A radiomics-based interpretable model to predict the pathological grade of pancreatic neuroendocrine tumors.

OBJECTIVES: To develop a computed tomography (CT) radiomics-based interpretable machine learning (ML) model to predict the pathological grade of pancreatic neuroendocrine tumors (pNETs) in a non-invasive manner. METHODS: Patients with pNETs who underwent contrast-enhanced abdominal CT between 2010 and 2022 were included in this retrospective study. Radiomics features were extracted, and five radiomics-based ML models, namely logistic regression (LR), random forest (RF), support vector machine (SVM), XGBoost, and GaussianNB, were developed. The performance of these models was evaluated using a time-independent testing set, and metrics such as sensitivity, specificity, accuracy, and the area under the receiver operating characteristic curve (AUC) were calculated. The accuracy of the radiomics model was compared to that of needle biopsy. The Shapley Additive Explanation (SHAP) tool and the correlation between radiomics and biological features were employed to explore the interpretability of the model. RESULTS: A total of 122 patients (mean age: 50 ± 14 years; 53 male) were included in the training set, whereas 100 patients (mean age: 48 ± 13 years; 50 male) were included in the testing set. The AUCs for LR, SVM, RF, XGBoost, and GaussianNB were 0.758, 0.742, 0.779, 0.744, and 0.745, respectively, with corresponding accuracies of 73.0%, 70.0%, 77.0%, 71.9%, and 72.9%. The SHAP tool identified two features of the venous phase as the most significant, which showed significant differences among the Ki-67 index or mitotic count subgroups (p < 0.001). CONCLUSIONS: An interpretable radiomics-based RF model can effectively differentiate between G1 and G2/3 of pNETs, demonstrating favorable interpretability. CLINICAL RELEVANCE STATEMENT: The radiomics-based interpretable model developed in this study has significant clinical relevance as it offers a non-invasive method for assessing the pathological grade of pancreatic neuroendocrine tumors and holds promise as an important complementary tool to traditional tissue biopsy. KEY POINTS: • A radiomics-based interpretable model was developed to predict the pathological grade of pNETs and compared with preoperative needle biopsy in terms of accuracy. • The model, based on CT radiomics, demonstrated favorable interpretability. • The radiomics model holds potential as a valuable complementary technique to preoperative needle biopsy; however, it should not be considered a replacement for biopsy.

Learning curve of robotic-assisted splenic vessel-preserving spleen-preserving distal pancreatectomy by one single surgeon: a retrospective cohort study.

AIM: Splenic vessel-preserving spleen-preserving distal pancreatectomy (SVP-SPDP) has a lower risk of splenic infarction than the splenicvessel-sacrificing SPDP, but it is more technically demanding. Learning curve of robotic-assisted SVP-SPDP (RSVP-SPDP) remains unreported. This study sought to analyze the perioperative outcomes and learning curve of RSVP-SPDP by one single surgeon. METHODS: Seventy-four patients who were intended to receive RSVP-SPDP at the First Affiliated Hospital of Sun Yat-sen University between May 2015 and January 2023 were included. The learning curve were retrospectively analyzed by using cumulative sum (CUSUM) analyses. RESULTS: Sixty-two patients underwent RSVP-SPDP (spleen preservation rate: 83.8%). According to CUSUM curve, the operation time (median, 318 vs. 220 min; P < 0.001) and intraoperative blood loss (median, 50 vs. 50 mL; P = 0.012) was improved significantly after 16 cases. Blood transfusion rate (12.5% vs. 3.4%; P = 0.202), postoperative major morbidity rate (6.3% vs. 3.4%; P = 0.524), and postoperative length-of-stay (median, 10 vs. 8 days; P = 0.120) improved after 16 cases but did not reach statistical difference. None of the patients had splenic infarction or abscess postoperatively. CONCLUSION: RSVP-SPDP was a safe and feasible approach for selected patients after learning curve. The improvement of operation time and intraoperative blood loss was achieved after 16 cases.

Development and validation of nomogram to predict lymph node metastasis preoperatively in patients with pancreatic neuroendocrine tumor.

