Evidence map›Paper›PMID 8741801›Full record

ReviewEnvironmental health perspectives1995

Using biomarkers of genetic susceptibility to enhance the study of cancer etiology.

N Rothman, R B Hayes

Abstract readReview
In one paragraph

Review in Environmental health perspectives, 1995. 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
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.

  1. Review
  2. Estimating avoidable causes of cancer.Environmental health perspectives · 1995
    Article
  3. Review
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.

N RothmanEnvironmental Epidemiology Branch, National Cancer Institute, Bethesda, Maryland, USA. rothmann@epndce.nci.nih.gov
R B Hayes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There has been increasing interest in the interaction of genetic susceptibility and xenobiotic exposures in cancer etiology. Study of gene-environment interactions may increase our ability to characterize relatively low population risks if a substantial proportion of the population cancer burden is attributed to high risk among a smaller group of genetically susceptible members. Further, these studies may provide insight into the mechanism of carcinogenesis, which can help establish the biologic plausibility of an exposure-cancer relationship. Biologic processes important in tumorigenesis that exhibit substantial interindividual differences may function as susceptibility factors. Potential examples include polymorphic enzymes, which activate and detoxify procarcinogens and carcinogens (e.g., certain P450 enzymes, N-acetyltransferase [NAT2], glutathione S-transferase M1), and variation in the capacity to repair DNA. Biologic assays are now available to evaluate many of these functions at the DNA and phenotype level and can be readily incorporated into studies of cancer etiology.

Indexed as

Disease SusceptibilityDNA RepairEnvironmental MonitoringGenetic MarkersHumansNeoplasmsPolymorphism, GeneticXenobioticsGenetic MarkersXenobiotics

Identifiers

PMID8741801
PMCPMC1518950

What OpenQuestion holds

Textmetadata
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.