Improved survival prognostication of node-positive malignant melanoma patients utilizing shotgun proteomics guided by histopathological characterization and genomic data

Lazaro Hiram Betancourt, Krzysztof Pawłowski, Jonatan Eriksson, A. Szász, Shamik Mitra, Indira Pla, Charlotte Welinder, Henrik Ekedahl, Per Broberg, Roger Appelqvist, Maria Yakovleva, Yutaka Sugihara, Kenichi Miharada, Christian Ingvar, Lotta Lundgren, Bo Baldetorp, Håkan Olsson, Melinda Rezeli, Elisabet Wieslander, Peter Horvatovich & 3 others Johan Malm, Göran Jönsson, György Marko-Varga

Research output: Article

1 Citation (Scopus)

Abstract

Metastatic melanoma is one of the most common deadly cancers, and robust biomarkers are still needed, e.g. to predict survival and treatment efficiency. Here, protein expression analysis of one hundred eleven melanoma lymph node metastases using high resolution mass spectrometry is coupled with in-depth histopathology analysis, clinical data and genomics profiles. This broad view of protein expression allowed to identify novel candidate protein markers that improved prediction of survival in melanoma patients. Some of the prognostic proteins have not been reported in the context of melanoma before, and few of them exhibit unexpected relationship to survival, which likely reflects the limitations of current knowledge on melanoma and shows the potential of proteomics in clinical cancer research.

Original languageEnglish
Article number5154
JournalScientific reports
Volume9
Issue number1
DOIs
Publication statusPublished - dec. 1 2019

Fingerprint

Firearms
Proteomics
Melanoma
Survival
Proteins
Tumor Biomarkers
Genomics
Mass Spectrometry
Lymph Nodes
Neoplasm Metastasis
Research
Neoplasms

ASJC Scopus subject areas

  • General

Cite this

Improved survival prognostication of node-positive malignant melanoma patients utilizing shotgun proteomics guided by histopathological characterization and genomic data. / Betancourt, Lazaro Hiram; Pawłowski, Krzysztof; Eriksson, Jonatan; Szász, A.; Mitra, Shamik; Pla, Indira; Welinder, Charlotte; Ekedahl, Henrik; Broberg, Per; Appelqvist, Roger; Yakovleva, Maria; Sugihara, Yutaka; Miharada, Kenichi; Ingvar, Christian; Lundgren, Lotta; Baldetorp, Bo; Olsson, Håkan; Rezeli, Melinda; Wieslander, Elisabet; Horvatovich, Peter; Malm, Johan; Jönsson, Göran; Marko-Varga, György.

In: Scientific reports, Vol. 9, No. 1, 5154, 01.12.2019.

