Evidence map›Paper›PMID 25956173›Full record

ArticleJournal of the National Cancer Institute2015

Is bad luck the main cause of cancer?

C R Weinberg, D Zaykin

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The role of chance in cancer causation.La Medicina del lavoro · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Area-Level Poverty and Excess Hospital Readmission Ratios.The American journal of medicine · 2017
    Article
  16. The Obesity-Breast Cancer Conundrum: An Analysis of the Issues.International journal of molecular sciences · 2016
    Review
  17. Article
  18. Cancer Prevention: Obstacles, Challenges and the Road Ahead.Journal of the National Cancer Institute · 2016
    Review
  19. Article
  20. Strategies to Prevent "Bad Luck" in Cancer.Journal of the National Cancer Institute · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

C R Weinberg: Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC (CRW, DZ). weinber2@niehs.nih.gov.
D Zaykin: Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Research Triangle Park, NC (CRW, DZ).

Funding

Statistical, population genetics and genetic epidemiologyZIAES101866 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI ZAYKIN, DMITRI V · 2009 to 2021
$5.8M
Statistical Methods In Epidemiology--generalZIAES040006 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WEINBERG, CLARICE · 2009 to 2025
$4.5M
Intramural NIH HHSNIEHS NIH HHS ES040006
6 · The paper itself

Abstract

A recent study reports that the log lifetime incidence rate across a selection of 31 cancer types is highly correlated with the log of the estimated tissue-specific lifetime number of stem cell divisions. This observation, which underscores the importance of errors in DNA replication, has been viewed as implying that most cancers arise through unavoidable bad luck, leading to the suggestion that research efforts should focus on early detection, rather than etiology or prevention. We argue that three statistical issues can, if ignored, lead analysts to incorrect conclusions. Statistics for traffic fatalities across the United States provide an example to demonstrate those inferential pitfalls. While the contribution of random cellular events to disease is often underappreciated, the role of chance is necessarily difficult to quantify. The conclusion that most cases of cancer are fundamentally unpreventable because they are the result of chance is unwarranted.

Indexed as

Cell DivisionAccidents, TrafficHumansIncidenceNeoplasmsRisk FactorsUnited States

Identifiers

PMID25956173
PMCPMC4822527

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.