Exploring the value of FAP-targeted PET/CT in differentiating breast cancer molecular subtypes: a preliminary study.

IF 8.6 1区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Journal of Nuclear Medicine and Molecular Imaging Pub Date : 2024-08-12 DOI:10.1007/s00259-024-06873-w
Tianxin Liu, Shengnan Xu, Kai Cheng, Jinli Pei, Shijie Wang, Chao Li, Wanhu Li, Zhiyong Yu, Jinming Yu, Jie Liu
{"title":"Exploring the value of FAP-targeted PET/CT in differentiating breast cancer molecular subtypes: a preliminary study.","authors":"Tianxin Liu, Shengnan Xu, Kai Cheng, Jinli Pei, Shijie Wang, Chao Li, Wanhu Li, Zhiyong Yu, Jinming Yu, Jie Liu","doi":"10.1007/s00259-024-06873-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>This prospective study aims to evaluate the value of [<sup>18</sup>F]AlF-NOTA-fibroblast activation protein inhibitor (FAPI)-04 positron emission tomography-computed tomography (PET/CT) in predicting molecular subtypes of breast cancer.</p><p><strong>Methods: </strong>The study consecutively recruited patients suspected of having breast cancer from a single center who were prospectively enrolled from July 2023 to May 2024 and underwent [<sup>18</sup>F]AlF-NOTA-FAPI-04 PET/CT. This study compared the differences in tracer uptake among breast cancers with different adverse prognostic factors and molecular subtypes. The classification performance for each molecular subtype of breast cancer was assessed using a receiver operating characteristic (ROC) curve.</p><p><strong>Results: </strong>Fifty-three participants (mean age, 51 ± 11 years; 52 females) were evaluated. Breast cancer lesions with adverse prognostic factors showed higher tracer uptake. The five different molecular subtypes exhibited varying levels of uptake. The luminal A and luminal B (HER2-negative) subtypes had relatively low uptake, while the luminal B (HER2-positive), HER2-positive, and triple-negative subtypes had relatively high uptake. ROC analysis identified the max standardized uptake value (SUV<sub>max</sub>) as a significant classifier (AUC = 0.912, P = 0.0005) for the luminal A subtype, with 100% sensitivity and 83% specificity. For predicting the luminal B (HER2-negative) subtype, SUV<sub>max</sub> had an AUC of 0.770 (P = 0.0015). SUV<sub>max</sub>, with an AUC of 0.781 (P = 0.003), was used to identify the triple-negative subtype tumors, resulting in a sensitivity of 100% and specificity of 51%. Lastly, the ROC curve showed the cut-off 15.40 (AUC = 0.921, P < 0.0001) could classify luminal A & luminal B (HER2-negative), and luminal B (HER2-positive) & HER2-positive & triple-negative, yielding a sensitivity of 94% and specificity of 79%.</p><p><strong>Conclusion: </strong>The uptake of [<sup>18</sup>F]AlF-NOTA-FAPI-04 is significantly correlated with the molecular subtypes of breast cancer, and [<sup>18</sup>F]AlF-NOTA-FAPI-04 PET/CT is a potential tool for noninvasive identification of luminal A subtypes and guidance of FAP-targeted therapies.</p>","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":null,"pages":null},"PeriodicalIF":8.6000,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Nuclear Medicine and Molecular Imaging","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00259-024-06873-w","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING","Score":null,"Total":0}
引用次数: 0

Abstract

Purpose: This prospective study aims to evaluate the value of [18F]AlF-NOTA-fibroblast activation protein inhibitor (FAPI)-04 positron emission tomography-computed tomography (PET/CT) in predicting molecular subtypes of breast cancer.

Methods: The study consecutively recruited patients suspected of having breast cancer from a single center who were prospectively enrolled from July 2023 to May 2024 and underwent [18F]AlF-NOTA-FAPI-04 PET/CT. This study compared the differences in tracer uptake among breast cancers with different adverse prognostic factors and molecular subtypes. The classification performance for each molecular subtype of breast cancer was assessed using a receiver operating characteristic (ROC) curve.

Results: Fifty-three participants (mean age, 51 ± 11 years; 52 females) were evaluated. Breast cancer lesions with adverse prognostic factors showed higher tracer uptake. The five different molecular subtypes exhibited varying levels of uptake. The luminal A and luminal B (HER2-negative) subtypes had relatively low uptake, while the luminal B (HER2-positive), HER2-positive, and triple-negative subtypes had relatively high uptake. ROC analysis identified the max standardized uptake value (SUVmax) as a significant classifier (AUC = 0.912, P = 0.0005) for the luminal A subtype, with 100% sensitivity and 83% specificity. For predicting the luminal B (HER2-negative) subtype, SUVmax had an AUC of 0.770 (P = 0.0015). SUVmax, with an AUC of 0.781 (P = 0.003), was used to identify the triple-negative subtype tumors, resulting in a sensitivity of 100% and specificity of 51%. Lastly, the ROC curve showed the cut-off 15.40 (AUC = 0.921, P < 0.0001) could classify luminal A & luminal B (HER2-negative), and luminal B (HER2-positive) & HER2-positive & triple-negative, yielding a sensitivity of 94% and specificity of 79%.

Conclusion: The uptake of [18F]AlF-NOTA-FAPI-04 is significantly correlated with the molecular subtypes of breast cancer, and [18F]AlF-NOTA-FAPI-04 PET/CT is a potential tool for noninvasive identification of luminal A subtypes and guidance of FAP-targeted therapies.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
探索 FAP 靶向 PET/CT 在区分乳腺癌分子亚型中的价值:一项初步研究。
目的:这项前瞻性研究旨在评估[18F]AlF-NOTA-成纤维细胞活化蛋白抑制剂(FAPI)-04正电子发射计算机断层扫描(PET/CT)在预测乳腺癌分子亚型方面的价值:该研究连续招募了来自一个中心的疑似乳腺癌患者,这些患者在2023年7月至2024年5月期间接受了前瞻性入组,并接受了[18F]AlF-NOTA-FAPI-04 PET/CT检查。这项研究比较了具有不同不良预后因素和分子亚型的乳腺癌在示踪剂摄取方面的差异。使用接收器操作特征曲线(ROC)评估了每种乳腺癌分子亚型的分类性能:对 53 名参与者(平均年龄 51 ± 11 岁;52 名女性)进行了评估。具有不良预后因素的乳腺癌病变显示出更高的示踪剂摄取率。五种不同的分子亚型表现出不同的摄取水平。管腔 A 和管腔 B(HER2 阴性)亚型的摄取率相对较低,而管腔 B(HER2 阳性)、HER2 阳性和三阴性亚型的摄取率相对较高。ROC分析确定最大标准化摄取值(SUVmax)是管腔A亚型的重要分类器(AUC = 0.912,P = 0.0005),灵敏度为100%,特异性为83%。在预测管腔 B(HER2 阴性)亚型时,SUVmax 的 AUC 为 0.770(P = 0.0015)。SUVmax的AUC为0.781(P = 0.003),用于识别三阴性亚型肿瘤,灵敏度为100%,特异性为51%。最后,ROC 曲线显示临界值为 15.40(AUC = 0.921,P 结论):[18F]AlF-NOTA-FAPI-04的摄取与乳腺癌的分子亚型显著相关,[18F]AlF-NOTA-FAPI-04 PET/CT是无创鉴定管腔A亚型和指导FAP靶向治疗的潜在工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
15.60
自引率
9.90%
发文量
392
审稿时长
3 months
期刊介绍: The European Journal of Nuclear Medicine and Molecular Imaging serves as a platform for the exchange of clinical and scientific information within nuclear medicine and related professions. It welcomes international submissions from professionals involved in the functional, metabolic, and molecular investigation of diseases. The journal's coverage spans physics, dosimetry, radiation biology, radiochemistry, and pharmacy, providing high-quality peer review by experts in the field. Known for highly cited and downloaded articles, it ensures global visibility for research work and is part of the EJNMMI journal family.
期刊最新文献
Quantitative aortic Na[18F]F positron emission tomography computed tomography as a tool to associate vascular calcification with major adverse cardiovascular events Development and characterisation of [18F]TTDP, a novel T cell immunoglobulin and ITIM domain tracer, in humanised mice and non-human primates Development of STING probes and visualization of STING in multiple tumor types Survival impact of [225Ac]Ac-DOTATOC alpha-therapy in a preclinical model of pancreatic neuroendocrine tumor liver micrometastases Comparison of PSMA immunohistochemistry scoring systems to parametric [18F]PSMA-1007 PET/MRI in primary prostate cancer
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1