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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 7 of 10

               Table 1. Damaging variants detected in the “liquid” category and their clinical implication according to cancer type
                Cancer type analysed  Gene       No. of variants               Therapeutic value
                Breast cancer HR+     ESR1            2        Resistance to aromatase inhibitors [10]
                                      KRAS            1        Phase 2 trial (NCT02576444)
                                      TP53            3        Phase 2 trial (NCT02576444)
                Cholangiocarcinoma    PIK3CA          1        Phase 2 trial (NCT02465060)
                Colorectal cancer     KRAS            4        Resistance to anti-EGFR antibodies [11]
                                      PIK3CA          1        Resistance to anti-EGFR antibodies [12]
                                      TP53            2        Phase 2 trial (NCT02576444)
                Endometrial carcinoma  TP53           1        Phase 2 trial (NCT02576444)
                Gastric cancer        PIK3CA          1        Phase 2 trial (NCT02465060)
                GBM                   BRAF            1        Phase 2 trial (NCT02465060)
                GIST                  KIT             1        Resistance to KIT/PDGFRA-tyrosine kinase inhibitors [13]
                NSCLC                 EGFR            1        Resistance to EGFR-tyrosine kinase inhibitors [14]
                                      GNAS            1        Unknown
                                      MAP2K1          1        Sensitivity to MEK inhibitors [15]
                Pancreatic cancer     KRAS            1        Phase 2 trial (NCT02576444)
                Prostate cancer       TP53            2        Phase 2 trial (NCT02576444)
               HR: hormone receptor; GBM: glioblastoma multiforme; GIST: gastrointestinal stromal tumor; NSCLC: non-small cell lung cancer


               To address whether these mutations could have a clinical impact on the patients, we analysed the potential
               clinical benefit associated with each damaging variant detected in the samples. In 97% of the cases, the
               damaging mutations found solely in the solid or in the liquid biopsy were predictive of either sensitivity
               (82%) or resistance (15%) to specific cancer treatments - mainly targeted therapies (98%). When we studied
               in more detail the damaging variants detected in “liquid”, we observed that 96% were clinically actionable:
               42% were directly predictive of approved therapies in the indicated cancer type, either targeted therapies
               (80%) or hormone therapies (20%, aromatase inhibitors), whereas 54% were inclusion criteria for trials using
               targeted therapies in molecularly selected patients (which were actively recruiting at the time of submission)
               [Table 1]. These data highlight that the integrated analysis of both biopsy samples provides valuable clinical
               information that could guide the use of cancer therapy.



               DISCUSSION
               This study compared the discrepant distribution of mutations found in the molecular profiling of solid vs.
               liquid biopsies of metastatic cancer patients in order to better understand tumor heterogeneity. This analysis
               highlighted that the addition of ctDNA testing to tissue profiling might increase therapeutic value and could
               better guide oncologists in precision medicine.


               The results show that in the majority of the cases, the information obtained by sequencing tumor tissue DNA
               and ctDNA is complimentary. We observed a higher percentage of mutations detected only in the solid biopsy
               (51%) compared to only in the liquid or to shared variants. One factor that can explain this is the tumor
               location, as it has been previously demonstrated that different cancer types shed different amounts of DNA
               into the blood . Bettegowda et al.  showed that ctDNA was detectable in 100% of patients with stage IV
                                             [16]
                           [16]
               colorectal cancer, while less than 10% of patients with advanced gliomas harboured detectable ctDNA (as the
               blood-brain barrier could prevent the entry of ctDNA into the circulation). In accordance with this, in our
               analysis we found that 56% of the variants were shared between solid and liquid biopsies in colorectal cancer
               patients, while in glioblastoma multiforme patients, 89% of the mutations were found in “solid”, 11% only
               in liquid biopsies and none in “shared” (data not shown). This confirms that the location of the tumor has
               an impact on the utility of ctDNA. A second factor that can explain why a high percentage of variants were
               only present in tissue DNA is the temporal heterogeneity, which is influenced by patient-specific selective
               pressures  such as the prescribed treatments and fluctuations in tumor microenvironment. In fact, the
                       [17]
               percentage of “shared” mutations markedly decreased when the time space of the collection dates increased.
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