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Your search keyword '"Giskeødegård, Guro F."' showing total 19 results
Start Over Author "Giskeødegård, Guro F." Publisher springer science and business media llc
19 results on '"Giskeødegård, Guro F."'

1. Diagnostic accuracy of anti-3-[18F]-FACBC PET/MRI in gliomas

Author

Karlberg, Anna, primary, Pedersen, Lars Kjelsberg, additional, Vindstad, Benedikte Emilie, additional, Skjulsvik, Anne Jarstein, additional, Johansen, Håkon, additional, Solheim, Ole, additional, Skogen, Karoline, additional, Kvistad, Kjell Arne, additional, Bogsrud, Trond Velde, additional, Myrmel, Kristin Smistad, additional, Giskeødegård, Guro F., additional, Ingebrigtsen, Tor, additional, Berntsen, Erik Magnus, additional, and Eikenes, Live, additional

Published
2023
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4. Association of serum cortisol and cortisone levels and risk of recurrence after endocrine treatment in breast cancer

Author

Wang, Feng, primary, Giskeødegård, Guro F., additional, Skarra, Sissel, additional, Engstrøm, Monica J., additional, Hagen, Lars, additional, Geisler, Jürgen, additional, Mikkola, Tomi S., additional, Tikkanen, Matti J., additional, Debik, Julia, additional, Reidunsdatter, Randi J., additional, and Bathen, Tone F., additional

Published
2023
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8. DNA methylation changes in response to neoadjuvant chemotherapy are associated with breast cancer survival

Author

Pedersen, Christine Aaserød, primary, Cao, Maria Dung, additional, Fleischer, Thomas, additional, Rye, Morten B., additional, Knappskog, Stian, additional, Eikesdal, Hans Petter, additional, Lønning, Per Eystein, additional, Tost, Jörg, additional, Kristensen, Vessela N., additional, Tessem, May-Britt, additional, Giskeødegård, Guro F., additional, and Bathen, Tone F., additional

Published
2022
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10. Spatial differentiation of metabolism in prostate cancer tissue by MALDI-TOF MSI

Author

Andersen, Maria K., primary, Høiem, Therese S., additional, Claes, Britt S. R., additional, Balluff, Benjamin, additional, Martin-Lorenzo, Marta, additional, Richardsen, Elin, additional, Krossa, Sebastian, additional, Bertilsson, Helena, additional, Heeren, Ron M. A., additional, Rye, Morten B., additional, Giskeødegård, Guro F., additional, Bathen, Tone F., additional, and Tessem, May-Britt, additional

Published
2021
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12. Metabolite and lipoprotein responses and prediction of weight gain during breast cancer treatment

Author

Madssen, Torfinn S., primary, Thune, Inger, additional, Flote, Vidar G., additional, Lundgren, Steinar, additional, Bertheussen, Gro F., additional, Frydenberg, Hanne, additional, Wist, Erik, additional, Schlichting, Ellen, additional, Schäfer, Hartmut, additional, Fjøsne, Hans E., additional, Vettukattil, Riyas, additional, Lømo, Jon, additional, Bathen, Tone F., additional, and Giskeødegård, Guro F., additional

Published
2018
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14. Evaluation of metabolomic changes during neoadjuvant chemotherapy combined with bevacizumab in breast cancer using MR spectroscopy

Author

Euceda, Leslie R., primary, Haukaas, Tonje H., additional, Giskeødegård, Guro F., additional, Vettukattil, Riyas, additional, Engel, Jasper, additional, Silwal-Pandit, Laxmi, additional, Lundgren, Steinar, additional, Borgen, Elin, additional, Garred, Øystein, additional, Postma, Geert, additional, Buydens, Lutgarde M. C., additional, Børresen-Dale, Anne-Lise, additional, Engebraaten, Olav, additional, and Bathen, Tone F., additional

Published
2017
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19. Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome

Author

Aure, Miriam Ragle, Vitelli, Valeria, Jernström, Sandra, Kumar, Surendra, Krohn, Marit, Due, Eldri U, Haukaas, Tonje Husby, Leivonen, Suvi-Katri, Vollan, Hans Kristian Moen, Lüders, Torben, Rødland, Einar, Vaske, Charles J, Zhao, Wei, Møller, Elen K, Nord, Silje, Giskeødegård, Guro F, Bathen, Tone Frost, Caldas, Carlos, Tramm, Trine, Alsner, Jan, Overgaard, Jens, Geisler, Jürgen, Bukholm, Ida RK, Naume, Bjørn, Schlichting, Ellen, Sauer, Torill, Mills, Gordon B, Kåresen, Rolf, Mælandsmo, Gunhild M, Lingjærde, Ole Christian, Frigessi, Arnoldo, Kristensen, Vessela N, Børresen-Dale, Anne-Lise, Sahlberg, Kristine K, and OSBREAC

Subjects
DNA Copy Number Variations, Norway, Gene Expression Profiling, Integration, MicroRNA, Breast Neoplasms, Prognosis, 3. Good health, Gene Expression Regulation, Neoplastic, Luminal A, MicroRNAs, Breast cancer, Biomarkers, Tumor, Cluster Analysis, Humans, Metabolomics, Consensus clustering, Female, Gene Regulatory Networks, RNA, Messenger, Metabolic Networks and Pathways
Abstract

BACKGROUND: Breast cancer is a heterogeneous disease at the clinical and molecular level. In this study we integrate classifications extracted from five different molecular levels in order to identify integrated subtypes. METHODS: Tumor tissue from 425 patients with primary breast cancer from the Oslo2 study was cut and blended, and divided into fractions for DNA, RNA and protein isolation and metabolomics, allowing the acquisition of representative and comparable molecular data. Patients were stratified into groups based on their tumor characteristics from five different molecular levels, using various clustering methods. Finally, all previously identified and newly determined subgroups were combined in a multilevel classification using a "cluster-of-clusters" approach with consensus clustering. RESULTS: Based on DNA copy number data, tumors were categorized into three groups according to the complex arm aberration index. mRNA expression profiles divided tumors into five molecular subgroups according to PAM50 subtyping, and clustering based on microRNA expression revealed four subgroups. Reverse-phase protein array data divided tumors into five subgroups. Hierarchical clustering of tumor metabolic profiles revealed three clusters. Combining DNA copy number and mRNA expression classified tumors into seven clusters based on pathway activity levels, and tumors were classified into ten subtypes using integrative clustering. The final consensus clustering that incorporated all aforementioned subtypes revealed six major groups. Five corresponded well with the mRNA subtypes, while a sixth group resulted from a split of the luminal A subtype; these tumors belonged to distinct microRNA clusters. Gain-of-function studies using MCF-7 cells showed that microRNAs differentially expressed between the luminal A clusters were important for cancer cell survival. These microRNAs were used to validate the split in luminal A tumors in four independent breast cancer cohorts. In two cohorts the microRNAs divided tumors into subgroups with significantly different outcomes, and in another a trend was observed. CONCLUSIONS: The six integrated subtypes identified confirm the heterogeneity of breast cancer and show that finer subdivisions of subtypes are evident. Increasing knowledge of the heterogeneity of the luminal A subtype may add pivotal information to guide therapeutic choices, evidently bringing us closer to improved treatment for this largest subgroup of breast cancer.

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