Albumin improves stratification in the low IPI risk patients with diffuse large B-cell lymphoma

Prognostic value of lactate dehydrogenase, serum albumin and the lactate dehydrogenase/albumin ratio in patients with diffuse large B-cell lymphoma

OBJECTIVE

To investigate the prognostic value of lactate dehydrogenase (LDH), serum albumin (ALB) and the lactate dehydrogenase/albumin ratio (LAR) in diffuse large B-cell lymphoma (DLBCL) before primary treatment.

METHODS

The clinical data of 212 primary adult DLBCL patients admitted to the First People's Hospital of Lianyungang from January 2017 to December 2022 were analyzed retrospectively. The optimal cutoff values of LDH, ALB, and LAR were determined using ROC curves. Survival curves of LDH, ALB, and LAR were plotted and analyzed using the Cox regression model and Kaplan-Meier method with the log-rank test.

RESULTS

Among the 212 patients admitted, the study derived the optimal cutoff values for ALB, LDH, and LAR as 38, 301, and 6, respectively. The Kaplan-Meier method and log-rank test analysis indicated a significant association between lower ALB levels, elevated LDH levels, elevated LAR levels, and shorter overall survival (OS) and progression-free survival (PFS) (P < 0.05). Additionally, the critical values of ALB and LDH were grouped into three categories. The differences in OS and PFS among these three groups were statistically significant (P < 0.05). Cox multifactorial analysis revealed that the LAR was an independent factor influencing the prognosis of OS and PFS, with a higher prognostic value than LDH and ALB alone.

CONCLUSION

Decreased ALB levels and elevated LDH and LAR levels at the time of initial diagnosis are indicative of a poor prognosis in DLBCL patients. Furthermore, the study highlighted that the LAR has a higher prognostic value than LDH and ALB alone.

Development and validation of a novel risk stratification model and a survival rate calculator for diffuse large B-cell lymphoma in the rituximab era: a multi-institutional cohort study

BACKGROUND

This study aimed to develop and validate a novel risk stratification model and a web-based survival rate calculator to improve discriminative and predictive accuracy for diffuse large B-cell lymphoma (DLBCL) in the rituximab era.

METHODS

We retrospectively collected pre-treatment data from 873 primary DLBCL patients who received R-CHOP-based immunochemotherapy regimens at the Cancer Hospital, Chinese Academy of Medical Sciences, from January 1, 2005, to December 31, 2018. An independent cohort of 175 DLBCL patients from Fujian Cancer Hospital was used for external validation.

FINDINGS

Age, ECOG PS, number of extranodal sites, Ann Arbor stage, bulky disease, and LDH levels were screened to develop the nomogram and web-based survival rate calculator. The C-index of the nomogram in the training, internal validation, and external validation cohorts was 0.761, 0.758, and 0.768, respectively. The risk stratification model generated based on the nomogram effectively stratified patients into three distinct risk groups. K-M survival curves demonstrated that the novel risk stratification model exhibited a superior level of predictive accuracy compared to IPI, R-IPI, and NCCN-IPI both in training and two validation cohorts. Additionally, the area under the curve (AUC) value of the novel model (0.763) for predicting 5-year overall survival rates was higher than those of IPI (0.749), R-IPI (0.725), and NCCN-IPI (0.727) in the training cohort. Similar results were observed in both internal and external validation cohort.

CONCLUSIONS

In conclusion, we have successfully developed and validated a novel risk stratification model and a web-based survival rate calculator that demonstrated superior discriminative and predictive accuracy compared to IPI, R-IPI, and NCCN-IPI in the rituximab era.

Validation and modification of simplified Geriatric Assessment and Elderly Prognostic Index: Effective tools for older patients with diffuse large B-cell lymphoma

Geriatric assessment can aid in optimizing treatment strategies and supportive interventions for older patients with diffuse large B-cell lymphoma (DLBCL). Fondazione Italiana Linformi has recently introduced novel geriatric assessment tools, simplified Geriatric Assessment (sGA) and Elderly Prognostic Index (EPI), aimed at tailoring the treatment and predicting the outcomes for older patients with DLBCL. The objectives of this study are the validation and possible modification of the sGA and EPI in China. In the study, both sGA and EPI demonstrated the predictive capabilities for overall survival (OS) and early mortality (both p < 0.05) in older individuals with DLBCL. Albumin, serving as an independent predictive biomarker for OS (p = 0.006), was utilized to adjust the measurements, resulting in the establishment of sGA-A and EPI-A. The sGA-A effectively addressed the shortcomings of the sGA and EPI in predicting PFS and surpassed them in predicting OS and early mortality. Nevertheless, there is insufficient evidence to support the use of sGA and EPI as treatment guidance tools. In conclusion, the modified sGA-A model proved to be a successful instrument for geriatric assessment of older patients with DLBCL.