BACKGROUND: Routine lymphadenectomy in pancreatic neuroendocrine tumors (pNETs) is debated. There lacks accurate model to predict lymph node metastasis (LNM) preoperatively in pNETs. Therefore, this study aimed at developing a nomogram in predicting LNM in pNETs preoperatively. METHODS: Patients undergoing surgery from Surveillance, Epidemiology, and End Results (SEER) database (design cohort, n = 2742) and First Affiliated Hospital of Sun Yat-sen University (validation cohort, n = 136) were enrolled. Nomogram was developed based on risk factors determined by logistic regression analyses. The performance of nomogram was evaluated by area under receiver operating characteristics curve (AUC), calibration curve, and decision curve analysis. RESULTS: In design cohort, 915 of 2742 patients had LNM. Tumor in the pancreatic head, T stage, and tumor size were significantly associated with LNM (all p < 0.05). Prediction of nomogram was accurate with AUC of 0.776 in design cohort and 0.622 in validation cohort. The nomogram showed good agreement between prediction and observation in the design and validation cohort. Based on nomogram-predicted risk, patients with higher risk of LNM had worse overall survival over patients with lower risk of LNM (log-rank p < 0.001). CONCLUSIONS: The novel nomogram could accurately predict LNM in pNET preoperatively. For patients with high risk of LNM, lymphadenectomy was recommended.

Development and Validation of a New Nomogram for Predicting Clinically Relevant Postoperative Pancreatic Fistula After Pancreatoduodenectomy.

BACKGROUND: There lacks an ideal model for accurately predicting clinically relevant postoperative pancreatic fistula (CR-POPF) after pancreatoduodenectomy (PD). This study aimed at developing a nomogram with high accuracy in predicting CR-POPF after PD. METHODS: A total of 1182 patients undergoing PD in the First Affiliated Hospital of Sun Yat-sen University (FAHSYSU, n = 762) and Fudan University Shanghai Cancer Center (FUSCC, n = 420) between January 2010 and May 2018 were enrolled. The patients from FAHSYSU were assigned as testing cohort, and those from FUSCC were used as external validation cohort. Univariate and multivariate logistic regression analyses were performed to determine the predictive factors for CR-POPF. Nomogram was developed on the basis of significant predictors. The performance of nomogram was evaluated by area under receiver operating characteristic (ROC) curve (AUC), calibration curve, and decision curve analysis. RESULTS: In testing cohort, 87 out of 762 patients developed CR-POPF. Three predictors were significantly associated with CR-POPF, including body mass index ≥24.0 kg/m2, pancreatic duct diameter <3 mm, and drainage fluid amylase on postoperative day 1 ≥2484 units/L (all p ≤ 0.001). Prediction of nomogram was accurate with AUC of 0.934 (95% confidence interval [CI]: 0.914-0.950) in testing cohort and 0.744 (95% CI: 0.699-0.785) in external validation cohort. The predictive accuracy of nomogram was better than that of previously proposed fistula risk scores both in testing and external validation cohort (all p < 0.05). CONCLUSIONS: The novel nomogram based on three easily available parameters could accurately predict CR-POPF after PD. It would have high clinical value due to its accuracy and convenience.

Evaluating the adequacy of nodal status in node-negative gallbladder cancer with T1b-T2 stages: use of nodal staging score.

BACKGROUND: The study aimed at establishing a nodal staging score (NSS) to quantify the likelihood that pathologic node-negative gallbladder cancer (GBC) patients are indeed free of lymph node (LN) metastasis. METHODS: Clinicopathological data of 1374 GBC patients with T1b-T2 stages were collected from the Surveillance, Epidemiology and End Result database (design cohort [DC], n = 1289) and the First Affiliated Hospital of Sun Yat-sen University (validation cohort [VC], n = 85). NSS was derived from the count of examined LNs (ELNs) and T stage by using a beta-binomial model, and represented the probability that a node-negative patient is correctly staged. The prognostic value of NSS in node-negative GBC was evaluated by survival analysis. RESULTS: The probability of missing a nodal disease in node-negative GBC patients with T1b-T2 stages (pT1bN0 and pT2N0) decreased as the number of ELNs increased. NSS increased as the number of ELNs increased. For pT1bN0 and pT2N0 patients, examination of 5 and 27 lymph nodes could ensure an NSS of 90.0%, respectively. Multivariate analysis revealed that NSS was an independent predictor for overall survival in pT1bN0 and pT2N0 GBC patients (DC, HR:0.53, 95%CI: 0.42-0.66, p < 0.001; VC, HR: 0.33, 95%CI: 0.14-0.76, p = 0.009). CONCLUSION: NSS could evaluate the adequacy of nodal staging and predict the prognosis in pT1bN0 and pT2N0 GBC patients, and hence was helpful to guide their treatment strategies.

