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Community detection in large-scale complex networks has recently received significant attention as the volume of available data is becoming larger. The use of evolutionary algorithms (EAs) for community detection in large-scale networks has gained considerable popularity because these algorithms are fairly effective in networks with a relatively small number of nodes. In this paper, we propose a parallel multi-objective EA, called PMOEA, for community detection in large-scale networks, where the communities associated with key network nodes are detected in parallel. Specifically, we develop a multi-objective and a single-objective EA. The former is used to detect the communities of a key node instead of all communities in the network. The latter obtains the communities in the entire network using the previously detected communities of each key node. The performance of the proposed method was verified on both large-scale synthetic benchmark networks and real-world networks. The results demonstrated the superiority of PMOEA over six EA-based and two non-EA-based community-detection algorithms for large-scale networks.

OBJECTIVE: To evaluate the impact of solriamfetol, a dopamine and norepinephrine reuptake inhibitor, on on-the-road driving in participants with excessive daytime sleepiness (EDS) associated with obstructive sleep apnoea (OSA).METHODS: Eligible participants were aged 21-75 years with OSA and EDS (Maintenance of Wakefulness Test mean sleep latency RESULTS: Solriamfetol significantly reduced SDLP at 2 (n = 34; least squares mean difference, -1.1 cm; 95% CI, -1.85, -0.32; p = 0.006) and 6 hours postdose (n = 32; least squares mean difference, -0.8 cm; 95% CI, -1.58, -0.03; p = 0.043). Two hours postdose, 4 placebo-treated and 1 solriamfetol-treated participants had incomplete driving tests; 6 hours postdose, 7 and 3 participants, respectively, had incomplete tests. Common treatment-emergent adverse events included headache, nausea, and insomnia.CONCLUSIONS: Solriamfetol 300 mg/day significantly improved on-the-road driving performance in participants with EDS associated with OSA.

OBJECTIVE: To evaluate the impact of solriamfetol, a dopamine and norepinephrine reuptake inhibitor, on on-the-road driving performance in participants with narcolepsy.METHODS: In this randomised, double-blind, placebo-controlled, crossover study, driving performance during a 1 h on-road driving test was assessed at 2 and 6 h post-dose following 7 days of treatment with solriamfetol (150 mg/day for 3 days, followed by 300 mg/day for 4 days) or placebo. The primary endpoint was standard deviation of lateral position (SDLP) at 2 h post-dose.RESULTS: The study included 24 participants (54% male; mean age, 40 years); 22 had evaluable SDLP data. At 2 h post-dose, median SDLP was significantly lower (improved) with solriamfetol compared with placebo (19.08 vs. 20.46 cm [median difference, -1.9 cm], p = 0.002). Four participants on solriamfetol and 7 on placebo had incomplete driving tests. At 6 h post-dose, median SDLP was not statistically significantly different with solriamfetol compared with placebo (19.59 vs. 19.78 cm [median difference, -1.1 cm], p = 0.125). Three participants on solriamfetol and 10 on placebo had incomplete driving tests. Common adverse events (≥5%) included headache, decreased appetite, and somnolence.CONCLUSIONS: Solriamfetol 300 mg/day improved on-the-road driving performance, at 2 h post-administration in participants with narcolepsy.

Recently, multi-objective evolutionary algorithms (MOEAs) have been shown promising performance for detecting overlapping community structure in complex networks. However, it is still challenging to design MOEAs for overlapping community detection on large-scale complex networks due to the curse of dimensionality. Along this avenue, this paper proposes a local-to-global scheme-based MOEA named LG-MOEA for overlapping community detection on large-scale complex networks, which mainly consists of two stages: a local community structure detection stage and a global community structure determination stage. To be specific, in the local community structure detection stage, the key nodes that are central to community and essential to the connectedness of community are firstly identified. Then for each key node, an MOEA with the proposed community boundary control strategy is suggested to detect a set of local overlapping communities through local expansion around the key node. In the global community structure determination stage, a single objective evolutionary algorithm is adopted to search for a suitable local overlapping community for each key node and combine them as one global community partition of the whole network. The proposed LG-MOEA is compared with several competitive overlapping community detection algorithms on both real-world small-scale and large-scale networks, and the experimental results show its superiority for overlapping community detection in terms of the generalized normalized mutual information gNMI and the extended modularity $$Q_{ov}$$ , especially has competitive superiority for large-scale complex networks.

