Ruxolitinib Re-Treatment in Patients with Myelofibrosis: Real-World Evidence on Patient Characteristics and Outcomes.

Ruxolitinib is an FDA-approved treatment of intermediate- and high-risk myelofibrosis. In the phase 3 COMFORT studies, ruxolitinib reduced spleen volume in patients with myelofibrosis, with a median time to response of 3 months. However, nearly 20% of patients discontinued by month 4 with few treatment options available following discontinuation of ruxolitinib treatment. In this study, 2 independent patient care data sources were queried (Cardinal Health Oncology Provider Extended Network [OPEN] and HealthCore Integrated Research Environment [HIRE®]), and a retrospective review of medical charts was conducted. Patients aged ≥18 years with a diagnosis of myelofibrosis (primary or secondary), use of ruxolitinib for myelofibrosis, and documented physician-directed ruxolitinib interruption were included. Among 26 included patients, pre-interruption median (interquartile range [IQR]) ruxolitinib treatment duration was 123 (57-391, OPEN) and 110 (37-148, HIRE) days. Half the patients interrupted treatment within 3 months, commonly for adverse events (42% and 71%, respectively). After restarting ruxolitinib, median (IQR) re-treatment duration was 196 (54-553) and 166 (108-262) days, respectively. Consistent with previous reports, symptoms and spleen size improved in (OPEN/HIRE) 45%/43% and 40%/33% of evaluable patients, respectively. Further studies investigating the management of dose modifications and interruptions are needed to optimize benefit from ruxolitinib therapy.

Real-world risk assessment and treatment initiation among patients with myelofibrosis at community oncology practices in the United States.

Myelofibrosis (MF) is a chronic myeloproliferative neoplasm with a prevalence of 4 to 6 per 100,000 people in the USA. Treatment recommendations are risk-adapted. This study was conducted to evaluate how physicians risk-stratify patients at the time of MF diagnosis, the accuracy of the risk stratification, and its effect on treatment selection. Medical charts were reviewed at US community hematology/oncology practices in the Cardinal Health Oncology Provider Extended Network; patient clinical characteristics, risk stratification, and treatment data were collected. Physician-assigned risk categorizations were compared with data-derived risk categorizations based on the International Prognostic Scoring System, the system recommended at diagnosis. A total of 491 patients diagnosed with MF between 2012 and 2016 (mean [SD] age at diagnosis, 65.4 [11.8] years; 54.8% male, 69.2% with primary MF) were included. Risk categorization was not assigned for 30.1% of patients. Of the patients with a physician-assigned risk categorization (n = 343), a scoring system was used in 49.9%. Compared with data-derived risk categorizations, 42.9% of physician-assigned risk categorizations were incorrect; 85.0% of incorrect physician-assigned risk categorizations were underestimations. Notably, 38.5% of patients with data-derived intermediate- or high-risk categorizations did not initiate treatment within 120 days of diagnosis. Among patients with data-derived intermediate risk, those with an underestimated physician-assigned risk categorization were significantly less likely to receive treatment within 120 days of diagnosis (51.6% with correct physician-assigned categorization vs 18.5% with underestimated risk categorization; P = 0.0023). These results highlight the gap in risk assessment and the importance of accurate risk stratification at diagnosis.

Use of Real-World Evidence to Support FDA Approval of Oncology Drugs.

OBJECTIVES: Real-world evidence (RWE) has gained increased attention in recent years as a complement to traditional clinical trials. The use of RWE to establish the efficacy of oncology drugs for Food and Drug Administration (FDA) approval has not been described. In this paper, we review 5 recent examples where RWE was submitted in support of the FDA approvals of original or supplementary indications for oncology drugs. METHODS: To identify cases where RWE was used, we reviewed drug approval packages available at Drugs@FDA for oncology drugs approved between 2017 and 2019. Five cases were selected to present a broad overview of different types of RWE, different circumstances under which RWE has been used for regulatory approvals, and how FDA evaluated the data in each case. The type of RWE submitted, the indication, limitations identified by FDA reviewers, and the outcome of the submission are discussed. RESULTS: RWE, particularly historical controls for rare or orphan indications, has been used to support both original and supplementary oncology drug approvals. Types of RWE included data from electronic health records, claims, post-marketing safety reports, retrospective medical record reviews, and expanded access studies. Small sample sizes, data quality, and methodological issues were among concerns cited by FDA reviewers. CONCLUSION: By bridging the gap between the constraints of the trial setting and the realities of clinical practice, RWE can add value to a regulatory submission. These early examples provide insight into how regulators evaluated RWE submitted as evidence of efficacy for oncology drugs.

