Bilde av Rakaee, Mehrdad
Bilde av Rakaee, Mehrdad
Department of Medical Biology mehrdad.rakaee@uit.no +4777625237 Tromsø You can find me here

Mehrdad Rakaee


Job description

 

  • Medlem av Translasjonell kreftforskningsgruppe.
  • Veileder for phd- og postdoc-studenter.
  • Lang erfaring innen eksperimentell, statistisk, og beregnings analyse av kreft, med forskningsekspertise innen biomarkør utvikling, validering, klinisk implementering, klinikogenomikk, og kunstig intelligens-basert patologi.
  • Hovedstilling som forsker I ved Avdeling for Klinisk Patologi, Universitetssykehuset Nord-Norge, Tromsø, med ansvar for å implementere, analysere, og tolke neste generasjons sekvensering (NGS) i rutinepraksis. Tjener også som genetiker i nasjonal infrastruktur for presisjonsdiagnostikk innen kreftbehandling (InPred), IMPRESS-Norway, og TNM-I kliniske studier for persontilpasset medisin.
  • Bistilling som seniorforsker ved Åslaug Helland lab, Kreftgenetikk avdeling, Institutt for kreftforskning, Oslo universitetssykehus (OUS), med oppgaver som utvikling av kunstig intelligens-baserte verktøy som prediktive biomarkører for presisjons-immunterapi i lungekreft.
  • Samarbeidspartner (affiliate) med Brigham and Women’s Hospital, Dana Farber Cancer Institute, Harvard Medical School, Boston, USA.
  • Samarbeidspartner med Imperial College London, UK.

  • Dagny, Thomas Karsten, Mona Irene, Egil Støre, Ilona Halva, Erna-Elise et al.:
    High density of TCF1+ stem-like tumor-infiltrating lymphocytes is associated with favorable disease-specific survival in NSCLC
    Frontiers in Immunology 2024 DOI / ARKIV
  • Mehrdad, Masoud, Biagio, Joao V, Alessio, Fabrizio et al.:
    Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer
    JAMA Oncology 2024 DOI / ARKIV
  • Masoud, Anders, Mehrdad, Nikita, Lars Ailo Aslaksen, Lill-Tove Rasmussen et al.:
    Deep learning-based classification of breast cancer molecular subtypes from H&E whole-slide images
    Journal of Pathology Informatics 2024 DOI / ARKIV
  • Csaba, Hassan Mohammed, Biagio, Amin H, Elio, Joao V et al.:
    Association of Baseline Tumor-Specific Neoantigens and CD8+ T-Cell Infiltration With Immune-Related Adverse Events Secondary to Immune Checkpoint Inhibitors
    JCO Precision Oncology (JCO PO) 2024 DOI
  • Erna-Elise, Sigve, Mehrdad, Mona Irene, Ana Paola, Mette et al.:
    Impact of microvessel patterns and immune status in NSCLC: a non-angiogenic vasculature is an independent negative prognostic factor in lung adenocarcinoma
    Frontiers in Oncology 2023 DOI / ARKIV
  • Lorenzo, Carlo, Ermanno, Giovanna, Michele, Charles Z. et al.:
    Deep pathomics: A new image-based tool for predicting response to treatment in stage III non-small cell lung cancer
    PLOS ONE 2023 DOI
  • Mehrdad, Sigve, K., Erna-Elise, Thomas Karsten, Lill-Tove Rasmussen et al.:
    Machine learning-based immune phenotypes correlate with STK11/KEAP1 co-mutations and prognosis in resectable NSCLC: a sub-study of the TNM-I trial
    Annals of Oncology 2023 DOI / ARKIV
  • Biagio, Arielle, Joao, Xinan, Yvonne, Hersh et al.:
    Clinicopathologic, Genomic, and Immunophenotypic Landscape of ATM Mutations in Non–Small Cell Lung Cancer
    Clinical Cancer Research 2023 DOI
  • Donjeta, Elio, Kendra, Jianfeng, Yuxue, Wenjiao et al.:
    Enzyme-mediated depletion of methylthioadenosine restores T cell function in MTAP-deficient tumors and reverses immunotherapy resistance
    Cancer Cell 28. September 2023 DOI
  • Mehrdad, Elio, Biagio, Lynette M. Sholl, Weiwei, Joao V. et al.:
    Association of machine learning-based assessment of tumor-infiltrating lymphocytes on standard histologic images with outcomes of immunotherapy in patients with NSCLC
    JAMA Oncology 17. November 2022 DOI
  • Maria Jenvin, Sigve, Mehrdad, Mona I., Lise Martine, Tom et al.:
    Overexpression of mir-20a-5p in tumor epithelium is an independent negative prognostic indicator in prostate cancer—a multi-institutional study
    Cancers 2021 DOI / ARKIV
  • Simin, Mehrdad, Reza, George, Kristin Andreassen :
    Interplay of immune and kidney resident cells in the formation of tertiary lymphoid structures in lupus nephritis
    Autoimmunity Reviews 2021 DOI / ARKIV
  • Maria Jenvin, Sigve, Mehrdad, Mona Irene, Lise Martine, Roy M. et al.:
    High expression of miR-17-5p in tumor epithelium is a predictor for poor prognosis for prostate cancer patients
    Scientific Reports 2021 DOI / ARKIV
  • Håkon Andre, Elin, Gustavo Antonio De, Mehrdad, Maria, Peder Rustøen et al.:
    Proteomic analyses identify major vault protein as a prognostic biomarker for fatal prostate cancer
    Carcinogenesis 2021 DOI / ARKIV
  • Mehrdad, Thomas Karsten, Simin, Thomas, Erna-Elise, Marte et al.:
    Tertiary lymphoid structure score: a promising approach to refine the TNM staging in resected non-small cell lung cancer
    British Journal of Cancer 2021 DOI
  • Thomas Karsten, Erna-Elise, Sigve, Mehrdad, Roy M., Lill-Tove Rasmussen et al.:
    Digitally quantified CD8+ cells: the best candidate marker for an immune cell score in non-small cell lung cancer?
    Carcinogenesis 2020 DOI / ARKIV
  • Elin, Sigve, Christian, Mehrdad, Nora, Samer et al.:
    MicroRNA 141 is associated to outcome and aggressive tumor characteristics in prostate cancer
    Scientific Reports 2019 DOI / ARKIV
  • Mehrdad, Lill-Tove, Simin, Erna-Elise, Elin, Sigve et al.:
    Prognostic Value of Macrophage Phenotypes in Resectable Non–Small Cell Lung Cancer Assessed by Multiplex Immunohistochemistry
    Neoplasia 12. Februar 2019 DOI / ARKIV
  • Thomas Karsten, Mehrdad, Turid, Jørg, Luigi de, Tom et al.:
    Differential prognostic impact of platelet-derived growth factor receptor Expression in NSCLC
    Scientific Reports 2019 DOI / ARKIV
  • Elin, Sigve, Samer, Mehrdad, Yngve, Mona Irene et al.:
    Low expression of miR-424-3p is highly correlated with clinical failure in prostate cancer
    Scientific Reports 2019 DOI / ARKIV
  • Thea K.W., Elin, Sigve, Kaja Konstanse, Mehrdad, Tom et al.:
    Progesterone receptors in prostate cancer: Progesterone receptor B is the isoform associated with disease progression
    Scientific Reports 2018 DOI / ARKIV
  • Mehrdad, Thomas Karsten, Stig Manfred, Elin, Erna Elise, Sigurd et al.:
    Evaluation of tumor-infiltrating lymphocytes using routine H&E slides predicts patient survival in resected non-small cell lung cancer
    Human Pathology 2018 DOI
  • Sigurd, Mehrdad, Inigo Zubiavrre, Elin, Samer, Erna Elise et al.:
    LAG-3 in Non-Small-cell Lung Cancer: Expression in Primary Tumors and Metastatic Lymph Nodes Is Associated With Improved Survival
    Clinical Lung Cancer 2018 DOI
  • Thomas Karsten, Mehrdad, Turid, Arne, Carina, Roy M. et al.:
    Tissue analyses reveal a potential immune-adjuvant function of FAP-1 positive fibroblasts in non-small cell lung cancer
    PLOS ONE 2018 DOI / ARKIV
  • Nora, Sigve, Mehrdad, Cecilie, Andrey Yurjevich, Erna-Elise et al.:
    The prognostic role of immune checkpoint markers programmed cell death protein 1 (PD-1) and programmed death ligand 1 (PD-L1) in a large, multicenter prostate cancer cohort
    OncoTarget 2017 DOI / ARKIV
  • Elin, Sigve, Samer, Mehrdad, Yngve, Mona Irene et al.:
    Evaluation of the proliferation marker Ki-67 in a large prostatectomy cohort
    PLOS ONE 2017 DOI / ARKIV
  • Yngve, Elin, Mehrdad, Nora, Tom, Hitendra R.H. et al.:
    High expression of PDGFR-β in prostate cancer stroma is independently associated with clinical and biochemical prostate cancer recurrence
    Scientific Reports 2017 DOI / ARKIV
  • Sigve, Elin, Mehrdad, Helena, Roy M., Magne et al.:
    Expression of phosphatase of regenerating liver (PRL)-3, is independently associated with biochemical failure, clinical failure and death in prostate cancer
    PLOS ONE 30. November 2017 DOI / ARKIV
  • Elio, falah, Masoud, Amin, Elias Bou, Harvey J. et al.:
    Deep learning–powered analysis of tumor-infiltrating lymphocytes (TILs) in colorectal cancer
    2025
  • Elio, falah, Masoud, Amin, Lill-Tove Rasmussen, Tom et al.:
    Artificial Intelligence-powered analysis of the tumor immune microenvironment in primary and metastatic colorectal cancer
    2024
  • falah, Sigve, Erna-Elise, Masoud, Elin Helmine, Sissel Gyrid Freim et al.:
    Integrating Artificial intelligence (AI)-based lymphocytic infiltration assessment in early-stage NSCLC: A sub-study of the TNM-I trial
    2024
  • Mehrdad :
    Machine learning and AI in pathology for prediction of response to immunotherapy
    2024
  • Elio, Mehrdad, Amin, Elias Bou, Stephen, David J. :
    Machine learning (ML)-based quantification of tumor-infiltrating lymphocytes (TIL) and clinical outcomes of patients with melanoma treated with immune-checkpoint inhibitors (ICI)
    2023
  • Mehrdad :
    Stian har livstruende lungekreft: – Jeg er beviset på at forskning nytter
    08. Juni 2023
  • Mehrdad, Masoud, Elio, Biagio, Joao, Alessio et al.:
    Artificial intelligence algorithm developed to predict immune checkpoint inhibitors efficacy in non–small-cell lung cancer
    2023
  • Scheiner, Alessio, Kim, D. Goldin, A.M. Fulgenzi, Balcar et al.:
    MACHINE LEARNING-BASED ASSESSMENT OF TUMOUR- INFILTRATING LYMPHOCYTES PREDICTS OUTCOMES IN PATIENTS WITH HEPATOCELLULAR CARCINOMA UNDERGOING ATEZOLIZUMAB AND BEVACIZUMAB TREATMENT
    2023
  • Mehrdad, Patrick :
    Mutational drivers of a dysfunctional local immune response in resected non-small cell lung cancer (NSCLC) patients
    UiT Norges arktiske universitet 30. Mai 2023
  • Mehrdad, Siri :
    Developing a machine learning model for tumor cell quantification in standard histology images of lung cancer
    UiT Norges arktiske universitet 31. Mai 2023
  • Mehrdad, Elio, Biagio, Lynette M., Weiwei, Joao V et al.:
    Computational pathology by Artificial Intelligence (AI) on quantifying the lymphocytic infiltration predicts the immunotherapy response in NSCLC
    2022
  • Mehrdad :
    AI-based in-situ immunophenotypes and genomic alterations in non-small cell lung cancer
    2022
  • Mehrdad, Elio, Biagio, Lynette M., Joao, Alessio et al.:
    Digital quantification of lymphocytic infiltration on routine H&E images and immunotherapy response in non-small cell lung cancer
    2022
  • Mehrdad, Elio, Biagio, Lynette M., Weiwei, Joao et al.:
    Artificial intelligence in digital pathology approach identifies the predictive impact of tertiary lymphoid structures with immune-checkpoints therapy in NSCLC
    2022
  • Mehrdad :
    Digital quantification of lymphocytic infiltration on routine H&E images predicts efficacy of immunotherapy in NSCLC
    2022
  • Mehrdad, Kiniena :
    Heterogeneity Assessment of PD-L1 Expression in Biopsy Versus Resected Specimens of Lung Adenocarcinoma - Machine Learning Approach
    UiT Norges arktiske universitet 31. Mai 2022
  • Elio, Amin, Talal, Neil, Mehrdad, Tarek H. et al.:
    Dual CDKN2A/MTAP loss compared to CDKN2A loss alone and response to immunecheckpoint inhibitors (ICI) in advanced solid tumors
    2022
  • Mehrdad, Siri Gulliksen :
    Tromsø-forsker med på tre posterpresentasjoner
    04. Juni 2022
  • Mehrdad :
    AI-based pathology predicts immunotherapy response in lung cancer
    2022
  • Mehrdad :
    Genomic and Immunological Landscape of Scandinavian NSCLC
    2021
  • Mehrdad, Thomas Karsten :
    Immune Infiltration and Clinical Outcome in Non-Small Cell Lung Cancer
    UiT Norges arktiske universitet 12. März 2019
  • Kaja Konstanse, Thea K.W., Mehrdad, Elin, Tom, Thomas Karsten et al.:
    Corrigendum to "Prognostic relevance of estrogen receptor α, β and aromatase expression in non-small cell lung cancer" [Steroids 113 (2016) 5-13]
    Steroids 2018 DOI

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    Research interests

    • Kunstig Intelligens (AI) i digital patologi
    • Kreftimmunterapi
    • Persontilpasset onkologi




    MH øst L7.127


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