Structure-guided engineering of immunotherapies targeting TRBC1 and TRBC2 in T cell malignancies

针对T细胞恶性肿瘤中TRBC1和TRBC2的结构导向免疫疗法工程

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作者:Mathieu Ferrari # ,Matteo Righi # ,Vania Baldan ,Patrycja Wawrzyniecka ,Anna Bulek ,Alexander Kinna ,Biao Ma ,Reyisa Bughda ,Zulaikha Akbar ,Saket Srivastava ,Isaac Gannon ,Mathew Robson ,James Sillibourne ,Ram Jha ,Mohamed El-Kholy ,Oliver Muhammad Amin ,Evangelia Kokalaki ,Mohammed Amin Banani ,Rehan Hussain ,William Day ,Wen Chean Lim ,Priyanka Ghongane ,Jade R Hopkins ,Dennis Jungherz ,Marco Herling ,Martin Welin ,Sachin Surade ,Michael Dyson ,John McCafferty ,Derek Logan ,Shaun Cordoba ,Simon Thomas ,Andrew Sewell ,Paul Maciocia ,Shimobi Onuoha ,Martin Pule

Abstract

Peripheral T cell lymphomas are typically aggressive with a poor prognosis. Unlike other hematologic malignancies, the lack of target antigens to discriminate healthy from malignant cells limits the efficacy of immunotherapeutic approaches. The T cell receptor expresses one of two highly homologous chains [T cell receptor β-chain constant (TRBC) domains 1 and 2] in a mutually exclusive manner, making it a promising target. Here we demonstrate specificity redirection by rational design using structure-guided computational biology to generate a TRBC2-specific antibody (KFN), complementing the antibody previously described by our laboratory with unique TRBC1 specificity (Jovi-1) in targeting broader spectrum of T cell malignancies clonally expressing either of the two chains. This permits generation of paired reagents (chimeric antigen receptor-T cells) specific for TRBC1 and TRBC2, with preclinical evidence to support their efficacy in T cell malignancies.

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