Evidence map›Paper›PMID 26675728›Full record

ArticleNature2016

Substantial contribution of extrinsic risk factors to cancer development.

Song Wu, Scott Powers, Wei Zhu, Yusuf A Hannun

Abstract read
In one paragraph

Article in Nature, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 300 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
300citing papers in PubMed, 5 pooled it
–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

300 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. A Meta-Analysis of MiRNA-497 and Prognosis of Hepatocellular Carcinoma.Canadian journal of gastroenterology & hepatology · 2024
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240 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Song WuDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, USA.
Scott PowersDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, USA.
Wei ZhuDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, New York 11794, USA.
Yusuf A HannunStony Brook Cancer Center, Stony Brook University, Health Sciences Center, Stony Brook, New York 11794, USA.

Funding

Single-Cell Biology Shared ResourceP30CA045508 · NCI · COLD SPRING HARBOR LABORATORY · PI John Edward Moses · 1987 to 2026
$118.9M
Sphingolipids in Cancer Therapy and AngiogenesisP01CA097132 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI Daniel Canals · 2003 to 2026
$30.8M
Neutral Sphingomyelinases and Bioactive CeramidesR35GM118128 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI HANNUN, YUSUF AWNI · 2016 to 2025
$7.9M
CERAMIDE ACTIVATED PROTEIN PHOSPHATASESR01CA087584 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI HANNUN, YUSUF AWNI · 2000 to 2015
$4.2M
Neutral Ceramidase in Colon CancerR01CA172517 · NCI · STATE UNIVERSITY NEW YORK STONY BROOK · PI HANNUN, YUSUF AWNI · 2013 to 2016
$1.3M
NCI NIH HHS P01 CA097132NCI NIH HHS P30 CA045508NCI NIH HHS R01 CA087584NCI NIH HHS R01 CA172517NIGMS NIH HHS R35 GM118128
6 · The paper itself

Abstract

Recent research has highlighted a strong correlation between tissue-specific cancer risk and the lifetime number of tissue-specific stem-cell divisions. Whether such correlation implies a high unavoidable intrinsic cancer risk has become a key public health debate with the dissemination of the 'bad luck' hypothesis. Here we provide evidence that intrinsic risk factors contribute only modestly (less than ~10-30% of lifetime risk) to cancer development. First, we demonstrate that the correlation between stem-cell division and cancer risk does not distinguish between the effects of intrinsic and extrinsic factors. We then show that intrinsic risk is better estimated by the lower bound risk controlling for total stem-cell divisions. Finally, we show that the rates of endogenous mutation accumulation by intrinsic processes are not sufficient to account for the observed cancer risks. Collectively, we conclude that cancer risk is heavily influenced by extrinsic factors. These results are important for strategizing cancer prevention, research and public health.

Indexed as

Cell Self RenewalModels, BiologicalCell Transformation, NeoplasticDisease ProgressionHumansMutagenesisMutation AccumulationNeoplasmsOrgan SpecificityReproducibility of ResultsRisk AssessmentStem Cells

Identifiers

PMID26675728
PMCPMC4836858

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.