Evidence map›Paper›PMID 30817750›Full record

Trial reportPloS one2019

Reproducibility of pharmacogenetics findings for paclitaxel in a heterogeneous population of patients with lung cancer.

Tristan M Sissung, Arun Rajan, Gideon M Blumenthal, David J Liewehr, Seth M Steinberg, Arlene Berman, Giuseppe Giaccone, William D Figg

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Comparison of Eight Technologies to Determine Genotype at the UGT1A1 (TA)International journal of molecular sciences · 2020
    Article
  6. Review
  7. Article
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

8 authors at 3 institutions in 1 country.

Tristan M SissungClinical Pharmacology Program, Office of the Clinical Director, National Cancer Institute, Bethesda, Maryland, United States of America.
Arun RajanThoracic and Gastrointestinal Oncology Branch, Office of the Clinical Director, National Cancer Institute, Bethesda, Maryland, United States of America.
Gideon M BlumenthalThoracic and Gastrointestinal Oncology Branch, Office of the Clinical Director, National Cancer Institute, Bethesda, Maryland, United States of America.
David J LiewehrBiostatistics and Data Management Section, Office of the Clinical Director, National Cancer Institute, Bethesda, Maryland, United States of America.
Seth M SteinbergBiostatistics and Data Management Section, Office of the Clinical Director, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID 0000-0002-8280-551X
Arlene BermanOffice of Research Nursing in the Office of the Clinical Director, Office of the Clinical Director, National Cancer Institute, Bethesda, MD, United States of America.
Giuseppe GiacconeDepartment of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, D.C., United States of America.
William D FiggClinical Pharmacology Program, Office of the Clinical Director, National Cancer Institute, Bethesda, Maryland, United States of America.
National Cancer Institute · USOffice of the Director · USGeorgetown University · US

Funding

Office of Collaborative BiostatisticsZIDSC007202 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI CHOO-WOSOBA, HYOYOUNG · 2009 to 2025
$14.5M
Clinical PharmacogeneticsZIABC010627 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI FIGG, WILLIAM DOUGLAS · 2009 to 2025
$13.9M
Intramural NIH HHS ZIA BC010627NCI NIH HHS ZIA BC010627
6 · The paper itself

Abstract

Pharmacogenetics studies have identified several allelic variants with the potential to reduce toxicity and improve treatment outcome. The present study was designed to determine if such findings are reproducible in a heterogenous population of patients with lung cancer undergoing therapy with paclitaxel. We designed a prospective multi-institutional study that recruited n = 103 patients receiving paclitaxel therapy with a 5-year follow up. All patients were genotyped using the Drug Metabolizing Enzymes and Transporters (DMET) platform, which ascertains 1931 genotypes in 235 genes. Progression-free survival (PFS) of paclitaxel therapy and clinically-significant paclitaxel toxicities were classified and compared according to genotype. Initial screening revealed eleven variants that are associated with PFS. Of these, seven variants in ABCB11 (rs4148768), ABCC3 (rs1051640), ABCG1 (rs1541290), CYP8B1 (rs735320), NR3C1 (rs6169), FMO6P (rs7889839), and GSTM3 (rs7483) were associated with paclitaxel PFS in a multivariate analysis accounting for clinical covariates. Multivariate analysis revealed four SNPs in VKORC1 (rs2884737), SLC22A14 (rs4679028), GSTA2 (rs6577), and DCK (rs4643786) were associated with paclitaxel toxicities. With the exception of a variant in VKORC1, the present study did not find the same genetic outcome associations of other published research on pharmacogenetics variants that affect paclitaxel outcomes. This finding suggests that prior pharmacogenomics research findings may not be reproduced in the most frequently-diagnosed malignancy, lung cancer.

Indexed as

Absorption, PhysicochemicalAdultAgedAged, 80 and overBiological TransportDrug InteractionsFemaleGenotypeHumansLung NeoplasmsMaleMiddle AgedPaclitaxelPharmacogeneticsProspective StudiesTaxoidsPaclitaxelTaxoids

Identifiers

PMID30817750
PMCPMC6394902
OpenAlexW2919908695

What OpenQuestion holds

Textmetadata
LicenceCC0
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.