Comparative Efficacy of Daratumumab Monotherapy and Pomalidomide Plus Low-Dose Dexamethasone in the Treatment of Multiple Myeloma: A Matching Adjusted Indirect Comparison.

BACKGROUND: Daratumumab (a human CD38-directed monoclonal antibody) and pomalidomide (an immunomodulatory drug) plus dexamethasone are both relatively new treatment options for patients with heavily pretreated multiple myeloma. A matching adjusted indirect comparison (MAIC) was used to compare absolute treatment effects of daratumumab versus pomalidomide + low-dose dexamethasone (LoDex; 40 mg) on overall survival (OS), while adjusting for differences between the trial populations. MATERIALS AND METHODS: The MAIC method reduces the risk of bias associated with naïve indirect comparisons. Data from 148 patients receiving daratumumab (16 mg/kg), pooled from the GEN501 and SIRIUS studies, were compared separately with data from patients receiving pomalidomide + LoDex in the MM-003 and STRATUS studies. RESULTS: The MAIC-adjusted hazard ratio (HR) for OS of daratumumab versus pomalidomide + LoDex was 0.56 (95% confidence interval [CI], 0.38-0.83; p = .0041) for MM-003 and 0.51 (95% CI, 0.37-0.69; p < .0001) for STRATUS. The treatment benefit was even more pronounced when the daratumumab population was restricted to pomalidomide-naïve patients (MM-003: HR, 0.33; 95% CI, 0.17-0.66; p = .0017; STRATUS: HR, 0.41; 95% CI, 0.21-0.79; p = .0082). An additional analysis indicated a consistent trend of the OS benefit across subgroups based on M-protein level reduction (≥50%, ≥25%, and <25%). CONCLUSION: The MAIC results suggest that daratumumab improves OS compared with pomalidomide + LoDex in patients with heavily pretreated multiple myeloma. IMPLICATIONS FOR PRACTICE: This matching adjusted indirect comparison of clinical trial data from four studies analyzes the survival outcomes of patients with heavily pretreated, relapsed/refractory multiple myeloma who received either daratumumab monotherapy or pomalidomide plus low-dose dexamethasone. Using this method, daratumumab conferred a significant overall survival benefit compared with pomalidomide plus low-dose dexamethasone. In the absence of head-to-head trials, these indirect comparisons provide useful insights to clinicians and reimbursement authorities around the relative efficacy of treatments.

Overall survival of patients with CLL treated with ibrutinib in the first line compared to second-line ibrutinib after chemotherapy/chemoimmunotherapy.

OBJECTIVE: To evaluate the overall survival (OS) of patients with chronic lymphocytic leukemia (CLL) receiving either ibrutinib monotherapy as a first-line (1L) treatment or chemotherapy/chemoimmunotherapy-based (CT/CIT) regimens in 1L followed by ibrutinib in the second line (1L CT/CIT-2L ibrutinib) after disease progression by emulating a randomized trial comparing both treatment sequences. METHODS: Patient-level data from the RESONATE-2 trial (NCT01722487) and real-world PHEDRA databases were analyzed. Three scenarios were considered using the following data sources: (1) RESONATE-2, (2) combined RESONATE-2/PHEDRA, (3) combined RESONATE-2/PHEDRA for 1L ibrutinib and PHEDRA for 1L CT/CIT-2L ibrutinib. Propensity score-based weights and inverse probability of censoring weighting were used to adjust for baseline (Scenarios 2 and 3) and time-dependent confounding (all scenarios), and to address potential biases. A weighted Cox proportional hazards model was used to estimate the OS hazard ratio (HR) and 95% confidence interval (CI) for 1L ibrutinib versus 1L CT/CIT-2L ibrutinib. RESULTS: Results from Scenario 1 showed a significantly lower risk of death with 1L ibrutinib compared with 1L chlorambucil followed by 2L ibrutinib (HR 0.35 [95% CI 0.20-0.62]). Results from Scenarios 2 and 3 demonstrated a reduced risk of death with 1L ibrutinib compared with 1L CT/CIT-2L ibrutinib (HR 0.35 [0.21-0.61] and 0.64 [0.39-1.04], respectively). CONCLUSION: The analyses consistently showed a reduced risk of death when ibrutinib was used as a 1L treatment in CLL compared with delaying its use until 2L after CT/CIT regimens, which suggests that initiating ibrutinib in 1L is advantageous for improving survival outcomes.

Feasibility of Indirect Treatment Comparisons Between Niraparib Plus Abiraterone Acetate and Other First-Line Poly ADP-Ribose Polymerase Inhibitor Treatment Regimens for Patients with BRCA1/2 Mutation-Positive Metastatic Castration-Resistant Prostate Cancer.

