Clinical risk scores do not accurately identify a very high risk population with diffuse large B cell lymphoma-an analysis of 386 Portuguese patients

Revisiting beta-2 microglobulin as a prognostic marker in diffuse large B-cell lymphoma

BACKGROUND

Several clinical prognostic models for diffuse large B-cell lymphoma (DLBCL) have been proposed, including the most commonly used International Prognostic Index (IPI), the National Comprehensive Cancer Network IPI (NCCN-IPI), and models incorporating beta-2 microglobulin (β2M). However, the role of β2M in DLBCL patients is not fully understood.

METHODS

We identified 6075 patients with newly diagnosed DLBCL treated with immunochemotherapy registered in the Danish Lymphoma Registry.

RESULTS

A total of 3232 patients had data available to calculate risk scores from each of the nine considered risk models for DLBCL, including a model developed from our population. Three of four models with β2M and NCCN-IPI performed better than the International Prognostic Indexes (IPI, age-adjusted IPI, and revised IPI). Five-year overall survival for high- and low-risk patients were 43.6% and 86.4% for IPI and 34.9% and 96.2% for NCCN-IPI. In univariate analysis, higher levels of β2M were associated with inferior survival, higher tumor burden (advanced clinical stage and bulky disease), previous malignancy and increased age, and creatinine levels. Furthermore, we developed a model (β2M-NCCN-IPI) by adding β2M to NCCN-IPI (c-index 0.708) with improved discriminatory ability compared to NCCN-IPI (c-index 0.698, p < 0.05) and 5-year OS of 33.1%, 56.2%, 82.4%, and 96.4% in the high, high-intermediate, low-intermediate and low-risk group, respectively.

CONCLUSION

International Prognostic Indices, except for NCCN-IPI, fail to accurately discriminate risk groups in the rituximab era. β2M, a readily available marker, could improve the discriminatory performance of NCCN-IPI and should be re-evaluated in the development setting of future models for DLBCL.

Overexpression of OCT-1 gene is a biomarker of adverse prognosis for diffuse large B-cell lymphoma (DLBCL): data from a retrospective cohort of 77 Brazilian patients

BACKGROUND

OCT-1 gene is a member of the POU-homeodomain family of transcriptional regulators of B-lymphocyte differentiation by controlling expression of B-cell specific genes. BCL-2 gene is a potent inhibitor of apoptosis and it is essential during B-cell differentiation into germinal center. These genes may be expressed in diffuse large B-cell lymphoma (DLBCL), but the role of BCL-2 in its prognosis has been contradictory, and OCT-1 has yet to be tested.

METHODS

In this study, we aimed to investigate the prognostic impact of OCT-1 and BCL-2 expression in DLBCL treated in the real world with immunochemotherapy in a single center. BCL-2 and OCT-1 genes were available in 78.5% (77/98) DLBCL patients, and the RNA for quantitative real-time PCR was isolated from formalin-fixed paraffin-embedded samples. The values obtained for gene expression were transformed in categorical variable according to their median.

RESULTS

Cohort median age was 54.5 years (15-84), 49 (50%) were male, 38/77 (49.4%) and 40/77 (51.9%) presented OCT-1 and BCL-2 expression ≥ median, respectively. The overall response rate (ORR) in all patients was 68.4% (67/98), 65,3% (64/98) of patients acquired complete response, and 3.1% (3/98) partial response, while 6.1% (6/98) were primary refractory. The median follow-up was 3.77 years (95% CI: 3.2-4.1), with 5.43 (95% CI: 2.2-NR) of overall survival (OS) and 5.15 years (95% CI: 2.9-NA) of progression free survival (PFS). OCT-1 ≥ median was associated with shorter OS at univariate analysis (p = 0.013; [HR] 2.450, 95% CI: 1.21-4.96) and PFS (p = 0.019; [HR] 2.270, 95%CI: 1.14-4.51) and BCL-2 gene overexpression presented worse PFS (p = 0.043, [HR] 2.008, 95% CI: 1.02-3.95). At multivariate analysis, OCT-1 overexpression was associated with poor PFS (p = 0.035, [HR] 2.22, 95% CI: 1.06-4.67).

CONCLUSION

In this study, we showed that overexpression of OCT1 gene was an independent prognostic factor of adverse outcomes in DLBCL.

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.

New biomarkers in non-Hodgkin lymphoma and acute leukemias

Biomarkers play a critical role in the medical care of patients with cancer, including in early detection of the disease, diagnostic accuracy, risk stratification, treatment, and follow-up. Biomarkers in hematological malignancies can support the redefinition of the diagnosis and adjustments in the treatment plan. Biomarkers can be classified into 4 categories: (1) protein antigens, (2) cytogenetic abnormalities, (3) genetic polymorphisms, and (4) gene expression. Efforts in genomics, proteomics, and metabolomics to observe new biomarkers that contribute to the development of clinical medicine with greater precision in the strategies that improve prevention, diagnosis, and treatment of patients with malignant hematological disease. New biomarkers should accomplish several issues such as the biological plausibility, methodology used, analytical validation, intellectual property registry, and legal framework of application. This knowledge should be transferred to health professionals who can carry out the process of its implementation in clinical practice.