Development and validation of a nomogram for predicting overall survival of node-negative ampullary carcinoma.

BACKGROUND: The accuracy of the current staging system for predicting the overall survival (OS) of patients with ampullary carcinoma (AC) is still unsatisfactory, especially in node-negative (N0) patients. We aimed at establishing a nomogram to accurately predict OS in N0 AC. METHODS: This study enrolled 697 N0 AC patients from the Surveillance, Epidemiology, and End Results database (design cohort [DC], n = 697) and the First Affiliated Hospital of Sun Yat-sen University (validation cohort [VC], n = 112), who underwent surgical resection. The nomogram was established by using prognostic factors determined by univariate and multivariate regression analyses. RESULTS: The nomogram for OS was developed by using four independent prognostic factors, including age, grade, T stage, and a number of examined lymph nodes. The C-index of a nomogram for OS in DC and VC was 0.665 and 0.731, respectively. Calibration curves showed good consistency of the nomogram. The nomogram had a better accuracy in predicting OS compared with conventional staging system (P < .05). On the basis of nomogram-predicted scores, the patients were stratified into groups with different risk. The OS of low-risk patients was significantly longer than high-risk ones (P ≤ .010). CONCLUSIONS: The nomogram could be used to predict the OS of N0 AC. It could help guide further treatment in clinical practice.

Impact of enhanced recovery after surgery protocol on pancreaticoduodenectomy: a meta-analysis of non-randomized and randomized controlled trials.

BACKGROUND: Enhanced recovery after surgery (ERAS) has been widely applied in many surgical specialties. However, with respect to the impact of ERAS on pancreaticoduodenectomy (PD), there still exist some controversies. METHODS: Literature search was performed in PubMed, Web of Science and the Cochrane Library from January, 1990 to July, 2019. A meta-analysis was performed using fixed-effects or random-effects models. RESULTS: Twenty-two studies containing 4147 patients were identified. The entire pooled data showed that ERAS significantly reduced overall and minor morbidity (RR: 0.80, 95% CI: 0.72-0.88, p < 0.001; RR: 0.78, 95% CI: 0.69-0.88, p < 0.001, respectively), but didn't affect major morbidity (RR: 0.97, 95% CI: 0.84-1.13, p = 0.72). ERAS markedly reduced the incidences of delayed gastric emptying (DGE) (RR: 0.69, 95% CI: 0.55-0.88, p = 0.002), incisional infection (RR: 0.75, 95% CI: 0.60-0.94, p = 0.01) and intra-abdominal infection (RR: 0.79, 95% CI: 0.63-1.00, p = 0.05), but didn't influence clinically-relevant postoperative pancreatic fistula (CR-POPF) (RR: 0.86, 95% CI: 0.73-1.01, p = 0.07). Shorter length of stay (LOS) (WMD: -5.07, 95% CI: -6.71 to -3.43, p < 0.001) was noted in ERAS group, without increasing 30-day readmission (RR: 1.03, 95% CI: 0.86-1.24, p = 0.71) and mortality (RR: 0.70, 95% CI: 0.41-1.21, p = 0.20). CONCLUSION: ERAS significantly reduced overall and minor morbidity, incidences of DGE, incisional and intra-abdominal infections, and shortened LOS in PD, without increasing 30-day readmission and mortality. However, more large-scale randomized controlled trials are still needed to confirm the findings.

EYA4 inhibits hepatocellular carcinoma by repressing MYCBP by dephosphorylating ß-catenin at Ser552.