Background Therapeutic advances have greatly extended survival times in patients with multiple myeloma, necessitating increasingly lengthy trials when using survival outcomes as primary endpoints. A surrogate endpoint that can more rapidly predict survival could accelerate drug development. We conducted a meta-analysis to evaluate minimal residual disease (MRD) status as a valid progression-free survival (PFS) surrogate in patients with newly diagnosed multiple myeloma (NDMM). Materials and Methods We searched abstracts in PubMed, The American Society of Hematology, and the European Hematology Association for “myeloma,” “minimal residual disease,” and “clinical trial.” Because of the need to evaluate the treatment effect on MRD response, only randomized studies for subjects with NDMM were included. Details on the MRD-tested populations were required. The meta-analysis was performed by principles outlined at the 2013 United States Food and Drug Administration workshop on MRD in acute myeloid leukemia. 42 For samples that were not measured for MRD and within the subset specified for MRD assessment, their MRD status was imputed from the samples that had known MRD status. Patients that were excluded from planned MRD assessment were considered MRD-positive. Results Six randomized studies, representing 3283 patients and 2208 MRD samples, met analysis inclusion criteria. MRD negativity rates ranged from 0.06 to 0.70. The treatment effect on the odds ratio for MRD-negative response strongly correlated with the hazard ratio for PFS with a coefficient of determination for the weighted regression line of 0.97. Our meta-analysis suggested that MRD status met both the Prentice criteria for PFS surrogacy. Conclusions These results support the claim that MRD status can be used as a surrogate for PFS in NDMM.

Background: Elevated circulating growth differentiation factor 15 (GDF15) and increased GDF15 expression in tumor tissues has been observed in patients with advanced pancreatic cancer (APC). These changes were correlated with poor survival. Effects of GDF15 on tumor progression, metastasis and immune escape may play a role. NGM120, a novel antibody to GFRAL that blocks the effects of GDF15, has resulted both in antitumor and anti-cachexia effects in experimental models. Here we report updated findings of the ongoing Phase 1b study with NGM120 in patients with APC. Methods: Metastatic pancreatic cancer patients with elevated serum GDF15 were treated with NGM120 (30 or 100 mg, s.c., q4wks) in a 1st line setting in combination with Gem/nab-paclitaxel. Primary endpoints were safety and tolerability. Secondary endpoints were pharmacokinetics, preliminary evidence of antitumor activity (RECIST) and anti-cachexia effects. Results: Eight patients received NGM120 in combination with Gem/nab-paclitaxel. Median age was 67 years, all patients had advanced disease. NGM120 was well tolerated with no dose-limiting toxicities. Most of the AEs or SAEs observed were Gem/nab-paclitaxel related and none of them attributed to NGM 120 treatment. As of data cut off on March 25, 2022, preliminary results include 3 patients with PR (extending >32 wks), 3 patients SD; 2 patients discontinued early (before first post-dose scan) due to toxicity attributed to Gem/nab-paclitaxel. Among the 6 evaluable patients, the disease control rate (DCR) is 100%, mPFS has not been reached, 12-month survival rate (12-month OS) is 83.3%. Over the course of the study, 5/6 of the patients gained or maintained their body weight (BW) and 5/6 of the patients gained or maintained their lean body mass (LBM) based on maximum change from baseline. Conclusions: NGM120 given in combination with Gem/nab-paclitaxel to patients with APC resulted in a 50% ORR (3 PR in 6 evaluable patients), 100% DCR, 83.3% 12-month OS and a “not reached” mPFS. Compared to historical Gem/nab-paclitaxel data, these findings are encouraging and support the potential role of NGM120 in the treatment of patients with APC. The positive effects on BW and LBM is also encouraging compared to the historical cachexia rate of 30% observed within 12 weeks of starting first-line chemotherapy in APC. A sign of NGM120 engages the GDF15-GFRAL pathway in managing body weight regulation. A Ph2a study is ongoing to further evaluate NGM120 in combination with Gem/nab-paclitaxel in the 1st line setting for the treatment of APC. Citation Format: Andrew Hendifar, Efrat Dotan, Benjamin Weinberg, Edward Kim, Peter Hosein, Jian Luo, Jiping Zha, Alex DePaoli, Vladimir Hanes, Cecilia Tranmuchowski, Kefei Zhou, Carol Tseng, Hsiao Lieu. Initial results of a cohort of advanced pancreatic cancer patients in a phase 1b Study of NGM120, a first-in-class anti-GDNF Family Receptor Alpha Like (GFRAL) antibody [abstract]. In: Proceedings of the AACR Special Conference on Pancreatic Cancer; 2022 Sep 13-16; Boston, MA. Philadelphia (PA): AACR; Cancer Res 2022;82(22 Suppl):Abstract nr PR006.

