Evidence map›Paper›PMID 35335338›Full record

ArticleMolecules (Basel, Switzerland)2022

Development of an LC-MS/MS Method for ARV-110, a PROTAC Molecule, and Applications to Pharmacokinetic Studies.

Thi-Thao-Linh Nguyen, Jin Woo Kim, Hae-In Choi, Han-Joo Maeng, Tae-Sung Koo

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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.

Thi-Thao-Linh NguyenCollege of Pharmacy, Gachon University, 191 Hambakmoe-ro, Yeonsu-gu, Incheon 21936, Korea.ORCID 0000-0001-9657-4399
Jin Woo KimGraduate School of New Drug Discovery and Development, Chungnam National University, Daejeon 34134, Korea.ORCID 0000-0002-9228-4471
Hae-In ChoiGraduate School of New Drug Discovery and Development, Chungnam National University, Daejeon 34134, Korea.
Han-Joo MaengCollege of Pharmacy, Gachon University, 191 Hambakmoe-ro, Yeonsu-gu, Incheon 21936, Korea.
Tae-Sung KooGraduate School of New Drug Discovery and Development, Chungnam National University, Daejeon 34134, Korea.ORCID 0000-0001-8046-6836

Funding

Chungnam National University 2020Ministry of Education NRF-2020R1A6A1A03043708National Research Foundation of Korea NRF-2021R1F1A1062551
6 · The paper itself

Abstract

ARV-110, a novel proteolysis-targeting chimera (PROTAC), has been reported to show satisfactory safety and tolerability for prostate cancer therapy in phase I clinical trials. However, there is a lack of bioanalytical assays for ARV-110 determination in biological samples. In this study, we developed and validated an LC-MS/MS method for the quantitation of ARV-110 in rat and mouse plasma and applied it to pharmacokinetic studies. ARV-110 and pomalidomide (internal standard) were extracted from the plasma samples using the protein precipitation method. Sample separation was performed using a C18 column and a mobile phase of 0.1% formic acid in distilled water-0.1% formic acid in acetonitrile (30:70,

Indexed as

Tandem Mass SpectrometryAnimalsChromatography, LiquidMaleMiceMicrosomes, LiverProteolysisRatsReproducibility of ResultsARV-110LC-MS/MSpharmacokineticsproteolysis-targeting chimerastabilityvalidation

Identifiers

PMID35335338
PMCPMC8954769

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.