Hepatocellular carcinoma (HCC) is one of the most common malignancies and the fourth leading cause of cancer-related death worldwide. Our previous study showed that EYA4 functioned by suppressing growth of HCC tumor cells, but its molecular mechanism is still not elucidated. Based on the results of gene microassay, EYA4 was inversely correlated with MYCBP and was verified in human HCC tissues by immunohistochemistry and western blot. Overexpressed and KO EYA4 in human HCC cell lines confirmed the negative correlation between EYA4 and MYCBP by qRT-PCR and western blot. Transfected siRNA of MYCBP in EYA4 overexpressed cells and overexpressed MYCBP in EYA4 KO cells could efficiently rescue the proliferation and G2/M arrest effects of EYA4 on HCC cells. Mechanistically, armed with serine/threonine-specific protein phosphatase activity, EYA4 reduced nuclear translocation of ß-catenin by dephosphorylating ß-catenin at Ser552, thereby suppressing the transcription of MYCBP which was induced by ß-catenin/LEF1 binding to the promoter of MYCBP. Clinically, HCC patients with highly expressed EYA4 and poorly expressed MYCBP had significantly longer disease-free survival and overall survival than HCC patients with poorly expressed EYA4 and highly expressed MYCBP. In conclusion, EYA4 suppressed HCC tumor cell growth by repressing MYCBP by dephosphorylating ß-catenin S552. EYA4 combined with MYCBP could be potential prognostic biomarkers in HCC.

Establishment of a Nomogram by Integrating Molecular Markers and Tumor-Node-Metastasis Staging System for Predicting the Prognosis of Hepatocellular Carcinoma.

AIMS: This study aimed to develop a valuable nomogram by integrating molecular markers and tumor-node-metastasis (TNM) staging system for predicting the long-term outcome of patients with hepatocellular carcinoma (HCC). METHODS: The gene expression profiles of HCC patients undergoing liver resection were obtained from the Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database. One hundred and ninety-nine patients from TCGA and 94 patients from GEO were selected to be part of the training cohort and validation cohort respectively. Univariate and multivariate cox analyses were performed to identify genes with independent prognostic values for overall survival (OS) of HCC patients in training cohort. Risk score was calculated based on the coefficients and Z-score of 3 genes for each patient. The nomogram was developed based on the risk score and TNM staging system. Discrimination and predictive accuracy of the nomogram were measured by using the concordance index (C-index) and calibration curve. The efficacy of the nomogram was tested in the external validation cohort. RESULTS: Univariate and multivariate cox analyses revealed that EXT2 (p = 0.035, hazard ratio 13.412), ETV5 (p = 0.010, hazard ratio 4.325), and CHODL (p < 0.001, hazard ratio 6.286) were independent prognostic factors and chosen for further nomogram establishment. The C-index of the nomogram for predicting the OS in the training cohort was superior to that of the TNM staging system (0.77 vs. 0.64, p < 0.01). The calibration curve of predicted 1-, 3-, and 5-year OS showed satisfactory accuracy. The external validation cohort showed good performance of comprehensive nomogram as well. CONCLUSION: The novel nomogram by integrating the molecular markers and TNM staging system has better performance in predicting long-term prognosis in HCC patients than the TNM staging system alone.

Prognostic significance of neutrophil/prealbumin ratio for intrahepatic cholangiocarcinoma undergoing curative resection.

BACKGROUND: This study aimed to clarify the prognostic significance of neutrophil/prealbumin ratio index (NPRI) for overall survival (OS) and recurrence free survival (RFS) of ICC after curative surgery. METHODS: Two-hundred and seventy-six ICC patients who underwent curative resection from December 2006 to April 2017 were recruited and analyzed retrospectively. The correlations between clinicopathological features and NPRI were analyzed. OS and RFS were calculated using Kaplan-Meier curve, and cox univariate and multivariate analyses were used to identify the prognostic factors. RESULTS: The optimal cut-off value of NPRI determined by ROC curve was 1.74 and the patients were divided into high-value and low-value groups. High-value NPRI was associated with higher risk of postoperative complications (p = 0.035) and longer hospitalization (p = 0.004).Univariate and multivariate cox analyses demonstrated that NPRI was an independent predictor for OS (p = 0.015) and RFS (p = 0.004) in ICC after curative resection. Furthermore, NPRI was also a significant predictor for OS and RFS in different subgroups of ICC, including CA19-9<35U/mL, single tumor, no vascular invasion, no local invasion and AJCC stages I + II. CONCLUSIONS: NPRI was an independent prognostic predictor for ICC after curative resection. It would have high clinical values due to its convenience.

Robotic-assisted organ-preserving or parenchymal-sparing pancreatectomy in pancreatic benign or low-grade malignant tumors: a single institute's experience.

AIM: Robotic-assisted pancreatectomy has been widely used. Organ-preserving pancreatectomy (OPP) and parenchymal-sparing pancreatectomy (PSP) has been gradually adopted for pancreatic benign or low-grade malignant tumors. This study aimed to evaluate the safety and efficacy of robotic-assisted OPP/PSP in our institute. METHODS: Patients undergoing robotic-assisted OPS/PSP at First Affiliated Hospital of Sun Yat-sen University between July 2015 and October 2021 were included in this study. The short-term and long-term outcomes of patients were retrospectively analyzed. RESULTS: Seventy-two patients were enrolled, including spleen-preserving distal pancreatectomy, central pancreatectomy, duodenum-preserving pancreatic head resection, and enucleation. Patients included were more likely to be young female (female: 46/72, median age: 47 years old). The median intraoperative blood loss and operation time was 50 ml and 255 min, respectively. Clinically relevant postoperative pancreatic fistula was 20.8% (grade B: 15/72, 20.8%; no grade C). The overall complication rate was 22.2% with the median postoperative length-of-stay of 8 days. At a median follow-up time of 28.5 months, the 5-year overall survival and recurrence-free survival rate were 100.0% and 100.0%, respectively. CONCLUSION: The short-term and long-term outcomes of patients receiving robotic-assisted OPP/PSP were acceptable. Robotic-assisted OPP/PSP was a feasible and safe technique for pancreatic benign or low-grade malignant lesions.

N6-methyladenosine modified TGFB2 triggers lipid metabolism reprogramming to confer pancreatic ductal adenocarcinoma gemcitabine resistance.

Gemcitabine resistance is a major obstacle to the effectiveness of chemotherapy in pancreatic ductal adenocarcinoma (PDAC). Therefore, new strategies are needed to sensitize cancer cells to gemcitabine. Here, we constructed gemcitabine-resistant PDAC cells and analyzed them with RNA-sequence. Employing an integrated approach involving bioinformatic analyses from multiple databases, TGFB2 is identified as a crucial gene in gemcitabine-resistant PDAC and is significantly associated with poor gemcitabine therapeutic response. The patient-derived xenograft (PDX) model further substantiates the gradual upregulation of TGFB2 expression during gemcitabine-induced resistance. Silencing TGFB2 expression can enhance the chemosensitivity of gemcitabine against PDAC. Mechanistically, TGFB2, post-transcriptionally stabilized by METTL14-mediated m6A modification, can promote lipid accumulation and the enhanced triglyceride accumulation drives gemcitabine resistance by lipidomic profiling. TGFB2 upregulates the lipogenesis regulator sterol regulatory element binding factor 1 (SREBF1) and its downstream lipogenic enzymes via PI3K-AKT signaling. Moreover, SREBF1 is responsible for TGFB2-mediated lipogenesis to promote gemcitabine resistance in PDAC. Importantly, TGFB2 inhibitor imperatorin combined with gemcitabine shows synergistic effects in gemcitabine-resistant PDAC PDX model. This study sheds new light on an avenue to mitigate PDAC gemcitabine resistance by targeting TGFB2 and lipid metabolism and develops the potential of imperatorin as a promising chemosensitizer in clinical translation.

ADAR1 promotes cisplatin resistance in intrahepatic cholangiocarcinoma by regulating BRCA2 expression through A-to-I editing manner.