INTRODUCTION: Poly(ADP-ribose) polymerase inhibitors (PARPi) are a novel option to treat patients with metastatic castration-resistant prostate cancer (mCRPC). Niraparib plus abiraterone acetate and prednisone (AAP) is indicated for BRCA1/2 mutation-positive mCRPC. Niraparib plus AAP demonstrated safety and efficacy in the phase 3 MAGNITUDE trial (NCT03748641). In the absence of head-to-head studies comparing PARPi regimens, the feasibility of conducting indirect treatment comparisons (ITC) to inform decisions for patients with first-line BRCA1/2 mutation-positive mCRPC has been explored. METHODS: A systematic literature review was conducted to identify evidence from randomized controlled trials on relevant comparators to inform the feasibility of conducting ITCs via network meta-analysis (NMA) or population-adjusted indirect comparisons (PAIC). Feasibility was assessed based on network connectivity, data availability in the BRCA1/2 mutation-positive population, and degree of within- and between-study heterogeneity or bias. RESULTS: NMAs between niraparib plus AAP and other PARPi regimens (olaparib monotherapy, olaparib plus AAP, and talazoparib plus enzalutamide) were inappropriate due to the disconnected network, differences in trial populations related to effect modifiers, or imbalances within BRCA1/2 mutation-positive subgroups. The latter issue, coupled with the lack of a common comparator (except for olaparib plus AAP), also rendered anchored PAICs infeasible. Unanchored PAICs were either inappropriate due to lack of population overlap (vs. olaparib monotherapy) or were restricted by unmeasured confounders and small sample size (vs. olaparib plus AAP). PAIC versus talazoparib plus enzalutamide was not possible due to lack of published arm-level baseline characteristics and sufficient efficacy outcome data in the relevant population. CONCLUSION: The current randomized controlled trial evidence network does not permit robust comparisons between niraparib plus AAP and other PARPi regimens for patients with 1L BRCA-positive mCRPC. Decision-makers should scrutinize any ITC results in light of their limitations. Real-world evidence combined with clinical experience should inform treatment recommendations in this indication.

Matching-adjusted indirect comparison (MAIC) results confirmed by head-to-head trials: a case study in psoriasis.

BACKGROUND: Head-to-head comparisons through randomized controlled trials (RCTs) provide high-quality evidence to inform healthcare decisions. In their absence, indirect comparisons are often performed; however, evidence is limited on how valid matching-adjusted indirect comparison (MAIC)-based comparative efficacy estimates are vs. RCT-based estimates. OBJECTIVES: Compare MAIC and RCT results of guselkumab vs. secukinumab and ixekizumab to provide insight into the validity of results generated using MAIC methods. METHODS: Previously reported results from MAICs of guselkumab vs. secukinumab and ixekizumab were compared with results from ECLIPSE and IXORA-R RCTs based on risk differences between Psoriasis Area and Severity Index (PASI) 90 response rates. RESULTS: Risk difference (95% confidence interval) in PASI 90 response rates at week 48 for guselkumab vs. secukinumab was 14.4% (9.4%; 19.4%) in ECLIPSE and 9.4% (4.7%; 14.0%) in the MAIC. The risk difference at week 24 for guselkumab vs. ixekizumab was 0.0% (-5.4%; 5.4%) in IXORA-R and 0.7% (-5.1%; 6.4%) in the MAIC. CONCLUSIONS: Comparative efficacy results were consistent between MAICs and RCTs of guselkumab vs. secukinumab and ixekizumab. This analysis demonstrates that MAIC methods can provide valid relative treatment effect estimates when direct comparisons are lacking, particularly when trials with similar designs and patient populations inform the analysis.

Updated results from a matching-adjusted indirect comparison of efficacy outcomes for ciltacabtagene autoleucel in CARTITUDE-1 versus idecabtagene vicleucel in KarMMa for the treatment of patients with relapsed or refractory multiple myeloma.

