[Expression and Clinical Significance of Exosome Component 4 in Newly Diagnosed Patients with Diffuse Large B-Cell Lymphoma].

OBJECTIVE: To explore the expression of Exosome Component 4（EXOSC4） in the tissues of newly diagnosed patients with diffuse large B-cell lymphoma (DLBCL) and its clinical significance. METHODS: The expression of EXOSC4 protein in the tissues of 181 newly diagnosed DLBCL patients was analyzed by immunohistochemical staining. Clinical data were collected. The correlation between EXOSC4 protein expression in the tissues of newly diagnosed DLBCL patients and clinical features were analyzed and its prognostic significance. RESULTS: The positive rate of EXOSC4 protein expression was 68.51% in the tissues of 181 newly diagnosed DLBCL patients. These patients were divided into two groups, with 44 cases in high expression group and 137 cases in low expression group. There were no significant differences in age, gender, B symptoms, serum lactate dehydrogenase (LDH) level, Eastern Cooperative Oncology Group (ECOG) score, Ann Arbor stage, extranodal disease, International Prognostic Index (IPI) score, National Comprehensive Cancer Network IPI (NCCN-IPI) score, and cell origin between the two groups (P>0.05). Cox multivariate regression analysis showed that high EXOSC4 protein expression in tissues was an independent poor prognostic factor for OS and PFS in newly diagnosed DLBCL patients (all P<0.05). K-M survival analysis showed that newly diagnosed DLBCL patients with high EXOSC4 protein expression had significantly shorter overall survival (OS) and progression free survival (PFS) than those patients with low EXOSC4 protein expression (all P<0.05). CONCLUSION: High EXOSC4 protein expression in tissues of newly diagnosed DLBCL patients is an independent poor prognostic factor for survival.

Prognostic indices in diffuse large B-cell lymphoma: a population-based comparison and validation study of multiple models.

Currently, the International Prognostic Index (IPI) is the most used and reported model for prognostication in patients with newly diagnosed diffuse large B-cell lymphoma (DLBCL). IPI-like variations have been proposed, but only a few have been validated in different populations (e.g., revised IPI (R-IPI), National Comprehensive Cancer Network IPI (NCCN-IPI)). We aimed to validate and compare different IPI-like variations to identify the model with the highest predictive accuracy for survival in newly diagnosed DLBCL patients. We included 5126 DLBCL patients treated with immunochemotherapy with available data required by 13 different prognostic models. All models could predict survival, but NCCN-IPI consistently provided high levels of accuracy. Moreover, we found similar 5-year overall survivals in the high-risk group (33.4%) compared to the original validation study of NCCN-IPI. Additionally, only one model incorporating albumin performed similarly well but did not outperform NCCN-IPI regarding discrimination (c-index 0.693). Poor fit, discrimination, and calibration were observed in models with only three risk groups and without age as a risk factor. In this extensive retrospective registry-based study comparing 13 prognostic models, we suggest that NCCN-IPI should be reported as the reference model along with IPI in newly diagnosed DLBCL patients until more accurate validated prognostic models for DLBCL become available.

An Externally Validated Nomogram for Predicting the Overall Survival of Patients With Diffuse Large B-Cell Lymphoma Based on Clinical Characteristics and Systemic Inflammatory Markers.

Background: Systemic inflammatory indicators are clinically significant in guiding diffuse large B-cell lymphoma (DLBCL) prognosis. However, which inflammatory markers are the best predictors of DLBCL prognosis is still unclear. In this study, we aimed to create a nomogram based on the best inflammatory markers and clinical indicators to predict the overall survival of patients with DLBCL. Patients and methods: We analyzed data from 423 DLBCL patients from two institutions and divided them into a training set, an internal validation set, and an external validation set (n = 228, 97, and 98, respectively). The least absolute shrinkage and selection operator and Cox regression analysis were used to develop nomograms. We assessed model fit using the Akaike information criterion and Bayesian information criterion. The concordance index (C-index), calibration curve, receiver operating characteristic (ROC) curve, and decision curve analysis (DCA) were used to assess the nomogram's predictive performance and clinical net benefit and compared with the International Prognostic Index (IPI) and National Comprehensive Cancer Network (NCCN)-IPI. Results: The inclusion variables for the nomogram model were age, Eastern Cooperative Oncology Group performance status, lactate dehydrogenase level, the systemic immune-inflammation index (SII), the prognostic nutritional index (PNI), and ß-2 microglobulin (ß-2 MG) level. In the training cohort, the nomogram showed better goodness of fit than the IPI and NCCN-IPI. The C-index of the nomogram (0.804, 95% CI: 0.751-0.857) outperformed the IPI (0.690, 95% CI: 0.629-0.751) and NCCN-IPI (0.691, 95% CI: 0.632-0.750). The calibration curve, ROC curve, and DCA curve analysis showed that the nomogram has satisfactory predictive power and clinical utility. Similar results were found in the validation cohort. Conclusion: The nomogram integrated with the clinical characteristics and inflammatory markers is beneficial to predict the prognosis of patients with DLBCL.

Construction and validation of prognostic scoring models to risk stratify patients with acquired immune deficiency syndrome-related diffuse large B cell lymphoma.

Acquired immune deficiency syndrome (AIDS)-related diffuse large B cell lymphoma (AR-DLBCL) is a rare disease with a high risk of mortality. There is no specific prognostic model for patients with AR-DLBCL. A total of 100 patients diagnosed with AR-DLBCL were enrolled in our study. Clinical features and prognostic factors for overall survival (OS) and progression-free survival (PFS) were evaluated by univariate and multivariate analyses. Central nervous system (CNS) involvement, opportunistic infection (OI) at lymphoma diagnosis, and elevated lactate dehydrogenase (LDH) were selected to construct the OS model; CNS involvement, OI at lymphoma diagnosis, elevated LDH, and over four chemotherapy cycles were selected to construct the PFS model. The area under the curve and C-index of GZMU OS and PFS models were 0.786/0.712; 0.829/0.733, respectively. The models we constructed showed better risk stratification than International Prognostic Index (IPI), age-adjusted IPI, and National Comprehensive Cancer Network-IPI. Furthermore, in combined cohort, the Hosmer-Lemeshow test showed that the models were good fits (OS: p = 0.8244; PFS: p = 0.9968) and the decision curve analysis demonstrated a significantly better net benefit. The prognostic efficacy of the proposed models was validated independently and outperformed the currently available prognostic tools. These novel prognostic models will help to tackle a clinically relevant unmet need.

A novel prognostic index for diffuse large B-cell lymphoma combined baseline metabolic tumour volume with clinical and pathological risk factors.

OBJECTIVES: This study aimed to develop a novel prognostic index integrating baseline metabolic tumour volume (MTV) along with clinical and pathological parameters for diffuse large B-cell lymphoma (DLBCL). METHODS: This prospective trial enrolled 289 patients with newly diagnosed DLBCL. The predictive value of novel prognostic index was compared with Ann Arbor staging and National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI). We used the concordance index (C-index) and a calibration curve to determine its predictive capacity. RESULTS: Multivariate analysis revealed high MTV (>191 cm 3 ), Ann Arbor stage (III-IV) and MYC/BCL2 double expression lymphoma (DEL) to be independently associated with inferior progression-free survival (PFS) and overall survival (OS). Ann Arbor stage and DEL could be stratified by MTV. Our index, combining MTV with Ann Arbor stage and DEL status, identified four prognostic groups: group 1 (no risk factors,), group 2 (one risk factor), group 3 (two risk factors), and group 4 (three risk factors). The 2-year PFS rates were 85.5, 73.9, 53.6, and 13.9%; 2-year OS rates were 94.6, 87.0, 67.5, and 24.2%, respectively. The C-index values of the novel index were 0.697 and 0.753 for PFS and OS prediction, which was superior to Ann Arbor stage and NCCN-IPI. CONCLUSION: The novel index including tumour burden and clinicopathological features may help predict outcome of DLBCL (clinicaltrials.gov identifier: NCT02928861).

The Geriatric Prognostic Index: a clinical prediction model for survival of older diffuse large B-cell lymphoma patients treated with standard immunochemotherapy.

The International prognostic Index (IPI) is the most widely used clinical prediction model for diffuse large B-cell lymphoma (DLBCL) patients treated with rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone (R-CHOP), but may be suboptimal in older patients. We aimed to develop and externally validate a clinical prediction model for older, RCHOP- treated DLBCL patients by examining geriatric assessment and lymphoma-related parameters in real-world cohorts. A population-based training set of 365 R-CHOP-treated DLBCL patients ≥70 years was identified through the Cancer Registry of Norway. The external test set consisted of a population-based cohort of 193 patients. Data on candidate predictors were retrieved from the Cancer Registry and through review of clinical records. Cox regression models for 2-year overall survival were used for model selection. Activities of daily living, the Charlson Comorbidity Index, age, sex, albumin, stage, Eastern Cooperative Oncology Group performance status and lactate dehydrogenase level were identified as independent predictors and combined into a Geriatric Prognostic Index (GPI). The GPI demonstrated good discrimination (optimismcorrected C-index 0.752), and identified low-, intermediate- and high-risk groups with significantly different survivals (2- year overall survival, 94%, 65%, and 25%, respectively). At external validation, the continuous and grouped GPI demonstrated good discrimination (C-index 0.727 and 0.710, respectively) and the GPI groups had significantly different survivals (2-year overall survival 95%, 65%, and 44%, respectively). Both the continuous and grouped GPI showed better discrimination than the IPI, revised-IPI and National Comprehensive Cancer Network (NCCN)-IPI (C-index 0.621, 0.583, and 0.670, respectively). In conclusion, we have developed and externally validated a GPI for older DLBCL patients treated with R-CHOP that outperformed the IPI, revised-IPI and NCCN-IPI. A web-based calculator is available at https://wide.shinyapps. io/GPIcalculator/.

Will Baseline Total Lesion Glycolysis Play a Role in Improving the Prognostic Value of the NCCN-IPI in Primary Gastric Diffuse Large B-Cell Lymphoma Patients Treated With the R-CHOP Regimen?

PURPOSE: The aim was to explore whether baseline total lesion glycolysis (TLG) can improve the prognostic value of the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI) in primary gastric diffuse large B-cell lymphoma (PG-DLBCL) patients treated with an R-CHOP-like regimen. MATERIALS AND METHODS: Ninety-four PG-DLBCL patients who underwent baseline PET/CT between July 2010 and May 2019 were included in this retrospective study. FDG-avid lesions in each patient were segmented to calculate the SUVmax, total metabolic tumor volume (TMTV), and TLG. Progression-free survival (PFS) and overall survival (OS) were used as end points to evaluate prognosis. RESULTS: During the follow-up period of 5 to 108 months (35.3 ± 23.5 months), high TLG and a high NCCN-IPI were significantly associated with poor PFS and OS. Total lesion glycolysis and the NCCN-IPI were independent predictors of PFS and OS. Patients were stratified into 3 groups according to the combination of TLG and the NCCN-IPI for PFS (P < 0.001) and OS (P < 0.001): high-risk group (TLG > 1159.1 and NCCN-IPI 4-8) (PFS and OS, 57.7% and 61.5%, respectively, n = 42), intermediate-risk group (TLG > 1159.1 or NCCN-IPI 4-8) (PFS and OS, both 76.9%, n = 26), and low-risk group (TLG ≤ 1159.1 and NCCN-IPI 0-3) (PFS and OS, 97.6% and 100.0%, respectively, n = 26). CONCLUSIONS: Both TLG and the NCCN-IPI are independent predictors of PG-DLBCL patient survival. Moreover, the combination of TLG and the NCCN-IPI improved patient risk stratification and might help personalize therapeutic regimens.

piRNA-30473 contributes to tumorigenesis and poor prognosis by regulating m6A RNA methylation in DLBCL.

