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Finzel et al. J Cancer Metastasis Treat 2018;4:21  I  http://dx.doi.org/10.20517/2394-4722.2018.10                             Page 5 of 10
























               Figure 2. Patient distribution according to discrepancy between solid and liquid biopsies. Patients were classified according to Figure 1A.
               The percentage of “fully shared”, “partially shared”, “only in solid” and “only in liquid” patients was then calculated

























               Figure 3. Variant distribution according to discrepancy between solid and liquid biopsy. Variants detected in the samples across different
               cancer types were classified according to Figure 1B. The percentage of “shared”, “solid” and “liquid” was then calculated


               mutations detected only in the blood, which can provide information about spatial tumor heterogeneity,
               represented 9% of the total [Figure 3].


               Next, we studied how the distribution of these three variant categories could be influenced by the time
               elapsed between the collection of the solid biopsy and the blood biopsy. As expected, the percentage of
               “shared” variants decreased progressively as the time elapsed between sampling increased. The opposite
               trend was observed for the percentage of “solid” and “liquid” [Supplementary Table 4]. In fact, when the
               solid biopsy was collected more than one year before the blood sample, the number of shared variants was
               only one third that of recent biopsies (less than 30 days), while the number of “solid” or “liquid” variants
               increased by around one-third and double, respectively. These data confirm that the mutations in a tumor
               change over time, and that this temporal heterogeneity can be demonstrated by comparing the solid and
               liquid biopsies at different collection times.


               Therapeutic implication of addressing tumor heterogeneity
               In order to understand the biological and clinical implications of the variants identified in the tissue and
               blood analyses, we grouped the mutations into four different categories based on their impact on the function
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