OBJECTIVE: This study used the latest available data cuts from the CARTITUDE-1 and KarMMa clinical trials to update previously published matching-adjusted indirect treatment comparisons (MAICs) assessing the comparative efficacy of ciltacabtagene autoleucel (cilta-cel) versus the FDA-approved idecabtagene vicleucel (ide-cel) dose range of 300 to 450 × 106 CAR-positive T-cells in the treatment of patients with relapsed or refractory multiple myeloma (RRMM) who were previously treated with a proteasome inhibitor, an immunomodulatory drug, and an anti-CD38 monoclonal antibody (i.e. triple-class exposed). METHODS: MAICs were performed with the latest available individual patient data for cilta-cel (CARTITUDE-1) and published summary-level data for ide-cel (KarMMa). The analyses included treated patients from CARTITUDE-1 who satisfied the eligibility criteria for KarMMa. The MAIC adjusted for unbalanced baseline covariates of prognostic significance identified in the literature and by clinical expertise. Comparative efficacy was assessed for overall response rate (ORR), complete response or better (≥CR) rate, duration of response (DoR), progression-free survival (PFS), and overall survival (OS). RESULTS: Cilta-cel was associated with statistically significantly improved ORR (odds ratio [OR]: 94.93 [95% confidence interval [CI]: 21.86, 412.25; p < .0001]; relative risk [RR]: 1.34), ≥CR rate (OR: 5.65 [95% CI: 2.51, 12.69; p < .0001]; RR: 2.23), DoR (hazard ratio [HR]: 0.52 [95% CI: 0.30, 0.88; p = .0152]), PFS, (HR: 0.38 [95% CI: 0.24, 0.62; p < .0001]), and OS (HR: 0.43 [95% CI: 0.22, 0.88; p = .0200]) compared with ide-cel. CONCLUSIONS: These analyses demonstrate improved efficacy with cilta-cel versus ide-cel for all outcomes over longer follow-up and highlight its therapeutic potential in triple-class exposed RRMM patients.

Genomic biomarkers for a binary clinical outcome in early drug development microarray experiments.

In this article, we discuss methods to select three different types of genes (treatment related, response related, or both) and investigate whether they can serve as biomarkers for a binary outcome variable. We consider an extension of the joint model introduced by Lin et al. (2010) and Tilahun et al. (2010) for a continuous response. As the model has certain drawbacks in a binary setting, we also present a way to use classical selection methods to identify subgroups of genes, which are treatment and/or response related. We evaluate their potential to serve as biomarkers by applying DLDA to predict the response level.

Prevalence of Epidermal Growth Factor Receptor Exon 20 Insertion Mutations in Non-small-Cell Lung Cancer in Europe: A Pragmatic Literature Review and Meta-analysis.

BACKGROUND: Information on the epidemiology of uncommon EGFR mutations including exon 20 insertions amongst non-small-cell lung cancer (NSCLC) is lacking. OBJECTIVE: The objective of this pragmatic literature review (PLR) and meta-analysis was to generate robust prevalence and incidence estimates based on ranges of exon 20 insertion mutations reported in the literature. MATERIALS AND METHODS: Searches of MEDLINE, Embase, congresses and reference lists for articles published from 2013 in key European countries of interest (Belgium, France, Germany, Italy, The Netherlands, Spain, Sweden, Switzerland, United Kingdom) were performed. Articles were reviewed against pre-specified criteria and their quality was appraised using a published checklist. Prevalence estimates were synthesised by random-effects meta-analyses. RESULTS: Eighty unique studies of moderate-to-high quality were included in the PLR. The meta-analysed prevalence for EGFR mutations was 12.5% (95% confidence interval [CI]: 11.0, 14.1) in any stage NSCLC and 14.8% (12.8, 17.1) in advanced/metastatic NSCLC. The prevalence of exon 20 insertions was 0.7% (0.4, 1.1) in any stage NSCLC and 6.1% (4.0, 9.4) in any stage EGFR-positive NSCLC. Mutation status was primarily measured using direct sequencing or a combination of methods. One study reporting exon 20 insertions in advanced/metastatic disease was identified, which reported a prevalence of 0.5% in overall NSCLC and 4.0% in EGFR-positive NSCLC. CONCLUSIONS: EGFR exon 20 insertion mutations are rare in NSCLC. There is a high unmet need in patients with exon 20 insertions, including effective therapies. Prospective cohort studies are needed to better clinically characterise these patients.

Apalutamide Compared with Darolutamide for the Treatment of Non-metastatic Castration-Resistant Prostate Cancer: Efficacy and Tolerability in a Matching-Adjusted Indirect Comparison.

