Shi-Tao Jiang's research while affiliated with Peking Union Medical College Hospital and other places

Background Primary gallbladder gastrinoma is an exceptionally uncommon tumor and is a rare form of neuroendocrine neoplasm. Until now, no cases of primary gallbladder gastrinoma and rare cases of primary gastrinoma from the biliary system have been reported. Case presentation We report a case of a 50-year-old woman with watery diarrhea who intermittently received proton pump inhibitors (PPIs) as treatment. A serum gastrin level of 711 pg/ml was recorded after the withdrawal of PPI over 1 week. Enhanced computed tomography (CT) imaging and octreotide imaging uncovered a solitary tumor at the hepatic hilar region. During the laparoscopic surgery, it was determined that the tumor had its origin in the wall of the gallbladder neck, prompting the implementation of a laparoscopic cholecystectomy. Histological analysis revealed a primary neuroendocrine tumor from the neck of the gallbladder. The patient’s symptoms disappeared after the surgery with a follow-up of 6 months. Conclusions This case confirmed that primary gallbladder gastrinoma represents a distinct nosological entity. Immunohistochemical analysis plays a pivotal role in the diagnostic process. Given the limited understanding of primary gallbladder gastrinoma, our objective is to offer novel insights into this rare disease by delivering distinctive information and highlighting the therapeutic significance of surgical intervention.

This study aimed to develop and validate prognostic nomograms that can estimate the probability of 1-, 3- and 5-year overall survival (OS) as well as cancer-specific survival (CSS) for Intrahepatic cholangiocarcinoma (ICCA) patients. Clinical data of 1446 patients diagnosed with ICCA between 2010 and 2017 from the Surveillance, Epidemiology, and End Results (SEER) database were analyzed. In both the OS and the CSS group, the training cohort and validation cohort were divided into a 7:3 ratio. Age, sex, AJCC T stage, AJCC N stage, AJCC M stage, surgical status, and tumor grade were selected as independent prognostic risk factors to build the nomograms. To compare the efficacy of predicting 1-, 3-, and 5-year OS and CSS rates of the nomogram with the 8th edition of the American Joint Committee on Cancer (AJCC) staging system, we evaluated the Harrell’s index of concordance (C-index), area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) in both cohorts. The results showed the nomogram for 1-, 3-, and 5-year OS and CSS prediction performed better than the AJCC staging system. In the subgroup analysis for patients could not receive surgery as the primary treatment. We developed two nomograms for predicting the 1-, and 2-year OS and CSS rates following the same analysis procedure. Results indicate that the performance of both nomograms, which contained sex, AJCC T stage, AJCC M stage, chemotherapy, and tumor grade and prognostic factors, was also superior to the AJCC staging system. Meanwhile, four dynamic network-based nomograms were published. The survival analysis showed the survival rate of patients classified as high-risk based on the nomogram score was significantly lower compared to those categorized as low-risk (P < 0.0001). Finally, accurate and convenient nomograms were established to assist clinicians in making more personalized prognosis predictions for ICCA patients.

Various immunotherapy has been greatly applied to comprehensive treatment of malignant cancer under different degrees of tumor burden. Scientific researches have gained considerable progress in the relationship between immunotherapy and tumor burden in recent years. This review aimed to explore the prospect and developing trends in the field of tumor burden and immunotherapy from a bibliometric perspective. Articles about tumor burden and immunotherapy were collected from the Web of Science Core Collection (WoSCC) (retrieved on January 3, 2023). The R package “Bibliometrix” analyzed the primary bibliometric features and created a three-filed plot to display the relationship between institutions, countries and keywords. VOSviewer was used for co-authorship analysis, co-occurrence analysis and their visualization. And CiteSpace calculated the citation burst references and keywords. A total of 1030 publications were retrieved from 35 years of scientific researches. The United States (US) and China published the most articles. The most productive journals were Cancer Immunology Immunotherapy and Journal for ImmunoTherapy of Cancer . The top one institution of the highest output was University of Texas MD Anderson Cancer Center. The hot keywords of strong citation burst strength in recent years were “nivolumab”, “tumor microenvironment” and “immune checkpoint inhibitor”. The most popular tumor type is melanoma. This bibliometric analysis mapped a basic knowledge structure. The field of tumor burden and immunotherapy is entering a rapid growing stage and keeping it value for future research.

Background Intrahepatic cholangiocarcinoma (ICCA) is one of the most malignant tumors of the biliary system. This study aims to develop and validate a prognostic nomogram that can estimate the probability of 1-, 3- and 5-year cancer-specific survival (CSS) for ICCA patients. Methods Clinical data of 1387 patients diagnosed with ICCA between 2010 and 2017 from the Surveillance, Epidemiology, and End Results database were analyzed. 970 patients were set as the training cohort to construct the nomogram while the rest 417 patients were set as the validation cohort. To compare the efficacy to predict 1-, 3-, and 5-year CSS of the nomogram with the 8th edition of the American Joint Committee on Cancer (AJCC) staging system, we evaluated the Harrell’s index of concordance (C-index), area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) in both cohorts. Meanwhile, a dynamic network-based nomogram was published. Results Age, sex, AJCC T stage, AJCC N stage, AJCC M stage, surgery status, and tumor grade were selected as independent prognostic risk factors to build the nomogram. The C-index in the training and validation cohorts were 0.726 and 0.711 respectively. The AUCs in the training cohort for 1-, 3-, and 5-year CSS prediction were 0.787, 0.828, and 0.843. In the validation cohort, the AUCs were 0.776, 0.817, and 0.782. All of the AUCs of the nomogram for 1-, 3-, and 5-year CSS prediction performed better than the AJCC staging system. Moreover, the DCA analysis demonstrated the net benefit of the nomogram was better. The survival analysis showed the survival rate of patients classified as high-risk based on the nomogram score was significantly lower compared to those categorized as low-risk (p < 0.0001). Conclusions An accurate and convenient nomogram was established to assist clinicians in making more personalized prognosis predictions for ICCA patients.

Background As the complexity and diversity of the tumor immune microenvironment (TIME) are becoming better understood, burgeoning research has progressed in this field. However, there is a scarcity of literature specifically focused on the bibliometric analysis of this topic. This study sought to investigate the development pattern of TIME-related research from 2006 to September 14, 2022, from a bibliometric perspective. Methods We acquired both articles and reviews related to TIME from the Web of Science Core Collection (WoSCC) (retrieved on September 14, 2022). R package “Bibliometrix” was used to calculate the basic bibliometric features, present the collaborative conditions of countries and authors, and generate a three-field plot to show the relationships among authors, affiliations, and keywords. VOSviewer was utilized for co-authorship analysis of country and institution and keyword co-occurrence analysis. CiteSpace was used for citation burst analysis of keywords and cited references. In addition, Microsoft Office Excel 2019 was used to develop an exponential model to fit the cumulative publication numbers. Results A total of 2545 publications on TIME were included, and the annual publication trend exhibited a significant increase over time. China and Fudan University were the most productive country and institution, with the highest number of publications of 1495 and 396, respectively. Frontiers in Oncology held the highest number of publications. A number of authors were recognized as the main contributors in this field. The clustering analysis revealed six clusters of keywords that highlighted the research hot spots in the fields of basic medical research, immunotherapy, and various cancer types separately. Conclusions This research analyzed 16 years of TIME-related research and sketched out a basic knowledge framework that includes publications, countries, journals, authors, institutions, and keywords. The finding revealed that the current research hot spots of the TIME domain lie in “TIME and cancer prognosis”, “cancer immunotherapy”, and “immune checkpoint”. Our researchers identified the following areas: “immune checkpoint-based immunotherapy”, “precise immunotherapy” and “immunocyte pattern”, which may emerge as frontiers and focal points in the upcoming years, offering valuable avenues for further exploration.

Background: Primary gallbladder gastrinoma is an exceptionally uncommon tumor which is a rare form of neuroendocrine neoplasm. Until now, no cases of primary gallbladder gastrinoma and rare cases of primary gastrinoma from the biliary system have been reported. Case presentation: We reported a 50-year-old female with watery diarrhea and intermittently received proton pump inhibitors as treatment. Enhanced computed tomography (CT) imaging and Octreotide imaging uncovered a solitary tumor at the hepatic hilar region. The tumor was found originated from the wall of the gallbladder during the surgery and a subsequent laparoscopic cholecystectomy was exerted. Histological analysis revealed a primary neuroendocrine tumor from the gallbaldder. Conclusion: This case confirmed that primary gallbladder gastrinoma represents a distinct nosological entity. Immunohistochemical analysis plays a pivotal role in the diagnosis process. Due to limited knowledge regarding primary gallbladder gastrinoma, we aim to contribute valuable insights into this rare condition by providing unique information and present the therapeutic value of surgery.

Background: As the complexity and diversity of the tumor immune microenvironment (TIME) are becoming better understood, burgeoning researches got progress in this field. This study sought to investigate the development pattern of TIME-related research in recent years from a bibliometric perspective. Methods: We acquired both articles and reviews related to TIME from the Web of Science Core Collection (WoSCC) (retrieved on September 14, 2022). R package “Bibliometrix” was used to calculate the basic bibliometric features, present the collaborative conditions of countries and authors and generate a three-field plot to show the relationships among authors, affiliations, and keywords. VOSviewer was utilized for co-authorship analysis of country and institution and keyword co-occurrence analysis. CiteSpace was used for citation burst analysis of keywords and cited references. Results: A total of 2545 publications on TIME were included. China, the USA, and Japan had the highest number of publications. Frontiers in Oncology had the highest number of publications. Apart from “expression,” “cancer,” and “cells,” the terms “survival,” “immunotherapy,” and “T-cells” were coequally the most frequently mentioned keywords. Conclusions: This bibliometric study analyzed 16 years of TIME-related research and sketched out a basic knowledge framework that includes publications, countries, journals, authors, institutions, and keywords. The results provided a thorough overview on the broad landscape of this research area.

Background Despite providing clinical benefit, immune checkpoint inhibitors (ICIs) can cause immune-related adverse events (irAEs) in a number of patients. This study explored the development pattern in irAEs research from a bibliometric perspective. Methods We obtained articles and reviews related to irAEs from the Web of Science Core Collection (WoSCC) (retrieved on September 13, 2022). Using the R package “Bibliometrix”, the main bibliometric features were calculated, and a three-filed plot was generated to show the relationship between authors, institutions, and topics. VOSviewer was used for co-authorship and keyword co-occurrence analysis and visualization. CiteSpace was used to detect burst references and keywords. Results A total of 3995 publications on irAEs were included. The United States (US), Japan, and China had the highest publications. The Journal for ImmunoTherapy of Cancer had the highest number of publications. In addition to “immune-related adverse events”, “immune checkpoint inhibitors”, “immunotherapy”, and “nivolumab” were the most frequently used keywords. Conclusions A bibliometric analysis of 17 years of irAEs research was conducted to map a basic knowledge structure including countries, institutions, authors, journals, and publications. The findings provided a comprehensive perspective on the broad future of this research area.

Background Patients with non-alcoholic fatty liver disease (NAFLD) may be more susceptible to coronavirus disease 2019 (COVID-19) and even more likely to suffer from severe COVID-19. Whether there is a common molecular pathological basis for COVID-19 and NAFLD remains to be identified. The present study aimed to elucidate the transcriptional alterations shared by COVID-19 and NAFLD and to identify potential compounds targeting both diseases. Methods Differentially expressed genes (DEGs) for COVID-19 and NAFLD were extracted from the GSE147507 and GSE89632 datasets, and common DEGs were identified using the Venn diagram. Subsequently, we constructed a protein–protein interaction (PPI) network based on the common DEGs and extracted hub genes. Then, we performed gene ontology (GO) and pathway analysis of common DEGs. In addition, transcription factors (TFs) and miRNAs regulatory networks were constructed, and drug candidates were identified. Results We identified a total of 62 common DEGs for COVID-19 and NAFLD. The 10 hub genes extracted based on the PPI network were IL6, IL1B, PTGS2, JUN, FOS, ATF3, SOCS3, CSF3, NFKB2, and HBEGF. In addition, we also constructed TFs–DEGs, miRNAs–DEGs, and protein–drug interaction networks, demonstrating the complex regulatory relationships of common DEGs. Conclusion We successfully extracted 10 hub genes that could be used as novel therapeutic targets for COVID-19 and NAFLD. In addition, based on common DEGs, we propose some potential drugs that may benefit patients with COVID-19 and NAFLD.