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.

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.

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.

Obesity, alcohol consumption and metabolic diseases can cause the accumula-tion and infiltration of adipocytes in pancreatic tissues, resulting in pancreatic steatosis (PS). There is little clinical concern about PS, which has not yet attracted the attention of the physicians. How-ever, previous studies have confirmed that PS is associated with the carcinogenesis, development, surgical complications and prognosis of pancreatic cancer (PC). Within the environment of PS, adipocytes, macrophages and other inflammatory cells infiltrate among the acinar cells, aggravating the local inflammation in pancreatic tissue, stimulating the atypical hyperplasia of the pancreatic duct epithelium, and promoting the occurrence of PC. Patients with PS have a significantly higher incidence of PC and are more susceptible to lymph node metastasis, with worse long-term prognosis. The texture of pancreas become soft and fragile under the condition of PS, and the risk of pancreatic fistula and its related complications evidently increase after pancreatic resections. In terms of imaging examinations, it is common to use abdominal computed tomography or magnetic resonance imaging for the diagnosis of PS. In addition, a large number of adipocytes infiltration in pancreatic acinar tissue can confirm the diagnosis of PS histologically. Surgeons should pay more attention to PS, be familiar with its diagnostic criteria and clinical significance, and take active prevention and early intervention to reduce the occurrence of PC. Regard to PC patients complicated with PS, blood glucose, blood pressure and other metabolic diseases should be well controlled during the perioperative period, surgical details should be comprehensively considered to ensure the quality of pancreatojejunostomy and reduce postoperative complications. Combined with self-experience, the author comprehensively analyzes research advances at home and abroad, summarizes the role of PS in the occurrence and development of PC and its important influence on clinical diagnosis and treatment, and explores the perioperative management strategy of PC patients with PS.

Objective:To examine the characteristics of blood lipid profile and the correlation with clinic-pathological features of pancreatic cancer patients.Methods:The clinical and pathological data of 265 pancreatic cancer patients who received radical surgical treatment at Department of General Surgery,Qilu Hospital,Shandong University from January 2013 to September 2020 were collected and analyzed retrospectively. Among the 265 pancreatic cancer patients,there were 170 males and 95 females,with age of (61.0±9.6)years(range:28 to 86 years). General information,lipid indicators and clinic-pathological information were collected from electronic medical record system,and follow-up information gained by telephone. According to level of serum lipid in pancreatic cancer patients,265 patients were divided into dyslipidemia group( n=115) and normal lipid group( n=150). Pearson χ 2,Student′s t tests, variance analysis or univariate Logistic regression was used to analyze the correlation between dyslipidemia and clinico-pathological characteristics of pancreatic cancer,respectively. Kaplan-Meier survival curve was used to assessed the influence of dyslipidemia on prognosis of pancreatic cancer patients. Results:In 265 pancreatic cancer patients,115(43.4%)of them had dyslipidemias,and the most common form was increase of triglyceride(TG)(72.2%). In pancreatic cancer with dyslipidemias group,patients with body mass index ≥25 kg/m 2 had higher proportion than normal lipid group(36.1%(26/72) vs. 21.2%(21/99),χ2=4.643, P=0.031); The proportion of carcinoma located at head of pancreas(83.5%(96/115) vs. 40.7%(61/150),χ2=49.412, P<0.01), staging of T1/T2(79.1%(91/115) vs. 60.7%(91/150),χ2=10.316, P<0.01) and lymphatic metastasis(36.5%(42/115) vs. 22.7%(34/150),χ2=6.007, P<0.01) were higher. In patients of pancreatic cancer, dyslipidemias were closely associated with tumor location( OR=10.529, P<0.01)and body mass index( OR=3.671, P=0.008). Serum lipid profile results showed that TG,total cholesterol and high-density lipoprotein(HDL) disorders were associated with tumor location( P<0.05). TG disorder had association with body mass index( P<0.05), and HDL disorder had association with tumor stage( P<0.05). Moreover, the result of survival analysis showed that dyslipidemia was not a factor to impact the prognosis of pancreatic cancer patients underwent surgery( P>0.05). Conclusions:In pancreatic cancer patients,TG disorder was the most common type of dyslipidemia. Dyslipidemia has closely association with clinicopathologic features,including tumor location,body mass index,tumor stage. However,dyslipidemia had little effect on prognosis of pancreatic cancer patients.

Objective:To examine the characteristics of blood lipid profile and the correlation with clinic-pathological features of pancreatic cancer patients.Methods:The clinical and pathological data of 265 pancreatic cancer patients who received radical surgical treatment at Department of General Surgery,Qilu Hospital,Shandong University from January 2013 to September 2020 were collected and analyzed retrospectively. Among the 265 pancreatic cancer patients,there were 170 males and 95 females,with age of (61.0±9.6)years(range:28 to 86 years). General information,lipid indicators and clinic-pathological information were collected from electronic medical record system,and follow-up information gained by telephone. According to level of serum lipid in pancreatic cancer patients,265 patients were divided into dyslipidemia group( n=115) and normal lipid group( n=150). Pearson χ 2,Student′s t tests, variance analysis or univariate Logistic regression was used to analyze the correlation between dyslipidemia and clinico-pathological characteristics of pancreatic cancer,respectively. Kaplan-Meier survival curve was used to assessed the influence of dyslipidemia on prognosis of pancreatic cancer patients. Results:In 265 pancreatic cancer patients,115(43.4%)of them had dyslipidemias,and the most common form was increase of triglyceride(TG)(72.2%). In pancreatic cancer with dyslipidemias group,patients with body mass index ≥25 kg/m 2 had higher proportion than normal lipid group(36.1%(26/72) vs. 21.2%(21/99),χ2=4.643, P=0.031); The proportion of carcinoma located at head of pancreas(83.5%(96/115) vs. 40.7%(61/150),χ2=49.412, P<0.01), staging of T1/T2(79.1%(91/115) vs. 60.7%(91/150),χ2=10.316, P<0.01) and lymphatic metastasis(36.5%(42/115) vs. 22.7%(34/150),χ2=6.007, P<0.01) were higher. In patients of pancreatic cancer, dyslipidemias were closely associated with tumor location( OR=10.529, P<0.01)and body mass index( OR=3.671, P=0.008). Serum lipid profile results showed that TG,total cholesterol and high-density lipoprotein(HDL) disorders were associated with tumor location( P<0.05). TG disorder had association with body mass index( P<0.05), and HDL disorder had association with tumor stage( P<0.05). Moreover, the result of survival analysis showed that dyslipidemia was not a factor to impact the prognosis of pancreatic cancer patients underwent surgery( P>0.05). Conclusions:In pancreatic cancer patients,TG disorder was the most common type of dyslipidemia. Dyslipidemia has closely association with clinicopathologic features,including tumor location,body mass index,tumor stage. However,dyslipidemia had little effect on prognosis of pancreatic cancer patients.

Pancreatic cancer is a highly malignancy of the digestive system, with low early diagnosis rate and poor prognosis. Cancer cachexia, muscle and adipose tissue wasting are important factors affecting surgical complications and long-term prognosis of patients with pancreatic cancer. On one hand, the occurrence and development of pancreatic cancer cachexia are associated with the decrease of food intake. On the other hand, the characteristic of tumor hypermetabolism, many inflammatory factors, fat and protein regulatory factors and many neuroendocrine pathways are also involved in pancreatic cancer cachexia. At present, the understanding of cancer cachexia and tissue wasting is not comprehensive, and the diagnostic methods are not unified. The main screening method is based on body mass index, but it is not applicable to obese patients. The detection of serum cytokines and determination of intramuscular fat content based on the abdominal computed tomography scan also play pivotal roles in the diagnosis of pancreatic cancer cachexia. Perioperative inhibition of tissue wasting can not only reduce surgical complications, but also improve the prognosis of pancreatic cancer patients. However, there is no effective method to completely reverse cancer cachexia. Multidisciplinary treatment is the routine therapy. Surgical treatment to remove the tumor is the fundamental measure to impede the development of cachexia. In addition, strengthening nutritional support, reducing inflammation and stress reaction, reducing the muscle wasting are also important in the treatment of cachexia during the perioperative period. Combined with self experience, the authors comprehensively analyze research advances, summarize the etiology, molecular mechanism, diagnosis and treatment of tissue wasting, in order to investigate tissue wasting and perioperative treatment strategies of pancreatic cancer patients.

Compared with other postoperative complications following pancreatic resection, chylous leakage is rare in clinical, which could lead to serious morbidity, including malnutrition,immunosuppression and abdominal infection. The main risk factors for chylous leakage after pancreatic resection are the injury of cisterna chyli or lymphatic vessels caused by intraoperative lymph node dissection and early enteral nutrition. The clinical features of chylous leakage are not specific, and the diagnosis mainly depends on the composition analysis of the drainage fluid. The diagnostic criteria generally adopt the expert consensus of the international Study Group on Pancreatic Surgery,but it is only applicable to isolated chylous leakage and there is still no widely accepted diagnostic criteria in most complex cases. Abdominal fluid analysis and abdominal CT scan are the most applied diagnostic methods for chylous leakage after pancreatic resection,while lymphangiography can not only identify the site of leakage,but also has therapeutic value. For its treatment,the"step-up"treatment strategy is typically applied in most patients. Conservative treatments, including drainage,proper diet and applying octreotide, can benefit most patients. Surgical treatment is not commonly used,and its therapeutic value needs to be further verified. Optimizing perioperative management measures and personalized treatment strategies for different patients can effectively prevent postoperative chylous leakage and maximize the clinical benefits of patients who received pancreatic resection.

Gastroenteropancreatic neuroendocrine tumor G3(GEP-NET G3) is a novel subtype of neuroendocrine neoplasms proposed in 2019,which has unique biological behavior characteristics. However,there are still many challenges and controversies in its diagnosis and treatment. There are obvious differences between GEP-NET G3 and neuroendocrine carcinoma (NEC) in genetic alterations and molecular profiles. The most frequently mutated genes in NET G3 are MEN1,DAXX/ATRX,while in NEC,TP53 and Rb are the most frequently mutated genes. Currently,the mainstream view is that NET G3 and NEC are two distinct diseases with different genetic backgrounds,and NET G3 will not develop into NEC. Several clinical and pathological factors should be considered to distinguish GEP-NET G3 and NEC,which including patients′ medical history,histopathological morphology of neoplasms,Ki-67 index,immunohistochemical results of TP53,Rb,DAXX/ATRX and other markers. Multidisciplinary treatment,including radical resection,chemotherapy,targeted therapy,peptide receptor radionuclide therapy,immunotherapy should be applied in patients with GEP-NET G3. Overall,given its relatively indolent biological behavior,the therapeutic strategy should be more actively. Although the cure strategy of NET G3 has many similarities with NET G1/2,it is completely different from NEC.

Compared with other postoperative complications following pancreatic resection, chylous leakage is rare in clinical, which could lead to serious morbidity, including malnutrition,immunosuppression and abdominal infection. The main risk factors for chylous leakage after pancreatic resection are the injury of cisterna chyli or lymphatic vessels caused by intraoperative lymph node dissection and early enteral nutrition. The clinical features of chylous leakage are not specific, and the diagnosis mainly depends on the composition analysis of the drainage fluid. The diagnostic criteria generally adopt the expert consensus of the international Study Group on Pancreatic Surgery,but it is only applicable to isolated chylous leakage and there is still no widely accepted diagnostic criteria in most complex cases. Abdominal fluid analysis and abdominal CT scan are the most applied diagnostic methods for chylous leakage after pancreatic resection,while lymphangiography can not only identify the site of leakage,but also has therapeutic value. For its treatment,the"step-up"treatment strategy is typically applied in most patients. Conservative treatments, including drainage,proper diet and applying octreotide, can benefit most patients. Surgical treatment is not commonly used,and its therapeutic value needs to be further verified. Optimizing perioperative management measures and personalized treatment strategies for different patients can effectively prevent postoperative chylous leakage and maximize the clinical benefits of patients who received pancreatic resection.