INTRODUCTION: Apalutamide and darolutamide are next-generation androgen receptor inhibitors that have demonstrated superior efficacy compared to placebo in men with non-metastatic castration-resistant prostate cancer (nmCRPC) receiving androgen deprivation therapy (ADT). In the absence of head-to-head studies, the present study sought to indirectly compare the efficacy and tolerability between these two treatments. METHODS: This anchored matching-adjusted indirect comparison (MAIC) used patient-level data from the phase 3, randomized, controlled SPARTAN study (apalutamide + ADT), weighted to match aggregate published data from the ARAMIS study (darolutamide + ADT) for clinically relevant baseline measures. Hazard ratios (HR) and 95% credible intervals (CrI) were estimated for efficacy endpoints: metastasis-free survival (MFS), prostate-specific antigen (PSA) progression, progression-free survival (PFS), and overall survival (OS). Odds ratios were estimated for tolerability outcomes: adverse events and serious adverse events. RESULTS: Before weighting, baseline characteristics from SPARTAN versus ARAMIS were different for median PSA (7.8 vs. 9.2 ng/mL), Eastern Cooperative Oncology Group performance status of 1 (23% vs. 31%), use of bone-targeted agents (10% vs. 4%), median time from initial diagnosis (94.9 vs. 85.4 months), and proportion of patients from North America (35% vs. 12%) and Europe (50% vs. 64%). After matching (n = 455), our analysis demonstrated that apalutamide + ADT had a Bayesian probability of being more effective than darolutamide + ADT for MFS [98.3%; HR 0.70 (95% CrI 0.51, 0.98)], PSA progression [~ 100%; HR 0.46 (95% CrI 0.33, 0.64)], and PFS [93.2%; HR 0.79 (95% CrI 0.59, 1.08)]. Results for OS and tolerability were similar between apalutamide + ADT and darolutamide + ADT. CONCLUSION: This anchored MAIC analysis of pivotal phase 3 studies in patients with nmCRPC suggests that apalutamide + ADT is more effective than darolutamide + ADT for MFS, progression-free survival (PFS), and prostate-specific antigen (PSA) progression, with a similar OS benefit and tolerability profile. TRIAL REGISTRATION: ARAMIS ClinicalTrials.gov number: NCT02200614; SPARTAN ClinicalTrials.gov number: NCT01946204.

Matching-Adjusted Indirect Treatment Comparison to Assess the Comparative Efficacy of Ciltacabtagene Autoleucel in CARTITUDE-1 Versus Belantamab Mafodotin in DREAMM-2, Selinexor-Dexamethasone in STORM Part 2, and Melphalan Flufenamide-Dexamethasone in HORIZON for the Treatment of Patients With Triple-Class Exposed Relapsed or Refractory Multiple Myeloma.

INTRODUCTION: This study estimated the comparative efficacy of ciltacabtagene autoleucel (cilta-cel; CARTITUDE-1), a chimeric antigen receptor (CAR)-T-cell therapy, versus 3 non-CAR-T therapies (belantamab mafodotin [DREAMM-2], selinexor plus dexamethasone [STORM Part 2], and melphalan flufenamide plus dexamethasone [HORIZON]), each with distinct mechanisms of action, for the treatment of patients with relapsed or refractory multiple myeloma (RRMM) who were triple-class exposed to an immunomodulatory drug, proteasome inhibitor, and an anti-CD38 monoclonal antibody. PATIENTS AND METHODS: Pairwise matching-adjusted indirect treatment comparisons (MAICs) were conducted using patient-level data for cilta-cel from CARTITUDE-1 and summary level data for each comparator (2.5 mg/kg cohort in DREAMM-2, modified intention-to-treat population in STORM Part 2, and triple-class refractory patients in HORIZON). Treated patients from CARTITUDE-1 who satisfied the eligibility of the comparator trial were included. MAICs adjusted for imbalances in important prognostic factors between CARTITUDE-1 and the comparator populations. Comparative efficacy of cilta-cel versus each therapy was estimated for overall response rate, complete response or better rate, progression-free survival, and overall survival. RESULTS: After adjustment, patients treated with cilta-cel demonstrated at least a 3.1-fold and at least a 10.3-fold increase in the likelihood of achieving an overall response or complete response or better, respectively, at least a 74% reduction in the risk of disease progression or death, and at least a 47% reduction in the risk of death. These results were statistically significant. CONCLUSION: Cilta-cel showed improved efficacy over each comparator for all outcomes, demonstrating its potential as an efficacious treatment for patients with triple-class exposed RRMM.

FABIA: factor analysis for bicluster acquisition.

MOTIVATION: Biclustering of transcriptomic data groups genes and samples simultaneously. It is emerging as a standard tool for extracting knowledge from gene expression measurements. We propose a novel generative approach for biclustering called 'FABIA: Factor Analysis for Bicluster Acquisition'. FABIA is based on a multiplicative model, which accounts for linear dependencies between gene expression and conditions, and also captures heavy-tailed distributions as observed in real-world transcriptomic data. The generative framework allows to utilize well-founded model selection methods and to apply Bayesian techniques. RESULTS: On 100 simulated datasets with known true, artificially implanted biclusters, FABIA clearly outperformed all 11 competitors. On these datasets, FABIA was able to separate spurious biclusters from true biclusters by ranking biclusters according to their information content. FABIA was tested on three microarray datasets with known subclusters, where it was two times the best and once the second best method among the compared biclustering approaches. AVAILABILITY: FABIA is available as an R package on Bioconductor (http://www.bioconductor.org). All datasets, results and software are available at http://www.bioinf.jku.at/software/fabia/fabia.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Informative or noninformative calls for gene expression: a latent variable approach.

The strength and weakness of microarray technology can be attributed to the enormous amount of information it is generating. To fully enhance the benefit of microarray technology for testing differentially expressed genes and classification, there is a need to minimize the amount of irrelevant genes present in microarray data. A major interest is to use probe-level data to call genes informative or noninformative based on the trade-off between the array-to-array variability and the measurement error. Existing works in this direction include filtering likely uninformative sets of hybridization (FLUSH; Calza et al., 2007) and I/NI calls for the exclusion of noninformative genes using FARMS (I/NI calls; Talloen et al., 2007; Hochreiter et al., 2006). In this paper, we propose a linear mixed model as a more flexible method that performs equally good as I/NI calls and outperforms FLUSH. We also introduce other criteria for gene filtering, such as, R2 and intra-cluster correlation. Additionally, we include some objective criteria based on likelihood ratio testing, the Akaike information criteria (AIC; Akaike, 1973) and the Bayesian information criterion (BIC; Schwarz, 1978 ). Based on the HGU-133A Spiked-in data set, it is shown that the linear mixed model approach outperforms FLUSH, a method that filters genes based on a quantile regression. The linear model is equivalent to a factor analysis model when either the factor loadings are set to a constant with the variance of the latent factor equal to one, or if the factor loadings are set to one together with unconstrained variance of the latent factor. Filtering based on conditional variance calls a probe set informative when the intensity of one or more probes is consistent across the arrays, while filtering using R2 or intra-cluster correlation calls a probe set informative only when average intensity of a probe set is consistent across the arrays. Filtering based on likelihood ratio test AIC and BIC are less stringent compared to the other criteria.

Matching-adjusted indirect comparison of efficacy outcomes for ciltacabtagene autoleucel in CARTITUDE-1 versus idecabtagene vicleucel in KarMMa for the treatment of patients with relapsed or refractory multiple myeloma.

OBJECTIVE: This study estimated the comparative efficacy of ciltacabtagene autoleucel (cilta-cel) versus the approved idecabtagene vicleucel (ide-cel) dose range of 300-460 × 106 CAR-positive T-cells for the treatment of patients with relapsed or refractory multiple myeloma (RRMM) who were previously treated with a proteasome inhibitor, an immunomodulatory drug, and an anti-CD38 monoclonal antibody (i.e. triple-class exposed) using matching-adjusted indirect treatment comparisons (MAICs). METHODS: MAICs were performed with individual patient data for cilta-cel (CARTITUDE-1; NCT03548207) and published summary-level data for ide-cel (KarMMa; NCT03361748). Treated patients from CARTITUDE-1 who satisfied the eligibility criteria for KarMMa were included in the analyses. The MAIC adjusted for unbalanced baseline covariates of prognostic significance identified in the literature and by clinical expertise. Comparative efficacy was estimated for overall response rate (ORR), complete response or better (≥CR) rate, duration of response (DoR), progression-free survival (PFS), and overall survival (OS). RESULTS: Cilta-cel was associated with statistically significantly improved ORR (odds ratio [OR]: 94.93 [95% confidence interval [CI]: 21.86, 412.25; p < .0001]; relative risk [RR]: 1.34), ≥CR rate (OR: 5.49 [95% CI: 2.47, 12.21; p < .0001]; RR: 2.21), DoR (hazard ratio [HR]: 0.50 [95% CI: 0.29, 0.87; p = .0137]), and PFS (HR: 0.37 [95% CI: 0.22, 0.62; p = .0002]) when compared with ide-cel. For OS, the results were in favor of cilta-cel and clinically meaningful but with a CI overlapping one (HR: 0.55 [95% CI: 0.29, 1.05; p = .0702]). CONCLUSIONS: These analyses demonstrate improved efficacy with cilta-cel versus ide-cel for all outcomes, highlighting its therapeutic potential in patients with triple-class exposed RRMM.

Efficacy of ustekinumab vs. advanced therapies for the treatment of moderately to severely active ulcerative colitis: a systematic review and network meta-analysis.

