Rural and urban patients with diffuse large B-cell and follicular lymphoma experience reduced overall survival: a National Cancer DataBase study

Response-Based Approach for Pediatric Hodgkin Lymphoma in Nations with Restricted Resources

Background: Hodgkin lymphoma (HL) management varies throughout developing nations. This observational study aims to present the results of children having HL who received various combinations of chemotherapy treatment. The response-based method was used regardless of the risk classification. Materials and Methods: We recruited patients≤ 18 years of age diagnosed with HL in an Iraqi cancer center between January 2014 and December 2021. By stratifying patients, three risk categories were identified. Every patient initially received two cycles of ABVD as induction chemotherapy. Following induction chemotherapy, patients showing a full radiological response continued on ABVD chemotherapy for 4-6 cycles without receiving radiotherapy. Patients showing a modest initial response received three additional courses of COPDac next to the third cycle of ABVD, followed by radiotherapy. Results: This study included fifty-nine patients with a median age of 7 years. Stage III patients accounted for 33.9% (n=20), then stage II (32.2%). B symptoms were present in 25 patients. Eleven children had initial splenic involvement. Fifty-two individuals (n = 19; 32.2%) had bulky disease. Mixed cellularity was the most prevalent histology (n=44). The median duration of follow-up was 2.7 years. EFS was 78% ±10%, and survival was 92% at 5-year estimation. Bulky disease was the only factor with a substantial unfavorable impact on the result. Conclusion: Response-based approach is a valuable strategy in nations with limited resources to prevent long-term sequelae from unnecessary radiotherapy.

Disparity in hematological malignancies: From patients to health care professionals

In the recent few decades, outcomes in patients diagnosed with hematological malignancies have been steadily improving. However, the improved prognosis does not distribute equally among patients from different backgrounds. Besides cancer biology, demographic and geographic disparities have been found to impact overall survival significantly. Specifically, patients from underrepresented minorities including Black and Hispanics, and those with uninsured status, having low socioeconomic status, or from rural areas have had worse outcomes historically, which is uniformly true across all major subtypes of hematological malignancies. Similar discrepancy is also seen in the health care professional field, where a gender gap and a disproportionally low representation of health care providers from underrepresented minorities have been long existing. Thus, a comprehensive strategy to mitigate disparity in the health care system is needed to achieve equity in health care.

The Lymphoma Epidemiology of Outcomes cohort study: Design, baseline characteristics, and early outcomes

To address the current and long-term unmet health needs of the growing population of non-Hodgkin lymphoma (NHL) patients, we established the Lymphoma Epidemiology of Outcomes (LEO) cohort study (NCT02736357; https://leocohort.org/). A total of 7735 newly diagnosed patients aged 18 years and older with NHL were prospectively enrolled from 7/1/2015 to 5/31/2020 at 8 academic centers in the United States. The median age at diagnosis was 62 years (range, 18-99). Participants came from 49 US states and included 538 Black/African-Americans (AA), 822 Hispanics (regardless of race), 3386 women, 716 age <40 years, and 1513 rural residents. At study baseline, we abstracted clinical, pathology, and treatment data; banked serum/plasma (N = 5883, 76.0%) and germline DNA (N = 5465, 70.7%); constructed tissue microarrays for four major NHL subtypes (N = 1189); and collected quality of life (N = 5281, 68.3%) and epidemiologic risk factor (N = 4489, 58.0%) data. Through August 2022, there were 1492 deaths. Compared to population-based SEER data (2015-2019), LEO participants had a similar distribution of gender, AA race, Hispanic ethnicity, and NHL subtype, while LEO was underrepresented for patients who were Asian and aged 80 years and above. Observed overall survival rates for LEO at 1 and 2 years were similar to population-based SEER rates for indolent B-cell (follicular and marginal zone) and T-cell lymphomas, but were 10%-15% higher than SEER rates for aggressive B-cell subtypes (diffuse large B-cell and mantle cell). The LEO cohort is a robust and comprehensive national resource to address the role of clinical, tumor, host genetic, epidemiologic, and other biologic factors in NHL prognosis and survivorship.

