Evidence map›Paper›PMID 28725458›Full record

ArticleNPJ systems biology and applications2015

Elucidation of the molecular mechanisms underlying adverse reactions associated with a kinase inhibitor using systems toxicology.

Takahiro Amemiya, Masashi Honma, Yoshiaki Kariya, Samik Ghosh, Hiroaki Kitano, Yoshihisa Kurachi, Ken-Ichi Fujita, Yasutsuna Sasaki, Yukio Homma, Darrel R Abernethy and 2 more

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-weighted citation impact, top 14% 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

9 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Quantitative systems toxicology.Current opinion in toxicology · 2017
    Article
  9. 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

12 authors at 6 institutions in 2 countries.

Takahiro AmemiyaDepartment of Pharmacy, The University of Tokyo Hospital, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Masashi HonmaDepartment of Pharmacy, The University of Tokyo Hospital, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Yoshiaki KariyaDepartment of Pharmacy, The University of Tokyo Hospital, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Samik GhoshThe Systems Biology Institute, Tokyo, Japan.
Hiroaki KitanoThe Systems Biology Institute, Tokyo, Japan.ORCID 0000-0002-3589-1953
Yoshihisa KurachiDepartment of Pharmacology, Graduate School of Medicine, Osaka University, Osaka, Japan.
Ken-Ichi FujitaInstitute of Molecular Oncology, Showa University, Tokyo, Japan.
Yasutsuna SasakiInstitute of Molecular Oncology, Showa University, Tokyo, Japan.
Yukio HommaDepartment of Urology, The University of Tokyo Hospital, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Darrel R AbernethyOffice of Clinical Pharmacology, Office of Translational Sciences, US Food and Drug Administration, Silver Spring, MD, USA.
Haruki KumeDepartment of Urology, The University of Tokyo Hospital, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
Hiroshi SuzukiDepartment of Pharmacy, The University of Tokyo Hospital, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
University of Tokyo Hospital · JPShowa University · JPOkinawa Institute of Science and Technology Graduate University · JPSystems Biology Institute · JPThe University of Osaka · JPUnited States Food and Drug Administration · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesTargeted kinase inhibitors are an important class of agents in anticancer therapeutics, but their limited tolerability hampers their clinical performance. Identification of the molecular mechanisms underlying the development of adverse reactions will be helpful in establishing a rational method for the management of clinically adverse reactions. Here, we selected sunitinib as a model and demonstrated that the molecular mechanisms underlying the adverse reactions associated with kinase inhibitors can efficiently be identified using a systems toxicological approach.

methodsFirst, toxicological target candidates were short-listed by comparing the human kinase occupancy profiles of sunitinib and sorafenib, and the molecular mechanisms underlying adverse reactions were predicted by sequential simulations using publicly available mathematical models. Next, to evaluate the probability of these predictions, a clinical observation study was conducted in six patients treated with sunitinib. Finally, mouse experiments were performed for detailed confirmation of the hypothesized molecular mechanisms and to evaluate the efficacy of a proposed countermeasure against adverse reactions to sunitinib.

results

conclusionsA systems toxicological approach successfully predicted the molecular mechanisms underlying clinically adverse reactions associated with sunitinib and was used to plan a rational method for the management of these adverse reactions.

Identifiers

PMID28725458
PMCPMC5516806
OpenAlexW2594460909

What OpenQuestion holds

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Registered trials

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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.