Pretreatment C-reactive protein-to-albumin ratio predicts clinical outcomes in patients with peripheral T-cell lymphoma

PURPOSE

Peripheral T-cell lymphoma (PTCL) is an aggressive and heterogenous T-cell lymphoid malignancy. The prognostic value of C-reactive protein-to-albumin ratio (CAR) has never been assessed in PTCL.

MATERIALS AND METHODS

This study retrospectively reviewed the medical records of 76 patients diagnosed with various subtypes of PTCL. A CAR cutoff value of 0.794 was determined, and clinical outcomes, including response rate, overall survival (OS), and progression-free survival (PFS), were compared between the high (> 0.794) and low (≤ 0.794) CAR groups.

RESULTS

After induction therapy, complete response was achieved in 8 (32.0%) and 39 patients (76.5%) in the high and low CAR groups, respectively. During the median follow-up of 57.5 months, the high CAR group had significantly worse 5-year PFS and 5-year OS rates. Even with adjustment for the International Prognostic Index (≥ 3), Prognostic Index for PTCL-unspecified (≥ 3), and T cell score (≥ 2), high CAR remained a significant prognostic factor for PFS (hazard ratio [HR]: 4.01, 95% confidence interval [CI] 2.04-7.86, p < 0.001) and OS (HR: 2.97, 95% CI: 1.33-6.64, p = 0.008).

CONCLUSION

CAR may play a complementary role in predicting prognosis in patients with PTCL, considering its simplicity, objectivity, and easy accessibility.

TRAIL Score: A Simple Model to Predict Immunochemotherapy Tolerability in Patients With Diffuse Large B-Cell Lymphoma

PURPOSE

Rituximab with cyclophosphamide, doxorubicin, vincristine, and prednisolone (R-CHOP) represents the standard of care for first-line treatment of diffuse large B-cell lymphoma (DLBCL). However, many patients are unable to tolerate R-CHOP and have inferior outcomes. This study aimed to develop a practical tool to help physicians identify patients with newly diagnosed DLBCL unlikely to tolerate a full course of R-CHOP.

METHODS

We developed a predictive model (Tolerability of R-CHOP in Aggressive Lymphoma [TRAIL]) on the basis of a training data set from the phase III GOYA trial (obinutuzumab with CHOP v R-CHOP in 1L DLBCL) using a composite binary end point, identifying patients who prematurely stopped or required reductions of R-CHOP. Candidate predictive variables were selected on the basis of known baseline characteristics that contribute to patient frailty, comorbidity, and/or chemotherapy toxicity. TRAIL was developed using an iterative trial-and-error modeling process to fit a logistic regression model. The final model was evaluated for robustness using a GOYA holdout data set and the phase III MAIN (R-CHOP with or without bevacizumab in 1L DLBCL) R-CHOP-21 data set as external validation.

RESULTS

TRAIL includes four simple predictors available in the routine clinical setting: Charlson Comorbidity Index, presence of cardiovascular disease or diabetes, serum albumin, and creatinine clearance. Model generalization performance estimated by the area under the curve was around or above 0.70 across GOYA training, GOYA holdout, and MAIN data sets. Classifying patients into low-, intermediate- and high-risk categories, the proportion of patients experiencing a tolerability event was 3.3%, 12.4%, and 32.9%, respectively, in GOYA holdout, and 9.7%, 9.7%, and 34.2%, respectively, in MAIN.

CONCLUSION

TRAIL may be useful as a clinical decision support tool for treatment decisions in patients with DLBCL who may not tolerate standard chemoimmunotherapies.

Prognostic Role of Serum Albumin Level in Patients with Lymphoma Undergoing Autologous Stem Cell Transplantation

BACKGROUND High-dose chemotherapy followed by autologous stem cell transplantation (HDT/ASCT) plays a crucial role in the therapy of patients with lymphoma. This retrospective study aimed to analyze prognostic factors in patients undergoing HDT/ASCT for lymphoma. MATERIAL AND METHODS We included patients with lymphoma who underwent HDT/ASCT at our center. Time-to-event outcomes, including progression-free survival (PFS) and overall survival (OS), were analyzed with the Kaplan-Meier method and log-rank test. Receiver operating characteristic (ROC) curve analysis and Cox proportional hazard regression analysis were performed to explore the prognostic value of different factors. RESULTS A total of 113 patients with lymphoma were included. Patients with low serum albumin levels (<37 g/L) before transplantation had significantly lower PFS and OS (P<0.01). Albumin levels before transplantation significantly predicted early progression (progressed within 1 year) after transplantation (AUC=0.706, P=0.003). Multivariate Cox analysis indicated that low albumin level (hazard ratio [HR] 3.19, 95% confidence interval [CI] 1.54-6.63; P=0.002) and age >60 years (HR 2.92, 95% CI 1.27-6.71; P=0.012) were independent risk factors for PFS. Total protein <60 g/L was an independent risk factor for OS (HR 3.57, 95% CI 1.45-8.78; P=0.006). CONCLUSIONS Low albumin level before transplantation was an independent risk factor in patients with lymphoma undergoing HDT/ASCT. Intense care and effective maintenance therapy after transplantation are required for patients with low albumin levels.

Impact of hypoalbuminemia on the prognosis of relapsed/refractory B-cell lymphoma treated with axicabtagene ciloleucel

INTRODUCTION

Hypoalbuminemia is a known adverse prognostic factor in lymphomas. Yet, it is unknown if axicabtagene ciloleucel (axi-cel) overcomes the adverse prognostic impact of hypoalbuminemia in relapsed/refractory large B-cell lymphoma.

METHODS

We conducted a retrospective analysis across three Mayo Clinic centers to assess the relationship of hypoalbuminemia (defined as a serum albumin (SA) levels ≤ 3.5 g/dL) on outcomes of patients treated with axi-cel.

RESULTS

This analysis included 81 patients. Two patients had no available SA levels preceding axi-cel infusion. Eighteen patients (22.8%) had hypoalbuminemia with a median SA of 3.3 g/dL. Patients with normal SA had a statistically higher ORR than those without hypoalbuminemia (P = .018). There was no difference in 1-year PFS and OS between the group with hypoalbuminemia and the group with normal SA levels (48% vs 49%, P = .81) and (74% vs 73%, P = .97), respectively. There was no difference in the severity or median duration of cytokine release syndrome or neurotoxicity between the two groups.

CONCLUSION

Notwithstanding the limitations related to the relatively small sample size, axi-cel therapy appears to overcome the adverse effect of hypoalbuminemia on OS and PFS. Large multicenter clinical studies are certainly needed to validate these findings.

Bioavailable 25(OH)D level is associated with clinical outcomes of patients with diffuse large B-cell lymphoma: An exploratory study

BACKGROUNDS & AIMS

Vitamin D insufficiency is associated with worse clinical outcomes in multiple cancer types; however, its roles in diffuse large B-cell lymphoma (DLBCL) patients are still unclear. Here, we aimed to determine the prognostic values of circulating total 25(OH)D and bioavailable 25(OH)D levels in DLBCL patients.

METHODS

A total of 332 newly diagnosed DLBCL patients were recruited. The plasma total 25(OH)D and bioavailable 25(OH)D levels at diagnosis were determined, and their associations with the clinical characteristics and the prognosis of patients were evaluated. The predictive values of clinical characteristics and 25(OH)D levels in the responses to R-CHOP treatments in DLBCL patients were also assessed.

RESULTS

Of the patients, 92.8% had insufficient vitamin D status (<30 ng/mL). Patients with higher plasma bioavailable 25(OH)D were associated with better progression-free survival (PFS, multivariate adjusted-HR = 0.72, 95% CI = 0.38-1.35, P = 0.301, Tertile 2 vs. 1; multivariate adjusted-HR = 0.39, 95% CI = 0.20-0.79, P = 0.009, Tertile 3 vs. 1) and overall survival (OS, multivariate adjusted-HR = 0.89, 95% CI = 0.39-2.02, P = 0.777, Tertile 2 vs. 1; multivariate adjusted-HR = 0.21, 95% CI = 0.07-0.65, P = 0.007, Tertile 3 vs. 1). Meanwhile, higher plasma total 25(OH)D level was significantly associated with better PFS but not OS in DLBCL patients. Besides, DLBCL patients with higher total or bioavailable 25(OH)D levels were more sensitive to the R-CHOP regimen treatments.

CONCLUSION

The bioavailable 25(OH)D level may serve as a novel prognostic biomarker in DLBCL patients.

Consecutive Hypoalbuminemia Predicts Inferior Outcome in Patients With Diffuse Large B-Cell Lymphoma

The prognostic value of albumin changes between diagnosis and end-of-treatment (EoT) in diffuse large B-cell lymphoma (DLBCL) remains unknown. We retrospectively analyzed 574 de novo DLBCL patients treated with R-CHOP from our and two other centers. All patients were divided into a training cohort (n = 278) and validation cohort (n = 296) depending on the source of the patients. Overall survival (OS) and progression-free survival (PFS) were analyzed by the method of Kaplan-Meier and Cox proportional hazard regression model. In the training cohort, 163 (58.6%) patients had low serum albumin at diagnosis, and 80 of them were present with consecutive hypoalbuminemia at EoT. Patients with consecutive hypoalbuminemia showed inferior OS and PFS (p = 0.010 and p = 0.079, respectively). Similar survival differences were also observed in the independent validation cohort (p = 0.006 and p = 0.030, respectively). Multivariable analysis revealed that consecutive hypoalbuminemia was an independent prognostic factor OS [relative risk (RR), 2.249; 95% confidence interval (CI), 1.441-3.509, p < 0.001] and PFS (RR, 2.001; 95% CI, 1.443-2.773, p < 0.001) in all DLBCL patients independent of IPI. In conclusion, consecutive hypoalbuminemia is a simple and effective adverse prognostic factor in patients with DLBCL, which reminds us to pay more attention to patients with low serum albumin at EoT during follow-up.