No abstract

We previously demonstrated that circulating tumour cells (CTCs) are detectable by the MelCAM and high molecular weight melanoma-associated antigen (HMW-MAA)-dependent CellSearch platform. However, CTCs which do not express these capture and detection markers are not detectable by CellSearch. Consequently, we explored the use of isolation by size of epithelial tumour cells (ISET), a marker independent, filtration-based device to determine the prevalence and heterogeneity of CTCs in metastatic cutaneous melanoma patients. Ninety patients were prospectively recruited and blood samples taken before treatment. Patients' blood was filtered using the ISET platform. CTCs were enumerated using dual immunohistochemistry with positive selection by S100 expression and exclusion of leucocytes and endothelial cells expressing CD45 or CD144, respectively. A panel of markers (Melan-A, MITF, MelCAM, high molecular melanoma-associated antigen, CD271 and MAGEC) was also examined. Fifty-one patients (57%) had CTCs (range 1-44 CTCs/4 ml blood) and 12 patients also had circulating tumour microemboli. Seven patients had S100- CTCs, 11 patients' CTCs were S100+ and 33 patients had S100+ and S100- CTCs. Substantial intrapatient and interpatient heterogeneity was observed for all other melanoma-associated markers. CTCs in metastatic cutaneous melanoma are detectable using the flexible marker-independent ISET platform. CTCs display significant marker expression heterogeneity implying that marker-dependent platforms would not detect all CTCs and multimarker assays are now required to reveal the biological significance of this CTC heterogeneity.

This is the first study to detect GPC3-positive CTCs in HCC, important for drug development with this target. The significant association of circulating CK18 with OS in HCC further exemplifies the utility of circulating biomarkers in cancer.

ObjectiveTo report a simplified and effective method for substratification of M1 castrate-resistant prostate cancer (CRPC) by correlating progression-free (PFS) and overall survival (OS) with simple quantification of skeletal metastases. Patients and MethodsIn all, 561 men with M1 CRPC were studied longitudinally. Individual bone scan disease burden, quantified by counting bone metastasis number, was correlated with clinical outcome using specific threshold points of 1-4, 5-20 and >20 detectable lesions. ResultsPatients with a higher metastasis number had a shorter PFS and OS (hazard ratio [HR] 2.0, 95% confidence interval [CI] 1.7-2.4; P < 0.001). Patients with 1-4 metastases had much better PFS and OS than those with 5-20 metastases. The median PFS and OS in the latter was 10.9 (95% CI 8.4-12.8) and 22.1 (95% CI: 18.5-24.5) months, respectively. PFS and OS for patients with >20 metastases were shorter still [median 5.3 (95% CI 3.4-6.9) months and 13.3 (95% CI 11.3-17.6) months, respectively]. Dichotomising into cohorts with 1-4 and ≥5 metastases, the latter group had considerably poorer PFS [8.4 (95% CI 6.8-10.3) months; P < 0.001) and OS [18.7 (95% CI 17.5-22.1) months; P < 0.001]. ConclusionsDichotomising patients with CRPC into cohorts with 1-4 or ≥5 skeletal metastases identifies a better and a worse cohort in a manner that is easy and clinically accessible. This simple method facilitates disease stratification and patient management, enabling clinicians to counsel patients more effectively about long-term outcomes and to help select intervention therapies more effectively.