Evidence map›Paper›PMID 30079437›Full record

ArticleClinical and translational medicine2018

Endogenous expression mapping of malignant melanoma by mass spectrometry imaging.

Yutaka Sugihara, Daniel Rivas, Johan Malm, Marcell Szasz, HoJeong Kwon, Bo Baldetorp, Håkan Olsson, Christian Ingvar, Melinda Rezeli, Thomas E Fehniger and 1 more

Open access · goldAbstract read
In one paragraph

Article in Clinical and translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Imaging Mass Spectrometry for the Classification of Melanoma Based onInternational journal of molecular sciences · 2023
    Article
  4. Article
  5. Review
  6. Review
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

11 authors at 3 institutions in 3 countries.

Yutaka SugiharaClinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC C13, 221 84, Lund, Sweden.
Daniel RivasClinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC C13, 221 84, Lund, Sweden.
Johan MalmClinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC D13, 221 84, Lund, Sweden. johan.malm@med.lu.se.
Marcell SzaszClinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC C13, 221 84, Lund, Sweden.
HoJeong KwonClinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC C13, 221 84, Lund, Sweden.
Bo BaldetorpDepartment of Oncology, Clinical Sciences, Lund University, Skåne University Hospital, 221 85, Lund, Sweden.
Håkan OlssonDepartment of Oncology, Clinical Sciences, Lund University, Skåne University Hospital, 221 85, Lund, Sweden.
Christian IngvarDepartment of Surgery, Clinical Sciences, Lund University, SUS, 221 85, Lund, Sweden.
Melinda RezeliClinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC C13, 221 84, Lund, Sweden.
Thomas E FehnigerClinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC C13, 221 84, Lund, Sweden.
György Marko-VargaClinical Protein Science & Imaging, Biomedical Center, Department of Biomedical Engineering, Lund University, BMC C13, 221 84, Lund, Sweden.
Lund University · SESkåne University Hospital · SEYonsei University · KR

Funding

Fru Berta Kamprads Stiftelse Melanoma Cancer MoonshotNational Research Foundation of Korea 2016K2A9A1A03904900
6 · The paper itself

Abstract

backgroundCurrently, only a limited number of molecular biomarkers for malignant melanoma exist. This is the case for both diagnosing the disease, staging, and efficiently measuring the response to therapy by tracing the progression of disease development and drug impact. There is a great need to identify novel landmarks of disease progression and alterations.

methodsMatrix-assisted laser desorption ionisation mass spectrometry imaging (MALDI-MSI) has been developed within our group to study drug localisation within micro-environmental tissue compartments. Here, we expand further on this technology development and introduce for the first time melanoma tumour tissues to map metabolite localisation utilising high resolution mass spectrometry. MALDI-MSI can measure and localise the distribution pattern of a number of small molecule metabolites within tissue compartments of tumours isolated from melanoma patients. Data on direct measurements of metabolite identities attained at the local sites in tissue compartments has not been readily available as a measure of a clinical index for most cancer diseases. The current development on the mapping of endogenous molecular expression melanoma tumours by mass spectrometry imaging focuses on the establishment of a cancer tissue preparation process whereby a matrix crystal formation is homogenously built on the tissue surface, providing uniform molecular mapping. We apply this micro-preparation technology to disease presentation by mapping the molecular signatures from patient tumour sections.

resultsWe have automated the process with a micro-technological dispensing platform. This provides the basis for thin film generation of the cancer patient tissues prior to imaging screening. Compartmentalisation of the tumour regions are displayed within the image analysis interfaced with histopathological grading and characterisation.

conclusionsThis enables site localisation within the tumour with image mapping to disease target areas such as melanoma cells, macrophages, and lymphocytes.

Indexed as

CancerMALDI-MS imagingMalignant melanoma

Identifiers

PMID30079437
PMCPMC6077138
OpenAlexW2829456801

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.