Objective: To compare the relative efficacy of ustekinumab (UST) vs. other therapies for 1-year response and remission rates in patients with moderate-severe UC.Methods: Randomized controlled trials reporting induction and maintenance efficacy of anti-TNFs (infliximab [IFX], adalimumab [ADA], golimumab [GOL]), vedolizumab (VDZ), tofacitinib (TOF) or UST were identified through a systematic literature review (SLR). Analyses were conducted for clinical response, clinical remission and endoscopic-mucosal healing for populations with and without failure of prior biologics (non-biologic failure [NBF]; biologic failure [BF]). Maintenance data from trials with re-randomized response designs were re-calculated to correspond to treat-through arms. Bayesian network meta-analyses (NMA) were conducted to obtain posterior distribution probabilities for UST to perform better than comparators.Results: Six trials included NBF patients and four included BF patients. In NBF patients, UST as a 1-year regimen showed higher probabilities of clinical response, remission and endoscopic-mucosal healing vs. all treatments: Bayesian probabilities of UST being better than active therapies ranged from 91% (VDZ) to 100% (ADA) for response; 82% (VDZ) to 99% (ADA) for remission and 82% (IFX) to 100% (ADA and GOL) for endoscopic-mucosal healing. In BF patients, UST was the most effective treatment (Q8W dose); however, effect sizes were smaller than in the NBF population.Conclusions: Results indicate a higher likelihood of response, remission and endoscopic-mucosal healing at 1 year with UST vs. comparators in the NBF population. In BF patients, a higher likelihood of response to UST vs. the most comparators was also observed, although results were more uncertain.

Impact of Abiraterone Acetate plus Prednisone or Enzalutamide on Patient-reported Outcomes in Patients with Metastatic Castration-resistant Prostate Cancer: Final 12-mo Analysis from the Observational AQUARiUS Study.

BACKGROUND: Few studies have examined patient-reported outcomes (PROs) with abiraterone acetate plus prednisone (abiraterone) versus enzalutamide in metastatic castration-resistant prostate cancer (mCRPC). OBJECTIVE: To determine the impact of abiraterone and enzalutamide on PROs. DESIGN, SETTING, AND PARTICIPANTS: AQUARiUS (NCT02813408) was a prospective, 12-mo, observational study in patients with mCRPC from Denmark, France, and the UK. INTERVENTION: Abiraterone or enzalutamide treatment according to routine practise. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: PROs were collected over 12 mo using Functional Assessment of Cancer Therapy-Cognitive Function (FACT-Cog), Brief Fatigue Inventory-Short Form (BFI-SF), Brief Pain Inventory-Short Form, and European Organisation for Research and Treatment of Cancer-Quality of Life Questionnaire (QLQ-C30) at baseline and routine visits. Outcomes included mean change in PROs, patients with clinically meaningful worsening (CMW) in PROs, and safety. Data were analysed using repeated measures linear and logistic models adjusted for baseline characteristics. RESULTS AND LIMITATIONS: Abiraterone-treated (N = 105) and enzalutamide-treated (N = 106) patients were included. Key PRO items (cognitive impairments and fatigue) were significantly (p < 0.05) in favour of abiraterone versus enzalutamide during the study. "Perceived cognitive impairment" and "comments from others" (FACT-Cog); "fatigue right now", "usual level of fatigue", and "worst level of fatigue" (BFI-SF); and "cognitive functioning" and "fatigue" (QLQ-C30) were significantly in favour of abiraterone over enzalutamide for three or more consecutive periods up to month 12. From study initiation, significantly fewer patients receiving abiraterone experienced one or more CMW episode in cognition and fatigue. Fatigue and asthenia (adverse events) were lower with abiraterone than with enzalutamide (5% vs 15% and 10% vs 11%, respectively). There were no treatment-related deaths. Limitations included lack of randomisation. CONCLUSIONS: In a real-world setting, this 12-mo analysis suggests an advantage of abiraterone acetate plus prednisone over enzalutamide on fatigue and cognitive function; this finding occurred early after treatment initiation. This difference should be considered when choosing treatment. PATIENT SUMMARY: This study looked at the effect of two treatments (abiraterone acetate plus prednisone and enzalutamide) for metastatic castration-resistant prostate cancer on patient quality of life over 12 mo. Using established questionnaires, patients reported that they experienced less fatigue and cognitive impairments (including memory loss and reduced thinking abilities) with abiraterone acetate plus prednisone than with enzalutamide.

Matching-Adjusted Indirect Comparison of Health-Related Quality of Life and Adverse Events of Apalutamide Versus Enzalutamide in Non-Metastatic Castration-Resistant Prostate Cancer.

