Cancer Management and Research
Volume 14, 2022 - Issue
Open access
245
Views
0
CrossRef citations to date
0
Altmetric
Original Research
Combination of Estrogen Receptor Alpha and Histological Type Helps to Predict Lymph Node Metastasis in Patients with Stage IA2 to IIA2 Cervical Cancer
Yumin Ke1 Department of Obstetrics and Gynecology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, 362000, People’s Republic of ChinaView further author information
, Shuiling Zu2 Nursing Department, The Third Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, 350100, People’s Republic of ChinaView further author information
, Lijun Chen3 Department of Gynecological Oncology, Fujian Cancer Hospital, Fujian Medical University Cancer Hospital, Fuzhou, 350014, People’s Republic of ChinaView further author information
, Meizhi Liu4 Department of Gynecology, The Third Affiliated People’s Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, 350100, People’s Republic of ChinaView further author information
, Haijun Yang5 Department of Pathology, The Anyang Tumor Hospital, Anyang, 455000, People’s Republic of ChinaView further author information
, Fuqiang Wang5 Department of Pathology, The Anyang Tumor Hospital, Anyang, 455000, People’s Republic of ChinaView further author information
, Huanhuan Zheng6 Department of Endocrinology, Ji’an Central People’s Hospital, Ji’an, 343000, People’s Republic of ChinaView further author information
& Fangjie He7 Department of Obstetrics and Gynecology, The First People’s Hospital of Foshan, Foshan, 528000, People’s Republic of China;8 State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People's Republic of ChinaCorrespondence[email protected] [email protected]
View further author information
show allView further author information
Pages 317-325
|
Published online: 26 Jan 2022
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.