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. 2016 Jun 14;114(12):1367-75.
doi: 10.1038/bjc.2016.121.

Circulating tumour cells as a biomarker for diagnosis and staging in pancreatic cancer

Affiliations

Circulating tumour cells as a biomarker for diagnosis and staging in pancreatic cancer

J S Ankeny et al. Br J Cancer. .

Abstract

Background: Current diagnosis and staging of pancreatic ductal adenocarcinoma (PDAC) has important limitations and better biomarkers are needed to guide initial therapy. We investigated the performance of circulating tumour cells (CTCs) as an adjunctive biomarker at the time of disease presentation.

Methods: Venous blood (VB) was collected prospectively from 100 consecutive, pre-treatment patients with PDAC. Utilising the microfluidic NanoVelcro CTC chip, samples were evaluated for the presence and number of CTCs. KRAS mutation analysis was used to compare the CTCs with primary tumour tissue. CTC enumeration data was then evaluated as a diagnostic and staging biomarker in the setting of PDAC.

Results: We found 100% concordance for KRAS mutation subtype between primary tumour and CTCs in all five patients tested. Evaluation of CTCs as a diagnostic revealed the presence of CTCs in 54/72 patients with confirmed PDAC (sensitivity=75.0%, specificity=96.4%, area under the curve (AUROC)=0.867, 95% CI=0.798-0.935, and P<0.001). Furthermore, a cut-off of ⩾3 CTCs in 4 ml VB was able to discriminate between local/regional and metastatic disease (AUROC=0.885; 95% CI=0.800-0.969; and P<0.001).

Conclusion: CTCs appear to function well as a biomarker for diagnosis and staging in PDAC.

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Conflict of interest statement

Hsian-Rong Tseng, Co-Founder, Cytolumina Technologies Corp. Inc. The remaining authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Study design and CTC detection principles. (A) Flow diagram depicting VB draws from our study cohort followed by CTC enumeration on NanoVelcro Chips and subsequent correlation with diagnostic and staging information. (B) Schematic depicting CTC identification via a 4-colour ICC approach in conjunction with high-resolution fluorescent microscopy. Representative images of 2 common CTC and WBC staining patterns are shown at × 400 magnification.
Figure 2
Figure 2
Study cohort characteristics. Diagnostic and staging flowchart of enrolled patients in the study.
Figure 3
Figure 3
Validation of ICC and evaluation of tumour origin for CTCs by KRAS mutational analysis. (A) Flow diagram depicting the confirmation of tumour origin by isolating and sequencing CTCs and patient matched primary tumour tissue. (B) Sanger sequencing results for KRAS codon-12 mutations. CTCs, WBCs, and primary tumour tissue for two of the patients are depicted. Patient A has a G12V mutation and patient B has a G12D mutation. Both patients' WBCs were found to have wild-type KRAS sequences.
Figure 4
Figure 4
CTCs as a diagnostic biomarker. (A) Comparison of CTC enumeration in PDAC and non-adenocarcinoma diseases. (B) ROC curve for illustration of CTC performance in the discrimination of PDAC from non-adenocarcinoma diseases. CTC AUROC=0.867 (95% CI 0.798–0.935, P<0.001).
Figure 5
Figure 5
CTCs as a staging biomarker. (A) CTC enumeration showing correlation with PDAC stage. (B) CTC enumeration in local/regional (stages I–III) and metastatic (stage IV) disease. (C) Comparison of the performance of CTCs and CA19-9, in discriminating local/regional from metastatic disease. The CTC AUROC was 0.885 (95% CI=0.800–0.969 and P<0.001), the CA19-9 AUROC was 0.690 (95% CI=0.551–0.829 and P=0.014).

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