A lack of association between BMI and chemoimmunotherapy efficacy in advanced non-small cell lung cancer: Secondary analysis of the IMpower150 and IMpower130 clinical trials.

BACKGROUND: Multiple studies have indicated that patients with high body mass index (BMI) may have favourable survival outcomes following treatment with an immune checkpoint inhibitor (ICI). However, this evidence is limited by several factors, notably the minimal evidence from randomised controlled trials (RCTs), the use of categorised BMI with inconsistent cut point definitions, and minimal investigation of contemporary combination ICI therapy. Moreover, whether overweight and obese patients gain a larger benefit from contemporary frontline chemoimmunotherapy in non-small cell lung cancer (NSCLC) is unclear. METHODS: This secondary analysis pooled individual patient data from the intention-to-treat population of the IMpower130 and IMpower150 RCTs comparing chemoimmunotherapy versus chemotherapy. Co-primary outcomes were overall survival (OS) and progression-free survival (PFS). The potentially non-linear relationship between BMI and chemoimmunotherapy treatment effect was evaluated using Multivariable Fractional Polynomial Interaction (MFPI). As a sensitivity analysis, chemoimmunotherapy treatment effect (chemoimmunotherapy versus chemotherapy) on survival was also estimated for each BMI subgroup defined by World Health Organisation classification. Exploratory analyses in the respective chemoimmunotherapy and chemotherapy cohort were undertaken to examine the survival outcomes among BMI subgroups. RESULTS: A total of 1282 patients were included. From the MFPI analysis, BMI was not significantly associated with chemoimmunotherapy treatment effect with respect to either OS (p = 0.71) or PFS (p = 0.35). This was supported by the sensitivity analyses that demonstrated no significant treatment effect improvement in OS/PFS among overweight or obese patients compared to normal weight patients (OS: normal BMI HR = 0.74 95% CI 0.59-0.93, overweight HR = 0.78 95% CI 0.61-1.01, obese HR = 0.84 95% CI 0.59-1.20). Exploratory analyses further highlighted that survival outcomes were not significantly different across BMI subgroups in either the chemoimmunotherapy therapy cohort (Median OS: normal BMI 19.9 months, overweight 17.9 months, and obese 19.5 months, p = 0.7) or the chemotherapy cohort (Median OS: normal 14.1 months, overweight 15.9 months, and obese 16.7 months, p = 0.7). CONCLUSION: There was no association between high BMI (overweight or obese individuals) and enhanced chemoimmunotherapy treatment benefit in front-line treatment of advanced non-squamous NSCLC. This contrasts with previous publications that showed a superior treatment benefit in overweight and obese patients treated with immunotherapy given without chemotherapy.

Establishing the capacity to monitor proteins relevant to the study of drug exposure and response using liver-derived extracellular vesicles.

AIMS: Drug exposure and response is determined by pharmacokinetic (PK) and pharmacodynamic (PD) profiles. Interindividual differences in abundance of drug metabolizing enzymes (DMEs) and drug target proteins underpin PK and PD variability and impact treatment efficacy and tolerability. Extracellular vesicles (EVs) carry protein cargo inherited from originating cells and may be useful for defining differences in key proteins related to hepatic drug metabolism and the treatment of metabolic-associated fatty liver disease (MAFLD). We sought to quantify these proteins in liver-derived EVs and establish the profile relative to paired tissue. METHODS: EVs were recovered from human liver tissue samples (LT-EV, n = 11). Targeted liquid chromatography with tandem mass spectrometry (LC-MS/MS) assays were employed for absolute quantification of proteins in EV isolates and matched liver tissue. RESULTS: DMEs and MAFLD drug targets were readily detected and quantified in LT-EVs. Twelve of 15 DMEs exhibited moderate to strong correlation (Spearman ⍴ = 0.618-0.973) between tissue and EVs. Correlation in protein abundance was influenced by the extent of extra-hepatic expression of the target. CONCLUSIONS: This study provides evidence that key proteins related to PK and PD profiles can be measured in liver-derived EVs and abundance of liver-enriched DMEs are robustly correlated between paired tissue and EVs. The robust detection of protein markers related to drug PD profile in MAFLD opens the possibility to track within-subject changes in MAFLD and lays the foundation for future development of a liver-derived EV liquid biopsy to assess markers of drug exposure and response in vivo.

Proteomic profiling of paired human liver homogenate and tissue derived extracellular vesicles.

