Constructing a prognostic signature of tumor-associated B lymphocytes in hepatocellular carcinoma via machine learning integration

Shengjie Zhang; Jun Qian; Yanhua Chen; Li Jin

doi:10.1038/s41598-025-31890-6

Constructing a prognostic signature of tumor-associated B lymphocytes in hepatocellular carcinoma via machine learning integration

S Shengjie Zhang (Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics) J Jun Qian (State Key Laboratory of Extreme Photonics and Instrumentation, International Research Center for Advanced Photonics, Centre for Optical and Electromagnetic Research, College of Optical Science and Engineering) Y Yanhua Chen (The Center for Cancer Research, School of Integrative Medicine, Shanghai University of Traditional Chinese Medicine) L Li Jin (SINOPEC (Beijing) Research Institute of Chemical Industry Co., Ltd.)

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Article Details

Journal Scientific Reports

Volume / Issue Vol. 16, Issue 1

Published December 14, 2025

DOI 10.1038/s41598-025-31890-6

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (4)

S

Shengjie Zhang

Key Laboratory of Interfacial Physics and Technology, Shanghai Institute of Applied Physics

J

Jun Qian

State Key Laboratory of Extreme Photonics and Instrumentation, International Research Center for Advanced Photonics, Centre for Optical and Electromagnetic Research, College of Optical Science and Engineering

Y

Yanhua Chen

The Center for Cancer Research, School of Integrative Medicine, Shanghai University of Traditional Chinese Medicine

L

Li Jin

SINOPEC (Beijing) Research Institute of Chemical Industry Co., Ltd.

Constructing a prognostic signature of tumor-associated B lymphocytes in hepatocellular carcinoma via machine learning integration

Article Details

Journal Info

Authors (4)

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