Investigator

Chenqi Xu

Deputy Director · National Center for Protein Science, Shanghai

About

CXChenqi Xu
Papers(1)
Harnessing lipid-driv…
Collaborators(5)
Daniel SchraivogelFrederik MarméIngrid FlemingLaurence ZitvogelSven Zukunft
Institutions(5)
Unknown InstitutionEuropean Molecular Bi…Arbeitsgemeinschaft G…Goethe-University Fra…Gustave Roussy

Papers

Harnessing lipid-driven immunometabolic pathways in omental metastases to enhance immunotherapy in patients with ovarian cancer

Abstract Immunotherapy with immune checkpoint blockade (ICB) in epithelial ovarian carcinoma (EOC) shows limited clinical benefit only for a small subset of patients. Overall response rates are low, so that overcoming immunotherapy resistance and improved stratification are key. In this study, we investigated the immunometabolic landscape of EOC with a focus on omental metastases, identifying lipid-laden macrophages as central elements for actionable therapeutic vulnerabilities and giving rise to biomarkers for improved patient stratification. Using patient-derived explants, we demonstrated a functional dichotomy inside the typically lipid-rich microenvironment of omental metastases: augmented maintenance of effector T cell function, while lipid uptake and processing by tumor-associated macrophages (TAMs) induces oxidative stress–dependent signaling programs, which drive macrophage dysfunction and immune suppression. Pharmacological modulation of lipid-driven signaling pathways through CCR5 inhibition (inflammation modulation through maraviroc) or blockade of the lipid scavenger receptor CD36 reprograms TAMs, restores T cell activity, and enhances antitumor immune responses within lipid-rich tumor niches. Mechanistically, studies in humanized mouse models reveal that maraviroc-mediated CCR5 inhibition induces transcriptional programs associated with immune activation in stressed, lipid-laden human TAMs. Consistent with these mechanistic insights, we demonstrated that the specific immunometabolic niche in omental metastases is clinically associated with responsiveness to ICB. We propose a non-invasive radiomics and machine-learning–based analysis of imaging data to assess omental involvement for patient stratification.

53Works
1Papers
5Collaborators

Positions

2017–

Deputy Director

National Center for Protein Science, Shanghai

2015–

Assistant Director

Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences

2015–

adjutant professor

ShanghaiTech University

2009–

Principle Invesitgator

Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences

2009–

instructor

Dana Farber Cancer Institute, Harvard Medical School

Education

2009

postdoctoral fellow

Dana Farber Cancer Institute, Harvard Medical School

2004

Ph.D.

Institute of Biochemistry and Cell Biology, Chinese Academy of Sciences

Country

CN

Keywords
T cellmetabolismsignaling