Citations

Abstract Purpose To report historical patterns of pharmaceutical expenditures, to identify factors that may influence future spending, and to predict growth in drug spending in 2022 in the United States, with a focus on the nonfederal hospital and clinic sectors. Methods Historical patterns were assessed by examining data on drug purchases from manufacturers using the IQVIA National Sales Perspectives database. Factors that may influence drug spending in hospitals and clinics in 2022 were reviewed—including new drug approvals, patent expirations, and potential new policies or legislation. Focused analyses were conducted for biosimilars, cancer drugs, generics, COVID-19 pandemic influence, and specialty drugs. For nonfederal hospitals, clinics, and overall (all sectors), estimates of growth of pharmaceutical expenditures in 2022 were based on a combination of quantitative analyses and expert opinion. Results In 2021, overall pharmaceutical expenditures in the US grew 7.7% compared to 2020, for a total of $576.9 billion. Utilization (a 4.8% increase), price (a 1.9% increase) and new drugs (a 1.1% increase) drove this increase. Adalimumab was the top drug in terms of overall expenditures in 2021, followed by apixaban and dulaglutide. Drug expenditures were $39.6 billion (a 8.4% increase) and $105.0 billion (a 7.7% increase) in nonfederal hospitals and in clinics, respectively. In clinics and hospitals, new products and increased utilization growth drove growth, with decreasing prices for both sectors acting as an expense restraint. Several new drugs that are likely to influence spending are expected to be approved in 2022. Specialty and cancer drugs will continue to drive expenditures along with the evolution of the COVID-19 pandemic. Conclusion For 2022, we expect overall prescription drug spending to rise by 4.0% to 6.0%, whereas in clinics and hospitals we anticipate increases of 7.0% to 9.0% and 3.0% to 5.0%, respectively, compared to 2021. These national estimates of future pharmaceutical expenditure growth may not be representative of any particular health system because of the myriad of local factors that influence actual spending.

Introduction: Prevention of stroke in patients with atrial fibrillation and cancer is challenging as patients are at increased bleeding and thrombotic risk. Left atrial appendage occlusion (LAAO) has evolved as a promising strategy for stroke prevention with protentional to reduce bleeding risk, though no data exists on its efficacy in patients with cancer. Hypothesis: LAAO is a safe and effective strategy for reducing stroke and bleeding risk in cancer patients with atrial fibrillation. Methods: We retrospectively reviewed all patients with nonvalvular atrial fibrillation who underwent LAAO at all Mayo Clinic sites from 2017-2020 and identified those who had undergone prior or current treatment for cancer. Baseline demographics, malignancy history, atrial fibrillation parameters, procedural success/complications, stroke and bleeding incidence and major adverse cardiac events were ascertained. Results: 55 patients were included in the study; 44 (80.0%) were male and mean age was 79.0 ± 6.1 years. Most common primary malignancies included prostate cancer (29.1%), oropharyngeal cancer (12.7%), and melanoma (10.9%) with 15 (27.3%) having metastatic disease and 14 (25.5%) patients having active malignancy at device implant. Mean CHA2DS2-Vasc score was 4.9 ± 1.3, with 47 (85.5%) patients having a prior bleeding event. Acute procedural success was achieved in all patients with 30-day complications including 4 (7.3%) with vascular access site bleeding, 1 (1.8%) with pericarditis and 1 (1.8%) with a seizure. At a follow up of 1.8 ± 1.1 years, ischemic stroke occurred in 2 (3.6%) patients with bleeding complications in 5 (9.1%) patients. Device related complications occurred in 6 (10.9%) patients with 4 (7.3%) with device thrombosis and 2 (3.6%) with a peri-device leak. Death occurred in 14 (25.5%) patients most commonly due to malignancy progression (9.1%) and infection (7.3%). Conclusions: In our study cohort, LAAO in patients with cancer was achieved with excellent procedural success and offered reasonable reduction in stroke and bleeding risk. Mortality was high likely due to the age of the patients studied, underlying malignancy and comorbidities. Further studies are needed to investigate the prevalence of device thrombosis in cancer patients.

AbstractBackgroundThe U.S. Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk (U.S. POINTER) is a 2‐year randomized controlled trial to evaluate the effect of lifestyle interventions in older adults (60‐79 years) who are cognitively unimpaired but at increased risk for cognitive decline/dementia due to factors such as cardiovascular disease and family history. The POINTER Imaging ancillary study is collecting PET and MRI data to evaluate neuroimaging biomarkers of AD and cerebrovascular pathophysiology in this at‐risk sample.MethodPOINTER Imaging is actively enrolling 1250 participants, 23% from under‐represented racial/ethnic groups (URG), recruited from five U.S. POINTER clinical sites. Participants have undergone PET imaging with [18F]Florbetaben (FBB) to measure Aβ and [18F]MK‐6240 to measure tau burden, as well as MRI to measure brain morphometry, white matter hyperintensities and cerebral blood flow. FBB and MK‐6240 data were quality checked, pre‐processed, and quantified using previously validated methods. PET images were coregistered to a structural MRI, which was also used to create FreeSurfer‐defined reference regions and regions of interest. We examined PET imaging measures (global Aβ, regional tau) and basic demographic (age, sex, race/ethnicity) characteristics of the sample.Result96 participants (mean age 69.3±5.0) have been enrolled in POINTER Imaging. Of these, 59 (61%) are women and 22 (23%) are URG, which is similar to rates of women (75%) and URG (22%) in the main trial. This dataset is <10% of targeted enrollment, was predominantly recruited from 2/5 clinical sites and may not represent the final imaging cohort. FBB quantification (N=20) revealed a mean cortical summary SUVR of 1.09±0.12 (19.6±18.4 centiloids) (whole cerebellum normalization; previously validated positivity threshold=1.08), and 8/20 (40%) of these participants were Aβ+ (Fig. 1A). MK‐6240 quantification (N=23) showed predominantly no/minimal binding with a few exceptions in medial and lateral temporal lobes (Fig. 1B&C).ConclusionThe POINTER imaging study is meeting the target URG enrollment and representative of the main U.S. POINTER trial. Higher frequency of Aβ positivity than published in population cohorts coupled with greater cardiovascular risk factors among POINTER participants highlights our success in recruiting individuals at increased risk of cognitive decline.

AbstractBackgroundFrontotemporal dementia (FTD) is a rapidly progressive neurodegenerative disorder characterized by prominent atrophy of the frontal and temporal lobes and marked language and/or behavioral disturbances. Mislocalization of the TAR DNA‐binding protein 43 (TDP‐43) – characterized by both its nuclear loss and its cytosolic accumulation – occurs in up to 50% of FTD cases. Recent evidence from our group and others demonstrates that loss of TDP‐43‐dependent splicing activity occurs in FTD patient brains, is an early disease phenomenon, and contributes directly to neuronal death. Monitoring the products of TDP‐43 related mis‐splicing may, thus, yield promising biomarker candidates of early cellular dysfunction in FTD.MethodWe propose a series of proteogenomic studies in human iPSC neurons, post‐mortem brain, and patient biospecimens to identify and develop protein‐based biomarkers of RNA mis‐splicing in FTD. First, we will identify pathologic RNA splicing changes and protein products of mis‐splicing that occur in the context of TDP‐43 depletion in iPSC‐derived neurons. We will next determine which of these predicted transcripts and de novo proteins occur in post‐mortem human FTD brains, as a crucial first step in biomarker development. Finally, we will develop CSF biomarkers of FTD‐related mis‐splicing through a combination of targeted proteomics and ELISA‐based assays of lead candidate biomarkers.ResultUsing CRISPRi knockdown of TDP‐43 in i3Neurons followed by total RNAseq, we detected cryptic exon formation in STMN2 as well as hundreds of additional transcripts. We developed a proteogenomic informatic pipeline to detect de novo protein products of mis‐spliced transcripts in TDP‐43 deficient i3Neurons, revealing two in‐frame de novo peptides in the MYO18A transcript. Furthermore, we detected 38 of these mis‐spliced transcripts in ALS/FTD post‐mortem cortex, including MYO18A.ConclusionThese preliminary studies indicate that our i3Neuron CRISPRi pipeline can predict disease‐relevant markers of TDP‐43 mis‐splicing and suggest a proteogenomic workflow for development of novel protein‐based biomarkers of mis‐spliced transcripts.Together, these efforts will yield early biomarkers of TDP‐43 related cellular dysfunction that can act as surrogate measures of disease onset and progression in FTD.

Observations on two mongoloid children, one having primary hypothyroidism and the other having primary hyperthyroidism, have been reported. Primary hypothyroidism in the mongoloid child, in each of the three cases reported to date, has been associated with uterine bleeding attributed to hormonal overlap in the pituitary feedback mechanism. The significance of this phenomenon is not clean. A total of sixteen cases of mongolism with hyperthyroidism have been described. There is no evidence that altered thyroid function plays a role in the clinical manifestations of mongolism, and significant alteration in thyroid function is uncommon among such patients. Both of the carrier protein systems responded to the stresses of the superimposed disease processes in these mongoloid children as they do in normal children. Specifically, the values for the erythrocytic uptake of 1-I131-triiodothyronine and thyroxine and the triiodothynonine binding capacities (Case 2 only) were all in the expected ranges for both thyroid derangements involved. Similarly, in Case 2, where an iron-deficiency anemia was also present, the increase in the iron binding capacity and presumably in the level of transferrin was on the order of that to be expected for the degree of iron deficiency. The response to stress of both carrier protein systems in Down's Syndrome suggests that protein synthesis of transferrin and TBG is normal.

