Evidence map›Paper›PMID 33939693›Full record

ArticlePLoS computational biology2021

Modeling historic incidence trends implies early field cancerization in esophageal squamous cell carcinoma.

Georg E Luebeck, Thomas L Vaughan, Kit Curtius, William D Hazelton

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2021. 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
0.6field-weighted citation impact, top 32% 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. Article
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.

Georg E LuebeckPublic Health Sciences Division, Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.ORCID 0000-0002-4378-2829
Thomas L VaughanProfessor Emeritus, Public Health Sciences Division, Cancer Epidemiology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.
Kit CurtiusDivision of Biomedical Informatics, Department of Medicine, University of California, San Diego, La Jolla, California, United States of America.ORCID 0000-0002-2678-0960
William D HazeltonPublic Health Sciences Division, Computational Biology Program, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.ORCID 0000-0002-7975-5080
Fred Hutch Cancer Center · USUniversity of California San Diego · US

Funding

VIRAL MALIGNANCYP30CA023100 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Jesse Nodora · 1985 to 2026
$124.9M
Controlling Esophageal Cancer in the US.: A Colloraborative Modeling ProjectU01CA152926 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HUR, CHIN, INADOMI, JOHN MATTHEW · 2010 to 2014
$3.9M
NCI NIH HHS P30 CA023100NCI NIH HHS U01 CA152926
6 · The paper itself

Abstract

Patterns of cancer incidence, viewed over extended time periods, reveal important aspects of multistage carcinogenesis. Here we show how a multistage clonal expansion (MSCE) model for cancer can be harnessed to identify biological processes that shape the surprisingly dynamic and disparate incidence patterns of esophageal squamous cell carcinoma (ESCC) in the US population. While the dramatic rise in esophageal adenocarcinoma (EAC) in the US has been largely attributed to reflux related increases in the prevalence of Barrett's esophagus (BE), the premalignant field in which most EAC are thought to arise, only scant evidence exists for field cancerization contributing to ESCC. Our analyses of incidence patterns suggest that ESCC is associated with a premalignant field that may develop very early in life. Although the risk of ESCC, which is substantially higher in Blacks than Whites, is generally assumed to be associated with late-childhood and adult exposures to carcinogens, such as from tobacco smoking, alcohol consumption and various industrial exposures, the temporal trends we identify for ESCC suggest an onset distribution of field-defects before age 10, most strongly among Blacks. These trends differ significantly in shape and strength from field-defect trends that we estimate for US Whites. Moreover, the rates of ESCC-predisposing field-defects predicted by the model for cohorts of black children are decreasing for more recent birth cohorts (for Blacks born after 1940). These results point to a potential etiologic role of factors acting early in life, perhaps related to nutritional deficiencies, in the development of ESCC and its predisposing field-defect. Such factors may explain some of the striking racial differences seen in ESCC incidence patterns over time in the US.

Indexed as

Cohort StudiesEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaHumansIncidenceRisk Factors

Identifiers

PMID33939693
PMCPMC8118544
OpenAlexW3159629263

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.