Evidence map›Paper›PMID 30900145›Full record

ArticleCell biology and toxicology2019

Clinical protein science in translational medicine targeting malignant melanoma.

Jeovanis Gil, Lazaro Hiram Betancourt, Indira Pla, Aniel Sanchez, Roger Appelqvist, Tasso Miliotis, Magdalena Kuras, Henriette Oskolas, Yonghyo Kim, Zsolt Horvath and 28 more

Open access · hybridAbstract read
In one paragraph

Article 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 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 43 citations in OpenAlex.

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  16. Research progress of omics technology in the field of tumor resistance: From singleZhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2021
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  18. Review
  19. The role of neutrophil extracellular traps in cancer metastasis.Clinical and translational medicine · 2020
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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

38 authors at 7 institutions in 7 countries.

Jeovanis GilClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden. jeovanis.gil_valdes@med.lu.se.ORCID 0000-0003-3601-3893
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.
Indira PlaClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Aniel SanchezClinical 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 MiliotisClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Magdalena KurasClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Henriette OskolasClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Yonghyo KimClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Zsolt HorvathClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Jonatan ErikssonClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Ethan BergeClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Elisabeth BurestedtClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Göran JönssonDivision of Oncology and Pathology, Department of Clinical Sciences Lund, Lund University, 221 85, 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, Lund University, SUS, 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.
Peter HorvatovichDepartment of Analytical Biochemistry, Faculty of Science and Engineering, University of Groningen, Groningen, The Netherlands.
Jimmy Rodriguez MurilloClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Yutaka SugiharaClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, 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.
Boram LeeClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Henrik LindbergClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Krzysztof PawłowskiClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Ho Jeong KwonClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Viktoria DomaSecond Department of Pathology, Semmelweis University, Budapest, Hungary.
Jozsef TimarSecond Department of Pathology, Semmelweis University, Budapest, Hungary.
Sarolta KarpatiDepartment of Dermatology, Semmelweis University, Budapest, Hungary.
A Marcell SzaszClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
István Balázs NémethDepartment of Dermatology and Allergology, University of Szeged, Szeged, H-6720, Hungary.
Toshihide NishimuraClinical Translational Medicine Informatics, St. Marianna University School of Medicine, Kawasaki, Kanagawa, Japan.
Garry CorthalsVan't Hoff Institute of Molecular Sciences, 1090 GS, Amsterdam, The Netherlands.
Melinda RezeliClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Beatrice KnudsenBiomedical Sciences and Pathology, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Johan MalmSection for Clinical Chemistry, Department of Translational Medicine, Lund University, Skåne University Hospital Malmö, 205 02, Malmö, Sweden.
György Marko-VargaClinical Protein Science & Imaging, Biomedical Centre, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden.
Lund University · SESemmelweis University · HUTokyo Medical University · JPCedars-Sinai Medical Center · USUniversity of Groningen · NLUniversity of Szeged · HUWarsaw University of Life Sciences · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melanoma of the skin is the sixth most common type of cancer in Europe and accounts for 3.4% of all diagnosed cancers. More alarming is the degree of recurrence that occurs with approximately 20% of patients lethally relapsing following treatment. Malignant melanoma is a highly aggressive skin cancer and metastases rapidly extend to the regional lymph nodes (stage 3) and to distal organs (stage 4). Targeted oncotherapy is one of the standard treatment for progressive stage 4 melanoma, and BRAF inhibitors (e.g. vemurafenib, dabrafenib) combined with MEK inhibitor (e.g. trametinib) can effectively counter BRAFV600E-mutated melanomas. Compared to conventional chemotherapy, targeted BRAFV600E inhibition achieves a significantly higher response rate. After a period of cancer control, however, most responsive patients develop resistance to the therapy and lethal progression. The many underlying factors potentially causing resistance to BRAF inhibitors have been extensively studied. Nevertheless, the remaining unsolved clinical questions necessitate alternative research approaches to address the molecular mechanisms underlying metastatic and treatment-resistant melanoma. In broader terms, proteomics can address clinical questions far beyond the reach of genomics, by measuring, i.e. the relative abundance of protein products, post-translational modifications (PTMs), protein localisation, turnover, protein interactions and protein function. More specifically, proteomic analysis of body fluids and tissues in a given medical and clinical setting can aid in the identification of cancer biomarkers and novel therapeutic targets. Achieving this goal requires the development of a robust and reproducible clinical proteomic platform that encompasses automated biobanking of patient samples, tissue sectioning and histological examination, efficient protein extraction, enzymatic digestion, mass spectrometry-based quantitative protein analysis by label-free or labelling technologies and/or enrichment of peptides with specific PTMs. By combining data from, e.g. phosphoproteomics and acetylomics, the protein expression profiles of different melanoma stages can provide a solid framework for understanding the biology and progression of the disease. When complemented by proteogenomics, customised protein sequence databases generated from patient-specific genomic and transcriptomic data aid in interpreting clinical proteomic biomarker data to provide a deeper and more comprehensive molecular characterisation of cellular functions underlying disease progression. In parallel to a streamlined, patient-centric, clinical proteomic pipeline, mass spectrometry-based imaging can aid in interrogating the spatial distribution of drugs and drug metabolites within tissues at single-cell resolution. These developments are an important advancement in studying drug action and efficacy in vivo and will aid in the development of more effective and safer strategies for the treatment of melanoma. A collaborative effort of gargantuan proportions between academia and healthcare professionals has led to the initiation, establishment and development of a cutting-edge cancer research centre with a specialisation in melanoma and lung cancer. The primary research focus of the European Cancer Moonshot Lund Center is to understand the impact that drugs have on cancer at an individualised and personalised level. Simultaneously, the centre increases awareness of the relentless battle against cancer and attracts global interest in the exceptional research performed at the centre.

Indexed as

Biological Specimen BanksBiomarkers, TumorCutaneous Malignant MelanomaDrug Resistance, NeoplasmHumansImidazolesMelanomaNeoplasm StagingOximesProtein Kinase InhibitorsProteomicsPyridonesPyrimidinonesSkin NeoplasmsTranslational Research, BiomedicalBiomarkers, TumordabrafenibImidazolesOximesProtein Kinase InhibitorsPyridonesPyrimidinonestrametinibCancer moonshotClinical proteomicsMalignant melanomaPost-translational modificationsTranslational medicine

Identifiers

PMID30900145
PMCPMC6757020
OpenAlexW2925257594

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.