Aberrant A-to-I RNA editing, mediated by ADAR1 has been found to be associated with increased tumourigenesis and the development of chemotherapy resistance in various types of cancer. Intrahepatic cholangiocarcinoma (iCCA) is a highly aggressive malignancy with a poor prognosis, and overcoming chemotherapy resistance poses a significant clinical challenge. This study aimed to clarify the roles of ADAR1 in tumour resistance to cisplatin in iCCA. We discovered that ADAR1 expression is elevated in iCCA patients, particularly in those resistant to cisplatin, and associated with poor clinical outcomes. Downregulation of ADAR1 can increase the sensitivity of iCCA cells to cisplatin treatment, whereas its overexpression has the inverse effect. By integrating RNA sequencing and Sanger sequencing, we identified BRCA2, a critical DNA damage repair gene, as a downstream target of ADAR1 in iCCA. ADAR1 mediates the A-to-I editing in BRCA2 3'UTR, inhibiting miR-3157-5p binding, consequently increasing BRCA2 mRNA and protein levels. Furthermore, ADAR1 enhances cellular DNA damage repair ability and facilitates cisplatin resistance in iCCA cells. Combining ADAR1 targeting with cisplatin treatment markedly enhances the anticancer efficacy of cisplatin. In conclusion, ADAR1 promotes tumour progression and cisplatin resistance of iCCA. ADAR1 targeting could inform the development of innovative combination therapies for iCCA.

CSNK2A1 confers gemcitabine resistance to pancreatic ductal adenocarcinoma via inducing autophagy.

Gemcitabine, a pivotal chemotherapeutic agent for pancreatic ductal adenocarcinoma (PDAC), frequently encounters drug resistance, posing a significant clinical challenge with implications for PDAC patient prognosis. In this study, employing an integrated approach involving bioinformatic analyses from multiple databases, we unveil CSNK2A1 as a key regulatory factor. The patient-derived xenograft (PDX) model further substantiates the critical role of CSNK2A1 in gemcitabine resistance within the context of PDAC. Additionally, targeted silencing of CSNK2A1 expression significantly enhances sensitivity of PDAC cells to gemcitabine treatment. Mechanistically, CSNK2A1's transcriptional regulation is mediated by H3K27 acetylation in PDAC. Moreover, we identify CSNK2A1 as a pivotal activator of autophagy, and enhanced autophagy drives gemcitabine resistance. Silmitasertib, an established CSNK2A1 inhibitor, can effectively inhibit autophagy. Notably, the combinatorial treatment of Silmitasertib with gemcitabine demonstrates remarkable efficacy in treating PDAC. In summary, our study reveals CSNK2A1 as a potent predictive factor for gemcitabine resistance in PDAC. Moreover, targeted CSNK2A1 inhibition by Silmitasertib represents a promising therapeutic strategy to restore gemcitabine sensitivity in PDAC, offering hope for improved clinical outcomes.

Learning curves of resection and reconstruction procedures in robotic-assisted pancreatoduodenectomy by a single surgeon: a retrospective cohort study of 160 consecutive cases.

Background: Robotic-assisted pancreatoduodenectomy (RPD) has been routinely performed in a few of centers worldwide. This study aimed to evaluate the perioperative outcomes and the learning curves of resection and reconstruction procedures in RPD by one single surgeon. Methods: Consecutive patients undergoing RPD by a single surgeon at the First Affiliated Hospital of Sun Yat-sen University (Guangzhou, China) between July 2016 and October 2022 were included. The perioperative outcomes and learning curves were retrospectively analysed by using cumulative sum (CUSUM) analyses. Results: One-hundred and sixty patients were included. According to the CUSUM curve, the times of resection and reconstruction procedures were shortened significantly after 30 cases (median, 284 vs 195 min; P < 0.001) and 45 cases (median, 138 vs 120 min; P < 0.001), respectively. The estimated intraoperative blood loss (median, 100 vs 50 mL; P < 0.001) and the incidence of clinically relevant post-operative pancreatic fistula (29.2% vs 12.5%; P = 0.035) decreased significantly after 20 and 120 cases, respectively. There were no significant differences in the total number of lymph nodes examined, post-operative major complications, or post-operative length-of-stay between the two groups. Conclusions: Optimization of the resection procedure and the acquisition of visual feedback facilitated the performance of RPD. RPD was a safe and feasible procedure in the selected patients.

Values of debulking surgery for unresectable well-differentiated metastatic pancreatic neuroendocrine tumors: a comparative study.

