Literature DB >> 33131408

Standardized uptake value (SUVmax) in 18F-FDG PET/CT is correlated with the total number of main oncogenic anomalies in cancer patients.

Amin Haghighat Jahromi1, Geraldine Chang1, Razelle Kurzrock2, Carl K Hoh1.   

Abstract

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 18F-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 (SUVmax) 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 18F-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 SUVmax was associated with the presence of TP53 and PAM genomic anomalies (p < .05), but not the other 9 gene groups (p > .05). More importantly, SUVmax was positively correlated with total number of oncogenic anomalies (r = 0.27, p = .005). We propose higher SUVmax 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 SUVmax.

Entities:  

Keywords:  18f-Fluorodeoxyglucose positron emission tomography (18F-FDG PET); Radiogenomics; cancer; genomic alterations; imaging; maximum standardized uptake value (SUVmax); oncogenic anomalies

Year:  2020        PMID: 33131408      PMCID: PMC7678945          DOI: 10.1080/15384047.2020.1834793

Source DB:  PubMed          Journal:  Cancer Biol Ther        ISSN: 1538-4047            Impact factor:   4.742


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