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首页> 外文期刊>Oncology letters >Radiomics predicts survival of patients with advanced non-small cell lung cancer undergoing PD-1 blockade using Nivolumab
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Radiomics predicts survival of patients with advanced non-small cell lung cancer undergoing PD-1 blockade using Nivolumab

机译:adadiomics使用Nivolumab预测患有PD-1封闭的先进非小细胞肺癌患者的存活

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摘要

Immune checkpoint blockade is an emerging anticancer strategy, and Nivolumab is a human mAb to PD-1 that is used in the treatment of a number of different malignancies, including non-small cell lung cancer (NSCLC), kidney cancer, urothelial carcinoma and melanoma. Although the use of Nivolumab prolongs survival in a number of patients, this treatment is hampered by high cost. Therefore, the identification of predictive markers of response to treatment in patients is required. In this context, PD-1/PDL1 blockade antitumor effects occur through the reactivation of a pre-existing immune response, and the efficacy of these effects is strictly associated with the presence of necrosis, hypoxia and inflammation at the tumour sites. It has been indicated that these events can be evaluated by specific assessments using a computed tomography (CT) texture analysis (TA) or radiomics. Therefore, a retrospective study was performed, which aimed to evaluate the potential use of this analysis in the identification of patients with NSCLC who may benefit from Nivolumab treatment. A retrospective analysis was performed of 59 patients with metastatic NSCLC who received Nivolumab treatment between January 2015 and July 2017 at Siena University Hospital (35 patients, training dataset), Catanzaro University Hospital and Reggio Calabria Grand Metropolitan Hospital, Italy (24 patients, validation dataset). Pre- and post-contrast CT sequences were used to contour the gross tumour volume (GTV) of the target lesions prior to Nivolumab treatment. The impact of variations on contouring was analysed using two delineations, which were performed on each patient, and the TA parameters were tested for reliability using the Intraclass Coefficient Correlation method (ICC). All analyses for the current study were performed using LifeX Software (c). Imaging, clinical and pathological parameters were correlated with progression free survival and overall survival (OS) using Kaplan Meier analysis. An external validation testing was performed for the TA Score using the validation dataset. A total of 59 patients were included in the analysis of the present study. The reliability ICC analysis of 14 TA parameters indicated a highly reproducibility (ICC >0.70, single measure) in 12 (85%) pre- contrast and 13 (93%) post-contrast exams. A specific cut-off was detected for each of the following parameters: volume (score 1 >36 ml), histogram entropy (score 1 > 1.30), compacity (score 1 1.80), GLCM-Dissimilarity (score 1 >5) and GLCM-Correlation (score 1 1; 23 patients; 39%) that respectively, showed a median OS of 26 (mean +/- SD: 18 +/- 1.98 months; 95% CI 14-21 months) and 5 months (mean +/- SD: 6 +/- 0.99 months; 95% CI: 4-8 months; P=0.002). The current study indicated that TA parameters can identify patients that will benefit from PD-1 blockage by defining the radiological settings that are potentially suggestive of an active immune response. These results require further confirmation in prospective trials.
机译:免疫检查点封闭是一种新兴抗癌策略,Nivolumab是一种人体mAb至pd-1,用于治疗许多不同的恶性肿瘤,包括非小细胞肺癌(NSCLC),肾癌,尿路上皮癌和黑色素瘤。虽然使用Nivolumab延长了许多患者的存活,但这种治疗通过高成本阻碍了。因此,需要鉴定对患者治疗的响应的预测标志物。在这种情况下,PD-1 / PDL1阻断抗肿瘤效应通过预先存在的免疫应答而发生,这些效果的疗效与肿瘤位点的坏死,缺氧和炎症的存在严格相关。已经表明,可以通过使用计算机断层扫描(CT)纹理分析(TA)或非射致的特定评估来评估这些事件。因此,进行了回顾性研究,该研究旨在评估该分析在鉴定可能从Nivolumab治疗中受益的NSCLC患者的潜在使用。对锡耶纳大学医院1月至2017年7月(35名患者,培训数据集),卡塔扎罗大学医院和Reggio Calabria Grand Metropolitan Calabria Grand Metropolitan医院(24名患者,24名患者,验证Databria Grand Metropolitan医院(35名患者,培训数据集)之间进行了59例转移性NSCLC患者的转移性NSCLC患者)。对比度和对比度后CT序列用于在Nivolumab治疗之前对靶病变的总肿瘤体积(GTV)轮廓。使用两种描绘分析含量的变化的影响,其在每位患者上进行,并且使用腹部系数相关方法(ICC)来测试TA参数的可靠性。使用LIFEX软件(C)进行目前研究的所有分析。使用Kaplan Meier分析,成像,临床和病理参数与进展免费存活和整体存活(OS)相关。使用验证数据集对TA分数执行外部验证测试。本研究分析共有59名患者。 14个TA参数的可靠性ICC分析表明了12(85%)预造影和13(93%)的高度再现性(ICC> 0.70,单量度)。对以下每个参数检测到特定的截止:体积(得分1> 36mL),直方图熵(得分1> 1.30),兼容性(得分1 1.80),GLCM-异化(得分1> 5)和GLCM - 胶合(得分1 1; 23名患者; 39%)分别显示26的中位数(平均值+/- SD:18 +/- 1.98个月; 95%CI 14-21个月)和5个月(平均值+ / - SD:6 +/- 0.99个月; 95%CI:4-8个月; P = 0.002)。目前的研究表明,TA参数可以通过定义可能提示活性免疫应答的放射学设置,鉴定将受益于PD-1障碍的患者。这些结果需要进一步确认前瞻性试验。

