Evidence map›Paper›PMID 35580068›Full record

ArticleMolecular biology and evolution2022

Attribution of Cancer Origins to Endogenous, Exogenous, and Preventable Mutational Processes.

Vincent L Cannataro, Jeffrey D Mandell, Jeffrey P Townsend

Open access · goldAbstract read
In one paragraph

Article in Molecular biology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.5field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. An investigative network analysis mapping global cancer epidemiology.Theory in biosciences = Theorie in den Biowissenschaften · 2026
    Article
  4. Review
  5. Germline Predisposition to Oncogenic Alkylating Damage in Colorectal Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. EarlybioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Treatment of evolving cancers will require dynamic decision support.Annals of oncology : official journal of the European Society for Medical Oncology · 2023
    Review
  19. Review
  20. Mutation bias and the predictability of evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    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 2 institutions in 1 country.

Vincent L CannataroDepartment of Biology, Emmanuel College, Boston, MA, USA.ORCID 0000-0002-6364-7747
Jeffrey D MandellProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.ORCID 0000-0002-3839-2543
Jeffrey P TownsendProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT, USA.ORCID 0000-0002-9890-3907
Yale University · USEmmanuel College - Massachusetts · US

Funding

Yale Head and Neck Cancer SPORE: Overcoming Treatment Resistance in Head and Neck CancerP50DE030707 · NIDCR · YALE UNIVERSITY · PI BURTNESS, BARBARA · 2020 to 2024
$11.8M
Yale Cancer Biology Training GrantT32CA193200 · NCI · YALE UNIVERSITY · PI PETER M GLAZER, Qin Yan · 2016 to 2026
$3.6M
(PQ4) Novel tools for in vivo study of genetic interactions in cancer progressionR01CA231112 · NCI · YALE UNIVERSITY · PI CHEN, SIDI · 2018 to 2022
$3.0M
EVOLUTIONARY BIOINFORMATICS OF TUMOR PROFILESR01LM012487 · NLM · TEMPLE UNIV OF THE COMMONWEALTH · PI KUMAR, SUDHIR · 2016 to 2018
$1.0M
Application of Single Cell Technologies to Resolve SI-NET Cell of Origin and Cytome SignatureR21CA215900 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MAGNESS, SCOTT T · 2017 to 2018
$360k
NCI NIH HHS R01 CA231112NCI NIH HHS R21 CA215900NCI NIH HHS T32 CA193200NIDCR NIH HHS P50 DE030707NLM NIH HHS R01 LM012487
6 · The paper itself

Abstract

Mutational processes in tumors create distinctive patterns of mutations, composed of neutral "passenger" mutations and oncogenic drivers that have quantifiable effects on the proliferation and survival of cancer cell lineages. Increases in proliferation and survival are mediated by natural selection, which can be quantified by comparing the frequency at which we detect substitutions to the frequency at which we expect to detect substitutions assuming neutrality. Most of the variants detectable with whole-exome sequencing in tumors are neutral or nearly neutral in effect, and thus the processes generating the majority of mutations may not be the primary sources of the tumorigenic mutations. Across 24 cancer types, we identify the contributions of mutational processes to each oncogenic variant and quantify the degree to which each process contributes to tumorigenesis. We demonstrate that the origination of variants driving melanomas and lung cancers is predominantly attributable to the preventable, exogenous mutational processes associated with ultraviolet light and tobacco exposure, respectively, whereas the origination of selected variants in gliomas and prostate adenocarcinomas is largely attributable to endogenous processes associated with aging. Preventable mutations associated with pathogen exposure and apolipoprotein B mRNA-editing enzyme activity account for a large proportion of the cancer effect within head-and-neck, bladder, cervical, and breast cancers. These attributions complement epidemiological approaches-revealing the burden of cancer driven by single-nucleotide variants caused by either endogenous or exogenous, nonpreventable, or preventable processes, and crucially inform public health strategies.

Indexed as

NeoplasmsOncogenesCarcinogenesisExome SequencingHumansMaleMutationcancereffect sizeevolutionmolecular epidemiologymutational signaturespreventionpublic healthselectionsingle-nucleotide variantssomatic mutationtumor

Identifiers

PMID35580068
PMCPMC9113445
OpenAlexW4226439431

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.