Machine learning-based in-silico analysis identifies signatures of lysyl oxidases for prognostic and therapeutic response prediction in cancer.

Journal: Cell communication and signaling : CCS
PMID: 40186284

Abstract

BACKGROUND: Lysyl oxidases (LOX/LOXL1-4) are crucial for cancer progression, yet their transcriptional regulation, potential therapeutic targeting, prognostic value and involvement in immune regulation remain poorly understood. This study comprehensively evaluates LOX/LOXL expression in cancer and highlights cancer types where targeting these enzymes and developing LOX/LOXL-based prognostic models could have significant clinical relevance.

Authors

  • Qingyu Xu
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany. qingyuxu2@163.com.
  • Ling Ma
    Department of Radiology and Imaging Sciences, Emory University School of Medicine, Atlanta, GA, USA.
  • Alexander Streuer
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Eva Altrock
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Nanni Schmitt
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Felicitas Rapp
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Alessa Klär
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Verena Nowak
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Julia Obländer
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Nadine Weimer
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Iris Palme
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Melda Göl
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Hong-Hu Zhu
    Department of Hematology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China.
  • Wolf-Karsten Hofmann
    Department of Hematology and Oncology, University Hospital Mannheim, Heidelberg University, Heidelberg, Germany.
  • Daniel Nowak
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.
  • Vladimir Riabov
    Department of Hematology and Oncology, Medical Faculty Mannheim, Heidelberg University, Mannheim, 68169, Germany.

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