The aim of the current study was to identify independent prognostic factors, evaluate differential adjuvant chemotherapy efficacy across clinicopathologic subgroups, and define adjuvant chemotherapy-sensitive populations.

A retrospective analysis of 168 AAC patients undergoing curative pancreaticoduodenectomy (2011–2020) was performed. Cases were classified into intestinal (28.0%), pancreatobiliary (30.4%), and mixed subtypes (18.5%) per NCCN (v2.2025) criteria. Independent prognostic factors for AAC patients were identified through uni- and multi-variable Cox proportional hazards modeling and subgroup analyses were stratified by age range, gender, differentiation, T stage, N stage, BVI, TDs, and PNI.

The pancreatobiliary signature (HR = 2.884, P < 0.001) and BVI (HR = 2.330, P = 0.001) were independent poor prognostic factors. Adjuvant chemotherapy improved overall survival (OS) in the following AAC patients: T3–T4 stage (HR = 0.485, P = 0.050); N1–N2 stage (HR = 0.365, P = 0.008); and TD-positive (HR = 0.401, P = 0.026). The median OS increased from 22.3–51.3 months with adjuvant chemotherapy in TD-positive patients (P = 0.019). TD positivity conferred a worse prognosis in BVI-negative subgroups (OS: HR = 3.840, 95% CI: 2.058–7.166, P < 0.001; and progression-free survival (PFS): HR = 2.950, 95% CI: 1.550–5.617, P = 0.002).

The pancreatobiliary signature and BVI constitute critical high-risk pathologic features in AAC. TD status identified high-risk cohorts, thus enabling postoperative risk-stratified treatment strategies. In patients negative for pancreatobiliary signature or BVI, TD positivity predicted significantly worse survival.

CLT-003 is a novel phenylphthalimide derivative encapsulated in poly (lactate-glycolic acid) copolymer nanoparticles using nanotechnology techniques. CLT-003 possesses anti-angiogenetic and antitumor activities. Nevertheless, the role and molecular mechanism underlying CLT-003 in pancreatic cancer remain to be elucidated.

Cell proliferation and apoptosis were detected using CCK-8, real-time cell analysis (RTCA), EdU, and flow cytometric assays. Cellular mobility and invasive capacity were detected using wound-healing, Transwell, and cell motility assays. Tumor growth and metastasis were determined using the mouse subcutaneous and pancreatic cancer orthotopic liver metastasis models. The antitumor effects of CLT-003 were evaluated using patient-derived organoid (PDO) and patient-derived xenograft (PDX) models.

CLT-003 significantly inhibited cellular proliferation, enhanced cellular apoptosis, and attenuated cellular invasion and migration of pancreatic cancer cells. Mechanistically, CLT-003 suppressed the translation of HIF-1α by inhibiting the PI3K/AKT/mTOR signaling pathway. In the mouse tumor models, CLT-003 significantly inhibited the growth and metastasis of pancreatic tumors. Moreover, the PDO and PDX models showed increased sensitivity to CLT-003 in pancreatic cancer with high HIF-1α expression compared to pancreatic cancer with low HIF-1α expression.

This study delineated the role and molecular mechanism of CLT-003 action in impeding the progression of pancreatic cancer and indicated its robust potential for the treatment of pancreatic cancer.

Current clinical staging of pancreatic ductal adenocarcinoma (PDAC) relies predominantly on anatomical resectability, thus limiting its prognostic utility. We developed and validated a pretreatment prognostic grading system incorporating multidimensional parameters.

Patients with histologically confirmed PDAC undergoing curative-intent pancreatectomy were retrospectively enrolled. Independent prognostic determinants of overall survival (OS) and disease-free survival (DFS), identified through multivariable Cox proportional hazards regression, provided the basis for deriving the Tianjin Prognostic Score and its corresponding risk stratification scheme.

Resectability status, lymph node metastasis indicated by imaging, pretreatment serum CA19-9 levels, and the prognostic nutritional score (PNS) independently predicted both OS and DFS. These parameters were integrated into the Tianjin Prognostic Score for PDAC prognosis stratification. The Tianjin-Grade system, subsequently established according to this score, segregated patients into 4 discrete prognostic cohorts with significantly divergent survival outcomes. This system exhibited significantly greater discriminatory ability for prognosis than conventional serum CA19-9 and resectability criteria. Notably, patients classified as having high risk or extremely high risk derived substantial survival benefits from neoadjuvant chemotherapy (NAC), whereas those with low or intermediate risk demonstrated comparable survival outcomes regardless of NAC administration.