Advances in technologies to isolate extracellular vesicles (EVs) and detect/quantify their cargo underpin the novel potential of these circulating particles as a liquid biopsy to understand physiology and disease. One organ of particular interest in terms of utilizing EVs as a liquid biopsy is the liver. The extent to which EVs originating from the liver reflect the functional status of this organ remains unknown. This is an important knowledge gap that underpins the utility of circulating liver derived EVs as a liquid biopsy. The primary objective of this study was to characterize the proteomic profile of EVs isolated from the extracellular space of liver tissue (LEV) and compare this profile to that of paired tissue (LH). LCMS analyses detected 2892 proteins in LEV and 2673 in LH. Of the 2673 proteins detected in LH, 1547 (58%) were also detected in LEV. Bioinformatic analyses demonstrated comparable representation of proteins in terms of biological functions and cellular compartments. Although, enriched representation of membrane proteins and associated functions was observed in LEV, while representation of nuclear proteins and associated functions was depleted in LEV. These data support the potential use of circulating liver derived EVs as a liquid biopsy for this organ.

Low Risk of Hyperprogression with First-Line Chemoimmunotherapy for Advanced Non-Small Cell Lung Cancer: Pooled Analysis of 7 Clinical Trials.

BACKGROUND: Monotherapy immune checkpoint inhibitor (ICI) used in second- or later-line settings has been reported to induce hyperprogression. This study evaluated hyperprogression risk with ICI (atezolizumab) in the first-, second-, or later-line treatment of advanced non-small cell lung cancer (NSCLC), and provides insights into hyperprogression risk with contemporary first-line ICI treatment. METHODS: Hyperprogression was identified using Response Evaluation Criteria in Solid Tumours (RECIST)-based criteria in a dataset of pooled individual-participant level data from BIRCH, FIR, IMpower130, IMpower131, IMpower150, OAK, and POPLAR trials. Odds ratios were computed to compare hyperprogression risks between groups. Landmark Cox proportional-hazard regression was used to evaluate the association between hyperprogression and progression-free survival/overall survival. Secondarily, putative risk factors for hyperprogression among second- or later-line atezolizumab-treated patients were evaluated using univariate logistic regression models. RESULTS: Of the included 4644 patients, 119 of the atezolizumab-treated patients (n = 3129) experienced hyperprogression. Hyperprogression risk was markedly lower with first-line atezolizumab-either chemoimmunotherapy or monotherapy-compared to second/later-line atezolizumab monotherapy (0.7% vs. 8.8%, OR = 0.07, 95% CI, 0.04-0.13). Further, there was no statistically significant difference in hyperprogression risk with first-line atezolizumab-chemoimmunotherapy versus chemotherapy alone (0.6% vs. 1.0%, OR = 0.55, 95% CI, 0.22-1.36). Sensitivity analyses using an extended RECIST-based criteria including early death supported these findings. Hyperprogression was associated with worsened overall survival (HR = 3.4, 95% CI, 2.7-4.2, P < .001); elevated neutrophil-to-lymphocyte ratio was the strongest risk factor for hyperprogression (C-statistic = 0.62, P < .001). CONCLUSIONS: This study presents first evidence for a markedly lower hyperprogression risk in advanced NSCLC patients treated with first-line ICI, particularly with chemoimmunotherapy, as compared to second- or later-line ICI treatment.

A 10-year update to the principles for clinical trial data sharing by pharmaceutical companies: perspectives based on a decade of literature and policies.

Data sharing is essential for promoting scientific discoveries and informed decision-making in clinical practice. In 2013, PhRMA/EFPIA recognised the importance of data sharing and supported initiatives to enhance clinical trial data transparency and promote scientific advancements. However, despite these commitments, recent investigations indicate significant scope for improvements in data sharing by the pharmaceutical industry. Drawing on a decade of literature and policy developments, this article presents perspectives from a multidisciplinary team of researchers, clinicians, and consumers. The focus is on policy and process updates to the PhRMA/EFPIA 2013 data sharing commitments, aiming to enhance the sharing and accessibility of participant-level data, clinical study reports, protocols, statistical analysis plans, lay summaries, and result publications from pharmaceutical industry-sponsored trials. The proposed updates provide clear recommendations regarding which data should be shared, when it should be shared, and under what conditions. The suggested improvements aim to develop a data sharing ecosystem that supports science and patient-centred care. Good data sharing principles require resources, time, and commitment. Notwithstanding these challenges, enhancing data sharing is necessary for efficient resource utilization, increased scientific collaboration, and better decision-making for patients and healthcare professionals.

Female reproductive status and exogenous sex hormone use in rheumatoid arthritis patients treated with tocilizumab and csDMARDs.

OBJECTIVES: Sex is well known to influence risk, severity and treatment outcomes of RA, although the underlying causes are uncertain. The aim of this research was to examine whether factors influencing female sex hormones (reproductive status and exogenous sex hormone use) are associated with the efficacy of DMARDs. METHODS: Individual participant data were pooled from five phase 3 clinical trials where RA patients were treated with tocilizumab and/or conventional synthetic DMARDs. The primary outcome was the time to first remission according to the Simplified Disease Activity Index. The relationship between menopausal status or use of exogenous sex hormones and the time of first remission was assessed via Cox proportional analysis. Analysed data included sex, baseline menopausal status (premenopausal, perimenopausal, early postmenopausal and postmenopausal), participant age, body mass index, race, number of previous DMARDs and baseline disease activity. RESULTS: Analysis included 4474 female patients, of whom 2817 (62.9%) were postmenopausal, 202 (4.5%) were early postmenopausal, 1021 (22.8%) were premenopausal and 414 (9.2%) were perimenopausal. Of these, 221 (7.8%), 13 (6.4%), 255 (25%) and 47 (11.4%), respectively, were taking exogenous sex hormones. In the pooled analysis, perimenopausal status was associated with reduced remission compared with premenopausal status [adjusted HR 0.78 (95% CI 0.61, 0.99)]. Sex hormone use was associated with significantly higher remission [adjusted HR 1.20 (95% CI 1.01, 1.43)]. CONCLUSION: Perimenopausal women were less likely to achieve remission compared with premenopausal RA patients. The use of exogenous sex hormones appeared to be associated with more frequent remission in female RA patients, particularly those who were perimenopausal and early postmenopausal, although further research is required to confirm and identify the drivers for this observation and how it interacts with menopausal status.

Efficacy of first-line atezolizumab combination therapy in patients with non-small cell lung cancer receiving proton pump inhibitors: post hoc analysis of IMpower150.

BACKGROUND: Proton pump inhibitors (PPIs) are commonly used concomitant to cancer treatment and they induce gut microbiota changes. It is increasingly apparent that gut dysbiosis can reduce the effectiveness of immune checkpoint inhibitors (ICI). However, little is known about PPI effects on outcomes with ICIs, particularly in combination, ICI approaches. METHODS: Post hoc, Cox proportional hazard analysis of phase III trial, IMpower150 was conducted to assess the association between PPI use and overall survival (OS) and progression-free survival (PFS) in chemotherapy-naive, metastatic non-squamous non-small cell lung cancer participants randomised atezolizumab plus carboplatin plus paclitaxel (ACP), bevacizumab plus carboplatin plus paclitaxel (BCP), or atezolizumab plus BCP (ABCP). PPI use was defined as any PPI administration between 30 days prior and 30 days after treatment initiation. RESULTS: Of 1202 participants, 441 (37%) received a PPI. PPI use was independently associated with worse OS (n = 748; hazard ratio (HR) [95% confidence interval (CI)] = 1.53 [1.21-1.95], P < 0.001) and PFS (1.34 [1.12-1.61], P = 0.002) in the pooled atezolizumab arms (ACP plus ABCP). This association was not apparent for BCP (n = 368; OS 1.01 [0.73-1.39], P = 0.969; PFS 0.97 [0.76-1.25], P = 0.827). The observed OS treatment effect (HR 95% CI) of the atezolizumab (ACP plus ABCP) arms vs BCP was 1.03 (0.77-1.36) for PPI users compared to 0.68 (0.54-0.86) for non-users (P [interaction] = 0.028). A similar association was noted for ABCP vs BCP (PPI users 0.96 [0.68-1.35]; PPI non-users 0.66 [0.50-0.87]; P [interaction] = 0.095). CONCLUSIONS: PPI use was a negative prognostic marker in patients treated with ACP or ABCP, but not BCP. The analysis suggests that PPIs negatively influence the magnitude of ICI efficacy.

Patient-Reported Outcomes Predict Progression-Free Survival of Patients with Advanced Breast Cancer Treated with Abemaciclib.

BACKGROUND: Abemaciclib is a CDK4/6 inhibitor used to treat hormone receptor-positive, human epidermal growth factor receptor 2-negative advanced breast cancer. The prognostic value of patient-reported outcomes (PROs) has been minimally explored for treatment outcomes with CDK4/6 inhibitors. The performance of PROs compared with Eastern Cooperative Oncology Group performance status (ECOG-PS) is unknown. MATERIALS AND METHODS: This study pooled data from single-arm trial, MONARCH 1, and randomized trials, MONARCH 2 and 3. In total, 900 patients initiated abemaciclib and 384 comparator therapy. Pretreatment PRO association with progression-free survival (PFS) was modeled using Cox proportional hazards regression. Prediction performance was assessed via the C-statistic (c). PROs were recorded via the European Organisation for Research and Treatment of Cancer QLQ-C30. RESULTS: Patient-reported physical function, pain, role function, fatigue, and appetite loss were associated with PFS on univariable and adjusted analysis (p < .05). Physical function (c = 0.55) was most predictive, superior to ECOG-PS (c = 0.54), with multivariable analysis indicating both provide independent information (p < .02). In the pooled randomized arms of MONARCH 2 and 3, the PFS treatment benefit (hazard ratio [95% confidence interval]) of abemaciclib (vs. comparators) was 0.75 (0.57-1.0) for low physical function, compared with 0.48 (0.40-0.59) for intermediate/high (p[interaction] = .01). CONCLUSION: PROs were identified as prognostic factors for PFS in patients initiating abemaciclib, with patient-reported physical function containing independent predictive information beyond ECOG-PS. Low physical function was associated with a decrease in the magnitude of PFS benefit from abemaciclib. PROs should be explored as prognostic, predictive, and stratification factors for clinical use and research trials of CDK4/6 inhibitors. IMPLICATIONS FOR PRACTICE: For the first time, pretreatment patient-reported outcomes have been shown to be independent prognostic markers for progression-free survival (PFS) in patients diagnosed with hormone receptor-positive, human epidermal growth factor receptor 2-negative (HR+/HER2-) advanced breast cancer treated with abemaciclib. Importantly, patients with low physical function had a smaller PFS benefit from abemaciclib (vs. comparator) than patients with intermediate/high physical function. The present study demonstrates patient-reported outcomes as a simple, effective, inexpensive, and independent prognostic marker for patients with HR+/HER2- advanced breast cancer treated with abemaciclib.

Role of Extracellular Vesicle-Derived Biomarkers in Drug Metabolism and Disposition.

Extracellular vesicles (EVs) are small, nonreplicating, lipid-encapsulated particles that contain a myriad of protein and nucleic acid cargo derived from their tissue of origin. The potential role of EV-derived biomarkers to the study of drug metabolism and disposition (DMD) has gained attention in recent years. The key trait that makes EVs an attractive biomarker source is their capacity to provide comparable insights to solid organ biopsy through an appreciably less invasive collection procedure. Blood-derived EVs exist as a heterogenous milieu of biologically distinct particles originating from different sources through different biogenesis pathways. Furthermore, blood (plasma and serum) contains an array of vesicular and nonvesicular contaminants, such as apoptotic bodies, plasma proteins, and lipoproteins that are routinely coisolated with EVs, albeit to a different extent depending on the isolation technique. The following minireview summarizes current studies reporting DMD biomarkers and addresses elements of EV isolation and quantification relevant to the application of EV-derived DMD biomarkers. Evidence based-best practice guidance aligned to Minimum Information for the Study of Extracellular Vesicles and EV-TRACK reporting standards are summarized in the context of DMD studies. SIGNIFICANCE STATEMENT: Extracellular vesicle (EV)-derived protein and nucleic acid cargo represent a potentially game-changing source of novel DMD biomarkers with the capacity to define within- and between-individual variability in drug exposure irrespective of etiology. However, robust translation of EV-derived biomarkers requires the generation of transparent reproducible evidence. This review outlines the critical elements of data generation and reporting relevant to achieving this evidence in a drug metabolism and disposition context.

Proton Pump Inhibitors and Survival in Patients With Colorectal Cancer Receiving Fluoropyrimidine-Based Chemotherapy.

BACKGROUND: Concomitant use of proton pump inhibitors (PPIs) may negatively affect the efficacy of anticancer drugs such as fluoropyrimidines in patients with colorectal cancer (CRC). The primary objective of this study was to assess whether there is an association between concomitant PPI use and survival outcomes in patients with CRC treated with a fluoropyrimidine-based chemotherapy. PATIENTS AND METHODS: A secondary analysis of 6 randomized controlled clinical trials in patients with advanced CRC was conducted using individual patient data through data-sharing platforms. The outcome measures were progression-free survival and overall survival in PPI users and nonusers. Subgroup analysis included the type of chemotherapy, capecitabine versus 5-FU, line of therapy, and addition of a vascular endothelial growth factor receptor inhibitor. Overall pooled hazard ratios (HRs) with 95% confidence intervals were calculated using a random effects model. RESULTS: A total of 5,594 patients with advanced CRC across 6 trials and 11 trial arms were included; 902 patients were receiving a PPI at trial entry and initiation of chemotherapy. PPI use was significantly associated with worse overall survival (pooled HR, 1.20; 95% CI, 1.03-1.40; P=.02; I2 for heterogeneity = 69%) and progression-free survival (overall pooled HR, 1.20; 95% CI, 1.05-1.37; P=.009; I2 = 65%) after adjusting for clinical covariates. Furthermore, the association between concomitant PPI use and survival outcomes was similar across most treatment subgroups. CONCLUSIONS: We speculate that alterations in the gut microbiome, altered immune milieu within the tumor, and interactions through transporters are potential mechanisms behind this association between PPI use and chemotherapy in patients with CRC, which warrant further study. Concomitant use of PPIs is associated with worse survival outcomes in patients with CRC treated with fluoropyrimidine-based chemotherapy. Clinicians should cautiously consider the concomitant use of PPIs in such patients.

Use of Multiprognostic Index Domain Scores, Clinical Data, and Machine Learning to Improve 12-Month Mortality Risk Prediction in Older Hospitalized Patients: Prospective Cohort Study.

BACKGROUND: The Multidimensional Prognostic Index (MPI) is an aggregate, comprehensive, geriatric assessment scoring system derived from eight domains that predict adverse outcomes, including 12-month mortality. However, the prediction accuracy of using the three MPI categories (mild, moderate, and severe risk) was relatively poor in a study of older hospitalized Australian patients. Prediction modeling using the component domains of the MPI together with additional clinical features and machine learning (ML) algorithms might improve prediction accuracy. OBJECTIVE: This study aims to assess whether the accuracy of prediction for 12-month mortality using logistic regression with maximum likelihood estimation (LR-MLE) with the 3-category MPI together with age and gender (feature set 1) can be improved with the addition of 10 clinical features (sodium, hemoglobin, albumin, creatinine, urea, urea-to-creatinine ratio, estimated glomerular filtration rate, C-reactive protein, BMI, and anticholinergic risk score; feature set 2) and the replacement of the 3-category MPI in feature sets 1 and 2 with the eight separate MPI domains (feature sets 3 and 4, respectively), and to assess the prediction accuracy of the ML algorithms using the same feature sets. METHODS: MPI and clinical features were collected from patients aged 65 years and above who were admitted to either the general medical or acute care of the elderly wards of a South Australian hospital between September 2015 and February 2017. The diagnostic accuracy of LR-MLE was assessed together with nine ML algorithms: decision trees, random forests, extreme gradient boosting (XGBoost), support-vector machines, naïve Bayes, K-nearest neighbors, ridge regression, logistic regression without regularization, and neural networks. A 70:30 training set:test set split of the data and a grid search of hyper-parameters with 10-fold cross-validation-was used during model training. The area under the curve was used as the primary measure of accuracy. RESULTS: A total of 737 patients (female: 370/737, 50.2%; male: 367/737, 49.8%) with a median age of 80 (IQR 72-86) years had complete MPI data recorded on admission and had completed the 12-month follow-up. The area under the receiver operating curve for LR-MLE was 0.632, 0.688, 0.738, and 0.757 for feature sets 1 to 4, respectively. The best overall accuracy for the nine ML algorithms was obtained using the XGBoost algorithm (0.635, 0.706, 0.756, and 0.757 for feature sets 1 to 4, respectively). CONCLUSIONS: The use of MPI domains with LR-MLE considerably improved the prediction accuracy compared with that obtained using the traditional 3-category MPI. The XGBoost ML algorithm slightly improved accuracy compared with LR-MLE, and adding clinical data improved accuracy. These results build on previous work on the MPI and suggest that implementing risk scores based on MPI domains and clinical data by using ML prediction models can support clinical decision-making with respect to risk stratification for the follow-up care of older hospitalized patients.

Patient-reported outcomes as a prognostic marker of survival in patients with advanced nonsmall cell lung cancer treated with immunotherapy.

There has been minimal research on the prognostic value of patient-reported outcomes (PROs) for immune checkpoint inhibitors (ICIs). The relative performance of PROs compared to established markers such as Eastern Cooperative Oncology Group Performance Status (ECOG-PS) and the Lung Immune Prognostic Index (LIPI) is unknown. In our study, data from the advanced nonsmall cell lung cancer (NSCLC) single-arm atezolizumab trials BIRCH, FIR and randomised-trials OAK, POPLAR (atezolizumab vs docetaxel) were pooled. The study included 1548 participants who initiated atezolizumab. The associations between pretreatment PROs and overall survival (OS) and progression-free survival (PFS) were modelled using Cox proportional hazards regression. Prediction performance was assessed using the C-statistic (c). PROs were recorded via the EORTC QLQ-C30 and QLQ-LC13. Patient-reported physical function, fatigue, global health, appetite, role function, pain, dyspnoea, social function, constipation, nausea-vomiting, emotional function and coughing were significantly associated with OS and PFS on univariable and adjusted analysis (P < .05). Physical function (c = 0.654), fatigue (c = 0.653) and global health (c = 0.650) were the most predictive variables for OS. Comparatively, the OS prediction performance of physical function (c = 0.65) was superior to ECOG-PS (c = .59) and LIPI (c = 0.63). On multivariable analysis physical function, ECOG-PS and LIPI were all significant (P < .001). In conclusion, PROs were identified as independent prognostic factors for OS and PFS in advanced NSCLC patients receiving ICI therapy. Further, patient-reported physical function was more predictive of OS than ECOG-PS and LIPI and contained independent information. This highlights the value of PROs as prognostic and stratification factors for clinical use and research trials of ICIs.

Risk factors for severe rash with use of vemurafenib alone or in combination with cobimetinib for advanced melanoma: pooled analysis of clinical trials.

BACKGROUND: Rash is one of the most common severe adverse events associated with use of vemurafenib for the treatment of melanoma, either as monotherapy or in combination with cobimetinib. The study aimed to identify pre-treatment patient characteristics predictive of developing severe rash with vemurafenib therapy. METHODS: This was a secondary pooled analysis of individual patient data from the BRIM-2, BRIM-3 and coBRIM clinical trials, including all patients treated with vemurafenib alone and vemurafenib plus cobimetinib. Patient age, sex, performance status, body weight, body mass index, liver function markers and estimated glomerular filtration rate were assessed for association with development of severe (grade 3 or 4) rash using logistic regression. RESULTS: Of 962 patients treated with vemurafenib, 150 (16%) patients experienced severe rash. Female sex was identified as a significant risk factor for severe rash development (P < 0.001), having a two-fold increased risk compared to males (22% vs 11%, odds ratio [OR] 2.17; 95% CI 1.52 to 3.09). Low body weight was also associated with increased risk of severe rash (P = 0.002), but this association was not significant after adjustment for sex. The association between sex and risk of severe rash was consistent across clinical trials and treatments (vemurafenib monotherapy, vemurafenib plus cobimetinib). CONCLUSION: Females had approximately two-fold increased risk of developing severe rash compared to males in clinical trials of vemurafenib alone or in combination with cobimetinib.

Multiorgan Immune-Related Adverse Events During Treatment With Atezolizumab.

BACKGROUND: Immune-related adverse events (irAEs) are known to occur in patients with cancer who are treated with immune checkpoint inhibitors. However, limited literature exists on the incidence, time of onset, and risk factors for irAEs, particularly those affecting multiple organs, associated with anti-PD-L1 inhibitors. METHODS: A post hoc pooled analysis was conducted using individual patient data from atezolizumab monotherapy arms of 4 non-small cell lung cancer clinical trials. Incidence, clinical patterns, outcomes, and risk factors were investigated of selected organ-specific and multiorgan irAEs during treatment using the anti-PD-L1 inhibitor atezolizumab. RESULTS: From a total of 1,548 patients, 730 irAE episodes were reported in 424 patients (27%). Skin irAEs were the most common (42%), followed by laboratory abnormalities (27%) and endocrine (11.6%), neurologic (7.6%), and pulmonary (6.2%) irAEs. A total of 84 patients (5.4%) had multiorgan irAEs, 70 had 2, 13 had 3, and 1 had 4 different organs affected. "Skin plus" or "laboratory plus" were the most common irAE multiorgan clusters. Patients with multiorgan irAEs were more likely to be white and have a good performance status, a lower baseline neutrophil-lymphocyte ratio, and a good or intermediate lung immune prognostic index score. Multiorgan irAEs were also associated with improved overall survival (hazard ratio, 0.47; 95% CI, 0.28-0.78; P<.0001) but not with progression-free survival (hazard ratio, 0.92; 95% CI, 0.62-1.35; P=.74) compared with the cohort with no irAEs. CONCLUSIONS: Multiorgan irAEs occurred in 5.4% of patients treated with atezolizumab in non-small cell lung cancer trials. Future trials should consider routine reporting of data on multiorgan toxicities in addition to organ-specific toxicities.

Adjusting for Treatment Switching in Oncology Trials: A Systematic Review and Recommendations for Reporting.

