PET/CT-tailored treatment of locally advanced oesophago-gastric junction adenocarcinoma: a report on the feasibility of the multicenter GastroPET study
Status PubMed-not-MEDLINE Jazyk angličtina Země Anglie, Velká Británie Médium electronic-ecollection
Typ dokumentu časopisecké články
PubMed
35035533
PubMed Central
PMC8753528
DOI
10.1177/17588359211065153
PII: 10.1177_17588359211065153
Knihovny.cz E-zdroje
- Klíčová slova
- PET/CT-guided preoperative treatment strategy, localised oesophago-gastric junction adenocarcinoma, metabolic imaging, non-responders,
- Publikační typ
- časopisecké články MeSH
BACKGROUND: Perioperative chemotherapy is a recommended treatment approach for localised oesophago-gastric junction adenocarcinoma, but not all patients respond to neoadjuvant chemotherapy. Early identification of non-responders and treatment adaptation in the preoperative period could improve outcomes. GastroPET is a national, multicentre phase II trial evaluating a 18FDG-PET/CT-guided preoperative treatment strategy with the R0 resection rate as a primary endpoint. Here, we report on the accuracy of the methodology, the feasibility of the study design and patient safety data after enrolment of the first 63 patients. METHODS: Patients with locally advanced oesophago-gastric junction adenocarcinoma (Siewert I - III) stage Ib-IIIc underwent baseline 18FDG-PET/CT scanning and re-evaluation after 14 days of oxaliplatinum-5FU-(docetaxel) chemotherapy. Responders were defined by a ⩾ 35% decrease in tumour FDG standardised uptake value (SUV)average from baseline. Responders continued with the same chemotherapy for 2 to 3 months prior to surgery. PET-non-responders switched to preoperative chemoradiotherapy [weekly carboplatin and paclitaxel with concurrent radiotherapy (45 Gy in 25 fractions)]. Here, we aim to confirm the feasibility of FDG-PET-based response assessment in a multicenter setting and to compare local versus central reading. In addition, we report on the feasibility of the study conduct and patient safety data. RESULTS: A total of 64 patients received baseline and sequential 14-day 18FDG-PET/CT scanning. And, 63 were allocated to the respective treatment arm according to PET-response [35 (56%) responders and 28 (44%) non-responders]. The concordance of local versus central reading of SUV changes was 100%. Until the date of this analysis, 47 patients (28 responders and 19 non-responders) completed surgery. Postoperative complications of grade ⩾ 3 (Common Terminology Criteria for Adverse Events, CTCAE Version 5.0) were reported in five responders (18%; 95% CI: 7.9-36%) and two non-responders (11%; 95% CI: 2.9-31%), with no statistical difference (p = 0.685). One patient in each arm died after surgery, leading to a postoperative in-hospital mortality rate of 4.3% (2/47 patients; 95% CI: 1.2-14%). CONCLUSION: Local and central FDG-SUV quantification and PET-response assessment showed high concordance. This confirms the accuracy of a PET-response-guided treatment algorithm for locally advanced oesophago-gastric junction cancer in a multicenter setting. Preoperative treatment adaptation revealed feasible and safe for patients.
3rd Department of Surgery 1st Faculty of Medicine Charles University Prague Czech Republic
Department of Comprehensive Cancer Care Masaryk Memorial Cancer Institute Brno Czech Republic
Department of Gastroenterology Masaryk Memorial Cancer Institute Brno Czech Republic
Department of Nuclear Medicine Masaryk Memorial Cancer Institute Brno Czech Republic
Department of Oncology University Hospital Olomouc Olomouc Czech Republic
Department of Pathology Masaryk Memorial Cancer Institute Brno Czech Republic
Department of Pharmacology Faculty of Medicine Masaryk University Brno Czech Republic
Department of Radiation Oncology Masaryk Memorial Cancer Institute Brno Czech Republic
Department of Surgery Masaryk Memorial Cancer Institute Brno Czech Republic
Faculty of Medicine Masaryk University Brno Czech Republic
Research Centre for Applied Molecular Oncology Masaryk Memorial Cancer Institute Brno Czech Republic
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