Evidence map›Paper›PMID 32517213›Full record

ReviewInternational journal of molecular sciences2020

Biological Factors behind Melanoma Response to Immune Checkpoint Inhibitors.

Magdalena Olbryt, Marcin Rajczykowski, Wiesława Widłak

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
1.8field-weighted citation impact, top 12% 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

34 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. CST7Translational cancer research · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Melanoma genomics - will we go beyond BRAF in clinics?Journal of cancer research and clinical oncology · 2024
    Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. CSDE1 Intracellular Distribution as a Biomarker of Melanoma Prognosis.International journal of molecular sciences · 2024
    Article
  18. Review
  19. Review
  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

3 authors at 1 institution in 1 country.

Magdalena OlbrytMaria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, Wybrzeze Armii Krajowej 15, 44-102 Gliwice, Poland.
Marcin RajczykowskiMaria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, Wybrzeze Armii Krajowej 15, 44-102 Gliwice, Poland.ORCID 0000-0002-3975-1309
Wiesława WidłakMaria Skłodowska-Curie National Research Institute of Oncology, Gliwice Branch, Wybrzeze Armii Krajowej 15, 44-102 Gliwice, Poland.ORCID 0000-0002-8440-9414
The Maria Sklodowska-Curie National Research Institute of Oncology · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern immunotherapy together with targeted therapy has revolutionized the treatment of advanced melanoma. Inhibition of immune checkpoints significantly improved the median overall survival and gave hope to many melanoma patients. However, this treatment has three serious drawbacks: high cost, serious side effects, and an effectiveness limited only to approximately 50% of patients. Some patients do not derive any or short-term benefit from this treatment due to primary or secondary resistance. The response to immunotherapy depends on many factors that fall into three main categories: those associated with melanoma cells, those linked to a tumor and its microenvironment, and those classified as individual ontogenic and physiological features of the patient. The first category comprises expression of PD-L1 and HLA proteins on melanoma cells as well as genetic/genomic metrics such as mutational load, (de)activation of specific signaling pathways and epigenetic factors. The second category is the inflammatory status of the tumor: "hot" versus "cold" (i.e., high versus low infiltration of immune cells). The third category comprises metabolome and single nucleotide polymorphisms of specific genes. Here we present up-to-date data on those biological factors influencing melanoma response to immunotherapy with a special focus on signaling pathways regulating the complex process of anti-tumor immune response. We also discuss their potential predictive capacity.

Indexed as

Biomarkers, TumorMolecular Targeted TherapyAnimalsAntigen PresentationAntineoplastic Agents, ImmunologicalB7-H1 AntigenDisease SusceptibilityDrug Resistance, NeoplasmHumansImmune Checkpoint InhibitorsImmunomodulationImmunotherapyMelanomaMutationPrognosisProgrammed Cell Death 1 ReceptorAntineoplastic Agents, ImmunologicalB7-H1 AntigenBiomarkers, TumorCD274 protein, humanImmune Checkpoint InhibitorsProgrammed Cell Death 1 Receptorbiomarkers of responseimmune checkpoint inhibitorsimmunotherapymelanoma

Identifiers

PMID32517213
PMCPMC7313051
OpenAlexW3032934407

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.