First-line immunotherapy versus targeted therapy in patients with BRAF-mutant advanced melanoma: a real-world analysis.

Aim: To compare effectiveness of nivolumab + ipilimumab (NIVO + IPI) versus BRAF + MEK inhibitors (BRAFi + MEKi) in patients with BRAF-mutant advanced melanoma in the real-world setting. Materials & methods: This study used the Flatiron Health electronic medical record database. Results: After adjusting for differences in baseline characteristics, NIVO + IPI was associated with a 32% reduction in risk of death versus BRAFi + MEKi. At a mean follow-up of 15-16 months, 64% of NIVO + IPI patients and 43% of BRAFi + MEKi patients were alive; subsequent therapy was administered to 33 and 41% of patients, respectively. After first-line NIVO + IPI, 20% of patients died before subsequent therapy, whereas 32% died after first-line BRAFi + MEKi. Conclusion: In this real-world study, patients treated with first-line NIVO + IPI showed significant survival benefit versus those receiving first-line BRAFi + MEKi.

Angiotensin II for the treatment of distributive shock in the intensive care unit: A US cost-effectiveness analysis.

BACKGROUND: Patients with distributive shock who are unresponsive to traditional vasopressors are commonly considered to have severe distributive shock and are at high mortality risk. Here, we assess the cost-effectiveness of adding angiotensin II to the standard of care (SOC) for severe distributive shock in the US critical care setting from a US payer perspective. METHODS: Short-term mortality outcomes were based on 28-day survival rates from the ATHOS-3 study. Long-term outcomes were extrapolated to lifetime survival using individually estimated life expectancies for survivors. Resource use and adverse event costs were drawn from the published literature. Health outcomes evaluated were lives saved, life-years gained, and quality-adjusted life-years (QALYs) gained using utility estimates for the US adult population weighted for sepsis mortality. Deterministic and probabilistic sensitivity analyses assessed uncertainty around results. We analyzed patients with severe distributive shock from the ATHOS-3 clinical trial. RESULTS: The addition of angiotensin II to the SOC saved .08 lives at Day 28 compared to SOC alone. The cost per life saved was estimated to be $108,884. The addition of angiotensin II to the SOC was projected to result in a gain of .96 life-years and .66 QALYs. This resulted in an incremental cost-effectiveness ratio of $12,843 per QALY. The probability of angiotensin II being cost-effective at a threshold of $50,000 per QALY was 86 percent. CONCLUSIONS: For treatment of severe distributive shock, angiotensin II is cost-effective at acceptable thresholds.

Real-world outcomes with immuno-oncology therapies in advanced melanoma: final results of the OPTIMIzE registry study.

Aim: The OPTIMIzE registry study evaluated real-world outcomes in patients with advanced melanoma receiving immuno-oncology therapies. Materials and methods: Data were collected for patients treated with anti-programmed death 1 (PD-1) monotherapy (nivolumab or pembrolizumab; n = 147) or nivolumab plus ipilimumab (n = 81) from 2015-2017 and followed for ≥3 years. Results: Nivolumab plus ipilimumab versus anti-PD-1 monotherapy was associated with a nonsignificantly lower risk of death (adjusted HR: 0.83; 95% CI: 0.54-1.28; p = 0.41), higher disease control rate (72 vs 56%; p = 0.04), and stable quality of life, but more grade 3-4 treatment-related adverse events (54 vs 26%; p < 0.0001). Conclusion: These results support the use of immuno-oncology therapy in advanced melanoma.

Melanoma is a serious form of skin cancer that develops from melanocytes, which are pigment cells that give the skin, hair, and other tissues their color. At advanced stages of spread, melanoma can be life-threatening. However, immunotherapy, a type of therapy that helps the body's immune system to destroy cancer cells, allows some patients with advanced melanoma to live longer. The OPTIMIzE study looked at how well patients with advanced melanoma did when treated with different immunotherapies. These patients were treated in a real-world setting, such as a doctor's office, and were not participating in a clinical trial. Compared with clinical trials, real-world studies like the OPTIMIzE study may include a more varied group of patients because of the less selective study enrollment requirements. In the OPTIMIzE study, patients were treated with either a single immunotherapy (nivolumab or pembrolizumab alone) or a combination of two immunotherapies (nivolumab plus ipilimumab). Both single and combination immunotherapies were effective and tolerable. Patients receiving nivolumab plus ipilimumab had greater tumor shrinkage than patients receiving nivolumab or pembrolizumab alone, but with more side effects from their treatment. Despite the occurrence of side effects with both single and combination immunotherapies, patients reported that their quality of life remained stable while being treated. The OPTIMIzE study shows that immunotherapy is effective and tolerable for patients with advanced melanoma in the real-world setting. This information may help doctors with selecting treatments for their patients with advanced melanoma. Clinical Trial Registration: NCT02780089 (ClinicalTrials.gov).

