1
|
Song C, Chen X, Ma J, Buhe H, Liu Y, Saiyin H, Ma L. Construction of a pancreatic cancer nerve invasion system using brain and pancreatic cancer organoids. J Tissue Eng 2023; 14:20417314221147113. [PMID: 36636100 PMCID: PMC9829995 DOI: 10.1177/20417314221147113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 12/08/2022] [Indexed: 01/09/2023] Open
Abstract
Pancreatic cancer (PC) is a fatal malignancy in the human abdominal cavity that prefers to invade the surrounding nerve/nerve plexus and even the spine, causing devastating and unbearable pain. The limitation of available in vitro models restricts revealing the molecular mechanism of pain and screening pain-relieving strategies to improve the quality of life of end-stage PC patients. Here, we report a PC nerve invasion model that merged human brain organoids (hBrO) with mouse PC organoids (mPCO). After merging hBrOs with mPCOs, we monitored the structural crosstalk, growth patterns, and mutual interaction dynamics of hBrO with mPCOs for 7 days. After 7 days, we also analyzed the pathophysiological statuses, including proliferation, apoptosis and inflammation. The results showed that mPCOs tend to approximate and intrude into the hBrOs, merge entirely into the hBrOs, and induce the retraction/shrinking of neuronal projections that protrude from the margin of the hBrOs. The approximating of mPCOs to hBrOs accelerated the proliferation of neuronal progenitor cells, intensified the apoptosis of neurons in the hBrOs, and increased the expression of inflammatory molecules in hBrOs, including NLRP3, IL-8, and IL-1β. Our system pathophysiologically replicated the nerve invasions in mouse GEMM (genetically engineered mouse model) primary and human PCs and might have the potential to be applied to reveal the molecular mechanism of nerve invasion and screen therapeutic strategies in PCs.
Collapse
Affiliation(s)
- Chenyun Song
- Department of Anatomy, Histology &
Embryology, School of Basic Medical Science, Fudan University, Shanghai, People’s
Republic of China
| | - Xinyu Chen
- Department of Anatomy, Histology &
Embryology, School of Basic Medical Science, Fudan University, Shanghai, People’s
Republic of China
| | - Jixin Ma
- Department of Anatomy, Histology &
Embryology, School of Basic Medical Science, Fudan University, Shanghai, People’s
Republic of China
| | - Hada Buhe
- The School of Pharmacy, Fujian Medical
University, Fuzhou, People’s Republic of China
| | - Yang Liu
- Department of Anatomy, Histology &
Embryology, School of Basic Medical Science, Fudan University, Shanghai, People’s
Republic of China
| | - Hexige Saiyin
- State Key Laboratory of Genetic
Engineering, School of Life Sciences, Fudan University, Shanghai, People’s Republic
of China,Hexige Saiyin, State Key Laboratory of
Genetic Engineering, School of Life Sciences, Fudan University, Songhu Road,
Shanghai 200438, People’s Republic of China.
