Evidence map›Paper›PMID 30040168›Full record

ArticleCancer science2018

Dose-finding study of the checkpoint kinase 1 inhibitor, prexasertib, in Japanese patients with advanced solid tumors.

Satoru Iwasa, Noboru Yamamoto, Kohei Shitara, Kenji Tamura, Nobuaki Matsubara, Masaomi Tajimi, Aimee B Lin, Hiroya Asou, Zhihong Cai, Koichi Inoue and 4 more

Abstract readClinical Trial, Phase I
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Therapeutic Targeting of DNA Damage Response in Cancer.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Exploiting replicative stress in gynecological cancers as a therapeutic strategy.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2020
    Review
  10. Article
  11. 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

14 authors.

Satoru IwasaNational Cancer Center Hospital, Tokyo, Japan.
Noboru YamamotoNational Cancer Center Hospital, Tokyo, Japan.
Kohei ShitaraNational Cancer Center Hospital East, Chiba, Japan.
Kenji TamuraNational Cancer Center Hospital, Tokyo, Japan.ORCID http://orcid.org/0000-0002-3514-9927
Nobuaki MatsubaraNational Cancer Center Hospital East, Chiba, Japan.
Masaomi TajimiEli Lilly Japan K.K., Kobe, Japan.
Aimee B LinEli Lilly and Company, Indianapolis, Indiana.
Hiroya AsouEli Lilly Japan K.K., Kobe, Japan.
Zhihong CaiEli Lilly Japan K.K., Kobe, Japan.
Koichi InoueEli Lilly Japan K.K., Kobe, Japan.
Yuko ShibasakiEli Lilly Japan K.K., Kobe, Japan.
Kanako SaitoEli Lilly Japan K.K., Kobe, Japan.
Hiroki TakaiEli Lilly Japan K.K., Kobe, Japan.
Toshihiko DoiNational Cancer Center Hospital East, Chiba, Japan.ORCID http://orcid.org/0000-0003-2042-6829

Funding

Eli Lilly and Company
6 · The paper itself

Abstract

Prexasertib is a novel inhibitor of checkpoint kinase 1. The primary objective of this study was to evaluate prexasertib tolerability in Japanese patients with advanced solid tumors. This nonrandomized single-arm open-label phase 1 study of prexasertib consisted of 2 dose levels, 80 mg/m

Indexed as

AdultAgedAnemiaAntineoplastic AgentsCheckpoint Kinase 1Dose-Response Relationship, DrugDrug Administration ScheduleFemaleFilgrastimHumansJapanLeukopeniaMaleMaximum Tolerated DoseMiddle AgedNeoplasmsAntineoplastic AgentsCheckpoint Kinase 1CHEK1 protein, humanFilgrastimprexasertibPyrazinesPyrazolesCheckpoint kinase 1Japanphase I clinical trialprexasertibsolid tumors

Identifiers

PMID30040168
PMCPMC6247064

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.