Literature DB >> 35502234

Clinical Trials of Liposomes in Children's Anticancer Therapy: A Comprehensive Analysis of Trials Registered on ClinicalTrials.gov.

Zhaosong Feng1, Yuyang Gu2, Mengping Yuan3, Renzhong Xiao4, Zhenghua Fei2.   

Abstract

Objective: Clinical trials have become essential for driving the development of medicine. However, little is known about the current status of clinical trials on liposomes in children's anticancer therapy (LCAT). This study aimed to synthesize current finding from clinical trials of LCAT in ClinicalTrials.gov.
Methods: A cross-sectional descriptive study of clinical trials on LCAT was conducted, using studies registered on ClinicalTrials.gov through December 30, 2021.
Results: A total of 74 eligible trials were identified, accounting for 4.8% (74/1552) of all trials on liposomes for cancer therapy. Among these trials, 70 (94.6%) were interventional trials, and the remaining 4 (5.4%) were observational trials. Of the 70 interventional trials, 63 (90.0%) were for treatment, 48.6% were involving unlabeled allocations, 30.0% were randomized, 52.9% were single group assignment, 71.4% were without masking, 28.6% were Phase 3 trials, 30.0% were Phase 1 trials, and 24.3% were Phase 2 trials. Furthermore, 17 liposomal drugs for 123 types of cancer were investigated in the interventional trials, and these were mainly focused on organic chemicals (43/70, 61.4%). Of these cancers, the highest proportion was leukemia (15.4%), followed by lymphoma (9.8%) and ovarian cancer (8.9%).
Conclusion: High quality, adequately powered, masked, appropriately sized, and randomized clinical trials represent the critical priorities for conducting a high-quality clinical trial. However, most of these trials for LCAT were non-randomized, single group assignment, and non-blinded interventional trials of small scale, with various eligibility criteria and outcome measures. Our analysis highlights the need for improvement in the completeness of study designs curated on clinicalTrials.gov. We urge for decision-makers to avoid adopting entrenched positions about the study design of cancer clinical trials to avoid this problem. As such, tackling the problematic challenges related to cancer and designing efficient trials for cancer requires developing and applying new approaches and multiple strategies.
© 2022 Feng et al.

Entities:  

Keywords:  cancer; children anticancer therapy; clinical trials; liposomal drug; liposomes

Mesh:

Substances:

Year:  2022        PMID: 35502234      PMCID: PMC9056094          DOI: 10.2147/IJN.S359666

Source DB:  PubMed          Journal:  Int J Nanomedicine        ISSN: 1176-9114


Introduction

Recently nanoscale drugs become an area of intense novel drug research.1,2 Several nanocarriers, including liposomes, have been utilized for cancer therapies.3,4 Among these, liposomes have attracted the most attention because of their potency of side effects,5 prolonged the retention-time for encapsulated payloads in cancer cells,6 effectively resolving some of the problems of off-target effects of anticancer drugs by improving the pharmacokinetic profiles and pharmacological properties of several agents.7,8 Clinical trials are the most effective strategy for evaluating the efficacy of a drug on a specific disease9,10 and are a critical step in the successful development of more effective drugs.11 Thus, exploring clinical trials, especially analyzing registered clinical trials, has become an important facet of research to help future clinical practice. ClinicalTrials.gov is a public trial registry provided by the US National Library of Medicine and the US Food and Drug Administration. Zarin et al12 postulated that the number of clinical trials in ClinicalTrials.gov accounted for more than 80% of all studies in the World Health Organization’s International Clinical Trials Registry Platform. This proportion will likely expand with further implementation of the Food and Drug Administration Amendments Act (FDAAA 801), which expands the scope of mandatory clinical trial registration.13 Moreover, a joint statement from all International Committee of Medical Journal Editors (ICMJE) member journals indicated that clinical trials must be publicly registered in trials registries before they are considered for publication. Therefore, to better evaluate the breadth of liposome treatments for pediatric cancers, we performed a cross-sectional study to investigate the characteristic of registered trials in ClinicalTrials.gov regarding liposomes in children’s anticancer therapy.

