Machine learning-based dynamic CEA trajectory and prognosis in gastric cancer

Yonghe Chen; Dan Liu; Zhong Lin Wang; Yi Lin; Xiaohan Jiang; Junjie Liu; Lei Lian

doi:10.1186/s12885-025-14623-w

Abstract

1 min read

Higher CEA trajectories are associated with a worse prognosis, highlighting the importance of enhanced monitoring for this group of patients.

Related publications

Article2025

Carcinoembryonic antigen trajectory predicts pathological complete response in advanced gastric cancer after neoadjuvant chemotherapy

Yonghe Chen, Dan Liu, Kaikai Wei, Yi Lin, Zhong Lin Wang, Qian Sun, Huashe Wang, Junsheng Peng, Lei Lian

Article2010

Poor Long-Term Prognosis in Mixed Bipolar Patients

Ana González‐Pinto, Sara Barbeito, Marta Alonso, Susana Alberich, Karim Haidar, Eduard Vieta, Rafael Tabarés‐Seisdedos, Eric P. Zorrilla, Maria Asun González-Pinto, Purificación López‐Mahía

Article1997

Anti-carcinoembryonic antigen antibodies versus somatostatin analogs in the detection of metastatic medullary thyroid carcinoma

Thomas M. Behr, S. Gratz, P. M. Markus, Robert M. Dunn, M. Hüfner, Alfred Schauer, Manfred M. Fischer, D. L. Munz, H. Becker, Wolfgang Becker

Cancer

Article1997

Anti‐carcinoembryonic antigen antibodies versus somatostatin analogs in the detection of metastatic medullary thyroid carcinoma

Thomas M. Behr, S. Gratz, P. M. Markus, Robert M. Dunn, M. Hüfner, A. Schauer, Manfred M. Fischer, D. L. Munz, H. Becker, W. Becker