INTRODUCTION: The present study aimed to indirectly compare apalutamide and enzalutamide with respect to tolerability and health-related quality of life (HRQoL) among men with non-metastatic castration-resistant prostate cancer (nmCRPC). METHODS: Patient-level data from the SPARTAN study [apalutamide + androgen deprivation therapy (ADT) versus placebo + ADT] and aggregate published data from the PROSPER study (enzalutamide + ADT versus placebo + ADT) were used. Anchored matching-adjusted indirect comparison (MAIC) was conducted by weighting patients' baseline characteristics from SPARTAN to match aggregated baseline characteristics in PROSPER. Odds ratios (ORs) of reported adverse events (AEs) and baseline-to-follow-up least squares mean differences in HRQoL [measured with Functional Assessment of Cancer Therapy-Prostate (FACT-P) score] with 95% credible intervals were re-estimated for SPARTAN arms using weighted population and indirectly compared with those in PROSPER through a Bayesian framework. Events of special interest included fatigue, hot flush, nausea, diarrhea, hypertension, falls, dizziness, decreased appetite, arthralgia, asthenia and headache. In addition, any AEs and serious AEs were explored. RESULTS: Of 1207 SPARTAN patients, 1171 were matched to 1401 PROSPER patients. Relative to enzalutamide, apalutamide demonstrated better tolerability as evidenced by the highest probability of reduced occurrence of fatigue [p(OR < 1) = 99.5%], hypertension [p(OR < 1) = 99.2%], decreased appetite [p(OR < 1) = 98.3%], fall [p(OR < 1) = 90.3%], headaches [p(OR < 1) = 86.7%], and nausea [p(OR < 1) = 80.0%]. The probabilities of reduced occurrence of any AEs and SAEs with apalutamide versus enzalutamide were 66.9% and 90.9%, respectively. Relative to enzalutamide, apalutamide treatment was associated with a higher probability of a better HRQoL based on the FACT-P total score [p(diff > 0) = 73.1%]. The probability of a better HRQoL with apalutamide versus enzalutamide was highest for the physical [p(diff > 0) = 97.3%] and functional [p(diff > 0) = 86.7%] wellbeing subscales, and the pain-related subscale [p(diff > 0) = 90.1%]. CONCLUSION: Anchored MAIC suggests that treatment of men with nmCRPC with apalutamide is associated with a higher probability of better tolerability due to fewer AEs and better HRQoL than enzalutamide.

Matching-Adjusted Indirect Comparison of the Efficacy of Apalutamide and Enzalutamide with ADT in the Treatment of Non-Metastatic Castration-Resistant Prostate Cancer.

INTRODUCTION: Apalutamide and enzalutamide are next-generation androgen receptor inhibitors that demonstrated efficacy in placebo-controlled studies (SPARTAN for apalutamide; PROSPER for enzalutamide) when used in combination with androgen deprivation therapy (ADT) for treatment of non-metastatic castration-resistant prostate cancer (nmCRPC). In the absence of comparative studies between these agents, the present study sought to indirectly compare metastasis-free survival (MFS) and overall survival (OS) in patients with nmCRPC who received these therapies. METHODS: Individual patient-level data from SPARTAN (apalutamide plus ADT) and published data from PROSPER (enzalutamide plus ADT) were utilized. An anchored matching-adjusted indirect comparison (MAIC) was conducted by weighting the patients from the SPARTAN study to match baseline characteristics reported for PROSPER. Hazard ratios (HRs) for MFS and OS were re-estimated for SPARTAN using weighted Cox proportional hazards models and indirectly compared with those of PROSPER using a Bayesian network meta-analysis. RESULTS: From the SPARTAN population (N = 1207), a total of 1171 patients were matched to the PROSPER population (N = 1401). The recalculated HRs (95% confidence interval) for apalutamide versus ADT based on the reweighted SPARTAN data to mimic the PROSPER patient population were 0.26 (0.21; 0.33) for MFS and 0.62 (0.41; 0.94) for OS. MAIC-based HRs (95% credible interval) for apalutamide versus enzalutamide were 0.91 (0.68; 1.22) for MFS and 0.77 (0.46; 1.30) for OS. The Bayesian probabilities of apalutamide being more effective than enzalutamide were 73.6% for MFS and 83.5% for OS. CONCLUSIONS: MAIC results suggest that nmCRPC patients treated with apalutamide have a higher probability of a more favorable MFS and OS compared with those treated with enzalutamide.

A cross-validation study to select a classification procedure for clinical diagnosis based on proteomic mass spectrometry.

We present an approach to construct a classification rule based on the mass spectrometry data provided by the organizers of the "Classification Competition on Clinical Mass Spectrometry Proteomic Diagnosis Data." Before constructing a classification rule, we attempted to pre-process the data and to select features of the spectra that were likely due to true biological signals (i.e., peptides/proteins). As a result, we selected a set of 92 features. To construct the classification rule, we considered eight methods for selecting a subset of the features, combined with seven classification methods. The performance of the resulting 56 combinations was evaluated by using a cross-validation procedure with 1000 re-sampled data sets. The best result, as indicated by the lowest overall misclassification rate, was obtained by using the whole set of 92 features as the input for a support-vector machine (SVM) with a linear kernel. This method was therefore used to construct the classification rule. For the training data set, the total error rate for the classification rule, as estimated by using leave-one-out cross-validation, was equal to 0.16, with the sensitivity and specificity equal to 0.87 and 0.82, respectively.

