A5054930498- Gastric Cancer Management and Outcomes
- Cancer Immunotherapy and Biomarkers
- Radiomics and Machine Learning in Medical Imaging
- Gastrointestinal Tumor Research and Treatment
- Colorectal and Anal Carcinomas
- Immunotherapy and Immune Responses
- Helicobacter pylori-related gastroenterology studies
- Liver physiology and pathology
- Cancer Genomics and Diagnostics
- Sphingolipid Metabolism and Signaling
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Regulation of Appetite and Obesity
- Video Surveillance and Tracking Methods
- Infrared Target Detection Methodologies
- Colorectal Cancer Treatments and Studies
- Cancer-related molecular mechanisms research
- Immune Response and Inflammation
- Adipose Tissue and Metabolism
- Asthma and respiratory diseases
- Metastasis and carcinoma case studies
- Immune cells in cancer
- Fibroblast Growth Factor Research
- Ultrasound and Hyperthermia Applications
- Pancreatic and Hepatic Oncology Research
- Biochemical Analysis and Sensing Techniques
Southern Medical University
2017-2024
State Key Laboratory of Vehicle NVH and Safety Technology
2024
Fourth People’s Hospital of Jinan
2015-2024
Nanfang Hospital
2017-2024
First Affiliated Hospital of Xi'an Jiaotong University
2024
City of Hope
2020-2021
Qingdao University
2021
Affiliated Hospital of Qingdao University
2021
Beckman Research Institute
2020
Nanjing Medical University
2020
Importance Tertiary lymphoid structures (TLSs) are associated with a favorable prognosis and improved response to cancer immunotherapy. The current approach for evaluation of TLSs is limited by interobserver variability high complexity cost specialized imaging techniques. Objective To develop machine learning model automated quantitative based on routine histopathology images. Design, Setting, Participants In this multicenter, international diagnostic/prognostic study, an interpretable was...
Purpose: Current tumor-node-metastasis (TNM) staging system cannot provide adequate information for prediction of prognosis and chemotherapeutic benefits. We constructed a classifier to predict identify subset patients who can benefit from adjuvant chemotherapy.Experimental Design: detected expression 15 immunohistochemistry (IHC) features in tumors 251 gastric cancer (GC) evaluated the association their level with overall survival (OS) disease-free (DFS). Then, integrating multiple...
The current staging system of gastric cancer is not adequate for defining a prognosis and predicting the patients most likely to benefit from chemotherapy.To construct survival prediction model based on specific tumor patient characteristics that enables individualized predictions net adjuvant chemotherapy with stage II or III cancer.In this multicenter retrospective analysis, was constructed using data training cohort 746 who satisfied study's inclusion criteria underwent surgery between...
Current gastric cancer staging alone cannot predict prognosis and adjuvant chemotherapy benefits in stage II III cancer. Tumor immune microenvironment biomarkers tumor-cell chemosensitivity might add predictive value to staging. This study aimed construct a signature integrating tumor chemosensitivity-related features improve the prediction of survival patients with We used IHC assess 26 related tumor, stroma, tumors from 223 evaluated association disease-free (DFS) overall (OS). Support...
Abstract The tumor immune microenvironment (TIME) is associated with prognosis and immunotherapy response. Here we develop validate a CT-based radiomics score (RS) using 2272 gastric cancer (GC) patients to investigate the relationship between imaging biomarker neutrophil-to-lymphocyte ratio (NLR) in TIME, including its correlation response advanced GC. RS achieves an AUC of 0.795–0.861 predicting NLR TIME. Notably, indistinguishable from IHC-derived status DFS OS each cohort (HR range:...
Substantial progress has been made in using deep learning for cancer detection and diagnosis medical images. Yet, there is limited success on prediction of treatment response outcomes, which important implications personalized strategies. A significant hurdle clinical translation current data-driven models lack interpretability, often attributable to a disconnect from the underlying pathobiology. Here, we present biology-guided approach that enables simultaneous tumor immune stromal...
Background Only a subset of patients with gastric cancer experience long-term benefits from immune checkpoint inhibitors (ICIs). Currently, there is deficiency in precise predictive biomarkers for ICI efficacy. The aim this study was to develop and validate pathomics-driven ensemble model predicting the response ICIs cancer, using H&E-stained whole slide images (WSI). Methods This multicenter retrospectively collected analyzed WSIs clinical data 584 cancer. An model, integrating four...
Abstract Sphingosine 1-phosphate (S1P)/S1P receptor (S1PR) system has been implicated in the pathological process of liver injury. This study was designed to evaluate effects S1P/S1PR on bone marrow-derived monocyte/macrophage (BMM) migration mouse models cholestatic injury and identify signaling pathway underlying this process. S1PR 1–3 expression BMM characterized by immunofluorescence, RT-PCR Western blot. Cell determined Boyden chambers. In vivo , chimera mice, which received BM...
Cryptotanshinone (CT), a purified compound initially isolated from the dried roots of Salvia militorrhiza. Bunge, exhibits cytotoxic antitumor effects on many tumors. We have shown that CT possesses dual capacities to concomitantly inhibit proliferation lung cancer cells and promote generation immunity. In this study, we investigated whether could be used treat hepatocellular carcinoma (HCC) using mouse Hepa1-6 model. inhibited hepatoma (Hepa1-6) in vitro by inducing apoptosis through...
Abstract Micro RNA s (mi s), as a novel class of small noncoding s, have been identified important transcriptional and posttranscriptional inhibitors gene expression. Ultrasound‐targeted microbubble destruction ( UTMD ) is noninvasive method for micro delivery. We aimed to investigate the effect miR‐133a on breast cancer treatment. It has reported that mi ‐133a involved in various cancers. was lowly expressed tissues cell lines MCF ‐7 MDA ‐ MB ‐231. The expression significantly upregulated...
Blood hemoglobin (Hb) is a common indicator for diagnosing anemia and often determined through laboratory analysis of venous samples. One alternative to laboratory-based methods the handheld HemoCue® Hb 201+ device, which requires finger prick wicking blood into pretreated cuvette analysis. An gravity method being investigated improved accuracy. Further, recent developments in noninvasive technologies could provide an accurate, rapid, safe, point-of-care option estimation while addressing...
Background Despite remarkable benefits have been provided by immune checkpoint inhibitors in gastric cancer (GC), predictions of treatment response and prognosis remain unsatisfactory, making identifying biomarkers desirable. The aim this study was to develop validate a CT imaging biomarker predict the immunotherapy patients with GC investigate associated infiltration patterns. Methods This retrospective included 294 who received anti-PD-1/PD-L1 from three independent medical centers between...
Lung cancer is currently the leading cause of cancer-related mortality with very limited effective therapy. Screening a variety traditional Chinese medicines (TCMs) for their capacity to inhibit proliferation human lung A549 cells and induce in vitro maturation DCs led identification cryptotanshinone (CT), compound purified from TCM Salvia miltiorrhiza Bunge. Here, CT was shown mouse Lewis carcinoma (LLC) by upregulating p53, downregulating cyclin B1 Cdc2, and, consequently, inducing G2/M...
Abstract We show that treatment with the FDA-approved anti-parasitic drug ivermectin induces immunogenic cancer cell death (ICD) and robust T infiltration into breast tumors. As an allosteric modulator of ATP/P2X4/P2X7 axis which operates in both immune cells, also selectively targets immunosuppressive populations including myeloid cells Tregs, resulting enhanced Teff/Tregs ratio. While neither agent alone showed efficacy vivo, combination therapy checkpoint inhibitor anti-PD1 antibody...
Abstract Chemoresistance remains the primary challenge of clinical treatment gastric cancer (GC), making biomarkers chemoresistance crucial for decision. Our previous study has reported that p21-actived kinase 6 (PAK6) is a prognostic factor selecting which patients with GC are resistant to 5-fluorouracil/oxaliplatin chemotherapy. However, mechanistic role PAK6 in chemosensitivity unknown. The present identified as an important modulator DNA damage response (DDR) and GC. Analysis specimens...
15-Deoxy-Δ 12,14 -Prostaglandin J 2 (15d-PGJ ), a natural peroxisome proliferator-activated receptor gamma (PPAR-γ) ligand, has been implicated as new antiinflammatory compound with possible clinical applications. Based on this concept, study was designed to evaluate the effects of 15d-PGJ bone marrow–derived monocyte/macrophage (BMM) migration, phagocytosis, and cytokine expression after liver injury using mouse models induced by cholestasis or carbon tetrachloride. Mice were lethally...
To determine whether p21-activated Kinase (PAK) 6 is a prognostic and predictive marker in gastric cancer (GC) to construct classifier that can identify subset of patients who are highly sensitive 5-fluorouracil/oxaliplatin chemotherapy. We retrospectively analyzed the expression levels PAK6, cyclooxygenase 2, p21WAF1, Ki-67, excision repair cross-complementing gene 1, thymidylate synthase 242 paraffin-embedded GC specimens training cohort by immunohistochemistry. Then, we used support...
Highlights This research proposes a model based on DTs and BPNN accurately predicts the growth indexes state of lettuce. Abstract. proposed full-space prediction Digital Twins (DTs) for intelligent optimization control environmental parameters crop in plant factories. Compared with traditional models, this significantly improved production efficiency resource utilization factories by dynamically adjusting strategies through real-time data collection feedback. The employed Back Propagation...
Harnessing immune system to treat cancer requires simultaneous generation of tumor-specific CTLs and curtailment tumor immunosuppressive environment. Here, we developed an immunotherapeutic regimen capable eliminating large established mouse tumors using HMGN1, a DC-activating TLR4 agonist inducing anti-tumor immunity. Intratumoral delivery HMGN1 with low dose Cytoxan cured mice bearing small (∅ ≈ 0.5 cm), but not 1.0 cm) CT26 tumors. Screening for activators synergizing in activating DC...
Objective: The aim of this study is to evaluate whether radiomic imaging signatures based on computed tomography (CT) could predict peritoneal metastasis (PM) in gastric cancer (GC) and develop a nomogram for preoperative prediction PM status. Methods: We collected CT images pathological T4 955 consecutive patients two centers analyzing the radiomics features retrospectively then developed validated model built from 292 quantitative image training cohort validation cohorts. Lasso regression...