Background and objective: The value of debulking surgery for unresectable well-differentiated metastatic pancreatic neuroendocrine tumor (m-PNET) remains poorly defined. This study aimed to evaluate the outcomes of m-PNET following debulking surgery in our institute. Methods: Patients with well-differentiated m-PNET in our hospital between February 2014 and March 2022 were collected. Clinicopathological and long-term outcomes of patients treated with radical resection, debulking surgery, and conservative therapy were compared retrospectively. Results: Fifty-three patients with well-differentiated m-PNET were reviewed, including 47 patients with unresectable m-PNET (debulking surgery, 25; conservative therapy, 22) and 6 patients with resectable m-PNET (radical resection). Patients undergoing debulking surgery had a post-operative Clavien-Dindo ≥ III complication rate of 16.0% without mortality. The 5-year overall survival (OS) rate of patients treated with debulking surgery was significantly higher than that of those treated with conservative therapy alone (87.5% vs 37.8%, log-rank P = 0.022). Besides, the 5-year OS rate of patients treated with debulking surgery was comparable to that of patients with resectable m-PNET undergoing radical resection (87.5% vs 100%, log-rank P = 0.724). Conclusions: Patients with unresectable well-differentiated m-PNET who underwent resection had better long-term outcomes than those who received conservative therapy alone. The 5-year OS of patients undergoing debulking surgery and radical resection were comparable. Debulking surgery could be considered for patients with unresectable well-differentiated m-PNET if no contraindication exists.

Evaluation of the short-term outcomes of robotic-assisted radical resection for perihilar cholangiocarcinoma: a propensity-scored matching analysis.

Background: The application of robotic-assisted radical resection in perihilar cholangiocarcinoma (pCCA) remains poorly defined. This study aimed to evaluate the safety and efficacy of robotic-assisted radical resection for pCCA in our institute. Methods: Between July 2017 and July 2022, pCCA patients undergoing robotic-assisted and open radical resection at First Affiliated Hospital of Sun Yat-sen University (Guangzhou, China) were included. The short-term outcomes were compared by using propensity-scored matching (PSM) analysis. Results: Eighty-six pCCA patients were enrolled. After PSM at a ratio of 1:2, 10 and 20 patients were assigned to the robotic-assisted and open groups, respectively. There were no significant disparities in the clinicopathological features between the two groups. The robotic-assisted group had significantly longer operation time (median: 548 vs 353 min, P = 0.004) and larger total number of lymph nodes examined (median: 11 vs 5, P = 0.010) than the open group. The robotic-assisted group tended to have a lower intraoperative blood loss (median: 125 vs 350 mL, P = 0.067), blood transfusion rates (30.0% vs 70.0%, P = 0.056), and post-operative overall morbidities (30.0% vs 70.0%, P = 0.056) than the open group, even though the differences were not statistically significant. There were no significant differences in the negative resection margin, post-operative major morbidities, or post-operative length-of-stay between the robotic-assisted and open groups (all P > 0.05). Conclusions: Robotic-assisted radical resection of pCCA may get a larger total number of lymph nodes examined than open surgery. Provided robotic-assisted surgery may be a feasible and safe technique for selected pCCA patients.

Establishment and validation of a nomogram for predicting overall survival of node-negative perihilar cholangiocarcinoma.

AIM: There lacks a predictive model for overall survival (OS) of node-negative perihilar cholangiocarcinoma (PHC). This study aimed at developing and validating a prognostic nomogram to predict OS of node-negative PHC after resection. METHODS: We established a nomogram via multivariate regression analysis by using the design cohort (n = 410, obtained from Surveillance, Epidemiology, and End Results database), and its external verification was done in the validation cohort (n = 100, the First Affiliated Hospital of Sun Yat-sen University). Predictive accuracy of the nomogram was assessed by concordance-index (C-index), calibration curves, and decision curve analysis (DCA). Performance of the nomogram was compared with the American Joint Committee on Cancer (AJCC) staging system. RESULTS: Multivariate regression analysis revealed that age, tumor grade, and the count of examined lymph nodes were independent prognostic factors for OS of node-negative PHC. The nomogram had a C-index of 0.603 and 0.626 in design cohort and validation cohort, respectively, which was better than that of AJCC staging system (both p < 0.05). The calibration curves showed good consistency between actual and nomogram-predicted OS probabilities. DCA showed that nomogram had better clinical usefulness. Furthermore, the nomogram-predicted scores could stratify the patients into three risk groups, and patients in higher risk group had worse prognosis than those in lower risk group (all p < 0.05). CONCLUSION: The proposed nomogram had a better prognostic accuracy than the AJCC staging system in predicting postoperative OS of node-negative PHC. It was helpful to guide the adjuvant therapeutic strategies for node-negative PHC.

