Can body mass index predict the outcome of diffuse large B-cell lymphoma? A single-center retrospective study in China

A concise prognostic score system for diffuse large B-cell lymphoma: a retrospective study with long-term follow-up

Aim: To identify risk factors and establish a concise prognostic scoring system in patients with diffuse large B-cell lymphoma (DLBCL). Methods: A total of 131 DLBCL patients were enrolled with long-term follow-up who were treated in Shengjing Hospital of the China Medical University. The relationship between clinical parameters and outcomes was analyzed. Results: Multivariate analysis showed that patient age, BMI, CA125 and rituximab application were independent risk factors. Thereafter, a concise scoring system was established, and the new system could identify high-risk patients (p < 0.0001). The patients were divided into three groups: low-risk, medium-risk and high-risk groups. There were significant differences among different groups on overall survival and progression-free survival by log-rank test (p < 0.05). Conclusion: Old age, low BMI, high CA125 and no rituximab application were independent risk factors for DLBCL. The new established prognostic score system, which includes all the risk factors, could identify high-risk patients.

The Prognostic Impact of Body Mass Index in Patients with Diffuse Large B-Cell Lymphoma: A Meta-Analysis

OBJECTIVE

Some studies on the relation between body mass index (BMI) and outcome of diffuse large B-cell lymphoma (DLBCL) remain controversial. We performed a meta-analysis to evaluate the overall survival (OS) and progression-free survival (PFS) of DLBCL in overweight (≥25 to <30 kg/m²), obese (≥30 kg/m²) and underweight (<18.5 kg/m²) individuals compared with normal weight patients (≥18.5 to <25 kg/m²).

METHODS

PubMed, Web of Science, EMBASE and the Cochrane Library databases were searched to identify relevant studies before February 20, 2020. The summary hazard ratio (HR) and 95% confidence interval (CI) were used for analyzing survival outcomes.

RESULTS

Fourteen articles involving 8,753 subjects were included. The pooled analysis indicated that OS of overweight group (HR = 0.86, 95% CI: 0.78-0.95, P = 0.002) was better than of normal weight group, but no association was found in obese patients (HR = 1.11, 95% CI: 0.81-1.53, P = 0.501). Similarly, obese and overweight status had no significant impact on PFS in DLBCL. Underweight patients had poorer OS (HR = 1.99, 95% CI: 1.45-2.74, P < 0.001) and PFS (HR = 1.78, 95% CI: 1.12-2.83, P = 0.014) compared with normal weight group.

CONCLUSION

Overweight patients have a better survival than normal weight patients, while underweight patients have a poorer survival in DLBCL.

Clinical impact of controlling nutritional status score on the prognosis of patients with diffuse large B-cell lymphoma

The controlling nutritional status (CONUT) score is a nutritional index calculated from serum albumin and total cholesterol levels and lymphocyte counts. Its role in predicting clinical outcomes of diffuse large B-cell lymphoma (DLBCL) has not been evaluated. In this retrospective study, data from 476 patients with DLBCL were analyzed. The cutoff value of the CONUT score was set as 4. CONUT score significantly stratified the overall survival (OS) and the progression-free-survival (PFS) (5-year OS, 49.0% vs 83.2%, P < .001; 5-year PFS, 46.1% vs 73.1%, P < .001) of the patients. Among patients at high-intermediate or high risk, as per the National Comprehensive Cancer Network International Prognostic Index (NCCN-IPI), 5-year OS was lower in patients with high CONUT scores than in those with low CONUT scores (high-intermediate risk, 51.2% vs 75.5%, P < .001; high risk, 29.9% vs 63.3%, P = .007). Additionally, in patients with high CONUT scores, maintenance of relative dose intensity (RDI) of chemotherapy did not affect the 5-year OS (RDI > 80% vs RDI ≤ 80%: 59.8% vs 50.9%, P = .73). In the present study, we have demonstrated that the CONUT score is an independent prognostic factor in patients with DLBCL.

Body mass index at diagnosis is associated with survival outcome in peripheral T-cell lymphoma: a study of Chinese population

OBJECTIVE

Obesity increases the risk for many diseases, including some malignancies. We found that in diffuse large B-cell lymphoma, the most common form of non-Hodgkin's lymphoma, patients with higher body mass index had significantly longer overall survival. Patients with peripheral T-cell lymphoma usually have worse outcomes than those with diffuse large B-cell lymphoma. Nonetheless, the association between body mass index at diagnosis and survival in patients with peripheral T-cell lymphoma remains unclear.

METHODS

This retrospective study included 411 peripheral T-cell lymphoma patients from January 2010 to July 2017. Patients were stratified by body mass index into low body mass index (<24.0 kg/m2) and high body mass index (≥24.0 kg/m2) groups. We mainly used Cox modelling and the Kaplan-Meier method to evaluate survival and other variables.

RESULTS

Multivariate analysis demonstrated that body mass index, international prognostic index and triglyceride level were independent prognostic factors of overall survival. Interestingly, patients with high body mass index had significantly longer overall survival (P < 0.01), with 69% of patients alive at 3 years versus 43% in the low body mass index group. Cox analysis showed reduced mortality in the high body mass index group compared with the low body mass index group (hazard ratio = 0.511, 95% CI, 0.309-0.846, P = 0.009). In addition, patients with high body mass index and low international prognostic index had the longest overall survival (P < 0.001).

CONCLUSIONS

High body mass index at the time of diagnosis was associated with improved overall survival in Chinese peripheral T-cell lymphoma patients.

Treatment approaches for older and oldest patients with diffuse large B-cell lymphoma - Use of non-R-CHOP alternative therapies and impact of comorbidities on treatment choices and outcome: A Humedica database retrospective cohort analysis, 2007-2015

INTRODUCTION

We characterized real-world treatment patterns in older (65-74 years) and oldest (75-85 years) patients with diffuse large B-cell lymphoma (DLBCL) receiving initial therapy (R-CHOP, non-R-CHOP regimens). Impact of comorbidities on treatment choice, and overall and progression-free survival (OS, PFS) were assessed by age.

PATIENTS AND METHODS

Using the Humedica database, we identified 1436 newly diagnosed patients with DLBCL who received frontline therapy from 1/07-9/15. The 885 patients ≥65 years of age were further evaluated for baseline demographics, comorbidities, initial therapy, and PFS/OS.

RESULTS

Of 885 patients, 406 (45.9%) were age 65-74, and 479 (54.1%) age 75-85, years. First line therapy was R-CHOP (61.8%) or non-R-CHOP (38.2%). Although Charlson Comorbidity Index (CCI) scores were similar at baseline, congestive heart failure and myocardial infarction were more common in those receiving non-R-CHOP regimens. Survival outcomes were superior for those receiving initial R-CHOP, versus non-R-CHOP, therapy (median PFS 53.9 versus 27.8 months; two-year PFS 71.2% versus 51.6%, p < .0001; median OS not reached versus 45 months; two-year OS 81.3% versus 62.9%, p < .0001, respectively). Only 10.4% (R-CHOP) and 12.1% (non-R-CHOP) of patients received second line therapies. Two-year OS by age (65-74, 75-85 years) was 66.4% and 39.1%, respectively with R-CHOP (p = .0045), and 74.3% and 54.5%, respectively with non-R-CHOP (p = .004), therapy. Age ≥ 75 years and CCI of 2+ were associated with shorter OS and PFS.

CONCLUSIONS

This study identified real-world first line treatment patterns for older patients with DLBCL. Our findings support the feasibility of administering standard R-CHOP therapy, even to oldest patients with DLBCL.

Predictors of metabolic response in propensity-matched lymphoma patients on interim 18F-fluorodeoxyglucose positron-emission tomography/computed tomography using standardized imaging and reporting protocol: Do we really have one?

The purpose of this prospective study was to determine metabolic response predictor(s) in propensity-matched patients having lymphomas who had baseline and interim ¹⁸fluorodeoxyglucose (FDG) positron-emission tomography/computed tomography (PET/CT) using strict standardized imaging and reporting protocols. This prospective study was conducted at PET/CT section of a JCI-accredited healthcare facility from April 2017 to February 2018. Patients with baseline and interim ¹⁸FDG PET/CT scans using standardized protocol were selected. Interim scans were performed not earlier than 2^nd or later than 4^th chemotherapy. During the study period, 97 of 112 consecutive patients with lymphomas (Hodgkin-HL: 32/97 and Non-Hodgkin-NHL: 65/97) were included in the study. Mean age of cohort was 45 ± 19 years (71% male and 29% female) having a mean body mass index (BMI) of 25.57 ± 5.54 Kg/m² having Stage I (21%), Stage II (18%), Stage III (16%), and Stage IV (45%) disease. Bulky disease was found in 14% and ¹⁸FDG-avid marrow deposits in 33%. Standardized PET/CT imaging protocol as per EANM guidelines was strictly adopted for baseline and interim studies. %Δ changes in fasting blood sugar, ¹⁸FDG dose, uptake time, and liver SUV mean were 3.96%, 2.83%, 2.49%, and 12.15%, respectively. Based on Deauville's scoring, cohort was divided into responders having Score 1-3 (49/97) and nonresponders having Score 4-5 (48/97). The demographic analysis found no significant difference between responders and nonresponders for age, gender, BMI, staging, bulky disease or marrow involvement, and study protocol. No significant coefficient or odd ratios were found on multivariate analysis for age, gender, maximum standardized uptake value (SUV_max), size, BMI, NHL, and advance disease (Stage III and IV) in both groups (χ²: 5.12; receiver operating characteristic [95% confidence interval]: 0.616 [0.51-0.713]; P =0.528). Among responders, baseline SUV_max and tumor size had a direct correlation with a metabolic response on iPET, more pronounced in NHL than HL groups (SUV_max: 13.4 vs. 19.5 and size: 52 vs. 87 mm; P < 0.0001). We conclude that no significant predictor was found for response in propensity-matched patients with lymphomas (both HL and NHL) who had baseline and interim PET/CTs acquired with a standardized protocol. However, NHL responders were found to have higher baseline median SUV_max and larger lesion size as compared to HL responders. Although, these data are not in concordance with published findings but need to be validated with larger studies using standardized imaging and reporting protocols in propensity-matched patients with lymphomas.

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.