Evidence map›Paper›PMID 34083039›Full record

ReviewMutation research. Reviews in mutation research

Relationships among smoking, oxidative stress, inflammation, macromolecular damage, and cancer.

Andrew W Caliri, Stella Tommasi, Ahmad Besaratinia

Open access · hybridAbstract readReview
In one paragraph

Review in Mutation research. Reviews in mutation research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 386 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
386citing papers in PubMed, 8 pooled it
31.3field-weighted citation impact, top 1% 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

386 citing papers in PubMed, 8 syntheses or guidelines pooled it, 624 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Methods to assess atherosclerotic cardiovascular risk in chronic respiratory diseases: a systematic review.European respiratory review : an official journal of the European Respiratory Society · 2025
    Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Trial
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Sex-specific associations of the bilirubin-to-albumin ratio with lung cancer risk: evidence from Cox regression and causal survival forest analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  20. Review

326 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Andrew W CaliriDepartment of Preventive Medicine, USC Keck School of Medicine, University of Southern California, M/C 9603, Los Angeles, CA 90033, USA.
Stella TommasiDepartment of Preventive Medicine, USC Keck School of Medicine, University of Southern California, M/C 9603, Los Angeles, CA 90033, USA.
Ahmad BesaratiniaDepartment of Preventive Medicine, USC Keck School of Medicine, University of Southern California, M/C 9603, Los Angeles, CA 90033, USA. Electronic address: besarati@med.usc.edu.
University of Southern California · US

Funding

Genetic epigenetic & transcripotomic effects of e-cig aerosol on oral epitheliumR01DE026043 · NIDCR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BESARATINIA, AHMAD · 2016 to 2019
$1.6M
NIDCR NIH HHS R01 DE026043
6 · The paper itself

Abstract

Smoking is a major risk factor for a variety of diseases, including cancer and immune-mediated inflammatory diseases. Tobacco smoke contains a mixture of chemicals, including a host of reactive oxygen- and nitrogen species (ROS and RNS), among others, that can damage cellular and sub-cellular targets, such as lipids, proteins, and nucleic acids. A growing body of evidence supports a key role for smoking-induced ROS and the resulting oxidative stress in inflammation and carcinogenesis. This comprehensive and up-to-date review covers four interrelated topics, including 'smoking', 'oxidative stress', 'inflammation', and 'cancer'. The review discusses each of the four topics, while exploring the intersections among the topics by highlighting the macromolecular damage attributable to ROS. Specifically, oxidative damage to macromolecular targets, such as lipid peroxidation, post-translational modification of proteins, and DNA adduction, as well as enzymatic and non-enzymatic antioxidant defense mechanisms, and the multi-faceted repair pathways of oxidized lesions are described. Also discussed are the biological consequences of oxidative damage to macromolecules if they evade the defense mechanisms and/or are not repaired properly or in time. Emphasis is placed on the genetic- and epigenetic alterations that may lead to transcriptional deregulation of functionally-important genes and disruption of regulatory elements. Smoking-associated oxidative stress also activates the inflammatory response pathway, which triggers a cascade of events of which ROS production is an initial yet indispensable step. The release of ROS at the site of damage and inflammation helps combat foreign pathogens and restores the injured tissue, while simultaneously increasing the burden of oxidative stress. This creates a vicious cycle in which smoking-related oxidative stress causes inflammation, which in turn, results in further generation of ROS, and potentially increased oxidative damage to macromolecular targets that may lead to cancer initiation and/or progression.

Indexed as

AnimalsAntioxidantsHumansInflammationNeoplasmsNicotianaOxidative StressReactive Oxygen SpeciesSmokingAntioxidantsReactive Oxygen SpeciesCarcinogenesisInflammatory diseaseOxidative damageReactive oxygen species (ROS)TarTobacco

Identifiers

PMID34083039
PMCPMC8287787
OpenAlexW3118780557

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.