Ecological studyindependent cross-checkabstract checked★ key study I-CAN-117 in-depth review

Random copying errors in cells and cancer

Stem cell divisions, somatic mutations, cancer etiology, and cancer prevention.

Overview

Tomasetti C et al.. Science 2017 · PMID 28336671 · DOI 10.1126/science.aaf9011

About two-thirds of cancer mutations may come from random errors when cells divide; preventable causes still matter.

Does the study support the specific claim? Partly · Methodological quality: moderate

Original publication

Plain-language summary

Study explained simply
What did the researchers want to find out?

Estimate sources of cancer mutations.

How was the study done?

Modelling across countries and genomes.

How many people, animals or samples were studied?

17 cancer types, 69 countries.

What was actually found?

Replication errors are a major source.

How large was the observed effect?

~2/3 of mutations.

What do the results mean in everyday life?

Not every cancer is caused by lifestyle, but many are preventable.

What are the study's limitations?

Contested method.

What does it say about Elawady's specific claim?

Partly supports internal origin, not a 'plan'.

Do the results apply to Germany and Europe?

High.

What can explicitly not be concluded from this study?

Purpose or benefit of cancer.

Scientific in-depth review

1. Full reference

Authors
Tomasetti C et al.
Journal
Science
Year
2017
Identifier
PMID 28336671 DOI 10.1126/science.aaf9011
Verification
verified – PubMed efetch 2026-10-26 + Crossref
Retracted
no
Corrections
none
Extent checked
abstract only
Conflicts of interest and funding

NIH grants; COI arrangement managed by JHU (PubMed record)

2. Research question

How much do replication errors in dividing stem cells, environment and heredity contribute to cancer mutations?

3. Study design and population

Study design
Ecological study – Ecological and genomic modelling study
Population

17 cancer types in 69 countries; cancer genome data

Country

International

Period

Published 2017

Sample size

17 cancer types, 69 countries

Inclusion and exclusion criteria

not stated

4. Methods and endpoints

Exposure / intervention

Lifetime stem cell divisions

Comparator

not applicable

Endpoints

Cancer incidence; mutation origin

Statistical methods

Correlation; genomic attribution

5. Actual results

Results

Strong correlation (median 0.80) between cancer incidence and normal stem cell divisions in all countries; replication errors estimated responsible for two-thirds of mutations in human cancers; results stated as consistent with epidemiological estimates of the fraction of cancers preventable by environmental changes.

Absolute risks

not applicable

Authors' conclusion

Replication errors play a major role in cancer aetiology; early detection is important for cancers arising from unavoidable mutations.

6. Strengths

  • Multinational data
  • Two independent approaches

7. Weaknesses

  • Mutation share is not the same as share of cases preventable
  • Contested methodology

8. Risk of bias

Orienting tool
none applicable
Type of assessment
simplified assessment (abstract only)
Full formal assessment
no
Overall risk of bias
some concerns
Rationale

Ecological correlation; modelling assumptions debated.

9. Assessment of the statistical interpretation

'Two-thirds of mutations' is not 'two-thirds of cancers'; one mutation from smoking can still be necessary for a cancer.

10. Relevance to the specific claim

Supports a kernel of Elawady's view (much cancer arises from internal cellular processes, chance) but explicitly not that external causes are irrelevant.

11. Independent contrary findings

The authors state consistency with epidemiological estimates that a large fraction of cancers is preventable (e.g. I-CAN-02).

12. Transferability to Germany and Europe

High.

13. Overall methodological judgement

Mixed: internal origin of mutations is real; 'not caused by external agents' and 'purposeful plan' are not supported.

Multidimensional assessment
Multidimensional assessment
Authenticity of the sourceverified
Methodological qualitymoderate
Risk of biassome concerns
Precision of resultsnot applicable
Directnessindirect
Reproducibilitypartly replicated
Consistency with the overall evidencemixed
Regional transferabilityhigh
Adequacy of the interpretation (by the archive)not applicable

14. Open questions

15. Linked fact checks