Citations

Abstract The recent FDA approval of the first T-cell receptor–engineered (TCR) T-cell cancer therapy has solidified the treatment as a viable therapeutic strategy. However, only a fraction of patients who received this treatment achieved substantial and long-lasting responses, highlighting the need to understand the molecular underpinnings of these responses and develop more effective strategies to improve this therapy. Previous research has demonstrated that the activation of myeloid differentiation primary response 88 (MyD88) signaling in tumor-specific T cells functions as a robust costimulatory signaling pathway that promotes effective antitumor T-cell responses. In this study, we developed a strategy for improving TCR T-cell therapies by creating a synthetic TCR in which the intracellular domain of CD3ζ and a modified MyD88 are appended to the β-chain of a tumor-reactive TCR. The β:CD3ζ:MyD88 TCR activated MyD88 signaling in a tumor antigen/TCR-specific manner, and β:CD3ζ:MyD88 TCR T cells exhibited enhanced functionality and a reduced propensity to become exhausted. Furthermore, MyD88 signaling promoted T-cell persistence and expansion in vitro. In vivo, tumor-infiltrating β:CD3ζ:MyD88 TCR T cells skewed the immunosuppressive tumor microenvironment toward a less immunosuppressive state. Finally, β:CD3ζ:MyD88 TCR T cells substantially delayed tumor growth kinetics in a melanoma model. These findings introduce an approach for improving TCR-dependent T-cell responses by directly appending signaling domains to the full-length TCR and exemplify the utility of activating MyD88 signaling in tumor-specific T cells. Significance: A chimeric β:CD3ζ:MyD88 TCR reduces exhaustion and improves antitumor T-cell responses, overcoming the limited efficacy of current TCR-engineered T-cell cancer therapies.

Objectives To develop an internationally validated, structured robot‐assisted radical nephroureterectomy (RARNU) training programme through expert consensus. Materials and Methods A RARNU‐specific questionnaire was developed/adapted from previously published, validated questionnaires for robot‐assisted urological procedures. This included five key domains and 11 surgical steps. In all, 30 upper tract urothelial carcinoma experts were invited to participate. A two‐stage modified Delphi approach was employed. Consensus was defined as ≥80% agreement. Modifications and additional statements were proposed during the second round following qualitative/quantitative feedback from the initial round. Results Response rates for the first and second Delphi rounds were 80% (24/30) and 92% (22/24), respectively. All agreed that adoption of a standardised training curriculum can improve clinical outcomes during the RARNU learning curve. There was ≥92% agreement on all proposed RARNU steps. Five RARNU clinical modules of increasing complexity were defined using individual step difficulty and number of prior RARNU cases required, with ≥96% agreement among respondents. Respondents unanimously agreed that the final assessment should be based on a procedure‐specific scale focusing on the hilar dissection, ureteric dissection, and bladder cuff excision steps. No consensus was reached for the annual minimum RARNU volume required for eligibility as a RARNU curriculum host centre. Conclusion This is the first structured training curriculum for RARNU using international expert consensus. This will help guide surgical educators and trainees toward independent completion of a full RARNU.