (CMSN) that is loaded with dacarbazine (DTIC) and combined with aPD1 to achieve better antitumor efficacy.Results: In vitro cell experiments demonstrated that DTIC@CMSN exhibits a better anti-tumor killing efficiency and a stronger ability to promote the apoptosis of tumor cells than free DTIC. In vivo antitumor results demonstrated that combination therapy of DTIC@CMSN chemotherapy and aPD1 immunotherapy remarkably suppress the melanoma growth and prolong survival time due to highly selective tumor killing, activation of tumor-specific T cells, and regulation of the immunosuppressive tumor microenvironment. In addition, safety evaluation studies of DTIC@CMSN also demonstrate their increased tumor accumulation and decreased systemic toxicity.Conclusion: This study provides a promising nano-platform for the combination of chemotherapy with immunotherapy, which is potentially useful for the treatment of melanoma.Keywords: anti-PD-1, cancer cell membrane, cancer immunotherapy, melanoma, mesoporous silica nanoparticle

In the era of immunochemotherapy, the traditional international prognostic index (IPI) has partially lost its predictive value in diffuse large B-cell lymphoma (DLBCL) and the National Comprehensive Cancer Network-IPI (NCCN-IPI) is unable to effectively identify high-risk patients. Thus, the present study aimed to develop a modified prognostic model (M-PM) to identify high-risk patients that require aggressive treatment. The present study included 169 patients with newly diagnosed DLBCL treated with rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone (RCHOP) or RCHOP-like regimens, between 2011–2017. The results demonstrated that the risk discrimination was improved in the NCCN-IPI compared with the IPI, and patients were divided into four risk groups with a 5-year overall survival rate of 93.8, 76.5, 54.3 and 39.4%, respectively. However, the NCCN-IPI failed to identify the high-risk DLBCL population. The newly developed M-PM presented here included four parameters: Age (≥65 years), an elevated lactate dehydrogenase level, Eastern Cooperative Oncology Group score ≥2 and total metabolic tumor volume ≥300 cm3. The M-PM also divided patients into four risk groups that comprised 40.8, 23.1, 26.0 and 10.1% of the patients, and the 5-year survival rates of these groups were 92.4, 70.6, 52.3 and 24.5%, respectively. Taken together, the results of the present study demonstrated that the M-PM was more accurate compared with the IPI and the NCCN-IPI, which served as an effective tool for identifying patients with DLBCL at high risk of an adverse prognosis.