Shi Zhifeng Laboratory
Neuro-oncology and Neuroscience
Our Team publications

About us

Our research interests and aims

Gliomas exhibit remarkable genetic heterogeneity, with tumors of the same histological diagnosis often having vastly different clinical outcomes. As the first cancer type selected for both the “The Cancer Genome Project” and “Precision Medicine” initiatives, molecular diagnostics are considered essential for elucidating the genetic heterogeneity of gliomas and are key to improving treatment efficacy.

Our research group has long been dedicated to the molecular pathology of gliomas. We focus on establishing molecular diagnostic systems and developing widely applicable technologies. Our aim is to provide theoretical and technical support for improving glioma diagnosis and treatment standards, as well as formulating strategies for early detection and intervention.

Team

Members of Shi Zhifeng Laboratory

principal investigator

Professor 1

doctoral student

Student 1

Huihui Chai

Student 2

Houshi Xu

Student 3

Yue Wang

Student 3

Jiawen Chen

Student 4

Shan Jiang

Student 3

Maoyuan Sun

Student 1

Zhen Li

Graduate Students

Student 1

Ruize Zhu

Student 2

Beining Liu

Student 1

Yanlin Teng

Student 1

Weiqiu Ping

Student 1

Yulai Zeng

Student 1

Songlin Yan

undergraduate students

Student 1

Lina Akmal Fouad Abdelhamid Soliman

publications

Our researches and patents

Li H, Cao Y, Ye J, Yang Z, Chen Q, Liu X, Zhang B, Qiao J, Tang Q, Yang H, Li J, Shi ZF*, Mao Y,Engineering brain-derived neurotrophic factor mRNA delivery for the treatment of Alzheimer’s disease, Chemical Engineering Journal, Volume 466, 2023, 143152

Wu G, Shi ZF*, Li Z, Xie X, Tang Q, Zhu J, Yang Z, Wang Y, Wu J, Yu J. Study of radiochemotherapy decision-making for young high-risk low-grade glioma patients using a macroscopic and microscopic combined radiomics model. Eur Radiol. 2023 Oct 27.

Li YQ, Shi ZF*, Shang LY, Tao Q, Tang QS, Krause HJ, Yang SW, Ding GQ, Dong H. Graphene quantum dots-based magnetic relaxation switch involving magnetic separation for enhanced performances of endoglin detection using ultra-low-field nuclear magnetic resonance relaxometry, Sensors and Actuators B: Chemical, Volume 380, 2023, 133389.

Ng HK, Li KK, Chung NY, Chan JY, Poon MF, Wong QH, Kwan JS, Poon WS, Chen H, Chan DT, Shi ZF*, Mao Y. Molecular landscapes of longitudinal NF2/22q and non-NF2/22q meningiomas show different life histories. Brain Pathol. 2022 Sep 27:e13120.

Liu EM, Shi ZF*, Li KK, Malta TM, Chung NY, Chen H, Chan JY, Poon MF, Kwan JS, Chan DT, Noushmehr H, Mao Y, Ng HK. Molecular landscape of IDH-wild type, pTERT-wild type adult glioblastomas. Brain Pathol. 2022 Nov;32(6):e13107.

Recent Highlights

Learn about our latest research
Highlight 4

Integrating Multiplex Immunohistochemistry and Machine Learning for Glioma Subtyping and Prognosis Prediction

April 22,2025

Xu H, Fan Z, Jiang S, Sun M, Chai H, Zhu R, Liu X, Wang Y, Chen J, Wei J, Mao Y, Shi Z. The mIHC-based framework enables rapid glioma classification, facilitating tailored treatment strategies and accurate prognosis prediction, potentially improving patient management and outcomes. Read more in MedComm

Highlight 2

Molecular landscapes of longitudinal NF2/22q and non-NF2/22qmeningiomas

May 23, 2023

Ng HK, Li KK, Chung NY, Chan JY, Poon MF, Wong QH, Kwan JS, Poon WS, Chen H, Chan DT, Shi ZF, Mao Y. Molecular landscapes of longitudinal NF2/22q and non-NF2/22q meningiomas show different life histories. Read more in Brain Pathology

Highlight 3

radiochemotherapy decision-making model for young high-risk low-grade glioma patients

May 20, 2024

Wu G, Shi Z, Li Z, Xie X, Tang Q, Zhu J, Yang Z, Wang Y, Wu J, Yu J. Study of radiochemotherapy decision-making for young high-risk low-grade glioma patients using a macroscopic and microscopic combined radiomics model. Read more in European Radiology

Highlight 1

Intraoperative molecular diagnosis of glioma through combination of radiofrequency signals from ultrasound and deep learning

December 2,2023

Xie X, Shen C, Zhang X, Wu G, Yang B, Qi Z, Tang Q, Wang Y, Ding H, Shi Z, Yu J. Rapid intraoperative multi-molecular diagnosis of glioma with ultrasound radio frequency signals and deep learning. Read more in EBioMedicine

source

Laboratory resources and tools

mIHC calculater

A novel framework for glioma subtyping based on multiplexed immunohistochemistry (mIHC)

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PRIMEG

Atlas of Primary and Recurrent Immune MicroEnvironment of Glioma (single-cell portal)

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HKSBC

Hong Kong & Shanghai Brain Consortium led by the brain tumor researchers (HKSBC datasets)

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our events

  • March 2011

    An Agency is Born

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  • December 2012

    Transition to Full Service

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  • July 2014

    Phase Two Expansion

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  • Be Part
    Of Our
    Story!

Contact Us

Email

shizhifeng@fudan.edu.cn

Phone

+123 456 7890

Address

No. 12 Middle Urumqi Road, Jing ‘an District, Shanghai

Website

http://www.szflab.site