The Tianjin-Grade system provides accurate pretreatment prognosis prediction in patients with PDAC through integration of anatomical and biological parameters, thus serving as a reliable tool for prognostic assessment. This system facilitates the development of personalized preoperative therapeutic strategies.

The role of intraoperative radiation therapy (IORT) in the management of resectable pancreatic cancer (RPC) remains unclear. To date, the application of IORT using a low-energy X-ray source has not been extensively investigated. Therefore, this study was conducted to evaluate the safety and efficacy of IORT using a 50 kV X-ray source in treating RPC.

Patients with RPC who underwent radical pancreatectomy and IORT were enrolled. The primary endpoint was time to treatment failure (TTF) survival, whereas the secondary endpoints were safety and overall survival (OS).

By November 2023, 35 patients with RPC were treated according to the study protocol. The median TTF was 11.67 months, whereas the median OS for the cohort was 22.2 months. The local recurrence rate was 20%. The most common postoperative complication was pancreatic fistula. The incidence of delayed gastric emptying was 20%. Within 30 days after surgery, one patient experienced abdominal pain, another experienced vomiting, and one died because of abdominal infection and a grade C pancreatic fistula. Carcinoembryonic antigen (CEA) and D-dimer levels significantly correlated with TTF and OS in multivariate analyses. The carbohydrate antigen 19-9 (CA19-9) level was another prognostic factor significantly associated with OS. Patients with low D-dimer and normal CA19-9 levels showed prolonged OS with an IORT dose ≤ 15 Gy.

This study supports use of IORT with a 50 kV X-ray source in treating RPC. IORT using a low-energy X-ray source was well-tolerated and feasible. Additionally, D-dimer, CEA, and CA19-9 levels may help identify patient profiles potentially benefitting from IORT.

Little progress has been made in recent years using first-line chemotherapy, including gemcitabine combined with nab-paclitaxel, FOLFIRINOX, and NALIRIFOX, for advanced pancreatic adenocarcinoma (APC). In addition, the optimal second-line chemotherapy regimen has not been determined. This study aimed to compare the effectiveness of different types of second-line chemotherapy for APC.

Patients with APC who received first-line treatment from January 2008 to January 2021 were considered eligible for this retrospective analysis. The primary and secondary endpoints were overall survival (OS) and progression-free survival (PFS), respectively.

Four hundred and thirty-seven and 617 patients were treated with 5-fluorouracil- and gemcitabine-based chemotherapy as first-line treatment, respectively. Demographic and clinical features, except age and liver metastasis, were comparable between the two groups (P < 0.05). The median OS was 8.8 and 7.8 months in patients who received a 5-fluorouracil- and gemcitabine-based combined regimen for first-line therapy, respectively (HR = 1.244, 95% CI = 1.090–1.419; P < 0.001). The median OS was 5.6 and 1.9 months in patients who received second-line chemotherapy and supportive care, respectively (HR = 0.766, 95% CI = 0.677–0.867; P < 0.001). The median PFS was not significantly differently between gemcitabine or 5-fluorouracil monotherapy and combination therapy.

A 5-fluorouracil- or gemcitabine-based combined regimen was shown to be as effective as a single 5-fluorouracil or gemcitabine regimen as second-line therapy for patients with APC.

Tumor cell malignancy is indicated by histopathological differentiation and cell proliferation. Ki-67, an indicator of cellular proliferation, has been used for tumor grading and classification in breast cancer and neuroendocrine tumors. However, its prognostic significance in pancreatic ductal adenocarcinoma (PDAC) remains uncertain.

Patients who underwent radical pancreatectomy for PDAC were retrospectively enrolled, and relevant prognostic factors were examined. Grade of malignancy (GOM), a novel index based on histopathological differentiation and Ki-67, is proposed, and its clinical significance was evaluated.