Real-world incidence and cost of pneumonitis post-chemoradiotherapy for Stage III non-small-cell lung cancer.

Aim: To estimate the real-world incidence and timing of radiation pneumonitis following chemoradiotherapy for Stage III non-small-cell lung cancer and compare costs between patients with and without radiation pneumonitis. Methods: Retrospective analysis using the Symphony Health Integrated Dataverse. Results: Pneumonitis incidence was 12.4% with a 177-day mean time to onset. Patients with versus without pneumonitis were more frequently admitted to the hospital (33.8 vs 19.2%, p < 0.0001) and seen in the emergency room (51.9 vs 35.8%, p < 0.0001) and had higher mean total healthcare costs (US$4251 vs US$3969 per-patient per-month; p = 0.0163). Conclusion: Although pneumonitis significantly increased healthcare resource utilization and costs in chemoradiotherapy-treated Stage III non-small-cell lung cancer, the per-patient per-month differential was <10%. Such financial assessments are critical for cost-benefit analysis.

Observational study of clinical outcomes of eribulin mesylate in metastatic breast cancer after cyclin-dependent kinase 4/6 inhibitor therapy.

Aim: To examine the effectiveness of eribulin mesylate for metastatic breast cancer post cyclin-dependent kinase inhibitor (CDKi) 4/6 therapy. Materials & methods: US community oncologists reviewed charts of patients who had received eribulin from 3 February 2015 to 31 December 2017 after prior CDKi 4/6 therapy and detailed their clinical/treatment history, clinical outcomes (lesion measurements, progression, death) and toxicity. Results: Four patient cohorts were created according to eribulin line of therapy: second line, third line, per US label and fourth line with objective response rates/clinical benefit rates of 42.2%/58.7%, 26.1%/42.3%, 26.7%/54.1% and 17.9%/46.4%, respectively. Median progression-free survival/6-month progression-free survival (79.5% of all patients censored) by cohort was: 9.7 months/77.3%, 10.3 months/71.3%, not reached/70.4% and 4.0 months/0.0%, respectively. Overall occurrence of neutropenia = 23.5%, febrile neutropenia = 1.3%, peripheral neuropathy = 10.1% and diarrhea = 11.1%. Conclusion: Clinical outcome and adverse event rates were similar to those in clinical trials and other observational studies. Longer follow-up is required to confirm these findings.

Earlier presentation and application of curative treatments in hepatocellular carcinoma.

UNLABELLED: The purpose of the study was to assess the use of curative therapies for hepatocellular carcinoma (HCC) in the population. HCC treatment patterns were examined in Surveillance, Epidemiology, and End Results (SEER) 18 registries (28% of U.S.). Joinpoint regression analyses were performed to assess 2000-2010 incidence trends by tumor size, count, and receipt of potentially curative treatments (transplantation, resection, and ablation). SEER-Medicare data enabled evaluation of treatment patterns including receipt of sorafenib or transarterial chemoembolization (TACE) by HCC-associated comorbidities. Diagnoses of tumors≤5.0 cm in diameter significantly increased during 2000-2010, surpassing diagnosis of larger tumors. Overall, 23% of cases received potentially curative treatment. Joinpoint models indicated incidence rates of treatment with curative intent increased 17.6% per year during 2000-2005, then declined by -2.9% per year during 2005-2010 (P<0.001). Among HCC cases with a single tumor≤5.0 cm and no extension beyond the liver, use of ablative therapy significantly increased during 2000-2010. Use of invasive surgery for single tumors, regardless of size, significantly increased during the initial years of the decade, then plateaued. The group most likely to receive curative treatment in the SEER-Medicare cases was patients with one, small tumor confined to the liver (657 of 1,597 cases, 41%), with no difference in treatment by hepatic comorbidity status (P=0.24). A higher proportion of cases with reported liver-associated comorbidities were, however, diagnosed with tumors≤5.0 cm in diameter (1,745 0f 2,464, 71%) compared to patients with no reported comorbidities (996 of 2,596, 38%, P<0.001). CONCLUSION: Although more HCC patients were diagnosed with early disease over time, the use of curative treatments in this patient group has recently plateaued. Efforts to identify and treat more eligible candidates for curative therapy could be beneficial.

