Derivation and Validation of a Clinical Risk Assessment Model for Cancer-Associated Thrombosis in Two Unique US Health Care Systems.

PURPOSE: Venous thromboembolism (VTE), especially pulmonary embolism (PE) and lower extremity deep vein thrombosis (LE-DVT), is a serious and potentially preventable complication for patients with cancer undergoing systemic therapy. METHODS: Using retrospective data from patients diagnosed with incident cancer from 2011-2020, we derived a parsimonious risk assessment model (RAM) using least absolute shrinkage and selection operator regression from the Harris Health System (HHS, n = 9,769) and externally validated it using the Veterans Affairs (VA) health care system (n = 79,517). Bootstrapped c statistics and calibration curves were used to assess external model discrimination and fit. Dichotomized risk strata using integer scores were created and compared against the Khorana score (KS). RESULTS: Incident VTE and PE/LE-DVT at 6 months occurred in 590 (6.2%) and 437 (4.6%) patients in HHS and 4,027 (5.1%) and 3,331 (4.2%) patients in the VA health care system. Assessed at the time of systemic therapy initiation, the new RAM included components of the KS with the modified cancer subtype, cancer staging, systemic therapy class, history of VTE, history of paralysis/immobility, recent hospitalization, and Asian/Pacific Islander race. The c statistic was 0.71 in HHS and 0.68 in the VA health care system (compared with 0.65 and 0.60, respectively, for KS). Furthermore, the new RAM appropriately reclassified 28% of patients and increased the proportion of VTEs in the high-risk group from 37% to 68% in the validation data set. CONCLUSION: The novel RAM stratified patients with cancer into a high-risk group with 8%-10% cumulative incidence of VTE and 7% PE/LE-DVT at 6 months (v 3% and 2%, respectively, in the low-risk group). The model had improved performance over the original KS and doubled the number of VTE events in the high-risk stratum. We encourage additional external validation from prospective studies.[Media: see text].

The Impact of Sequence of Therapy for Older Patients With Follicular Lymphoma: SEER-Medicare Analysis.

BACKGROUND: One key clinical challenge remains in how to sequence treatments in follicular lymphoma (FL). The chemoimmunotherapy rituximab cyclophosphamide, doxorubicin, vincristine (Oncovin), and prednisone (R-CHOP) has been a standard treatment option for two decades. However, there are limited data to suggest in which line R-CHOP should be used for older patients. PATIENTS AND METHODS: We leveraged population-based surveillance, epidemiology, and end results-medicare data and identified 675 patients aged ≥65 years newly diagnosed with FL from 2000 to 2009 who received R-CHOP in either the first or second line. We estimated restricted mean survival time using Kaplan-Meier curves, propensity scores (PS), and regression models comparing patients who received R-CHOP as a first versus second line. RESULTS: We found that patients who received R-CHOP as first line had significantly longer 9-year RMST than those who received R-CHOP in the second line using Kaplan-Meier curves (P = .01), PS stratification (P = .002), PS matching (P = .005), and the inverse of PS as the treatment weight (P < .0001). The subgroup analyses using linear regression models showed that the 9-year restricted mean survival time of patients who received R-CHOP as the first line was longer in patients aged ≥80 years (P = .002) and with histological grade 1 or 2 (P = .02), compared to those who received R-CHOP as second line. CONCLUSION: R-CHOP given in the first line was associated with longer overall survival compared to R-CHOP given as second line for older patients with FL.

Risk assessment with low-pass whole-genome sequencing of cell-free DNA before CD19 CAR T-cell therapy for large B-cell lymphoma.

Patients with relapsed or refractory large B-cell lymphomas (rrLBCL) can achieve long-term remission after CD19 chimeric antigen receptor T-cell therapy (CART19). However, more than half of recipients will experience treatment failure. Thus, approaches are needed to identify high-risk patients who may benefit from alternative or consolidative therapy. We evaluated low-pass whole-genome sequencing (lpWGS) of cell-free DNA (cfDNA) before CART19 as a new approach for risk stratification. We performed lpWGS on pretreatment plasma samples from 122 patients at time of leukapheresis who received standard-of-care CART19 for rrLBCL to define DNA copy number alterations (CNAs). In multivariable selection, high focal CNA score (FCS) denoting genomic instability was the most significant pretreatment variable associated with inferior 3-month complete response rates (28% vs 56%, P = .0029), progression-free survival (PFS; P = .0007; hazard ratio, 2.11), and overall survival (OS; P = .0026; hazard ratio, 2.10). We identified 34 unique focal CNAs in 108 (89%) patients; of these, deletion 10q23.3 leading to loss of FAS death receptor was the most highly associated with poor outcomes, leading to inferior PFS (P < .0001; hazard ratio, 3.49) and OS (P = .0027; hazard ratio, 2.68). By combining FCS with traditional markers of increased tumor bulk (elevated lactate dehydrogenase and >1 extranodal site), we built a simple risk model that could reliably risk stratify patients. Thus, lpWGS of cfDNA is a minimally invasive assay that could rapidly identify high-risk patients and may guide patient selection for and targeted therapies to evaluate in future clinical trials.