著录项

  • 来源
    《Oncology letters》 |2020年第2期|共8页
  • 作者单位

    Osped Mare Integrated Dept Diagnost Radiol &

    Radiotherapy Unit Radiat Oncol I-80147 Naples Italy;

    Univ Hosp Siena Oncol Dept Unit Radiat Oncol I-53100 Siena Italy;

    Univ Hosp Siena Oncol Dept Unit Radiat Oncol I-53100 Siena Italy;

    Magna Graecia Univ Catanzaro AOU Mater Domini Integrated Area Med Oncol I-88100 Catanzaro Italy;

    Univ Campania L Vanvitelli Dept Precis Med 7 Via Crecchio I-80138 Naples Italy;

    Univ Hosp Siena Emergency Dept &

    Diagnost Serv Unit Med Imaging I-53100 Siena Italy;

    Grand Metropolitan HospitalBianchi Melacrino More Oncol Dept Unit Med Oncol I-89124 Reggio Di;

    Grand Metropolitan HospitalBianchi Melacrino More Dept Diagnost Serv Unit Radiol I-89124 Reggio;

    Grand Metropolitan HospitalBianchi Melacrino More Dept Diagnost Serv Unit Radiol I-89124 Reggio;

    Osped Mare Integrated Dept Diagnost Radiol &

    Radiotherapy Unit Radiat Oncol I-80147 Naples Italy;

    IRCCS Ist Nazl Tumori Fdn G Pascale Epidemiol Unit I-80131 Naples Italy;

    Magna Graecia Univ Catanzaro AOU Mater Domini Integrated Area Med Oncol I-88100 Catanzaro Italy;

    Magna Graecia Univ Catanzaro AOU Mater Domini Integrated Area Med Oncol I-88100 Catanzaro Italy;

    Magna Graecia Univ Catanzaro AOU Mater Domini Integrated Area Med Oncol I-88100 Catanzaro Italy;

    Univ Campania L Vanvitelli Dept Precis Med 7 Via Crecchio I-80138 Naples Italy;

    Univ Campania L Vanvitelli Dept Precis Med 7 Via Crecchio I-80138 Naples Italy;

    Univ Campania L Vanvitelli Dept Precis Med 7 Via Crecchio I-80138 Naples Italy;

    Univ Campania L Vanvitelli Dept Precis Med 7 Via Crecchio I-80138 Naples Italy;

    Univ Hosp Siena Emergency Dept &

    Diagnost Serv Unit Med Imaging I-53100 Siena Italy;

    Univ Hosp Siena Oncol Dept Unit Radiat Oncol I-53100 Siena Italy;

    Grand Metropolitan HospitalBianchi Melacrino More Oncol Dept Unit Med Oncol I-89124 Reggio Di;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 肿瘤学;
  • 关键词

    non-small cell lung cancer; programmed cell death protein 1; radiomics; texture analysis; survival; nivolumab; immunology;

    机译:非小细胞肺癌;编程的细胞死亡蛋白1;辐射瘤;纹理分析;存活;生存;Nivolumab;免疫学;

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