Statistical identification of gene association by CID in application of constructing ER regulatory network.

BACKGROUND: A variety of high-throughput techniques are now available for constructing comprehensive gene regulatory networks in systems biology. In this study, we report a new statistical approach for facilitating in silico inference of regulatory network structure. The new measure of association, coefficient of intrinsic dependence (CID), is model-free and can be applied to both continuous and categorical distributions. When given two variables X and Y, CID answers whether Y is dependent on X by examining the conditional distribution of Y given X. In this paper, we apply CID to analyze the regulatory relationships between transcription factors (TFs) (X) and their downstream genes (Y) based on clinical data. More specifically, we use estrogen receptor alpha (ERalpha) as the variable X, and the analyses are based on 48 clinical breast cancer gene expression arrays (48A). RESULTS: The analytical utility of CID was evaluated in comparison with four commonly used statistical methods, Galton-Pearson's correlation coefficient (GPCC), Student's t-test (STT), coefficient of determination (CoD), and mutual information (MI). When being compared to GPCC, CoD, and MI, CID reveals its preferential ability to discover the regulatory association where distribution of the mRNA expression levels on X and Y does not fit linear models. On the other hand, when CID is used to measure the association of a continuous variable (Y) against a discrete variable (X), it shows similar performance as compared to STT, and appears to outperform CoD and MI. In addition, this study established a two-layer transcriptional regulatory network to exemplify the usage of CID, in combination with GPCC, in deciphering gene networks based on gene expression profiles from patient arrays. CONCLUSION: CID is shown to provide useful information for identifying associations between genes and transcription factors of interest in patient arrays. When coupled with the relationships detected by GPCC, the association predicted by CID are applicable to the construction of transcriptional regulatory networks. This study shows how information from different data sources and learning algorithms can be integrated to investigate whether relevant regulatory mechanisms identified in cell models can also be partially re-identified in clinical samples of breast cancers. AVAILABILITY: the implementation of CID in R codes can be freely downloaded from (http://homepage.ntu.edu.tw/~lyliu/BC/).

Specialty Drug Price Trends in the Federal 340B Drug Discount Program.

BACKGROUND: The federal 340B Drug Discount Program provides access to significant drug price discounts for health care organizations in the United States that serve a disproportional share of disadvantaged patients. OBJECTIVE: To analyze trends over a 10-year period (2006~2016) in the price of specialty drugs, contrasting the market price with the price paid under the 340B program. METHODS: Pharmacy purchase records, including the 340B drug price and the wholesale acquisition cost (WAC), were collected from a 340B-contract pharmacy group in Southern California between 2006 and 2016. Records were used to calculate price changes in the annual average price paid. The average price was calculated as the weighted price, using purchasing volume for each year as weights. Separate time series of year-to-year price changes were created by therapeutic class using the American Hospital Formulary Service Therapeutic Classification system. RESULTS: The 340B price growth rate patterns were similar to the profile of the WAC prices over time across all drug classes. The overall drug price growth rate per year over 10 years for WAC prices was 15% and 10% for 340B prices. For specialty drug classes, the average growth rates per year were 14% for the WAC price and 6% for the 340B price. For certain specialty drug classes, such as antineoplastic and antiretroviral drugs, the 340B price inflation rates were significantly lower than the WAC price inflation rates after 2013. CONCLUSIONS: The price inflation of specialty drugs exceeds the rate of inflation in the Consumer Price Index for prescription drugs. The 340B price shows a similar inflation pattern as the WAC price over time in the specialty drug categories. DISCLOSURES: This study is 1 of 3 research projects that comprise Lee's dissertation. Funding to support Lee's dissertation research was provided as an unrestricted fellowship from PharMedQuest Pharmacy Services. Chang is employed by PharMedQuest Pharmacy Services, which provided the dataset for analysis. Lee reports grants from PharMedQuest Pharmacy Services, unrelated to this study. McCombs has nothing to report.