TD-0714 is an orally active, potent, and selective inhibitor of human neprilysin (NEP) in development for the treatment of chronic heart failure. Oral administration of TD-0714 in rats resulted in dose-dependent and sustained increases in plasma cyclic guanosine monophosphate (cGMP) over 24 hours consistent with NEP target engagement. Randomized, double-blind, placebo controlled, single ascending dose (50-600 mg TD-0714) and multiple ascending dose (10-200 mg TD-0714 q.d. for 14 days) studies were conducted in healthy volunteers. TD-0714 was generally well-tolerated and no serious adverse events or clinically significant effects on vital signs or electrocardiogram parameters were observed. TD-0714 exhibited dose-proportional pharmacokinetics (PKs) with high oral bioavailability, minimal accumulation after once daily dosing, and negligible renal elimination. Pharmacodynamic (PD) responses were observed at all dose levels studied, as reflected by statistically significant increases in plasma cGMP concentrations. The increases in cGMP were significantly above the baseline (~ 50-100%) on day 14 for the entire 24-hour interval indicating that sustained cGMP elevations are achieved at steady-state. Maximal steady-state cGMP response was observed in plasma and urine at doses ≥ 50 mg. The TD-0714 PK-PD relationship and safety profile were similar in elderly vs. younger adult subjects. The TD-0714 PK and PD profiles support further clinical development of TD-0714 and suggest the potential for once-daily administration and predictable exposure in patients with cardiorenal diseases regardless of their renal function.

Safety monitoring and reporting has achieved a greater level of attention in the past 15 years. Statisticians play an important role in learning about a drug's safety profile. An ASA safety monitoring working group was established with a goal to empower the biostatistics community to play a proactive role and better enable quantification in safety monitoring. As part of its effort, this article presents a systematic review and unique perspective on the existing methodology developments, which include Bayesian and frequentist, blinded versus unblinded safety monitoring, individual versus aggregate data meta-analyses, pre-, and post-marketing methods, static versus dynamic safety reviews, and methods of visualization. These perspectives may serve as a background for future statistical work, both in methodology development and its application.

In clinical trials, some patient subgroups are likely to demonstrate larger effect sizes than other subgroups. For example, the effect size, or informally the benefit with treatment, is often greater in patients with a moderate condition of a disease than in those with a mild condition. A limitation of the usual method of analysis is that it does not incorporate this ordering of effect size by patient subgroup. We propose a test statistic which supplements the conventional test by including this information and simultaneously tests the null hypothesis in pre-specified subgroups and in the overall sample. It results in more power than the conventional test when the differences in effect sizes across subgroups are at least moderately large; otherwise it loses power. The method involves combining p-values from models fit to pre-specified subgroups and the overall sample in a manner that assigns greater weight to subgroups in which a larger effect size is expected. Results are presented for randomized trials with two and three subgroups.

For ethical reasons, group sequential trials were introduced to allow trials to stop early in the event of extreme results. Endpoints in such trials are usually mortality or irreversible morbidity. For a given endpoint, the norm is to use a single test statistic and to use that same statistic for each analysis. This approach is risky because the test statistic has to be specified before the study is unblinded, and there is loss in power if the assumptions that ensure optimality for each analysis are not met. To minimize the risk of moderate to substantial loss in power due to a suboptimal choice of a statistic, a robust method was developed for nonsequential trials. The concept is analogous to diversification of financial investments to minimize risk. The method is based on combining P values from multiple test statistics for formal inference while controlling the type I error rate at its designated value.This article evaluates the performance of 2 P value combining methods for group sequential trials. The emphasis is on time to event trials although results from less complex trials are also included. The gain or loss in power with the combination method relative to a single statistic is asymmetric in its favor. Depending on the power of each individual test, the combination method can give more power than any single test or give power that is closer to the test with the most power. The versatility of the method is that it can combine P values from different test statistics for analysis at different times. The robustness of results suggests that inference from group sequential trials can be strengthened with the use of combined tests.

