Evidence map›Paper›PMID 32342655›Full record

ArticlePharmacology research & perspectives2020

Structurally unique PARP-1 inhibitors for the treatment of prostate cancer.

Ali Divan, Mukund P Sibi, Alexei Tulin

Open access · goldAbstract read
In one paragraph

Article in Pharmacology research & perspectives, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 2 institutions in 1 country.

Ali DivanSchool of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND, USA.
Mukund P SibiNorth Dakota State University, Fargo, ND, USA.
Alexei TulinSchool of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND, USA.ORCID 0000-0001-9618-4243
University of North Dakota · USNorth Dakota State University · US

Funding

PARP-1-dependent transcription in progression and maintenance of renal cell carcinomaR03CA212566 · NCI · UNIVERSITY OF NORTH DAKOTA · PI TULIN, ALEXEI V · 2017 to 2018
$161k
NCI NIH HHS R03 CA212566NIH HHS CA212566
6 · The paper itself

Abstract

The prognosis for metastatic castration-resistant prostate cancer is unfavorable, and although Poly(ADP)-ribose polymerase-1 (PARP-1) inhibitors have shown efficacy in the treatment of androgen-receptor dependent malignancies, the limited number of options present obstacles for patients that are not responsive to these treatments. Here we utilize an integrated screening strategy that combines cellular screening assays, informatics, in silico computational approaches, and dose-response testing for reducing a compound library of confirmed PARP-1 inhibitors. Six hundred and sixty-four validated PARP-1 inhibitors were reduced to 9 small molecules with favorable physicochemical/ADME properties, unique chemical fingerprints, high dissimilarity to existing drugs, few off-target effects, and dose-responsivity in the 1 µmol/L - 20 µmol/L range. The top 9 unique molecules identified by our integrated screening strategy will be selected for further preclinical development including cytotoxicity testing, effects on mitosis, structure-activity relationship, physicochemical/ADME studies, and in vivo testing.

Indexed as

Cell MovementCell SurvivalComputer SimulationHumansMalePC-3 CellsPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsProstatic NeoplasmsPARP1 protein, humanPoly (ADP-Ribose) Polymerase-1Poly(ADP-ribose) Polymerase InhibitorsPARP-1PARP-1 inhibitorspoly(ADP-ribose)prostate cancer cells

Identifiers

PMID32342655
PMCPMC7186898
OpenAlexW3018797797

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.