Sequencing therapy in relapsed DLBCL

Diffuse large B-cell lymphoma (DLBCL) is the most common lymphoid malignancy worldwide, comprising approximately 30% of all lymphomas. Currently, 50% to 60% of patients diagnosed with DLBCL are alive at 5 years and cured with modern therapy, but about 10% to 15% of patients are refractory to first-line therapy, and an additional 20% to 30% relapse following a complete response. Patients who have relapses beyond 2 years may experience more favorable outcomes and have forms of DLBCL that can be distinguished biologically. Patients who experience early relapse or who have primary refractory disease (less than a complete response or relapse within 3 to 6 months of initial therapy) have worse outcomes. For decades, the standard of care treatment strategy for fit patients with relapsed DLBCL has been salvage therapy with non-cross-resistant combination chemoimmunotherapy regimens followed by high-dose chemotherapy and autologous stem cell transplantation (ASCT) as stem cell rescue for patients with chemosensitive disease. Recent data suggest that certain patients may benefit from chimeric antigen receptor T-cell therapy (CAR T) in the second-line setting. Additional novel therapies exist for patients who are ineligible, who are unable to access these therapies, or who fail ASCT and/or CAR T. Despite the advent of new therapies for DLBCL and improved outcomes, DLBCL remains a life-threatening illness. Thus, it is essential for clinicians to engage in serious illness conversations with their patients. Goals-of-care communication can be improved through skills-based training and has been demonstrated to have an impact on patient experiences.

Disparities in the long-term survival of adolescent and young adult diffuse large B cell lymphoma survivors

PURPOSE

The population of adolescent and young adult (AYA, ages 15-39 years) diffuse large B-cell lymphoma (DLBCL) survivors is growing, however long-term overall survival patterns and disparities are largely unknown.

METHODS

The current study utilized the Surveillance, Epidemiology, and End Results (SEER) registry to assess the impact of race/ethnicity, sex, socioeconomic status, and rurality on long-term survival in 5-year DLBCL survivors using an accelerated failure time model.

RESULTS

Included were 4767 5-year survivors of AYA DLBCL diagnosed between the years 1980 and 2009 with a median follow-up time of 13.4 years. Non-Hispanic Black survivors had significantly worse long-term survival than non-Hispanic White survivors (Survival Time Ratio (STR): 0.53, p < 0.0001). Male sex (STR: 0.57, p < 0.0001) and older age at diagnosis were also associated with reduced long-term survival. There was no evidence that survival disparities improved over time.

CONCLUSIONS

Racial disparities persist well into survivorship among AYA DLBCL survivors. Studies investigating specific factors associated with survival disparities are urgently needed to better address these disparities.

Clinical Outcomes of Patients With Newly Diagnosed Acute Lymphoblastic Leukemia in a County Hospital System

BACKGROUND

Major advances in the treatment of acute lymphoblastic leukemia (ALL) over the past decade have resulted in 5-year overall survival (OS) rates of 80% in mature B cell ALL, 50% in precursor B cell ALL, 50% to 60% in T cell ALL, and 60% to 70% in Philadelphia chromosome-positive (Ph+) ALL, as reported in studies from large, specialized centers. However, many patients treated in the community have limited access to novel therapies and stem cell transplantation (HSCT).

PATIENTS AND METHODS

The purpose of this retrospective cohort analysis was to evaluate the clinical outcomes of patients ≥ 16 years with newly diagnosed ALL treated from October 2007 to June 2019 in the Harris County Health System, Houston, TX.

RESULTS

One hundred forty-six patients were included, with newly diagnosed pre-B-ALL (n = 127), T-ALL (n = 18), and chronic myeloid leukemia and/or lymphoid blast crisis (n = 1). Median age was 35 years (16-82) at diagnosis, and 81(55%) were male. The majority of patients with pre-B ALL identified as Hispanic (n = 118, or 92%). Ninety-eight (67%) of patients were uninsured or indigent, receiving care under the county's financial assistance programs. Hyper-CVAD-based induction chemotherapy was administered in 134 (92%) of patients, while 9 (6%) were treated on different protocols, and 3 (2%) were not treated due to early death, or patient refusal. Imatinib was the most common TKI used in 17 of 30 or 57% of patients with Ph+ disease. Out of 137 evaluable for response patients, 117 (85%) achieved complete remission (CR + CRi), 19 (14%) had refractory disease, and 1 (1%) died within 4 weeks of diagnosis. Median follow-up time was 50 months (1.5-135). For the entire study cohort, the median duration of CR/CRi was 15.4 months. Out of 62 patients who were eligible for consolidative HSCT at first CR, 52 (89%) did not receive it, with lack of insurance being the most common reason (n = 29, or 56%). Barriers to utilization of novel therapies such as blinatumomab or CAR-T were also observed. Patient-caused delays in administration of chemotherapy and treatment interruptions of at least 30 days were seen in 31(23%) patients. At 1, 2, and 5 years, relapse rates were 37%, 56%, and 70%. Recurrent and/or refractory disease was the cause of death in most patients (n = 69 [85%]). Five-year EFS and OS rates were 22% and 38% for patients with pre-B ALL, 24% and 44% for patients with T ALL, and 13% and 27% for patients with Ph+ ALL. Median OS was significantly increased (not reached [NR] vs. 24 months; P = .00088) in patients with an indication for HSCT in first CR due to high-risk features who underwent HSCT, versus those who did not.