Materials and Methods

A cross-sectional, descriptive study of clinical trials for LCAT registered on the ClinicalTrials.gov database was conducted. The trials were obtained from ClinicalTrials.gov using the advanced search function with the search term “cancer” for “condition or disease” and the term “liposome” for “Other terms” on December 30, 2021. All of the identified clinical trials were assessed to obtain records of all studies. Intervention and observation studies were all included. We used the age field as a filter, and we included trials explicitly designed for the child (birth – 17 years of age). Next, we manually reviewed all of the trials and selected those using liposomal drugs for children’s anticancer therapy. Trials utilizing non-liposomal drugs were excluded. The following information and data were extracted: registered number, title, study type, conditions, interventions, locations, start date, the status of the trial, study results, study samples, participant ages, primary sponsor, location, primary purpose, phases of each trial, allocation, intervention model, masking and intervention. All trials were then further subclassified according to their study type. We used descriptive statistics to characterize trial categories. Frequencies and percentages were provided for categorical data. All analyses were performed using Microsoft Excel (Microsoft Office Excel 2010, Microsoft Corporation).

Results

Screening and Included Trials

The initial search identified 1552 clinical trials on liposomes in cancer therapy registered on the ClinicalTrials.gov database through December 30, 2021. After using the age field (child; birth – 17 years of age) as a filter, 352 trials focusing on liposomes in children’s anticancer therapy were included. After carefully reviewing all the information, 278 trials were not liposomal drugs and were excluded. Thus, a total of 74 registered trials focusing on liposomes in children’s anticancer therapy were subsequently included, including four observational studies and 70 intervention trials (Figure 1).
Figure 1

Flowchart of trial selection.

Flowchart of trial selection.

Basic Characteristics of Included Trials

The basic characteristics of the included trials are shown in Table 1. Among the 74 eligible trials, 70 (94.6%) were interventional trials, and the 4 (5.4%) were observational trials. Half of these trials were initiated prior to 2007. Every five years, the number of initiated trials changed a little from 2007 to 2021. Most of the included trials (47.3%) have been completed, although only 23.0% of trials had available results in this database. The sources of funding were indicated for 40.5% of trials. The National Institutes of Health (NIH) was the second-largest contributor, accounting for 36.5% of included trials. North America was the most frequently identified study location (68.9%), followed by Europe (14.9%), Asia (12.2%), and other (4.1%).
Table 1

Characteristics of All Included Trials

VariableSubgroupN (%)
Year
Prior to 200737 (50.0%)
2007–201115 (20.3%)
2012–201611 (14.9%)
2017–202111 (14.9%)
Status
Active, not recruiting5 (6.8%)
Completed35 (47.3%)
Recruiting9 (12.2%)
Suspended1 (1.4%)
Terminated8 (10.8%)
Withdrawn3 (4.1%)
Unknown status13 (17.6%)
Study results
Has results17 (23.0%)
No results available57 (77.0%)
Funded by
Industry8 (10.8%)
NIH5 (6.8%)
Other30 (40.5%)
Other + NIH21 (28.4%)
Other + industry9 (12.2%)
Industry + NIH1 (1.4%)
Locations
Asia9 (12.2%)
Europe11 (14.9%)
North America51 (68.9%)
Other3 (4.1%)

Abbreviation: NIH, National Institutes of Health.

Characteristics of All Included Trials Abbreviation: NIH, National Institutes of Health.

