Evidence map›Paper›PMID 25667918›Full record

ReviewFrontiers in oncology2014

Evaluating biomarkers in melanoma.

Panagiotis Karagiannis, Matthew Fittall, Sophia N Karagiannis

Abstract readReview
In one paragraph

Review in Frontiers in oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. RAGE Signaling in Melanoma Tumors.International journal of molecular sciences · 2020
    Review
  14. Article
  15. Article
  16. Article
  17. The miRNAs Role in Melanoma and in Its Resistance to Therapy.International journal of molecular sciences · 2020
    Review
  18. Article
  19. Article
  20. 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

3 authors.

Panagiotis KaragiannisSt. John's Institute of Dermatology, Division of Genetics and Molecular Medicine, King's College London , London , UK ; NIHR Biomedical Research Centre, Guy's and St. Thomas' Hospital, King's College London, Guy's Hospital , London , UK.
Matthew FittallSt. John's Institute of Dermatology, Division of Genetics and Molecular Medicine, King's College London , London , UK ; Clinical Oncology, Guy's and St. Thomas's NHS Foundation Trust , London , UK.
Sophia N KaragiannisSt. John's Institute of Dermatology, Division of Genetics and Molecular Medicine, King's College London , London , UK ; NIHR Biomedical Research Centre, Guy's and St. Thomas' Hospital, King's College London, Guy's Hospital , London , UK.

Funding

Medical Research Council MR/L023091/1
6 · The paper itself

Abstract

The incidence of cutaneous melanoma has more than doubled over the last decades making it one of the fastest rising cancers worldwide. Improved awareness and early detection of malignant moles now permit earlier diagnosis aiming to decrease the likelihood of recurrence. However, it is difficult to identify those patients initially diagnosed with localized melanoma who subsequently develop metastatic disease. For this group, prognosis remains poor and clinical outcomes are variable and challenging to predict. Considerable efforts have focused on the search for novel prognostic tools, with numerous markers evaluated in the circulation and in tumor lesions. The most reliable predictors of patient outcome are the clinical and histological features of the primary tumor such as Breslow thickness, ulceration status, and mitotic rate. Elevated serum levels of the enzyme lactate dehydrogenase, likely to indicate active metastatic disease, are also routinely used to monitor patients. The emergence of novel immune and checkpoint antibody treatments for melanoma and increasing appreciation of key roles of the immune system in promoting or halting cancer progression have focused attention to immunological biomarkers. Validation of the most promising of these may have clinical applications in assisting prognosis, assessing endpoints in therapy, and monitoring responses during treatment.

Indexed as

antibodiesbiomarkerscancerhumoral immunityimmune responseinflammationmelanomaprognosis

Identifiers

PMID25667918
PMCPMC4304353

What OpenQuestion holds

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Registered trials

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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.