• A 10-gene prognostic signature points to LIMCH1 and HLA-DQB1 as important players in aggressive cervical cancer disease 

      Halle, Mari Kyllesø; Sødal, Marte; Forsse, David Erik; Engerud, Hilde Renate; Woie, Kathrine; Lura, Njål Gjærde; Wagner-Larsen, Kari Strøno; Trovik, Jone; Bertelsen, Bjørn; Haldorsen, Ingfrid S.; Ojesina, Akinyemi I.; Krakstad, Camilla (Journal article; Peer reviewed, 2021)
      Background: Advanced cervical cancer carries a particularly poor prognosis, and few treatment options exist. Identification of effective molecular markers is vital to improve the individualisation of treatment. We investigated ...
    • Adverse events and in-hospital mortality: An analysis of all deaths in a Norwegian health trust during 2011 

      Flaatten, Hans; Brattebø, Guttorm; Alme, Bjørn Arild; Berge, Kjersti; Rosland, Jan Henrik; Viste, Asgaut; Bertelsen, Bjørn; Harthug, Stig; Aardal, Sidsel (Peer reviewed; Journal article, 2017-07-06)
      Background: The estimated number of in-hospitals deaths due to adverse events is often different when using data from deceased patients compared with that of a population experiencing adverse events. Methods: The study was ...
    • A gene signature identifying CIN3 regression and cervical cancer survival 

      Halle, Mari Kyllesø; Munk, Ane Cecilie Dæhli; Engesæter, Birgit Øvstebø; Akbari, Saleha; Frafjord, Astri; Høivik, Erling Andre; Forsse, David Erik; Fasmer, Kristine Eldevik; Woie, Kathrine; Haldorsen, Ingfrid S.; Bertelsen, Bjørn; Janssen, Emiel; Gudlaugsson, Einar; Krakstad, Camilla; Øvestad, Irene Tveiterås (Journal article; Peer reviewed, 2021-11-16)
      The purpose of this study was to establish a gene signature that may predict CIN3 regression and that may aid in selecting patients who may safely refrain from conization. Oncomine mRNA data including 398 immune-related ...
    • Genomic alterations associated with mutational signatures, DNA damage repair and chromatin remodeling pathways in cervical carcinoma 

      Halle, Mari Kyllesø; Sundaresan, Aishwarya; Zhang, Jianqing; Pedamallu, Chandra S.; Srinivasasainagendra, Vinodh; Blair, Jessica; Brooke, Dewey; Bertelsen, Bjørn; Woie, Kathrine; Shrestha, Sadeep; Tiwari, Hemant K.; Wong, Yick Fu; Krakstad, Camilla; Ojesina, Akinyemi I (Journal article; Peer reviewed, 2021)
      Despite recent advances in the prevention of cervical cancer, the disease remains a leading cause of cancer-related deaths in women worldwide. By applying the GISTIC2.0 and/or the MutSig2CV algorithms on 430 whole-exome-sequenced ...
    • Molecular pathogenesis of polymerase gamma-related neurodegeneration 

      Tzoulis, Charalampos; Tran, Gia Tuong Thi; Coxhead, Jonathan; Bertelsen, Bjørn; Lilleng, Peer Kåre; Balafkan, Novin; Payne, Brendan; Miletic, Hrvoje; Chinnery, Patrick F.; Bindoff, Laurence (Peer reviewed; Journal article, 2014-07)
      Objective: Polymerase gamma (POLG) mutations are a common cause of mitochondrial disease and have also been linked to neurodegeneration and aging. We studied the molecular mechanisms underlying POLG-related neurodegeneration ...
    • Visceral fat percentage for prediction of outcome in uterine cervical cancer 

      Eide, Agnes J.; Halle, Mari Kyllesø; Lura, Njål; Fasmer, Kristine Eldevik; Wagner-Larsen, Kari Strøno; Forsse, David Erik; Bertelsen, Bjørn; Salvesen, Øyvind Olav; Krakstad, Camilla; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2023)
      Objective The prognostic role of adiposity in uterine cervical cancer (CC) is largely unknown. Abdominal fat distribution may better reflect obesity than body mass index. This study aims to describe computed tomography ...
    • What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer? 

      Lura, Njål Gjærde; Wagner-Larsen, Kari Strøno; Forsse, David Erik; Trovik, Jone; Halle, Mari Kyllesø; Bertelsen, Bjørn; Salvesen, Øyvind; Woie, Kathrine; Krakstad, Camilla; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2022-06-17)
      Background: Tumor size assessment by MRI is central for staging uterine cervical cancer. However, the optimal role of MRI-derived tumor measurements for prognostication is still unclear. Material and methods: This ...