TY  -  
T1  - Multi-Omics Marker Analysis Enables Early Prediction of Breast Tumor Progression 
SN  -  /  
UR  - http://hdl.handle.net/10138/332492 
T3  -  
A1  - Xu, Haifeng; Lien, Tonje; Bergholtz, Helga; Fleischer, Thomas; Djerroudi, Lounes; Vincent-Salomon, Anne; Sorlie, Therese; Aittokallio, Tero 
A2  -  
PB  -  
Y1  - 2021 
LA  - eng 
AB  - Ductal carcinoma in situ (DCIS) is a preinvasive form of breast cancer with a highly variable potential of becoming invasive and affecting mortality of the patients. Due to the lack of accurate markers of disease progression, many women with detected DCIS are currently overtreated. To distinguish those DCIS cases who are likely to require therapy from those who should be left untreated, there is a need for robust and predictive biomarkers extracted from molecular or genetic profiles. We develope... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - risk signature; breast cancer; disease progression; early detection; machine learning; CARCINOMA IN-SITU; DUCTAL CARCINOMA; LOCAL RECURRENCE; FOLLOW-UP; CANCER; EXPRESSION; GRADE; BIOPSY; MODELS; CELLS; 1184 Genetics, developmental biology, physiology 
N1  -   
PP  -  
ER  -