Work

TP53 mutations and number of alterations correlate with maximum standardized uptake value (SUVmax) determined by positron emission tomography/computed tomography (PET/CT) [18F] fluorodeoxyglucose (18F-FDG PET)

Year: 2018

Type: article

Abstract: // Geraldine H. Chang 1 , Razelle Kurzrock 2 , Lisa Tran 2 , Maria Schwaederle 2 and Carl K. Hoh 1 1 Department of Radiology, Nuclear Medicine UC San Diego Health, San Diego, California, USA 2 Center for Personalized Cancer Therapy, UCSD Moores Cancer Center, La Jolla, California, USA Correspondence to: Carl K. Hoh, email: [email protected] Keywords: TP53; personalized cancer therapy; PET/CT; SUVmax Received: August 31, 2017 Accepted: February 10, 2018 Epub: February 16, 2018 Published: March 06, 2018 ABSTRACT Background: Our study explored the relationship between the molecular changes in cancer and the maximum standardized uptake value (SUVmax) determined by positron emission tomography/computed tomography (PET/CT) with [ 18 F] fluorodeoxyglucose ( 18 F-FDG). Results: A higher SUVmax correlated with TP53 alterations, but not with histologic diagnosis or other gene/pathway mutations or copy number alterations. In data from breast, lung and colon cancer, patients with the highest SUVmax show more genomic anomalies compared to those with the lowest SUVmax ( P < 0.005). Conclusions: A higher SUVmax on 18 F-FDG PET/CT is associated with TP53 tumor suppressor gene anomalies and the presence of more genomic anomalies. Since TP53 alterations and high SUVmax both correlate with a poor prognosis, the underlying mechanism/implications of this association merit further study. Methods: Overall, 176 patients with diverse cancers had a tumor biopsy within 6 months after a PET/CT image for SUVmax measurement. The biopsy was interrogated by next generation sequencing (182 to 315 genes). TP53, EGFR, ALK, MYC, MET and FGF/FGFR genes and DNA repair, PI3K/Akt/mTOR (PAM), MEK, CYCLIN, and WNT pathway genes were analyzed.

Source: Oncotarget

DOI: 10.18632/oncotarget.24508

Authors: Geraldine H. Chang, Razelle Kurzrock, Lisa Tran, Maria Schwaederle, Carl K. Hoh

Institutions: UC San Diego Health System, University of California San Diego, Moores Cancer Center

Language: English

Topic: Medical Imaging Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: diamond

Funder: National Cancer Institute