The initiation and progression of diffuse large B-cell lymphoma (DLBCL) is governed by genetic and epigenetic aberrations. As the most abundant eukaryotic messenger RNA (mRNA) modification, N6-methyladenosine (m6A) is known to influence various fundamental bioprocesses by regulating the target gene; however, the function of m6A modifications in DLBCL is unclear. PIWI-interacting RNAs (piRNAs) have been indicated to be epigenetic effectors in cancer. Here, we show that high expression of piRNA-30473 supports the aggressive phenotype of DLBCL, and piRNA-30473 depletion decreases proliferation and induces cell cycle arrest in DLBCL cells. In xenograft DLBCL models, piRNA-30473 inhibition reduces tumor growth. Moreover, piRNA-30473 is significantly associated with overall survival in a univariate analysis and is statistically significant after adjusting for the National Comprehensive Cancer Network-International Prognostic Index in the multivariate analysis. Additional studies demonstrate that piRNA-30473 exerts its oncogenic role through a mechanism involving the upregulation of WTAP, an m6A mRNA methylase, and thus enhances the global m6A level. Integrating transcriptome and m6A-sequencing analyses reveals that WTAP increases the expression of its critical target gene, hexokinase 2 (HK2), by enhancing the HK2 m6A level, thereby promoting the progression of DLBCL. Together, the piRNA-30473/WTAP/HK2 axis contributes to tumorigenesis by regulating m6A RNA methylation in DLBCL. Furthermore, by comprehensively analyzing our clinical data and data sets, we discover that the m6A regulatory genes piRNA-30473 and WTAP improve survival prediction in DLBCL patients. Our study highlights the functional importance of the m6A modification in DLBCL and might assist in the development of a prognostic stratification and therapeutic approach for DLBCL.

Evaluation of the MD Anderson tumor score for diffuse large B-cell lymphoma in the rituximab era.

OBJECTIVES: Diffuse large B-cell lymphoma (DLBCL) is an aggressive heterogeneous lymphoma with standard treatment. However, 30%-40% of patients still fail, so we should know which patients are candidates for alternative therapies. IPI is the main prognostic score but, in the rituximab era, it cannot identify a very high-risk (HR) subset. The MD Anderson Cancer Center reported a score in the prerituximab era exclusively considering tumor-related variables: Tumor Score (TS). We aim to validate TS in the rituximab era and to analyze its current potential role. METHODS: From GELTAMO DLBCL registry, we selected those patients homogeneously treated with R-CHOP (n = 1327). RESULTS: Five-years PFS and OS were 62% and 74%. All variables retained an independent prognostic role in the revised TS (R-TS), identifying four different risk groups, with 5-years PFS of 86%, 71%, 50%, and very HR (28%). With a further categorization of three variables of the original TS (Ann Arbor Stage, LDH and B2M), we generated a new index that allowed an improvement in HR assessment. CONCLUSIONS: (a) All variables of the original TS retain an independent prognostic role, and R-TS remains predictive in the rituximab era; (b) R-TS and additional categorization of LDH, B2M, and AA stage (enhanced TS) increased the ability to identify HR subsets.

Validation of the NCCN-IPI and the GELTAMO-IPI for diffuse large B-Cell lymphoma treated with R-CHOP in a large cohort of patients from a single institution.

The discriminative power of International Prognostic Index (IPI) in diffuse large B-cell lymphoma (DLBCL) decreased with the addition of rituximab to chemotherapy. The National Comprehensive Cancer Network (NCCN)-IPI and the Grupo Español de Linfomas y Trasplante Autólogo de Médula Ósea (GELTAMO)-IPI were developed to improve the risk prediction for DLBCL patients. We aim to validate the NCCN-IPI and GELTAMO-IPI in a large and homogeneous cohort of 337 DLBCL patients treated with curative intent with R-CHOP/R-CHOP-like immunochemotherapy. The IPI stratifies patients in two independent risk groups and the estimated 5-year overall survival (OS) of the high-risk (HR) group was 43%. NCCN-IPI discriminated four risk groups and GELTAMO-IPI three risk groups of patients. The predicted 5-year OS of the HR group was 38% and 29%, respectively. NCCN-IPI and GELTAMO-IPI are more accurate prognostic indices than IPI in DBLCL patients treated with immunochemotherapy. GELTAMO-IPI demonstrated enhanced discrimination than NCCN-IPI for the higher-risk population.

