Evidence map›Paper›PMID 30922327›Full record

Trial reportBMC cancer2019

Case-control Indian buffet process identifies biomarkers of response to Codrituzumab.

Melanie F Pradier, Bernhard Reis, Lori Jukofsky, Francesca Milletti, Toshihiko Ohtomo, Fernando Perez-Cruz, Oscar Puig

Registry-linked trialOpen access · goldAbstract readClinical Trial, Phase IIMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01507168 (A Randomised, Placebo-controlled, Double-blind, Multicenter Phase II Trial of Intravenous GC33 at 1600 mg Q2W in Previously Treated Patients With Unresectable Advanced or Metastatic Hepatocellular Carcinoma), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 49% 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.

NCT01507168 phase2completednot on this map

A Randomised, Placebo-controlled, Double-blind, Multicenter Phase II Trial of Intravenous GC33 at 1600 mg Q2W in Previously Treated Patients With Unresectable Advanced or Metastatic Hepatocellular Carcinoma (HCC)

TypeinterventionalSponsorHoffmann-La RocheRan2012 to 2015Enrolled185ConditionsCarcinoma, HepatocellularArmsPlacebo, GC33
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors at 4 institutions in 3 countries.

Melanie F PradierHarvard University, Cambridge, MA, USA. melanie@seas.harvard.edu.
Bernhard ReisPharmaceutical Sciences, Roche Innovation Center Basel, Basel, Switzerland.
Lori JukofskyTranslational Medicine Oncology, Roche Innovation Center New York, New York, USA.
Francesca MillettipRED Informatics, Roche Innovation Center New York, New York, USA.
Toshihiko OhtomoChugai Pharmaceutical Co. Ltd., Tokyo, Japan.
Fernando Perez-CruzSwiss Data Science Center, ETH Zurich, Switzerland.
Oscar PuigTranslational Medicine Oncology, Roche Innovation Center New York, New York, USA.
Bristol-Myers Squibb (United States) · USHarvard University Press · USRoche (Switzerland) · CHUniversidad Carlos III de Madrid · ES

Funding

MECHANISMS OF CONDITIONED TOLERANCE TO MORPHINER01DA002845 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ADVOKAT, CLAIRE D · 1985 to 1996
–
ADVENTURE TEC2015-69868-C2-1-RComunidad de Madrid S2013/ICE-2845MLPM2012 316861
6 · The paper itself

Abstract

backgroundCodrituzumab, a humanized monoclonal antibody against Glypican-3 (GPC3), which is expressed in hepatocellular carcinoma (HCC), was tested in a randomized phase II trial in advanced HCC patients who had failed prior systemic therapy. Biomarker analysis was performed to identify a responder population that benefits from treatment.

methodsA novel statistical method based on the Indian buffet process (IBP) was used to identify biomarkers predictive of response to treatment with Codrituzumab. The IBP is a novel method that allows flexibility in analysis design, and which is sensitive to slight, but meaningful between-group differences in biomarkers in very complex datasets

resultsThe IBP model identified several subpopulations of patients having defined biomarker values. Tumor necrosis and viable cell content in the tumor were identified as prognostic markers of disease progression, as were the well-known HCC prognostic markers of disease progression, alpha-fetoprotein and Glypican-3 expression. Predictive markers of treatment response included natural killer (NK) cell surface markers and parameters influencing NK cell activity, all related to the mechanism of action of this drug

conclusionsThe Indian buffet process can be effectively used to detect statistically significant signals with high sensitivity in complex and noisy biological data

trial registrationNCT01507168 , January 6, 2012.

Indexed as

alpha-FetoproteinsAntibodies, Monoclonal, HumanizedBiomarkers, TumorCarcinoma, HepatocellularCase-Control StudiesDisease ProgressionFemaleGene Expression Regulation, NeoplasticGlypicansHumansLiver NeoplasmsMaleModels, StatisticalSurvival AnalysisTreatment OutcomeAFP protein, humanalpha-FetoproteinsAntibodies, Monoclonal, HumanizedBiomarkers, TumorcodrituzumabGlypicansGPC3 protein, humanCodrituzumabIndian buffet processNatural killer cells

Identifiers

PMID30922327
PMCPMC6438135
OpenAlexW2931679864

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.