Economic and clinical impact of a novel, light-based, at-home antiviral treatment on mild-to-moderate COVID-19.

OBJECTIVES: Antiviral treatments for early intervention in patients with mild-to-moderate COVID-19 are needed as a complement to vaccination. We sought to estimate the impact on COVID-19 cases, deaths, and direct healthcare costs over 12 months following introduction of a novel, antiviral treatment, RD-X19, a light-based, at-home intervention designed for the treatment of mild-to-moderate COVID-19 infection. METHODS: A time-dependent, state transition (semi-Markov) cohort model was developed to simulate infection progression in individuals with COVID-19 in 3 US states with varying levels of vaccine uptake (Alabama, North Carolina, and Massachusetts) and at the national level between 1 June 2020 and 31 May 2021. The hypothetical cohort of patients entering the model progressed through subsequent health states after infection. Costs were assigned to each health state. Number of infections/vaccinations per day were incorporated into the model. Simulations were run to estimate outcomes (cases by severity, deaths, and direct healthcare costs) at various levels of adoption of RD-X19 (5%, 10%, 25%) in eligible infected individuals at the state and national levels and across three levels of clinical benefit based on the results from an early feasibility study of RD-X19. The clinical benefit reflects a decline in the duration of symptomatic disease by 1.2, 2.4 (base case), and 3.6 days. RESULTS: In the base case analysis with 10% adoption, simulated infections/deaths/direct healthcare costs were reduced by 10,059/275/$69 million in Alabama, 21,092/545/$135 million in North Carolina, and 16,670/415/$102 million in Massachusetts over 12 months. At the national level, 10% adoption reduced total infections/deaths/direct healthcare costs by 686,722/17,748/$4.41 billion. CONCLUSION: At-home, antiviral treatment with RD-X19 or other interventions with similar efficacy that decrease both symptomatic days and transmission probabilities can be used in concert with vaccines to reduce COVID-19 cases, deaths, and direct healthcare costs.

Impact of Augmented Intelligence on Utilization of Palliative Care Services in a Real-World Oncology Setting.

PURPOSE: For patients with advanced cancer, timely referral to palliative care (PC) services can ensure that end-of-life care aligns with their preferences and goals. Overestimation of life expectancy may result in underutilization of PC services, counterproductive treatment measures, and reduced quality of life for patients. We assessed the impact of a commercially available augmented intelligence (AI) tool to predict 30-day mortality risk on PC service utilization in a real-world setting. METHODS: Patients within a large hematology-oncology practice were scored weekly between June 2018 and October 2019 with an AI tool to generate insights into short-term mortality risk. Patients identified by the tool as being at high or medium risk were assessed for a supportive care visit and further referred as appropriate. Average monthly rates of PC and hospice referrals were calculated 5 months predeployment and 17 months postdeployment of the tool in the practice. RESULTS: The mean rate of PC consults increased from 17.3 to 29.1 per 1,000 patients per month (PPM) pre- and postdeployment, whereas the mean rate of hospice referrals increased from 0.2 to 1.6 per 1,000 PPM. Eliminating the first 6 months following deployment to account for user learning curve, the mean rate of PC consults nearly doubled over baseline to 33.0 and hospice referrals increased 12-fold to 2.4 PPM. CONCLUSION: Deployment of an AI tool at a hematology-oncology practice was found to be feasible for identifying patients at high or medium risk for short-term mortality. Insights generated by the tool drove clinical practice changes, resulting in significant increases in PC and hospice referrals.

