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Calderon Novoa et al. Hepatoma Res 2023;9:33  https://dx.doi.org/10.20517/2394-5079.2023.36  Page 7 of 11

               were transplanted. Neoadjuvant protocol for these patients consisted of first-line gemcitabine in
               combination with cisplatin, with optional locoregional therapy, mainly comprising SRBT. In order to be
               included in the protocol and listed, patients required a 6-month period of disease stability with neoadjuvant
               protocol. These patients presented with an 83% OS at 5 years and a 50% RFS, with no recurrences after the
               first year. This is the second of the prospective series of patients with a preoperative diagnosis of iCCA, and
               shows excellent results for a select few patients, using disease stability and treatment response as a surrogate
               for tumor biology. Follow-up with 36 patients enrolled on the waiting list using the same adjuvant protocol
                                             [67]
               was published by this team in 2022 . Of these patients, 18 were eventually transplanted, with tumor size
               mean values of 10.4 cm, and multifocality present in 56% of transplanted patients. OS continued to show
               good results in this cohort, with rates of 100%, 71% and 57% at 1, 3 and 5 years respectively. 38% of LT
               patients recurred, with a median time to recurrence of 11 months. Another interesting information about
               this paper is that out of the 37 listed patients, 5 were resected after downstaging with NAT. Upon specimen
               analysis, one patient was found to have a complete pathological response. This protocol requires further
               investigation and external validation with robust data and eventually a randomized trial in order to confirm
               the findings. It would seem that neoadjuvant systemic therapy can potentially negate the effect of tumor
               burden, as this prospective series had comparable results to the very-early series by Sapisochin et al., while
               presenting locally unresectable tumors with a mean size of 10 cm. Better refined prospective protocols with
               locoregional therapies are necessary in order to determine their real impact on iCCA [48,49] . It is the authors’
               opinion that although tumor size may be one factor that contributes to worse outcomes, a correct
               assessment of patients with iCCA as candidates for LT must focus not only on size but on other key factors
               such as lymph node invasion and response to neoadjuvant therapies. Disease stability or conversion towards
               resectable disease may be clear indicators for favorable outcomes and should prompt multidisciplinary
               teams to consider such patients for LT, as shown by the Houston Methodist’s results with large locally
               advanced iCCA. Given the molecular similarities between iCCA and hCCA and other bile tract cancers, and
               the success of Gemcitabine-based regimes as shown by Lunsford , Macmillan  and S-1 adjuvant therapy
                                                                      [66]
                                                                                  [67]
                              [68]
               by Nakachi et al. , we believe that tumor burden may serve initially as a cutoff value for neoadjuvant
               therapy, rather than a contraindication for LT. Patients with “very early” iCCA should be enlisted without
               the use of NAT, while patients with larger tumors could potentially benefit from Gemcitabine-based
               regimes and possibly local therapies, such as SRBT, and show evidence of stable disease before enlisting.


               Follow-up after Liver Transplantation
               As mentioned, recurrence rates after LT remain high. Following LR, recurrence location is most frequently
               intrahepatic, with over 60% of patients having intrahepatic recurrence either at the surgical margin or
               satellite nodules. This shows the effect of the pathological liver on the course of the disease, and the
               potential benefits of LT. Less than 15% of patients will have extra hepatic recurrence alone . The time to
                                                                                             [69]
               recurrence varies depending on the recurrence pattern: intrahepatic margin recurrence as well as
               extrahepatic recurrence alone tend to be very early recurrences (6 months), possibly explained by either
               suboptimal surgery or unrecognized metastases at the time of resection. Non-marginal intrahepatic
               recurrences tend to happen slowly during the first two years of LR [70,71] . Given these typical patterns of
               recurrence, follow-up should be kept in an exhaustive manner for the 2-3 years, with gradual spacing out
               following this peak in recurrence. There are multiple known risk factors for recurrence after LR, such as
               tumor size, amount of lesions and vascular invasion [72,73] , and preoperative CA 19.9 values, which may serve
               as a biological surrogate for disease burden [74,75] . In the last years, there have been several studies that have
               developed different tools in order to identify patients at higher risk of recurrence following a curative intent
               LR. Preoperative neutrophil-to-lymphocyte ratio, a very popular and easily obtainable parameter, has been
                                                                                                 [76]
               found to have independent prognostic value for early recurrence (< 1 year) in resected iCCA . Several
               groups are beginning to explore the applicability of AI and machine learning models to assist in predicting
               recurrence [77-79] . Machine learning radionics has been found to accurately predict recurrence using
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