Search

The tumor microenvironment (TME) in pancreatic ductal adenocarcinoma (PDAC) involves a significant accumulation of cancer-associated fibroblasts (CAFs) as part of the host response to tumor cells. The origins and functions of transcriptionally diverse CAF populations in PDAC remain poorly understood. Tumor cell-intrinsic genetic mutations and epigenetic dysregulation may reshape the TME; however, their impacts on CAF heterogeneity remain elusive. SETD2, a histone H3K36 trimethyl-transferase, functions as a tumor suppressor. Through single-cell RNA sequencing, we identify a lipid-laden CAF subpopulation marked by ABCA8a in Setd2-deficient pancreatic tumors. Our findings reveal that tumor-intrinsic SETD2 loss unleashes BMP2 signaling via ectopic gain of H3K27Ac, leading to CAFs differentiation toward lipid-rich phenotype. Lipid-laden CAFs then enhance tumor progression by providing lipids for mitochondrial oxidative phosphorylation via ABCA8a transporter. Together, our study links CAF heterogeneity to epigenetic dysregulation in tumor cells, highlighting a previously unappreciated metabolic interaction between CAFs and pancreatic tumor cells., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: Although the molecular features of pancreatic ductal adenocarcinoma (PDAC) have been well described, the impact of detailed gene mutation subtypes on disease progression remained unclear. This study aimed to evaluate the impact of different TP53 mutation subtypes on clinical characteristics and outcomes of patients with PDAC., Methods: We included 639 patients treated with PDAC in Ruijin Hospital affiliated to Shanghai Jiaotong University School of Medicine between Jan 2019 and Jun 2021. The genomic alterations of PDAC were analyzed, and the association of TP53 mutation subtypes and other core gene pathway alterations with patients' clinical characteristics were evaluated by Chi-squared test, Kaplan-Meier method and Cox regression model., Results: TP53 missense mutation was significantly associated with poor differentiation in KRAS mut PDAC (50.7% vs. 36.1%, P = 0.001). In small-sized (≤ 2 cm) KRAS mut tumors, significantly higher LNs involvement (54.8% vs. 23.5%, P = 0.010) and distal metastic rate (20.5% vs. 2.9%, P = 0.030) were observed in those with TP53 missense mutation instead of truncating mutation. Compared with TP53 truncating mutation, missense mutation was significantly associated with reduced DFS (6.6 [5.6-7.6] vs. 9.2 [5.2-13.3] months, HR 0.368 [0.200-0.677], P = 0.005) and OS (9.6 [8.0-11.1] vs. 18.3 [6.7-30.0] months, HR 0.457 [0.248-0.842], P = 0.012) in patients who failed to receive chemotherapy, while higher OS (24.2 [20.8-27.7] vs. 23.8 [19.0-28.5] months, HR 1.461 [1.005-2.124], P = 0.047) was observed in TP53 missense cases after chemotherapy., Conclusions: TP53 missense mutation was associated with poor tumor differentiation, and revealed gain-of-function properties in small-sized KRAS transformed PDAC. Nonetheless, it was not associated with insensitivity to chemotherapy, highlighting the neoadjuvant therapy before surgery as the potential optimized strategy for the treatment of a subset of patients., (© 2023. The Author(s).)

