Evidence map›Paper›PMID 31360640›Full record

ArticleToxicology reports2019

Quantifying association between liver tumor incidence and early-stage liver weight increase - An NTP data analysis.

Kan Shao, Qiran Chen, Zemin Wang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Toxicology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 53% 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, 6 citations in OpenAlex.

  1. Transferability and Reproducibility of the HepaRG CometChip Assay.Environmental and molecular mutagenesis · 2025
    Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Kan ShaoDepartment of Environmental and Occupational Health, School of Public Health, Indiana University, Bloomington, IN, 47405, USA.
Qiran ChenDepartment of Environmental and Occupational Health, School of Public Health, Indiana University, Bloomington, IN, 47405, USA.
Zemin WangDepartment of Environmental and Occupational Health, School of Public Health, Indiana University, Bloomington, IN, 47405, USA.
Indiana University Bloomington · US

Funding

Software and services to advance dose-response modeling in chemical risk assesmentR41TR002567 · NCATS · KS AND ASSOCIATES, LLC · PI SHAO, KAN · 2018 to 2019
$300k
NCATS NIH HHS R41 TR002567
6 · The paper itself

Abstract

Two-year toxicology and carcinogenesis rodent studies conducted at the National Toxicology Program (NTP) are used to identify potential adverse health effects in humans due to chemical exposure, including cancer. Liver tumor, the most frequently diagnosed tumor type of chemically induced neoplastic effects documented in NTP's carcinogenicity studies, is usually difficult to be detected at early stage due to the inconspicuous symptoms. However, the abnormal growth of liver cells can lead to liver weight increase, so it is hypothesized that liver tumor incidence is associated with early stage liver weight increase. In this study, the association between liver weight increase and liver tumor incidence are quantified by (1) calculating the correlation coefficient of and (2) building quantitative linear relationship between benchmark dose estimates derived from these two types of data collected from NTP studies. Together with 151 chemical/species/sex combinations of liver tumor data showing positive evidence collected from 76 NTP long-term studies, short-term liver weight data reported in the same NTP report were extracted to be paired with the liver tumor data for the analyses. Results show that the estimated correlation coefficients (as high as 0.78) along with the adequately fitted linear models suggest that the association between relative liver weight increase and aggregated liver tumor incidence are relatively strong. Additional analyses focused on some more specific situations (e.g., specific tumor type or specific strain/sex combination) further confirmed the strong association. Given the design of this study, the interpretation of the findings is not that liver weight increase can be used to predict liver tumor incidence, instead, evident increase in liver weight might be used as a reason to prioritize the test article for a two-year toxicology and carcinogenesis study.

Indexed as

Benchmark doseCarcinogenicityLiver tumorLiver weightNTPRisk assessment

Identifiers

PMID31360640
PMCPMC6639686
OpenAlexW2961879803

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.