Background: The combination of carfilzomib with lenalidomide and dexamethasone (KRd) is approved in the United States and the European Union (EU) for the treatment of patients with relapsed or refractory multiple myeloma (RRMM). Under these approvals, carfilzomib is administered twice weekly as a 10-minute intravenous (IV) infusion at a dose of 20/27 mg/m2. The phase 1/2 CHAMPION-1 study showed that once-weekly carfilzomib (20/70 mg/m2; 30-minute IV infusion) with dexamethasone was well tolerated and active in patients with RRMM (Berenson et al. Blood. 2016;127:3360−3368). We present initial results from the dose evaluation component of a phase 1b study (NCT02335983) assessing the safety and efficacy of once-weekly carfilzomib with lenalidomide and dexamethasone in patients with MM. Methods: This is an open-label, multicenter, dose-finding, phase 1b study.The primary objective of the study is to evaluate the safety and tolerability of a once-weekly KRd regimen. Secondary objectives included evaluation of the efficacy of a once-weekly KRd regimen. This study consists of 2 parts: a dose-evaluation component in patients with RRMM and a dose-expansion component in both RRMM and newly diagnosed MM (NDMM). Results from the ongoing dose-evaluation component in RRMM are presented. There were 2 planned dose cohorts in the dose-evaluation portion of the study: carfilzomib 56 mg/m2 KRd cohort (56 mg/m2) and carfilzomib 70 mg/m2 KRdcohort (70 mg/m2). All patients received carfilzomib (days 1, 8, and 15), lenalidomide 25 mg (days 1 - 21), and dexamethasone 40 mg (days 1, 8, 15 and 22) on a 28-day cycle (dexamethasone was not administered on day 22 for cycles 9+). Carfilzomib was administered as a 30-minute IV infusion: 20 mg/m2 on cycle 1 day 1 with escalation to the assigned dose level (56 or 70 mg/m2) thereafter. The protocol allowed 8 DLT-evaluable patients to be treated in the 56 mg/m2 and 70 mg/m2 cohorts. Response was assessed by investigators using International Myeloma Working Group Uniform Response Criteria. The data cutoff date for this analysis was June 23, 2016. Results: A total of 22 patients (56 mg/m2, n=10; 70 mg/m2, n=12) with a median age of 69 (range, 50-87) years were enrolled in the dose evaluation component of the study. The median number of prior regimens was 1 (range, 1 - 3) in both cohorts. There were no dose-limiting toxicities observed in any of the 15 dose-evaluable RRMM patients (56 mg/m2 cohort, n=8; 70 mg/m2 cohort, n=7). The median number of cycles started as of data cutoff was 9.5 (range, 3-15) in the 56 mg/m2 cohort and 6.0 (range, 2-9) in the 70 mg/m2 cohort. All patients experienced at least 1 treatment-emergent adverse event (AE). Grade ≥3 AEs occurring in ≥9% of patients, and any AE of interest are shown in Table 1. The only grade ≥3 AEs to occur in ≥2 patients (≥9%) were thrombocytopenia (56 mg/m2, n=2; 70 mg/m2, n=1), decreased neutrophil count (56 mg/m2, n=2; 70 mg/m2, n=1), anemia (56 mg/m2, n=2), and hypertension (56 mg/m2, n=1; 70 mg/m2, n=1). Although the numbers were small, there was no apparent difference in the incidence of dyspnea or hypertension between the 56 and 70 mg/m2 cohorts. Cardiac or renal failure of any grade was not reported at the time of the database snapshot in these patients with RRMM. Response rates after 4 cycles, as assessed by investigators, are shown in Table 2. Two patients in the 56 mg/m2 cohort did not complete 4 cycles: an 87-year old patient developed asymptomatic pulmonary hypertension (detected on a required echocardiogram study) and was taken off therapy; another patient withdrew consent. One patient in the 70 mg/m2 cohort had a partial response after cycle 1 but was found to have progressive disease in cycle 3 (listed as did not complete 4 cycles in Table 2). After 4 cycles, the response rates (investigator assessed), were 70% and 75% in the 56 and 70 mg/m2 cohorts (response assessment for 2 patients in the 70 mg/m2 cohort was missing at the time of the data cutoff). Conclusions: These results demonstrate that carfilzomib administered in a convenient once-weekly schedule in combination with lenalidomide and dexamethasone in patients with RRMM is safe with promising efficacy. The 70 mg/m2 dosing was selected for dose-expansion cohorts in RRMM and NDMM. An update on the expansion cohorts will be presented at the meeting. Disclosures Biran: Onyx: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau. Siegel:Novartis: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau; Merck: Honoraria; BMS: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Takeda: Honoraria, Speakers Bureau. Berdeja:Abbvie, Acetylon, Amgen, Bluebird, BMS, Calithera, Celgene, Constellation, Curis, Epizyme, Janssen, Karyopharm, Kesios, Novartis, Onyx, Takeda, Tragara: Research Funding. Faber:Celgene: Speakers Bureau; Cardinal Health: Honoraria; Gilead: Consultancy, Honoraria. Seneviratne:Novartis Pharmaceuticals: Speakers Bureau. Alsina:Onyx: Speakers Bureau; Millenium Pharmaceuticals: Research Funding; Novartis: Research Funding; Signal Genetics: Consultancy; Onyx: Consultancy. Bensinger:Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Amgen: Honoraria, Research Funding, Speakers Bureau. Kimball:Amgen Inc.: Employment, Equity Ownership. Zhou:Amgen Inc.: Employment, Equity Ownership. Landgren:BMS: Honoraria; Takeda: Honoraria; Novartis: Honoraria; Amgen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding.