ArticleJournal of proteomics & bioinformatics2016
Proteomic Findings in Melanoma.
Article in Journal of proteomics & bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed.
- Inhibition of bone morphogenetic proteins signaling suppresses metastasis melanoma: a proteomics approach.American journal of translational research · 2021Article
- The tumor genetics of acral melanoma: What should a dermatologist know?JAAD international · 2020Article
- Proteogenomic analysis of melanoma brain metastases from distinct anatomical sites identifies pathways of metastatic progression.Acta neuropathologica communications · 2020Article
- Clinical Implications of Primary Cilia in Skin Cancer.Dermatology and therapy · 2020Review
- Improving clinical diagnosis of early-stage cutaneous melanoma based on Raman spectroscopy.British journal of cancer · 2018Article
- Mass spectrometry-assisted gel-based proteomics in cancer biomarker discovery: approaches and application.Theranostics · 2017Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Although the emergence of proteomics as an independent branch of science is fairly recent, within a short period of time it has contributed substantially in various disciplines. The tool of mass spectrometry has become indispensable in the analysis of complex biological samples. Clinical applications of proteomics include detection of predictive and diagnostic markers, understanding mechanism of action of drugs as well as resistance mechanisms against them and assessment of therapeutic efficacy and toxicity of drugs in patients. Here, we have summarized the major contributions of proteomics towards the study of melanoma, which is a deadly variety of skin cancer with a high mortality rate.
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Registered trials
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.