Evidence map›Paper›PMID 29197031›Full record

ArticleIn vitro cellular & developmental biology. Animal2018

Preclinical evaluation of the Aurora kinase inhibitors AMG 900, AZD1152-HQPA, and MK-5108 on SW-872 and 93T449 human liposarcoma cells.

Sandhya Noronha, Lauren A C Alt, Taylor E Scimeca, Omran Zarou, Justyna Obrzut, Brian Zanotti, Elizabeth A Hayward, Akhil Pillai, Shubha Mathur, Joseph Rojas and 3 more

Abstract read
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In one paragraph

Article in In vitro cellular & developmental biology. Animal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

13 authors at 1 institution in 1 country.

Sandhya NoronhaPhysician Assistant Program, College of Health Sciences, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Lauren A C AltDepartment of Biomedical Sciences, College of Health Sciences, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Taylor E ScimecaDepartment of Biomedical Sciences, College of Health Sciences, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Omran ZarouDepartment of Biomedical Sciences, College of Health Sciences, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Justyna ObrzutDepartment of Biomedical Sciences, College of Health Sciences, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Brian ZanottiDepartment of Microbiology and Immunology, Chicago College of Osteopathic Medicine, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Elizabeth A HaywardDepartment of Biomedical Sciences, College of Health Sciences, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Akhil PillaiDepartment of Pharmacology, Chicago College of Osteopathic Medicine, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Shubha MathurDepartment of Pharmacology, Chicago College of Osteopathic Medicine, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Joseph RojasDepartment of Biomedical Sciences, College of Health Sciences, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Ribhi SalamahDepartment of Biomedical Sciences, College of Health Sciences, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Nalini ChandarDepartment of Biochemistry, Chicago College of Osteopathic Medicine, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA.
Michael J FayDepartment of Biomedical Sciences, College of Health Sciences, Midwestern University, 555 31st Street, Downers Grove, IL, 60515, USA. mfayxx@midwestern.edu.
Midwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liposarcoma is a malignant soft tissue tumor that originates from adipose tissue and is one of the most frequently diagnosed soft tissue sarcomas in humans. There is great interest in identifying novel chemotherapeutic options for treating liposarcoma based upon molecular alterations in the cancer cells. The Aurora kinases have been identified as promising chemotherapeutic targets based on their altered expression in many human cancers and cellular roles in mitosis and cytokinesis. In this study, we investigated the effects of an Aurora kinase A inhibitor (MK-5108), an Aurora kinase B inhibitor (AZD1152-HQPA), and a pan-Aurora kinase inhibitor (AMG 900) on undifferentiated SW-872 and well-differentiated 93T449 human liposarcoma cells. Treatment of the SW-872 and 93T449 cells with MK-5108 (0-1000 nM), AZD1152-HQPA (0-1000 nM), and AMG 900 (0-1000 nM) for 72 h resulted in a dose-dependent decrease in the total viable cell number. Based upon the EC

Indexed as

AdipocytesAntineoplastic AgentsAurora Kinase AAurora Kinase BAurora KinasesCell DifferentiationCell Line, TumorCyclohexanecarboxylic AcidsDrug Screening Assays, AntitumorGene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticHumansLiposarcomaMesenchymal Stem CellsPhthalazinesPolyploidy4-(3-chloro-2-fluorophenoxy)-1-((6-(1,3-thiazol-2-ylamino)pyridin to 2-yl)methyl) cyclohexanecarboxylic acidAntineoplastic AgentsAURKA protein, humanAURKB protein, humanAurora Kinase AAurora Kinase BAurora KinasesCyclohexanecarboxylic AcidsN-(4-((3-(2-amino-4-pyrimidinyl)-2-pyridinyl)oxy)phenyl)-4-(4-methyl-2-thienyl)-1-phthalazinaminePhthalazinesProtein Kinase InhibitorsThiazoles93T449 cell lineAMG 900Aurora kinase inhibitorsAZD1152-HQPALiposarcomaMK-5108SW-872 cell line

Identifiers

PMID29197031
OpenAlexW2771668776

What OpenQuestion holds

Textmetadata
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.