Evidence map›Paper›PMID 34439133›Full record

ArticleCancers2021

Context-Specific Efficacy of Apalutamide Therapy in Preclinical Models of

Marco A De Velasco, Yurie Kura, Naomi Ando, Noriko Sako, Eri Banno, Kazutoshi Fujita, Masahiro Nozawa, Kazuhiro Yoshimura, Kazuko Sakai, Kazuhiro Yoshikawa and 2 more

Abstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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.

Marco A De VelascoDepartment of Urology Kindai, University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.ORCID 0000-0002-4011-6572
Yurie KuraDepartment of Urology Kindai, University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.
Naomi AndoDepartment of Urology Kindai, University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.
Noriko SakoDepartment of Urology Kindai, University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.
Eri BannoDepartment of Urology Kindai, University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.
Kazutoshi FujitaDepartment of Urology Kindai, University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.
Masahiro NozawaDepartment of Urology Kindai, University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.
Kazuhiro YoshimuraDepartment of Urology Kindai, University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.ORCID 0000-0002-6598-0391
Kazuko SakaiDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.
Kazuhiro YoshikawaResearch Creation Support Center, Aichi Medical University, Nagakute 480-1195, Japan.
Kazuto NishioDepartment of Genome Biology, Kindai University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.ORCID 0000-0002-8275-0846
Hirotsugu UemuraDepartment of Urology Kindai, University Faculty of Medicine, Osaka-Sayama 589-8511, Japan.ORCID 0000-0002-3665-9523

Funding

Janssen Pharmaceuticals naJapan Society for the Promotion of Science 26462433, 17K11165
6 · The paper itself

Abstract

Significant improvements with apalutamide, a nonsteroidal antiandrogen used to treat patients suffering from advanced prostate cancer (PCa), have prompted evaluation for additional indications and therapeutic development with other agents; however, persistent androgen receptor (AR) signaling remains problematic. We used autochthonous mouse models of

Indexed as

androgen receptorapalutamidecastration resistancepreclinical efficacyprostate cancerPTEN

Identifiers

PMID34439133
PMCPMC8391912

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.