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.

Strategies for Overcoming Disparities for Patients With Hematologic Malignancies and for Improving Enrollment on Clinical Trials.

A multitude of factors contribute to cancer disparities, including, but not limited to, differences in diet, lifestyle, environmental exposures, cultural beliefs, genetic and biological factors related to ancestry, socioeconomic status (SES), and access to health care. More investigation is needed in evaluating these factors in less common cancers and hematological malignancies. Addressing disparities in cancer incidence, prevalence, burden of disease, mortality, and survivorship that have been documented among racial/ethnic minority populations with blood cancers will require multilevel models of the interactions between relevant factors and performance of translational research that uses knowledge of cancer biology to develop and test the feasibility of interventions that can impact human end points. Such work must address a wide range of research areas, including prevention, early detection, diagnosis, treatment, epidemiology, cancer control, treatment, and survivorship. To be effective, efforts should be made to advance these research findings to applications that can transform clinical practice and health care delivery. We reviewed the literature to define a framework for overcoming disparities for patients with hematologic malignancies and to improve patient enrollment on clinical trials.

Cost-effectiveness of New Targeted Agents in the Treatment of Chronic Lymphocytic Leukemia.

Chronic lymphocytic leukemia (CLL) is the most common adult leukemia and is clinically heterogeneous. Integration of oral targeted therapies (OTTs) in the management of CLL has fundamentally altered CLL treatment pathways and improved outcomes for patients with CLL.We review the cost-effectiveness of OTTs in the treatment of CLL. We used MeSH (Medical Subject Heading) terms and keywords to search the National Library of Medicine online MEDLINE database (PubMed) for articles related to cost-effectiveness of OTTs in CLL care.Oral targeted therapies add considerable expense to the treatment of CLL for patients and the health care system. Cost-effectiveness analyses of OTTs are not uniform in their conclusions and depend on patient groups selected for analysis. Given the substantial increase in expense associated with integration of OTTs in CLL treatment, cost reduction methods are needed to ensure equitable access to novel therapies for all patients with CLL.

Cost burden of diffuse large B-cell lymphoma.

Introduction: Diffuse large B-cell lymphoma (DLBCL) is the most common non-Hodgkin lymphoma and is a clinically heterogeneous disease. Treatment pathways for DLBCL are diverse and integrate established and novel therapies.Areas covered: We review the cost burden of DLBCL and the cost-effectiveness of DLBCL management including precision and cellular medicine. We utilized Medical Subject Heading (MeSH) terms and keywords to search the National Library of Medicine online MEDLINE database (PubMed) for articles related to cost, cost burden, and cost-of-illness of DLBCL and cost-effectiveness of DLBCL management strategies published in English as of June 2019.Expert commentary: Available and developing DLBCL therapies offer improved outcomes and often curative treatment at considerable financial expense, and the total cost burden for DLBCL management is substantial for patients and the healthcare system. In the era of personalized medicine, CAR T cells and targeted therapies provide exciting avenues for current and future DLBCL care and can further increase treatment cost. Determinations of cost and cost-effectiveness in DLBCL treatment pathways should continue to guide care providers and systems in identifying cost reduction strategies to provide appropriate therapies to the greatest number of patients in treating DLBCL.

Insurance status impacts overall survival in Burkitt lymphoma.

The impact of insurance status on clinical outcomes in Burkitt (BL) and plasmablastic (PBL) lymphomas remains unknown. We used the National Cancer Database to examine insurance status' effect on overall survival (OS) in adults diagnosed with these lymphomas between 2004 and 2014. BL patients with private insurance had significantly better OS compared to those without. In patients aged <65 years, hazard ratios were 1.4 for uninsured status (95% confidence interval 1.2-1.7), 1.2 for Medicaid (95% CI 1.0-1.4), and 1.5 for Medicare (95% CI 1.2-1.9). For patients aged >65 years, hazard ratio for uninsured status was 8.4 (95% CI 2.5-28.3). Conversely, underinsured PBL patients experienced no difference in OS. Thus, expanding insurance-related access to care may improve survival in BL, for which curative therapy exists, but not PBL, where more effective therapies are needed. Our findings add to mounting evidence that adequate health insurance is particularly important for patients with curable cancers.

