GYGuizhu Yang

Guizhu Yang

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

The organizations/institutes from the scholar's latest article


Guizhu Yang has a total of 21 co-authors. Here are the top co-authors by number of shared publications:

  • Chong Wang

    Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China

    2 shared publications
  • Rui Wang

    Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China

    2 shared publications
  • Shuyang Sun

    Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China

    2 shared publications
  • Guopei Zhu

    Department of Oral and Maxillofacial Head & Neck Oncology, Shanghai Ninth People’s Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai, China

    1 shared publication
  • Houyu Ju

    Department of Oral Maxillofacial‐Head and Neck Oncology, Shanghai Ninth People's Hospital Shanghai Jiao Tong University School of Medicine Shanghai China

    1 shared publication
  • Jiamin Gao

    Department of Oral and Maxillofacial-Head Neck Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China

    1 shared publication

Latest Publications

  • Open Access

    A human mucosal melanoma organoid platform for modeling tumor heterogeneity and exploring immunotherapy combination options

    by Lulu Sun, Xindan Kang, Houyu Ju, Chong Wang, Guizhu Yang, Rui Wang, Shuyang Sun

    Mucosal melanoma (MM), an aggressive rare subtype of melanoma, is distinct from cutaneous melanoma and has poor prognoses. We addressed the lack of cell models for MM by establishing 30 organoids of human oral MM (OMM), which retained major histopathological and functional features of parental tumors. Organoid groups derived from chronologically or intratumorally distinct lesions within the same individual displayed heterogeneous genetics, expression profiles, and drug responses, indicating rapid tumor evolution and poor clinical response. Furthermore, transcriptome analysis revealed receptor tyrosine kinases (RTKs) signaling, particularly NGFR , a nerve growth factor receptor, was significantly up-regulated in OMMs and organoids from patients resistant to anti–programmed cell death protein 1 (anti–PD-1) therapy. Combining anti–PD-1 with anlotinib (a phase 2 multitarget RTK inhibitor for OMM) or NGFR knockdown enhanced the effective activity of immune cells in organoid–immune cell coculture systems. Together, our study suggested that OMM organoids serve as faithful models for exploring tumor evolution and immunotherapy combination strategies.


  • Pharmacogenomic landscape of head and neck squamous cell carcinoma informs precision oncology therapy

    by Ziyue Gu, Yanli Yao, Guizhu Yang, Guopei Zhu, Zhen Tian, Rui Wang, Qi Wu, Yujue Wang, Yaping Wu, Lan Chen, et al.

    Head and neck squamous cell carcinoma (HNSCC) is a common and frequently lethal cancer with few therapeutic options. In particular, there are few effective targeted therapies. Development of highly effective therapeutic strategies tailored to patients with HNSCC remains a pressing challenge. To address this, we present a pharmacogenomic study to facilitate precision treatments for patients with HNSCC. We established a large collection of 56 HNSCC patient-derived cells (PDCs), which recapitulated the molecular features of the original tumors. Pharmacological assessment of HNSCCs was conducted using a three-tiered high-throughput drug screening using 2248 compounds across these PDC models and an additional 18 immortalized cell lines. We integrated genomic, transcriptomic, and pharmacological analysis to predict biomarkers, gene-drug associations, and validated biomarkers. These results supported drug repurposing for multiple HNSCC subtypes, including the JAK2 inhibitor fedratinib, for low KRT18 –expressing HNSCC cases, and the topoisomerase inhibitor mitoxantrone, for IL6R -activated HNSCC cases. Our results demonstrated concordance between susceptibility predictions from the PDCs and the matched patients’ responses to standard clinical medication. Moreover, we identified and experimentally confirmed that high expression of ITGB1 elicited therapeutic resistance to docetaxel and high SOD1 expression conferred resistance to afatinib. We further validated ITGB1 as a predictive biomarker for the efficacy of docetaxel therapy in a phase 2 clinical trial. In summary, our study shows that this HNSCC cell resource, as well as the resulting pharmacogenomic profiles, is effective for biomarker discovery and for guiding precision oncology therapies in HNSCCs.