Evidence map›Paper›PMID 29850158›Full record

ReviewJournal of thoracic disease2018

Lung cancer early detection and health disparities: the intersection of epigenetics and ethnicity.

Lane Lerner, Robert Winn, Alicia Hulbert

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. CEACAM7 Expression and DNA Methylation: Prognostic Biomarkers for Lung Adenocarcinoma in African Americans.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2026
    Article
  4. Article
  5. Article
  6. Beyond Barriers: Achieving True Equity in Cancer Care.Current oncology (Toronto, Ont.) · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Clinical application of quantitative glycomics.Expert review of proteomics · 2018
    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

3 authors at 1 institution in 1 country.

Lane Lerner1University of Illinois at Chicago Cancer Center, 2Department of Surgery/Cancer Center University of Illinois at Chicago Cancer Center, University of Illinois Hospital and Health Sciences System, Chicago, USA.
Robert Winn1University of Illinois at Chicago Cancer Center, 2Department of Surgery/Cancer Center University of Illinois at Chicago Cancer Center, University of Illinois Hospital and Health Sciences System, Chicago, USA.
Alicia Hulbert1University of Illinois at Chicago Cancer Center, 2Department of Surgery/Cancer Center University of Illinois at Chicago Cancer Center, University of Illinois Hospital and Health Sciences System, Chicago, USA.
University of Illinois Hospital & Health Sciences System · US

Funding

Research Education CoreU54CA202997 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI CIECIERSKI, CHRISTINA, FEINGLASS, JOSEPH M · 2015 to 2024
$13.8M
Research Education CoreU54CA203000 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CIECIERSKI, CHRISTINA, FEINGLASS, JOSEPH M · 2015 to 2024
$12.4M
The Chicago Cancer Health Equity Collaborative (ChicagoCHEC)U54CA202995 · NCI · NORTHEASTERN ILLINOIS UNIVERSITY · PI CIECIERSKI, CHRISTINA, FEINGLASS, JOSEPH M · 2015 to 2024
$9.5M
NCI NIH HHS U54 CA202995NCI NIH HHS U54 CA202997NCI NIH HHS U54 CA203000
6 · The paper itself

Abstract

Lung cancer is the most prominent cause of cancer-related mortality. Significant disparities in incidence and outcome characterize the disease's manifestations among ethnically and racially diverse populations. Complete surgical resection is the most effective curative treatment. However, success relies on early tumor detection. The National Lung Cancer Screening trial showed that lung cancer related mortality can be reduced by the use of low-dose CT (LDCT) screening. However, this test is plagued by a high false positive rate of 97% and the device itself is limited to designated cancer centers due to its expense and size. This restriction makes it difficult for underserved groups to access LDCT screening, the current standard of care. Highly sensitive and specific epigenetic DNA methylation-based biomarkers have the potential to work independently or in conjunction with LDCT screening to identify early-stage tumors. These tests could reduce unnecessary invasive confirmatory diagnostic tests and their associated morbidity and mortality. These tests also have the opportunity to bring lung cancer screening to the community thereby reducing unequal accessibility. However, epigenetic alterations are closely linked to the interplay between hereditary and environmental factors such as diet, lifestyle, ethnic ancestry, toxin exposure, residential segregation, and disparate community support structures. Despite this, the overwhelming number of early detection DNA methylation biomarker studies to date have either failed to control for ethnicity or have employed heavily Caucasian-biased patient cohorts. This review seeks to summarize the literature related to the early detection of lung cancer through molecular biomarkers among different ethnicities. Ethnical specific epigenetic biomarkers have the potential to be the first step towards an accessible, available personalized medicine approach to cancer through liquid biopsy.

Indexed as

biomarkersdisparityepigeneticsgeneticsLung cancertumor markers

Identifiers

PMID29850158
PMCPMC5949470
OpenAlexW2800275068

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.