CONCLUSION

Addressing barriers raised by socioeconomic disparities, increasing access to effective therapies, and including patients with ALL treated in the community in clinical trials may improve survival for underserved populations.

Racial disparities in the survival of patients with indolent non-Hodgkin lymphomas in the United States

There is a paucity of data regarding racial disparities in the survival of patients with indolent non-Hodgkin lymphomas (iNHL) in the contemporary time-period. Hence, we sought to determine whether racial disparities exist in the survival of patients with iNHLs in the US. We included 68 059 adult patients with follicular lymphoma (FL, n = 41 943), marginal zone lymphoma (MZL, n = 22 485), and lymphoplasmacytic lymphoma/Waldenström macroglobulinemia (LPL/WM, n = 3631) who were diagnosed in the US between 2000 and 2017. Race was categorized as White, Black, Asian/Pacific Islander, or American Indian/Alaska Native (API/AI). The primary outcome was relative survival (RS), which was estimated using flexible parametric survival models. The RS estimates varied according to race and disease histology but were consistently lower for racial minorities, including those diagnosed during the most recent 5-year time-period of 2012-2017. On multivariable analysis for RS, Black patients with FL had a 32% higher excess mortality rate compared to White patients [adjusted excess hazard ratio (aEHR), 1.32; 95% CI, 1.15-1.51; p < .001], corresponding to a difference of 55 (95% CI, 24-86) excess deaths per 10 000 person-years. For MZL, Black patients had a 40% higher excess mortality rate compared to White patients (aEHR 1.40; 95% CI, 1.18-1.66; p < .001), corresponding to a difference of 62 (95% CI, 26-98) excess deaths per 10 000 person-years. No significant racial differences were detected for patients with WM. The greatest disparity was seen for younger Black patients with FL. Our findings highlight the need for interventions to improve the outcomes of Black patients with iNHLs, particularly younger Black patients with FL.

Treatment Modalities and Survival Outcomes for Sinonasal Diffuse Large B-Cell Lymphoma

OBJECTIVES/HYPOTHESIS

This study utilizes a large population national database to comprehensively analyze prognosticators and overall survival (OS) outcomes of varying treatment modalities in a large cohort of sinonasal diffuse large B-cell lymphoma (SN-DLBCL) patients.

STUDY DESIGN

Retrospective database study.

METHODS

The National Cancer Database was queried for all SN-DLBCL cases diagnosed from 2004 to 2015. Kaplan-Meier log-rank test determined differences in OS based on clinical covariates. Cox proportional-hazards analysis was used to determine clinical and sociodemographic covariates predictive of mortality.

RESULTS

A total of 2,073 SN-DLBCL patients were included, consisting of 48% female with a mean age of 66.0 ± 16.2 years. Overall, 82% of patients were Caucasian, 74% had early-stage disease, and 49% had primary tumors in the paranasal sinuses. Early-stage patients were more likely to receive multi-agent chemoradiotherapy compared to multi-agent chemotherapy alone (P < .001). Multivariable Cox proportional-hazards analysis revealed chemoradiotherapy to confer significantly greater OS improvements than chemotherapy alone (hazard ratio [HR]: 0.61; P < .001). However, subset analysis of late-stage patients demonstrated no significant differences in OS between these treatment modalities (P = .245). On multivariable analysis of chemotherapy patients treated post-2012, immunotherapy (HR = 0.51; P = .024) demonstrated significant OS benefits. However, subset analysis showed no significant advantage in OS with administering immunotherapy for late-stage patients (P = .326). Lastly, for all patients treated post-2012, those receiving immunotherapy had significantly improved OS compared to those not receiving immunotherapy (P < .001).