OBJECTIVES: To systematically review the quality of reporting on the application of switching adjustment approaches in published oncology trials and industry submissions to the National Institute for Health and Care Excellence Although methods such as the rank preserving structural failure time model (RPSFTM) and inverse probability of censoring weights (IPCW) have been developed to address treatment switching, the approaches are not widely accepted within health technology assessment. This limited acceptance may partly be a consequence of poor reporting on their application. METHODS: Published trials and industry submissions were obtained from searches of PubMed and nice.org.uk, respectively. The quality of reporting in these studies was judged against a checklist of reporting recommendations, which was developed by the authors based on detailed considerations of the methods. RESULTS: Thirteen published trials and 8 submissions to nice.org.uk satisfied inclusion criteria. The quality of reporting around the implementation of the RPSFTM and IPCW methods was generally poor. Few studies stated whether the adjustment approach was prespecified, more than a third failed to provide any justification for the chosen method, and nearly half neglected to perform sensitivity analyses. Further, it was often unclear how the RPSFTM and IPCW methods were implemented. CONCLUSIONS: Inadequate reporting on the application of switching adjustment methods increases uncertainty around results, which may contribute to the limited acceptance of these methods by decision makers. The proposed reporting recommendations aim to support the improved interpretation of analyses undertaken to adjust for treatment switching.

Effect of early adverse events resulting in sorafenib dose adjustments on survival outcomes of advanced hepatocellular carcinoma patients.

BACKGROUND: Sorafenib is a current first-line treatment option for advanced hepatocellular carcinoma (HCC). This study aimed to evaluate the impact of early adverse events (AEs) requiring sorafenib dose adjustment on survival outcomes of patients with advanced HCC. METHODS: The study was a secondary analysis of the phase III clinical trial NCT00699374. A landmark Cox proportional hazard analysis was used to evaluate the association between early AEs requiring sorafenib dose adjustment with survival outcomes. The primary outcome was overall survival (OS) with progression-free survival (PFS) as secondary. RESULTS: AEs requiring sorafenib dose adjustment within the first 28 days of therapy were significantly associated with OS (HR [95% CI]; dose interruption = 0.9 [0.7-1.2]; dose reduction = 0.6 [0.5-0.9]; discontinuation = 1.7 [0.9-3.4]; P = 0.005). No statistically significant association with PFS was identified (P = 0.148). CONCLUSION: Sorafenib dose interruptions and reduction due to AEs did not compromise the survival outcomes of patient with advanced HCC. Patients who required a sorafenib dose reduction were observed to have more favourable OS compared to those who did not experience an AE which required a dose adjustment.

Effect of early adverse events resulting in ado-trastuzumab emtansine dose adjustments on survival outcomes of HER2+ advanced breast cancer patients.

PURPOSE: Ado-trastuzumab emtansine (T-DM1) treatment in HER2+ advanced breast cancer patients is generally well tolerated, but when adverse events occur dose adjustments may be required. This study evaluated the impact of early adverse events requiring T-DM1 dose interruptions or reductions on overall survival (OS) and progression-free survival (PFS) in HER2+ advanced metastatic breast cancer patients in the clinical trials EMILIA and TH3RESA. PATIENTS AND METHODS: The study included 893 participants initiated on T-DM1 treatment. A landmark approach set at 4 months was used to evaluate the association between early adverse events requiring T-DM1 dose interruptions or reductions and OS/PFS. Cox proportional hazard analysis modeled the association between events requiring T-DM1 dose interruptions or reductions and OS/PFS. Associations were reported as hazard ratios with 95% confidence intervals. RESULTS: Adverse events requiring T-DM1 dose interruptions or reductions within the first 4 months of treatment were not significantly associated with OS (hazard ratio (HR) [95% CI]: dose interrupted = 1.15 [0.85-1.55]; dose reduced = 0.75 [0.49-1.14]; P = 0.214) nor PFS (hazard ratio (HR) [95% CI]: dose interrupted = 1.13 [0.87-1.48]; dose reduced = 0.90 [0.62-1.31]; P = 0.534). CONCLUSION: The occurrence of early adverse events requiring T-DM1 dose interruptions or reductions do not appear to be associated with altered long-term OS or PFS within a pooled analysis of data from EMILIA and TH3RESA.

Plasma extracellular nanovesicle (exosome)-derived biomarkers for drug metabolism pathways: a novel approach to characterize variability in drug exposure.