Adjusting Overall Survival Estimates for Treatment Switching in Metastatic, Castration-Sensitive Prostate Cancer: Results from the LATITUDE Study.

BACKGROUND: LATITUDE was the first phase 3 trial examining the survival benefit of adding abiraterone acetate (AA) + prednisone (P) to androgen-deprivation therapy (ADT) in newly diagnosed metastatic, castration-sensitive prostate cancer (mCSPC). Due to significant improvement in overall survival after the first interim analysis, patients in the placebos + ADT arm could switch to AA + P + ADT during an open-label extension. As in other studies where switching is allowed, statistical adjustments are needed to assess the real benefit of new drugs. PATIENTS AND METHODS: This was a post hoc analysis to estimate the true survival benefit of AA + P + ADT in patients with newly diagnosed mCSPC by applying statistical adjustments commonly used to adjust for treatment switching. RESULTS: Of 112 patients still receiving placebos + ADT at the first interim analysis, 72 switched to AA + P + ADT during the open-label extension. Final analysis was conducted after median follow-up of 51.8 months. Compared to the placebos + ADT arm, the risk of death in the AA + P + ADT arm was 34% lower [hazard ratio (HR) = 0.663 (95% confidence interval 0.566-0.778)] by unadjusted intent-to-treat analysis, 37% lower [HR = 0.629 (95% confidence interval 0.526-0.753)] by rank preserving structure failure time modeling, and 38% lower [HR = 0.616 (95% confidence interval 0.524-0.724)] by inverse probability of censoring weights. CONCLUSIONS: Analyses adjusting for treatment switching using two different statistical approaches confirm the improved survival benefit of adding AA + P to ADT in patients with newly diagnosed mCSPC. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT01715285.

Using linear mixed models for normalization of cDNA microarrays.

Microarrays are a tool for measuring the expression levels of a large number of genes simultaneously. In the microarray experiment, however, many undesirable systematic variations are observed. Correct identification and removal of these variations is essential to allow the comparison of expression levels across experiments. We describe the use of linear mixed models for the normalization of two-color spotted microarrays for various sources of variation including printtip variation. Normalization with linear mixed models provides a parametric model of which results compare favorably to intensity dependent normalization LOWESS methods. We illustrate the use of this technique on two datasets. The first dataset contains 24 arrays, each with approximately 600 genes, replicated 3 times per array. A second dataset, coming from the apo AI experiment, was used to further illustrate the methods. Finally, a simulation study was done to compare between methods.

An Indirect Comparison of Changes in the Impact of Weight on Quality of Life Among Subjects with Type 2 Diabetes Treated with Antihyperglycemic Agents in Dual Therapy with Metformin.

INTRODUCTION: It is important to capture the patient experience with a diabetes treatment in clinical trials; however, use of instruments to assess patient-reported outcomes (PROs) in diabetes trials is inconsistent and results may not be reported alongside primary efficacy data. In lieu of head-to-head data, indirect comparisons can be used to compare competing interventions. In this study, we used indirect comparison methods to assess differences in PRO score changes between canagliflozin and other antihyperglycemic agents as add-on to metformin. METHODS: Literature searches were performed to identify studies that reported the same PRO instruments that were collected across four trials of canagliflozin in dual or triple therapy. Extensive searches identified only one study that was sufficiently similar in design and reported common PRO results using the Impact of Weight on Quality of Life-Lite (IWQoL-Lite): the DURATION-2 study of exenatide once-weekly (QW) versus sitagliptin and pioglitazone. This study was compared with the CANTATA-D study of canagliflozin versus sitagliptin. Bayesian indirect comparisons were performed to assess mean change in IWQoL-Lite total score. A fixed-effects model with noninformative priors was used to estimate between-treatment differences. Sensitivity analyses examined differences in trial populations. RESULTS: In the primary analysis, the probability that canagliflozin treatment results in greater improvement in IWQoL-Lite total score versus exenatide, sitagliptin, and pioglitazone was 60.0%, 89.9%, and 99.5%, respectively. When the CANTATA-D population was restricted using DURATION-2 inclusion/exclusion criteria, canagliflozin was also associated with a higher probability of having greater improvement in IWQoL-Lite than exenatide, sitagliptin, and pioglitazone. CONCLUSIONS: These findings suggest that improvements in the impact of weight on health-related quality of life may be greater with canagliflozin than exenatide, sitagliptin, and pioglitazone. This analysis also demonstrates the application of indirect comparison methodology to PRO data and provides examples of advantages and challenges associated with performing indirect comparisons of PRO data.