Evidence map›Paper›PMID 25063520›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2014

Tumor-based case-control studies of infection and cancer: muddling the when and where of molecular epidemiology.

Eric A Engels, Sholom Wacholder, Hormuzd A Katki, Anil K Chaturvedi

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Eric A EngelsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland. engelse@exchange.nih.gov.
Sholom WacholderDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Hormuzd A KatkiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
Anil K ChaturvediDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland.
National Cancer Institute · USDivision of Cancer Epidemiology and Genetics

Funding

Infections, immunity, and inflammation in cancerZIACP010150 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ENGELS, ERIC A · 2009 to 2025
$24.0M
Intramural NIH HHS ZIA CP010150
6 · The paper itself

Abstract

We describe the "tumor-based case-control" study as a type of epidemiologic study used to evaluate associations between infectious agents and cancer. These studies assess exposure using diseased tissues from affected individuals (i.e., evaluating tumor tissue for cancer cases), but they must utilize nondiseased tissues to assess control subjects, who do not have the disease of interest. This approach can lead to exposure misclassification in two ways. First, concerning the "when" of exposure assessment, retrospective assessment of tissues may not accurately measure exposure at the key earlier time point (i.e., during the etiologic window). Second, concerning the "where" of exposure assessment, use of different tissues in cases and controls can have different accuracy for detecting the exposure (i.e., differential exposure misclassification). We present an example concerning the association of human papillomavirus with various cancers, where tumor-based case-control studies likely overestimate risk associated with infection. In another example, we illustrate how tumor-based case-control studies of Helicobacter pylori and gastric cancer underestimate risk. Tumor-based case-control studies can demonstrate infection within tumor cells, providing qualitative information about disease etiology. However, measures of association calculated in tumor-based case-control studies are prone to over- or underestimating the relationship between infections and subsequent cancer risk.

Indexed as

Case-Control StudiesCommunicable DiseasesHumansMolecular EpidemiologyNeoplasmsResearch Design

Identifiers

PMID25063520
PMCPMC4184938
OpenAlexW2110930036

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.