Evidence map›Paper›PMID 29411301›Full record

ReviewMolecular diagnosis & therapy2018

Emerging Biomarkers in Cutaneous Melanoma.

Anna Eisenstein, Estela Chen Gonzalez, Rekha Raghunathan, Xixi Xu, Muzhou Wu, Emily O McLean, Jean McGee, Byungwoo Ryu, Rhoda M Alani

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

26 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. CSDE1 Intracellular Distribution as a Biomarker of Melanoma Prognosis.International journal of molecular sciences · 2024
    Article
  10. Article
  11. Article
  12. The role of Exosomal miRNAs in cancer.Journal of translational medicine · 2022
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

9 authors at 1 institution in 1 country.

Anna EisensteinDepartment of Dermatology, Boston University School of Medicine, 609 Albany Street, Boston, MA, 02118, USA.
Estela Chen GonzalezDepartment of Dermatology, Boston University School of Medicine, 609 Albany Street, Boston, MA, 02118, USA.
Rekha RaghunathanDepartment of Dermatology, Boston University School of Medicine, 609 Albany Street, Boston, MA, 02118, USA.
Xixi XuDepartment of Dermatology, Boston University School of Medicine, 609 Albany Street, Boston, MA, 02118, USA.
Muzhou WuDepartment of Dermatology, Boston University School of Medicine, 609 Albany Street, Boston, MA, 02118, USA.
Emily O McLeanDepartment of Dermatology, Boston University School of Medicine, 609 Albany Street, Boston, MA, 02118, USA.
Jean McGeeDepartment of Dermatology, Boston University School of Medicine, 609 Albany Street, Boston, MA, 02118, USA.
Byungwoo RyuDepartment of Dermatology, Boston University School of Medicine, 609 Albany Street, Boston, MA, 02118, USA. ryub@bu.edu.ORCID 0000-0001-6334-6787
Rhoda M AlaniDepartment of Dermatology, Boston University School of Medicine, 609 Albany Street, Boston, MA, 02118, USA. alani@bu.edu.
Boston University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Earlier identification of aggressive melanoma remains a goal in the field of melanoma research. With new targeted and immune therapies that have revolutionized the care of patients with melanoma, the ability to predict progression and monitor or predict response to therapy has become the new focus of research into biomarkers in melanoma. In this review, promising biomarkers are highlighted. These biomarkers have been used to diagnose melanoma as well as predict progression to advanced disease and response to therapy. The biomarkers take various forms, including protein expression at the level of tissue, genetic mutations of cancer cells, and detection of circulating DNA. First, a brief description is provided about the conventional tissue markers used to stage melanoma, including tumor depth. Next, protein biomarkers, which provide both diagnostic and prognostic information, are described. This is followed by a discussion of important genetic mutations, microRNA, and epigenetic modifications that can provide therapeutic and prognostic material. Finally, emerging serologic biomarkers are reviewed, including circulating melanoma cells and exosomes. Overall the goal is to identify biomarkers that aid in the earlier identification and improved treatment of aggressive melanoma.

Indexed as

Biomarkers, TumorCutaneous Malignant MelanomaHumansMelanomaMolecular Targeted TherapyPrognosisSkin NeoplasmsTreatment OutcomeBiomarkers, Tumor

Identifiers

PMID29411301
OpenAlexW2793381003

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.