Effectiveness of Eribulin in Metastatic Breast Cancer: 10 Years of Real-World Clinical Experience in the United States.

INTRODUCTION: Eribulin was approved in the United States (US) in 2010 for patients with metastatic breast cancer (MBC) who previously received at least two chemotherapeutic regimens, including anthracycline and taxane in the adjuvant or metastatic setting. With significant changes to the treatment landscape over the past decade, assessment of the real-world effectiveness of eribulin in clinical practice when used according to the approved US indication is valuable. METHODS: Patients with MBC were identified by community oncologists through a retrospective, multi-site patient chart review; de-identified data were abstracted into electronic case report forms. Eligible patients initiated eribulin consistent with approved US indication between 1 January 2011 and 31 December 2017. Clinical outcomes assessed included objective response rate (ORR), progression-free survival (PFS) and overall survival (OS) in all patients and those with triple negative breast cancer (TNBC). RESULTS: The analysis included 513 patients (median 59.0 years; 38.8% with Eastern Cooperative Oncology Group status ≥ 2). Eribulin was third-line therapy for 78.0% of patients, and fourth-line or later for the remainder. ORR was 54.4%, median PFS was 6.1 months (95% CI: 5.8, 6.6), and median OS was 10.6 months (95% CI 9.9, 11.7) in all patients. Among the 49.9% of patients with TNBC, ORR was 55.1%, median PFS was 5.8 months (95% CI 5.1, 6.4), and median OS was 9.8 months (95% CI 8.6, 11.0). CONCLUSION: The current retrospective chart review study reinforces the clinical effectiveness of eribulin in patients with MBC, including those with TNBC, when used according to the approved US indication in real-world clinical practice.

Comparison of Solid Tumor Treatment Response Observed in Clinical Practice With Response Reported in Clinical Trials.

Importance: In clinical trials supporting the regulatory approval of oncology drugs, solid tumor response is assessed using Response Evaluation Criteria in Solid Tumors (RECIST). Calculation of RECIST-based responses requires sequential, timed imaging data, which presents challenges to the method's application in real-world evidence research. Objective: To evaluate the feasibility and validity of a novel real-world RECIST method in assessing tumor burden associated with therapy for a large heterogeneous patient population undergoing treatment in routine clinical practice. Design, Setting, and Participants: This cohort study used physician-abstracted data pooled from retrospective, multisite electronic health record (EHR) review studies of patients treated with anticancer drugs at US oncology practices from 2014 through 2017. Included patients were receiving first-line treatment for thyroid cancer, breast cancer, or metastatic melanoma. Data were analyzed from March through August 2020. Exposures: Undergoing treatment with immunotherapy or targeted therapy. Main Outcomes and Measures: Tumor response was classified according to RECIST guidelines (ie, change in sum diameter of target lesions) post hoc with measurements derived from imaging scans and reports. Results: Among 1308 completed electronic case report forms, 956 forms (73.1%) had adequate data to classify real-world RECIST response. The greatest difference between physician-recorded responses and real-world RECIST-based responses was found in the proportion of complete responses: 118 responses (12.3%) vs 46 responses (4.8%) (P < .001). Among 609 patients in the metastatic melanoma population, complete responses were reported in 112 physician-recorded responses (18.4%) vs 44 real-world RECIST-based responses (7.2%) (P < .001), compared with 11 of 247 responses (4.5%) to 31 of 192 responses (16.1%) across pivotal trials of the same melanoma therapies. Conclusions and Relevance: These findings suggest that comparing tumor lesion sizes and categorizing treatment response according to RECIST guidelines may be feasible using real-world data. This study found that physician-recorded assessments were associated with overestimation of treatment response, with the largest overestimation among complete responses. Real-world RECIST-based assessments were associated with better approximations of tumor response reported in clinical trials compared with those reported in EHRs.

Second-line Afatinib or Chemotherapy Following Immunochemotherapy for the Treatment of Metastatic, Squamous Cell Carcinoma of the Lung: Real-world Effectiveness and Safety From a Multisite Retrospective Chart Review in the USA.

