Clinical and treatment-related features determining the risk of late relapse in patients with diffuse large B-cell lymphoma

Lymphoma relapse 1 year or later after immunochemotherapy in DLBCL patients: clinical features and outcome

Despite great advances in treatment, 30-40% of patients with DLBCL undergo relapses. Patients with a relapse within 1 year or beyond have a distinct outcome. Few clinical characteristics and survival data in the Chinese population have been published. We aimed to define the incidence and clinical features of DLBCL patients with very early relapse after front-line immunochemotherapy who may benefit greatly from the emerging chimeric antigen receptor T-cell therapy. Data of 564 DLBCL patients were analyzed. Among the 413 patients achieving a first complete remission, 59 underwent relapses: 32 patients (54.2%) relapsed within 1 year, and 27 patients (46.8%) relapsed 1 year or more. Patients relapsing within 1 year, in comparison with the other group, showed an inferior risk profile at diagnosis: elevated lactate dehydrogenase level (P = 0.002), high Eastern Cooperative Oncology Group performance score (P = 0.02), and high international prognosis index (P = 0.004). As expected, a worse overall survival was observed in the early relapse group. Multivariate analysis for OS showed that relapse within 1 year was an independent parameter for reduced overall survival (HR 0.241, P = 0.002).

Prognostic models for early and late tumor progression prediction in nasopharyngeal carcinoma: An analysis of 8292 endemic cases

OBJECTIVES

The time for posttreatment tumor progression differs between nasopharyngeal carcinoma (NPC) patients. Herein, we established effective nomograms for predicting early tumor progression (ETP) and late tumor progression (LTP) in NPC patients.

METHODS

We retrospectively enrolled 8292 NPC patients (training cohort: n = 6219; validation cohort: n = 2073). The ELP and LTP were defined as the time to tumor progression ≤24 and >24 months after treatment, respectively.

RESULTS

The ETP and LTP accounted for 52.6 and 47.4% of the total patient cohort, respectively. Patients who developed ETP had markedly worse overall survival (OS) versus patients who suffered from LTP (5-year OS: 26.2% vs. 59.7%, p < 0.001). Further, we identified 10/6 predictive factors significantly associated with ETP/LTP via logistic regression analyses. These indicators were used separately to construct two predictive nomograms for ETP and LTP. In the training group, the ETP nomogram [Harrell Concordance Index (C-index) value: 0.711 vs. 0.618; p < 0.001] and LTP nomogram (C-index value: 0.701 vs. 0.612; p < 0.001) were significantly superior for risk stratification than the TNM staging. These results were supported in the validation group with a C-index value of 0.753 and 0.738 for the ETP and LTP nomograms, respectively. High-risk patients defined by ETP/LTP nomograms had shorter progression-free survival than low-risk patients (all p < 0.001).

CONCLUSION

The established nomograms can help in ELP or LTP risk stratification for NPC patients. Our current results might also provide insights into individualized treatment decisions and designing surveillance strategies for NPC patients.

Detection of Second Primary Lymphoma in Late Diffuse Large B-cell Lymphoma Recurrences

Approximately one-third of patients with diffuse large B-cell lymphoma (DLBCL) relapse and often require salvage chemotherapy followed by autologous stem cell transplantation. In most cases, the clonal relationship between the first diagnosis and subsequent relapse is not assessed, thereby potentially missing the identification of second primary lymphoma. In this study, the clonal relationship of 59 paired DLBCL diagnoses and recurrences was established by next-generation sequencing-based detection of immunoglobulin gene rearrangements. Among 50 patients with interpretable results, 43 patients (86%) developed clonally related relapsed disease. This was observed in 100% of early recurrences (<2 years), 80% of the recurrences with an interval between 2 and 5 years, and 73% of late recurrences (≥5 years). On the other hand, 7 (14%) out of 50 patients displayed different dominant clonotypes in primary DLBCL and clinical recurrences, confirming the occurrence of second primary DLBCL; 37% of DLBCL recurrences that occurred ≥4 years after diagnosis were shown to be second primary lymphomas. The clonally unrelated cases were Epstein-Barr virus positive in 43% of the cases, whereas this was only 5% in the relapsed DLBCL cases. In conclusion, next-generation sequencing-based clonality testing in late recurrences should be considered in routine diagnostics to distinguish relapse from second primary lymphoma, as this latter group of patients with DLBCL may benefit from less-intensive treatment strategies.

Smedby K, Eloranta S. Patient trajectories after diagnosis of diffuse large B-cell lymphoma-a multistate modelling approach to estimate the chance of lasting remission

BACKGROUND

Achieving lasting remission for at least 2 years is a good indicator for favourable prognosis long term after Diffuse large B-cell lymphoma (DLBCL). The aim of this study was to provide real-world probabilities, useful in risk communication and clinical decision-making, of the chance for lasting remissions by clinical characteristics.

METHODS

DLBCL patients in remission after primary treatment recorded in the Swedish Lymphoma register 2007-2014 (n = 2941) were followed for relapse and death using multistate models to study patient trajectories. Flexible parametric models were used to estimate transition rates.

RESULTS

At 2 years, 80.7% (95% CI: 79.0-82.2) of the patients were predicted to remain in remission and 13.2% (95% CI: 11.9-14.6) to have relapsed. The relapse risk peaked at 7 months, and the annual decline of patients in remission stabilised after 2 years. The majority of patients in the second remission transitioned into a new relapse. The probability of a lasting remission was reduced by 20.4% units for patients with IPI 4-5 compared to patients with IPI 0-1, and time in remission was shortened by 3.5 months.

CONCLUSION

The long-term prognosis was overall favourable with 80% achieving durable first remissions. However, prognosis varied by clinical subgroups and relapsing patients seldom achieved durable second remissions.

Economic burden in treated Japanese patients with relapsed/refractory large B-cell lymphoma

Aim: To understand the economic burden of relapsed and refractory large B-cell lymphoma patients in Japan treated with salvage chemotherapy. Patients & methods: Patients who received systemic therapy after first-line treatment were analyzed to assess its associated cost and resource use using a retrospective claims database. The impact of COVID-19 was assessed separately. Results & conclusion: This study identified 2927 and 1085 patients in the second- (2L) and third-line (3L) cohorts. The median ages for the 2L and 3L cohorts were 71 and 70 years, respectively, with Charlson Comorbidity Score of 3. A majority of the patients had limited stem cell transplant due to advanced age. Median lengths of inpatient stay for the 2L and 3L cohorts were 118 and 116 days, respectively. The majority of costs were attributed to inpatient costs, and limited COVID-19 impact was observed in this study.

A comprehensive retrospective cohort study of the journey of B-cell lymphoma in Taiwan

Complete disease journey and risk factors for poor outcomes are needed to facilitate effectiveness evaluations of new therapies and clinical decision-making in B-cell Non-Hodgkin lymphoma (B-NHL), particularly in Asia where such data are lacking. This retrospective cohort study used electronic medical records from a regional medical centre in southern Taiwan to follow-up 441 patients newly diagnosed with common B-NHL subtypes: Diffuse Large B-cell Lymphoma (DLBCL), Follicular Lymphoma (FL), Chronic Lymphocytic Leukaemia/Small Lymphocytic Lymphoma (CLL/SLL), Marginal Zone Lymphoma (MZL), Mantle Cell Lymphoma (MCL), and Waldenström macroglobulinemia (WM), between 01-Jan-2008 and 31-Dec-2013, until 31-Dec-2017. Treatment pathways were modelled using a Markov approach. Stage III/IV disease at diagnosis was frequent for patients with DLBCL, FL, MCL and WM. Hepatitis B surface antigen/hepatitis C virus seropositivity was 18.6%/12.3%. Clinical responses to 1st-line treatment were observed in 76.0% (DLBCL), 87.3% (FL), 86.0% (MZL), 60.0% (MCL), and 42.9% (WM) of patients. For DLBCL, disease control was achieved by ~ 50% after 1st-line, ~ 24% after 2nd-line, ~ 17% after 3rd-line. Patients with Stage III/IV DLBCL or age > 65 years at diagnosis had lower rates of active treatment, poorer disease control and higher mortality than patients with early stage disease or age ≤ 65 years. Disease flare < 6 months after 1st-line treatment was significantly associated with mortality. Despite good clinical response rates for some sub-types, survival remains poor. New treatments are needed to improve the outcome of B-NHL.

Prognostic Nomogram and Predictive Factors in Refractory or Relapsed Diffuse Large B-Cell Lymphoma Patients Failing Front-Line R-CHOP Regimens

Background: The clinical course of relapsed or refractory (r/r) diffuse large B-cell lymphoma (DLBCL) is variable, with limited efficacy data of second-line treatment in a post-rituximab real-world context. Hence, we explored the predictors and constructed a nomogram for risk stratification in this population.

Patients and methods: Among 296 r/r DLBCL patients pretreated with R-CHOP (rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone) at the Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College between 2006 and 2017, 231 were included for nomogram construction. After randomization, we constructed the prognostic nomogram in the primary cohort (n=161) based on a multivariate analysis and confirmed it in the validation cohort (n=70). Additionally, we explored predictive factors for second-line therapy using a ordinal regression analysis.

Results: Four independent prognostic factors including rituximab in the second-line setting, initial Eastern Cooperative Oncology Group (ECOG) performance status (PS), response to front-line treatment, and invasion on progression/recurrence were used to construct the nomogram. The nomogram had a C index of 0.70 with AUC values of 0.73 and 0.71 for the primary and validation cohorts, respectively. Subsequently, three risk groups (low, intermediate, and high) were determined with median overall survival (OS) of 38.0, 25.0, and 7.0 months, respectively. Additionally, we conducted a multivariate ordinal regression analysis and identified prior response to front-line treatment (odds ratio=4.50, 95% CI: 1.84-11.27, p=0.001) and bulky disease at diagnosis (odds ratio=0.36, 95% CI: 0.182-0.702, p=0.003) were two independent factors for second-line treatment efficacy.

Conclusions: The established predictors for treatment efficacy and the novel nomogram for survival in r/r DLBCL patients could potentially be applied for risk stratification and treatment guidance in the post-rituximab era.

Distinct clinical characteristics at diagnosis in patients with late relapses compared with early relapses of diffuse large B-cell lymphoma treated with R-CHOP

The distinct clinical characteristics of patients at diagnosis of diffuse large B-cell lymphoma (DLBCL), who experience a late relapse compared with those who relapse early, require reappraisal in the era of R-CHOP. Data from the lymphoma registry of the Asan Medical Center between 2002 and 2015 were retrospectively reviewed. Among 846 DLBCL patients treated with first-line R-CHOP and achieved complete response, 169 (20%) relapsed, occurring late (>2 years) in 51 (6%). Compared with early relapses, late relapses were associated with a lower International Prognostic Index score (p=.001), lower incidence of B-symptoms (p=.004), lower lactate dehydrogenase (p=.001), lower stage (I-II; p=.001), and the median overall survival from relapse was significantly longer (2.4 vs. 1.0 years, p=.001). Patients with a late relapse who responded to salvage chemotherapy and received autologous stem-cell transplantation, had higher 5-year survival rate (55.4% vs. 20.2%). Time of relapse and LDH level were independent prognostic factors affecting survival.

Factors influencing harmonized health data collection, sharing and linkage in Denmark and Switzerland: A systematic review

INTRODUCTION

The digitalization of medicine has led to a considerable growth of heterogeneous health datasets, which could improve healthcare research if integrated into the clinical life cycle. This process requires, amongst other things, the harmonization of these datasets, which is a prerequisite to improve their quality, re-usability and interoperability. However, there is a wide range of factors that either hinder or favor the harmonized collection, sharing and linkage of health data.

