Evidence map›Paper›PMID 30357519›Full record

ReviewCell biology and toxicology2019

Challenging the heterogeneity of disease presentation in malignant melanoma-impact on patient treatment.

A Marcell Szasz, Johan Malm, Melinda Rezeli, Yutaka Sugihara, Lazaro H Betancourt, Daniel Rivas, Balázs Gyorffy, György Marko-Varga

Abstract readReview
In one paragraph

Review in Cell biology and toxicology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Proteogenomic Approaches for Diseasome Studies.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  5. Review
  6. Article
  7. Article
  8. Systemic Analysis of the Prognosis-Related RNA Alternative Splicing Signals in Melanoma.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

8 authors.

A Marcell SzaszCenter of Excellence in Biological and Medical Mass Spectrometry, Lund University, BMC D13, 221 84, Lund, Sweden.
Johan MalmCenter of Excellence in Biological and Medical Mass Spectrometry, Lund University, BMC D13, 221 84, Lund, Sweden.
Melinda RezeliClinical Protein Science and Imaging, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Yutaka SugiharaCenter of Excellence in Biological and Medical Mass Spectrometry, Lund University, BMC D13, 221 84, Lund, Sweden.
Lazaro H BetancourtCenter of Excellence in Biological and Medical Mass Spectrometry, Lund University, BMC D13, 221 84, Lund, Sweden.
Daniel RivasInstitute of Environmental Sciences and Water Research, IDAEA, Spanish Research Council (CSIC), Barcelona, Spain.
Balázs GyorffyMTA-TTK Momentum Oncology Biomarker Research Group, Hungarian Academy of Sciences, Budapest, 1117, Hungary.
György Marko-VargaCenter of Excellence in Biological and Medical Mass Spectrometry, Lund University, BMC D13, 221 84, Lund, Sweden. gyorgy.marko-varga@bme.lth.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an increasing global interest to support research areas that can assist in understanding disease and improving patient care. The National Cancer Institute (NIH) has identified precision medicine-based approaches as key research strategies to expedite advances in cancer research. The Cancer Moonshot program ( https://www.cancer.gov/research/key-initiatives/moonshot-cancer-initiative ) is the largest cancer program of all time, and has been launched to accelerate cancer research that aims to increase the availability of therapies to more patients and, ultimately, to eradicate cancer. Mass spectrometry-based proteomics has been extensively used to study the molecular mechanisms of cancer, to define molecular subtypes of tumors, to map cancer-associated protein interaction networks and post-translational modifications, and to aid in the development of new therapeutics and new diagnostic and prognostic tests. To establish the basis for our melanoma studies, we have established the Southern Sweden Malignant Melanoma Biobank. Tissues collected over many years have been accurately characterized with respect to the tumor and patient information. The extreme variability displayed in the protein profiles and the detection of missense mutations has confirmed the complexity and heterogeneity of the disease. It is envisaged that the combined analysis of clinical, histological, and proteomic data will provide patients with a more personalized medical treatment. With respect to disease presentation, targeted treatment and medical mass spectrometry analysis and imaging, this overview report will outline and summarize the current achievements and status within malignant melanoma. We present data generated by our cancer research center in Lund, Sweden, where we have built extensive capabilities in biobanking, proteogenomics, and patient treatments over an extensive time period.

Indexed as

Amino Acid SequenceBiomarkers, TumorClinical Decision-MakingHumansMelanomaMetabolomeNeoplasm ProteinsBiomarkers, TumorNeoplasm ProteinsMass spectrometry imagingMelanoma cancerMutationProteomicsTumor heterogeneity

Identifiers

PMID30357519
PMCPMC6514062

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.