Changyuan Hu

ORCID: 0000-0002-7193-1537
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About
Contact & Profiles
Research Areas
  • Gastric Cancer Management and Outcomes
  • Computer Graphics and Visualization Techniques
  • Interactive and Immersive Displays
  • Cytomegalovirus and herpesvirus research
  • Cancer Mechanisms and Therapy
  • Cholangiocarcinoma and Gallbladder Cancer Studies
  • Ferroptosis and cancer prognosis
  • AI in cancer detection
  • Cancer-related molecular mechanisms research
  • Radiomics and Machine Learning in Medical Imaging
  • CRISPR and Genetic Engineering
  • Microtubule and mitosis dynamics
  • Handwritten Text Recognition Techniques
  • Image Processing and 3D Reconstruction
  • Tactile and Sensory Interactions
  • Cancer-related Molecular Pathways
  • Mycobacterium research and diagnosis
  • Esophageal and GI Pathology
  • Advanced Numerical Analysis Techniques
  • Immune Cell Function and Interaction
  • Inflammatory Biomarkers in Disease Prognosis
  • Herpesvirus Infections and Treatments
  • Metastasis and carcinoma case studies
  • Lung Cancer Treatments and Mutations
  • Sarcoma Diagnosis and Treatment

Monash University
2021-2025

Australian Regenerative Medicine Institute
2021-2025

Wenzhou Medical University
2013-2024

First Affiliated Hospital of Wenzhou Medical University
2013-2020

Guilin Medical University
2017

École Polytechnique Fédérale de Lausanne
1998-2004

Gastric cancer is one of the deadliest cancers worldwide. An accurate prognosis essential for effective clinical assessment and treatment. Spatial patterns in tumor microenvironment (TME) are conceptually indicative staging progression gastric patients. Using spatial TME by integrating transforming multiplexed immunohistochemistry (mIHC) images as Cell-Graphs, we propose a graph neural network-based approach, termed Cell-Graph Signature or CGSignature, powered artificial intelligence,...

10.1038/s41698-022-00285-5 article EN cc-by npj Precision Oncology 2022-06-23

Anisotropic media are prevalent in many geological and physical scenarios, characterized by direction-dependent properties that pose challenges to conventional imaging techniques. Our numerical simulations demonstrate that electromagnetic waves exhibit waveform splitting in anisotropic media, leading poor results. To overcome this issue, we have developed a Reverse Time Migration (RTM) algorithm specifically for media. We compare the...

10.5194/egusphere-egu25-6760 preprint EN 2025-03-14

Lymph node (LN) metastasis is widely accepted as a poor prognosis indicator in patients with gastric cancer. An accurate preoperative prediction of LN status crucial importance for the planning treatment. The aim present study was to assess predictive value platelet/lymphocyte (PLR) and neutrophil/lymphocyte rates (NLR) on cancer develop new score system predict metastasis.A total 492 operable were enrolled our study. clinical utility PLR NLR evaluated by receiver operating characteristic...

10.1097/meg.0000000000000563 article EN European Journal of Gastroenterology & Hepatology 2016-02-05

Digital pathology supports analysis of histopathological images using deep learning methods at a large-scale. However, applications in this area have been limited by the complexities configuration computational environment and hyperparameter optimization, which hinder deployment reduce reproducibility.Here, we propose HEAL, learning-based automated framework for easy, flexible multi-faceted image analysis. We demonstrate its utility functionality performing two case studies on lung cancer...

10.1093/bioinformatics/btab380 article EN Bioinformatics 2021-05-14

CXCL14, a new member of the CXC subfamily chemokines, is differentially expressed in several types tumors. The expression CXCL14 and its clinical significance gastric cancer are unclear to date. In this study, was detected by quantitative PCR immunohistochemistry assay. DNA methylation analyzed bisulfite sequencing PCR. Student's t-test Kruskal-Wallis H test were used evaluate differences between groups. Kaplan-Meier survival curve Cox regression model cancer. Data indicated that levels mRNA...

10.3892/ijo.2013.2078 article EN International Journal of Oncology 2013-08-23

The worldwide contagion, human cytomegalovirus (HCMV), may cause a series of disorders in infected individuals. aim the present study was to investigate whether HCMV infection is associated with development gastric cancer. In this study, positive expression unique long (UL)133‑UL138 and immediate‑early (IE)1 genes, which are viral latency replication, respectively, were detected using nested polymerase chain reaction. A χ2 test logistic regression analysis performed further preliminary data....

10.3892/ol.2014.2148 article EN Oncology Letters 2014-05-16

Imatinib is the first line of therapy for patients with metastatic or gastrointestinal stromal tumors (GIST). However, drug resistance limits long-term effect imatinib. Long non-coding RNAs (lncRNAs) are emerging as key players in regulating cancer. In this study, we investigated association between lncRNA CCDC26 and IGF-1R GIST their involvement resistance. Considering role lncRNAs cancer, hypothesized that regulated by lncRNAs. The expression a series reported resistance-related lncRNAs,...

10.1590/1414-431x20198399 article EN cc-by Brazilian Journal of Medical and Biological Research 2019-01-01

Abstract Introduction Genes contain multiple promoters that can drive the expression of various transcript isoforms. Although isoforms from same gene could have diverse and non-overlapping functions, current loss-of-function methodologies are not able to differentiate between isoform-specific phenotypes. Results Here, we show CRISPR interference (CRISPRi) be adopted for targeting specific within a gene, enabling genetic screens. We use this strategy test functional dependencies 820 gained in...

10.1186/s13059-021-02266-6 article EN cc-by Genome biology 2021-01-26

Abstract Motivation The molecular subtyping of gastric cancer (adenocarcinoma) into four main subtypes based on integrated multiomics profiles, as proposed by Cancer Genome Atlas (TCGA) initiative, represents an effective strategy for patient stratification. However, this approach requires the use multiple technological platforms, and is quite expensive time-consuming to perform. A computational that uses histopathological image data infer could be a practical, cost- time-efficient...

10.1093/bioinformatics/btac456 article EN Bioinformatics 2022-07-08

Abstract Esophageal cancer (EC) is characteristic of early regional lymph node metastasis (LNM) and most patients with have a poor prognosis. However, the current diagnostic techniques do not enable precise differentiation EC LNM, prognostic stratification, individual survival estimation. To identify potential molecular biomarkers for we explored differently expressed genes in The Cancer Genome Atlas database between 77 non‐LNM cases 88 LNM by limma package R. Then, according to univariate...

10.1002/jcb.27416 article EN Journal of Cellular Biochemistry 2018-09-22

Colorectal cancer (CRC) is one of the deadliest tumours, but its pathogenesis remains unclear. The involvement differentially expressed long non-coding RNAs (lncRNAs) in CRC tumorigenesis makes them suitable tumour biomarkers.Here, we screened 150 cases and 85 paracancerous tissues GEO database for lncRNAs. levels lncRNA candidates 84 tissue samples were validated by qRT-PCR their clinical significance was analyzed. We identified 15 lncRNAs with differential expression tumours; among them,...

10.1371/journal.pone.0164590 article EN cc-by PLoS ONE 2016-10-27

Summary The PEAK family of pseudokinases, comprising PEAK1-3, are signalling scaffolds that play oncogenic roles in several poor prognosis human cancers, including triple negative breast cancer (TNBC). However, therapeutic targeting pseudokinases is challenging due to their lack catalytic activity. To address this, we screened for PEAK1 effectors by affinity purification and mass spectrometry, identifying calcium/calmodulin-dependent protein kinase 2 (CAMK2)D CAMK2G. promoted CAMK2D/G...

10.1101/2024.02.14.580406 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2024-02-15

Different molecular classifications for gastric cancer (GC) have been proposed based on multi‐omics platforms with the long‐term goal of improved precision treatment. However, GC (phospho)proteome remains incompletely characterized, particularly at level tyrosine phosphorylation. In addition, previous multiomics‐based stratification patient cohorts has lacked identification corresponding cell line models and comprehensive validation broad or subgroup‐selective therapeutic targets. To address...

10.1002/1878-0261.13654 article EN cc-by Molecular Oncology 2024-04-16

We propose a new, highly flexible font description method that explicitly describes characters as assemblies of parameterizable shape components. By varying global parameters, we can derive fonts vary in weight, condensation, and shape. Fonts made components are designs, which easily adapt to various display printing conditions (such condensed when lacking space, high-quality optical scaling, adaptation existing character metrics). Besides applications related typeface design, based on may...

10.1109/38.920629 article EN IEEE Computer Graphics and Applications 2001-01-01

Outline font technology has long been established as the standard way to represent typefaces, allowing characters be represented independently of print size and resolution. Although outline technologies are mature produce results sufficient quality for professional printing applications, they inherently inflexible, which presents limitations in a number document engineering applications. In 1990s, topic finding successor fonts was hot research. Unfortunately, none methods developed at time...

10.1145/1860559.1860596 article EN 2010-09-21

Background and aim: Periostin is a protein from the Fascilin family. It commonly present in normal tissues responsible for cell adhesion. Evidence has emerged showing that changes periostin expression play an important role tumor initiation, development, progression. This study aims to investigate effect of gastric cancer (GC) patients who underwent gastrectomy. Seven hundred forty-seven GC gastrectomy between December 2006 July 2011 were included this study. Methods: 70 paired adjacent...

10.2147/cmar.s175596 article EN cc-by-nc Cancer Management and Research 2018-12-01

We previously found that human cytomegalovirus (HCMV) infection is associated with gastric cancer (GC) development. UL111A plays a role during HCMV productive or latent infection. However, expression profiles in GC tissues and their relationship this disease are unknown.PCR nested RT-PCR were performed to verify 71 its transcripts 16 UL111A-positive samples. levels patients evaluated by immunohistochemistry on tissue microarray for 620 patients. The correlations among levels,...

10.1007/s00432-019-03092-x article EN cc-by Journal of Cancer Research and Clinical Oncology 2020-02-05

ABSTRACT Gastric cancer is one of the deadliest cancers worldwide. Accurate prognosis essential for effective clinical assessment and treatment. Spatial patterns in tumor microenvironment (TME) are conceptually indicative staging progression gastric patients. Using spatial TME by integrating transforming multiplexed immunohistochemistry (mIHC) images as Cell-Graphs, we propose a novel graph neural network-based approach, termed Cell-Graph Signature or CG , powered artificial intelligence,...

10.1101/2021.09.01.21262086 preprint EN medRxiv (Cold Spring Harbor Laboratory) 2021-09-10
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