Validation of the IWATE Criteria in Robotic-Assisted Liver Resections.

Background/Objectives: The IWATE criteria are well-established as a helpful tool to preoperatively estimate the difficulty and perioperative outcome of laparoscopic liver resections. We evaluated the relationship between the IWATE criteria and the perioperative outcomes in robotic-assisted liver resections (RARLs). Methods: We retrospectively analyzed the data of 58 patients who underwent robotic-assisted liver surgery at our center between July 2019 and April 2023. The operative difficulty of every patient was graded according to the IWATE criteria and compared to the perioperative outcome. Results: The median operation time was 236.5 min (range 37-671 min), and the median length of stay was 6 days (range 3-37 min). The majority had no complications (65.5%; n = 38), 18 (31.0%) patients suffered from mild complications (CD ≤ 3A) and 2 patients (3.4%) suffered from relevant complications (CD ≥ 3B). We observed no deaths within 30 postoperative days. The surgery time, postoperative ICU stay and perioperative blood transfusions increased significantly with a higher difficulty level (p = < 0.001; p < 0.001; p = 0.016). The length of stay, conversion to open surgery (n = 2) and complication rate were not significantly linked to the resulting IWATE group. Conclusions: The IWATE criteria can be implemented in robotic-assisted liver surgery and can be helpful in preoperatively estimating the difficulty of robotic liver resections. Whether there is a "robotic effect" in minimally invasive liver resections has to be further clarified. The IWATE criteria can help to develop curricula for robotic training.

Extracellular vesicles as potential biomarkers for diagnosis and recurrence detection of hepatocellular carcinoma.

Hepatocellular carcinoma (HCC) is the most common primary malignant liver tumor and a leading cause of cancer-related deaths worldwide. However, current diagnostic tools are often invasive and technically limited. In the last decade, non-invasive liquid biopsies have transformed the field of clinical oncology, showcasing the potential of various liquid-biopsy derived analytes, including extracellular vesicles (EVs), to diagnose and monitor HCC progression and metastatic spreading, serving as promising novel biomarkers. A prospective single-center cohort study including 37 HCC patients and 20 patients with non-malignant liver disease (NMLD), as a control group, was conducted. Serum EVs of both groups were analyzed before and after liver surgery. The study utilized microbead-based magnetic particle sorting and flow cytometry to detect 37 characteristic surface proteins of EVs. Furthermore, HCC patients who experienced tumor recurrence (R-HCC) within 12 months after surgery were compared to HCC patients without recurrence (NR-HCC). EVs of R-HCC patients (n = 12/20) showed significantly lower levels of CD31 compared to EVs of NR-HCC patients (p = 0.0033). EVs of NMLD-group showed significantly higher expressions of CD41b than EVs of HCC group (p = 0.0286). The study determined significant short-term changes in CD19 dynamics in EVs of the NMLD-group, with preoperative values being significantly higher than postoperative values (p = 0.0065). This finding of our pilot study suggests EVs could play a role as potential targets for the development of diagnostic and therapeutic approaches for the early and non-invasive detection of HCC recurrence. Further, more in-depth analysis of the specific EV markers are needed to corroborate their potential role as diagnostic and therapeutic targets for HCC.

Proteomic analysis of decellularized mice liver and kidney extracellular matrices.

BACKGROUND: The extracellular matrix (ECM) is a three-dimensional network of proteins that encases and supports cells within a tissue and promotes physiological and pathological cellular differentiation and functionality. Understanding the complex composition of the ECM is essential to decrypt physiological processes as well as pathogenesis. In this context, the method of decellularization is a useful technique to eliminate cellular components from tissues while preserving the majority of the structural and functional integrity of the ECM. RESULTS: In this study, we employed a bottom-up proteomic approach to elucidate the intricate network of proteins in the decellularized extracellular matrices of murine liver and kidney tissues. This approach involved the use of a novel, perfusion-based decellularization protocol to generate acellular whole organ scaffolds. Proteomic analysis of decellularized mice liver and kidney ECM scaffolds revealed tissue-specific differences in matrisome composition, while we found a predominantly stable composition of the core matrisome, consisting of collagens, glycoproteins, and proteoglycans. Liver matrisome analysis revealed unique proteins such as collagen type VI alpha-6, fibrillin-2 or biglycan. In the kidney, specific ECM-regulators such as cathepsin z were detected. CONCLUSION: The identification of distinct proteomic signatures provides insights into how different matrisome compositions might influence the biological properties of distinct tissues. This experimental workflow will help to further elucidate the proteomic landscape of decellularized extracellular matrix scaffolds of mice in order to decipher complex cell-matrix interactions and their contribution to a tissue-specific microenvironment.

Robotic-assisted esophagectomy with total mesoesophageal excision enhances R0-resection in patients with esophageal cancer: A single-center experience.

BACKGROUND: The focus of this research is to examine the growing use of robotic-assisted minimally invasive esophagectomy. Specifically, it evaluates the immediate clinical and cancer-related results of combining robotic-assisted minimally invasive esophagectomy with a systematic approach to total mesoesophageal excision, as opposed to traditional open transthoracic esophagectomy methods that do not employ a structured total mesoesophageal excision protocol. METHODS: A propensity score-matched analysis of 185 robotic-assisted minimally invasive esophagectomies and 223 open transthoracic esophagectomies after standardized Ivor Lewis esophagectomy was performed. After 1:1 nearest neighbor matching to account for confounding by covariates, outcomes of 181 robotic-assisted minimally invasive esophagectomy and 181 open transthoracic esophagectomy were compared. RESULTS: The patient characteristics showed significant differences in the age distribution and in comorbidities such as coronary heart disease, arterial hypertension, and anticoagulant intake. The R0-resection rate of robotic-assisted minimally invasive esophagectomy (96.7%) was significantly higher than open transthoracic esophagectomy (89.0%, P = .004). Thirty-day mortality and hospital mortality showed no significant differences. Postoperative pneumonia rate after robotic-assisted minimally invasive esophagectomy (12.7%) was significantly reduced (open transthoracic esophagectomy 28.7%, P < .001). Robotic-assisted minimally invasive esophagectomy had a significantly shorter intensive care unit stay (P < .001) and shorter hospital stay (P < .001). CONCLUSION: This single-center, retrospective study employing propensity score matching found that combining robotic-assisted minimally invasive esophagectomy with structured total mesoesophageal excision results in better short-term clinical and oncologic outcomes than open transthoracic esophagectomy. This finding is significant because the increased rate of R0 resection could indicate a higher likelihood of improved long-term survival. Additionally, enhanced overall postoperative recovery may contribute to better risk management in esophagectomy procedures.