Research output: Article

Betancourt, LH, Pawłowski, K, Eriksson, J, Szász, A, Mitra, S, Pla, I, Welinder, C, Ekedahl, H, Broberg, P, Appelqvist, R, Yakovleva, M, Sugihara, Y, Miharada, K, Ingvar, C, Lundgren, L, Baldetorp, B, Olsson, H, Rezeli, M, Wieslander, E, Horvatovich, P, Malm, J, Jönsson, G & Marko-Varga, G 2019, 'Improved survival prognostication of node-positive malignant melanoma patients utilizing shotgun proteomics guided by histopathological characterization and genomic data', Scientific reports, vol. 9, no. 1, 5154. https://doi.org/10.1038/s41598-019-41625-z
Betancourt, Lazaro Hiram ; Pawłowski, Krzysztof ; Eriksson, Jonatan ; Szász, A. ; Mitra, Shamik ; Pla, Indira ; Welinder, Charlotte ; Ekedahl, Henrik ; Broberg, Per ; Appelqvist, Roger ; Yakovleva, Maria ; Sugihara, Yutaka ; Miharada, Kenichi ; Ingvar, Christian ; Lundgren, Lotta ; Baldetorp, Bo ; Olsson, Håkan ; Rezeli, Melinda ; Wieslander, Elisabet ; Horvatovich, Peter ; Malm, Johan ; Jönsson, Göran ; Marko-Varga, György. / Improved survival prognostication of node-positive malignant melanoma patients utilizing shotgun proteomics guided by histopathological characterization and genomic data. In: Scientific reports. 2019 ; Vol. 9, No. 1.
@article{74974d8b0a0f48bfb0bc50c9bd9c5974,
title = "Improved survival prognostication of node-positive malignant melanoma patients utilizing shotgun proteomics guided by histopathological characterization and genomic data",
abstract = "Metastatic melanoma is one of the most common deadly cancers, and robust biomarkers are still needed, e.g. to predict survival and treatment efficiency. Here, protein expression analysis of one hundred eleven melanoma lymph node metastases using high resolution mass spectrometry is coupled with in-depth histopathology analysis, clinical data and genomics profiles. This broad view of protein expression allowed to identify novel candidate protein markers that improved prediction of survival in melanoma patients. Some of the prognostic proteins have not been reported in the context of melanoma before, and few of them exhibit unexpected relationship to survival, which likely reflects the limitations of current knowledge on melanoma and shows the potential of proteomics in clinical cancer research.",
author = "Betancourt, {Lazaro Hiram} and Krzysztof Pawłowski and Jonatan Eriksson and A. Sz{\'a}sz and Shamik Mitra and Indira Pla and Charlotte Welinder and Henrik Ekedahl and Per Broberg and Roger Appelqvist and Maria Yakovleva and Yutaka Sugihara and Kenichi Miharada and Christian Ingvar and Lotta Lundgren and Bo Baldetorp and H{\aa}kan Olsson and Melinda Rezeli and Elisabet Wieslander and Peter Horvatovich and Johan Malm and G{\"o}ran J{\"o}nsson and Gy{\"o}rgy Marko-Varga",
year = "2019",
month = "12",
day = "1",
doi = "10.1038/s41598-019-41625-z",
language = "English",
volume = "9",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",
number = "1",

}

TY - JOUR

T1 - Improved survival prognostication of node-positive malignant melanoma patients utilizing shotgun proteomics guided by histopathological characterization and genomic data

AU - Betancourt, Lazaro Hiram

AU - Pawłowski, Krzysztof

AU - Eriksson, Jonatan

AU - Szász, A.

AU - Mitra, Shamik

AU - Pla, Indira

AU - Welinder, Charlotte

AU - Ekedahl, Henrik

AU - Broberg, Per

AU - Appelqvist, Roger

AU - Yakovleva, Maria

AU - Sugihara, Yutaka

AU - Miharada, Kenichi

AU - Ingvar, Christian

AU - Lundgren, Lotta

AU - Baldetorp, Bo

AU - Olsson, Håkan

AU - Rezeli, Melinda

AU - Wieslander, Elisabet

AU - Horvatovich, Peter

AU - Malm, Johan

AU - Jönsson, Göran

AU - Marko-Varga, György

PY - 2019/12/1

Y1 - 2019/12/1

N2 - Metastatic melanoma is one of the most common deadly cancers, and robust biomarkers are still needed, e.g. to predict survival and treatment efficiency. Here, protein expression analysis of one hundred eleven melanoma lymph node metastases using high resolution mass spectrometry is coupled with in-depth histopathology analysis, clinical data and genomics profiles. This broad view of protein expression allowed to identify novel candidate protein markers that improved prediction of survival in melanoma patients. Some of the prognostic proteins have not been reported in the context of melanoma before, and few of them exhibit unexpected relationship to survival, which likely reflects the limitations of current knowledge on melanoma and shows the potential of proteomics in clinical cancer research.

AB - Metastatic melanoma is one of the most common deadly cancers, and robust biomarkers are still needed, e.g. to predict survival and treatment efficiency. Here, protein expression analysis of one hundred eleven melanoma lymph node metastases using high resolution mass spectrometry is coupled with in-depth histopathology analysis, clinical data and genomics profiles. This broad view of protein expression allowed to identify novel candidate protein markers that improved prediction of survival in melanoma patients. Some of the prognostic proteins have not been reported in the context of melanoma before, and few of them exhibit unexpected relationship to survival, which likely reflects the limitations of current knowledge on melanoma and shows the potential of proteomics in clinical cancer research.

UR - http://www.scopus.com/inward/record.url?scp=85063494011&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85063494011&partnerID=8YFLogxK

U2 - 10.1038/s41598-019-41625-z

DO - 10.1038/s41598-019-41625-z

M3 - Article

VL - 9

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

IS - 1

M1 - 5154

ER -