| | - Lixiang Ma
- Department of Anatomy, Histology &
Embryology, School of Basic Medical Science, Fudan University, Shanghai, People’s
Republic of China
| |
Collapse
|
2
|
An P, Lin Y, Zhang J, Hu Y, Qin P, Ye Y, Li X, Feng G, Wang J. Prognostic Predicting Model of Pancreatic Body Tail Carcinoma Using Clinical and CT Radiomic Data. Technol Cancer Res Treat 2023; 22:15330338231186739. [PMID: 37464839 PMCID: PMC10363996 DOI: 10.1177/15330338231186739] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Revised: 05/06/2023] [Accepted: 05/19/2023] [Indexed: 07/20/2023] Open
Abstract
Objective: To collect the clinical, pathological, and computed tomography (CT) data of 143 accepted surgical cases of pancreatic body tail cancer (PBTC) and to model and predict its prognosis. Methods: The clinical, pathological, and CT data of 143 PBTC patients who underwent surgical resection or endoscopic ultrasound biopsy and were pathologically diagnosed in Xiangyang No.1 People's Hospital Hospital from December 2012 to December 2022 were retrospectively analyzed. The Kaplan-Meier method was adopted to make survival curves based on the 1 to 5 years' follow-up data, and then the log-rank was employed to analyze the survival. According to the median survival of 6 months, the PBTC patients were divided into a group with a good prognosis (survival time ≥ 6 months) and a group with a poor prognosis (survival time < 6 months), and further the training set and test set were set at a ratio of 7/3. Then logistic regression was conducted to find independent risk factors, establish predictive models, and further the models were validated. Results: The Kaplan-Meier analysis showed that age, diabetes, tumor, node, and metastasis stage, CT enhancement mode, peripancreatic lymph node swelling, nerve invasion, surgery in a top hospital, tumor size, carbohydrate antigen 19-9, carcinoembryonic antigen, Radscore 1/2/3 were the influencing factors of PBTC recurrence. The overall average survival was 7.4 months in this study. The multivariate logistic analysis confirmed that nerve invasion, surgery in top hospital, dilation of the main pancreatic duct, and Radscore 2 were independent factors affecting the mortality of PBTC (P < .05). In the test set, the combined model achieved the best predictive performance [AUC 0.944, 95% CI (0.826-0.991)], significantly superior to the clinicopathological model [AUC 0.770, 95% CI (0.615-0.886), P = .0145], and the CT radiomics model [AUC 0.883, 95% CI (0.746-0.961), P = .1311], with a good clinical net benefit confirmed by decision curve. The same results were subsequently validated on the test set. Conclusion: The diagnosis and treatment of PBTC are challenging, and survival is poor. Nevertheless, the combined model benefits the clinical management and prognosis of PBTC.
Collapse
Affiliation(s)
- Peng An
- Department of Radiology, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
- Department of Internal Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China
| | - Yong Lin
- Department of Radiology, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
- Department of Pancreatic Surgery, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
| | - Junyan Zhang
- Department of Internal Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China
- Depatment of Radiology, Hubei Clinical Research Center of Parkinson’s disease, Xiangyang Key Laboratory of Movement Disorders, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, P.R.C
| | - Yan Hu
- Department of Pancreatic Surgery, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
- Department of Pharmacy and Laboratory, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
| | - Ping Qin
- Department of Pancreatic Surgery, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
- Depatment of Radiology, Hubei Clinical Research Center of Parkinson’s disease, Xiangyang Key Laboratory of Movement Disorders, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, P.R.C
- Department of internal medicine, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
| | - Yingjian Ye
- Department of Radiology, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
- Department of internal medicine, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
| | - Xiumei Li
- Depatment of Radiology, Hubei Clinical Research Center of Parkinson’s disease, Xiangyang Key Laboratory of Movement Disorders, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, Hubei Province, P.R.C
- Department of Pharmacy and Laboratory, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
- Department of internal medicine, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
| | - Guoyan Feng
- Department of Radiology, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
- Department of Internal Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China
- Department of Pharmacy and Laboratory, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang, China
| | - Jinsong Wang
- Department of Internal Medicine, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei, China
| |
Collapse
|
3
|
Zhou H, Wang Y, Guo C, Li X, Cui W, Wang Z, Chen X. Microscopic Invasion of Nerve Is Associated With Aggressive Behaviors in Pancreatic Neuroendocrine Tumors. Front Oncol 2021; 11:630316. [PMID: 33718210 PMCID: PMC7947608 DOI: 10.3389/fonc.2021.630316] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 01/18/2021] [Indexed: 01/02/2023] Open
Abstract
Objectives The role of neural invasion has been reported in cancers. Few studies also showed that neural invasion was related to survival rate in patients with pancreatic neuroendocrine tumor (PNET). The aim of this study is to explore the association between neural invasion and aggressive behaviors in PNET. Methods After excluding those patients with biopsy and with missing histological data, a total 197 patients with PNET who underwent surgery were retrospectively analyzed. The demographic data and histological data were obtained. Aggressive behavior was defined based on extra-pancreatic extension including vascular invasion, organ invasion and lymph node metastases. Logistic regression analyses were used to identify risk factor for aggressive behavior. Receiver operating characteristic (ROC) curves were performed to show the performance of nomograms in evaluating aggressive behavior of PNET. Results The prevalence of neural invasion in the cohort was 10.1% (n = 20). The prevalence of lymph node metastasis, organ invasion, and vascular invasion in PNET patients with neural invasion was higher than those in patients without neural invasion (p < 0.05). Neural invasion was more common in grade 3 (G3) tumors than G1/G2 (p < 0.01). Tumor size, tumor grade, and neural invasion were independent associated factors of aggressive behavior (p < 0.05) after adjusting for possible cofounders in total tumors and G1/G2 tumors. Two nomograms were developed to predict the aggressive behavior. The area under the ROC curve was 0.84 (95% confidence interval (CI): 0.77–0.90) for total population and was 0.84 (95% CI: 0.78–0.89) for patients with G1/G2 PNET respectively. Conclusions Neural invasion is associated with aggressive behavior in PNET. Nomograms based on tumor size, grade and neural invasion show acceptable performances in predicting aggressive behavior in PNET.
Collapse
Affiliation(s)
- Hao Zhou
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yajie Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Chuangen Guo
- Department of Radiology, The First Affiliated Hospital, School of Medical College, Zhejiang University, Hangzhou, China
| | - Xiaoshuang Li
- Department of Radiology, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Wenjing Cui
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Zhongqiu Wang
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Xiao Chen
- Department of Radiology, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| |
Collapse
|
4
|
Abstract
The COVID-19 pandemic that swept the world at the beginning of 2020 is still raging. It is well established that in addition to respiratory symptoms, COVID-19 can also have neurological manifestations that may result from direct or indirect neurological damage. But are these neurological manifestations coincidental or causal? From a neurological perspective, these symptoms could be the result of neurological damage following SARS-CoV-2 infection, or they could be coincidental, from causes such as secondary systemic complications or side effects of drug treatment. The aim of this review is to raise clinician's awareness to the development of neurological impairment in SARS-CoV-2 infected patients in the current normative prevention and control.
Collapse
Affiliation(s)
- Fangfang Zhao
- Institute of Cerebrovascular Disease Research and Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
| | - Ziping Han
- Institute of Cerebrovascular Disease Research and Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
- Beijing Geriatric Medical Research Center and Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, China.
| | - Rongliang Wang
- Institute of Cerebrovascular Disease Research and Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
- Beijing Geriatric Medical Research Center and Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, China.
| | - Yumin Luo
- Institute of Cerebrovascular Disease Research and Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China.
- Beijing Geriatric Medical Research Center and Beijing Key Laboratory of Translational Medicine for Cerebrovascular Diseases, Beijing, China.
- Beijing Institute for Brain Disorders, Capital Medical University, Beijing, China.
