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Anne Lise Børresen-Dale
Researcher at Oslo University Hospital
Publications - 470
Citations - 94317
Anne Lise Børresen-Dale is an academic researcher from Oslo University Hospital. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 104, co-authored 456 publications receiving 83276 citations. Previous affiliations of Anne Lise Børresen-Dale include University of Oslo & Vanderbilt University.
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Journal ArticleDOI
Frequent aberrant DNA methylation of ABCB1, FOXC1, PPP2R2B and PTEN in ductal carcinoma in situ and early invasive breast cancer
Aslaug Aa Muggerud,Jo Anders Rønneberg,Jo Anders Rønneberg,Fredrik Wärnberg,Johan Botling,Florence Busato,Jovana Jovanovic,Hiroko K. Solvang,Hiroko K. Solvang,Ida Rashida Khan Bukholm,Anne Lise Børresen-Dale,Anne Lise Børresen-Dale,Vessela N. Kristensen,Vessela N. Kristensen,Therese Sørlie,Therese Sørlie,Jörg Tost +16 more
TL;DR: Quantitative methylation analysis identified ABCB1, FOXC1, PPP2R2B and PTEN as novel genes to be methylated in DCIS and showed a significant increase in the methylation frequency in invasive tumours.
Journal ArticleDOI
High-throughput screens identify microRNAs essential for HER2 positive breast cancer cell growth.
Suvi-Katri Leivonen,Suvi-Katri Leivonen,Suvi-Katri Leivonen,Kristine Kleivi Sahlberg,Kristine Kleivi Sahlberg,Kristine Kleivi Sahlberg,Rami Mäkelä,Eldri U. Due,Eldri U. Due,Olli Kallioniemi,Anne Lise Børresen-Dale,Anne Lise Børresen-Dale,Merja Perälä +12 more
TL;DR: These results give mechanistic insights in HER2 regulation which may open potential new strategies towards prevention and therapeutic inhibition of HER2‐positive breast cancer.
Journal ArticleDOI
p53-repressed miRNAs are involved with E2F in a feed-forward loop promoting proliferation
Ran Brosh,Reut Shalgi,Atar Liran,Gilad Landan,Katya Korotayev,Giang Nguyen,Espen Enerly,Hilde Johnsen,Yosef Buganim,Hilla Solomon,Ido Goldstein,Shalom Madar,Naomi Goldfinger,Anne Lise Børresen-Dale,Doron Ginsberg,Curtis C. Harris,Yitzhak Pilpel,Moshe Oren,Varda Rotter +18 more
TL;DR: It is shown that, similarly to p53 inactivation, overexpression of representative miRNAs promotes proliferation and delays senescence, manifesting the detrimental phenotypic consequence of perturbations in this circuit.
Journal ArticleDOI
Integrated molecular profiles of invasive breast tumors and ductal carcinoma in situ (DCIS) reveal differential vascular and interleukin signaling
Vessela N. Kristensen,Charles J. Vaske,Josie Ursini-Siegel,Peter Van Loo,Peter Van Loo,Silje H. Nordgard,Ravi Sachidanandam,Therese Sørlie,Fredrik Wärnberg,Vilde D. Haakensen,Åslaug Helland,Bjørn Naume,Charles M. Perou,David Haussler,Olga G. Troyanskaya,Anne Lise Børresen-Dale +15 more
TL;DR: It is demonstrated that by means of a pathway-based modeling methodology (PARADIGM) integrating different layers of molecular data from whole-tumor samples, this work can stratify immune signatures that predict patient survival.
Journal ArticleDOI
Improving breast cancer survival analysis through competition-based multidimensional modeling
Erhan Bilal,Janusz Dutkowski,Justin Guinney,In Sock Jang,Benjamin A. Logsdon,Benjamin A. Logsdon,Gaurav Pandey,Benjamin A. Sauerwine,Yishai Shimoni,Hans Kristian Moen Vollan,Hans Kristian Moen Vollan,Hans Kristian Moen Vollan,Brigham H. Mecham,Oscar M. Rueda,Oscar M. Rueda,Jörg Tost,Christina Curtis,Mariano J. Alvarez,Vessela N. Kristensen,Samuel Aparicio,Anne Lise Børresen-Dale,Carlos Caldas,Andrea Califano,Stephen H. Friend,Trey Ideker,Eric E. Schadt,Gustavo Stolovitzky,Adam A. Margolin +27 more
TL;DR: It is found that machine learning methods combined with molecular features selected based on expert prior knowledge can improve survival predictions compared to current best-in-class methodologies and that ensemble models trained across multiple user submissions systematically outperform individual models within the ensemble.