A case report of primary prostate intravascular large B cell lymphoma presenting as prostatic hyperplasia.

RATIONAL: Intravascular large B-cell lymphoma (IVLBCL) is a rare condition with a poor prognosis. The clinical presentation of primary lymphoma of the prostate is non-specific and it is difficult to distinguish from other prostatic diseases. The primary prostate IVLBCL is very rare, the diagnosis and treatment of which remains unclear. We reported a rare case to explore the diagnosis and treatment for the primary prostate IVLBCL. PATIENTS CONCERNS: This report described a case of a 71-year-old male diagnosed as primary prostate IVLBCL who presented with prostatic hyperplasia. DIAGNOSIS: The patient first visited an outpatient clinic of urinary surgery because of urinary urgency and frequency and was diagnosed as benign prostatic hyperplasia in about January 2010. Four years later, the symptoms worsened quickly within two months. The diagnosis was still prostatic hyperplasia according to the physical examination and imaging. However, histopathology showed IVLBCL of prostate after transurethral resection of the prostate. INTERVENTIONS: With the clear diagnosis of primary prostate stage I IVLBCL, the patient received immunochemotherapy of R-CHOP (rituximab, cyclophosphamide, adriamycin, vincristine, and prednisolone) for 4 cycles and intensity-modulated radiation therapy (IMRT) including the region of prostate with the dose of 45Gy/25f. OUTCOMES: The response was complete remission after all treatment. The last follow-up time of the patient was June 20th, 2019, and no evidence of disease progression was observed. The progression-free survival of the patient was about 49 months until now. LESSONS: The biopsy of prostate by prostatectomy plays an important role in the diagnosis and removal of the original lesion of primary prostate lymphoma. There is no consensus on therapeutic modalities for the treatment of primary prostate IVLBCL till now. Individual treatments include immunochemotherapy and/or radiotherapy according to the National Comprehensive Cancer Network (NCCN) practice guideline of diffuse large B cell lymphoma (DLBCL) based on the performance status and tumor staging of the patient. Timely and accurate diagnosis as well as the appropriate treatment may improve the clinical outcome.

Useful prognostic tools based on complete blood cell counts in diffuse large B-cell lymphoma.

INTRODUCTION: Diffuse large B-cell lymphoma (DLBCL) is the most frequent lymphoma. Three prognostic factors are widely used in DLBCL: International Prognostic Index (IPI), Revised-IPI (R-IPI), and National Comprehensive Cancer Network-IPI (NCCN-IPI). METHOD: We established a prognostic model using peripheral blood absolute lymphocyte/absolute monocyte counts ratio (LMR), hemoglobin, and platelet counts obtained from complete blood cell counts (CBC) data at diagnosis based on 214 cases of DLBCL who received more than one course of R-CHOP therapy at a single institution. RESULTS: The cutoff values for using the receiver operating characteristics (ROC) curve for LMR, hemoglobin, and platelet counts were 1.6, 100 g/L, and 150 × 109 /L, respectively. Stratification was performed using the three factors (LMR < 1.6, hemoglobin < 100 g/L, and platelet counts < 150 × 109 /L). CBC Group 1 (none of the 3 factors) included 92 cases, CBC Group 2 (1 or 2 of these factors) included 108 cases, and CBC Group 3 (all 3 factors) included 11 cases. The 5-year OS rates were 78.2%, 60.9%, and 10.1%, respectively. In multivariate analysis, CBC Group 3 (hazard ratio, 2.9760; 95% confidence interval, 1.2670-6.991; P = .01) were prognostic factors for OS. CBC Group 3 had factors based on which the further stratification of the poor prognosis group into IPI high-risk and R-IPI poor-risk groups (P = .01, <.0001, respectively) was possible. CONCLUSIONS: In DLBCL, combination of three CBC parameters has the potential to be a useful prognostic tool.

