Department of Radiology, University of California San Diego , La Jolla, CA, USA.
Center for Personalized Cancer Therapy and Division of Hematology and Oncology, Department of Medicine, University of California San Diego, Moores Cancer Center , La Jolla, CA, USA.
Cancer Biol Ther. 2020 Nov 1;21(11):1067-1071. doi: 10.1080/15384047.2020.1834793.
Cancer diagnosis and therapy is quickly moving from the traditional histology-based approaches to genomic stratification, providing a huge opportunity for radiogenomics, associating imaging features with genomic data. Genome sequencing is time consuming, expensive and invasive whereas F-FDG PET/CT is readily available, fast and noninvasive. The aim of this study was to determine the relationship between the maximum standardized uptake value (SUV) and the frequency of 11 common oncogenic anomalies determined by specific common genomic alterations in tissue biopsies from patients with cancer. We retrospectively studied 102 consecutive untreated patients with gastrointestinal, lung, and breast cancer who underwent F-FDG PET/CT imaging, shortly prior to molecular testing by a biopsy for genomic profiling that consisted of 11 common DNA alterations: (1) TP53, (2) DNA repair, (3) EGFR, (4) PI3K/AKT/MTOR (PAM) pathway including PTEN, PIK3CA, AKT, TSC, CCNB1, MTOR, FBXW2, and NF2, (5) MEK, (6) CYCLIN including CCND,CDK, CDKN, and RB, (7) WNT, (8) ALK, (9) MYC, (10) MET, and (11) FGF/FGFR. Higher SUV was associated with the presence of TP53 and PAM genomic anomalies ( < .05), but not the other 9 gene groups ( > .05). More importantly, SUV was positively correlated with total number of oncogenic anomalies (r = 0.27, = .005). We propose higher SUV as an indicator for total number of common oncogenic anomalies. This finding is a step forward in noninvasive stratification of cancer patients, in terms of the overall load of oncogenic anomalies, based on their SUV.
癌症的诊断和治疗正迅速从传统的基于组织学的方法向基因组分层转变,为放射组学提供了巨大的机会,即将影像学特征与基因组数据联系起来。基因组测序既耗时、昂贵又具有侵入性,而 F-FDG PET/CT 则易于获得、快速且非侵入性。本研究旨在确定 SUV 的最大值与通过组织活检确定的 11 种常见致癌异常的频率之间的关系,这些异常是由特定的常见基因组改变引起的。我们回顾性研究了 102 例连续未经治疗的胃肠道、肺和乳腺癌患者,这些患者在进行 F-FDG PET/CT 成像后不久,通过活检进行了基因组分析,该活检包括 11 种常见的 DNA 改变:(1)TP53,(2)DNA 修复,(3)EGFR,(4)PI3K/AKT/MTOR(PAM)途径,包括 PTEN、PIK3CA、AKT、TSC、CCNB1、MTOR、FBXW2 和 NF2,(5)MEK,(6)CYCLIN 包括 CCND、CDK、CDKN 和 RB,(7)WNT,(8)ALK,(9)MYC,(10)MET,(11)FGF/FGFR。SUV 值较高与 TP53 和 PAM 基因组异常的存在相关(<0.05),但与其他 9 个基因群无关(>0.05)。更重要的是,SUV 与致癌异常的总数呈正相关(r=0.27,=0.005)。我们提出 SUV 作为常见致癌异常总数的指标。这一发现是朝着基于 SUV 对癌症患者进行整体致癌异常负荷的非侵入性分层迈出的一步。