Background: The pre-adjuvant chemotherapy (PAC) status of postoperative pancreatic ductal adenocarcinoma (PDAC) patients has not been studied and elaborated well previously., Method: The association of PAC variables and prognoses was explored using a multivariable Cox model, restricted cubic spline analysis, and correlation analysis. The main outcomes were overall survival (OS) and progression-free survival (PFS). The secondary outcome was chemotherapy completeness (CHC)., Results: A total of 401 eligible patients were enrolled in sequential surgery and chemotherapy. The chemotherapy regimen, PAC fasting blood glucose (FBG), and elevated fasting blood glucose (eFBG) status were associated with CHC (regimen types: p = 0.005, continuous FBG: p = 0.014, eFBG status: p = 0.012). Early administration of adjuvant chemotherapy (<34 days) was a risk factor for the limited OS and PFS (OS: aHR: 1.61 [1.09-2.38], p = 0.016; PFS: aHR: 1.91 [1.29-2.82], p = 0.001). Patients with higher PAC body mass index (BMI), receiving Gemcap regimen, and with lower PAC tumor marker value were observed with better survival prognoses (PAC BMI: OS: 0.927 [0.875-0.983], p = 0.011; Gemcap: OS: 0.533 [0.312-0.913], p = 0.022; Gemcap: PFS: 0.560 [0.341-0.922], p = 0.023; PAC CA125: OS: 1.004 [1.002-1.006], p < 0.001; PAC CA125: PFS: 1.003 [1.000-1.005], p = 0.031; PAC CEA: OS: 1.050 [1.026-1.074], p < 0.001). The BMI decrease was mainly concentrated in the first 3 months of chemotherapy courses (first 3 months: p < 0.001; latter 3 months: p = 0.097). And CEA, compared to CA125 and CA199, was a better prognostic indicator (CEA: first 3 months: PFS p = 0.011, OS p < 0.001; latter 3 months: PFS p = 0.024, OS p = 0.041)., Conclusion: PDAC patients should be treated with adjuvant chemotherapy over 34 postoperative days. PAC sarcopenia was a risk factor for OS, but not PFS and limited CHC. Those with higher PAC FBG levels were more likely to finish chemotherapy. CEA, compared to CA125 and CA199, was a better prognostic indicator., (© 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Background: Limited data are available regarding long-term oncological outcomes in patients with pancreatic ductal adenocarcinoma (PDAC) who undergo robotic pancreatectomy (RP)., Method: All patients who underwent RP and open pancreatectomy (OP) for resectable PDAC between January 2011 and December 2019 were included. The RP group was matched 1:1 with OP group by propensity score matching (PSM). The oncological outcomes were collected and analyzed., Results: Overall, 1606 patients were included in this study. After PSM, a well-balanced cohort of 335 patients in each group was selected for further analysis. The RP group had shorter operative time (210 min vs. 240 min, P < 0.001), lower estimated blood loss (200 ml vs. 300 ml, P = 0.011), lower wound infection rates (4.5% vs. 10.1%, P = 0.005) and shorter length of postoperative hospital stay (15 days vs. 17 days, P = 0.001) compared to the OP group, with no significant differences in other perioperative outcomes. OS was comparable between the two groups (31 months vs. 28 months, P = 0.077); however, RFS was improved in the RP group (17 months vs. 14 months, P = 0.015). Subgroup analysis showed that patients who received adjuvant chemotherapy (AC) in the RP group had better RFS than the similar patient cohort in the OP group (17 months vs. 14 months, P = 0.024)., Conclusion: Robotic pancreatectomy is safe and oncologically effective for resectable PDAC. OS was comparable between RP and OP, and RFS was improved in the RP group, especially in patients who receive AC., (Copyright © 2022 The Authors. Published by Elsevier Ltd.. All rights reserved.)

Purpose: Venous resection and reconstruction (VR) is a feasible surgical technique to achieve optimal outcomes in selected patients with pancreatic ductal adenocarcinoma (PDAC) who undergo open pancreaticoduodenectomy (OPD). However, data regarding patient outcomes in patients who undergo VR in robotic-assisted pancreaticoduodenectomy (RPD) are scarce., Methods: All patients with a diagnosis of PDAC who underwent upfront open or robotic pancreatoduodenectomy with VR in a high-volume institution for pancreatic surgery between 2011 and 2019 were retrospectively reviewed. Perioperative and long-term outcomes were compared between the RPD and OPD cohorts., Results: A total of 84 patients were included in the final analysis, 14 patients underwent RPD with VR and 70 who had OPD with VR. Reconstructed venous patency, postoperative 30-day morbidity, and 90-day mortality were comparable; however, lymph node resection rates were lower in the RPC cohort (p = 0.029). No difference was identified in 3-year survival rates between the two groups (34.0% versus 25.7% respectively, p = 0.667)., Conclusion: RPD with VR is a feasible approach for patients with PDAC and venous invasion. Further studies are needed to assess long-term outcomes compared to the open approach., (© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Background: Robotic-assisted minimally invasive surgery is associated with worse oncologic outcomes for some but not other types of cancers. We conducted a propensity score-matched analysis to compare oncologic outcomes of robotic-assisted laparoscopic (RPD) vs. open pancreatoduodenectomy (OPD) for pancreatic ductal adenocarcinoma (PDAC)., Methods: Treatment-naïve PDAC patients undergoing either RPD or OPD at our hospital between January 2013 and December 2017 were included. Propensity score matching was conducted at a ratio of 1:2. The primary outcome was disease-free survival (DFS) and overall survival (OS)., Results: A total of 672 cases were identified. The propensity score-matched cohort included 105 patients receiving RPD and 210 patients receiving OPD. The 2 groups did not differ in the number of retrieved lymph nodes [11 (7-16) vs. 11 (6-17), P = 0.622] and R0 resection rate (88.6% vs. 89.0%, P = 0.899). There was no statistically significant difference in median DFS (14 [95% CI 11-22] vs. 12 [95% CI 10-14] months (HR 0.94; 95% CI 0.87-1.50; log-rank P = 0.345) and median OS (27 [95% CI 22-35] vs. 20 [95% CI 18-24] months (HR 0.77; 95% CI 0.57-1.04; log-rank P = 0.087) between the two groups. Multivariate COX analysis showed that RPD was not an independent predictor of DFS (HR 0.90; 95% CI 0.68-1.19, P = 0.456) or OS (HR 0.77; 95% CI 0.57-1.05, P = 0.094)., Conclusion: Comparable DFS and OS were observed between patients receiving RPD and OPD. This preliminary finding requires further confirmation with prospective randomized controlled trials.

