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Integrated transcriptional‐phenotypic analysis captures systemic immunomodulation following antiangiogenic therapy in renal cell carcinoma patients

Version 2 2024-10-13, 13:21
Version 1 2023-03-16, 06:22
journal contribution
revised on 2024-10-13, 13:19 and posted on 2024-10-13, 13:21 authored by Darawan Rinchai, Elena Verzoni, Veronica Huber, Agata Cova, Paola Squarcina, Loris De Cecco, Filippo Braud, Raffaele Ratta, Matteo Dugo, Luca Lalli, Viviana Vallacchi, Monica Rodolfo, Jessica Roelands, Chiara Castelli, Damien Chaussabel, Giuseppe Procopio, Davide BedognettiDavide Bedognetti, Licia Rivoltini

Background

The combination of immune checkpoint blockade (ICB) with standard therapies is becoming a common approach for overcoming resistance to cancer immunotherapy in most human malignancies including metastatic renal cell carcinoma (mRCC). In this regard, insights into the immunomodulatory properties of antiangiogenic agents may help designing multidrug schedules based on specific immune synergisms.

Methods

We used orthogonal transcriptomic and phenotyping platforms combined with functional analytic pipelines to elucidate the immunomodulatory effect of the antiangiogenic agent pazopanib in mRCC patients. Nine patients were studied longitudinally over a period of 6 months. We also analyzed transcriptional data from The Cancer Genome Atlas (TCGA) RCC cohort (N = 571) to assess the prognostic implications of our findings. The effect of pazopanib was assessed in vitro on NK cells and T cells. Additionally, myeloid-derived suppressor (MDSC)-like cells were generated from CD14+ monocytes transfected with mimics of miRNAs associated with MDSC function in the presence or absence of pazopanib.

Results

Pazopanib administration caused a rapid and dramatic reshaping in terms of frequency and transcriptional activity of multiple blood immune cell subsets, with a downsizing of MDSC and regulatory T cells in favor of a strong enhancement in PD-1 expressing cytotoxic T and Natural Killer effectors. These changes were paired with an increase of the expression of transcripts reflecting activation of immune-effector functions. This immunomodulation was marked but transient, peaking at the third month of treatment. Moreover, the intratumoral expression level of a MDSC signature (MDSC INT) was strongly associated with poor prognosis in RCC patients. In vitro experiments indicate that the observed immunomodulation might be due to an inhibitory effect on MDSC-mediated suppression, rather than a direct effect on NK and T cells.

Conclusions

The marked but transient nature of this immunomodulation, peaking at the third month of treatment, provides the rationale for the use of antiangiogenics as a preconditioning strategy to improve the efficacy of ICB.

Other Information

Published in: Clinical and Translational Medicine
License: http://creativecommons.org/licenses/by/4.0/
See article on publisher's website: http://dx.doi.org/10.1002/ctm2.434

Funding

Access funding provided by the Qatar National Library.

Sidra Medicine (SDR400019, SDR400027, and SDR400123), Precision Medicine Program internal funds.

European Commission (686089), Scaling-up biodegradable nanomedicines for multimodal for multimodal precision cancer immunotherapy.

Associazione Italiana per la Ricerca sul Cancro (12162 to LR), Special Program Innovative Tools for Cancer Risk Assessment and early Diagnosis.

Ministero della Salute 2015 (D/17/1VH).

Italian Ministry of Health (RF-2016-02363001).

History

Language

  • English

Publisher

Wiley

Publication Year

  • 2021

License statement

This Item is licensed under the Creative Commons Attribution 4.0 International License.

Institution affiliated with

  • Sidra Medicine
  • Hamad Bin Khalifa University
  • College of Health and Life Sciences - HBKU

Related Datasets

Darawan Rinchai. (2020). Series GSE146163. Last modified 2021. National Library of Medicine : National Center for Biotechnology Information : Gene Expression Omnibus. https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE146163 Drinchai (2021). DC_Module_Generation2. Last modified 2020. GitHub Repository. https://github.com/Drinchai/DC_Module_Generation2