Evidence map›Paper›PMID 35563062›Full record

ReviewInternational journal of molecular sciences2022

Epigenetic Inheritance: Intergenerational Effects of Pesticides and Other Endocrine Disruptors on Cancer Development.

Heloiza Diniz Nicolella, Sonia de Assis

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
9.5field-weighted citation impact, top 2% 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

21 citing papers in PubMed, 48 citations in OpenAlex.

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  12. Chromosomal Damage, Chromosome Instability, and Polymorphisms inInternational journal of molecular sciences · 2024
    Article
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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

2 authors at 2 institutions in 1 country.

Heloiza Diniz NicolellaGeorgetown University Medical Center, Washington, DC 20057, USA.
Sonia de AssisGeorgetown University Medical Center, Washington, DC 20057, USA.
Georgetown University · USGeorgetown University Medical Center · US

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI MARCUS S NOEL · 1990 to 2026
$71.5M
Paternal DDT exposure and programming of metabolic dysfunction and cancer in offspring: Understanding the role of sperm mirnas and placenta developmentR01ES031611 · NIEHS · GEORGETOWN UNIVERSITY · PI DE ASSIS, SONIA · 2021 to 2025
$2.6M
American Cancer Society RSG-16-203-01-NECNCI NIH HHS P30 CA051008NIEHS NIH HHS R01 ES031611NIH HHS ES031611NIH HHS P30-CA51008
6 · The paper itself

Abstract

Parental environmental experiences affect disease susceptibility in the progeny through epigenetic inheritance. Pesticides are substances or mixtures of chemicals-some of which are persistent environmental pollutants-that are used to control pests. This review explores the evidence linking parental exposure to pesticides and endocrine disruptors to intergenerational and transgenerational susceptibility of cancer in population studies and animal models. We also discuss the impact of pesticides and other endocrine disruptors on the germline epigenome as well as the emerging evidence for how epigenetic information is transmitted between generations. Finally, we discuss the importance of this mode of inheritance in the context of cancer prevention and the challenges ahead.

Indexed as

Endocrine DisruptorsNeoplasmsPesticidesAnimalsDNA MethylationEpigenesis, GeneticInheritance PatternsEndocrine DisruptorsPesticidesenvironmentepigenetic inheritanceintergenerational transmissionpediatric and adult cancerpesticide

Identifiers

PMID35563062
PMCPMC9102839
OpenAlexW4224212355

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.