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Monitoring metabolic response using FDG PET-CT during targeted therapy for metastatic colorectal cancer
Erwin Woff1, Alain Hendlisz2, Camilo Garcia3
1Nuclear Medicine Department, Institut Jules Bordet, Université libre de Bruxelles, 1 rue Héger-Bordet, 1000, Brussels, Belgium. erwin.woff@bordet.be.
Introduction:
The introduction of targeted drugs has had a significant impact on the approach to assessing tumour response. These drugs often induce a rapid cytostatic effect associated with a less pronounced and slower tumoural volume reduction, thereby impairing the correlation between the absence of tumour shrinkage and the patient's unlikelihood of benefit. The aim of the study was to assess the predictive value of early metabolic response (mR) evaluation after one cycle, and its interlesional heterogeneity to a later metabolic and morphological response assessment performed after three cycles in metastatic colorectal cancer (mCRC) patients treated with combined sorafenib and capecitabine.
Methods:
This substudy was performed within the framework of a wider prospective multicenter study on the predictive value of early FDG PET-CT response assessment (SoMore study). A lesion-based response analysis was performed, including all measurable lesions identified on the baseline PET. On a per-patient basis, a descriptive 4-class response categorization was applied based upon the presence and proportion of non-responding lesions. For dichotomic response comparison, all patients with at least one resistant lesion were classified as non-responding.
Results:
On baseline FDG PET-CT, 124 measurable "target" lesions were identified in 38 patients. Early mR assessments showed 18 patients (47 %) without treatment resistant lesions and 12 patients (32 %) with interlesional response heterogeneity. The NPV and PPV of early mR were 85 % (35/41) and 84 % (70/83), respectively, on a per-lesion basis and 95 % (19/20) and 72 % (13/18), respectively, on a dichotomized per-patient basis.
Conclusions:
Early mR assessment performed after one cycle of sorafenib-capecitabine in mCRC is highly predictive of non-response at a standard response assessment time. The high NPV (95 %) of early mR could be useful as the basis for early treatment discontinuation or adaptation to spare patients from exposure to non-effective drugs.
Insights
Early metabolic response (mR) assessment after one cycle of sorafenib-capecitabine in metastatic colorectal cancer (mCRC) predicts later outcomes. A high negative predictive value (NPV) suggests early mR can guide treatment decisions, potentially avoiding ineffective therapies.
Area of Science:
- Oncology
- Radiology
- Pharmacology
Background:
- Targeted therapies in metastatic colorectal cancer (mCRC) present challenges in assessing treatment response due to cytostatic effects.
- Traditional tumor volume reduction metrics may not accurately reflect patient benefit with targeted agents.
Purpose of the Study:
- To evaluate the predictive accuracy of early metabolic response (mR) after one cycle of treatment.
- To assess the correlation between early mR, interlesional heterogeneity, and later metabolic/morphological response in mCRC patients.
- To determine the predictive value of early FDG PET-CT response in patients receiving sorafenib and capecitabine.
Main Methods:
- A substudy of the prospective multicenter SoMore study.
- Utilized lesion-based analysis of all measurable lesions on baseline FDG PET-CT.
- Applied a 4-class response categorization per patient based on non-responding lesions, with a dichotomized classification for non-responders.
Main Results:
- 124 target lesions in 38 mCRC patients were analyzed.
- Early mR identified 47% without resistant lesions and 32% with interlesional heterogeneity.
- High negative predictive value (NPV) of 95% for early mR on a per-patient basis.
Conclusions:
- Early metabolic response (mR) assessment after one cycle of sorafenib-capecitabine is a strong predictor of non-response in mCRC.
- The high NPV of early mR supports its use for early treatment discontinuation or adaptation.
- This approach can help spare patients from ineffective and potentially toxic treatments.
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