Dataset Information

Stratified medicine in European Medicines Agency licensing: a systematic review of predictive biomarkers.

ABSTRACT:

Objectives

Stratified medicine is often heralded as the future of clinical practice. Key part of stratified medicine is the use of predictive biomarkers, which identify patient subgroups most likely to benefit (or least likely to experience harm) from an intervention. We investigated how many and what predictive biomarkers are currently included in European Medicines Agency (EMA) licensing.

Setting

EMA licensing.

Participants

Indications and contraindications of all drugs considered by the EMA and published in 883 European Public Assessment Reports and Pending Decisions.

Primary and secondary outcome measures

Data were collected on: the type of the biomarker, whether it selected a subgroup of patients based on efficacy or toxicity, therapeutic area, marketing status, date of licensing decision, date of inclusion of the biomarker in the indication or contraindication and on orphan designation.

Results

49 biomarker-indication-drug (B-I-D) combinations were identified over 16 years, which included 37 biomarkers and 41 different drugs. All identified biomarkers were molecular. Six drugs (relating to 10 B-I-D combinations) had an orphan designation at the time of licensing. The identified B-I-D combinations were mainly used in cancer and HIV treatment, and also in hepatitis C and three other indications (cystic fibrosis, hyperlipoproteinaemia type I and methemoglobinaemia). In 45 B-I-D combinations, biomarkers were used as predictive of drug efficacy and in four of drug toxicity. It appeared that there was an increase in the number of B-I-D combinations introduced each year; however, the numbers were too small to identify any trends.

Conclusions

Given the large body of literature documenting research into potential predictive biomarkers and extensive investment into stratified medicine, we identified relatively few predictive biomarkers included in licensing. These were also limited to a small number of clinical areas. This might suggest a need for improvement in methods of translation from laboratory findings to clinical practice.

SUBMITTER: Malottki K

PROVIDER: S-EPMC3913033 | biostudies-literature | 2014 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Stratified medicine in European Medicines Agency licensing: a systematic review of predictive biomarkers.

Malottki Kinga K Biswas Mousumi M Deeks Jonathan J JJ Riley Richard D RD Craddock Charles C Johnson Philip P Billingham Lucinda L

BMJ open 20140127 1

<h4>Objectives</h4>Stratified medicine is often heralded as the future of clinical practice. Key part of stratified medicine is the use of predictive biomarkers, which identify patient subgroups most likely to benefit (or least likely to experience harm) from an intervention. We investigated how many and what predictive biomarkers are currently included in European Medicines Agency (EMA) licensing.<h4>Setting</h4>EMA licensing.<h4>Participants</h4>Indications and contraindications of all drugs c ...[more]

PMID: 24468721

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Project description:BACKGROUND:Clinical study reports (CSRs) have been increasingly utilised within academic research in recent years. European Medicines Agency (EMA) Policy 0070 'Phase 1,' which came into effect in January 2015, requires the publication of regulatory documents such as CSRs from central applications in an anonymised format. EMA Policy 0070 requires sponsors to demonstrate careful consideration of data utility within anonymised CSRs published within the scope of the policy, yet the concept of data utility is not clearly defined in the associated anonymisation guidance. OBJECTIVE:To review the use of data from CSRs in published academic research and to hypothesise the potential data utility of CSRs anonymised under the objectives of EMA Policy 0070 for future academic research. METHODS:Review of the objectives, research methodologies and findings of academic research reports using unpublished data from CSRs (prior to EMA Policy 0070). Semi-structured interviews with authors of academic research reports, including questions related to data utility of anonymised CSRs published under EMA Policy 0070. RESULTS:Thirteen academic research reports were identified and reviewed. The research purposes ranged from assessment of reporting bias, comparison of methods and results with published data sources, detailed evaluation of harms and adverse events, re-analysis and novel analyses including systematic reviews and meta-analysis. All of the examples identified required access to the methods and results sections of CSRs (including aggregated summary tables) and research purposes relating to evaluation of adverse events also required access to participant narratives. Retaining anonymised participant narratives relating to interventions, findings and events, while maintaining an acceptably low risk of participant re-identification, may provide an important gain in data utility and further understanding of drug safety profiles. CONCLUSIONS:This work provides an initial insight into the previous use of CSR data and current practices for including regulatory data in academic research. This work also provides early guidance to qualitatively assess and document data utility within anonymised CSRs published under EMA Policy 0070.

Project description:ImportanceFor patients with cancer treated with palliative intent, quality of life (QOL) is a critical aspect of treatment decision-making, alongside survival. However, regulatory approval can be based solely on survival measures or antitumor activities, without QOL evidence.ObjectiveTo investigate whether recently approved oncology therapies demonstrate clinically meaningful improvements in QOL.Evidence reviewThis systematic review study identified oncology drug indications approved by the US Food and Drug Administration (FDA) and European Medicines Agency (EMA) from January 2006 to December 2017 and supporting clinical trials (QOL publications identified to October 2019). Indications were evaluated for the presence of published QOL evidence; QOL benefits according to the American Society of Clinical Oncology Value Framework version 2.0 (ASCO-VF) and European Society of Medical Oncology Magnitude of Clinical Benefit Scale version 1.1 (ESMO-MCBS) QOL bonus criteria; and clinically meaningful improvements in QOL beyond minimal clinically important differences. Hematology trials were not evaluated by ESMO-MCBS. Associations between QOL evidence and approval year were examined using logistic regression models.FindingsIn total, 214 FDA-approved (77 [36%] hematological) and 170 EMA-approved (52 [31%] hematological) indications were included. QOL evidence was published for 40% and 58% of FDA- and EMA-approved indications, respectively. QOL bonus criterion for ASCO-VF and ESMO-MCBS was met in 13% and 17% of FDA-approved and 21% and 24% of EMA-approved indications, respectively. Clinically meaningful improvements in QOL beyond minimal clinically important differences were noted in 6% and 11% of FDA- and EMA-approved indications, respectively. Availability of published QOL evidence at the time of approval increased over time for EMA (odds ratio [OR], 1.13; P = .03), however not for FDA (OR, 1.10; P = .12). Over time, no increase in awarded QOL bonuses or clinically meaningful improvements in QOL were found.Conclusions and relevanceThe findings of this systematic review suggest that approved systemic oncology therapies often do not have published evidence to suggest QOL improvement, despite its recognized importance. Of indications with evidence of statistical improvement, few have demonstrated clinically meaningful improvements.

Project description:AimsWe have previously described the European Medicines Agency's (EMA) and the US Food and Drug Administration's guidelines, each for a specific psychiatric indication, on how to design pivotal drug trials used in new drug applications. Here, we report on our efforts over 3 years to retrieve conflicts of interest declarations from EMA. We wanted to assess potential internal industry influence judged as the proportion of guideline committee members with industry conflicts of interest.MethodsWe submitted Freedom of Information requests in February 2020 to access EMA's lists of committee members (and their declared conflicts of interest) involved in drafting the 13 'Clinical efficacy and safety' guidelines available on EMA's website pertaining to psychiatric indications. In our request, we did not specify the exact EMA committees. Here, we describe the received documents and report the proportion of members with industry interests (i.e. defined as any financial industry relationship). It is a follow-up paper to our first report (http://doi.org/10.1017/S2045796021000147).ResultsAfter 2 years and 9 months (November 2022), the EMA sent us member lists and corresponding conflicts of interest declarations from the Committee for Medicinal Products for Human use (CHMP) from 2012, 2013 and 2017. These member lists pertained to 3 of the 13 requested guidelines (schizophrenia, depression and autism spectrum disorder). The 10 remaining guidelines were published before 2011 and EMA stated that they needed to require permission from their expert members (with unknown retrieval rate) and foresaw excessive workload and long wait. Therefore, we withdrew our request. The CHMPs from 2012, 2013 and 2017 had from 34 to 36 members; 39%-44% declared any interests and we judged 14%-18% as having industry interests. For the schizophrenia guideline, we identified two members with industry interests to companies who submitted feedback on the guideline. We did not receive declarations from the Central Nervous System (CNS) Working Party, the CHMP appointed expert group responsible for drafting and incorporating feedback into the guidelines.ConclusionsAfter almost 3 years, we received information, which only partly addressed our request. We recommend EMA to improve transparency by publishing the author names and their corresponding conflicts of interest declarations directly in the 'Clinical efficacy and safety' guidelines and to not remove conflicts of interest declarations after 1 year from their website to reduce the risk of stealth corporate influence during the development of these influential guidelines.

Project description:BackgroundThe European Medicine Agency granted marketing approval to 164 orphan medicinal products for rare diseases, among which 28 products intended for the treatment of hereditary metabolic diseases. Taking advantage of its privileged connection with 69 healthcare centres of excellence in this field, MetabERN, the European Reference Network for hereditary metabolic diseases, performed a survey asking health care providers from 18 European countries whether these products are available on the market, reimbursed and therefore accessible for prescription, and actually delivered in their centre.ResultsResponses received from 52 centres (75%) concerned the design of treatment plans, the access to marketed products, and the barriers to delivery. Treatment options are always discussed with patients, who are often involved in their treatment plan. Most products (26/28) are available in most countries (15/18). Among the 15 broadly accessible products (88.5% of the centres), 9 are delivered to most patients (mean 70.1%), and the others to only few (16.5%). Among the 10 less accessible products (40.2% of the centres), 6 are delivered to many patients (66.7%), and 4 are rarely used (6.3%). Information was missing for 3 products. Delay between prescription and delivery is on average one month. Beside the lack of availability or accessibility, the most frequent reasons for not prescribing a treatment are patients' clinical status, characteristic, and personal choice.ConclusionsData collected from health care providers in the MetabERN network indicate that two-third of the orphan medicines approved by EMA for the treatment of hereditary metabolic diseases are accessible to treating patients, although often less than one-half of the patients with the relevant conditions actually received the approved product to treat their disease. Thus, in spite of the remarkable achievement of many products, patients concerned by EMA-approved orphan medicinal products have persistent unmet needs, which deserve consideration. The enormous investments made by the companies to develop products, and the high financial burden for the Member States to purchase these products emphasize the importance of a scrupulous appreciation of treatment value involving all stakeholders at early stage of development, before marketing authorization, and during follow up.

Project description:Background: Reference to so-called real-world data is more often made in marketing authorization applications for medicines intended to diagnose, prevent or treat rare diseases compared to more common diseases. We provide granularity on the type and aim of any external data on efficacy aspects from both real-world data sources and external trial data as discussed in regulatory submissions of orphan designated medicinal products in the EU. By quantifying the contribution of external data according to various regulatory characteristics, we aimed at identifying specific opportunities for external data in the field of orphan conditions. Methods: Information on external data in regulatory documents covering 72 orphan designations was extracted. Our sample comprised public assessment reports for approved, refused, or withdrawn applications concluded from 2019-2021 at the European Medicines Agency. Products with an active orphan designation at the time of submission were scrutinized regarding the role of external data on efficacy aspects in the context of marketing authorization applications, or on the criterion of "significant benefit" for the confirmation of the orphan designation at the time of licensing. The reports allowed a broad distinction between clinical development, regulatory decision making, and intended post-approval data collection. We defined three categories of external data, administrative data, structured clinical data, and external trial data (from clinical trials not sponsored by the applicant), and noted whether external data concerned the therapeutic context of the disease or the product under review. Results: While reference to external data with respect to efficacy aspects was included in 63% of the approved medicinal products in the field of rare diseases, 37% of marketing authorization applications were exclusively based on the dedicated clinical development plan for the product under review. Purely administrative data did not play any role in our sample of reports, but clinical data collected in a structured manner (from routine care or clinical research) were often used to inform on the trial design. Two additional recurrent themes for the use of external data were the contextualization of results, especially to confirm the orphan designation at the time of licensing, and reassurance of a large difference in treatment effect size or consistency of effects observed in clinical trials and practice. External data on the product under review were restricted to either active substances already belonging to the standard of care even before authorization or to compassionate use schemes. Furthermore, external data were considered pivotal for marketing authorization only exceptionally and only for active substances already in use within the specific therapeutic indication. Applications for the rarest conditions and those without authorized treatment alternatives were especially prominent with respect to the use of external data from real-world data sources both in the pre- and post-approval setting. Conclusion: Specific opportunities for external data in the setting of marketing authorizations in the field of rare diseases were identified. Ongoing initiatives of fostering systematic data collection are promising steps for a more efficient medicinal product development in the field of rare diseases.

Dataset Information

Stratified medicine in European Medicines Agency licensing: a systematic review of predictive biomarkers.

Objectives

Setting

Participants

Primary and secondary outcome measures

Results

Conclusions

Publications

Stratified medicine in European Medicines Agency licensing: a systematic review of predictive biomarkers.

Similar Datasets

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