Diagnosis and Management of Cutaneous B-Cell Lymphomas.

Primary cutaneous B-cell lymphomas are a group of diseases with indolent and aggressive behavior. The goal of the initial workup is to evaluate for systemic involvement, provide adequate staging, and guide therapy. Histopathological studies are a critical part of the workup for classification of these lymphomas because they are similar to their nodal counterparts. There are limited data for treatment guidelines, and thus, therapy differs among institutions. Overall, localized therapies are preferred for indolent types and chemotherapy or immunotherapy for the aggressive forms.

High Red Cell Distribution Width is an Adverse Predictive and Prognostic Factor in Patients With Diffuse Large B-Cell Lymphoma Treated With Chemoimmunotherapy.

INTRODUCTION: The red blood cell distribution width (RDW) is an easy-to-obtain laboratory value that has emerged as a potential prognostic factor in solid and hematologic malignancies. PATIENTS AND METHODS: We evaluated 121 patients with de novo diffuse large B-cell lymphoma (DLBCL) treated with standard chemoimmunotherapy at our institution between 2010 and 2012. We categorized patients with high RDW (> 14.6%) and normal RDW (11.6%-14.6%). We fitted multivariate regression models for complete response (CR) and overall survival (OS). RESULTS: Patients with high RDW were less likely to achieve CR to chemoimmunotherapy than patients with normal RDW (48% vs. 83%; P < .001). The 5-year OS rate for patients with high RDW was lower than in patients with normal RDW (51% vs. 79%; P = .001). In multivariate regression models, high RDW was independently associated with lower odds of achieving CR (odds ratio, 0.32; 95% confidence interval [CI], 0.12-0.83; P = .02) and with higher risk of death from any cause (hazard ratio [HR], 2.04; 95% CI, 1.03-4.02; P = .04) than normal RDW in patients with DLBCL treated with chemoimmunotherapy. High RDW remained an independent adverse factor for OS after adjustment for the International Prognostic Index and the National Comprehensive Cancer Network-International Prognostic Index scores with HR 2.20 (95% CI, 1.12-4.31; P = .02) and HR 2.67 (95% CI 1.28-5.59; P = .009), respectively. CONCLUSION: High RDW appears to be an adverse predictive and prognostic factor in patients with de novo DLBCL treated with R-CHOP (rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone).

A better prediction of progression-free survival in diffuse large B-cell lymphoma by a prognostic model consisting of baseline TLG and %ΔSUVmax.

In the era of rituximab, the International Prognostic Index (IPI) has been inefficient in initial risk stratification for patients with R-CHOP-treated diffuse large B-cell lymphoma (DLBCL). To estimate the predictive values of PET/CT quantitative parameters and three prognostic models consisting of baseline and interim parameters for three-year progression-free survival (PFS), we conducted an analysis of 85 patients in China with DLBCL underwent baseline and interim PET/CT scans and treated at the Department of Hematology of Peking University Third Hospital from November 2012 to November 2017. The PET/CT parameters, viz. the baseline and interim values of standardized uptake value (SUVmax ), total metabolic tumor volume (TMTV), and total lesion glycolysis (TLG), and their rates of change, were analyzed by a receiver operating characteristics curve, Kaplan-Meier analysis, and log-rank test. Besides, the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI) was also included in the multivariate Cox hazards model. Owing to the strong correlation between TMTV and TLG at baseline and interim (Pearson's correlation coefficient, r = 0.823, P-value = 0.000, and 0.988, P-value = 0.000, respectively), only TLG was included in the multivariate Cox hazards model, where TLG0  > 1036.61 g and %ΔSUVmax  < 86.02% showed predictive value independently (HR = 10.42, 95% CI 2.35-46.30, P = 0.002, and HR = 4.86, 95% CI 1.27-18.54, P = 0.021, respectively). Replacing TLG in the equation, TMTV0 and TMTV1 both showed significantly predictive abilities like TLG (HR = 8.22, 95% CI 1.86-32.24, P = 0.005, and HR = 2.96, 95% CI 1.16-7.54, P = 0.023, respectively). After dichotomy, NCCN-IPI also gave a significant performance (P = 0.035 and P = 0.010, respectively, in TLG and TMTV models). The baseline variables, that is, TMTV0 , TLG0 and dichotomized NCCN-IPI, and the interim variables TMTV1 and %ΔSUVmax , presented independent prognostic value for PFS. In prognostic model 2 (TLG0  + %ΔSUVmax ), the group with TLG0  > 1036.61 g and %ΔSUVmax  < 86.02% recognized 19 (82.6%) of the relapse or progression events, which showed the best screening ability among three models consisting of baseline and interim PET/CT parameters.

Prevalence and clinical significance of hypercalcemia at diagnosis in diffuse large B-cell lymphoma.

The reported prevalence of hypercalcemia at diagnosis in non-Hodgkin-lymphoma ranges between 1.3% and 7.4%. These studies included all patients, regardless of lymphoma subtype. We performed a retrospective case-control study to determine the prevalence of hypercalcemia at time of diagnosis in patients with diffuse large B-cell lymphoma (DLBCL). Among 250 newly diagnosed patients, 46 (18%) had hypercalcemia. When compared with age-sex matched patients and normal calcium levels, those with hypercalcemia had higher levels of LDH, lower levels of albumin and more advanced stage. These differences were translated to shorter progression-free-survival and overall survival, but only in patients with hypercalcemia and low levels of parathyroid hormone (PTH). These findings suggest that in newly diagnosed patients with DLBCL, hypercalcemia is more frequent than previously appreciated. Furthermore, lymphoma-related but not primary hyperparathyroidism-related hypercalcemia is associated with adverse prognostic factors and adverse clinical outcomes in DLBCL. Hence, PTH should be obtained in patients with DLBCL and hypercalcemia at diagnosis.

Available prognostic models for risk stratification of diffuse large B cell lymphoma patients: a systematic review.

The International Prognostic Index (IPI) has been used for risk stratification for a long time in diffuse large B cell lymphoma (DLBCL). Based on new clinical and biological prognostic markers, many new prognostic models have been described. This review aims to present the progress in development and validation of these prognostic models. A comprehensive literature review was performed to identify studies that proposed a new prognostic model in DLBCL. A total of 38 studies met the inclusion criteria. The IPI, revised IPI (R-IPI), and National Comprehensive Cancer Network (NCCN)-IPI were the most studied prognostic indexes, externally validated and commonly used to compare to other models. Despite an increasing number of prognostic models have been proposed lately, most of them lack external validation. Further studies, that combine biological and clinical markers with prognostic significance, are needed to determine the optimal prognostic tool for more personalized treatment approach to DLBCL patients.

Geriatric nutritional risk index as a prognostic factor in patients with diffuse large B cell lymphoma.

The geriatric nutritional risk index (GNRI) is a simple and well-established nutritional assessment tool that is a significant prognostic factor for various cancers. However, the role of the GNRI in predicting clinical outcomes of diffuse large B cell lymphoma (DLBCL) patients has not been investigated. To address this issue, we retrospectively analyzed a total of 476 patients with newly diagnosed de novo DLBCL. We defined the best cutoff value of the GNRI as 96.8 using a receiver operating characteristic curve. Patients with a GNRI < 96.8 had significantly lower overall survival (OS) and progression-free survival (PFS) than those with a GNRI ≥ 96.8 (5-year OS, 61.2 vs. 84.4%, P < 0.001; 5-year PFS, 53.7 vs. 75.8%, P < 0.001). Multivariate analysis showed that performance status, Ann Arbor stage, serum lactate dehydrogenase, and GNRI were independent prognostic factors for OS. Among patients with high-intermediate and high-risk by National Comprehensive Cancer Network-International Prognostic Index (NCCN-IPI), the 5-year OS was significantly lower in patients with a GNRI < 96.8 than in those with a GNRI ≥ 96.8 (high-intermediate risk, 59.5 vs. 75.2%, P = 0.006; high risk, 37.4 vs. 64.9%, P = 0.033). In the present study, we demonstrated that the GNRI was an independent prognostic factor in DLBCL patients. The GNRI could identify a population of poor-risk patients among those with high-intermediate and high-risk by NCCN-IPI.

