Evaluation of the study of control arms in randomized clinical trials of cancer.

Authors

null

Sandeep Kumar Jain

Brown University, Providence, RI

Sandeep Kumar Jain , Marjorie Glass Zauderer , Tarsheen Sethi , Martin W. Schoen , Sam Rubinstein , Ryan Huu-Tuan Nguyen , Seema Nagpal , Sanjay Mohan , Sathwik Madireddy , Mark Lythgoe , Wayne Liang , Amit Kulkarni , Shalin Kothari , Talal Hilal , Matthew James Hadfield , Gaurav Goyal , Teja Ganta , Bhagirathbhai R. Dholaria , Alaina J. Brown , Jeremy Lyle Warner

Organizations

Brown University, Providence, RI, Memorial Sloan Kettering Cancer Center, New York City, NY, Yale University School of Medicine, New Haven, CT, Saint Louis University School of Medicine, St. Louis, MO, UNC Lineberger Comprehensive Cancer Center, Chapel Hill, NC, University of Illinois College of Medicine, Chicago, IL, Stanford University, Palo Alto, CA, Vanderbilt-Ingram Cancer Center, Nashville, TN, Imperial College London, London, United Kingdom, Children's Hospital of Atlanta, Atlanta, GA, University of Minnesota, Minneapolis, MN, Yale University, New Haven, CT, Division of Hematology/Oncology, Mayo Clinic, Phoenix, AZ, Rhode Island Hospital, Brown University, Providence, RI, University of Alabama at Birmingham, Birmingham, AL, Icahn School of Medicine at Mount Sinai, New York, NY, Vanderbilt University Medical Center, Nashville, TN

Research Funding

National Cancer Institute/U.S. National Institutes of Health

Background: Randomized clinical trials (RCTs) in cancer typically compare experimental to control arm regimens. The choice of an appropriate control (ctrl) arm can have a major impact on the expected success of an RCT. The frequency with which cancer RCTs use control arms based on established dosing and scheduling protocols has not been described. Methods: The HemOnc knowledgebase (KB) was used to identify systemic anti-cancer therapy (SACT) regimen variants, defined as regimens with identical components that differ in dosing, scheduling, and/or route. Non-cancer, nonrandomized, and non-SACT studies were excluded. Study publication year was used to define standard variants as those evaluated in the experimental arm of a positive phase 3 RCT >1 year prior to publication as a control arm, regardless of cancer type or context of treatment. Study-variant dyads were evaluated to determine whether the variant was standard. Success rates of RCTs with standard vs non-standard control arms were evaluated with Fisher’s exact test. Results: 5221 studies were associated with ≥1 named variant in the HemOnc KB, as of 2024-02-06. After exclusions, there were 3511 study-variant dyads (2386 studies; 1714 variants). The 9 most common regimens are shown in the Table. The median (IQR) number of variants per regimen was 2 (1-3); carboplatin & paclitaxel (CP) had the most variants (n=33). Across all control arm study-variant dyads, 2228/3492 (64%) utilized non-standard variants. For example, 60/97 studies (62%) of docetaxel as control used the 75 mg/m2 q3wk variant after it was established in 2000, whereas n=27 others used 19 non-standard variants. Trials that used a standard control arm had a numerically higher success rate, 45% vs 42% (OR 1.10, 95% CI 0.92-1.32). Conclusions: Non-standard regimen variants are frequently used in cancer RCTs. Reasons for this could include toxicity, patient convenience, or emerging data from smaller studies that establish comparable efficacy or improved toxicity to standard variants. However, the a priori efficacy of non-standard control arms is less rigorously established, and trials with standard control arms might be more successful. Future directions include quantifying the granular differences between standard and non-standard variants and investigating whether certain types of non-standard variation (e.g. fewer cycles, lower doses) associate with trial success rates.

RegimenTimeframe1RCTs Using Regimen as CtrlCtrl Arm VariantsStudy-Variant Ctrl Arm DyadsStudy-Variant Ctrl arm Dyads Using a Standard Variant, n (%)
Docetaxel1997-2023972111585 (74)
CP1995-2023973312050 (42)
Gemcitabine1997-202372218424 (29)
Tamoxifen1978-2022721310374 (72)
Paclitaxel1992-202363157317 (23)
5-FU & Leucovorin1987-202361306635 (53)
Cisplatin & Gemcitabine1998-20235026526 (12)
CMF1973-201944185222 (42)
FEC1983-202042215125 (49)

1Earliest yr of enrollment as a ctrl arm to latest publication yr.

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Abstract Details

Meeting

2024 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Quality Care/Health Services Research

Track

Care Delivery and Quality Care

Sub Track

Clinical Research Design

Citation

J Clin Oncol 42, 2024 (suppl 16; abstr 11023)

DOI

10.1200/JCO.2024.42.16_suppl.11023

Abstract #

11023

Poster Bd #

218

Abstract Disclosures