BACKGROUND: The ErbB family blocker, afatinib, is approved for patients with squamous cell carcinoma (SqCC) of the lung following platinum-doublet chemotherapy but has not been explored following immunochemotherapy. Here, we assessed the characteristics and outcomes of patients with SqCC of the lung who received second-line afatinib or chemotherapy after first-line pembrolizumab plus chemotherapy in a "real-world" setting. METHODS: In this retrospective, multisite cohort study, community oncologists identified eligible patients and extracted data from electronic health records. Primary outcome measures were patient demographics and clinical characteristics, time on treatment, and incidence of severe immune-related adverse events (irAEs). RESULTS: Two hundred patients were included: 99 received second-line afatinib and 101 received second-line chemotherapy. Median age was 68 and 66 years, respectively; 35% and 3% of patients had mixed histology tumors, and 39% and 5% of tumors were epidermal growth factor receptor (EGFR) mutation-positive (EGFRm+). Median time on treatment was 7.3 months with afatinib (mixed histology/SqCC tumors: 8.1/5.8 months; EGFRm+/EGFRm- tumors: 7.4/5.9 months) and 4.2 months with chemotherapy. Grade 3/4 irAEs were observed in 6 patients in the afatinib cohort (all had a prior grade 3/4 irAE during first-line therapy) and no patients in the chemotherapy cohort. The most common adverse drug reactions with afatinib were diarrhea (26%), rash (6%), stomatitis, fatigue, and nausea (5% each). CONCLUSION: Encouraging time on treatment, and absence of newly diagnosed irAEs, indicate that afatinib is a treatment option following immunochemotherapy in patients with SqCC of the lung, and is currently the only approved oral agent in this setting.

Lenvatinib and Subsequent Therapy for Radioactive Iodine-Refractory Differentiated Thyroid Cancer: A Real-World Study of Clinical Effectiveness in the United States.

INTRODUCTION: Lenvatinib has become the most commonly prescribed first-line (1L) agent for the treatment of radioactive iodine-refractory differentiated thyroid cancer (RAI-r DTC) since its approval in 2015. With no real-world studies describing clinical outcomes of 1L lenvatinib and subsequent therapy, the current study aimed to assess treatment sequencing and related clinical outcomes in patients treated with 1L lenvatinib in the USA METHODS: We conducted a multisite, retrospective chart review of US patients with a diagnosis of RAI-r DTC who had initiated 1L therapy with lenvatinib from January 1, 2016 through May 31, 2017 with follow-up through October 17, 2018. Physicians completed electronic case report forms for two patient cohorts: patients still receiving 1L lenvatinib (cohort 1) and those who had initiated second-line (2L) therapy prior to data cutoff (cohort 2). Real-world objective response rate (ORR) was assessed for both cohorts. Progression-free survival (PFS) and overall survival (OS) were assessed for cohort 2. RESULTS: A total of 252 patients met the study criteria with 71 in cohort 1 and 181 in cohort 2. Patients were predominantly female, had papillary DTC, and had lung metastases. The ORR was 64.8% for cohort 1 and 53.6% for cohort 2. In cohort 2, median PFS from 1L lenvatinib initiation was 14.0 months (95% CI 12.7-15.0). Second-line treatments included sorafenib (49.7%), cabozantinib (19.3%), and other targeted/chemotherapy/immuno-oncology agents. The ORR in 2L therapy was 15.5%. For cohort 2, the 12-, 18-, and 24-month OS from initiation of 1L lenvatinib was 92.8%, 81.5%, and 66.9%, respectively. CONCLUSIONS: In this first real-world examination of clinical effectiveness of 1L lenvatinib and subsequent therapy among patients in the US, the results demonstrated that treatment with 1L lenvatinib followed by another 2L therapy may deliver a clinical benefit, thus allowing a number of potential 2L options following 1L lenvatinib for patients with RAI-r DTC.

Understanding total cost of care in advanced non-small cell lung cancer pre- and postapproval of immuno-oncology therapies.

