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SO-36 An immune-related gene expression profile predicts the efficacy of adding atezolizumab to first-line FOLFOXIRI/bevacizumab in metastatic colorectal cancer: A translational analysis of the phase II randomized AtezoTRIBE study

贝伐单抗 医学 阿替唑单抗 结直肠癌 肿瘤科 临床终点 内科学 基因签名 随机对照试验 癌症 彭布罗利珠单抗 基因表达 免疫疗法 基因 化疗 化学 生物化学
作者
Carlotta Antoniotti,Alessandra Boccaccino,R. Seitz,Mirella Giordano,Davide Rossini,Margherita Ambrosini,Lisa Salvatore,K. McGregor,Francesca Bergamo,Veronica Conca,Simone Leonetti,Leonardo Provenzano,Stefano Tamberi,M. Ramundo,Giampaolo Tortora,Cosimo Rasola,Darrel Ross,Alessandro Passardi,T. Nielsen,M. Varga
出处
期刊:Annals of Oncology [Elsevier BV]
卷期号:33: S372-S372 被引量:1
标识
DOI:10.1016/j.annonc.2022.04.434
摘要

The AtezoTRIBE study demonstrated that the addition of atezolizumab to first-line FOLFOXIRI/bevacizumab prolongs PFS of mCRC patients, but a clinically modest benefit was observed among patients with proficient mismatch repair (pMMR) tumours. Therefore, identifying a pMMR subgroup able to achieve benefit from immune-checkpoint inhibitors (ICIs) is a crucial challenge of translational research. We investigated the predictive role of an immune-related gene expression signature (IO score), which reflects the presence of infiltrating inflammatory cells versus a differentiated stromal microenvironment. AtezoTRIBE was a phase II comparative trial in which mCRC patients, unselected for MMR status, were randomized 1:2 to receive first-line FOLFOXIRI/bevacizumab (control arm) or FOLFOXIRI/bevacizumab/atezolizumab (experimental arm). RNA was obtained from FFPE blocks of pre-treatment tumour specimens from 142 (65%) out of 218 enrolled patients. RT-qPCR was performed using DetermaIO™, to assess mRNA expression of a 27-gene targeted panel. In each sample the IO score was calculated according to the established pan-cancer IO algorithm. The predefined IO cut-point (0.09) was applied to dichotomize tumours as IO + or IO -. To identify patients deriving maximal benefit from the experimental arm, an exploratory analysis was conducted to find an optimized IO score cut-point (IO OPT), by using a method based on maximizing the log-rank statistics for comparing the two groups. The identified IO OPT cut-point was then adopted to dichotomize tumours as IO OPT+ or IO OPT-. IO score was successfully determined in 122 (86%) cases. Thirty-three (27%) tumours were IO +. No differences between IO + and IO - tumours were observed in terms of baseline clinical and molecular features and clinical outcome (mPFS: 14.4 vs 13.6 mos; HR:0.84 [95%CI:0.53-1.33], p=0.468). An interaction between IO status and treatment effect was reported (p for interaction=0.066), with higher PFS benefit from the experimental arm among patients with IO + (HR:0.39 [95%CI:0.15-1.02]) than IO - tumours (HR:0.83 [95%CI:0.50-1.35]). In the pMMR tumours (n=110), a similar trend was observed (IO + tumours [n=30]: HR for PFS 0.47 [95%CI:0.18-1.25]; IO - tumours [n=80]: HR for PFS 0.93 [95%CI:0.56-1.55]) (p for interaction=0.139). In the overall population (n=122), the computed IO OPT cut-point was 0.277. Sixteen (13%) tumours were IO OPT+. When compared with IO OPT- ones, IO OPT+ tumours were more frequently TMB-high (p=0.007), had longer PFS (mPFS: 14.8 vs 13.3 mos; HR:0.50 [95%CI:0.28-0.87], p=0.053) and derived significantly higher PFS benefit from the experimental treatment (HR in IO OPT+ 0.10 [95%CI:0.02-0.52] vs HR in IO OPT- 0.85 [95%CI:0.54-1.33], p for interaction=0.004). Similar results were observed in the pMMR subgroup (n=110), where the computed IO OPT cut-point was 0.304 and twelve tumours (11%) were classified as IO OPT+. The investigated IO score signature using the predefined cut-point may help to predict benefit from the addition of atezolizumab to first-line FOLFOXIRI/bevacizumab in mCRC, even within pMMR tumours. The exploratory IO OPT cut-points should further be validated in independent mCRC cohorts.
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