Integrative Machine Learning Approach for Predicting Resistance to First-Generation Receptor Ligands in Acromegaly.

Journal: The Journal of clinical endocrinology and metabolism
Published Date: Jun 26, 2025

Abstract

CONTEXT: Acromegaly, caused by excess growth hormone (GH) and insulin-like growth factor-1 (IGF-1) due to pituitary adenomas, often necessitates first-generation somatostatin receptor ligands (fgSRLs) therapy when surgery fails. However, responses to fgSRLs therapy vary widely.

Authors

  • Wei Lin
    Department of Geriatric Rehabilitation, Jiangbin Hospital, Nanning, China.
  • Songchang Shi
    Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Yuanyuan Zheng
    State Key Laboratory of Chemical Biology and Drug Discovery, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University Hunghom Kowloon Hong Kong P. R. China kwok-yin.wong@polyu.edu.hk.
  • Edward Laws
    Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts (T.S., E.L.).
  • Timothy Smith
    Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
  • Le Min
    Division of Endocrinology, Diabetes and hypertension, Brigham and Women's hospital, Harvard Medical School, Boston, MA, USA.

Keywords

No keywords available for this article.

External Resources

Popular Topics
Recent Journals