journal article·2026-07Open access

Bioorthogonal Fluorogenic Reporters for Noninvasive Imaging and Urinalysis of Immunotherapeutic Response in Renal Cell Carcinoma

Xingyue Yang, Baoshuai Liang, Liangmin Fu, Weiliang Deng, Yuyan Jiang, Weiping Xu, Jinwei Chen, Ya Zhou, Ke Wu, Jiaguo Huang

Advanced Science· Volume 13· Issue 40

Abstract

ABSTRACT Real‐time monitoring of kidney‐infiltrating cytotoxic T lymphocytes (CTLs) is crucial for evaluating immunotherapy in renal cell carcinoma (RCC). However, existing imaging probes often exhibit “always‐on” signals and poor renal clearance, limiting their ability to detect renal immune responses. Herein, we report renal‐clearable bio‐orthogonal near‐infrared (NIR) fluorogenic probes (BGRs) that specifically detect granzyme B (GzmB), a biomarker of CTL activation, for dynamic evaluation of RCC immunotherapy. BGRs are built on a nitrile‐substituted hemicyanine scaffold with a biothiol‐responsive cysteine tail that is dually locked with a GzmB‐responsive peptide and conjugated to renal clearable (2‐hydroxypropyl)‐β‐cyclodextrin (HPβCD). Following injection in RCC mouse models under immunotherapy, non‐fluorescent BGR M accumulates in the renal tumor, where dual cleavage by elevated glutathione (GSH) and GzmB releases HPβCD and exposes an aminothiol group, triggering nitrile‐aminothiol biorthogonal click reaction that activates NIR fluorescence and drives probe self‐assembly for enhanced imaging performance. BGRs not only differentiate immunotherapeutic responses in living mice but also enable sensitive optical urinalysis of GzmB in clinical specimens from RCC patients (n = 21), allowing precise stratification of immune activation before and after treatment. This work thus establishes a generalizable strategy for translational optical reporters that addresses the unmet clinical need for dynamic monitoring of immunotherapies in RCC and other urological cancers.
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Research context

OpenAlex topics: Nanoplatforms for cancer theranostics · Click Chemistry and Applications · Bladder and Urothelial Cancer Treatments

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Anti‐Infective Drug Discovery and Development School of Pharmaceutical Sciences Sun Yat‐sen University Guangzhou China

Department of Pharmacy The Affiliated Dazu's Hospital of Chongqing Medical University Chongqing China

Department of Urology The Second Xiangya Hospital of Central South University Changsha China

Department of Urology The First Affiliated Hospital of Sun Yat‐sen University Guangzhou China

Department of Radiation Oncology Stanford University School of Medicine Stanford California USA

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China · Guangzhou Municipal Science and Technology Project · China Postdoctoral Science Foundation

References (45)

Show source-provided references
1. 10.1038/s41585-022-00666-210.1038/s41585-022-00666-2 ↗
2. 10.1016/j.ctrv.2021.10223910.1016/j.ctrv.2021.102239 ↗
3. 10.1158/1078-0432.CCR-21-237210.1158/1078-0432.CCR-21-2372 ↗
4. 10.1016/S1470-2045(23)00473-410.1016/S1470-2045(23)00473-4 ↗
5. 10.1158/1078-0432.CCR-16-284810.1158/1078-0432.CCR-16-2848 ↗
6. 10.1038/s41585-022-00676-010.1038/s41585-022-00676-0 ↗
7. 10.1097/JU.000000000000355710.1097/JU.0000000000003557 ↗
8. 10.3390/cancers1406138410.3390/cancers14061384 ↗
9. 10.1016/j.breast.2023.03.01410.1016/j.breast.2023.03.014 ↗
10. 10.1186/s13045-021-01166-310.1186/s13045-021-01166-3 ↗
11. 10.1148/rg.202020007010.1148/rg.2020200070 ↗
12. 10.3389/fimmu.2021.71686010.3389/fimmu.2021.716860 ↗
13. 10.1016/j.chembiol.2022.08.00610.1016/j.chembiol.2022.08.006 ↗
14. 10.1021/jacs.0c0065910.1021/jacs.0c00659 ↗
15. 10.1038/s41467-024-53197-210.1038/s41467-024-53197-2 ↗
16. 10.1158/0008-5472.CAN-16-334610.1158/0008-5472.CAN-16-3346 ↗
17. 10.1021/acscentsci.1c0052910.1021/acscentsci.1c00529 ↗
18. 10.1038/s41698-022-00263-x10.1038/s41698-022-00263-x ↗
19. 10.2967/jnumed.125.26979510.2967/jnumed.125.269795 ↗
20. 10.2967/jnumed.124.26752910.2967/jnumed.124.267529 ↗
21. 10.1172/JCI16106510.1172/JCI161065 ↗
22. 10.1158/1078-0432.CCR-18-240710.1158/1078-0432.CCR-18-2407 ↗
23. 10.1038/s41467-022-29691-w10.1038/s41467-022-29691-w ↗
24. 10.1038/nri91110.1038/nri911 ↗
25. 10.1038/nri383910.1038/nri3839 ↗
26. 10.1002/anie.20221140910.1002/anie.202211409 ↗
27. 10.1038/s41551-023-01009-110.1038/s41551-023-01009-1 ↗
28. 10.1038/s41563-022-01224-210.1038/s41563-022-01224-2 ↗
29. 10.1038/s41563-019-0378-410.1038/s41563-019-0378-4 ↗
30. 10.1021/acsnano.4c1538710.1021/acsnano.4c15387 ↗
31. 10.1021/jacs.4c1589610.1021/jacs.4c15896 ↗
32. 10.1038/s41467-025-63311-710.1038/s41467-025-63311-7 ↗
33. 10.1002/anie.20231311710.1002/anie.202313117 ↗
34. 10.1038/s41467-024-55452-y10.1038/s41467-024-55452-y ↗
35. 10.1002/anie.20230169610.1002/anie.202301696 ↗
36. 10.1002/anie.20230653910.1002/anie.202306539 ↗
37. 10.1002/anie.20221614210.1002/anie.202216142 ↗
38. 10.1038/s41551-019-0358-710.1038/s41551-019-0358-7 ↗
39. 10.1126/sciadv.abc277710.1126/sciadv.abc2777 ↗
40. 10.1021/acscentsci.2c0014210.1021/acscentsci.2c00142 ↗
41. 10.1021/acsnano.2c0889610.1021/acsnano.2c08896 ↗
42. 10.1002/anie.20191331410.1002/anie.201913314 ↗
43. Modeling Spontaneous Metastatic Renal Cell Carcinoma (mRCC) in Mice Following Nephrectomy
44. 10.1242/bio.05856610.1242/bio.058566 ↗
45. A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies