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

The pretreatment Controlling Nutritional Status score is an independent prognostic factor in elderly patients with diffuse large B-cell lymphoma

Predicting prognosis is crucial in older patients with diffuse large B-cell lymphoma (DLBCL). This study evaluated the prognostic impact of the controlling nutritional status (CONUT) score, a simple nutritional index, for older DLBCL patients (≥65 years of age) treated with R-CHOP-like regimens in a retrospective, cohort study including 203 patients. The CONUT score was an independent prognostic factor for overall survival (hazard ratio 1.11, 95% confidence interval (CI) 1.01-1.21, p = 0.032) in a multivariable Cox proportional hazards model. On receiver-operating characteristic analysis, the optimal cutoff value was 3. The CONUT score (≥3 or <3) effectively stratified older DLBCL patients, regardless of the International Prognostic Index (p = 0.71 for interaction). Further, the CONUT score independently affected initial dose intensity (odds ratio 0.84, 95% CI 0.73-0.95, p = 0.008), likely reflecting the patients' status at diagnosis and affecting dose adjustments. In conclusion, the CONUT score is associated with a poorer prognosis in older DLBCL patients.

A Novel Inflammatory-Nutritional Prognostic Scoring System for Patients with Diffuse Large B Cell Lymphoma

Purpose

This study aimed to examine the predictive ability of inflammatory and nutritional markers and further establish a novel inflammatory nutritional prognostic scoring (INPS) system.

Patients and Methods

We collected clinicopathological and baseline laboratory data of 352 patients with DLBCL between April 2010 and January 2023 at the First affiliated hospital of Ningbo University. Eligible patients were randomly divided into training and validation cohorts (n = 281 and 71, respectively) in an 8:2 ratio. We used the least absolute shrinkage and selection operator (LASSO) Cox regression model to determine the most important factors among the eight inflammatory-nutritional variables. The impact of INPS on OS was evaluated using the Kaplan-Meier curve and the Log rank test. A prognostic nomogram was developed based on the multivariate Cox regression method. Then, we used the concordance index (C-index), calibration plot, and time-dependent receiver operating characteristic (ROC) analysis to evaluate the prognostic performance and predictive accuracy of the nomogram.

Results

Seven inflammatory-nutritional biomarkers, including neutrophil-lymphocyte ratio (NLR), prognostic nutritional index (PNI), body mass index (BMI), monocyte-lymphocyte ratio (MLR), prealbumin, C reactive protein, and D-dimer were selected using the LASSO Cox analysis to construct INPS, In the multivariate analysis, IPI-High-intermediate group, IPI-High group, high INPS were independently associated with OS, respectively. The prognostic nomogram for overall survival consisting of the above two indicators showed excellent discrimination. The C-index for the nomogram was 0.94 and 0.95 in the training and validation cohorts. The time-dependent ROC curves showed that the predictive accuracy of the nomogram for OS was better than that of the NCCN-IPI system.

Conclusion

The INPS based on seven inflammatory-nutritional indexes was a reliable and convenient predictor of outcomes in DLBCL patients.

Prognostic and clinicopathological role of geriatric nutritional risk index in patients with diffuse large B-cell lymphoma: A meta-analysis

Background

Previous studies have explored the relationship between the geriatric nutritional risk index (GNRI) and survival outcomes of diffuse large B-cell lymphoma (DLBCL) cases, but the results were inconsistent. Consequently, the present meta-analysis was conducted to investigate how GNRI affects DLBCL and its function in terms of prognosis.

Methods

The Web of Science, PubMed, Embase, and Cochrane Library databases were thoroughly searched until January 18, 2023. We calculated combined hazard ratios (HRs) and 95% confidence intervals (CIs) to estimate the relationship between the GNRI and survival outcomes of patients with DLBCL.

Results

This meta-analysis included seven articles involving 2,353 cases. A lower level of GNRI predicted dismal overall survival (HR=1.40, 95% CI=1.25-1.56, p<0.001) and inferior progression-free survival (HR=1.46, 95% CI=1.19-1.80, p<0.001) of DLBCL patients. Moreover, a low GNRI was significantly related to Eastern Cooperative Oncology Group Performance Status ≥2 (odds ratio [OR]=4.55, 95% CI=2.75-7.54, p<0.001), Ann Arbor stage III-IV (OR=2.91, 95% CI=2.38-3.57, p<0.001), B symptoms (OR=3.51, 95% CI=2.34-5.29, p<0.001), and extranodal disease (OR=2.90, 95% CI=2.32-3.63, p<0.001).

Conclusion

A lower GNRI level predicted poorer short- and long-term prognosis in patients with DLBCL. A low GNRI was correlated with clinical factors of disease progression in DLBCL patients.

Exploring the Relationship between Obesity, Metabolic Syndrome and Neuroendocrine Neoplasms

Obesity is a major burden for modern medicine, with many links to negative health outcomes, including the increased incidence of certain cancer types. Interestingly, some studies have supported the concept of an “Obesity Paradox”, where some cancer patients living with obesity have been shown to have a better prognosis than non-obese patients. Neuroendocrine neoplasms (NENs) are malignancies originating from neuroendocrine cells, in some cases retaining important functional properties with consequences for metabolism and nutritional status. In this review, we summarize the existing evidence demonstrating that obesity is both a risk factor for developing NENs as well as a good prognostic factor. We further identify the limitations of existing studies and further avenues of research that will be necessary to optimize the metabolic and nutritional status of patients living with NENs to ensure improved outcomes.