The optimal threshold for Ki-67 was determined to be 30%. Patients with a Ki-67 expression level > 30% rather than ≤ 30% had significantly shorter 5-year overall survival (OS) and recurrence-free survival (RFS). In multivariate analysis, both histopathological differentiation and Ki-67 were identified as independent prognostic factors for OS and RFS. The GOM was used to independently stratify OS and RFS into 3 tiers, regardless of TNM stage and other established prognostic factors. The tumor-node-metastasis-GOM stage was used to stratify survival into 5 distinct tiers, and surpassed the predictive performance of TNM stage for OS and RFS.

Ki-67 is a valuable prognostic indicator for PDAC. Inclusion of the GOM in the TNM staging system may potentially enhance prognostic accuracy for PDAC.

Pancreatic ductal adenocarcinoma (PDAC) is a highly malignant gastrointestinal cancer with a 5-year survival rate of only 9%. Of PDAC patients, 15%-20% are eligible for radical surgery. Gemcitabine is an important chemotherapeutic agent for patients with PDAC; however, the efficacy of gemcitabine is limited due to resistance. Therefore, reducing gemcitabine resistance is essential for improving survival of patients with PDAC. Identifying the key target that determines gemcitabine resistance in PDAC and reversing gemcitabine resistance using target inhibitors in combination with gemcitabine are crucial steps in the quest to improve survival prognosis in patients with PDAC.

We constructed a human genome-wide CRISPRa/dCas 9 overexpression library in PDAC cell lines to screen key targets of drug resistance based on sgRNA abundance and enrichment. Then, co-IP, ChIP, ChIP-seq, transcriptome sequencing, and qPCR were used to determine the specific mechanism by which phospholipase D1 (PLD1) confers resistance to gemcitabine.

PLD1 combines with nucleophosmin 1 (NPM1) and triggers NPM1 nuclear translocation, where NPM1 acts as a transcription factor to upregulate interleukin 7 receptor (IL7R) expression. Upon interleukin 7 (IL-7) binding, IL7R activates the JAK1/STAT5 signaling pathway to increase the expression of the anti-apoptotic protein, BCL-2, and induce gemcitabine resistance. The PLD1 inhibitor, Vu0155069, targets PLD1 to induce apoptosis in gemcitabine-resistant PDAC cells.

PLD1 is an enzyme that has a critical role in PDAC-associated gemcitabine resistance through a non-enzymatic interaction with NPM1, further promoting the downstream JAK1/STAT5/Bcl-2 pathway. Inhibiting any of the participants of this pathway can increase gemcitabine sensitivity.

Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy. CD8⁺ T cells, cancer stem cells (CSCs), and tumor budding (TB) have been significantly correlated with the outcome of patients with PDAC, but the correlations have been independently reported. In addition, no integrated immune-CSC-TB profile for predicting survival in patients with PDAC has been established.

Multiplexed immunofluorescence and artificial intelligence (AI)-based comprehensive analyses were used for quantification and spatial distribution analysis of CD8⁺ T cells, CD133⁺ CSCs, and TB. In vivo humanized patient-derived xenograft (PDX) models were established. Nomogram analysis, calibration curve, time-dependent receiver operating characteristic curve, and decision curve analyses were performed using R software.

The established ‘anti-/pro-tumor’ models showed that the CD8⁺ T cell/TB, CD8⁺ T cell/CD133⁺ CSC, TB-adjacent CD8⁺ T cell, and CD133⁺ CSC-adjacent CD8⁺ T cell indices were positively associated with survival of patients with PDAC. These findings were validated using PDX-transplanted humanized mouse models. An integrated nomogram-based immune-CSC-TB profile that included the CD8⁺ T cell/TB and CD8⁺ T cell/CD133⁺ CSC indices was established and shown to be superior to the tumor-node-metastasis stage model in predicting survival of patients with PDAC.

‘Anti-/pro-tumor’ models and the spatial relationship among CD8⁺ T cells, CSCs, and TB within the tumor microenvironment were investigated. Novel strategies to predict the prognosis of patients with PDAC were established using AI-based comprehensive analysis and machine learning workflow. The nomogram-based immune-CSC-TB profile can provide accurate prognosis prediction for patients with PDAC.