An Immune-Related Gene Expression Signature Predicts Benefit from Adding Atezolizumab to FOLFOXIRI plus Bevacizumab in Metastatic Colorectal Cancer

阿替唑单抗 医学 贝伐单抗 内科学 肿瘤科 结直肠癌 人口 临床终点 基因签名 奥沙利铂 癌症 彭布罗利珠单抗 随机对照试验 化疗 免疫疗法 生物 生物化学 基因表达 环境卫生 基因
作者
Carlotta Antoniotti,Alessandra Boccaccino,Robert S. Seitz,Mirella Giordano,Aurélie Catteau,Daniele Rossini,Filippo Pietrantonio,Lisa Salvatore,Kimberly McGregor,Francesca Bergamo,Veronica Conca,Simone Leonetti,Federica Morano,Giorgio Papiani,Emiliano Tamburini,Maria Bensi,Sabina Murgioni,Douglas Teller Ross,Alessandro Passardi,Isabelle Boquet
出处
期刊:Clinical Cancer Research [American Association for Cancer Research]
卷期号:29 (12): 2291-2298 被引量:18
标识
DOI:10.1158/1078-0432.ccr-22-3878
摘要

Abstract Purpose: AtezoTRIBE phase II randomized study demonstrated that adding atezolizumab to first-line FOLFOXIRI (5-fluorouracil, oxaliplatin, irinotecan) plus bevacizumab prolongs progression-free survival (PFS) of patients with metastatic colorectal cancer (mCRC), with a modest benefit among proficient mismatch repair (pMMR). DetermaIO is an immune-related 27-gene expression signature able to predict benefit from immune checkpoint inhibition in triple-negative breast cancer. In this analysis of AtezoTRIBE, we investigated the predictive impact of DetermaIO in mCRC. Experimental Design: Patients with mCRC unselected for MMR status were randomly assigned (1:2) to FOLFOXIRI plus bevacizumab (control arm) or the same regimen with atezolizumab (atezolizumab arm). qRT-PCR by DetermaIO was performed on RNA purified from pretreatment tumors of 132 (61%) of 218 enrolled patients. A binary result (IOpos vs. IOneg) adopting the preestablished DetermaIO cut-off point (0.09) was obtained, and an exploratory optimized cut-off point (IOOPT) was computed in the overall population and in pMMR subgroup (IOOPTpos vs. IOOPTneg). Results: DetermaIO was successfully determined in 122 (92%) cases, and 23 (27%) tumors were IOpos. IOpos tumors achieved higher PFS benefit from atezolizumab arm than IOneg (HR: 0.39 vs. 0.83; Pinteraction = 0.066). In pMMR tumors (N = 110), a similar trend was observed (HR: 0.47 vs. 0.93; Pinteraction = 0.139). In the overall population, with the computed IOOPT cut-off point (0.277), 16 (13%) tumors were IOOPTpos and they derived higher PFS benefit from atezolizumab than IOOPTneg (HR: 0.10 vs. 0.85, Pinteraction = 0.004). Similar results were found in the pMMR subgroup. Conclusions: DetermaIO may be useful to predict benefit of adding atezolizumab to first-line FOLFOXIRI plus bevacizumab in mCRC. The exploratory IOOPT cut-off point should be validated in independent mCRC cohorts.
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