A population-based multistate model for diffuse large B-cell lymphoma-specific mortality in older patients.

BACKGROUND: Despite effective therapies, outcomes for diffuse large B-cell lymphoma (DLCBL) remain heterogeneous in older individuals due to comorbid diseases and variations in disease biology. METHODS: Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database, the authors conducted a multistate survival analysis of 11,780 patients with DLBCL who were aged ≥65 years at the time of diagnosis (2002-2009). Cox proportional hazards models were used to specify the impact of prognostic factors on overall survival and cause-specific deaths, and the Aalen-Johansen estimator was used to project the course of DLBCL over time with or without standard therapy with rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP). RESULTS: Advanced age (hazard ratio [HR] for ages 71-75 years: 1.25; HR for ages 76-80 years: 1.46; HR for ages 81-85 years: 1.88; and HR for age ≥86 years: 2.26), DLBCL stage (HR for Ann Arbor stage II: 1.28; HR for stage III: 1.54; and HR for stage IV: 1.95), Charlson Comorbidity Index (CCI) ≥1 (HR for CCI of 1, 1.15; and HR for CCI >1, 1.37), and not being married (HR, 1.12) were associated with an increased risk of DLBCL-specific death. Being female (HR, 0.91) and of higher socioeconomic status (HR, 0.91) were associated with a lower risk of DLBCL-related mortality after therapy. For patients treated with R-CHOP (3610 patients), the risk of death due to DLBCL was 14.0% and 18.6%, respectively, at 2 and 5 years of treatment and plateaued afterward, confirming a 5-year "cure" point while receiving R-CHOP among older patients. CONCLUSIONS: Conducting a survival analysis over a large data set, the current study evaluated competing risks for death within a multistate modeling framework, and identified age, sex, and CCI as risk factors for DLBCL-specific and other causes of death.

Disparities in survival by insurance status in follicular lymphoma.

Follicular lymphoma (FL) is the second most common non-Hodgkin lymphoma and most common indolent non-Hodgkin lymphoma. Lower socioeconomic status is associated with poor outcomes in FL, suggesting that access to care is an important prognostic factor; however, the association between insurance status and FL survival has not been sufficiently examined. The National Cancer Database, a nationwide cancer registry, was used to evaluate 43 648 patients with FL diagnosed between 2004 and 2014. All analyses were performed on 2 cohorts segmented at age 65 years to account for changes in insurance status with Medicare eligibility. Cox proportional hazard models calculated hazard ratios (HRs) with confidence intervals (CIs) for the association between insurance status and overall survival (OS) controlling for the available sociodemographic and prognostic factors. Kaplan-Meier curves display outcomes by insurance status for patients covered by private insurance, no insurance, Medicaid, or Medicare. When compared with patients younger than age 65 years with private insurance, patients younger than age 65 years with no insurance (HR, 1.96; 95% CI, 1.69-2.28), with Medicaid (HR, 1.82; 95% CI, 1.57-2.12), and with Medicare (HR, 1.96; 95% CI, 1.71-2.24) had significantly worse OS after adjusting for sociodemographic and prognostic factors. Compared with patients age 65 years or older with private insurance, those with Medicare only (HR, 1.28; 95% CI, 1.17-1.4) had significantly worse OS. For adults with FL, expanding access to care through insurance has the potential to improve outcomes.

Sociodemographic disparities in the occurrence of medical conditions among adolescent and young adult Hodgkin lymphoma survivors.

PURPOSE: Hodgkin lymphoma (HL) survivors experience high risks of second cancers and cardiovascular disease, but no studies have considered whether the occurrence of these and other medical conditions differ by sociodemographic factors in adolescent and young adult (AYA) survivors. METHODS: Data for 5,085 patients aged 15-39 when diagnosed with HL during 1996-2012 and surviving ≥ 2 years were obtained from the California Cancer Registry and linked to hospitalization data. We examined the impact of race/ethnicity, neighborhood socioeconomic status (SES), and health insurance on the occurrence of medical conditions (≥ 2 years after diagnosis) and the impact of medical conditions on survival using multivariable Cox proportional hazards regression. RESULTS: Twenty-six percent of AYAs experienced at least one medical condition and 15% had ≥ 2 medical conditions after treatment for HL. In multivariable analyses, Black HL survivors had a higher likelihood (vs. non-Hispanic Whites) of endocrine [hazard ratio (HR) = 1.37, 95% confidence interval (CI) 1.05-1.78] and circulatory system diseases (HR = 1.58, CI 1.17-2.14); Hispanics had a higher likelihood of endocrine diseases [HR = 1.24 (1.04-1.48)]. AYAs with public or no insurance (vs. private/military) had higher likelihood of circulatory system diseases, respiratory system diseases, chronic kidney disease/renal failure, liver disease, and endocrine diseases. AYAs residing in low SES neighborhoods (vs. high) had higher likelihood of respiratory system and endocrine diseases. AYAs with these medical conditions or second cancers had an over twofold increased risk of death. CONCLUSION: Strategies to improve health care utilization for surveillance and secondary prevention among AYA HL survivors at increased risk of medical conditions may improve outcomes.

Characterizing Autoimmune Disease-associated Diffuse Large B-cell Lymphoma in a SEER-Medicare Cohort.

BACKGROUND: Severe immune dysregulation such as seen in autoimmune (AI) disease is known to act as a significant risk factor for diffuse large B-cell lymphoma (DLBCL). However, little is known about the demographics or clinical outcomes of DLBCL that arises in the setting of AI disease. PATIENTS AND METHODS: We used the Surveillance, Epidemiology, and End Results (SEER) database for patients with a diagnosis from 1999 to 2009 linked to their Medicare claims data through 2011 to characterize the presentation, treatment, and survival patterns in DLBCL patients, including those with rheumatoid arthritis, systemic lupus erythematosus (SLE), Sjögren syndrome, and other B-cell-mediated AI diseases. We examined the baseline clinical characteristics for patients with B-cell-mediated AI disease, plotted the overall survival and lymphoma-related survival (LRS) for these groups, and compared the median survival times. RESULTS: Patients with DLBCL and AI disease were more commonly female. However, patients with DLBCL and rheumatoid arthritis, SLE, Sjögren syndrome, or other B-cell AI diseases did not differ from other DLBCL patients in any other baseline presenting features and received similar first-line treatment. A trend toward decreased LRS was seen in patients with SLE and DLBCL compared with all other groups, but this difference was not statistically significant in this cohort. CONCLUSION: In the present retrospective claims-based cohort of older patients with DLBCL, concomitant AI disease was uncommon and was more likely to occur in female DLBCL patients, which likely reflects the greater incidence of AI disease in women. The possibility of lower LRS for SLE patients should be explored in future studies.

Exploring the potential cost-effectiveness of precision medicine treatment strategies for diffuse large B-cell lymphoma.

Activated B-cell-like (ABC) diffuse large B-cell lymphoma (DLBCL) is associated with worse survival after standard rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (RCHOP) chemoimmunotherapy compared to germinal center B-cell-like (GCB) subtype. Preliminary evidence suggests that benefits from novel agents may vary by subtype. Hypothesizing that treatment stratified by DLBCL subtype could be potentially cost-effective, we developed micro-simulation models to compare three first-line treatment strategies: (1) standard RCHOP for all patients (2) subtype testing followed by RCHOP for GCB and novel treatment for ABC DLBCL, and (3) novel treatment for all patients. Based on phase 2 evidence, we used lenalidomide + RCHOP as a surrogate novel treatment. The subtype-based approach showed a favorable incremental cost-effectiveness ratio of $15,015/quality-adjusted life year compared with RCHOP. Although our exploratory analyses demonstrated a wide range of conditions where subtype-based treatment remained cost-effective, data from phase 3 trials are needed to validate our models' findings and draw definitive conclusions.

Role of anthracycline and comprehensive geriatric assessment for elderly patients with diffuse large B-cell lymphoma.

Survival outcome for elderly patients with newly diagnosed diffuse large B-cell lymphoma remains suboptimal in the rituximab era. In this systematic review, we summarize available evidence relevant to the inclusion of anthracycline in upfront chemoimmunotherapy for these elderly patients and highlight the need of prospective clinical trials. With limited prospective data, we find that pretreatment comprehensive geriatric assessment accurately predicts survival and treatment-related toxicities, suggesting its potential role in guiding overall treatment decision-making.