This study assesses resource utilization and total direct medical cost among patients in the United States starting systemic antineoplastic therapy (ST) pre- and postapproval of immuno-oncology (IO) agents for advanced non-small cell lung cancer. Adults diagnosed with lung cancer initiating first-line ST within 6 months of diagnosis during either the pre- (March 2013-March 2014) or post-IO (March 2015-December 2016) approval period were identified in a US-based multipayer administrative claims database. Excluded were patients with small cell lung cancer, secondary malignancies, less than 1 month follow-up, and those in clinical trials. Total cost (TC) was calculated from the date of initiation of treatment until the last follow-up. Propensity score matching was adjusted for differences in patient cohorts, including follow-up time. Binary multiple logistic regression assessed predictors of high TC (above mean) pre- and post IO. Mean TC per patient was higher pre-IO versus post IO in both unmatched ($165,548 vs $95,715) and matched analyses($129,977 vs $113,177). Hospitalization and emergency department (ED) visit rates were higher pre-IO versus postapproval. Predictors of high TC pre-IO included use of first-line combination therapy, radiation, targeted therapy, maintenance therapy, biomarker testing, more comorbidities, longer follow-up, first-line hospitalization, first-line cost above mean, and age 65 years and older. In the post-IO period, additional predictors of higher TC included use of IO, having mild liver disease or hemiplegia, and longer time to ST initiation. Early data show lower ED visit and hospitalization rates and associated lower TC in the post-IO era.

Clinical benefit of treatment with eribulin mesylate for metastatic triple-negative breast cancer: Long-term outcomes of patients treated in the US community oncology setting.

INTRODUCTION: Real-world data are critical to demonstrate the consistency of evidence and external generalizability of randomized controlled trials (RCTs). This study examined characteristics and outcomes of metastatic triple-negative breast cancer (mTNBC) patients treated with eribulin mesylate at community oncology practices in the United States. METHODS: Physicians identified mTNBC patients initiating eribulin between 1 January 2011 and 1 January 2014 and abstracted data into an electronic case report form (eCRF). Eribulin treatment in the metastatic setting was categorized as early use (EU, first-/second-line) and late use (LU, third-line or later). Patient characteristics, overall survival (OS), disease response (per treating physician), and adverse events (AEs) rates in each group, respectively, are reported. RESULTS: Overall 252 eCRFs were completed: 125 (49.6%) EU and 127 (50.4%) LU. The median age at metastatic diagnosis was 53 years and 42.1% were stage IV at their initial diagnosis. The median duration of follow-up from the initiation of first-line treatment was 24 months. Rates of disease response (complete or partial per treating physician) were 69.9% in the EU group and 48.8% in the LU group. The five most commonly reported adverse events during eribulin were as follows: fatigue (65.1%), weakness (40.1%), decreased appetite (32.5%), neutropenia (31.0%), and leukopenia (27.4%). Discontinuation of eribulin due to AE was observed in 4.0% of patients. Median OS from initiation of eribulin was 23.0 months (95% CI: 18.7-27.3) among EU and 14.7 (95% CI: 12.6-16.9) among LU. CONCLUSION: In the real-world eribulin-treated mTNBC, patients have more sites of metastatic disease and exposure to greater numbers of prior therapies compared to RCTs. The median OS of 14.7 months among LU patients is consistent with, and slightly longer than the 13.1 months and 14.4 months reported in the EMBRACE and Study 301 clinical trials, respectively.

Prioritizing US Cervical Cancer Prevention With Results From a Geospatial Model.

PURPOSE: To determine if differences in screening and vaccination patterns across the population may accentuate ethnic and geographic variation in future burden of disease. METHODS: Using Cancer in North America data provided by the North American Association of Central Cancer Registries, county cervical cancer incidence trends from 1995 to 2009 were modeled for the entire United States using ecologic covariates. Rates for health service areas were also modeled by ethnicity. State-level incidence was mapped together with Papanicolaou (Pap) screening, past 3 years (women ≥ 18 years old), and three-dose human papillomavirus (HPV) vaccine coverage (girls 13 to 17 years old) to identify potential priority areas for preventive services. RESULTS: US cervical cancer incidence decreased more during the periods 1995 to 1999 and 2000 to 2004 than during the period 2005 to 2009. During these 15 years, the most affected areas became increasingly confined to Appalachia, the lower Mississippi Valley, the Deep South, Texas, and Florida. Hispanic and black women experienced a higher incidence of cervical cancer than both white and Asian and Pacific Islander women during each period. Women in 10 of 17 states/districts with a high incidence (≥ 8.14/100,000) reported low Pap testing (< 78.5%), HPV vaccine coverage (< 33.9%), or both prevention technologies. CONCLUSION: The decline in cervical cancer incidence has slowed in recent years. Access to HPV vaccination, targeted screening, and treatment in affected populations is needed to reduce cervical cancer disparities in the future.

