Evidence map›Paper›PMID 35326726›Full record

ArticleCancers2022

Identification of New Vulnerabilities in Conjunctival Melanoma Using Image-Based High Content Drug Screening.

Katya Nardou, Michael Nicolas, Fabien Kuttler, Katarina Cisarova, Elifnaz Celik, Mathieu Quinodoz, Nicolo Riggi, Olivier Michielin, Carlo Rivolta, Gerardo Turcatti and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.2field-weighted citation impact, top 55% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 6 institutions in 2 countries.

Katya NardouJules-Gonin Eye Hospital, University of Lausanne, 1004 Lausanne, Switzerland.
Michael NicolasJules-Gonin Eye Hospital, University of Lausanne, 1004 Lausanne, Switzerland.
Fabien KuttlerBiomolecular Screening Facility, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.ORCID 0000-0003-2575-1989
Katarina CisarovaMedical Genetics Unit, Centre Hospitalier Universitaire Vaudois (CHUV), 1011 Lausanne, Switzerland.ORCID 0000-0003-2711-0480
Elifnaz CelikInstitute of Molecular and Clinical Ophthalmology Basel, 4031 Basel, Switzerland.
Mathieu QuinodozInstitute of Molecular and Clinical Ophthalmology Basel, 4031 Basel, Switzerland.ORCID 0000-0002-9841-4433
Nicolo RiggiExperimental Pathology, Institute of Pathology, Lausanne University, 1011 Lausanne, Switzerland.
Olivier MichielinOncology Department, Centre Hospitalier Universitaire Vaudois (CHUV), 1011 Lausanne, Switzerland.
Carlo RivoltaInstitute of Molecular and Clinical Ophthalmology Basel, 4031 Basel, Switzerland.ORCID 0000-0002-0733-9950
Gerardo TurcattiBiomolecular Screening Facility, Ecole Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland.
Alexandre Pierre MoulinJules-Gonin Eye Hospital, University of Lausanne, 1004 Lausanne, Switzerland.
Hôpital Ophtalmique Jules-Gonin · CHÉcole Polytechnique Fédérale de Lausanne · CHUniversity Hospital of Lausanne · CHUniversity of Leicester · GBUniversity of Basel · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent evidence suggests that numerous similarities exist between the genomic landscapes of both conjunctival and cutaneous melanoma. Since alterations of several components of the MAP kinases, PI3K/mTOR, and cell cycle pathways have been reported in conjunctival melanoma, we decided to assess the sensitivity of conjunctival melanoma to targeted inhibition mostly of kinase inhibitors. A high content drug screening assay based on automated fluorescence microscopy was performed in three conjunctival melanoma cell lines with different genomic backgrounds with 489 kinase inhibitors and 53 other inhibitors. IC50 and apoptosis induction were respectively assessed for 53 and 48 compounds. The genomic background influenced the response to MAK and PI3K/mTOR inhibition, more specifically cell lines with

Indexed as

aurora-kinaseconjunctival melanomacyclin dependent kinasedrug screeningHsp90kinase inhibitorsMAPK pathwayPI3K/mTOR pathwaypolo-like kinaseTirbanibulin

Identifiers

PMID35326726
PMCPMC8946509
OpenAlexW4220783475

What Socratic 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 Socratic graph.