Evidence map›Paper›PMID 28060736›Full record

ArticleOncotarget2017

Investigating the utility of human melanoma cell lines as tumour models.

Krista Marie Vincent, Lynne-Marie Postovit

Open access · diamondAbstract readComparative Study
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

44 citing papers in PubMed, 71 citations in OpenAlex.

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  9. Impact of Rab27 on Melanoma Cell Invasion and sEV Secretion.International journal of molecular sciences · 2024
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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

2 authors at 2 institutions in 1 country.

Krista Marie VincentDepartment of Oncology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
Lynne-Marie PostovitDepartment of Oncology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, T6G 2E1, Canada.
University of Alberta · CAWestern University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma researchers utilize cell lines to model many tumour phenomena. It is thus important to understand similarities and differences between cell lines and the tumours that they represent, so that the optimal models can be chosen to answer specific research questions. Herein, we compared the transcriptomes of 42 melanoma cell lines to hundreds of tumours from The Cancer Genome Atlas and thousands of single melanoma cells. Tumour purity was accounted for using the ESTIMATE algorithm, so that differences likely resulting from non-tumour cells could be accounted for. In addition, UV mutational signatures and the expression of skin-associated genes were analyzed in order to identify the putative origin of various cell lines. We found the transcriptional and mutational characteristics of melanoma cell lines to mirror those of the tumours, with the exception of immune-associated transcripts, which were absent in cell culture. We also determined cell lines that highly or poorly recapitulate melanomas and have identified colon (COLO 741) and lung (COLO 699) cancer cell lines that may actually be melanoma. In summary, this study represents a comprehensive comparison of melanoma cell lines and tumours that can be used as a guide for researchers when selecting melanoma cell line models.

Indexed as

MelanomaNeoplasms, ExperimentalSkin NeoplasmsAxl Receptor Tyrosine KinaseBiomarkers, TumorCell Line, TumorGene Expression Regulation, NeoplasticGenetic Predisposition to DiseaseHumansMicrophthalmia-Associated Transcription FactorMutationPhenotypeProto-Oncogene ProteinsReceptor Protein-Tyrosine KinasesSignal TransductionTime FactorsAXL protein, humanAxl Receptor Tyrosine KinaseBiomarkers, TumorMicrophthalmia-Associated Transcription FactorMITF protein, humanProto-Oncogene ProteinsReceptor Protein-Tyrosine Kinasescell linesmicroenvironmenttumour models

Identifiers

PMID28060736
PMCPMC5354675
OpenAlexW2566148122

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.