Pekka Taimen profile picture
Pekka
Taimen
Associate Professor, Institute of Biomedicine
MD, PhD

Contact

+358 29 450 4524
+358 50 431 1353
Kiinamyllynkatu 10
20520
Turku

Areas of expertise

pathology
histology
cell biology
prostate cancer, bladder cancer, nuclear lamin

Biography

Pekka Taimen received his MD degree from the University of Turku in 2001 and defended his thesis at the Department of Pathology, University of Turku in 2004. In 2008-2009 PT worked as a postdoctoral fellow in the laboratory of Prof. Robert D. Goldman, Northwestern University Medical School, Chicago. Postdoctoral studies focusing on nuclear intermediate filament proteins called lamins were further continued as a junior group leader after returning back to Turku in early 2010. In 2011 PT received a specialist degree in Pathology and since then he has worked as a part-time specialist in the Pathology Division, Turku University Hospital with special focus on uropathology. From 2012 PT has worked as a Clinical lecturer in Pathology and between 2015-2019 as a part-time Academy of Finland Clinical Researcher. PT was appointed as a tenure track Assistant Professor of Molecular Pathology in January 2019 and an Associate Professor in August 2020.

Teaching

Pekka Taimen has more than 10 years of experience in teaching medical students at the Institute of Biomedicine, University of Turku. He has served first as a university teacher and from 2012 as a clinical lecturer. In 2015 PT received the Lecturer of the Year award in the Faculty of Medicine.

Research

Assistant Professor Pekka Taimen has 20 years of experience in cell and molecular biology as well as in translational research. The main focus of his research group is on human diseases caused by lamin mutations, such as cardiomyopathies and premature aging syndrome. More recently, PT has also actively worked on prostate and bladder cancer related projects including novel biomarkers, biobanking, patient derived cell lines and improved imaging techniques utilizing digital pathology and machine learning approaches.

Publications

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Detection of Prostate Cancer Using Biparametric Prostate MRI, Radiomics, and Kallikreins: A Retrospective Multicenter Study of Men With a Clinical Suspicion of Prostate Cancer (2021)

Journal of Magnetic Resonance Imaging
Perez IM, Merisaari H, Jambor I, Ettala O, Taimen P, Knaapila J, Kekki H, Khan FL, Syrjälä E, Steiner A, Syvänen KT, Verho J, Seppänen M, Rannikko A, Riikonen J, Mirtti T, Lamminen T, Saunavaara J, Falagario U, Martini A, Pahikkala T, Pettersson K, Boström PJ, Aronen HJ
(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study (2021)

npj Precision Oncology
Leo P, Janowczyk A, Elliott R, Janaki N, Bera K, Shiradkar R, Farre X, Fu PF, El-Fahmawi A, Shahait M, Kim J, Lee D, Yamoah K, Rebbeck TR, Khani F, Robinson BD, Eklund L, Jambor I, Merisaari H, Ettala O, Taimen P, Aronen HJ, Bostrom PJ, Tewari A, Magi-Galluzzi C, Klein E, Purysko A, Shih NN, Feldman M, Gupta S, Lal P, Madabhushi A
(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

A Prospective Comparison of 18 F-prostate-specific Membrane Antigen-1007 Positron Emission Tomography Computed Tomography, Whole-body 1.5 T Magnetic Resonance Imaging with Diffusion-weighted Imaging, and Single-photon Emission Computed Tomography/Computed Tomography with Traditional Imaging in Primary Distant Metastasis Staging of Prostate Cancer (PROSTAGE) (2020)

European Urology Oncology
Anttinen M, Ettala O, Malaspina S, Jambor I, Sandell M, Kajander S, Rinta-Kiikka I, Schildt J, Saukko E, Rautio P, Timonen KL, Matikainen T, Noponen T, Saunavaara J, Löyttyniemi E, Taimen P, Kemppainen J, Dean PB, Blanco Sequeiros R, Aronen HJ, Seppänen M, Boström PJ
(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)

Prostate Cancer Risk Stratification in Men With a Clinical Suspicion of Prostate Cancer Using a Unique Biparametric MRI and Expression of 11 Genes in Apparently Benign Tissue: Evaluation Using Machine-Learning Techniques (2020)

Journal of Magnetic Resonance Imaging
Ileana Montoya Perez, Ivan Jambor, Tapio Pahikkala, Antti Airola, Harri Merisaari, Jani Saunavaara, Saeid Alinezhad, Riina-Minna Väänänen, Terhi Tallgrén, Janne Verho, Aida Kiviniemi, Otto Ettala, Juha Knaapila, Kari T. Syvänen, Markku Kallajoki, Paula Vainio, Hannu J. Aronen, Kim Pettersson, Peter J. Boström, Pekka Taimen
(A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä)