Development of machine learning-based malignant pericardial effusion-related model in breast cancer: Implications for clinical significance, tumor immune and drug-therapy-Reference-Cited by-同舟云学术

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Development of machine learning-based malignant pericardial effusion-related model in breast cancer: Implications for clinical significance, tumor immune and drug-therapy

Published:2024-03 Issue:5 Volume:10 Page:e27507
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Zhan Wendi,Hu Haihong,Hao Bo,Zhu Hongxia,Yan Ting,Zhang Jingdi,Wang Siyu,Liu Saiyang,Zhang Taolan

Funder

National Natural Science Foundation of China

Hunan Provincial Natural Science Foundation

Publisher

Elsevier BV

Reference70 articles.

1. SEC14L3 plays a tumor-suppressive role in breast cancer through a Wnt/beta-catenin-related way;Zhu;Exp. Cell Res.,2022

2. Breast cancer: current developments in molecular approaches to diagnosis and treatment;de la Mare;Recent Pat. Anti-Cancer Drug Discov.,2014

3. The biology of breast carcinoma;Keen;Cancer,2003

4. The influence of Modifiable factors on breast and prostate cancer risk and disease progression;Tan;Front. Physiol.,2022

5. Breast cancer: current perspectives on the disease status;Fahad Ullah;Adv. Exp. Med. Biol.,2019

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