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Published on: August 28, 2018
Understanding the immune microenvironment of ovarian cancer
Meifeng Shen1, Shuni Zhang2, Yijun Zhu3
1Department of Obstetrics and Gynecology, Hangzhou Xiaoshan Second People's Hospital, Hangzhou, China.
Abstract:
Ovarian cancer remains the most lethal gynecological malignancy, yet immune checkpoint inhibitors (ICIs) demonstrate limited clinical efficacy due to profound CD8+- T cell exhaustion within a highly heterogeneous tumor immune microenvironment (TME). Single-cell RNA sequencing (scRNA-seq) has revolutionized our understanding of this complex ecosystem by resolving rare immune subsets, reconstructing lineage trajectories, and mapping dynamic intercellular signaling networks. Emerging single-cell atlases reveal that terminally exhausted T cells evolve from plastic progenitor populations, notably GZMK+- subsets, while ascitic fluid functions as a distinct immunomodulatory reservoir that continuously shapes intratumoral immune dynamics. Furthermore, multi-compartment transcriptomic profiling uncovers myeloid-lymphoid crosstalk that actively sustains localized immunosuppression and drives therapeutic resistance. These high-resolution molecular insights are increasingly leveraged to accurately predict ICI responsiveness, rationally design novel combinatorial regimens, and strategically guide next-generation adoptive cellular therapies. This review summarizes the scRNA-seq-driven advances in characterizing the ovarian cancer TME, emphasizing how single-cell resolution dismantles immunosuppressive barriers to T cell reinvigoration and establishes a robust translational framework for precision immunotherapy.
Insights
Single-cell RNA sequencing reveals ovarian cancer
Area of Science:
- Immunology
- Oncology
- Genomics
Background:
- Ovarian cancer is a lethal gynecological malignancy with limited response to immune checkpoint inhibitors (ICIs).
- Tumor immune microenvironment (TME) complexity and CD8+ T cell exhaustion hinder ICI efficacy.
- Single-cell RNA sequencing (scRNA-seq) offers high-resolution insights into the TME.
Purpose of the Study:
- To review advances in characterizing the ovarian cancer TME using scRNA-seq.
- To highlight how single-cell resolution can overcome immunosuppressive barriers.
- To establish a framework for precision immunotherapy in ovarian cancer.
Main Methods:
- Utilizing scRNA-seq to analyze the heterogeneous ovarian cancer TME.
- Investigating immune cell subsets, lineage trajectories, and intercellular signaling.
- Employing multi-compartment transcriptomic profiling.
Main Results:
- scRNA-seq identifies plastic progenitor populations (GZMK+ subsets) evolving into exhausted T cells.
- Ascitic fluid acts as an immunomodulatory reservoir shaping TME dynamics.
- Myeloid-lymphoid crosstalk sustains immunosuppression and drives therapeutic resistance.
Conclusions:
- Single-cell resolution provides critical insights into T cell exhaustion and TME regulation.
- These findings facilitate prediction of ICI response and design of combination therapies.
- scRNA-seq establishes a translational framework for advancing ovarian cancer immunotherapy.
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