Evidence map›Paper›PMID 27716293›Full record

Trial reportOrphanet journal of rare diseases2016

Combined integrated protocol/basket trial design for a first-in-human trial.

Ulla Derhaschnig, Jim Gilbert, Ulrich Jäger, Georg Böhmig, Georg Stingl, Bernd Jilma

Open access · goldAbstract readClinical Trial, Phase IRandomized Controlled Trial
In one paragraph

Trial report in Orphanet journal of rare diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
4.6field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Interventions for bullous pemphigoid.The Cochrane database of systematic reviews · 2023
    Pooled it
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Pemphigus and Pemphigoid: From Disease Mechanisms to Druggable Pathways.The Journal of investigative dermatology · 2022
    Review
  12. Innovative highlights of clinical drug trial design.Translational research : the journal of laboratory and clinical medicine · 2020
    Review
  13. Article
  14. Complement System in Cutaneous Squamous Cell Carcinoma.International journal of molecular sciences · 2019
    Review
  15. Article
  16. Article
  17. Effect of the Anti-C1s Humanized Antibody TNT009 and Its Parental Mouse Variant TNT003 on HLA Antibody-Induced Complement Activation-A Preclinical In Vitro Study.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2017
    Article
  18. Drugs for rare disorders.British journal of clinical pharmacology · 2017
    Article
  19. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Ulla DerhaschnigDepartment of Clinical Pharmacology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria.
Jim GilbertTrue North Therapeutics, San Francisco, CA, USA.
Ulrich JägerDepartment of Internal Medicine I, Division of Haematology, Medical University of Vienna, Vienna, Austria.
Georg BöhmigDepartment of Internal Medicine III, Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria.
Georg StinglDepartment of Dermatology, Division of Immunology, Allergy and Infectious Diseases, Medical University of Vienna, Vienna, Austria.
Bernd JilmaDepartment of Clinical Pharmacology, Medical University of Vienna, Währinger Gürtel 18-20, 1090, Vienna, Austria. bernd.jilma@meduniwien.ac.at.
Medical University of Vienna · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInnovative trial designs are sought to streamline drug development in rare diseases. Basket- and integrated protocol designs are two of these new strategies and have been applied in a handful oncologic trials. We have taken the concept outside the realm of oncology and report about a first-in-human integrated protocol design that facilitates the transition from phase Ia in healthy volunteers to phase Ib in patients with rare complement-mediated disorders driven by the classical pathway.

resultsWe have been conducting a prospective, double-blind, randomized, placebo-controlled first-in-human study with TNT009, which is a humanized monoclonal antibody directed against the C1s subunit of human complement component C1. The trial consisted of three subparts, including normal healthy volunteers (part one and two) and a single cohort of patients in part three. Patients suffered from various complement-mediated diseases sharing the same pathophysiological mechanism, i.e. bullous pemphigoid, antibody-mediated rejection of organ transplants, cold agglutinin disease and warm autoimmune hemolytic anemia. Primary objective of the trial has been to evaluate the safety and tolerability of TNT009 in humans.

conclusionsThis trial provides probably the first example that basket trials may not be limited to single genetic aberrations, which is overly restrictive, but our trial design demonstrates that pathway specificity is a viable paradigm for defining baskets. This will hopefully serve as a role model that could benefit other innovative drug development programs targeting rare diseases.

Indexed as

Antibodies, Monoclonal, HumanizedDouble-Blind MethodHealthy VolunteersHumansProspective StudiesRare DiseasesAntibodies, Monoclonal, HumanizedTNT009Basket designComplement pathwayFirst-in-human trialIntegrated protocol designOrphan disease

Identifiers

PMID27716293
PMCPMC5050564
OpenAlexW2529243499

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.