Evidence map›Paper›PMID 28320689›Full record

ArticleJMIR research protocols2017

Use of the Total Cancer Care System to Enrich Screening for CD30-Positive Solid Tumors for Patient Enrollment Into a Brentuximab Vedotin Clinical Trial: A Pilot Study to Evaluate Feasibility.

Bin Li, Steven A Eschrich, Anders Berglund, Melissa Mitchell, David Fenstermacher, Hadi Danaee, Hongyue Dai, Daniel Sullivan, William L Trepicchio, William S Dalton

Open access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Cohort Identification for Translational Bioinformatics Studies.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  3. Observational
  4. 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

10 authors at 2 institutions in 1 country.

Bin LiTakeda Pharmaceuticals International Company, Takeda Data Science Institute, Cambridge, MA, United States.ORCID http://orcid.org/0000-0002-3419-5665
Steven A EschrichH Lee Moffitt Cancer Center and Research Institute, Biostatistics and Bioinformatics, Tampa, FL, United States.ORCID http://orcid.org/0000-0002-9833-2788
Anders BerglundH Lee Moffitt Cancer Center and Research Institute, Biostatistics and Bioinformatics, Tampa, FL, United States.ORCID http://orcid.org/0000-0002-0393-3530
Melissa MitchellM2Gen, Administration, Tampa, FL, United States.ORCID http://orcid.org/0000-0002-6449-3364
David FenstermacherMedImmune, LLC, Research Bioinformatics, Gaithersburg, MD, United States.ORCID http://orcid.org/0000-0001-5168-1801
Hadi DanaeeTakeda Pharmaceuticals International Company, Translational and Biomarker Research, Cambridge, MA, United States.ORCID http://orcid.org/0000-0003-1225-1301
Hongyue DaiM2Gen, Bioinformatics, Tampa, FL, United States.ORCID http://orcid.org/0000-0002-6609-9141
Daniel SullivanH Lee Moffitt Cancer Center and Research Institute, Blood and Marrow Transplantation, Tampa, FL, United States.ORCID http://orcid.org/0000-0002-2183-1773
William L TrepicchioTakeda Pharmaceuticals International Company, Translational and Biomarker Research, Cambridge, MA, United States.ORCID http://orcid.org/0000-0002-9989-0183
William S DaltonM2Gen, Administration, Tampa, FL, United States.ORCID http://orcid.org/0000-0003-2582-0454
Moffitt Cancer Center · USTakeda (United States) · US

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

backgroundOne approach to identify patients who meet specific eligibility criteria for target-based clinical trials is to use patient and tumor registries to prescreen patient populations.

objectiveHere we demonstrate that the Total Cancer Care (TCC) Protocol, an ongoing, observational study, may provide a solution for rapidly identifying patients with CD30-positive tumors eligible for CD30-targeted therapies such as brentuximab vedotin.

methodsThe TCC patient gene expression profiling database was retrospectively screened for CD30 gene expression determined using HuRSTA-2a520709 Affymetrix arrays (GPL15048). Banked tumor tissue samples were used to determine CD30 protein expression by semiquantitative immunohistochemistry. Statistical comparisons of Z- and H-scores were performed using R statistical software (The R Foundation), and the predictive value, accuracy, sensitivity, and specificity of CD30 gene expression versus protein expression was estimated.

resultsAs of March 2015, 120,887 patients have consented to the institutional review board-approved TCC Protocol. A total of 39,157 fresh frozen tumor specimens have been collected, from which over 14,000 samples have gene expression data available. CD30 RNA was expressed in a number of solid tumors; the highest median CD30 RNA expression was observed in primary tumors from lymph node, soft tissue (many sarcomas), lung, skin, and esophagus (median Z-scores 1.011, 0.399, 0.202, 0.152, and 1.011, respectively). High level CD30 gene expression significantly enriches for CD30-positive protein expression in breast, lung, skin, and ovarian cancer; accuracy ranged from 72% to 79%, sensitivity from 75% to 100%, specificity from 70% to 76%, positive predictive value from 20% to 40%, and negative predictive value from 95% to 100%.

conclusionsThe TCC gene expression profiling database guided tissue selection that enriched for CD30 protein expression in a number of solid tumor types. Such an approach may improve screening efficiency for enrolling patients into biomarker-based clinical trials.

Indexed as

antitumor agentsCD30 antigenclinical trialdatabase management systemsmedical oncology

Identifiers

PMID28320689
PMCPMC5379017
OpenAlexW2598547790

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.