Evidence map›Paper›PMID 31599373›Full record

ArticleCell biology and toxicology2020

Novel functional proteins coded by the human genome discovered in metastases of melanoma patients.

Aniel Sanchez, Magdalena Kuras, Jimmy Rodriguez Murillo, Indira Pla, Krzysztof Pawlowski, A Marcell Szasz, Jeovanis Gil, Fábio C S Nogueira, Yasset Perez-Riverol, Jonatan Eriksson and 18 more

Open access · hybridAbstract read
In one paragraph

Article in Cell biology and toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

28 authors at 9 institutions in 7 countries.

Aniel SanchezSection for Clinical Chemistry, Department of Translational Medicine, Skåne University Hospital Malmö, Lund University, 205 02, Malmö, Sweden. aniel.sanchez@med.lu.se.ORCID http://orcid.org/0000-0002-0278-8802
Magdalena KurasClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Jimmy Rodriguez MurilloClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Indira PlaSection for Clinical Chemistry, Department of Translational Medicine, Skåne University Hospital Malmö, Lund University, 205 02, Malmö, Sweden.
Krzysztof PawlowskiSection for Clinical Chemistry, Department of Translational Medicine, Skåne University Hospital Malmö, Lund University, 205 02, Malmö, Sweden.
A Marcell SzaszCancer Center, Semmelweis University, Budapest, 1083, Hungary.
Jeovanis GilClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Fábio C S NogueiraProteomics Unit, Department of Biochemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Yasset Perez-RiverolEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, CB10 1SD Hinxton, Cambridge, UK.
Jonatan ErikssonClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Roger AppelqvistClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Tasso MiliotisAstraZeneca R&D, Mölndal, Sweden.
Yonghyo KimClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Bo BaldetorpDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden.
Christian IngvarDepartment of Surgery, Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden.
Håkan OlssonDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden.
Lotta LundgrenDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden.
Henrik EkedahlDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden.
Peter HorvatovichDepartment of Analytical Biochemistry, Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands.
Yutaka SugiharaDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden.
Charlotte WelinderDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden.
Elisabet WieslanderDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, Lund, Sweden.
Ho Jeong KwonDepartment of Biotechnology, Yonsei University, Seoul, South Korea.
Gilberto B DomontProteomics Unit, Department of Biochemistry, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
Johan MalmSection for Clinical Chemistry, Department of Translational Medicine, Skåne University Hospital Malmö, Lund University, 205 02, Malmö, Sweden.
Melinda RezeliClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Lazaro Hiram BetancourtClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden. lazaro.betancourt@med.lu.se.
György Marko-VargaClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Lund University · SEUniversidade Federal do Rio de Janeiro · BRAstraZeneca (Sweden) · SEEuropean Bioinformatics Institute · GBMalmö University · SESemmelweis University · HUUniversity of Groningen · NLWarsaw University of Life Sciences · PLYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the advanced stages, malignant melanoma (MM) has a very poor prognosis. Due to tremendous efforts in cancer research over the last 10 years, and the introduction of novel therapies such as targeted therapies and immunomodulators, the rather dark horizon of the median survival has dramatically changed from under 1 year to several years. With the advent of proteomics, deep-mining studies can reach low-abundant expression levels. The complexity of the proteome, however, still surpasses the dynamic range capabilities of current analytical techniques. Consequently, many predicted protein products with potential biological functions have not yet been verified in experimental proteomic data. This category of 'missing proteins' (MP) is comprised of all proteins that have been predicted but are currently unverified. As part of the initiative launched in 2016 in the USA, the European Cancer Moonshot Center has performed numerous deep proteomics analyses on samples from MM patients. In this study, nine MPs were clearly identified by mass spectrometry in MM metastases. Some MPs significantly correlated with proteins that possess identical PFAM structural domains; and other MPs were significantly associated with cancer-related proteins. This is the first study to our knowledge, where unknown and novel proteins have been annotated in metastatic melanoma tumour tissue.

Indexed as

AdultBiomarkers, TumorCutaneous Malignant MelanomaFemaleGenome, HumanHumansMaleMelanomaMiddle AgedMolecular Sequence AnnotationNeoplasm MetastasisPrognosisProteomeProteomicsSkin NeoplasmsBiomarkers, TumorProteomeBiobankMass spectrometryMelanomaMissing proteinsProteomicsTissue

Identifiers

PMID31599373
PMCPMC7320927
OpenAlexW2979798960

What OpenQuestion holds

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LicenceCC BY
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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.