Optimizing Outcome Prediction in Diffuse Large B-Cell Lymphoma by Use of Machine Learning and Nationwide Lymphoma Registries: A Nordic Lymphoma Group Study.

PURPOSE: Prognostic models for diffuse large B-cell lymphoma (DLBCL), such as the International Prognostic Index (IPI) are widely used in clinical practice. The models are typically developed with simplicity in mind and thus do not exploit the full potential of detailed clinical data. This study investigated whether nationwide lymphoma registries containing clinical data and machine learning techniques could prove to be useful for building modern prognostic tools. PATIENTS AND METHODS: This study was based on nationwide lymphoma registries from Denmark and Sweden, which include large amounts of clinicopathologic data. Using the Danish DLBCL cohort, a stacking approach was used to build a new prognostic model that leverages the strengths of different survival models. To compare the performance of the stacking approach with established prognostic models, cross-validation was used to estimate the concordance index (C-index), time-varying area under the curve, and integrated Brier score. Finally, the generalizability was tested by applying the new model to the Swedish cohort. RESULTS: In total, 2,759 and 2,414 patients were included from the Danish and Swedish cohorts, respectively. In the Danish cohort, the stacking approach led to the lowest integrated Brier score, indicating that the survival curves obtained from the stacking model fitted the observed survival the best. The C-index and time-varying area under the curve indicated that the stacked model (C-index: Denmark [DK], 0.756; Sweden [SE], 0.744) had good discriminative capabilities compared with the other considered prognostic models (IPI: DK, 0.662; SE, 0.661; and National Comprehensive Cancer Network-IPI: DK, 0.681; SE, 0.681). Furthermore, these results were reproducible in the independent Swedish cohort. CONCLUSION: A new prognostic model based on machine learning techniques was developed and was shown to significantly outperform established prognostic indices for DLBCL. The model is available at https://lymphomapredictor.org .

Is it possible to improve prognostic value of NCCN-IPI in patients with diffuse large B cell lymphoma? The prognostic significance of comorbidities.

The prognostic value of the International Prognostic Index (IPI) has been re-evaluated in the rituximab-treated diffuse large B cell lymphoma (DLBCL) patients. Accordingly, National Comprehensive Cancer Network-IPI (NCCN-IPI) has been introduced to estimate prognosis of DLBCL patients. However, comorbidities that frequently affect elderly DLBCL patients were not analyzed. The aim of this study was to evaluate the prognostic significance of comorbidities using Charlson Comorbidity Index (CCI) in 962 DLBCL patients. According to CCI, majority of patients (73.6%) did not have any comorbidity, while high CCI (≥ 2) was observed in 71/962 (7.4%) patients, and in 55/426 (12.9%) of the elderly patients aged ≥ 60 years. When the CCI was analyzed in a multivariate model along with the NCCN-IPI parameters, it stood out as a threefold independent risk factor of a lethal outcome. Also, we have developed a novel comorbidity-NCCN-IPI (cNCCN-IPI) by adding additional 3 points if the patient had a CCI ≥ 2. Four risk groups emerged with the following patient distribution in low, low-intermediate, high-intermediate, and high group: 3.4, 34.3, 49.4, and 12.5%, respectively. The prognostic value of the new cNCCN-IPI was 2.1% improved compared to that of the IPI, and 1.3% improved compared to that of the NCCN-IPI (p < 0.05). This difference was more pronounced in elderly patients, in whom the cNCCN-IPI showed a 5.1% better discriminative power compared to that of the IPI, and 3.6% better compared to the NCCN-IPI. The NCCN-IPI enhanced by the CCI and combined with redistributed risk groups is better for differentiating risk categories in unselected DLBCL patients, especially in the elderly.