Estimating the Economic Impact of Adding Panobinostat to a U.S. Formulary for Relapsed and/or Refractory Multiple Myeloma: A Budget Impact and Cost-Benefit Model.

BACKGROUND: Multiple myeloma is an incurable B-cell malignancy with a natural history that involves alternating periods of remission and subsequent relapse. For relapsed and/or refractory multiple myeloma (RRMM), the typical patient currently receives more lines of therapy than has been feasible in the past, translating into longer progression-free survival (PFS). Consequently, cost issues have become more prominent because patients may be offered newer and more expensive therapies during a more prolonged overall treatment course. OBJECTIVE: To estimate the economic impact of adding panobinostat to a U.S. health plan formulary as a treatment option with bortezomib and dexamethasone for patients with RRMM previously treated with a proteasome inhibitor (PI) and immunomodulatory drug (IMiD), using a budget impact and cost-benefit model. METHODS: Total costs of commonly used salvage therapy regimens were combined with market share data and population prevalence estimates of RRMM to yield the total cost of treatment, from the perspective of a U.S. third-party payer (commercial or Medicare) with a time horizon of 1 year. Comparator treatment regimens included bortezomib-dexamethasone, lenalidomide-dexamethasone, lenalidomide-bortezomib-dexamethasone, carfilzomib monotherapy, carfilzomib-lenalidomide-dexamethasone, and pomalidomide-dexamethasone. Costs (2015 U.S. dollars) included drug costs for oral oncology agents, medical and administration costs for injectable oncology agents, costs of adverse event (AE) prophylaxis and monitoring, and costs of grade 3/4 AEs. RESULTS: In a hypothetical health plan with 1 million members, the annual number of RRMM patients with previous PI and IMiD treatments was estimated at 16 and 118 for a commercial and Medicare plan, respectively. Introduction of panobinostat as part of the panobinostat-bortezomib-dexamethasone regimen was not expected to result in a substantial budget impact to either commercial or Medicare plans, with an incremental cost < $0.01 per member per month. Panobinostat-bortezomib-dexamethasone had a low cost per treated patient per month without progression, owing to the minimal increase in expenditure over existing bortezomib-based regimens and long median PFS, compared with median duration of treatment. CONCLUSIONS: Adding panobinostat to a plan formulary as a treatment option is expected to be cost neutral (and potentially cost saving in the context of new and more expensive treatment regimens). With a low cost per month without progression, panobinostat-bortezomib-dexamethasone represents good value for the money. DISCLOSURES: Funding for this study was sponsored by Novartis, East Hanover, New Jersey. Bloudek and Kish are employees of Xcenda, a consulting company contracted by Novartis to conduct this analysis. Roy, Globe, and Kuriakose are employees of Novartis. Siegel is on the advisory boards and speaker's bureau of Celgene, Onyx/Amgen, Millennium/Takeda, and Novartis and is on the advisory boards of Merck. Jagannath is a consultant to Sanofi, Bristol-Meyers Squibb, and Celgene. Orloski is a contractor to Xcenda and provided medical writing support, which was funded by Novartis. Study design and concept were contributed by Bloudek, Roy, and Kish, assisted by Globe. Bloukek took the lead in data collection, along with Kish, and data interpretation was performed by Siegal, Jagannath, Globe, and Kuriakose. The manuscript was written primarily by Orloski, along with Roy and Kish, and revised by Roy, along with Siegal, Jagannath, Globe, Orloski, and Kuriakose.

Estimating the Costs of Therapy in Patients with Relapsed and/or Refractory Multiple Myeloma: A Model Framework.