OBJECTIVE

This systematic review aims to identify barriers and facilitators to health data harmonization-including data sharing and linkage-by a comparative analysis of studies from Denmark and Switzerland.

METHODS

Publications from PubMed, Web of Science, EMBASE and CINAHL involving cross-institutional or cross-border collection, sharing or linkage of health data from Denmark or Switzerland were searched to identify the reported barriers and facilitators to data harmonization.

RESULTS

Of the 345 projects included, 240 were single-country and 105 were multinational studies. Regarding national projects, a Swiss study reported on average more barriers and facilitators than a Danish study. Barriers and facilitators of a technical nature were most frequently reported.

CONCLUSION

This systematic review gathered evidence from Denmark and Switzerland on barriers and facilitators concerning data harmonization, sharing and linkage. Barriers and facilitators were strictly interrelated with the national context where projects were carried out. Structural changes, such as legislation implemented at the national level, were mirrored in the projects. This underlines the impact of national strategies in the field of health data. Our findings also suggest that more openness and clarity in the reporting of both barriers and facilitators to data harmonization constitute a key element to promote the successful management of new projects using health data and the implementation of proper policies in this field. Our study findings are thus meaningful beyond these two countries.

Conditional Long-Term Survival after Autologous Hematopoietic Cell Transplantation for Diffuse Large B Cell Lymphoma

Autologous hematopoietic cell transplantation (AHCT) is standard therapy for patients with chemosensitive, relapsed, diffuse large B cell lymphoma (DLBCL). We performed a retrospective cohort study to delineate subsequent (conditional) and relative survival in 371 adult patients with DLBCL who underwent AHCT between 2000 and 2014 and had survived for 1, 2, 3, or 5 years after transplant. The probability of overall survival at 10 years after AHCT was 62%, 71%, 77%, and 86%, respectively, for the 4 cohorts, whereas that of progression-free survival (PFS) was 55%, 65%, 72%, and 81%, respectively. The respective cumulative incidence of nonrelapse mortality (NRM) at 10 years after transplantation was 13%, 12%, 11%, and 8%, respectively. In multivariable analysis, older age was associated with greater mortality risk among all but 5-year survivors; relapse within the landmark time was associated with greater mortality risk in all groups. Older age and relapse within the landmark time were associated with worse PFS in all groups. Standardized mortality ratio (SMR) was significantly higher than an age-, gender-, and race-matched general population, with the magnitude of SMR decreasing as the landmark time increased (4.0 for 1-year, 3.0 for 2-year, 2.4 for 3-year, and 1.8 for 5-year survivors). Our study provides information on long-term survival and prognosis that will assist in counseling patients with DLBCL who have received AHCT. Survival improves with longer time in remission post-transplant, although patients continue to remain at risk for NRM, underscoring the need for continued vigilance and prevention of late complications.

Late relapse in patients with diffuse large B-cell lymphoma: impact of rituximab on their incidence and outcome

Diffuse large B-cell lymphoma (DLBCL) constitutes 25-35% of all non-Hodgkin lymphomas in Western countries. Approximately two thirds of the patients can be cured with standard immuno-chemotherapy. Most relapses occur within 1-2 years from diagnosis, however, the occurrence of relapses after 5 years or more has been described. We aimed at defining the incidence and clinical features of late relapses. Data of 1113 DLBCL patients were analysed. Among the 196 patients relapsing after a first complete remission, 36 (18% of relapses and 3% of all DLBCLs) experienced a recurrence more than 5 years from diagnosis. Late relapsing patients, in comparison with those relapsing earlier, showed a more favourable risk profile at presentation: normal lactate dehydrogenase levels (P = 0·002), early Ann Arbor stage (P = 0·006) and low International Prognostic Index (P = 0·003). The risk of late relapse was lowered by the introduction of rituximab as part of the front-line treatment (P < 0·001). Cause-specific survival (CSS) from the time of relapse was significantly better for late relapsing patients compared to those relapsing early: 5-year CSS rates were 53% and 31%, respectively (P = 0·033). A trend toward a better overall survival was also observed, with 5-year rates after relapse of 47% and 25%, respectively (P = 0·054).

