Open access
171
Views
6
CrossRef citations to date
0
Altmetric
Original Research
Identification of a Lipid Metabolism-Associated Gene Signature Predicting Survival in Breast Cancer
Mingkai Gong1 Center of Diagnosis and Treatment of Breast Disease, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People’s Republic of China
, Xiangping Liu2 Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People’s Republic of China
, Wu Yang3 Department of International Medicine, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People’s Republic of China
, Hongming Song1 Center of Diagnosis and Treatment of Breast Disease, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People’s Republic of China
https://orcid.org/0000-0002-1282-6016
Xian Zhao1 Center of Diagnosis and Treatment of Breast Disease, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People’s Republic of China
, Xiancheng Ai1 Center of Diagnosis and Treatment of Breast Disease, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People’s Republic of China
, Shuo Wang1 Center of Diagnosis and Treatment of Breast Disease, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People’s Republic of China
& Haibo Wang1 Center of Diagnosis and Treatment of Breast Disease, The Affiliated Hospital of Qingdao University, Qingdao, 266003, People’s Republic of ChinaCorrespondence[email protected]
show all
Pages 9503-9513
|
Published online: 09 Dec 2021
Reprints and Permissions
Permission is granted subject to the terms of the License under which the work was published. Permission will be required if your reuse is not covered by the terms of the License.
To request a reprint or commercial or derivative permissions for this article, please click on the relevant link below.
For more information please visit our Permissions help page.
Related research
People also read lists articles that other readers of this article have read.
Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.
Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.