Addressing patients to neoadjuvant systemic chemotherapy followed by surgery rather than surgical resection upfront is controversial in the case of resectable colorectal –liver metastases (CLM). The aim of this study was to develop a machine-learning model to identify the best potential candidates for upfront surgery (UPS) versus neoadjuvant perioperative chemotherapy followed by surgery (NEOS). Patients at first liver resection for CLM were consecutively enrolled and collected into two groups, regardless of whether they had UPS or NEOS. An inverse –probability weighting (IPW) was performed to weight baseline differences; survival analyses; and risk predictions were estimated. A mortality risk model was built by Random-Forest (RF) to assess the best –potential treatment (BPT) for each patient. The characteristics of BPT-upfront and BPT-neoadjuvant candidates were automatically identified after developing a classification –and –regression tree (CART). A total of 448 patients were enrolled between 2008 and 2020: 95 UPS and 353 NEOS. After IPW, two balanced pseudo-populations were obtained: UPS = 432 and NEOS = 440. Neoadjuvant therapy did not significantly affect the risk of mortality (HR 1.44, 95% CI: 0.95–2.17, p = 0.07). A mortality prediction model was fitted by RF. The BPT was NEOS for 364 patients and UPS for 84. At CART, planning R1vasc surgery was the main factor determining the best candidates for NEOS and UPS, followed by primitive tumor localization, number of metastases, sex, and pre-operative CEA. Based on these results, a decision three was developed. The proposed treatment algorithm allows for better allocation according to the patient’s tailored risk of mortality.

Liver resection is the mainstay of treatment for patients with primary and metastatic liver tumors. However, a large majority of patients present for initial medical evaluation with primary and metastatic liver tumors when their cancer is unresectable. Several trials have been undertaken to identify alternative treatments and complementary therapies. In the near future, the field of liver surgery will aim to increase the number of patients that can benefit from resection, since radical removal of the tumor currently provides the sole chance of cure. This paper reports the case of a patient with an advanced colonic cancer in the era of stem cell therapyIn 2011, a 57 years old white Caucasian man with a previous history of non-Hodgkin lymphoma (NHL) was diagnosed with colon cancer and bilobar liver metastases. Following neoadjuvant therapy, the patient was enrolled in a protocol of stem cell administration for liver regeneration. Surgery was initially performed on the primary cancer and left liver lobe. An extended right lobectomy to S1 was then performed after a portal vein embolization (PVE) and stem cell stimulation of the remaining liver. The postoperative course was uneventful and the patient was free of disease after 12 months. Extreme liver resection can provide a safer option and a chance of cure to otherwise unresectable patients when liver regeneration is boosted by PVE and stem cell administration.