Characteristics of Study Design

Of the four observational trials, two were retrospective, and two trials were prospective. Of the 70 interventional trials, 63 (90.0%) were for treatment, 3 (4.3%) were for supportive care, 2 (2.9%) were for diagnostic, and 2 (2.9%) were for prevention. The allocation concealment was not clear in 48.6% of these studies. 21 (30.0%) trials were randomized, and 15 (21.4%) trials were non-randomized. More than half of the intervention models were single group assignments (52.9%), followed by parallel assignments (22.9%), and unknown (21.4%). Among the 70 interventional trials, the majority of trials (50, 71.4%) were without masking, 13 (18.6%) were with unknown masking, and 7 (10.0%) were with masking (1 single masking, 4 double maskings, and 2 quadruple maskings). 20 (28.6%) were phase 3 trials, 21 (30.0%) were phase 1 trials, and 17 (24.3%) were phase 2 trials. More than half of the trials recruited less than 50 participants, 12 trials (17.1%) recruited 100–500 individuals, and 12 trials (17.1%) did not indicate the number of participants. The study design characteristics of interventional trials are displayed in Table 2.
Table 2

Study Design Elements of Interventional Trials (n = 70)

VariableSubgroupN (%)
Primary purpose
Prevention2 (2.9%)
Diagnostic2 (2.9%)
Supportive care3 (4.3%)
Treatment63 (90.0%)
Allocation
Randomized21 (30.0%)
Non-randomized15 (21.4%)
N/A25 (35.7%)
Unknown9 (12.9%)
Intervention model
Single group assignment37 (52.9%)
Parallel assignment16 (22.9%)
Crossover assignment1 (1.4%)
Sequential assignment1 (1.4%)
Unknown15 (21.4%)
Masking
Single1 (1.4%)
Double4 (5.7%)
Quadruple2 (2.9%)
None (open label)50 (71.4%)
Unknown13 (18.6%)
Phases
Phase 121 (30.0%)
Phase 1/Phase 26 (8.6%)
Phase 217 (24.3%)
Phase 2/Phase 32 (2.9%)
Phase 320 (28.6%)
Phase 42 (2.9%)
Not applicable2 (2.9%)
Enrollment
≤ 5036 (51.4%)
50–1005 (7.1%)
100–50012 (17.1%)
≥ 5005 (7.1%)
Unknown12 (17.1%)
Study Design Elements of Interventional Trials (n = 70)

Overview of Investigated Drugs

A total of 70 interventional trials investigated 17 liposomal drugs, mainly focused on organic chemicals (43/70, 61.4%). 32 trials (45.7%) investigated liposomal doxorubicin. Of these trials for liposomal drugs, the highest proportion was testing liposomal doxorubicin (45.7%), followed by liposomal vincristine (17.1%) and liposomal cytarabine (5.7%). Three trials investigated liposomal complex compounds, of which two trials were liposomal daunorubicin-cytarabine, and one trial was liposomal doxorubicin-daunorubicin. A summary of studied liposomal drugs for prevention is provided in Table 3.
Table 3

Overview of Drugs for Prevention

Name and Number of the Investigated DrugPubChem CIDSolubility (in Water)Types (MeSH Tree)
Amphotericin B (3)5280965750 mg/L at 25 °CMacrolides/Organic Chemicals
Annamycin (2)115212Not AvailableAnthracyclines/Organic Chemicals
Bupivacaine (1)24749.17 × 10−5 mg/L at 25 °CAnilides/Organic Chemicals
Cisplatin (2)57021981 mg/mLPlatinum Compounds/Inorganic Chemicals
Cytarabine (4)62531 × 106 mg/L at 25 °CNucleosides/Nucleic Acids
Daunorubicin (3)303233.0 × 104 mg/L at 25 °CAnthracyclines/Organic Chemicals
Doxorubicin (32)317032600 mg/L at 25 °CAnthracyclines/Organic Chemicals
Irinotecan (2)608380.11 g/LAlkaloids/Heterocyclic Compounds
Paclitaxel (1)363145.56× 10−3 g/LCycloparaffins/Organic Chemicals
Topotecan (1)607002350 mg/L at 25 °CAlkaloids/Heterocyclic Compounds
Tretinoin (1)4447952.48 × 10−2 mg/L at 25 °CCycloparaffins/Organic Chemicals
Vincristine (12)59782.27 mg/L at 25 °CAlkaloids/Heterocyclic Compounds
W_ova1 Vaccine (1)Not AvailableNot AvailableBiological Products/Complex Mixtures
DOTAP: Chol-fus1 (1)Not AvailableNot AvailableBiological Products/Complex Mixtures
T4N5 lotion (1)Not AvailableNot AvailableBacteriophages & Enzymes
Daunorubicin-Cytarabine (2)Complex CompoundsComplex CompoundsComplex Compounds
Doxorubicin-Daunorubicin(1)Complex CompoundsComplex CompoundsComplex Compounds

Notes: Data from PubChem CID and Solubility (In water), ; Data from MeSH Tree, .

Overview of Drugs for Prevention Notes: Data from PubChem CID and Solubility (In water), ; Data from MeSH Tree, .

Overview of Cancer Type for Prevention

A total of 70 interventional trials investigated 17 liposomal drugs for 123 types of cancer. Of these cancers, the highest proportion was leukemia (15.4%), followed by lymphoma (9.8%) and ovarian cancer (8.9%). Detailed data is shown in Figure 2.
Figure 2

Overview cancer types assessed for liposomal treatment for prevention (n = 123). The following cancers appeared only once: advanced cancer, bone cancer, germ cell tumors, glioma, invasive pulmonary aspergillosis, kidney tumor, lung cancer, multiple myeloma, nasopharyngeal carcinoma, pancreatic cancer, pediatric cancer, plasma cell neoplasm, precancerous condition, and prostate cancer.

Overview cancer types assessed for liposomal treatment for prevention (n = 123). The following cancers appeared only once: advanced cancer, bone cancer, germ cell tumors, glioma, invasive pulmonary aspergillosis, kidney tumor, lung cancer, multiple myeloma, nasopharyngeal carcinoma, pancreatic cancer, pediatric cancer, plasma cell neoplasm, precancerous condition, and prostate cancer.

Discussion

Liposomes have been extensively investigated for overcoming cancer drug resistance,14 cancer-targeted therapy,15 and as a sustained and controlled release drug delivery system.16 However, liposomes do have limited clinical utility due to properties such as uncontrollable drug release, instability in storage, and insufficient drug loading.17 Specifically, due to their small aqueous internal volumes, liposomes have a relatively low encapsulation efficacy for water-soluble drugs.18 Meanwhile, large-scale liposomes production with low batch-to-batch differences is a challenge for the industry, which ultimately delays the clinical translation of new products.19 In addition, recruitment of children is a persistent challenge for researchers seeking to include these populations in clinical trials.20 First, societal concerns and parental emotional involvement can act to delay or prevent certain types of paediatric research.20,21 Second, medical ethics and clinical trial design for children need further refinement.22 Thus, the number of trials of liposomes in children’s anticancer therapy has not increased significantly over time and clinical trials focusing on liposomes account for only about 4.77% (74/1552) of clinical trials on liposomes in cancer therapy. Liposomally-delivered drugs have predominantly been organic chemicals (43/70, 61.4%). For example, 32 trials (45.7%) investigated liposomal doxorubicin. These results were following previous literature reports on the efficacy of delivering doxorubicin this way. To enhance the solubility of a hydrophobic substance, lipid-based drug delivery systems, especially liposomes, are among the best candidates.23–25 In this study, the highest proportion of cancer type for prevention in a children was leukemia (15.4%), and the highest proportion of liposomal drug was in liposomal doxorubicin (45.7%), followed by liposomal vincristine (17.1%) and liposomal cytarabine (5.7%). For decades, the standard of care for treating acute myeloid leukemia (AML) has been the combination of a nucleoside analog with an anthracycline.26,27 Vincristine and cytarabine are nucleoside, and doxorubicin is a type of anthracycline. This indicated that liposomal doxorubicin combined with vincristine or cytarabine for childhood leukemia is an important future direction for liposomes in children’s anticancer therapy. High quality, adequately powered, masked, appropriately sized, and appropriately sized, and randomized clinical trials represent a critical priority for high-quality clinical trials.28–30 However, only 30.0% of trials studied here were randomized, and the majority of trials (71.4%) were without masking. Previously, it has been suggested that efficient trial designs are essential for rare malignancies has randomized trials are less feasible.31 To address this, there are multiple strategies for, such using as a Bayesian posterior predictive approach,32 or using complex innovative design,33 a novel multi-arm, multi-stage (MAMS) design.34 Hearn et al35 discussed in depth this issue highlighting the need for decision-makers to avoid adopting entrenched positions about the nature of the trial design.
  33 in total

