Evidence map›Paper›PMID 28693886›Full record

ArticleChemico-biological interactions2017

Investigation of the presence in human urine of mercapturic acids derived from phenanthrene, a representative polycyclic aromatic hydrocarbon.

Guang Cheng, Adam T Zarth, Pramod Upadhyaya, Peter W Villalta, Silvia Balbo, Stephen S Hecht

Abstract read
In one paragraph

Article in Chemico-biological interactions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 94% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 1 institution in 1 country.

Guang ChengMasonic Cancer Center, University of Minnesota, USA.
Adam T ZarthMasonic Cancer Center, University of Minnesota, USA.
Pramod UpadhyayaMasonic Cancer Center, University of Minnesota, USA.
Peter W VillaltaMasonic Cancer Center, University of Minnesota, USA.
Silvia BalboMasonic Cancer Center, University of Minnesota, USA.
Stephen S HechtMasonic Cancer Center, University of Minnesota, USA. Electronic address: hecht002@umn.edu.
University of Minnesota · US

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
Benzo(a) pyrene Metabolism: Phenotyping and GenotypingR01CA092025 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI HECHT, STEPHEN S · 2001 to 2016
$5.0M
Mass Spectrometric Analytical Collaborations with Members of the Masonic Cancer Center of the University of MinnesotaR50CA211256 · NCI · UNIVERSITY OF MINNESOTA · PI Peter William Villalta · 2016 to 2026
$2.1M
NCI NIH HHS P30 CA077598NCI NIH HHS R01 CA092025NCI NIH HHS R50 CA211256
6 · The paper itself

Abstract

Polycyclic aromatic hydrocarbons (PAH) are environmental carcinogens implicated as causes of cancer in certain industrial settings and in cigarette smokers. PAH require metabolic activation to exert their carcinogenic effects. One widely accepted pathway of metabolic activation proceeds through formation of "bay region" diol epoxides which are highly reactive with DNA and can cause mutations. Phenanthrene (Phe) is the simplest PAH with a bay region and an excellent model for the study of PAH metabolism. In previous studies in which [D

Indexed as

AcetylcysteineChromatography, High Pressure LiquidGlutathione TransferaseHumansPhenanthrenesPolycyclic Aromatic HydrocarbonsStereoisomerismTandem Mass SpectrometryAcetylcysteineGlutathione TransferasePhenanthrenesPolycyclic Aromatic HydrocarbonsHuman urineMercapturic acidsPhenanthrene metabolism

Identifiers

PMID28693886
PMCPMC5584071
OpenAlexW2732478374

What OpenQuestion holds

Textmetadata
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.