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Nguyen et al. J Transl Genet Genom 2018;2:19  I  http://dx.doi.org/10.20517/jtgg.2018.20                                            Page 7 of 11

               Table 3. Response to treatment in patients and corresponding patient-derived xenografts
               Patients            Treatment              Best response  Coefficient of inhibition   TTP (months)
                                                                          in corresponding PDX
                                                        in patients/∆SUV max
               Patient 1       Cisplatin gemcitabine      PMD/2.1               1.52             2
                               Capecitabine bevacizumab   SMD/0.02              -0.88            6
                               Paclitaxel cetuximab       PMR/-0.88             -1.67            10
               Patient 2       Paclitaxel bevacizumab     PMD/0.31              1.57             3
                               Capecitabin bevacizumab    PMD/0.41              1.2              3
                               Sunitinib                  PMD/2.13              3.59             2
                               Cisplatin everolimus       PMR/-0.78             -1.04            6
               Patient 3       SIM                        PMR/-0.56             -1.61            6
                               Docetaxel                  PMD/0.42              1.18             2
                               Cisplatin gemcitabine      SMD/0.03              -1.42            8
               Patient 4       Palitaxel bevacizumab      PMR                   NA               12
                               Cisplatin gemcitabine      PMD                   NA               2
                               Bicalutamide               SMD                   NA               8
                               Abiraterone acetate        PMR                   NA               10
               Patient 5       SIM                        SMD/0.07              0.61             4
                               Docetaxel                  PMD/2.18              1.67             4
               SUV: standard uptake value; PDX: patient-derived xenograft; SIM: dose-dense epirubicin-cyclophosphamide regimen; PMR: partial
               metabolic response; PMD: progressive metabolic disease; SMD: stable metabolic disease; TTP: time to progression; NA: not applicable


               On the basis of transcriptomic analyses and chemosensitivity data obtained from the different TNBC
               xenografts, we personalized resort treatment for the five women in our study. In all cases, despite the fact
               that this resort treatment was a third-line or a fourth-line, the TTP was longer than that observed with
               previous lines of chemotherapy [Table 3].



               DISCUSSION
               TNBC is a heterogeneous, severe type of breast cancer, requiring the development of personalized therapies.
               Recent advances in gene expression profiling have identified TNBC molecular sub-types that could benefit
               from the use of targeted therapies .
                                            [9]

               Typically, BL2 subtype is characterized by an activation of the EGF pathway and could benefit from anti-
               EGFR therapies. In a phase II study on 173 women with metastatic TNBCs, where cetuximab was associated
               with cisplatin, it only added 2.2 months of survival . However, the patients were not selected according
                                                            [22]
               to EGF pathway activation, which certainly lowered the benefit observed. In our pilot study, patient 1 had
               an activation of the EGF pathway with no mutation in the RAS, RAF or PIK3 genes, as observed in 40% of
               patients with metastatic colorectal cancer [23,24] , where 60% response to anti-EGFR combined chemotherapy
               was observed . Indeed, when patient 1 received a combination of paclitaxel and cetuximab as third-line
                           [25]
               treatment, she had almost a CMR.

               On the other hand, LAR tumors account for 11% of TNBCs and are characterized by an activation of the
               androgen receptor pathway. In two phase-II studies on women with metastatic TNBCs selected according
               to androgen receptor status, bicalutamide or abiraterone acetate led to 6 months disease stabilization in less
               than 20% of patients [26,27] . Again, these disappointing results were probably due to an inadequate selection of
               patients. Indeed, TNBC tumors classified as LAR usually correspond to apocrine molecular tumors , and
                                                                                                    [28]
               are more accurately identified using gross cystic disease fluid protein-15 marker by immunohistochemistry .
                                                                                                        [29]
               In our pilot study, the tumor of patient 4 was classified as LAR subtype, and this young woman drew durable
               benefit from anti-androgen therapies, with a total of 18 months of liver metastasis stabilization.


               The molecular sub-classification of TNBCs by Lehman et al.  has opened the way to personalized medicine
                                                                  [9]
               for metastatic TNBCs. However, molecular analyses still have limitations, and different, complementary
               methods need to be implemented. Individual xenografts from metastatic samples of TNBCs are an additional,
               innovative tool and are more physiological than genomic analyses. A major limitation of PDXs is the low
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