BACKGROUND: Multiple myeloma is a progressive cancer for which there is no cure. Despite treatment, almost all patients eventually experience periods of disease relapse and remission. With the increasing use of novel therapies, including bortezomib, lenalidomide, carfilzomib, pomalidomide, and panobinostat, benchmarks for assessing the value of these therapies in treating patients with relapsed or refractory multiple myeloma (RRMM) are needed for physicians and payers alike. OBJECTIVES: To develop a model framework and to calculate an annual estimate of the total costs per patient for the treatment of patients with RRMM using 7 common treatment regimens, including bortezomib plus dexamethasone; panobinostat, bortezomib, and dexamethasone; lenalidomide plus dexamethasone; lenalidomide, bortezomib, and dexamethasone; carfilzomib; carfilzomib, lenalidomide, and dexamethasone; and pomalidomide plus dexamethasone. METHODS: The expenditures for drugs and their administration, for prophylaxis and adverse event monitoring, and for the treatment of grade 3 or 4 adverse events were included in the calculations of the total pharmacy and medical costs. The drug costs were based on published pricing and labeled dosing schedules; the adverse event prophylaxis and monitoring costs were obtained from peer-reviewed publications; and the adverse event incidence rates were obtained from each regimen's prescribing information and from clinical trials. All the costs were summed over the duration of therapy for which the drugs were administered and were calculated separately for commercial and Medicare plans. The duration of therapy for each regimen was the time for which a patient had to be receiving the regimen to obtain 12 months of progression-free survival based on the duration-of-therapy to progression-free survival ratio observed from published clinical trials and/or the drug's labeling. RESULTS: The pharmacy costs were highest for pomalidomide plus dexamethasone, whereas the medical costs were highest for the combination of carfilzomib, lenalidomide, and dexamethasone. The total cost associated with available treatments for RRMM was highest for regimens that included lenalidomide (approximate range, $126,000-$256,000). Only bortezomib plus dexamethasone and the combination of panobinostat, bortezomib, and dexamethasone had total costs that were lower than $125,000 per patient. CONCLUSION: This study represents the first model developed to comprehensively estimate the costs of managing RRMM with all currently approved and guideline-recommended regimens in the United States. As such, it provides the framework and basis for further budget impact analyses and for cost-effectiveness comparisons with these regimens.

Racial and ethnic disparities in cancer survival by neighborhood socioeconomic status in Surveillance, Epidemiology, and End Results (SEER) Registries.

INTRODUCTION: Reducing cancer disparities is a major public health objective. Disparities often are discussed in terms of either race and ethnicity or socioeconomic status (SES), without examining interactions between these variables. METHODS: Surveillance, Epidemiology, and End Results (SEER)-18 data, excluding Alaska Native and Louisiana registries, from 2002 to 2008, were used to estimate five-year, cause-specific survival by race/ethnicity and census tract SES. Differences in survival between groups were used to assess absolute disparities. Hazard ratios were examined as a measure of relative disparity. Interactions between race/ethnicity and neighborhood SES were evaluated using proportional hazard models. RESULTS: Survival increased with higher SES for all racial/ethnic groups and generally was higher among non-Hispanic white and Asian/Pacific Islander (API) than non-Hispanic black and Hispanic cases. Absolute disparity in breast cancer survival among non-Hispanic black vs non-Hispanic white cases was slightly larger in low-SES areas than in high-SES areas (7.1% and 6.8%, respectively). In contrast, after adjusting for stage, age, and treatment, risk of mortality among non-Hispanic black cases compared with non-Hispanic white cases was 21% higher in low-SES areas and 64% higher in high-SES areas. Similarly, patterns of absolute and relative disparity compared with non-Hispanic whites differed by SES for Hispanic breast cancer, non-Hispanic black colorectal cancer, and prostate cancer cases. Statistically significant interactions existed between race/ethnicity and SES for colorectal and female breast cancers. DISCUSSION: In health disparities research, both relative and absolute measures provide context. A better understanding of the interactions between race/ethnicity and SES may be useful in directing screening and treatment resources toward at-risk populations.