The NCCN Guidelines for Breast Cancer include up-to-date guidelines for clinical management of patients with carcinoma in situ, invasive breast cancer, Paget disease, phyllodes tumor, inflammatory breast cancer, male breast cancer, and breast cancer during pregnancy. These guidelines are developed by a multidisciplinary panel of representatives from NCCN Member Institutions with breast cancer–focused expertise in the fields of medical oncology, surgical oncology, radiation oncology, pathology, reconstructive surgery, and patient advocacy. These NCCN Guidelines Insights focus on the most recent updates to recommendations for adjuvant systemic therapy in patients with nonmetastatic, early-stage, hormone receptor–positive, HER2-negative breast cancer.

Abstract Background: SUMOylation, a post-translational modification analogous to ubiquitination, attaches a small, ubiquitin-like modifier (SUMO) to target proteins. SUMOylation plays a central role in the immune system by regulating type I interferon (IFN-I) expression, thereby functioning to constrain the innate immune response (Decque Nat Immunol 2016), and limit tumor immune surveillance. The SUMOylation pathway is often overexpressed in multiple myeloma (MM) and is associated with poor outcomes (Driscoll Blood 2010). TAK-981 is a first-in-class, small-molecule inhibitor of SUMO-activating enzyme, which blocks the SUMOylation cascade (Langston J Med Chem 2021) and increases IFN-I production and signaling in innate immune cells (Nakamura AACR 2019). In ex vivo assays, TAK-981 activated the IFN-I pathway, increased phagocytic activity of monocyte-derived macrophages, and increased natural killer (NK) cell cytotoxicity via IFN-I signaling (Nakamura AACR 2019). The ability of TAK-981 to promote activation of macrophages and NK cells provides a mechanistic rationale for its use in combination with monoclonal antibodies (mAbs) reliant on antibody-dependent cellular cytotoxicity and phagocytosis; in vivo experiments have demonstrated synergistic activity between TAK-981 and rituximab, and between TAK-981 and the anti-CD38 mAbs daratumumab (dara) (Nakamura SITC 2020) or mezagitamab (meza; TAK-079; Figure 1). Patients with MM who have disease refractory to the three most effective classes of anti-myeloma therapies (proteasome inhibitors [PIs], immunomodulatory drugs [IMiDs], and anti-CD38 mAbs) have a poor prognosis, with median survival 9.2 months (Gandhi Leukemia 2019). Given the incurable nature of advanced MM and the highly complex mechanisms of resistance, continued efforts to better understand MM biology at the time of relapse and to translate this into effective treatment combinations are needed. Combination therapies that engage the immune system to treat MM may offer substantial clinical benefit. Methods: To be eligible for this multicenter, open-label, Phase 1b/2 trial (NCT04776018), patients must have failed at least 3 prior lines of anti-myeloma therapy, have MM disease that is triple-class refractory (defined as refractory/intolerant to ≥1 PI and ≥1 IMiD, and refractory to ≥1 anti-CD38 mAb), and have demonstrated disease progression on their last therapy. Prior CAR-T therapy is allowed. Patients will be assigned to TAK-981 plus subcutaneous (SC) meza (Phase 1 Part 1) or SC dara (dara and hyaluronidase-fihj; Phase 1 Part 2). The primary objectives of Phase 1b are to determine safety and tolerability, and to select the recommended Phase 2 dose (RP2D) and schedule for TAK-981 with each mAb; secondary objectives are to evaluate preliminary antitumor activity, to characterize TAK-981 pharmacokinetics (PK), and to explore pharmacodynamic (PD) markers of TAK-981 target engagement and SUMOylation pathway inhibition. Approximately 30 patients will participate in the Phase 1b Part 1 dose escalation of TAK-981 plus meza (~15 patients per dosing schedule), and ~15 patients will participate in the Phase 1b Part 2 dose escalation of TAK-981 plus SC dara. The primary objective of Phase 2 is to evaluate the efficacy of TAK-981 at the RP2D in combination with an anti-CD38 mAb; ~36 patients will be enrolled. In Phase 1b, patients will receive TAK-981 via a 1-hour intravenous infusion either on days 1, 4, 8, 11, and 15 (twice weekly; BIW) or on days, 1, 8, 15, and 22 (weekly; QW) for 2x 28-day cycles, then 8x every other week, then monthly. Meza 600 mg SC or dara 1800 mg SC will be given 8x weekly, 8x every other week, then monthly, in a 28-day cycle (Figure 2). Treatment will continue until disease progression or unacceptable toxicity (max. 24 cycles). TAK-981 dose escalation will proceed from 60 mg BIW, a dose shown to be pharmacologically active in a first-in-human, single-agent TAK-981 study (TAK-981-1002; data on file). Dose escalation will be guided by Bayesian Optimal Internal Design with Informative Prior (iBOIN) plus consideration of other safety, clinical, PK, and PD data. The iBOIN design selects the true maximum tolerated dose (if any) with high accuracy by allocating more patients to dose levels with a prior dose-limiting toxicity probability closest to the target of 0.3. This study is currently enrolling patients, with the first patient dosed in May 2021. Figure 1 Figure 1. Disclosures Lonial: AMGEN: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria, Research Funding; GlaxoSmithKline: Consultancy, Honoraria, Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; BMS/Celgene: Consultancy, Honoraria, Research Funding; Merck: Honoraria; Abbvie: Consultancy, Honoraria. Boccia: BMS: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Abbvie: Consultancy, Honoraria, Speakers Bureau; Takeda: Honoraria, Research Funding, Speakers Bureau; Amgen: Research Funding, Speakers Bureau; Epizyme: Honoraria, Speakers Bureau; Morphosis: Honoraria, Speakers Bureau. Yimer: Beigene: Speakers Bureau; Astrazeneca: Speakers Bureau; Karyopharm: Current equity holder in publicly-traded company, Speakers Bureau; Janssen: Speakers Bureau; GSK: Speakers Bureau; Sanofi: Speakers Bureau; Amgen: Speakers Bureau; Pharmacyclics: Speakers Bureau; Texas Oncology: Current Employment. Levy: Jazz Pharmaceuticals: Consultancy, Honoraria, Speakers Bureau; Morphosys: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; Karyopharm: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; Dova: Consultancy, Other: Promotional speaker; Janssen Pharmaceuticals: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; Amgen Inc.: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; GSK: Consultancy, Other: Promotional speaker; Epizyme: Consultancy, Other: Promotional speaker; Novartis: Consultancy, Other: Promotional speaker; AbbVie: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; Beigene: Consultancy, Honoraria, Speakers Bureau; Bristol Myers Squibb: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; AstraZeneca: Consultancy, Honoraria, Speakers Bureau; Gilead Sciences, Inc.: Consultancy, Honoraria, Speakers Bureau; Seattle Genetics: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; Takeda: Consultancy, Honoraria, Other: Promotional speaker, Speakers Bureau; TG Therapeutics: Consultancy, Honoraria, Speakers Bureau. Abonour: Takeda: Research Funding; GSK: Consultancy, Honoraria, Research Funding; Celgene-BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding; Jensen: Honoraria, Research Funding. Mohan: Medical College of Wisconsin: Current Employment. Girnius: BMS: Honoraria, Speakers Bureau; Celgene: Speakers Bureau; Genentech: Honoraria; GSK: Honoraria, Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Beigene: Speakers Bureau. Rosenbaum: Takeda: Honoraria; Akcea: Honoraria; Janssen: Honoraria. Nadeem: Karyopharm: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. Berg: Takeda: Current Employment, Current equity holder in publicly-traded company, Current holder of stock options in a privately-held company. Chao: Takeda: Current Employment. Berger: Takeda Development Center Americas, Inc.: Current Employment. Nakamura: Takeda Development Center Americas, Inc.: Current Employment. Zhang: Takeda: Current Employment. Song: Takeda Pharmaceuticals International Co.: Current Employment. Ward: Takeda: Current Employment. Proscurshim: Takeda Pharmaceuticals: Current Employment, Current holder of individual stocks in a privately-held company. Kumar: Novartis: Research Funding; Tenebio: Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Antengene: Consultancy, Honoraria; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche-Genentech: Consultancy, Research Funding; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, Research Funding; Beigene: Consultancy; Bluebird Bio: Consultancy; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Oncopeptides: Consultancy; Amgen: Consultancy, Research Funding; Carsgen: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding. OffLabel Disclosure: Study of the investigational agent TAK-981 in combination with daratumumab and hyaluronidase-fihj or the investigational agent mezagitamab (TAK-079).