Toney Nicole J, Lynch Megan T, Lynce Filipa, Mainor Candace, Isaacs Claudine, Schlom Jeffrey, Donahue Renee N
Center for Immuno-Oncology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Dana-Farber Cancer Institute, Boston, Massachusetts, USA.
J Immunother Cancer. 2025 Apr 23;13(4):e011379. doi: 10.1136/jitc-2024-011379.
The OXEL study (NCT03487666) was a phase II trial of patients with triple negative breast cancer (TNBC) with residual disease following neoadjuvant chemotherapy, randomized to receive immunotherapy (anti-programmed cell death protein 1, nivolumab), chemotherapy (capecitabine), or chemoimmunotherapy. We previously reported on the primary endpoint of the OXEL trial, demonstrating that a peripheral immunoscore based on circulating immune cells reflecting immune activation was increased in patients treated with immunotherapy. However, compared with cell-based immune assays, sera assays are more cost-effective, less labor-intensive, and samples easier to obtain. Here, we report on differences in serum analytes between treatment arms and associations with clinical response.
Patients (n=38) were assayed for 97 serum analytes before and after 6 and 12 weeks of therapy. Serum analytes were assessed for changes with therapy, and as predictors of disease recurrence and the duration of invasive disease-free survival (iDFS) in both single analyte analyses and machine learning models.
Levels of specific analytes at baseline and changes in levels at early time points on treatment preceding recurrence were associated with eventual development of disease recurrence and/or the duration of iDFS. These associations varied based on the therapy patients received. Immunotherapy led to enrichment in pro-inflammatory analytes following treatment, whereas chemotherapy resulted in overall decreases. Changes seen in patients receiving chemoimmunotherapy more closely resembled those observed in patients receiving immunotherapy alone as opposed to chemotherapy alone. Furthermore, logistic regression and Cox proportional hazard models, developed using machine learning methods, demonstrated that combinations of serum analytes were more predictive of disease recurrence and iDFS duration than analyses of single serum analytes. Notably, the multivariable models that predicted patient outcomes were highly specific to the class of treatment patients received.
In patients with TNBC with residual disease after neoadjuvant chemotherapy, treatment with immunotherapy alone or chemoimmunotherapy resulted in enhanced immune activation compared with chemotherapy alone as measured by changes in serum analyte levels. Distinct serum analytes, both at baseline and as changes after therapy, predicted clinical outcomes for patients receiving immunotherapy alone, chemotherapy alone, or chemoimmunotherapy.
NCT03487666.
OXEL研究(NCT03487666)是一项针对新辅助化疗后仍有残留病灶的三阴性乳腺癌(TNBC)患者的II期试验,患者被随机分配接受免疫疗法(抗程序性细胞死亡蛋白1,纳武单抗)、化疗(卡培他滨)或化疗免疫疗法。我们之前报道了OXEL试验的主要终点,表明接受免疫疗法治疗的患者中,基于反映免疫激活的循环免疫细胞的外周免疫评分有所增加。然而,与基于细胞的免疫分析相比,血清分析更具成本效益,劳动强度更低,且样本更易获取。在此,我们报告各治疗组之间血清分析物的差异以及与临床反应的关联。
对患者(n = 38)在治疗6周和12周前后进行97种血清分析物的检测。在单分析物分析和机器学习模型中,评估血清分析物随治疗的变化情况,以及作为疾病复发和侵袭性无病生存期(iDFS)持续时间的预测指标。
基线时特定分析物的水平以及复发前治疗早期时间点的水平变化与疾病复发的最终发展和/或iDFS的持续时间相关。这些关联因患者接受的治疗而异。免疫疗法导致治疗后促炎分析物富集,而化疗则导致总体下降。接受化疗免疫疗法的患者所观察到的变化更类似于仅接受免疫疗法而非仅接受化疗的患者所观察到的变化。此外,使用机器学习方法建立的逻辑回归和Cox比例风险模型表明,血清分析物的组合比单一血清分析物分析更能预测疾病复发和iDFS持续时间。值得注意的是,预测患者预后的多变量模型对患者接受的治疗类别具有高度特异性。
在新辅助化疗后仍有残留病灶的TNBC患者中,与单纯化疗相比,单独使用免疫疗法或化疗免疫疗法治疗可通过血清分析物水平的变化导致免疫激活增强。无论是基线时还是治疗后的变化,不同的血清分析物均可预测单独接受免疫疗法、单独接受化疗或化疗免疫疗法的患者的临床结局。
NCT03487666。