Evidence map›Paper›PMID 38397192›Full record

ArticleGenes2024

Cross-Species Comparison of the Pan-RAF Inhibitor LY3009120's Anti-Tumor Effects in Equine, Canine, and Human Malignant Melanoma Cell Lines.

Yu Gao, Eva-Maria Packeiser, Sophia Wendt, Anett Sekora, Jessika-Maximiliane V Cavalleri, Barbara Pratscher, Moosheer Alammar, Maja Hühns, Bertram Brenig, Christian Junghanss and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 39% 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, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
  2. 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

12 authors at 4 institutions in 2 countries.

Yu GaoDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.ORCID 0000-0001-7722-2136
Eva-Maria PackeiserDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.ORCID 0000-0001-6694-3851
Sophia WendtDepartment of Medicine, Clinic III, Hematology, Oncology and Palliative Medicine, University Medical Center Rostock, 18057 Rostock, Germany.
Anett SekoraDepartment of Medicine, Clinic III, Hematology, Oncology and Palliative Medicine, University Medical Center Rostock, 18057 Rostock, Germany.
Jessika-Maximiliane V CavalleriClinical Unit of Equine Internal Medicine, Department for Companion Animals and Horses, University of Veterinary Medicine Vienna, 1210 Vienna, Austria.ORCID 0000-0002-8575-7402
Barbara PratscherClinical Unit of Equine Internal Medicine, Department for Companion Animals and Horses, University of Veterinary Medicine Vienna, 1210 Vienna, Austria.ORCID 0000-0001-5291-1365
Moosheer AlammarDepartment of Medicine, Clinic III, Hematology, Oncology and Palliative Medicine, University Medical Center Rostock, 18057 Rostock, Germany.
Maja HühnsInstitute of Pathology, University Medicine of Rostock, Strempelstrasse, 18055 Rostock, Germany.ORCID 0000-0003-3911-8754
Bertram BrenigInstitute of Veterinary Medicine, Division of Molecular Biology of Livestock and Molecular Diagnostics, Georg-August-University of Göttingen, 37077 Göttingen, Germany.ORCID 0000-0002-7635-9656
Christian JunghanssDepartment of Medicine, Clinic III, Hematology, Oncology and Palliative Medicine, University Medical Center Rostock, 18057 Rostock, Germany.
Ingo NolteDepartment of Small Animal Medicine and Surgery, University of Veterinary Medicine Hannover, Foundation, 30559 Hannover, Germany.
Hugo Murua EscobarDepartment of Medicine, Clinic III, Hematology, Oncology and Palliative Medicine, University Medical Center Rostock, 18057 Rostock, Germany.ORCID 0000-0001-7123-7986
University of Rostock · DEUniversity of Veterinary Medicine Hannover, Foundation · DEUniversity of Veterinary Medicine Vienna · ATUniversity of Göttingen · DE

Funding

The China Scholarship Council (CSC) No.202006170058
6 · The paper itself

Abstract

Malignant melanomas (MMs) are the abnormal proliferation of melanocytes and are one of the lethal skin cancers in humans, equines, and canines. Accordingly, MMs in companion animals can serve as naturally occurring animal models, completing conventional cancer models. The common constitutive activation of the MAPK and PI3K pathways in MMs has been described in all three species. Targeting the related pathways is considered a potential option in comparative oncologic approaches. Herein, we present a cross-species comparative analysis exposing a set of ten melanoma cell lines (one human, three equine, and six canine) derived from primary tumors or metastasis to a pan-RAF and RAF dimer inhibitor (LY3009120). Cellular response (proliferation, biomass, metabolism, early and late apoptosis/necrosis, and morphology) and the presence of pathogenic single-nucleotide variants (SNVs) within the mutational hotspot genes

Indexed as

Antineoplastic AgentsMelanomaPhenylurea CompoundsPyrimidinesSkin NeoplasmsAnimalsCell Line, TumorDogsHorsesHumansNecrosisPhosphatidylinositol 3-KinasesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)Antineoplastic AgentsLY3009120Phenylurea CompoundsPhosphatidylinositol 3-KinasesProtein Kinase InhibitorsProto-Oncogene Proteins B-rafProto-Oncogene Proteins p21(ras)Pyrimidinescanine malignant melanomacellular responseDNA sequencingequine malignant melanomagenetic evaluationLY3009120Pan-RAF inhibitor

Identifiers

PMID38397192
PMCPMC10887541
OpenAlexW4391540514

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.