uu.seUppsala universitets publikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Affinity Proteomics Exploration of Melanoma Identifies Proteins in Serum with Associations to T-Stage and Recurrence
KTH Royal Inst Technol, Affin Prote, SciLifeLab, S-17165 Solna, Sweden..
KTH Royal Inst Technol, Affin Prote, SciLifeLab, S-17165 Solna, Sweden..
Uppsala universitet, Medicinska och farmaceutiska vetenskapsområdet, Medicinska fakulteten, Institutionen för immunologi, genetik och patologi, Experimentell och klinisk onkologi. Uppsala universitet, Science for Life Laboratory, SciLifeLab. (Forskargrupp Tobias Sjöblom)
KTH Royal Inst Technol, Affin Prote, SciLifeLab, S-17165 Solna, Sweden..
Vise andre og tillknytning
2017 (engelsk)Inngår i: Translational Oncology, ISSN 1944-7124, E-ISSN 1936-5233, Vol. 10, nr 3, s. 385-395Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

BACKGROUND: Blood-based proteomic profiling may aid and expand our understanding of diseases and their different phenotypes. The aim of the presented study was to profile serum samples from patients with malignant melanoma using affinity proteomic assays to describe proteins in the blood stream that are associated to stage or recurrence of melanoma. MATERIAL AND METHODS: Multiplexed protein analysis was conducted using antibody suspension bead arrays. A total of 232 antibodies against 132 proteins were selected from (i) a screening with 4595 antibodies and 32 serum samples from melanoma patients and controls, (ii) antibodies used for immunohistochemistry, (iii) protein targets previously related with melanoma. The analysis was performed with 149 serum samples from patients with malignant melanoma. Antibody selectivity was then assessed by Western blot, immunocapture mass spectrometry, and epitope mapping. Lastly, indicative antibodies were applied for IHC analysis of melanoma tissues. RESULTS: Serum levels of regucalcin (RGN) and syntaxin 7 (STX7) were found to be lower in patients with both recurring tumors and a high Breslow's thickness (T-stage 3/4) compared to low thickness (T-stage 1/2) without disease recurrence. Serum levels of methylenetetrahydrofolate dehydrogenase 1-like (MTHFD1L) were instead elevated in sera of T3/4 patients with recurrence. The analysis of tissue sections with S100A6 and MTHFD1L showed positive staining in a majority of patients with melanoma, and S100A6 was significantly associated to T-stage. CONCLUSIONS: Our findings provide a starting point to further study RGN, STX7, MTHFD1L and S100A6 in serum to elucidate their involvement in melanoma progression and to assess a possible contribution to support clinical indications.

sted, utgiver, år, opplag, sider
2017. Vol. 10, nr 3, s. 385-395
HSV kategori
Identifikatorer
URN: urn:nbn:se:uu:diva-333614DOI: 10.1016/j.tranon.2017.03.002ISI: 000407707600012PubMedID: 28433799OAI: oai:DiVA.org:uu-333614DiVA, id: diva2:1157761
Forskningsfinansiär
Knut and Alice Wallenberg FoundationScience for Life Laboratory - a national resource center for high-throughput molecular bioscienceTilgjengelig fra: 2017-11-16 Laget: 2017-11-16 Sist oppdatert: 2017-11-16bibliografisk kontrollert

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstPubMed

Personposter BETA

Edqvist, Per-Henrik DBergqvist, MichaelPonten, Fredrik

Søk i DiVA

Av forfatter/redaktør
Edqvist, Per-Henrik DBergqvist, MichaelPonten, Fredrik
Av organisasjonen
I samme tidsskrift
Translational Oncology

Søk utenfor DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 284 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf