Pancreatic neuroendocrine neoplasms represent a highly heterogeneous group of malignancies exhibiting a broad spectrum of biological behaviors ranging from indolent to highly aggressive. The formulation of therapeutic strategies requires a comprehensive consideration of patient condition and tumor biological characteristics. Neoadjuvant therapy has demonstrated promising efficacy in tumor downstaging,enhancing R0 resection rates,and improving prognoses across various solid tumors,yet its application in pancreatic neuroendocrine neoplasms remains underexplored with limited clinical evidence. This review systematically examines critical issues in neoadjuvant management of pancreatic neuroendocrine neoplasms based on contemporary guidelines and emerging literature,encompassing patient selection criteria,regimen optimization,response evaluation,and optimal surgical timing. Current challenges persist in standardizing neoadjuvant approaches,necessitating multicenter prospective studies to establish high-level evidence. Future advancements in artificial intelligence and precision medicine hold potential to revolutionize personalized therapeutic paradigms,ultimately improving patient survival outcomes.

Pancreatic neuroendocrine neoplasms represent a highly heterogeneous group of malignancies exhibiting a broad spectrum of biological behaviors ranging from indolent to highly aggressive. The formulation of therapeutic strategies requires a comprehensive consideration of patient condition and tumor biological characteristics. Neoadjuvant therapy has demonstrated promising efficacy in tumor downstaging,enhancing R0 resection rates,and improving prognoses across various solid tumors,yet its application in pancreatic neuroendocrine neoplasms remains underexplored with limited clinical evidence. This review systematically examines critical issues in neoadjuvant management of pancreatic neuroendocrine neoplasms based on contemporary guidelines and emerging literature,encompassing patient selection criteria,regimen optimization,response evaluation,and optimal surgical timing. Current challenges persist in standardizing neoadjuvant approaches,necessitating multicenter prospective studies to establish high-level evidence. Future advancements in artificial intelligence and precision medicine hold potential to revolutionize personalized therapeutic paradigms,ultimately improving patient survival outcomes.

Objective:To explore the clinicopathologic features of early-onset pancreatic cancer (EOPC) and its correlation with dyslipidemia and prognostic analysis.Methods:This is a retrospective cohort study. Clinical and pathological data of 455 patients with pancreatic cancer who underwent radical surgery from January 2013 to September 2020 in the Department of Pancreatic Surgery, Qilu Hospital, Shandong University were retrospectively collected. According to the onset age≤50 years, the patients were divided into EOPC group(67 cases) and later-onset pancreatic cancer (LOPC) group(388 cases). There were 48 males and 19 females in the EOPC group, aged (44.4±5.7) years(range: 28.0 to 50.0 years); and 230 males and 158 females in the LOPC group, aged (63.0±7.2)years (range: 51.0 to 86.0 years). EOPC was divided into two groups according to the blood lipid status: dyslipidemia (50 cases) and normal (17 cases). General information, blood lipid data, clinicopathological parameters and follow-up information were collected. χ2 test, Mann-Whitney U test and Logistic regression analysis were used to evaluate the difference or correlation between groups, and Cox regression analysis and Kaplan-Meier survival curve were used to analyze the impact of EOPC and dyslipidemia on the prognosis. Propensity score matching was used to match two groups of patients in a 1∶1 ratio using nearest neighbor matching, with a caliper set at 0.05. Results:Compared with LOPC group, EOPC group with a higher proportion of patients with body mass index ≥24 kg/m 2 (55.8%(24/43) vs. 38.7%(113/292), χ2=4.542 ,P=0.033), dyslipidemia(74.6%(50/67) vs. 57.7%(224/388), χ2=6.808, P=0.009), pancreatic head cancer (73.1% (49/67) vs. 60.0%(231/385), χ2=4.176, P=0.041) and a lower proportion of patients with type 2 diabetes (9.0%(6/67) vs. 24.2%(94/388), χ2=7.771, P=0.005) and hypertension (9.0%(6/67) vs. 33.0%(128/388), χ2=15.885, P<0.01). Compared the proportion of dyslipidemia in the two groups,there was a higher proportion of high density lipoprotein cholesterol(HDL-C) abnormality in the EOPC group (65.7%(44/67) vs. 42.8%(166/388), χ2=12.044, P<0.01), whereas there was no significant difference in other lipid indices. Kaplan-Meier survival curve analysis of dyslipidemia did not have a significant effect on the prognosis of EOPC patients ( P=0.430). The results of further Logistic regression analysis showed that gender( OR=6.445 (95% CI: 1.692 to 24.548), P=0.006) and tumor location ( OR=5.352 (95% CI: 1.374 to 20.846), P=0.016) were independent related factors with serum lipid level in patients with EOPC. Conclusions:Compared with LOPC, EOPC is more likely to be combined with obesity and HDL-C abnormalities, and the proportion of pancreatic head cancer is also higher, but there is no significant difference in prognosis between the two groups. In the EOPC patients, serum lipid level is associated with gender and tumor site, but has no effect on survival.

Objective:To investigate the application value of scenario simulation combined with standardized patient teaching in the training of doctor-patient communication skills among interns.Methods:A total of 110 clinical medicine interns were selected from Qilu Hospital of Shandong University and were divided into experimental group and control group using a random number table, with 55 interns in each group. The interns in the control group received traditional lecturing, and those in the experimental group received scenario simulation combined with standardized patient case-based teaching. The SEGUE Communication Skill Evaluation Scale and Patient Satisfaction Questionnaire were used to assess the improvement in communication skills in both groups, and Physician Self-Evaluation Scale and Course Satisfaction Questionnaire were used to assess the effectiveness of the course and the degree of satisfaction with the course. SPSS 26.0 was used for the t-test, the Mann-Whitney U test, and the rank sum test. Results:After training, both groups showed significant improvements in communication skills and patient satisfaction [experimental group in terms of communication skills: (55.38±13.11) vs. (74.82±6.75), P<0.001; experimental group in terms of patient satisfaction: 39.00 (39.00, 42.00) vs. 81.00 (79.00, 83.00), P<0.01; control group in terms of communication skills: (56.53±12.34) vs. (65.45±10.18), P<0.001; control group in terms of patient satisfaction: 39.00 (39.00, 42.00) vs. 73.00 (68.00, 77.00), P<0.001], and the experimental group had significantly higher scores than the control group [communication skills: (74.82±6.75) vs. (65.45±10.18), P<0.001; patient satisfaction: 81.00 (79.00, 83.00) vs. 73.00 (68.00, 77.00), P<0.001]. The Physician Self-Evaluation Scale showed that the experimental group had a significant improvement compared with the control group ( P<0.05). The results of the Course Satisfaction Questionnaire showed that the degree of overall satisfaction of the course was only 87.28% in the control group, while all the interns in the experimental group were satisfied with the course ( P<0.001); the new teaching method showed great advantages ( P<0.001). Conclusions:In the training of doctor-patient communication skills among interns, the application of scenario simulation combined with standardized patient case-based teaching can significantly improve their abilities of the application of knowledge application, humanistic concern, and communication skills, and therefore, it is an effective and promising method for the training of doctor-patient communication skills.

Objective:To investigate the clinicopathological characteristics and prognosis of pancreatic cancer (PC) patients with fatty pancreas (FP).Methods:The retrospective cohort study was conducted. The clinicopathological data of 116 patients with PC who underwent surgery at Qilu Hospital of Shandong University from January 2013 to January 2022 were collected. There were 85 males and 31 females, aged 60(54,65)years. Observation indicators: (1) clinicopathological characteristics of PC patients with FP; (2) influencing factors for FP in PC patients; (3) prognosis of PC patients with FP. Comparison of count data between groups was conducted using the Pearson chi-square test. Multivariate analysis was conducted using the Logistic regression model. The Kaplan-Meier method was used to plot survival curve and calculate survival rate, and Cox proportional hazard model was used for survival analysis.Results:(1) Clinicopathological characteristics of PC patients with FP. Of the 116 PC patients, there were 43 cases with FP and 73 cases without FP. Cases with tumor location at pancreatic head were 36 in PC patients with FP and 46 in PC patients without FP. Cases with tumor location at pancreatic body or tail were 7 in PC patients with FP and 27 in PC patients without FP. Cases with high-density lipoprotein cholesterol ≥1.04 mmol/L were 14 in PC patients with FP and 34 in PC patients without FP. Cases with dyslipidemia were 33 in PC patients with FP and 36 in PC patients without FP. There were significant differences in tumor location, high-density lipoprotein cholesterol and plasma lipid between PC patients with and without FP ( χ2=5.600, 4.588, 5.165, P<0.05). (2) Influencing factors for FP in PC patients. Results of multivariate analysis showed that no correlation was found between tumor location, high-density lipoprotein cholesterol, plasma lipid and FP in PC patients ( P>0.05). (3) Prognosis of PC patients with FP. Eighty of the 116 PC patients were followed up for 30.8(15.1,57.5)months, with the median overall survival time of 24.0 months. Among them, 54 patients with FP had a median overall survival time of 19.5 months, 26 patients without FP had a median overall survival time of 24.6 months, showing no significant difference in survival between them ( hazard ratio=1.031, P>0.05). Conclusions:There are differ-ences in tumor location, high-density lipoprotein cholesterol and plasma lipid between PC patients with and without FP, but no correlation is found between the above indicators and FP in PC patients. There is no significant difference in prognosis between patients with and without FP.

