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Multimodal integration of blood RNA and ctDNA reflects response to immunotherapy in metastatic urothelial cancer
Sandra van Wilpe, … , Pedro Romero, Niven Mehra
Sandra van Wilpe, … , Pedro Romero, Niven Mehra
Published January 30, 2025
Citation Information: JCI Insight. 2025;10(5):e186062. https://doi.org/10.1172/jci.insight.186062.
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Clinical Research and Public Health Immunology Oncology

Multimodal integration of blood RNA and ctDNA reflects response to immunotherapy in metastatic urothelial cancer

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Abstract

BACKGROUND. Previously, we demonstrated that changes in circulating tumor DNA (ctDNA) are promising biomarkers for early response prediction (ERP) to immune checkpoint inhibitors (ICIs) in metastatic urothelial cancer (mUC). In this study, we investigated the value of whole-blood immunotranscriptomics for ERP-ICI and integrated both biomarkers into a multimodal model to boost accuracy. METHODS. Blood samples of 93 patients were collected at baseline and after 2–6 weeks of ICI for ctDNA (n = 88) and immunotranscriptome (n = 79) analyses. ctDNA changes were dichotomized into increase or no increase, the latter including patients with undetectable ctDNA. For RNA model development, the cohort was split into discovery (n = 29), test (n = 29), and validation sets (n = 21). Finally, RNA- and ctDNA-based predictions were integrated in a multimodal model. Clinical benefit (CB) was defined as progression-free survival beyond 6 months. RESULTS. Sensitivity (SN) and specificity (SP) of ctDNA increase for predicting non-CB (N-CB) was 59% and 92%, respectively. Immunotranscriptome analysis revealed upregulation of T cell activation, proliferation, and interferon signaling during treatment in the CB group, in contrast with N-CB patients. Based on these differences, a 10-gene RNA model was generated, reaching an SN and SP of 73% and 79%, respectively, in the test and 67% and 67% in the validation set for predicting N-CB. Multimodal model integration led to superior performance, with an SN and SP of 79% and 100%, respectively, in the validation cohort. CONCLUSION. The combination of whole-blood immunotranscriptome and ctDNA in a multimodal model showed promise for ERP-ICI in mUC and accurately identified patients with N-CB. FUNDING. Eurostars grant E! 114908 - PRECISE, Paul Speth Foundation (Bullseye project).

Authors

Sandra van Wilpe, Davide Croci, Sara S. Fonseca Costa, Iris B.A.W. te Paske, Sofie H. Tolmeijer, Jolique van Ipenburg, Leonie I. Kroeze, Simona Pavan, Sylvain Monnier-Benoit, Guido Coccia, Noushin Hadadi, Irma M. Oving, Tineke J. Smilde, Theo van Voorthuizen, Marieke Berends, Mira D. Franken, Marjolijn J.L. Ligtenberg, Sahar Hosseinian Ehrensberger, Laura Ciarloni, Pedro Romero, Niven Mehra

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Figure 1

Circulating tumor DNA (ctDNA) dynamics predicts clinical benefit (CB) to immune checkpoint inhibitor (ICI) therapy in metastatic urothelial cancer (mUC) patients.

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Circulating tumor DNA (ctDNA) dynamics predicts clinical benefit (CB) to...
(A) Sample collection and analysis schematic: mUC patients were treated with an ICI (pembrolizumab, nivolumab, or avelumab) until disease progression. Blood was collected at baseline (BL, before cycle 1) and on-treatment (OT, after 2–6 weeks) for both ctDNA and RNA analysis. The primary endpoint was CB. This was defined as progression-free survival (PFS) for at least 6 months. (B) Kaplan-Meier (KM) curve comparing the PFS of patients with PD-L1–positive tumor (orange curve, PD-L1 combined positive score < 10) and patients with PD-L1–negative tumor (green curve, PD-L1 combined positive score < 10). (C) KM curve comparing the PFS of patients with a high tumor mutational burden (TMB) (orange curve, TMB ≥ 10 mutations/Mb) and TMB low patients (green curve, TMB < 10 mutations/Mb). (D) KM curve comparing the PFS of ctDNA-based patient stratification. The predicted CB population (orange curve) contains patients who had a decrease in ctDNA fraction from BL to OT or undetected at both time points. The predicted non-clinical benefit (N-CB, green curve) population contains patients where the ctDNA fraction increased from BL to OT or was stable. P values were determined by a Mantel-Haenszel test. HR, hazard ratio; CI, confidence interval.

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