Objective: Our study examined the association between molecular features and clinical results of pancreatic ductal adenocarcinoma (PDAC) patients, aiming to explore the genomic determinants of the recurrence and prognosis of PDAC after surgical removal., Methods: This retrospective study analyzed 181 PDAC patients who received pancreatectomy and adjuvant chemotherapy, with 67 patients in the training set. An internal validation set of 48 patients and an external validation set of 66 patients were used to validate the result. Comprehensive genomic profiling was performed on formalin-fixed paraffin-embedded (FFPE) tumor specimens to determine genomic features using the designed cancer-related gene panel based on next-generation sequencing (NGS)., Results: Significant differences were identified between the late recurrence (LR) group and early recurrence (ER) group in tumor copy number instability (CNI) levels. Next, the utility of low CNI (the middle and lowest tertile) with regard to predicting LR was confirmed in the training, internal, and external validation sets. Further univariate and multivariate analyses revealed that CNI was an independent predictive and prognostic biomarker, and had higher predictive accuracy for LR than CA19-9 level, pathological stage, tumor size, and age. In addition, CNI combined with lymph node (LN) metastasis status could provide a more accurate model for predicting LR of PDAC., Conclusion: We discovered and validated the association between CNI and clinical outcome in 181 patients with resectable PDAC, demonstrating the utility of lower tumor CNI levels as biomarkers of postoperative LR and favorable prognosis. Moreover, the combination of CNI and LN metastasis status elevated the predictive accuracy and illuminated strategies for patient stratification., (© 2020 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

BACKGROUND Pancreatic cancer is a highly malignant tumor characterized by poor prognosis. TNM stage cannot always provide accurate prediction of prognosis, which is vital for individualized treatment. Therefore, a novel way to identify patients with poor prognosis after radical surgery is urgently needed. MATERIAL AND METHODS The nomogram was established based on a discovery cohort that included 554 patients with PDAC who had received radical surgery from 2012 to 2016. The clinicopathological data were collected. Poor prognosis was evaluated using 25 features, in which appropriate features for a prediction model were identified. A prediction model incorporating the selected features was established. The discriminative capacity was assessed by C-index, calibration by calibration plot, and clinical usefulness by decision curve. The bootstrapping approach was used to perform internal validation. RESULTS Characteristics included in the nomogram were coronary artery disease and stroke history, elevated CA125, AJCC stage >II, R0 resection, operating time >6 h, poor differentiation, nerve invasion, length of stay >30 days, and postoperative complications. A C-index of 0.713 indicated good discrimination of the prediction model, and the calibration curve showed acceptable calibration. Survival analysis showed that this model had better discriminative capacity than the AJCC staging system and could distinguish relatively good prognosis from poor prognosis in patients at stage II (especially IIa) and IV. CONCLUSIONS Our study presents a valid and practical model to predict prognosis of pancreatic cancer patients, which contributes to individualized therapy by assisting surgeons to predict poor prognosis in patients who received radical surgery.