» Articles » PMID: 32460812

Single-cell RNA Sequencing Reveals the Tumor Microenvironment and Facilitates Strategic Choices to Circumvent Treatment Failure in a Chemorefractory Bladder Cancer Patient

Overview
Journal Genome Med
Publisher Biomed Central
Specialty Genetics
Date 2020 May 29
PMID 32460812
Citations 82
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Tumor cell-intrinsic mechanisms and complex interactions with the tumor microenvironment contribute to therapeutic failure via tumor evolution. It may be possible to overcome treatment resistance by developing a personalized approach against relapsing cancers based on a comprehensive analysis of cell type-specific transcriptomic changes over the clinical course of the disease using single-cell RNA sequencing (scRNA-seq).

Methods: Here, we used scRNA-seq to depict the tumor landscape of a single case of chemo-resistant metastatic, muscle-invasive urothelial bladder cancer (MIUBC) addicted to an activating Harvey rat sarcoma viral oncogene homolog (HRAS) mutation. In order to analyze tumor evolution and microenvironmental changes upon treatment, we also applied scRNA-seq to the corresponding patient-derived xenograft (PDX) before and after treatment with tipifarnib, a HRAS-targeting agent under clinical evaluation.

Results: In the parallel analysis of the human MIUBC and the PDX, diverse stromal and immune cell populations recapitulated the cellular composition in the human and mouse tumor microenvironment. Treatment with tipifarnib showed dramatic anticancer effects but was unable to achieve a complete response. Importantly, the comparative scRNA-seq analysis between pre- and post-tipifarnib-treated PDX revealed the nature of tipifarnib-refractory tumor cells and the tumor-supporting microenvironment. Based on the upregulation of programmed death-ligand 1 (PD-L1) in surviving tumor cells, and the accumulation of multiple immune-suppressive subsets from post-tipifarnib-treated PDX, a PD-L1 inhibitor, atezolizumab, was clinically applied; this resulted in a favorable response from the patient with acquired resistance to tipifarnib.

Conclusion: We presented a single case report demonstrating the power of scRNA-seq for visualizing the tumor microenvironment and identifying molecular and cellular therapeutic targets in a treatment-refractory cancer patient.

Citing Articles

Combination therapy with Chicoric acid and PD-1/PD-L1 blockade improves the immunotherapy response in patient-derived ovarian cancer xenograft model.

Lan H, Zhu J, Hou H, Zhang C, Huo X, Zhang Y Cell Commun Signal. 2025; 23(1):137.

PMID: 40087780 DOI: 10.1186/s12964-025-02146-7.


Endothelial OX40 activation facilitates tumor cell escape from T cell surveillance through S1P/YAP-mediated angiogenesis.

He B, Zhao R, Zhang B, Pan H, Liu J, Huang L J Clin Invest. 2025; 135(5).

PMID: 40026246 PMC: 11870743. DOI: 10.1172/JCI186291.


Advancements in single-cell RNA sequencing and spatial transcriptomics: transforming biomedical research.

Molla Desta G, Birhanu A Acta Biochim Pol. 2025; 72:13922.

PMID: 39980637 PMC: 11835515. DOI: 10.3389/abp.2025.13922.


Leveraging Single-Cell Multi-Omics to Decode Tumor Microenvironment Diversity and Therapeutic Resistance.

Sabit H, Arneth B, Pawlik T, Abdel-Ghany S, Ghazy A, Abdelazeem R Pharmaceuticals (Basel). 2025; 18(1).

PMID: 39861138 PMC: 11768313. DOI: 10.3390/ph18010075.


AXL: shapers of tumor progression and immunosuppressive microenvironments.

Liu Y, Xu L, Dou Y, He Y Mol Cancer. 2025; 24(1):11.

PMID: 39799359 PMC: 11724481. DOI: 10.1186/s12943-024-02210-9.


References
1.
Boeva V, Popova T, Bleakley K, Chiche P, Cappo J, Schleiermacher G . Control-FREEC: a tool for assessing copy number and allelic content using next-generation sequencing data. Bioinformatics. 2011; 28(3):423-5. PMC: 3268243. DOI: 10.1093/bioinformatics/btr670. View

2.
Roupret M, Babjuk M, Comperat E, Zigeuner R, Sylvester R, Burger M . European Association of Urology Guidelines on Upper Urinary Tract Urothelial Carcinoma: 2017 Update. Eur Urol. 2017; 73(1):111-122. DOI: 10.1016/j.eururo.2017.07.036. View

3.
Li H, Courtois E, Sengupta D, Tan Y, Chen K, Goh J . Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors. Nat Genet. 2017; 49(5):708-718. DOI: 10.1038/ng.3818. View

4.
Caiado F, Silva-Santos B, Norell H . Intra-tumour heterogeneity - going beyond genetics. FEBS J. 2016; 283(12):2245-58. DOI: 10.1111/febs.13705. View

5.
Havel J, Chowell D, Chan T . The evolving landscape of biomarkers for checkpoint inhibitor immunotherapy. Nat Rev Cancer. 2019; 19(3):133-150. PMC: 6705396. DOI: 10.1038/s41568-019-0116-x. View