Evidence map›Paper›PMID 27936622›Full record

ArticleChemical research in toxicology2017

DNA Adducts from Anticancer Drugs as Candidate Predictive Markers for Precision Medicine.

Alessia Stornetta, Maike Zimmermann, George D Cimino, Paul T Henderson, Shana J Sturla

Open access · greenAbstract read
In one paragraph

Article in Chemical research in toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

31 citing papers in PubMed, 61 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Mass Spectral Library for DNA Adductomics.Chemical research in toxicology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Analysis of NBMC chemistry · 2022
    Article
  16. Pyrazolo[4,3-Molecules (Basel, Switzerland) · 2022
    Article
  17. Article
  18. Review
  19. Review
  20. DNA Adductomics by mass tag prelabeling.Rapid communications in mass spectrometry : RCM · 2021
    Article
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

5 authors at 2 institutions in 2 countries.

Alessia StornettaDepartment of Health Sciences and Technology, ETH Zurich , Schmelzbergstrasse 9, 8092 Zurich, Switzerland.ORCID 0000-0002-8287-9551
Maike ZimmermannDepartment of Internal Medicine, Division of Hematology and Oncology and the UC Davis Comprehensive Cancer Center, University of California Davis , 4501 X Street, Sacramento, California 95655, United States.
George D CiminoAccelerated Medical Diagnostics, Inc. , 2121 Second Street, B101, Davis, California 95618, United States.
Paul T HendersonDepartment of Internal Medicine, Division of Hematology and Oncology and the UC Davis Comprehensive Cancer Center, University of California Davis , 4501 X Street, Sacramento, California 95655, United States.
Shana J SturlaDepartment of Health Sciences and Technology, ETH Zurich , Schmelzbergstrasse 9, 8092 Zurich, Switzerland.
Accelerated Medical Diagnostics (United States) · USETH Zurich · CH

Funding

Staff InvestigatorsP30CA093373 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI Gina M Dayton · 2002 to 2026
$84.9M
VITAMIN C (ASCORBATE) METABOLISM IN DROSPHILA MELANOGASTERP41RR013461 · NCRR · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI HASKELL, MARJORIE J · 1999 to 2011
$20.8M
Resource for the Development of Biomedical Accelerator Mass Spectrometry (AMS)P41GM103483 · NIGMS · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI TURTELTAUB, KENNETH W. · 2012 to 2019
$12.0M
European Research Council 260341European Research Council 680920NCI NIH HHS P30 CA093373NCRR NIH HHS P41 RR013461NIGMS NIH HHS P41 GM103483
6 · The paper itself

Abstract

Biomarker-driven drug selection plays a central role in cancer drug discovery and development, and in diagnostic strategies to improve the use of traditional chemotherapeutic drugs. DNA-modifying anticancer drugs are still used as first line medication, but drawbacks such as resistance and side effects remain an issue. Monitoring the formation and level of DNA modifications induced by anticancer drugs is a potential strategy for stratifying patients and predicting drug efficacy. In this perspective, preclinical and clinical data concerning the relationship between drug-induced DNA adducts and biological response for platinum drugs and combination therapies, nitrogen mustards and half-mustards, hypoxia-activated drugs, reductase-activated drugs, and minor groove binding agents are presented and discussed. Aspects including measurement strategies, identification of adducts, and biological factors that influence the predictive relationship between DNA modification and biological response are addressed. A positive correlation between DNA adduct levels and response was observed for the majority of the studies, demonstrating the high potential of using DNA adducts from anticancer drugs as mechanism-based biomarkers of susceptibility, especially as bioanalysis approaches with higher sensitivity and throughput emerge.

Indexed as

AnimalsAntineoplastic AgentsBiomarkersDNA AdductsHumansHypoxiaNitrogen Mustard CompoundsOxidoreductasesPlatinum CompoundsPrecision MedicineProdrugsAntineoplastic AgentsBiomarkersDNA AdductsNitrogen Mustard CompoundsOxidoreductasesPlatinum CompoundsProdrugs

Identifiers

PMID27936622
PMCPMC5379252
OpenAlexW2566849612

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.