作者
Tathiane M Malta, Artem Sokolov, Andrew J Gentles, Tomasz Burzykowski, Laila Poisson, John N Weinstein, Bożena Kamińska, Joerg Huelsken, Larsson Omberg, Olivier Gevaert, Antonio Colaprico, Patrycja Czerwińska, Sylwia Mazurek, Lopa Mishra, Holger Heyn, Alex Krasnitz, Andrew K Godwin, Alexander J Lazar, Samantha J Caesar-Johnson, John A Demchok, Ina Felau, Melpomeni Kasapi, Martin L Ferguson, Carolyn M Hutter, Heidi J Sofia, Roy Tarnuzzer, Zhining Wang, Liming Yang, Jean C Zenklusen, Jiashan Julia Zhang, Sudha Chudamani, Jia Liu, Laxmi Lolla, Rashi Naresh, Todd Pihl, Qiang Sun, Yunhu Wan, Ye Wu, Juok Cho, Timothy DeFreitas, Scott Frazer, Nils Gehlenborg, Gad Getz, David I Heiman, Jaegil Kim, Michael S Lawrence, Pei Lin, Sam Meier, Michael S Noble, Gordon Saksena, Doug Voet, Hailei Zhang, Brady Bernard, Nyasha Chambwe, Varsha Dhankani, Theo Knijnenburg, Roger Kramer, Kalle Leinonen, Yuexin Liu, Michael Miller, Sheila Reynolds, Ilya Shmulevich, Vesteinn Thorsson, Wei Zhang, Rehan Akbani, Bradley M Broom, Apurva M Hegde, Zhenlin Ju, Rupa S Kanchi, Anil Korkut, Jun Li, Han Liang, Shiyun Ling, Wenbin Liu, Yiling Lu, Gordon B Mills, Kwok-Shing Ng, Arvind Rao, Michael Ryan, Jing Wang, Jiexin Zhang, Adam Abeshouse, Joshua Armenia, Debyani Chakravarty, Walid K Chatila, Ino de Bruijn, Jianjiong Gao, Benjamin E Gross, Zachary J Heins, Ritika Kundra, Konnor La, Marc Ladanyi, Augustin Luna, Moriah G Nissan, Angelica Ochoa, Sarah M Phillips, Ed Reznik, Francisco Sanchez-Vega, Chris Sander, Nikolaus Schultz, Robert Sheridan, S Onur Sumer, Yichao Sun, Barry S Taylor, Jioajiao Wang, Hongxin Zhang, Pavana Anur, Myron Peto, Paul Spellman, Christopher Benz, Joshua M Stuart, Christopher K Wong, Christina Yau, D Neil Hayes, Joel S Parker, Matthew D Wilkerson, Adrian Ally, Miruna Balasundaram, Reanne Bowlby, Denise Brooks, Rebecca Carlsen, Eric Chuah, Noreen Dhalla, Robert Holt, Steven JM Jones, Katayoon Kasaian, Darlene Lee, Yussanne Ma, Marco A Marra, Michael Mayo, Richard A Moore, Andrew J Mungall, Karen Mungall, A Gordon Robertson, Sara Sadeghi, Jacqueline E Schein, Payal Sipahimalani, Angela Tam, Nina Thiessen, Kane Tse, Tina Wong, Ashton C Berger, Rameen Beroukhim, Andrew D Cherniack, Carrie Cibulskis, Stacey B Gabriel, Galen F Gao, Gavin Ha, Matthew Meyerson, Steven E Schumacher
发表日期
2018/4/5
期刊
Cell
卷号
173
期号
2
页码范围
338-354. e15
出版商
Elsevier
简介
Cancer progression involves the gradual loss of a differentiated phenotype and acquisition of progenitor and stem-cell-like features. Here, we provide novel stemness indices for assessing the degree of oncogenic dedifferentiation. We used an innovative one-class logistic regression (OCLR) machine-learning algorithm to extract transcriptomic and epigenetic feature sets derived from non-transformed pluripotent stem cells and their differentiated progeny. Using OCLR, we were able to identify previously undiscovered biological mechanisms associated with the dedifferentiated oncogenic state. Analyses of the tumor microenvironment revealed unanticipated correlation of cancer stemness with immune checkpoint expression and infiltrating immune cells. We found that the dedifferentiated oncogenic phenotype was generally most prominent in metastatic tumors. Application of our stemness indices to single-cell data …
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TM Malta, A Sokolov, AJ Gentles, T Burzykowski… - Cell, 2018