Anoikis-related signature in liver hepatocellular carcinoma defines the YBX1/SPP1 axis by machine learning strategies and valid experiments

Ying Ma; Xingguo She; Jie Zhao; Shu Liu; Cai Li; Qiang Wang

doi:10.1002/jgm.3516

Anoikis-related signature in liver hepatocellular carcinoma defines the YBX1/SPP1 axis by machine learning strategies and valid experiments

J Gene Med. 2023 Oct;25(10):e3516. doi: 10.1002/jgm.3516. Epub 2023 Apr 29.

Authors

Ying Ma^{1

2}, Xingguo She^{1

2}, Jie Zhao³, Shu Liu^{1

2}, Cai Li^{1

2}, Qiang Wang^{1

2}

Affiliations

¹ The Transplantation Center of the Third Xiangya Hospital, Central South University, Changsha, China.
² Engineering and Technology Research Center for Transplantation Medicine of National Health Comission, Changsha, China.
³ Department of Liver Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

PMID: 37118998
DOI: 10.1002/jgm.3516

Abstract

Background: Liver hepatocellular carcinoma (LIHC) remains a malignant malignancy with a low cure rate. Anoikis is a newly recognized cancer hallmark. However, an Anoikis-related model has not been clarified in LIHC.

Methods: The Anoikis-related score in the present study was created using Survival Random Forest and least absolute shrinkage and selection operator (LASSO) machine learning algorithms. Anoikis-related scores with respect to mutation analysis, immunological analysis, function annotation, and medication prediction were all thoroughly investigated.

Results: The Anoikis-related score accurately predicted the patients' immunological activity, altered genes, and medication sensitivity. SPP1 immunological analysis, function annotation, medication prediction, and immunotherapy prediction were systematically investigated. SPP1 may effectively predict the outcomes of immunotherapy. SPP1 was revealed to be a mediator of LIHC cell proliferation and migration. A putative axis in LIHC was YBX1/SPP1.

Conclusions: Clinical care and the treatment plan for patients with LIHC were anticipated to benefit significantly from the established Anoikis-related score.

Keywords: Anoikis; LIHC; immunotherapy; machine learning; tumor microenvironment.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Anoikis / genetics
Carcinoma, Hepatocellular* / genetics
Humans
Liver Neoplasms* / genetics
Machine Learning
Osteopontin
Y-Box-Binding Protein 1 / genetics

Substances

YBX1 protein, human
Y-Box-Binding Protein 1
SPP1 protein, human
Osteopontin