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Intratumor heterogeneity is biomarker specific and challenges the association with heterogeneity in multimodal functional imaging in head and neck squamous cell carcinoma

医学 头颈部鳞状细胞癌 头颈部 生物标志物 肿瘤异质性 成像生物标志物 基底细胞 癌症 模式治疗法 肿瘤异质性 肿瘤科 放射科 病理 头颈部癌 内科学 磁共振成像 外科 遗传学 生物
作者
Jacob H. Rasmussen,Anders Beck Olin,Giedrius Lelkaitis,Adam Espe Hansen,Flemming Littrup Andersen,Helle Hjorth Johannesen,Andreas Kjær,Barbara Malene Fischer,Lena Specht,Søren Møller Bentzen,Christian von Buchwald,Irene Wessel,Ivan R. Vogelius
出处
期刊:European Journal of Radiology [Elsevier BV]
卷期号:139: 109668-109668 被引量:15
标识
DOI:10.1016/j.ejrad.2021.109668
摘要

Abstract Rationale Tumor biopsy cannot detect heterogeneity and an association between heterogeneity in functional imaging and molecular biology will have an impact on both diagnostics and treatment possibilities. Purpose Multiparametric imaging can provide 3D information on functional aspects of a tumor and may be suitable for predicting intratumor heterogeneity. Here, we investigate the correlation between intratumor heterogeneity assessed with multiparametric imaging and multiple-biopsy immunohistochemistry. Methods In this prospective study, patients with primary or recurrent head and neck squamous cell carcinoma (HNSCC) underwent PET/MRI scanning prior to surgery. Tumors were removed en bloc and six core biopsies were used for immunohistochemical (IHC) staining with a predefined list of biomarkers: p40, p53, EGFR, Ki-67, GLUT1, VEGF, Bcl-2, CAIX, PD-L1. Intratumor heterogeneity of each IHC biomarker was quantified by calculating the coefficient of variation (CV) in tumor proportion score among the six core biopsies within each tumor lesion. The heterogeneity in the imaging biomarkers was assessed by calculating CV in 18F-fluorodeoxyglucose (FDG)-uptake, diffusion and perfusion. Concordance of the two variance measures was quantified using Spearman’s rank correlation Results Twenty-eight patients with a total of 33 lesions were included. There was considerable heterogeneity in most of the IHC biomarkers especially in GLUT1, PD-L1, Ki-67, CAIX and p53, however we only observed a correlation between the heterogeneity in GLUT1 and p53 and between Ki-67 and EGFR. Heterogeneity in FDG uptake and diffusion correlated with heterogeneity in cell density. Conclusion Considerable heterogeneity of IHC biomarkers was found, however, only few and weak correlations between the studied IHC markers were observed. The studied functional imaging biomarkers showed weak associations with heterogeneity in some of the IHC biomarkers. Thus, biological heterogeneity is not a general tumor characteristic but depends on the specific biomarker or imaging modality.
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