Evidence map›Paper›PMID 30382874›Full record

ReviewJournal of experimental & clinical cancer research : CR2018

The role of cellular reactive oxygen species in cancer chemotherapy.

Haotian Yang, Rehan M Villani, Haolu Wang, Matthew J Simpson, Michael S Roberts, Min Tang, Xiaowen Liang

Open access · goldAbstract readReview
In one paragraph

Review in Journal of experimental & clinical cancer research : CR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 368 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
368citing papers in PubMed, 1 pooled it
24.1field-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

368 citing papers in PubMed, 1 synthesis or guideline pooled it, 776 citations in OpenAlex.

  1. Pooled it
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  13. Oxeiptosis - potential in cancer treatment?Expert reviews in molecular medicine · 2026
    Review
  14. Article
  15. Review
  16. Suppression of pre-B cell colony formation by catecholamine oxidation.Journal of immunology (Baltimore, Md. : 1950) · 2026
    Article
  17. Review
  18. Article
  19. Article
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308 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

7 authors at 5 institutions in 2 countries.

Haotian YangTherapeutics Research Group, The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Level 5 West, Brisbane, Australia.
Rehan M VillaniTherapeutics Research Group, The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Level 5 West, Brisbane, Australia.
Haolu WangTherapeutics Research Group, The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Level 5 West, Brisbane, Australia.
Matthew J SimpsonSchool of Mathematical Sciences, Queensland University of Technology, Brisbane, Australia.
Michael S RobertsTherapeutics Research Group, The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Level 5 West, Brisbane, Australia.
Min TangDepartment of Mathematics and Institute of Natural Sciences, Shanghai Jiao Tong University, Shanghai, China.
Xiaowen LiangTherapeutics Research Group, The University of Queensland Diamantina Institute, The University of Queensland, Translational Research Institute, Level 5 West, Brisbane, Australia. x.liang@uq.edu.au.
Translational Research Institute · AUUniversity of Queensland · AUQueensland University of Technology · AUSecond Military Medical University · CNShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most chemotherapeutics elevate intracellular levels of reactive oxygen species (ROS), and many can alter redox-homeostasis of cancer cells. It is widely accepted that the anticancer effect of these chemotherapeutics is due to the induction of oxidative stress and ROS-mediated cell injury in cancer. However, various new therapeutic approaches targeting intracellular ROS levels have yielded mixed results. Since it is impossible to quantitatively detect dynamic ROS levels in tumors during and after chemotherapy in clinical settings, it is of increasing interest to apply mathematical modeling techniques to predict ROS levels for understanding complex tumor biology during chemotherapy. This review outlines the current understanding of the role of ROS in cancer cells during carcinogenesis and during chemotherapy, provides a critical analysis of the methods used for quantitative ROS detection and discusses the application of mathematical modeling in predicting treatment responses. Finally, we provide insights on and perspectives for future development of effective therapeutic ROS-inducing anticancer agents or antioxidants for cancer treatment.

Indexed as

HumansNeoplasmsOxidative StressReactive Oxygen SpeciesReactive Oxygen SpeciesCancerChemotherapyMathematical modelingReactive oxygen species (ROS)RedoxROS detection

Identifiers

PMID30382874
PMCPMC6211502
OpenAlexW2898994124

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.