Late Relapses in Patients With Diffuse Large B-Cell Lymphoma Treated With Immunochemotherapy

PURPOSE

In patients with diffuse large B-cell lymphoma (DLBCL), most relapses occur within the first 2 years of diagnosis. We sought to define the rate and outcome of late relapses that occurred after achieving event-free survival at 24 months (EFS24).

METHODS

We prospectively followed 1,324 patients with newly diagnosed DLBCL from 2002 to 2015 and treated with immunochemotherapy. Cumulative incidences of late DLBCL and indolent lymphoma relapses were analyzed as competing events. Postrelapse survival was defined as time from first relapse to death from any cause.

RESULTS

In 847 patients who achieved EFS24, the cumulative incidence of late relapse was 6.9% at 3 years, 9.3% at 5 years, and 10.3% at 8 years after EFS24. The incidence of DLBCL relapse was similar in patients with DLBCL alone at diagnosis (6.3% at 5 years), compared with patients with concurrent indolent lymphoma at diagnosis (5.2%; P = .46). However, the rate of indolent lymphoma relapse was higher in patients with concurrent indolent lymphoma (7.4% v 2.1% at 5 years; P < .01). In patients with DLBCL alone, the rate of DLBCL relapse was similar in the germinal center B-cell-like (GCB) (4.1% at 5 years) and non-GCB (4.0%; P = .71) subtypes, whereas the rate of indolent lymphoma relapse was higher in patients with the GCB subtype (3.9% v 0.0% at 5 years; P = .02). Postrelapse survival was inferior for patients who relapsed with DLBCL than for those who relapsed with indolent lymphoma (median 29.9 months v unreached; P < .01).

CONCLUSION

Patients with DLBCL with a concurrent indolent lymphoma and those with the GCB subtype had a higher rate of late relapse, owing to increased relapses with indolent lymphoma. Patients who relapsed with DLBCL had a worse prognosis than those who relapsed with indolent lymphoma.

Identification of potential drugs for diffuse large b-cell lymphoma based on bioinformatics and Connectivity Map database

Diffuse large B-cell lymphoma (DLBCL) is the most main subtype in non-Hodgkin lymphoma. After chemotherapy, about 30% of patients with DLBCL develop resistance and relapse. This study was to identify potential therapeutic drugs for DLBCL using the bioinformatics method. The differentially expressed genes (DEGs) between DLBCL and non-cancer samples were downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO). Gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis of DEGs were analyzed using the Database for Annotation, Visualization, and Integrated Discovery. The R software package (SubpathwayMiner) was used to perform pathway analysis on DEGs affected by drugs found in the Connectivity Map (CMap) database. Protein-protein interaction (PPI) networks of DEGs were constructed using the Search Tool for the Retrieval of Interacting Genes online database and Cytoscape software. In order to identify potential novel drugs for DLBCL, the DLBCL-related pathways and drug-affected pathways were integrated. The results showed that 1927 DEGs were identified from TCGA and GEO. We found 54 significant pathways of DLBCL using KEGG pathway analysis. By integrating pathways, we identified five overlapping pathways and 47 drugs that affected these pathways. The PPI network analysis results showed that the CDK2 is closely associated with three overlapping pathways (cell cycle, p53 signaling pathway, and small cell lung cancer). The further literature verification results showed that etoposide, rinotecan, methotrexate, resveratrol, and irinotecan have been used as classic clinical drugs for DLBCL. Anisomycin, naproxen, gossypol, vorinostat, emetine, mycophenolic acid and daunorubicin also act on DLBCL. It was found through bioinformatics analysis that paclitaxel in the drug-pathway network can be used as a potential novel drug for DLBCL.