Two-plex <i>in vivo</i> molecular imaging in the second near-infrared window for immunotherapeutic response
Tumor-infiltrating CD8<sup>+</sup> T cells and programmed death-1 (PD1) levels are critical indicators for tumor immunophenotyping and therapeutic decision-making. Noninvasive optical imaging in the second near infrared window (NIR-II) is particularly well-suited for investigating the biological processes within tumors in live mammals, thanks to its deep-tissue penetration and superior spatiotemporal resolution. However, <i>in vivo</i> NIR-II imaging has primarily been restricted to a single probe at a time. <b>Methods:</b> Herein, we developed a two-plex NIR-II molecular imaging method utilizing the non-overlapping fluorescence emission of indocyanine green (ICG) in the NIR-IIa window (1000-1200 nm) and PbS/CdS core-shell quantum dots (QDs) in the NIR-IIb window (1500-1700 nm). By integrating PD1 aptamer-labeled ICG (ICG-Apt-PD1, targeting PD1) and CD8 aptamer-labeled QDs (QDs@Apt-CD8, targeting CD8<sup>+</sup> T cells), our two-plex NIR-II molecular imaging enabled simultaneous and noninvasive monitoring of the number of CD8<sup>+</sup> T cells and PD1 levels in tumors. <b>Results:</b> QDs@Apt-CD8 demonstrated the excellent ability for <i>in vivo</i> imaging of tumor infiltrating CD8<sup>+</sup> T cells, owing to its strong NIR-IIb luminescence and the high selectivity and specificity. This two-plex <i>in vivo</i> molecular imaging allowed for dynamic monitoring for PD1 levels and the number of CD8<sup>+</sup> T cells in tumors. We observed the heterogeneous bio-distributions of PD1 and CD8<sup>+</sup> T cells across different tumor types and revealed the tumor immunophenotypes. Moreover, our findings indicated that the low PD1 and high CD8<sup>+</sup> T cells levels in tumors predicted a better anti-tumor effect. <b>Conclusions:</b> Such <i>in vivo</i> noninvasive NIR-II molecular imaging would complement <i>ex vivo</i> biopsy-based diagnostic techniques, and it could contribute to developing an <i>in vivo</i> tumor immune-scoring algorithm to offer a more precise prediction for immunotherapeutic response.
Authors
- Aixian Zheng (ORCID: https://orcid.org/0000-0003-0773-4261)
- Yike Cai (ORCID: https://orcid.org/0000-0001-7618-5599)
- Yongyi Zeng (ORCID: https://orcid.org/0000-0001-7441-4271)
- Naishun Liao (ORCID: https://orcid.org/0000-0002-2781-4229)
- Haipo Xu (ORCID: https://orcid.org/0000-0003-1619-7963)
- Yan Liu (ORCID: https://orcid.org/0000-0003-4242-4840)
- Xiaolong Liu (ORCID: https://orcid.org/0000-0002-3096-4981)
- Rui Li (ORCID: https://orcid.org/0000-0003-3142-0633)
- Rui Zeng (ORCID: https://orcid.org/0000-0003-3971-7415)
- Peiyuan Wang
- Yupeng Sun
- Ming Wu (ORCID: https://orcid.org/0000-0002-2343-662X)
- Cuilin Zhang
- Xiaolong Zhang (ORCID: https://orcid.org/0000-0002-9407-606X)
Institutions
- Fujian Medical University (CN)
- Chinese Academy of Sciences (CN)
- Mengchao Hepatobiliary Hospital (CN)
- Fujian Institute of Research on the Structure of Matter (CN)
- First Affiliated Hospital of Fujian Medical University (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Theranostics
- Published
- 2025-03-19
- DOI
- https://doi.org/10.7150/thno.108880
- Citations
- 5
- Primary Topic
- Nanoplatforms for cancer theranostics
- Type
- article
- Field-Weighted Citation Impact
- 3.37