Abstract P1-10-18: Serum protein expression predicts neoadjuvant chemotherapy response in patients with locally advanced breast cancer

Ji-yeon Kim, Kyunghee Park, Hae Hyun Jung, Se Kyung Lee, Jonghan Yu, J. Lee, S. Kim, S. Nam, Yeon-Hee Park
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引用次数: 0

Abstract

Introduction: Neoadjuvant chemotherapy (NAC) enables curative surgery and deprives micrometastasis in locally advanced breast cancer (LABC). Indeed, response of NAC, representatives of pathologic complete response (pCR) as well as residual cancer burden (RCB) class, is the most powerful indicator to predict BC prognosis. Therefore, NAC has been commonly used to treat LABC especially for HER2+ and TNBC subtype. While BC was treated with NAC, BC pathologic characteristics could be switched as a consequence of NAC. However, serial tumor biopsies are not feasible in clinical practiceeven though NAC has been used “in vitro vehicle” for translational research. Therefore, plasma biomarker is unmet need for treatment response prediction. In this study, we aimed to identify potential plasma biomarkers using multiplex immunoassay in BC patients with NAC. In total, we evaluated 45 plasma biomarkers and analyzed the association between the level of biomarkers and clinical outcomes. Methods: This study was prospectively conducted for LABC patients with NAC. Patients were treated with a standard NAC protocol for 6 months, consisting of four cycles of adriamycin/cyclophosphamide (AC) (60/600 mg/m2) combination chemotherapies followed by four cycles of docetaxel(D) (80mg/ m2) chemotherapy. HER2+ BC patients were treated with docetaxel plus trastuzumab (DH) combination therapies after AC. Surgical response was evaluated according to pathologic complete remission (pCR) defined as no residual invasive carcinoma in primary tumor bed and axillary lymph node. We also calculated residual cancer burden (RCB) score based on surgical pathology report. For each patient, blood sampling were prospectively taken 3times; before treatment (T1), three weeks after the first cycle of AC (T2) and at surgery following six months of treatment (T3). Plasma samples were assayed by multiplex immunoassays for 45 biomarkers, including growth factor, cytokines and chemokines using 45-Plex Human ProcartaPlexTM Panel (Thermo Fisher Scientific, Inc. Carlsbad, CA, USA). Results: In total, 167 patients diagnosed with LABC were participated in serial plasma sampling. Fifty eight patients were diagnosed with HER2+ BCs (34.7%) and 63 of TNBCs (37.7%). Clinical stage at BC diagnosis was variate; 59 of stage II (35.3%), 108 of stage III (64.7%). After BC surgery, pCR (RCB class 0) was observed in 53 BCs (6 hormone receptor positive and HER2- BCs (13.0%), 27 HER2+ BCs (46.6%) and 20 TNBCs (31.7%)). In terms of RCB class, 20 BCs were class I, 63 of class II and 28 of class III. Two patients diagnosed with LABC had undergone disease progression during NAC. Among clinical variables, RCB class after NAC in LABC patients has the highest predictive value for relapse free survival (RFS) (c-index: 0.787, 95% confidence interval [CI]:0.690, 0.884, p-value Conclusion: Seven plasma protein expressions predict RCB class in LABC patients with NAC and predicted RCB class also has a similar predictive value for RFS compared with RCB class based on the result of curative surgery. Citation Format: Ji-Yeon Kim, Kyunghee Park, Hae Hyun Jung, Se Kyung Lee, Jonghan Yu, Jeong Eon Lee, Seok Won Kim, Seok Jin Nam, Yeon Hee Park. Serum protein expression predicts neoadjuvant chemotherapy response in patients with locally advanced breast cancer [abstract]. In: Proceedings of the 2019 San Antonio Breast Cancer Symposium; 2019 Dec 10-14; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2020;80(4 Suppl):Abstract nr P1-10-18.
摘要P1-10-18:血清蛋白表达预测局部晚期乳腺癌患者新辅助化疗反应
新辅助化疗(NAC)使局部晚期乳腺癌(LABC)的手术治疗和微转移成为可能。事实上,作为病理完全反应(pCR)和残余癌负担(RCB)类别的代表,NAC的反应是预测BC预后最有力的指标。因此,NAC已被广泛用于治疗LABC,特别是HER2+和TNBC亚型。当使用NAC治疗BC时,BC的病理特征可能会因NAC而改变。然而,尽管NAC已被用于“体外载体”的转化研究,但在临床实践中,连续肿瘤活检是不可行的。因此,血浆生物标志物对治疗反应预测的需求尚未得到满足。在这项研究中,我们的目的是通过多重免疫分析法确定BC合并NAC患者的潜在血浆生物标志物。总的来说,我们评估了45种血浆生物标志物,并分析了生物标志物水平与临床结果之间的关系。方法:本研究对LABC合并NAC患者进行前瞻性研究。患者采用标准NAC方案治疗6个月,包括4个周期阿霉素/环磷酰胺(AC) (60/600 mg/m2)联合化疗,随后4个周期多西紫杉醇(D) (80mg/ m2)化疗。HER2+ BC患者在AC后接受多西他赛+曲妥珠单抗(DH)联合治疗。根据病理完全缓解(pCR)评估手术疗效,病理完全缓解(pCR)定义为原发肿瘤床和腋窝淋巴结无浸润性癌残留。根据手术病理报告计算残余癌负荷(RCB)评分。每例患者前瞻性采血3次;治疗前(T1)、第一周期AC治疗后3周(T2)和治疗6个月后手术时(T3)。使用45- plex Human ProcartaPlexTM Panel (Thermo Fisher Scientific, Inc.)对血浆样品进行45种生物标志物的多重免疫测定,包括生长因子、细胞因子和趋化因子。卡尔斯巴德,加州,美国)。结果:167例诊断为LABC的患者参与了连续血浆采样。58例患者诊断为HER2+ bc(34.7%), 63例患者诊断为tnbc(37.7%)。BC诊断时的临床分期是可变的;II期59例(35.3%),III期108例(64.7%)。BC术后53例BCs(激素受体阳性及HER2- BCs 6例(13.0%),HER2+ BCs 27例(46.6%),TNBCs 20例(31.7%))检测到pCR (RCB 0级)。在RCB类别方面,I类有20家,II类有63家,III类有28家。2例诊断为LABC的患者在NAC期间发生了疾病进展。在临床变量中,LABC患者NAC后RCB分级对无复发生存(RFS)的预测价值最高(c-index: 0.787, 95%可信区间[CI]:0.690, 0.884, p值)结论:7种血浆蛋白表达预测NAC后LABC患者RCB分级,预测RCB分级与基于根治性手术结果的RCB分级对RFS的预测价值相近。引文格式:金志妍、朴庆熙、郑海炫、李世敬、余钟汉、李正彦、金锡元、南锡镇、朴延熙血清蛋白表达预测局部晚期乳腺癌患者新辅助化疗反应[摘要]。摘自:2019年圣安东尼奥乳腺癌研讨会论文集;2019年12月10日至14日;费城(PA): AACR;中国癌症杂志,2020;31(增刊):1-10-18。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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