| Literature DB >> 30064385 |
Keith W H Chiu1, Ka-On Lam2,3, H An1, Gavin T C Cheung4, Johnny K S Lau5, Tim-Shing Choy5, Victor H F Lee6,7.
Abstract
BACKGROUND: 18F-FDG PET-CT is commonly used to monitor treatment response in patients with metastatic colorectal cancer (mCRC). With improvement in systemic therapy, complete metabolic response (CMR) is increasingly encountered but its clinical significance is undefined. The study examined the long-term outcomes and recurrence patterns in these patients.Entities:
Keywords: 18F-FDG PET; Complete metabolic response; Metastatic colorectal cancer; Palliative; Systemic therapy
Mesh:
Substances:
Year: 2018 PMID: 30064385 PMCID: PMC6069713 DOI: 10.1186/s12885-018-4687-9
Source DB: PubMed Journal: BMC Cancer ISSN: 1471-2407 Impact factor: 4.430
Patient demographics and treatment characteristics (n = 40). Mann-Whitney U test was used for continuous variables and Chi-Square test was used for categorical variables
| All CMR | Sustained CMR | PMD | ||
|---|---|---|---|---|
| Median Age (years) | 60 (35–80) | 62 (35–74) | 59 (41–80) | 0.408 |
| Sex (Male:Female) | 24:16 | 5:9 | 19:7 | 0.021 |
| ECOG status | ||||
| • 0 | 3 | 3 | 0 | |
| • 1 | 35 | 11 | 24 | 0.013 |
| • 2 | 2 | 0 | 2 | |
| Primary site | ||||
| • Right colon | 9 | 5 | 4 | 0.149 |
| • Left colon | 31 | 9 | 22 | |
| T staging | ||||
| • T3 | 16 | 7 | 9 | 0.266 |
| • T4 | 18 | 6 | 12 | |
| • Tx | 6 | 1 | 5 | |
| N staging | ||||
| • N0 | 2 | 1 | 1 | |
| • N1 | 15 | 6 | 9 | 0.432 |
| • N2 | 18 | 6 | 12 | |
| • Nx | 5 | 1 | 4 | |
| KRAS status | ||||
| • Wild type | 29 | 11 | 18 | 0.355 |
| • Mutation | 8 | 1 | 7 | |
| • Unknown | 3 | 2 | 1 | |
| Metastatic Site | ||||
| • Liver | 17 | 3 | 14 | 0.049 |
| • Lung | 7 | 3 | 4 | 0.416 |
| • Lymph node | 20 | 8 | 12 | 0.520 |
| • Peritoneal | 11 | 4 | 7 | 0.914 |
| • Others | 4 | 2 | 2 | 0.520 |
| Chemotherapy regime | ||||
| • XELOX | 29 | 9 | 20 | |
| • FOLFOX | 5 | 3 | 2 | |
| • XELIRI | 2 | 1 | 1 | 0.989 |
| • FOLFIRI | 2 | 1 | 1 | |
| • XELODA | 2 | 0 | 2 | |
| Biological agent | ||||
| • None | 16 | 9 | 7 | |
| • Bevacizumab | 8 | 1 | 7 | 0.021 |
| • Cetuximab | 16 | 4 | 12 | |
| • Median number of chemotherapy cycle to achieve complete metabolic response (CMR) | 4 (3–12) | 5 (4–12) | 4 (3–10) | 0.234 |
| • Median number of chemotherapy cycles received after CMR was achieved | 3 (0–8) | 3 (0–8) | 3 (0–8) | 0.980 |
Distribution of measurable and non-measurable lesions on baseline PET-CT
| Metastatic sites | Measurable lesions | Non-measurable lesions | |
|---|---|---|---|
| Total No | 59 | 44 | 38 |
| Liver | 17 | 27 | 5 |
| Lung | 6 | 1 | 5 |
| Lymph Nodes | 20 | 7 | 18 |
| Peritoneal | 11 | 7 | 7 |
| Others | 5 | 2 | 3 |
Fig. 1Discordance between PERCIST and RECIST criteria in a 66-year-old male patient with kras wild-type T4N1M1 recto-sigmoid adenocarcinoma. Top row: PET and CT images performed at baseline after surgical resection of the primary tumor. a Maximum-intensity-projection (MIP) image shows a hypermetabolic mass in segment V/VIII of the liver (blue arrow 1). b Corresponding contrast enhanced CT image confirming the presence of a liver metastasis (white arrow 2). Bottom row: PET and CT images after 10 cycles of XELOX and cetuximab. c MIP image shows CMR compared to (d) CT image demonstrates a residual lesion (white arrow 3). The patient was considered to have partial response to treatment by RECIST criteria. The patient was considered to have progressive metabolic disease after 5 months of complete metabolic response
Fig. 2ROC curve of using SUVmax to predict disease progression of individual lesion. A SUV max of 4.4 has a 70% sensitivity and 71% specificity of predicting progressive disease of the individual lesion. The ROC AUC is 0.734 (95% CI 0.602–0.865, p = 0.004)
Fig. 3Kaplan-Meier survival plots according to whether patient achieved sustained CMR. Median OS for patients who had sustained CMR were significantly longer than those who had subsequent PMD (Not reached vs 37.7 months, HR 5.329 95%CI 2.481–11.45, p < 0.001)
Baseline characteristics and association with survival outcomes
| Characteristics |
| % | Median PFS (months) | HR (95% CI), | Median OS (months) | HR (95% CI), |
|---|---|---|---|---|---|---|
| Overall cohort | 40 | 100 | 15.6 | 44.6 | ||
| Sex | ||||||
| • Male | 24 | 60.0 | 14.3 | 0.473 (0.205–1.092) | 43.7 | 0.591 (0.267–1.308) |
| • Female | 16 | 40.0 | 45.3 | 51.3 | ||
| Age | ||||||
| • < 60 | 20 | 50.0% | 15.4 | 0.691 (0.317–1.509) | 43.1 | 0.569 (0.264–1.223) |
| • > 60 | 20 | 50.0% | 16.0 | 63.1 | ||
| T stage | ||||||
| • T3 | 16 | 40.0% | 14.4 | 0.975 (0.413–2.299) | 51.3 | 1.363 (0.581–3.194) |
| • T4 | 18 | 45.0% | 25.5 | 44.6 | ||
| N stage | ||||||
| • N1 | 16 | 40.0% | 13.3 | 1.108 (0.564–2.175) | 43.7 | 0.978 (0.516–1.852) |
| • N2 | 17 | 42.5% | 16.0 | 61.7 | ||
| Serum CEA level at diagnosis | ||||||
| • Normal | 19 | 47.5% | 48.7 | 2.879 (1.269–6.534) | 74.2 | 2.355 (1.081–5.133) |
| • Raised | 21 | 52.5% | 12.1 | 41.4 | ||
| Metastatic sites | ||||||
| • Single | 22 | 55.0% | 16.1 | 1.090 (0.504–2.361) | 44.2 | 0.869 (0.406–1.859) |
| • Multiple | 18 | 45.0% | 14.4 | 51.4 |