Evidence map›Paper›PMID 33203119›Full record

ReviewCancers2020

The Non-Coding Landscape of Cutaneous Malignant Melanoma: A Possible Route to Efficient Targeted Therapy.

Andreea D Lazăr, Sorina Dinescu, Marieta Costache

Abstract readReview
In one paragraph

Review in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Genotype Triad forDiagnostics (Basel, Switzerland) · 2022
    Article
  9. Review
  10. Review
  11. Unraveling the Wide Spectrum of Melanoma Biomarkers.Diagnostics (Basel, Switzerland) · 2021
    Review
  12. Recent Advancement in Atypical Lipomatous Tumor Research.International journal of molecular sciences · 2021
    Review
  13. 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

3 authors.

Andreea D LazărDepartment of Biochemistry and Molecular Biology, University of Bucharest, 050095 Bucharest, Romania.ORCID 0000-0001-7185-9945
Sorina DinescuDepartment of Biochemistry and Molecular Biology, University of Bucharest, 050095 Bucharest, Romania.ORCID 0000-0001-7196-1712
Marieta CostacheDepartment of Biochemistry and Molecular Biology, University of Bucharest, 050095 Bucharest, Romania.ORCID 0000-0002-8103-3693

Funding

Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii PN-III-P1-1.2-PCCDI-2017-0341/PATHDERM
6 · The paper itself

Abstract

Considered to be highly lethal if not diagnosed in early stages, cutaneous malignant melanoma is among the most aggressive and treatment-resistant human cancers, and its incidence continues to rise, largely due to ultraviolet radiation exposure, which is the main carcinogenic factor. Over the years, researchers have started to unveil the molecular mechanisms by which malignant melanoma can be triggered and sustained, in order to establish specific, reliable biomarkers that could aid the prognosis and diagnosis of this fatal disease, and serve as targets for development of novel efficient therapies. The high mutational burden and heterogeneous nature of melanoma shifted the main focus from the genetic landscape to epigenetic and epitranscriptomic modifications, aiming at elucidating the role of non-coding RNA molecules in the fine tuning of melanoma progression. Here we review the contribution of microRNAs and lncRNAs to melanoma invasion, metastasis and acquired drug resistance, highlighting their potential for clinical applications as biomarkers and therapeutic targets.

Indexed as

biomarkerscutaneous melanomadrug resistanceimmunotherapyinvasionlncRNAmetastasismiRNAtargeted therapy

Identifiers

PMID33203119
PMCPMC7696690

What OpenQuestion holds

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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.