Values of spleen-preserving distal pancreatectomy in well-differentiated non-functioning pancreatic neuroendocrine tumors: a comparative study.

Background: The feasibility of spleen-preserving distal pancreatectomy (SPDP) to treat well-differentiated non-functioning pancreatic neuroendocrine tumors (NF-pNETs) located at the body and/or tail of the pancreas remains controversial. Distal pancreatectomy with splenectomy (DPS) has been widely applied in the treatment of NF-pNETs; however, it may increase the post-operative morbidities. This study aimed to evaluate whether SPDP is inferior to DPS in post-operative outcomes and survivals when being used to treat patients with NF-pNETs in our institute. Methods: Clinicopathological features of patients with NF-pNETs who underwent curative SPDP or DPS at the First Affiliated Hospital of Sun Yat-sen University (Guangzhou, China) between January 2010 and January 2022 were collected. Short-term outcomes and 5-year survivals were compared between patients undergoing SPDP and those undergoing DPS. Results: Sixty-three patients (SPDP, 27; DPS, 36) with well-differentiated NF-pNETs were enrolled. All patients had grade 1/2 tumors. After identifying patients with T1-T2 NF-pNETs (SPDP, 27; DPS, 15), there was no disparity between the SPDP and DPS groups except for tumor size (median, 1.4 vs 2.6 cm, P = 0.001). There were no differences in operation time (median, 250 vs 295 min, P = 0.478), intraoperative blood loss (median, 50 vs 100 mL, P = 0.145), post-operative major complications (3.7% vs 13.3%, P = 0.287), clinically relevant post-operative pancreatic fistula (22.2% vs 6.7%, P = 0.390), or post-operative hospital stays (median, 9 vs 9 days, P = 0.750) between the SPDP and DPS groups. Kaplan-Meier curve showed no significant differences in the 5-year overall survival rate (100% vs 100%, log-rank P > 0.999) or recurrence-free survival (100% vs 100%, log-rank P > 0.999) between patients with T1-T2 NF-pNETs undergoing SPDP and those undergoing DPS. Conclusions: In patients with T1-T2 well-differentiated NF-pNETs, SPDP could achieve comparable post-operative outcomes and prognosis compared with DPS.

METTL3 promotes intrahepatic cholangiocarcinoma progression by regulating IFIT2 expression in an m6A-YTHDF2-dependent manner.

N6-methyladenosine (m6A) RNA methylation has recently been found involving in regulatory mechanism of the tumor progression. Our aim was to explore the biological function and clinical significance of the m6A methyltransferase METTL3 in intrahepatic cholangiocarcinoma (ICC). In this study, we revealed that METTL3 was upregulated and predicted poor prognosis of patients with ICC. Multivariate regression analysis demonstrated that METTL3 expression was an independent predictor for overall survival in patients with ICC. Moreover, METTL3 knockdown inhibited ICC progression, while METTL3 overexpression showed the opposite effect. METTL3 inhibitor STM2457 also showed anti-tumor effect in ICC. Mechanistically, METTL3 transcription was driven by H3K4me3 activation. Upregulation of METTL3 mediated m6A modification of IFIT2 mRNA and accelerated IFIT2 mRNA decay in a YTHDF2-dependent manner, which promoted the development of ICC and lead to poorer prognosis. In summary, our findings revealed that H3K4me3 activation-driven METTL3 transcription promotes ICC progression by YTHDF2-mediated IFIT2 mRNA degradation, suggesting that METTL3 may serve as a potential target for human ICC therapy.