Bishao Sun on Muck Rack

Bishao Sun

As seen in: Frontiers, Frontiers in Immunology
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Bishao

Contact Bishao, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Case report: Renal clear cell carcinoma presenting with metastatic nodules in the male breast: a case and literature review

|
By Jia Li, Jiang Zhao, Ji Zheng, Yangcai Wang, Zhenqiang Fang, Bishao Sun
| Frontiers in Immunology
Abstract Metastasis of renal cell carcinoma (RCC) most frequently occurs in the lungs, bones, liver, and brain. Breast metastasis from RCC is exceedingly rare, particularly in male patients presenting with a breast mass as the initial manifestation. We report a 54-year-old man who presented with a breast nodule that, upon excision, was pathologically confirmed as metastatic Clear cell RCC. Abdominal computed tomography (CT) revealed a primary lesion in the left kidney.
Open in Who Shared Issue with article?

A novel prognostic signature based on mitochondrial permeability transition-driven necrosis genes for biochemical recurrence prediction in prostate cancer

|
By Xing Luo, ZeYu Huang, Ming Deng, Bishao Sun, Jingzheng Zhu, Yu Chen, Shuai Su, Jiang Zhao, Ji Zheng, Jinggui Liu
| Frontiers
Abstract Background: Mitochondrial permeability transition-driven necrosis (MPT-DN) is a therapeutic target and critical driver of prostate adenocarcinoma (PRAD) progression. We investigated MPT-DN-related prognostic features in PRAD. Methods: PRAD transcriptomics and MPT-DN-RGs were sourced from public databases. WGCNA, differential expression, Cox regression, and machine learning identified BCR-FS prognostic genes. These genes built a risk model, revealing independent prognostic factors.
Open in Who Shared Issue with article?
See all 2 articles
 •  Privacy  •  Terms  •  Security and Legal  •   •   •   • 

© 2026 Muck Rack

SOC 2® Certified