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Single-cell technologies and spatial transcriptomics: decoding immune low - response states in endometrial cancer.

Yumeng Li¹, Hua Qiu², Zhenzhen Zhao¹

¹The First Clinical Medical College of Shandong University of Traditional Chinese Medicine, Jinan, China.

Frontiers in Immunology

|July 17, 2025

Summary

New biomarker strategies using single-cell sequencing and spatial transcriptomics (ST) can improve immunotherapy effectiveness for endometrial cancer patients. These advanced techniques offer hope for better treatment outcomes and personalized medicine approaches.

Keywords:

endometrial cancer immunotherapy single-cell sequencing spatial transcriptomics tumor microenvironment (TME)

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Area of Science:

Oncology
Immunology
Genomics

Background:

Endometrial cancer affects many women globally, with immunotherapy offering hope for advanced or relapsed cases.
A significant challenge in immunotherapy is the lack of reliable predictive biomarkers.
The tumor microenvironment (TME) in endometrial cancer is often immunosuppressive, correlating with poor clinical outcomes.

Purpose of the Study:

To explore the application of single-cell sequencing and spatial transcriptomics (ST) for identifying predictive biomarkers in endometrial cancer.
To investigate how these technologies can overcome barriers to effective immunotherapy.
To enhance the development of novel immunotherapies and diagnostic tools.

Main Methods:

Utilizing single-cell sequencing to analyze cellular heterogeneity and identify therapeutic targets.
Employing spatial transcriptomics (ST) to understand tumor spatial organization and its impact on immunotherapy effectiveness.
Integrating multi-omics data from these technologies for comprehensive analysis.

Main Results:

Single-cell sequencing aids in identifying potential therapeutic targets and predicting treatment responses.
ST helps determine biomarkers by capturing the spatial organization of tumors.
Combined approaches facilitate integrated multi-omics analysis for improved prognostication and diagnosis.

Conclusions:

Combined single-cell sequencing and ST offer a powerful approach to develop predictive biomarkers for endometrial cancer immunotherapy.
These integrated methods can help clinicians improve outcomes for patients unresponsive to current treatments.
Addressing moral and legal issues is crucial for the clinical implementation of these advanced technologies.