scholarly journals Application of Real-World Data to External Control Groups in Oncology Clinical Trial Drug Development

2022 ◽  
Vol 11 ◽  
Author(s):  
Timothy A. Yap ◽  
Ira Jacobs ◽  
Elodie Baumfeld Andre ◽  
Lauren J. Lee ◽  
Darrin Beaupre ◽  
...  

Randomized controlled trials (RCTs) that assess overall survival are considered the “gold standard” when evaluating the efficacy and safety of a new oncology intervention. However, single-arm trials that use surrogate endpoints (e.g., objective response rate or duration of response) to evaluate clinical benefit have become the basis for accelerated or breakthrough regulatory approval of precision oncology drugs for cases where the target and research populations are relatively small. Interpretation of efficacy in single-arm trials can be challenging because such studies lack a standard-of-care comparator arm. Although an external control group can be based on data from other clinical trials, using an external control group based on data collected outside of a trial may not only offer an alternative to both RCTs and uncontrolled single-arm trials, but it may also help improve decision-making by study sponsors or regulatory authorities. Hence, leveraging real-world data (RWD) to construct external control arms in clinical trials that investigate the efficacy and safety of drug interventions in oncology has become a topic of interest. Herein, we review the benefits and challenges associated with the use of RWD to construct external control groups, and the relevance of RWD to early oncology drug development.

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1063-1063
Author(s):  
Susanne Holzhauer ◽  
Christoph Male ◽  
Paul Monagle ◽  
Mohammadreza Bordbar ◽  
Heleen van Ommen ◽  
...  

Abstract Background: A growing number of randomized clinical trials (RCTs) provide promising data on pharmacokinetics/ pharmacodynamics, efficacy and safety of DOAC in children and the first DOACs have recently been approved for treatment of thromboembolism in children. Based on the risk benefit profiles published so far, we expect DOACs to be widely used for treatment and prophylaxis of thrombosis in children. The strict inclusion criteria for participation in the RCTs limit their generalizability, particularly to those with more serious acute and chronic medical conditions that account for a significant proportion of pediatric VTE patients in clinical practice. Real world data complements evidence from randomized clinical trials, and is urgently needed to improve patient care. Aim: To obtain efficacy and safety data of DOACs in a large and heterogeneous pediatric patient collectives. To expand the knowledge on treatment strategies and outcomes across different risk profiles and comorbidities including cancer and renal disease. Study Design: An international, multicentre, prospective observational cohort study imbedded in the Throm-PED Registry of the International Pediatric Thrombosis Network (IPTN). Parameters included at baseline are age, gender, height, weight, thrombosis type, thrombosis location, risk factors, underlying medical conditions and comedication. Primary outcomes include 1) thrombus progression or recurrence and 2) bleeding (major, clinically relevant non major including menorrhagia) and 3) mortality. Outcomes are assessed every 3 months for a total of 12 months. Additional variables include self-reported adherence, comedication, chemotherapy, DOAC drug levels, measures of renal function and dose adjustments on children with chronic medical conditions including renal disease and cancer. Study population : Patients from 0-21 years with thromboembolic disease treated with DOACs who are enrolled in the IPTN Throm-PED Registry. Results: As of June 30, 2021 82 patients from 10 centers have been enrolled. The majority of patients were at least 12 years old (Figure 1). 66% suffered from venous thrombosis. With about 30% each, pulmonary embolism or thrombosis of the lower extremities were reported most commonly. In this cohort the majority of patients received Rivaroxaban (80%), followed by Apixaban and Edoxaban. Risk factors were manifold, including patients with cancer (13%) and renal disease (4%). Of the 33 patients with follow-up reported at 3 months, bleeding was reported in 3 (9%) of patients during treatment with a DOAC, and thrombosis progression was reported in 2 (6%) (Table 1). Summary: This initial real world data, as expected, demonstrates reduced efficacy and more bleeding than noted in published trials, however numbers are small. Further real world data collection is essential to identify specific patient groups at risk of worse outcome with DOACs and to understand drug interactions and dose adjustments. Data on younger age groups are required. IPTN registry is an important framework to collect real world data that can then be explored in clinical trials. Figure 1 Figure 1. Disclosures Raffini: CSL Behring: Consultancy; Genentech: Consultancy; HEMA Biologics: Consultancy; Bayer: Consultancy; XaTek: Consultancy.


Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Nibha Jain ◽  
Ramasharan Laxminarayan ◽  
Arumugam Moorthy ◽  
Roshan Amarasena ◽  
Natasha Cleaton ◽  
...  

Abstract Background/Aims  Secukinumab is an interleukin-17 inhibitor has been found to be effective in the treatment of ankylosing spondylitis (AS) in studies, including phase 3 clinical trials, however these are conducted in highly selected patients and it is important to confirm the efficacy and safety in a real world data. Response to secukinumab should be assessed after 16-weeks and continued if there has been sufficient response to treatment according to the BASDAI and spinal VAS scores. Methods  This was a multicentre cross-sectional observational study in collaboration with Midland Ankylosing Spondylitis Collaboration. Consecutive baseline and 16th week data of all AS patients on Secukinumab from 2017 to 2019 were collected and analysed to assess treatment response. All data were compiled in excel sheets and analysed using Medcalc calculator. Data were collected from collaborative efforts of the Royal Wolverhampton NHS trust, Queen’s Hospital (Burton on Trent), Leicester Royal Infirmary and Robert Jones and Agnes Hunt hospital. Results  Total 92 patients with radiographic AS on standard dose of secukinumab were included at baseline and 88 were followed up till week 16. Mean age was 45.9(SD ± 15) (Median=44years) and 67% were male. Baseline Mean BASDAI was 7 (SD ± 1.7); Mean CRP was 16.6 (SD ± 11.2), Mean VAS was 7.6(SD ± 1.6). There was statistical significant change in BASDAI, VAS and CRP levels at week 16th. ΔBASDAI=2.2 (SD ± 2) (p = 0.002), ΔVAS=3.2 (SD ± 2.1) (p = 0.001), ΔCRP=6.9 (SD ± 17) (p = 0.03). At 16th week, 68% had clinical improvement while 4 patients discontinued therapy (2-colitis, 1-uveitis and 1-patient choice). 10% overall had some adverse effects with most common being upper respiratory tract infection. We also compared patients with previous anti-TNF exposure (TE) to Anti-TNF naïve (TN). 63% were in TE group vs 37% in TN. 69% of TE and 76% of TN showed clinical improvement at week 16.Mean ΔBASDAI was more in TN group vs TE (p = 0.01), however there was no difference in ΔVAS and ΔCRP levels. (p = 0.0 & p = 0.2 respectively). Conclusion  This multi-centre retrospective analysis found secukinumab to be clinically effective in 68% of patients with AS. There was significant improvement in BASDAI, VAS and CRP levels at week16. Compared to anti-TNF resistant patients, TNF-Naïve responded better to secukinumab, although both showed good clinical improvement. These findings support the use of secukinumab in the treatment of AS, as a first line therapy or for those who have failed anti-TNF therapy. Safety signals observed in the real-word data set were consistent with those seen in the clinical trials and the Summary of Product Characteristics. Disclosure  N. Jain: None. R. Laxminarayan: Honoraria; Honorarium from Novartis, Lilly, Pfizer and Abvie. A. Moorthy: Honoraria; Speaker and conference fee MSD, Novartis, Abbvie. R. Amarasena: None. N. Cleaton: None. G. Kakade: None. A. Gunawardane: None. T. Khan: None. H. Sapkota: None. N. Barkham: Grants/research support; research funding from Novartis, Eli Lilly, UCB.


2019 ◽  
Vol 25 (16) ◽  
pp. 4993-5001 ◽  
Author(s):  
Steffen Ventz ◽  
Albert Lai ◽  
Timothy F. Cloughesy ◽  
Patrick Y. Wen ◽  
Lorenzo Trippa ◽  
...  

Author(s):  
Scott R. Evans ◽  
Dianne Paraoan ◽  
Jane Perlmutter ◽  
Sudha R. Raman ◽  
John J. Sheehan ◽  
...  

AbstractThe growing availability of real-world data (RWD) creates opportunities for new evidence generation and improved efficiency across the research enterprise. To varying degrees, sponsors now regularly use RWD to make data-driven decisions about trial feasibility, based on assessment of eligibility criteria for planned clinical trials. Increasingly, RWD are being used to support targeted, timely, and personalized outreach to potential trial participants that may improve the efficiency and effectiveness of the recruitment process. This paper highlights recommendations and resources, including specific case studies, developed by the Clinical Trials Transformation Initiative (CTTI) for applying RWD to planning eligibility criteria and recruiting for clinical trials. Developed through a multi-stakeholder, consensus- and evidence-driven process, these actionable tools support researchers in (1) determining whether RWD are fit for purpose with respect to study planning and recruitment, (2) engaging cross-functional teams in the use of RWD for study planning and recruitment, and (3) understanding patient and site needs to develop successful and patient-centric approaches to RWD-supported recruitment. Future considerations for the use of RWD are explored, including ensuring full patient understanding of data use and developing global datasets.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Hao Sen Andrew Fang ◽  
Qiao Gao ◽  
Mong Li Lee ◽  
Wynne Hsu ◽  
Ngiap Chuan Tan

Abstract Background Clinical trials have demonstrated that either initiating or up-titrating a statin dose substantially reduce Low-Density Lipoprotein-Cholesterol (LDL-C) levels. However, statin adherence in actual practice tends to be suboptimal, leading to diminished effectiveness. This study aims to use real-world data to determine the effect on LDL-C levels and LDL-C goal attainment rates, when selected statins are titrated in Asian patients. Methods A retrospective cohort study over a 5-year period, from April 2014 to March 2019 was conducted on a cohort of multi-ethnic adult Asian patients with clinical diagnosis of Dyslipidaemia in a primary care clinic in Singapore. The statins were classified into low-intensity (LI), moderate-intensity (MI) and high-intensity (HI) groups according to the 2018 American College of Cardiology and American Heart Association (ACC/AHA) Blood Cholesterol Guidelines. Patients were grouped into “No statin”, “Non-titrators” and “Titrators” cohorts based on prescribing patterns. For the “Titrators” cohort, the mean percentage change in LDL-C and absolute change in LDL-C goal attainment rates were computed for each permutation of statin intensity titration. Results Among the cohort of 11,499 patients, with a total of 266,762 visits, there were 1962 pairs of LDL-C values associated with a statin titration. Initiation of LI, MI and HI statin resulted in a lowering of LDL-C by 21.6% (95%CI = 18.9–24.3%), 28.9% (95%CI = 25.0–32.7%) and 25.2% (95%CI = 12.8–37.7%) respectively. These were comparatively lower than results from clinical trials (30 to 63%). The change of LDL-C levels due to up-titration, down-titration, and discontinuation were − 12.4% to − 28.9%, + 13.2% to + 24.6%, and + 18.1% to + 32.1% respectively. The improvement in LDL-C goal attainment ranged from 26.5% to 47.1% when statin intensity was up-titrated. Conclusion In this study based on real-world data of Asian patients in primary care, it was shown that although statin titration substantially affected LDL-C levels and LDL-C goal attainment rates, the magnitude was lower than results reported from clinical trials. These results should be taken into consideration and provide further insight to clinicians when making statin adjustment recommendations in order to achieve LDL-C targets in clinical practice, particularly for Asian populations.


2020 ◽  
Author(s):  
Daphna Laifenfeld ◽  
Chen Yanover ◽  
Michal Ozery-Flato ◽  
Oded Shaham ◽  
Michal Rozen-Zvi ◽  
...  

AbstractReal-world healthcare data hold the potential to identify therapeutic solutions for progressive diseases by efficiently pinpointing safe and efficacious repurposing drug candidates. This approach circumvents key early clinical development challenges, particularly relevant for neurological diseases, concordant with the vision of the 21stCentury Cures Act. However, to-date, these data have been utilized mainly for confirmatory purposes rather than as drug discovery engines. Here, we demonstrate the usefulness of real-world data in identifying drug repurposing candidates for disease-modifying effects, specifically candidate marketed drugs that exhibit beneficial effects on Parkinson’s disease (PD) progression. We performed an observational study in cohorts of ascertained PD patients extracted from two large medical databases, Explorys SuperMart (N=88,867) and IBM MarketScan Research Databases (N=106,395); and applied two conceptually different, well-established causal inference methods to estimate the effect of hundreds of drugs on delaying dementia onset as a proxy for slowing PD progression. Using this approach, we identified two drugs that manifested significant beneficial effects on PD progression in both datasets: rasagiline, narrowly indicated for PD motor symptoms; and zolpidem, a psycholeptic. Each confers its effects through distinct mechanisms, which we explored via a comparison of estimated effects within the drug classification ontology. We conclude that analysis of observational healthcare data, emulating otherwise costly, large, and lengthy clinical trials, can highlight promising repurposing candidates, to be validated in prospective registration trials, for common, late-onset progressive diseases for which disease-modifying therapeutic solutions are scarce.


2019 ◽  
Vol 37 (15_suppl) ◽  
pp. 5074-5074
Author(s):  
Harshraj Leuva ◽  
Mengxi Zhou ◽  
Julia Wilkerson ◽  
Keith Sigel ◽  
Ta-Chueh Hsu ◽  
...  

5074 Background: Novel assessments of efficacy are needed to improve determination of treatment outcomes in clinical trials and in real-world settings. Methods: Cancer treatments usually lead to concurrent regression and growth of the drug-sensitive and drug-resistant fractions of a tumor, respectively. We have exploited novel methods of analysis that assess these two simultaneous processes and have estimated rates of tumor growth ( g) and regression ( d) in over 30,000 patients (pts) with diverse tumors. Results: In prostate cancer (PC) we have analyzed both clinical trial and real-world data from Veterans. Using clinical trial data from 6819 pts enrolled in 15 treatment arms we have established separately and by combining all the data that g correlates highly (p<0.0001) with overall survival (OS) – slower g associated with better OS. In PC, abiraterone (ABI) and docetaxel (DOC) are superior to placebo, prednisone and mitoxantrone. ABI (median g =0.0017) is superior to DOC ( g=0.0021) in first line (p=0.0013); and ABI in 2nd line ( g=0.0034) is inferior to ABI in 1st line ( g=0.0017; p<0.0001). Finally, using combined clinical trial data as a benchmark we could assess the efficacy of novel therapies in as few as 30-40 patients. Amongst 7457 Veterans, the median g on a taxane ( g=0.0022) was similar to that from clinical trials ( g=0.0012). Although only 258 Veterans received cabazitaxel (CAB), g values for CAB ( g=0.0018) and DOC ( g=0.0023) were indistinguishable (p=0.3) consistent with their identical mechanism of action. Finally, outcomes with DOC in African American (AA) ( g=0.00212) and Caucasian ( g=0.00205) Veterans were indistinguishable (p=0.9) and comparable across all VAMCs. Conclusions: The rate of tumor growth, g, is an excellent biomarker for OS both in clinical trials and in real-world settings. g allows comparisons between trials and for large trial data sets to be used as benchmarks of efficacy. Real-world outcomes in the VAMCs are similar to those in clinical trials. In the egalitarian VAMCs DOC efficacy in PC is comparable in AA and Caucasian Veterans -- indicating inferior outcomes reported in AAs are likely due to differential health care access, not differences in biology.


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