1.  Issues in the registration of clinical trials.

Authors:  Deborah A Zarin; Nicholas C Ide; Tony Tse; William R Harlan; Joyce C West; Donald A B Lindberg
Journal:  JAMA       Date:  2007-05-16       Impact factor: 56.272

2.  Factors influencing parental trust in medical researchers for child and adolescent patients' clinical trial participation.

Authors:  Jennifer Cunningham-Erves; Jason Deakings; Tilicia Mayo-Gamble; Kendria Kelly-Taylor; Stephania T Miller
Journal:  Psychol Health Med       Date:  2019-01-10       Impact factor: 2.423

3.  Study of quercetin-loaded liposomes as potential drug carriers: in vitro evaluation of human complement activation.

Authors:  Ana Paula Landi-Librandi; Taís Nader Chrysostomo; Ana Elisa Caleiro Seixas Azzolini; Cleni Mara Marzocchi-Machado; Carlos Alberto de Oliveira; Yara Maria Lucisano-Valim
Journal:  J Liposome Res       Date:  2011-10-19       Impact factor: 3.648

Review 4.  Reporting "basic results" in ClinicalTrials.gov.

Authors:  Tony Tse; Rebecca J Williams; Deborah A Zarin
Journal:  Chest       Date:  2009-07       Impact factor: 9.410

Review 5.  Advances in lipid-based drug delivery: enhancing efficiency for hydrophobic drugs.

Authors:  Gang Wang; JunJie Wang; Wei Wu; Shing Shun Tony To; HuaFu Zhao; Jing Wang
Journal:  Expert Opin Drug Deliv       Date:  2015-04-05       Impact factor: 6.648

Review 6.  Delirium in Older Persons: Advances in Diagnosis and Treatment.

Authors:  Esther S Oh; Tamara G Fong; Tammy T Hshieh; Sharon K Inouye
Journal:  JAMA       Date:  2017-09-26       Impact factor: 56.272

7.  Liposome: classification, preparation, and applications.

Authors:  Abolfazl Akbarzadeh; Rogaie Rezaei-Sadabady; Soodabeh Davaran; Sang Woo Joo; Nosratollah Zarghami; Younes Hanifehpour; Mohammad Samiei; Mohammad Kouhi; Kazem Nejati-Koshki
Journal:  Nanoscale Res Lett       Date:  2013-02-22       Impact factor: 4.703

8.  Flexible trial design in practice - stopping arms for lack-of-benefit and adding research arms mid-trial in STAMPEDE: a multi-arm multi-stage randomized controlled trial.

Authors:  Matthew R Sydes; Mahesh K B Parmar; Malcolm D Mason; Noel W Clarke; Claire Amos; John Anderson; Johann de Bono; David P Dearnaley; John Dwyer; Charlene Green; Gordana Jovic; Alastair W S Ritchie; J Martin Russell; Karen Sanders; George Thalmann; Nicholas D James
Journal:  Trials       Date:  2012-09-15       Impact factor: 2.279

9.  Clinical Trials Focusing on Drug Control and Prevention of Ventilator-Associated Pneumonia: A Comprehensive Analysis of Trials Registered on ClinicalTrials.gov.

Authors:  Lingmin Chen; Yanling Su; Liuliu Quan; Yonggang Zhang; Liang Du
Journal:  Front Pharmacol       Date:  2019-02-26       Impact factor: 5.810

10.  Dexamethasone Loaded Liposomes by Thin-Film Hydration and Microfluidic Procedures: Formulation Challenges.

Authors:  M D Al-Amin; Federica Bellato; Francesca Mastrotto; Mariangela Garofalo; Alessio Malfanti; Stefano Salmaso; Paolo Caliceti
Journal:  Int J Mol Sci       Date:  2020-02-26       Impact factor: 5.923

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