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About me

The main focus of my research is method development for mass spectrometry based proteomics analysis of biological fluids. I have worked extensively with method development for plasma proteomics, in particular in relation to lung cancer.


2009 PhD KI, Dept. Oncology Pathology

2010-2011 KI, Dept. Oncology Pathology, Post Doc 

2011-2012 Scilifelab/KI/Dept. Oncology Pathology, Post Doc 

2012-2013 The University of Manchester, Stem cell & leukemia proteomics lab, Post Doc 

2013-2014 Scilifelab/KI/Dept. Oncology Pathology, Post Doc

2014- Scilifelab/KI/Dept. Oncology Pathology, Assistant professor 


Ultrasensitive Immunoprofiling of Plasma Extracellular Vesicles Identifies Syndecan-1 as a Potential Tool for Minimally Invasive Diagnosis of Glioma
Indira Chandran V, Welinder C, Månsson As, Offer S, Freyhult E, Pernemalm M, et al
Clinical cancer research : an official journal of the American Association for Cancer Research 2019;():-

Silencing FLI or targeting CD13/ANPEP lead to dephosphorylation of EPHA2, a mediator of BRAF inhibitor resistance, and induce growth arrest or apoptosis in melanoma cells
Azimi A, Tuominen R, Costa Svedman F, Caramuta S, Pernemalm M, Frostvik Stolt M, et al
Cell death & disease 2017;8(8):e3029-

ERK and AKT phosphorylation status in lung cancer and emphysema using nanocapillary isoelectric focusing
Crosbie Pa, Crosbie Ej, Aspinall-o'dea M, Walker M, Harrison R, Pernemalm M, et al
BMJ open respiratory research 2016;3(1):e000114-

Protein Z: A putative novel biomarker for early detection of ovarian cancer
Russell Mr, Walker Mj, Williamson Aj, Gentry-maharaj A, Ryan A, Kalsi J, et al
International journal of cancer 2016;138(12):2984-92

Differential protein expression profiles of cyst fluid from papillary thyroid carcinoma and benign thyroid lesions
Dinets A, Pernemalm M, Kjellin H, Sviatoha V, Sofiadis A, Juhlin Cc, et al
PloS one 2015;10(5):e0126472-

Discovery and Validation of Predictive Biomarkers of Survival for Non-small Cell Lung Cancer Patients Undergoing Radical Radiotherapy: Two Proteins With Predictive Value
Walker Mj, Zhou C, Backen A, Pernemalm M, Williamson Aj, Priest Lj, et al
EBioMedicine 2015;2(8):841-50

Identifying and Assessing Interesting Subgroups in a Heterogeneous Population
Lee W, Alexeyenko A, Pernemalm M, Guegan J, Dessen P, Lazar V, et al
BioMed research international 2015;2015():462549-

Molecular histology of lung cancer: from targets to treatments
Wood Sl, Pernemalm M, Crosbie Pa, Whetton Ad
Cancer treatment reviews 2015;41(4):361-75

Proteomics Analysis Reveals Distinct Corona Composition on Magnetic Nanoparticles with Different Surface Coatings: Implications for Interactions with Primary Human Macrophages
Vogt C, Pernemalm M, Kohonen P, Laurent S, Hultenby K, Vahter M, et al
PloS one 2015;10(10):e0129008-

Mass spectrometry-based plasma proteomics: state of the art and future outlook
Pernemalm M, Lehtiö J
Expert review of proteomics 2014;11(4):431-48

Proteomics analysis of melanoma metastases: association between S100A13 expression and chemotherapy resistance
Azimi A, Pernemalm M, Frostvik Stolt M, Hansson J, Lehtiö J, Egyházi Brage S, et al
British journal of cancer 2014;110(10):2489-95

The role of the tumor-microenvironment in lung cancer-metastasis and its relationship to potential therapeutic targets
Wood Sl, Pernemalm M, Crosbie Pa, Whetton Ad
Cancer treatment reviews 2014;40(4):558-66

A novel prefractionation method combining protein and peptide isoelectric focusing in immobilized pH gradient strips
Pernemalm M, Lehtiö J
Journal of proteome research 2013;12(2):1014-9

Narrow-range peptide isoelectric focusing as peptide prefractionation method prior to tandem mass spectrometry analysis
Pernemalm M
Methods in molecular biology (Clifton, N.J.) 2013;1023():3-11

Quantitative proteomics profiling of primary lung adenocarcinoma tumors reveals functional perturbations in tumor metabolism
Pernemalm M, De Petris L, Branca Rm, Forshed J, Kanter L, Soria Jc, et al
Journal of proteome research 2013;12(9):3934-43

Network enrichment analysis: extension of gene-set enrichment analysis to gene networks
Alexeyenko A, Lee W, Pernemalm M, Guegan J, Dessen P, Lazar V, et al
BMC bioinformatics 2012;13():226-

Enhanced Information Output From Shotgun Proteomics Data by Protein Quantification and Peptide Quality Control (PQPQ)
Forshed J, Johansson Hj, Pernemalm M, Branca Rmm, Sandberg A, Lehtio J
MOLECULAR & CELLULAR PROTEOMICS 2011;10(10):M111.010264-

A novel method for sample preparation of fresh lung cancer tissue for proteomics analysis by tumor cell enrichment and removal of blood contaminants
De Petris L, Pernemalm M, Elmberger G, Bergman P, Orre L, Lewensohn R, et al

Affinity prefractionation for MS-based plasma proteomics
Pernemalm M, Lewensohn R, Lehtio J
PROTEOMICS 2009;9(6):1420-7

Tumor expression of S100A6 correlates with survival of patients with stage I non-small-cell lung cancer
De Petris L, Orre Lm, Kanter L, Pernemalm M, Koyi H, Lewensohn R, et al
LUNG CANCER 2009;63(3):410-7

Use of narrow-range peptide IEF to improve detection of lung adenocarcinoma markers in plasma and pleural effusion
Pernemalm M, De Petris L, Eriksson H, Branden E, Koyi H, Kanter L, et al
PROTEOMICS 2009;9(13):3414-24

Evaluation of three principally different intact protein prefractionation methods for plasma biomarker discovery
Pernemalm M, Orre Lm, Lengqvist J, Wikstrom P, Lewensohn R, Lehtio J

Proteomic data analysis workflow for discovery of candidate biomarker peaks predictive of clinical outcome for patients with acute myeloid leukemia
Forshed J, Pernemalm M, Tan Cs, Lindberg M, Kanter L, Pawitan Y, et al

Up-regulation, modification, and translocation of S100A6 induced by exposure to ionizing radiation revealed by proteomics profiling
Orre Lm, Pernemalm M, Lengqvist J, Lewensohn R, Lehtio J

Annotated regions of significance of SELDI-TOF-MS spectra for detecting protein biornarkers
Tan Cs, Ploner A, Quandt A, Lehtio J, Pernemalm M, Lewensohn R, et al
PROTEOMICS 2006;6(23):6124-33

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