CONCLUSIONS

Treatment protocol selection differs between early- and late-stage SN-DLBCL patients. Early-stage patients receiving chemotherapy may benefit from immunotherapy as part of their treatment paradigm.

LEVEL OF EVIDENCE

III Laryngoscope, 2021.

Understanding and Addressing Disparities in Patients With Hematologic Malignancies: Approaches for Clinicians

Approximately 185,840 individuals will be diagnosed with hematologic malignancies in the United States in 2020. Disparities in disease incidence, prevalence, burden, mortality, and survivorship have been identified among this patient population. Contributing factors include genetic ancestry, race/ethnicity, sex, socioeconomic status, and geographic region. Historically, these inequities have been understudied. Addressing these disparities requires a systems-level approach, improving access to care and reducing biases in the clinical setting. Additional research is needed to construct comprehensive, multilevel models to explore systematic observational studies and perform strategic intervention trials to overcome these disparities.

Socioeconomic Status is Globally a Prognostic Factor for Overall Survival of Multiple Myeloma Patients: Synthesis of Studies and Review of the Literature

Background

Socioeconomic status (SES) is reflecting differences in sociodemographic factors affecting cancer survivorship. Deprived, low SES populations have a higher prevalence of multiple myeloma and worst survival, a condition which widens over time.

Methods

We performed a meta-analysis of 16 studies (registries and cohorts) reporting myeloma patients’ survival data according to SES. Ten studies reported Hazzard Ratio (H.R.) (95 % CI), and 16 studies reported p values. We combined the H.R. from 10 studies, and by using the Mosteller-Bush formula, we performed a synthesis of p values according to the area of the globe.

Results

Combination of H.R. from 10 studies including 85198 myeloma patients weighted to sample size of each study and adopting the hypothesis of random effect returned a combined H.R.: 1,26 (1,13–1,31) in favor of high SES patients.

USA: Synthesis of p values coming from 6 studies (n=89807 pts) by using the Mosteller and Bush formula extracted a p-value of <0.0001 favoring high SES patients.

Oceania: Synthesis of p values in two cohorts from Australia and New Zealand (n= 10196 pts) returned a p-value of 0,022 favoring high SES patients.

Europe: The synthesis of p values from the U.K. and Greece studies (n=18533 pts) returned a p-value of <0,0001 favoring high SES patients.

Asia: Synthesis of 2 studies from Asia (n=915 pts) returned a p-value of <0,0001 favoring high SES patients.

Conclusions

Across the globe and widening over decades, the socioeconomic status remains a gap for equality in myeloma care.

Genome-defined African ancestry is associated with distinct mutations and worse survival in patients with diffuse large B-cell lymphoma

BACKGROUND

Significant racial differences have been observed in the incidence and clinical outcomes of diffuse large B-cell lymphoma (DLBCL) in the United States, but to the authors' knowledge it remains unclear whether genomic differences contribute to these disparities.

METHODS

To understand the influences of genetic ancestry on tumor genomic alterations, the authors estimated the genetic ancestry of 1001 previously described patients with DLBCL using unsupervised model-based Admixture global ancestry analysis applied to exome sequencing data and examined the mutational profile of 150 DLBCL driver genes in tumors obtained from this cohort.

RESULTS

Global ancestry prediction identified 619 patients with >90% European ancestry, 81 patients with >90% African ancestry, and 50 patients with >90% Asian ancestry. Compared with patients with DLBCL with European ancestry, patients with African ancestry were aged >10 years younger at the time of diagnosis and were more likely to present with B symptoms, elevated serum lactate dehydrogenase, extranodal disease, and advanced stage disease. Patients with African ancestry demonstrated worse overall survival compared with patients with European ancestry (median, 4.9 years vs 8.8 years; P = .04). Recurrent mutations of MLL2 (KMT2D), HIST1H1E, MYD88, BCL2, and PIM1 were found across all ancestry groups, suggesting shared mechanisms underlying tumor biology. The authors also identified 6 DLBCL driver genes that were more commonly mutated in patients with African ancestry compared with patients with European ancestry: ATM (21.0% vs 7.75%; P < .001), MGA (19.7% vs 5.33%; P < .001), SETD2 (17.3% vs 5.17%; P < .001), TET2 (12.3% vs 5.82%; P = .029), MLL3 (KMT2C) (11.1% vs 4.36%; P = .013), and DNMT3A (11.1% vs 4.52%; P = .016).

CONCLUSIONS

Distinct prevalence and patterns of mutation highlight an important difference in the mutational landscapes of DLBCL arising in different ancestry groups. To the authors' knowledge, the results of the current study provide the first-ever characterization of genetic alterations among patients with African descent who are diagnosed with DLBCL.

Remaining challenges in predicting patient outcomes for diffuse large B-cell lymphoma

Introduction: Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma and is an aggressive malignancy with heterogeneous outcomes. Diverse methods for DLBCL outcomes assessment ranging from clinical to genomic have been developed with variable predictive and prognostic success.Areas covered: The authors provide an overview of the various methods currently used to estimate prognosis in DLBCL patients. Models incorporating cell of origin, genomic features, sociodemographic factors, treatment effectiveness measures, and machine learning are described.Expert opinion: The clinical and genetic heterogeneity of DLBCL presents distinct challenges in predicting response to therapy and overall prognosis. Successful integration of predictive and prognostic tools in clinical trials and in a standard clinical workflow for DLBCL will likely require a combination of methods incorporating clinical, sociodemographic, and molecular factors with the aid of machine learning and high-dimensional data analysis.

Priorities for Rural Lymphoma Survivors: A Qualitative Study

BACKGROUND

We gathered rural patient perspectives on lymphoma care and unmet needs throughout the treatment course to better understand their attitudes toward treatment and their barriers to participating in clinical research studies.

PATIENTS AND METHODS

We conducted 12 individual semi-structured telephone interviews in the spring of 2018 with lymphoma survivors from rural counties in Georgia. Patients were identified by a residential address in counties classified as rural according to the Rural-Urban Commuting Areas codes. Participants were recruited from regional patient education conferences and from current research participants at a university research hospital in Georgia. The interviews were recorded and transcribed verbatim. Thematic analysis and MAXQDA, version 18.0.8, were used to facilitate a constant comparative coding process during theme development.

RESULTS

The greatest barrier to care was the travel distance. The participants described difficulty navigating between local clinics and larger cancer centers. The lack of communication between the local and specialized clinics complicated the process, and participants had difficulty contacting or seeking advice from the team at the larger cancer centers. Seeking treatment from specialized clinics farther away introduced additional barriers. Most participants agreed that the use of technology was important for improved communication. Participants described lymphoma etiology, subtype-specific studies, alternative therapies, and quality of life as key research priorities.

CONCLUSION

These findings suggest that targeted research and interventions are necessary to address the specific needs of rural patients with and survivors of lymphoma. To address the disparity in health outcomes within rural populations, healthcare professionals and investigators can use these data to engage rural patients in treatment decision-making and research planning.

Characterizing Lymphoma Incidence and Disparities for a Cancer Center Catchment Region

BACKGROUND

Racial disparities in non-Hodgkin lymphoma (NHL) are not well-elucidated for specific catchment areas, which can influence outcomes. Leveraging regional data from a population-based cancer registry may provide unique opportunities to quantify NHL disparities.

MATERIALS AND METHODS

Using Surveillance, Epidemiology, and End Results (SEER) data for NHL cases diagnosed in Georgia from 2001 to 2015, we examined NHL incidence rates by lymphoma subtype and racial differences in baseline characteristics and outcomes for diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL). Cox regression models identified predictors of overall survival (OS).

RESULTS

SEER documented 38,504 NHL cases in Georgia from 2001 to 2015. The age-adjusted incidence rate for NHL in Georgia increased 1.03% per year, and the annual percentage change was 1.72 in blacks compared with 0.84 in whites. Compared with whites, blacks with DLBCL and FL were more likely to be diagnosed at a younger age (DLBCL, 54.1 vs. 65.5 years; P < .0001; FL, 58.4 vs. 64.0 years; P < .0001) and with B symptoms (DLBCL, 44.4% vs. 33.4%; P < .0001; FL, 28.5% vs. 21.4%; P = .004). Across racial categories, age at diagnosis > 60 years, advanced stage, and B symptoms predicted worse OS in DLBCL and FL. Blacks with DLBCL more commonly were diagnosed with stage III/IV disease (55.5% vs. 48.1%; P < .0001) and had worse 5-year relative survival (58.8% vs. 62.3%; P = .01).

CONCLUSIONS

Regional cancer registry data can be used to define incidence patterns and disparities in outcomes across NHL subtypes to help define key targets for interventions in a catchment area.