Potential of C-X-C-Chemokine-Receptor-Type-4-Directed PET/CT Using [¹⁸F]AlF-NOTA-QHY-04 in Identifying Molecular Subtypes of Small Cell Lung Cancer.

IF 4.4 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Yuxi Luo, Kai Cheng, Jingru Liu, Jinli Pei, Shengnan Xu, Xinzhi Zhao, Shijie Wang, Kunlong Zhao, Wanhu Li, Jie Liu, Jinming Yu
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引用次数: 0

Abstract

Objective: Molecular subtyping of small-cell lung cancer (SCLC) has major implications for prognostic relevance and treatment guidance. This study aimed to explore the feasibility of a novel tracer targeting C-X-C-chemokine-receptor-type-4 (CXCR4) for distinguishing different SCLC subtypes.

Materials and methods: Thirty-five patients with pathologically confirmed SCLC were enrolled in this prospective study. Immunohistochemical staining was performed to classify the molecular subtypes into SCLC-A, SCLC-N, SCLC-P, and SCLC-I. [¹⁸F]AlF-NOTA-QHY-04 PET/CT parameters were obtained, including the maximum, mean, and peak standard uptake values (SUVmax, SUVmean, and SUVpeak, respectively) and the ratios of tumors (T) and normal tissues (NT) based on the SUVmax (T/NT). These parameters were compared among the molecular subtypes. A receiver operating characteristic (ROC) curve was used to analyze the performance of the parameters for distinguishing SCLC-N from other subtypes and neuroendocrine (NE) subtypes (SCLC-A and SCLC-N) from non-NE subtypes (SCLC-P and SCLC-I).

Results: The molecular subtypes were SCLC-A (n = 17), SCLC-N (n = 6), SCLC-P (n = 7), and SCLC-I (n = 5). The SCLC-N subtype exhibited significantly higher uptake in both primary tumors and lymph node metastases than the other three subtypes (P < 0.05). When SCLC-N was compared with the other three subtypes combined (referred to as "other SCLCs"), all parameters were significantly higher in the SCLC-N group (P < 0.05). ROC analysis showed that these parameters had high accuracy in distinguishing SCLC-N from other SCLCs (area under ROC curve: 0.868-0.948 for primary tumors and 0.783-0.888 for lymph node metastases). Compared with the non-NE group, the SUVmax, SUVmean, and T/NTlung were significantly higher in the NE group for primary tumors. ROC analysis showed moderate accuracy in distinguishing between the NE and non-NE groups (ROC area: 0.692-0.786 for primary tumors and 0.692-0.815 for lymph node metastases).

Conclusion: Our preliminary findings indicate that CXCR4-directed PET/CT imaging using [¹⁸F]AlF-NOTA-QHY-04 may differentiate between SCLC-N and other molecular subtypes and between NE and non-NE subtypes of SCLC.

[¹⁸F]AlF-NOTA-QHY-04在小细胞肺癌分子亚型鉴定中的应用价值
目的:小细胞肺癌(SCLC)的分子分型对预后和治疗指导具有重要意义。本研究旨在探索一种新的靶向c - x -c趋化因子受体-4 (CXCR4)的示踪剂用于区分不同SCLC亚型的可行性。材料和方法:本前瞻性研究纳入了35例经病理证实的SCLC患者。免疫组织化学染色将分子亚型分为SCLC-A、SCLC-N、SCLC-P和SCLC-I。[¹⁸F]获得AlF-NOTA-QHY-04的PET/CT参数,包括最大、平均和峰值标准摄取值(分别为SUVmax、SUVmean和SUVpeak)以及基于SUVmax (T/NT)的肿瘤(T)与正常组织(NT)之比。这些参数在分子亚型之间进行了比较。采用受试者工作特征(ROC)曲线分析各参数区分SCLC-N与其他亚型、神经内分泌(NE)亚型(SCLC-A和SCLC-N)与非NE亚型(SCLC-P和SCLC-I)的性能。结果:分子亚型为SCLC-A (n = 17)、SCLC-N (n = 6)、SCLC-P (n = 7)、SCLC-I (n = 5)。SCLC-N在原发肿瘤和淋巴结转移中的摄取明显高于其他3种亚型(P < 0.05)。SCLC-N与其他三种亚型(简称“其他sclc”)合并比较,SCLC-N组各项指标均显著高于其他亚型(P < 0.05)。ROC分析显示,这些参数对SCLC-N与其他sclc的鉴别准确度较高(原发肿瘤的ROC曲线下面积为0.868-0.948,淋巴结转移的ROC曲线下面积为0.783-0.888)。与非NE组相比,NE组原发性肿瘤的SUVmax、SUVmean和T/NTlung均显著高于非NE组。ROC分析显示,区分NE组和非NE组的准确度中等(原发肿瘤的ROC面积为0.692-0.786,淋巴结转移的ROC面积为0.692-0.815)。结论:我们的初步研究结果表明,使用[¹⁸F]AlF-NOTA-QHY-04进行cxcr4定向PET/CT成像可以区分SCLC- n和其他分子亚型,以及NE和非NE亚型。
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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来源期刊
Korean Journal of Radiology
Korean Journal of Radiology 医学-核医学
CiteScore
10.60
自引率
12.50%
发文量
141
审稿时长
1.3 months
期刊介绍: The inaugural issue of the Korean J Radiol came out in March 2000. Our journal aims to produce and propagate knowledge on radiologic imaging and related sciences. A unique feature of the articles published in the Journal will be their reflection of global trends in radiology combined with an East-Asian perspective. Geographic differences in disease prevalence will be reflected in the contents of papers, and this will serve to enrich our body of knowledge. World''s outstanding radiologists from many countries are serving as editorial board of our journal.
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