| |
Collapse
|
5
|
Lu Y, Wu T, Sheng Y, Dai Y, Xia B, Xue Y. Correlation between Claudin-18 expression and clinicopathological features and prognosis in patients with gastric cancer. J Gastrointest Oncol 2020; 11:1253-1260. [PMID: 33456998 PMCID: PMC7807262 DOI: 10.21037/jgo-20-463] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 12/16/2020] [Indexed: 11/06/2022] Open
Abstract
BACKGROUND To investigate the correlation between Claudin-18 expression and the clinicopathological features and prognosis of gastric cancer. METHODS A total of 63 patients who underwent gastric cancer surgery from December 2012 to June 2013 were recruited as the research participants. The clinicopathological data and prognostic information of the participants were collected, and expression levels of Claudin-18 in gastric cancer and adjacent tissues were detected by immunohistochemical (IHC) staining. The correlation between Claudin-18 expression and clinicopathological features of gastric cancer patients was analyzed. The Cox regression model was used to analyze the risk factors associated with the prognosis of gastric cancer patients. RESULTS The expression of Claudin-18 was positive in 35 (55.6%) of the participants' gastric cancer tissues, which was significantly lower than that in the adjacent tissues (51 tissues/81.0%), and the difference was statistically significant (P=0.002). In addition, the IHC staining score of Claudin-18 expression in gastric cancer tissues (1.49±1.69), was significantly lower than that in the adjacent tissues (4.61±1.81), and the difference was statistically significant (P=0.016), The incidence of nerve invasion in patients with low expression of Claudin-18 was significantly higher than that in patients with high expression of Claudin-18 (P=0.038). In addition, univariate Cox regression analysis showed that nerve invasion, Claudin-18 staining score, tumor size, and positive count of lymph nodes were risk factors associated with the survival of gastric cancer patients. Multivariate Cox regression analysis showed that Claudin-18 staining score and tumor size were independent risk factors associated with the survival of gastric cancer patients. The overall survival (OS) of patients with low Claudin-18 staining score or larger tumor size was significantly reduced. CONCLUSIONS The low expression of Claudin-18 was closely related to nerve invasion in gastric cancer, which indicated the poor clinical prognosis of gastric cancer patients.
Collapse
Affiliation(s)
- Yufeng Lu
- Department of Gastroenterology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Tielong Wu
- Department of Gastroenterology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Yingyue Sheng
- Department of Gastroenterology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Yuanyuan Dai
- Department of Gastroenterology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Beilei Xia
- Department of Gastroenterology, Affiliated Hospital of Jiangnan University, Wuxi, China
| | - Yuzheng Xue
- Department of Gastroenterology, Affiliated Hospital of Jiangnan University, Wuxi, China
| |
Collapse
|
6
|
Li T, Sheng L, Chunyan C, Haoqiang H, Kangqiang P, Xiao G, Lizhi L. The significance of diffusion tensor magnetic resonance imaging for patients with nasopharyngeal carcinoma and trigeminal nerve invasion. Medicine (Baltimore) 2017; 96:e6072. [PMID: 28178163 PMCID: PMC5313020 DOI: 10.1097/md.0000000000006072] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2016] [Revised: 12/22/2016] [Accepted: 01/16/2017] [Indexed: 11/25/2022] Open
Abstract
To investigate the significance of diffusion tensor imaging (DTI) for patients with nasopharyngeal carcinoma (NPC) and trigeminal nerve invasion.Fifty-two patients with NPC and unilateral infringement and 30 healthy controls were recruited for our study. Routine magnetic resonance imaging (MRI) and DTI were performed for all participants. Within-group and between-group comparisons of DTI metrics, including fractional anisotropy (FA) and the apparent diffusion coefficient (ADC) of the third (V3) branch of the bilateral trigeminal nerves of all participants, were carried out.The FA and ADC values on the affected sides of patients revealed a significant decrease and increase, respectively, when compared with those on the unaffected sides of patients and the healthy controls (P = 0.000 for all), whereas there were no significant differences in DTI metrics between both sides of healthy controls or between the unaffected sides of patients and the healthy controls (P = 0.930, 0.580, 0.095, and 0.360, respectively). The decreasing FA rate on the affected sides of patients correlated negatively with the increasing ADC rate (r = -0.675, P = 0.000).DTI can quantitatively evaluate microstructural abnormalities of the V3 branch of the trigeminal nerve in patients with NPC, which is important for the early detection of trigeminal nerve invasion to achieve a precise T classification, assess prognosis, and guide treatment.
Collapse
Affiliation(s)
- Tian Li
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
| | - Li Sheng
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
| | - Cui Chunyan
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
| | - He Haoqiang
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
| | - Peng Kangqiang
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
| | - Gong Xiao
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, People's Republic of China
| | - Liu Lizhi
- Department of Radiology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine
| |
Collapse
|