Evidence map›Paper›PMID 31218268›Full record

ArticleComputational toxicology (Amsterdam, Netherlands)2018

BCScreen: A gene panel to test for breast carcinogenesis in chemical safety screening.

Rachel G Grashow, Vanessa Y De La Rosa, Sean M Watford, Janet M Ackerman, Ruthann A Rudel

Open access · greenAbstract read
In one paragraph

Article in Computational toxicology (Amsterdam, Netherlands), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.4field-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

8 citing papers in PubMed, 11 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Rachel G GrashowSilent Spring Institute, 320 Nevada Street, Newton, MA 02460, United States.
Vanessa Y De La RosaSilent Spring Institute, 320 Nevada Street, Newton, MA 02460, United States.
Sean M WatfordDepartment of Environmental Sciences and Engineering, Gillings School of Global Public Health, UNC-Chapel Hill, Chapel Hill, NC, United States.
Janet M AckermanSilent Spring Institute, 320 Nevada Street, Newton, MA 02460, United States.
Ruthann A RudelSilent Spring Institute, 320 Nevada Street, Newton, MA 02460, United States.
Silent Spring Institute · USNortheastern University · USUniversity of North Carolina at Chapel Hill · US

Funding

Transdisciplinary Training at the Intersection of Environmental Health Science and Social Science (EH+SS)T32ES023769 · NIEHS · NORTHEASTERN UNIVERSITY · PI BRODY, JULIA GREEN, BROWN, PHILIP M. · 2015 to 2025
$3.0M
NIEHS NIH HHS T32 ES023769
6 · The paper itself

Abstract

Targeted gene lists have been used in clinical settings to specify breast tumor type, and to predict breast cancer prognosis and response to treatment. Separately, panels have been curated to predict systemic toxicity and xenoestrogen activity as a part of chemical screening strategies. However, currently available panels do not specifically target biological processes relevant to breast development and carcinogenesis. We have developed a gene panel called the Breast Carcinogen Screen (BCScreen) as a tool to identify potential breast carcinogens and characterize mechanisms of toxicity. First, we used four seminal reviews to identify 14 key characteristics of breast carcinogenesis, such as apoptosis, immunomodulation, and genotoxicity. Then, using a hybrid data and knowledge-driven framework, we systematically combined information from whole transcriptome data from genomic databases, biomedical literature, the CTD chemical-gene interaction database, and primary literature review to generate a panel of 500 genes relevant to breast carcinogenesis. We used normalized pointwise mutual information (NPMI) to rank genes that frequently co-occurred with key characteristics in biomedical literature. We found that many genes identified for BCScreen were not included in prognostic breast cancer or systemic toxicity panels. For example, more than half of BCScreen genes were not included in the Tox21 S1500+ general toxicity gene list. Of the 230 that did overlap between the two panels, representation varied across characteristics of carcinogenesis ranging from 21% for genes associated with epigenetics to 82% for genes associated with xenobiotic metabolism. Enrichment analysis of BCScreen identified pathways and processes including response to steroid hormones, cancer, cell cycle, apoptosis, DNA damage and breast cancer. The biologically-based systematic approach to gene prioritization demonstrated here provides a flexible framework for creating disease-focused gene panels to support discovery related to etiology. With validation, BCScreen may also be useful for toxicological screening relevant to breast carcinogenesis.

Indexed as

Breast cancerChemical carcinogenesisEndocrine disrupting chemicalNormalized pointwise mutual informationXenoestrogen

Identifiers

PMID31218268
PMCPMC6583811
OpenAlexW2770608592

What OpenQuestion holds

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LicenceTDM
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.