Objective:To investigate the application value of scenario simulation combined with standardized patient teaching in the training of doctor-patient communication skills among interns.Methods:A total of 110 clinical medicine interns were selected from Qilu Hospital of Shandong University and were divided into experimental group and control group using a random number table, with 55 interns in each group. The interns in the control group received traditional lecturing, and those in the experimental group received scenario simulation combined with standardized patient case-based teaching. The SEGUE Communication Skill Evaluation Scale and Patient Satisfaction Questionnaire were used to assess the improvement in communication skills in both groups, and Physician Self-Evaluation Scale and Course Satisfaction Questionnaire were used to assess the effectiveness of the course and the degree of satisfaction with the course. SPSS 26.0 was used for the t-test, the Mann-Whitney U test, and the rank sum test. Results:After training, both groups showed significant improvements in communication skills and patient satisfaction [experimental group in terms of communication skills: (55.38±13.11) vs. (74.82±6.75), P<0.001; experimental group in terms of patient satisfaction: 39.00 (39.00, 42.00) vs. 81.00 (79.00, 83.00), P<0.01; control group in terms of communication skills: (56.53±12.34) vs. (65.45±10.18), P<0.001; control group in terms of patient satisfaction: 39.00 (39.00, 42.00) vs. 73.00 (68.00, 77.00), P<0.001], and the experimental group had significantly higher scores than the control group [communication skills: (74.82±6.75) vs. (65.45±10.18), P<0.001; patient satisfaction: 81.00 (79.00, 83.00) vs. 73.00 (68.00, 77.00), P<0.001]. The Physician Self-Evaluation Scale showed that the experimental group had a significant improvement compared with the control group ( P<0.05). The results of the Course Satisfaction Questionnaire showed that the degree of overall satisfaction of the course was only 87.28% in the control group, while all the interns in the experimental group were satisfied with the course ( P<0.001); the new teaching method showed great advantages ( P<0.001). Conclusions:In the training of doctor-patient communication skills among interns, the application of scenario simulation combined with standardized patient case-based teaching can significantly improve their abilities of the application of knowledge application, humanistic concern, and communication skills, and therefore, it is an effective and promising method for the training of doctor-patient communication skills.

Objective:To investigate the clinicopathological characteristics and prognosis of pancreatic cancer (PC) patients with fatty pancreas (FP).Methods:The retrospective cohort study was conducted. The clinicopathological data of 116 patients with PC who underwent surgery at Qilu Hospital of Shandong University from January 2013 to January 2022 were collected. There were 85 males and 31 females, aged 60(54,65)years. Observation indicators: (1) clinicopathological characteristics of PC patients with FP; (2) influencing factors for FP in PC patients; (3) prognosis of PC patients with FP. Comparison of count data between groups was conducted using the Pearson chi-square test. Multivariate analysis was conducted using the Logistic regression model. The Kaplan-Meier method was used to plot survival curve and calculate survival rate, and Cox proportional hazard model was used for survival analysis.Results:(1) Clinicopathological characteristics of PC patients with FP. Of the 116 PC patients, there were 43 cases with FP and 73 cases without FP. Cases with tumor location at pancreatic head were 36 in PC patients with FP and 46 in PC patients without FP. Cases with tumor location at pancreatic body or tail were 7 in PC patients with FP and 27 in PC patients without FP. Cases with high-density lipoprotein cholesterol ≥1.04 mmol/L were 14 in PC patients with FP and 34 in PC patients without FP. Cases with dyslipidemia were 33 in PC patients with FP and 36 in PC patients without FP. There were significant differences in tumor location, high-density lipoprotein cholesterol and plasma lipid between PC patients with and without FP ( χ2=5.600, 4.588, 5.165, P<0.05). (2) Influencing factors for FP in PC patients. Results of multivariate analysis showed that no correlation was found between tumor location, high-density lipoprotein cholesterol, plasma lipid and FP in PC patients ( P>0.05). (3) Prognosis of PC patients with FP. Eighty of the 116 PC patients were followed up for 30.8(15.1,57.5)months, with the median overall survival time of 24.0 months. Among them, 54 patients with FP had a median overall survival time of 19.5 months, 26 patients without FP had a median overall survival time of 24.6 months, showing no significant difference in survival between them ( hazard ratio=1.031, P>0.05). Conclusions:There are differ-ences in tumor location, high-density lipoprotein cholesterol and plasma lipid between PC patients with and without FP, but no correlation is found between the above indicators and FP in PC patients. There is no significant difference in prognosis between patients with and without FP.

Objective:To explore the clinicopathologic features of early-onset pancreatic cancer (EOPC) and its correlation with dyslipidemia and prognostic analysis.Methods:This is a retrospective cohort study. Clinical and pathological data of 455 patients with pancreatic cancer who underwent radical surgery from January 2013 to September 2020 in the Department of Pancreatic Surgery, Qilu Hospital, Shandong University were retrospectively collected. According to the onset age≤50 years, the patients were divided into EOPC group(67 cases) and later-onset pancreatic cancer (LOPC) group(388 cases). There were 48 males and 19 females in the EOPC group, aged (44.4±5.7) years(range: 28.0 to 50.0 years); and 230 males and 158 females in the LOPC group, aged (63.0±7.2)years (range: 51.0 to 86.0 years). EOPC was divided into two groups according to the blood lipid status: dyslipidemia (50 cases) and normal (17 cases). General information, blood lipid data, clinicopathological parameters and follow-up information were collected. χ2 test, Mann-Whitney U test and Logistic regression analysis were used to evaluate the difference or correlation between groups, and Cox regression analysis and Kaplan-Meier survival curve were used to analyze the impact of EOPC and dyslipidemia on the prognosis. Propensity score matching was used to match two groups of patients in a 1∶1 ratio using nearest neighbor matching, with a caliper set at 0.05. Results:Compared with LOPC group, EOPC group with a higher proportion of patients with body mass index ≥24 kg/m 2 (55.8%(24/43) vs. 38.7%(113/292), χ2=4.542 ,P=0.033), dyslipidemia(74.6%(50/67) vs. 57.7%(224/388), χ2=6.808, P=0.009), pancreatic head cancer (73.1% (49/67) vs. 60.0%(231/385), χ2=4.176, P=0.041) and a lower proportion of patients with type 2 diabetes (9.0%(6/67) vs. 24.2%(94/388), χ2=7.771, P=0.005) and hypertension (9.0%(6/67) vs. 33.0%(128/388), χ2=15.885, P<0.01). Compared the proportion of dyslipidemia in the two groups,there was a higher proportion of high density lipoprotein cholesterol(HDL-C) abnormality in the EOPC group (65.7%(44/67) vs. 42.8%(166/388), χ2=12.044, P<0.01), whereas there was no significant difference in other lipid indices. Kaplan-Meier survival curve analysis of dyslipidemia did not have a significant effect on the prognosis of EOPC patients ( P=0.430). The results of further Logistic regression analysis showed that gender( OR=6.445 (95% CI: 1.692 to 24.548), P=0.006) and tumor location ( OR=5.352 (95% CI: 1.374 to 20.846), P=0.016) were independent related factors with serum lipid level in patients with EOPC. Conclusions:Compared with LOPC, EOPC is more likely to be combined with obesity and HDL-C abnormalities, and the proportion of pancreatic head cancer is also higher, but there is no significant difference in prognosis between the two groups. In the EOPC patients, serum lipid level is associated with gender and tumor site, but has no effect on survival.

Pancreatic neuroendocrine neoplasm (pNEN) is highly heterogeneous, and the prognosis varies among tumors of different stages and grades. However, there is lacking high pro-gnostic predictors with sensitivity and specificity. Inflammation plays a pivotal role in the occurrence and development of different tumors, various inflammatory markers such as neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, lymphocyte-monocyte ratio are of great significance in the diagnosis, treat-ment, and prognosis of tumors. Several studies have demonstrated that inflammatory markers are associated with poor prognosis and can serve as predictive factors for tumor prognosis. The authors summarize recent advances in the researches focused on the prognostic value of inflamma-tory markers in pNEN, in order to provide novel insights for clinical decision-making of pNEN.

An increasing number of studies suggested that the tumor microenvironment exerts a substantial influence on the pathophysiology of pancreatic cancer. As a crucial component of the tumor microenvironment,the tumor stroma plays a pivotal role in the occurrence,development,and chemotherapy resistance of pancreatic cancer. By serving as a proxy for the interaction between tumor cells and the microenvironment,the tumor stroma ratio(TSR) has emerged as a focal point of investigation in recent years. At present,numerous studies show that a low TSR is a protective factor for the prognosis of resectable pancreatic cancer. Additionally, patients with a low TSR are more suitable for the gemcitabine and albumin-bound paclitaxel chemotherapy regimen. But these researches are not conclusive, and there is still a gap between guiding precision treatment. Further research and exploration are required. Integration of artificial intelligence deep learning models into traditional pathological and imaging assessments facilitates precise evaluation of the TSR. It can also enable stratification and precision treatment of pancreatic cancer patients based on this index.