AIMS: Demonstrate the presence of cytochrome P450 (CYP) and UDP-glucuronosyltransferase (UGT) proteins and mRNAs in isolated human plasma exosomes and evaluate the capacity for exosome-derived biomarkers to characterize variability in CYP3A4 activity. METHODS: The presence of CYP and UGT protein and mRNA in exosomes isolated from human plasma and HepaRG cell culture medium was determined by mass spectrometry and reverse transcription-polymerase chain reaction, respectively. The concordance between exosome-derived CYP3A4 biomarkers and midazolam apparent oral clearance (CL/F) was evaluated in a small proof-of-concept study involving six genotyped (CYP3A4 *1/*1 and CYP3A5 *3/*3) Caucasian males. RESULTS: Exosomes isolated from human plasma contained peptides and mRNA originating from CYP 1A2, 2B6, 2C8, 2C9, 2C19, 2D6, 2E1, 2 J2, 3A4 and 3A5, UGT 1A1, 1A3, 1A4, 1A6, 1A9, 2B4, 2B7, 2B10 and 2B15, and NADPH-cytochrome P450 reductase. Mean (95% confidence interval) exosome-derived CYP3A4 protein expression pre- and post-rifampicin dosing was 0.24 (0.2-0.28) and 0.42 (0.21-0.65) ng ml-1 exosome concentrate. Mean (95% confidence interval) exosome CYP3A4 mRNA expression pre- and post-rifampicin dosing was 6.0 (1.1-32.7) and 48.3 (11.3-104) × 10-11 2-ΔΔCt , respectively. R2 values for correlations of exosome-derived CYP3A4 protein expression, CYP3A4 mRNA expression, and ex vivo CYP3A4 activity with midazolam CL/F were 0.905, 0.787 and 0.832, respectively. CONCLUSIONS: Consistent strong concordance was observed between exosome-derived CYP3A4 biomarkers and midazolam CL/F. The significance of these results is that CYP3A4 is the drug-metabolizing enzyme of greatest clinical importance and variability in CYP3A4 activity is poorly described by existing precision dosing strategies.

Identification of the caffeine to trimethyluric acid ratio as a dietary biomarker to characterise variability in cytochrome P450 3A activity.

PURPOSE: Cytochrome P450 (CYP) 3A plays an important role in the metabolism of many clinically used drugs and exhibits substantial between-subject variability (BSV) in activity. Current methods to assess variability in CYP3A activity have limitations and there remains a need for a minimally invasive clinically translatable strategy to define CYP3A activity. The purpose of this study was to evaluate the potential for a caffeine metabolic ratio to describe variability in CYP3A activity. METHODS: The metabolic ratio 1,3,7-trimethyluric acid (TMU) to caffeine was evaluated as a biomarker to describe variability in CYP3A activity in a cohort (n = 28) of healthy 21 to 35-year-old males. Midazolam, caffeine, and TMU concentrations were assessed at baseline and following dosing of rifampicin (300 mg daily) for 7 days. RESULTS: At baseline, correlation coefficients for the relationship between apparent oral midazolam clearance (CL/F) with caffeine/TMU ratio measured at 3, 4, and 6 h post dose were 0.82, 0.79, and 0.65, respectively. The strength of correlations was retained post rifampicin dosing; 0.72, 0.87, and 0.82 for the ratios at 3, 4, and 6 h, respectively. Weaker correlations were observed between the change in midazolam CL/F and change in caffeine/TMU ratio post/pre-rifampicin dosing. CONCLUSION: BSV in CYP3A activity was well described by caffeine/TMU ratios pre- and post-induction. The caffeine/TMU ratio may be a convenient tool to assess BSV in CYP3A activity, but assessment of caffeine/TMU ratio alone is unlikely to account for all sources of variability in CYP3A activity.

Data sharing from pharmaceutical industry sponsored clinical studies: audit of data availability.

BACKGROUND: Clinical trial transparency is important to participants, trialists, publishers, and regulators, and there have been recent major policy changes by the pharmaceutical industry regarding clinical study data sharing. However, it is unknown if these changes are enabling independent researchers to access participant-level data from prominent contemporary clinical trials sponsored by the pharmaceutical industry 2 years after publication of the primary results. MAIN TEXT: PubMed and ClinicalTrials.gov were searched to identify clinical trials of medicines sponsored by the pharmaceutical industry and first published between 1 July 2015 and 31 December 2015 in the top 10 general and internal medical journals by impact factor. For each clinical trial, the eligibility of independent researchers to request participant-level data was identified via the sponsor having a data sharing policy/process and a positive response to an enquiry. Fifty-six publications reporting on 61 industry-sponsored clinical trials were identified, of which 32 (52%) had a public data sharing policy/process and 9 (15%) were confirmed eligible for data sharing. Industry sponsors within the top 25 by global sales were more likely to have a data sharing policy (93% vs 10%), and there was a trend towards increased data sharing eligibility (23% vs 4%). Twenty-six studies were explicitly confirmed as ineligible for data sharing. The two most common data sharing policy conditions that prevented sharing of data for published results were the exclusion of studies that had ongoing follow-up of the published results and the exclusion of studies of medicines that have not yet achieved regulatory approval in the USA and the European Union. CONCLUSIONS: Fifteen percent of the sampled clinical trials were available for data sharing 2 years after publication of primary results of the trial. Key issues limiting data sharing include a large proportion of industry sponsors who do not have a data sharing policy/process, and data sharing policy conditions that exclude access on the basis of ongoing follow-up and regulatory activity.