Zobrazeno 1 - 10
of 74
pro vyhledávání: '"Tone F Bathen"'
Autor:
Aldema Sas‐Chen, Miriam R Aure, Limor Leibovich, Silvia Carvalho, Yehoshua Enuka, Cindy Körner, Maria Polycarpou‐Schwarz, Sara Lavi, Nava Nevo, Yuri Kuznetsov, Justin Yuan, Francisco Azuaje, Oslo Breast Cancer Research Consortium (OSBREAC), Igor Ulitsky, Sven Diederichs, Stefan Wiemann, Zohar Yakhini, Vessela N Kristensen, Anne‐Lise Børresen‐Dale, Yosef Yarden, Torill Sauer, Jürgen Geisler, Solveig Hofvind, Tone F Bathen, Elin Borgen, Olav Engebråten, Øystein Fodstad, Øystein Garred, Gry Aarum Geitvik, Rolf Kåresen, Bjørn Naume, Gunhild Mari Mælandsmo, Hege G Russnes, Ellen Schlichting, Therese Sørlie, Ole Christian Lingjærde, Kristine Kleivi Sahlberg, Helle Kristine Skjerven, Britt Fritzman
Publikováno v:
EMBO Molecular Medicine, Vol 8, Iss 9, Pp 1052-1064 (2016)
Abstract Long noncoding RNAs (lncRNAs) are emerging as regulators of gene expression in pathogenesis, including cancer. Recently, lncRNAs have been implicated in progression of specific subtypes of breast cancer. One aggressive, basal‐like subtype
Externí odkaz:
https://doaj.org/article/4f7cfb1585b94dd5ac5eed26ab401081
Autor:
May-Britt Tessem, Helena Bertilsson, Anders Angelsen, Tone F Bathen, Finn Drabløs, Morten Beck Rye
Publikováno v:
PLoS ONE, Vol 11, Iss 4, p e0153727 (2016)
Molecular analysis of patient tissue samples is essential to characterize the in vivo variability in human cancers which are not accessible in cell-lines or animal models. This applies particularly to studies of tumor metabolism. The challenge is, ho
Externí odkaz:
https://doaj.org/article/06e8f5393af844c582b85e8b4845bac6
Autor:
Guro F Giskeødegård, Helena Bertilsson, Kirsten M Selnæs, Alan J Wright, Tone F Bathen, Trond Viset, Jostein Halgunset, Anders Angelsen, Ingrid S Gribbestad, May-Britt Tessem
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e62375 (2013)
Separating indolent from aggressive prostate cancer is an important clinical challenge for identifying patients eligible for active surveillance, thereby reducing the risk of overtreatment. The purpose of this study was to assess prostate cancer aggr
Externí odkaz:
https://doaj.org/article/5314860c1d3c437aa4d706098d5bb6ba
Autor:
Tone F Bathen, Brigitte Geurts, Beathe Sitter, Hans E Fjøsne, Steinar Lundgren, Lutgarde M Buydens, Ingrid S Gribbestad, Geert Postma, Guro F Giskeødegård
Publikováno v:
PLoS ONE, Vol 8, Iss 4, p e61578 (2013)
In this study, the feasibility of high resolution magic angle spinning (HR MAS) magnetic resonance spectroscopy (MRS) of small tissue biopsies to distinguish between tumor and non-involved adjacent tissue was investigated. With the current methods, d
Externí odkaz:
https://doaj.org/article/709fe5b63a95463db16090b35cb127c9
Autor:
Anja Bye, Riyas Vettukattil, Stian T Aspenes, Guro F Giskeødegård, Ingrid S Gribbestad, Ulrik Wisløff, Tone F Bathen
Publikováno v:
PLoS ONE, Vol 7, Iss 7, p e42330 (2012)
BACKGROUND: Cardiovascular disease (CVD) is a leading cause of death worldwide, and the number of people at risk is continuously growing. New methods for early risk prediction are therefore needed to actuate prevention strategies before the individua
Externí odkaz:
https://doaj.org/article/542fd28b45ae4c55a44f07b1407363ab
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Purpose:Diffusion-weighted MRI (DW-MRI) is a contrast-free modality that has demonstrated ability to discriminate between predefined benign and malignant breast lesions. However, how well DW-MRI discriminates cancer from all other breast tissue voxel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dd97cd359bad37ed71a1d5063c0cc74
https://doi.org/10.1158/1078-0432.c.6530007
https://doi.org/10.1158/1078-0432.c.6530007
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Mean (95% CI) for all performance measures the U.S. dataset (Supplementary Table S1) and European dataset (Supplementary Table S2). Median (interquartile range) for average signal of the cancer and control regions of interests (ROIs) for both dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::127e5effcc0b5a243c4b72a5ced72010
https://doi.org/10.1158/1078-0432.22478631
https://doi.org/10.1158/1078-0432.22478631
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Probability density colormaps for the three-component model given C1 and C2 for all voxels per patient for (A.) cancer (cancer ROI) and (B.) healthy breast tissue (control ROI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::901d7555fbe3d510992a916ebf5d6c1a
https://doi.org/10.1158/1078-0432.22478628.v1
https://doi.org/10.1158/1078-0432.22478628.v1
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Probability density colormaps for the three-component model given C1 and C2 for all voxels per patient for (A.) cancer (cancer ROI) and (B.) healthy breast tissue (control ROI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::199bc69b5e218b5d0874df671f4f7905
https://doi.org/10.1158/1078-0432.22478622
https://doi.org/10.1158/1078-0432.22478622
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Probability density colormaps for the three-component model given C1 and C2 for all voxels per patient for (A.) cancer (cancer ROI) and (B.) healthy breast tissue (control ROI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6315cbfcf3c42dca24e79cac91553033
https://doi.org/10.1158/1078-0432.22478625.v1
https://doi.org/10.1158/1078-0432.22478625.v1