Investigator

Tzu-Hao Chang

Professor · Taipei Medical University, Graduate Institute of Biomedical Informatics

TCTzu-Hao Chang
Papers(5)
Extracellular-Vesicle…Computational analysi…COL6A3 Exosomes Promo…COL11A1 activates can…Recurrent cytologic i…
Collaborators(10)
Ting-Lin YenChih-Ming HoYi-Hui WuCheng-Yang ChouChia-Yen HuangChien-Chin ChenSan-Lin YouSoon-Cen HuangVijesh Kumar YadavTzong-Yi Lee
Institutions(7)
Taipei Medical Univer…Cathey general hospit…Chi Mei Medical CenterNational Cheng Kung U…Chia Yi Christian Hos…Fu Jen Catholic Unive…Chinese University Of…

Papers

Computational analysis for identification of the extracellular matrix molecules involved in endometrial cancer progression

Recurrence and poorly differentiated (grade 3 and above) and atypical cell type endometrial cancer (EC) have poor prognosis outcome. The mechanisms and characteristics of recurrence and distal metastasis of EC remain unclear. The extracellular matrix (ECM) of the reproductive tract in women undergoes extensive structural remodelling changes every month. Altered ECMs surrounding cells were believed to play crucial roles in a cancer progression. To decipher the associations between ECM and EC development, we generated a PAN-ECM Data list of 1516 genes including ECM molecules (ECMs), synthetic and degradation enzymes for ECMs, ECM receptors, and soluble molecules that regulate ECM and used RNA-Seq data from The Cancer Genome Atlas (TCGA) for the studies. The alterations of PAN-ECM genes by comparing the RNA-Seq expressions profiles of EC samples which have been grouped as tumorigenesis and metastasis group based on their pathological grading were identified. Differential analyses including functional enrichment, co-expression network, and molecular network analysis were carried out to identify the specific PAN-ECM genes that may involve in the progression of EC. Eight hundred and thirty-one and 241 PAN-ECM genes were significantly involved in tumorigenesis (p-value <1.571e-15) and metastasis (p-value <2.2e-16), respectively, whereas 140 genes were in the intersection of tumorigenesis and metastasis. Interestingly, 92 of the 140 intersecting PAN-ECM genes showed contrasting fold changes between the tumorigenesis and metastasis datasets. Enrichment analysis for the contrast PAN-ECM genes indicated pathways such as GP6 signaling, ILK signaling, and interleukin (IL)-8 signaling pathways were activated in metastasis but inhibited in tumorigenesis. The significantly activated ECM and ECM associated genes in GP6 signaling, ILK signaling, and interleukin (IL)-8 signaling pathways may play crucial roles in metastasis of EC. Our study provides a better understanding of the etiology and the progression of EC.

COL6A3 Exosomes Promote Tumor Dissemination and Metastasis in Epithelial Ovarian Cancer

Our study explores the role of cancer-derived extracellular exosomes (EXs), particularly focusing on collagen alpha-3 (VI; COL6A3), in facilitating tumor dissemination and metastasis in epithelial ovarian cancer (EOC). We found that COL6A3 is expressed in aggressive ES2 derivatives, SKOV3 overexpressing COL6A3 (SKOV3/COL6A3), and mesenchymal-type ovarian carcinoma stromal progenitor cells (MSC-OCSPCs), as well as their EXs, but not in less aggressive SKOV3 cells or ES2 cells with COL6A3 knockdown (ES2/shCOL6A3). High COL6A3 expression correlates with worse overall survival among EOC patients, as evidenced by TCGA and GEO data analysis. In vitro experiments showed that EXs from MSC-OCSPCs or SKOV3/COL6A3 cells significantly enhance invasion ability in ES2 or SKOV3/COL6A3 cells, respectively (both, p &lt;0.001). In contrast, ES2 cells with ES2/shCOL6A3 EXs exhibited reduced invasion ability (p &lt; 0.001). In vivo, the average disseminated tumor numbers in the peritoneal cavity were significantly greater in mice receiving intraperitoneally injected SKOV3/COL6A3 cells than in SKOV3 cells (p &lt; 0.001). Furthermore, mice intravenously (IV) injected with SKOV3/COL6A3 cells and SKOV3/COL6A3-EXs showed increased lung colonization compared to mice injected with SKOV3 cells and PBS (p = 0.007) or SKOV3/COL6A3 cells and PBS (p = 0.039). Knockdown of COL6A3 or treatment with EX inhibitor GW4869 or rapamycin-abolished COL6A3-EXs may suppress the aggressiveness of EOC.

COL11A1 activates cancer-associated fibroblasts by modulating TGF-β3 through the NF-κB/IGFBP2 axis in ovarian cancer cells

Ovarian cancer has a unique tumor microenvironment (TME) that enables cancer-associated fibroblasts (CAFs) to interact with cellular and matrix constituents and influence tumor development and migration into the peritoneal cavity. Collagen type XI alpha 1 (COL11A1) is overexpressed in CAFs; therefore this study examines its role during CAF activation in epithelial ovarian cancer (EOC). Coculturing human ovarian fibroblasts (HOFs) with high COL11A1-expressing EOC cells or exposure to the conditioned medium of these cells prompted the expression of COL11A1 and CAF phenotypes. Conversely, coculturing HOFs with low COL11A1-expressing EOC cells or COL11A1-knockdown abrogated COL11A1 overexpression and secretion, in addition to CAF activation. Increased p-SP1 expression attributed to COL11A1-mediated extracellular signal-regulated kinase activation (ERK) induced p65 translocation into the nucleus and augmented its binding to the insulin-like growth factor binding protein 2 (IGFBP2) promoter, ultimately inducing TGF-β3 activation. The CAF-cancer cell crosstalk triggered interleukin-6 release, which in turn promoted EOC cell proliferation and invasiveness. These in vitro results were confirmed by in vivo findings in a mouse model, showing that COL11A1 overexpression in EOC cells promoted tumor formation and CAF activation, which was inhibited by TGF-β3 antibody. Human tumors with high TGF-β3 levels showed elevated expression of COL11A1 and IGFBP2, which was associated with poor survival. Our findings suggest the possibility that anti-TGF-β3 treatment strategy may be effective in targeting CAFs in COL11A1-positive ovarian tumors.

Recurrent cytologic inflammation on cervical smear and risk of low-grade cervical abnormalities in cytology-based screening: A 25-year multicenter cohort study from HPV-resource–limited settings

Cytologic inflammation is a common finding in cervical screening, yet its clinical significance remains uncertain, particularly in settings where human papillomavirus (HPV) testing is not routinely available. We examined whether recurrent inflammatory findings on Papanicolaou (Pap) smears predict subsequent cervical abnormalities in a cytology-based screening context. We conducted a 25-year multicenter hospital-based cohort study including 21,574 women who underwent at least three consecutive Pap smears between 1997 and 2021 at three teaching hospitals in Taiwan. The number of baseline smears showing inflammation was defined as the exposure. Subsequent cytologic outcomes (ASC-US, ASC-H, LSIL, HSIL+) and histologic outcomes (CIN1 and CIN2 +) were identified from hospital registries. Adjusted hazard ratios (HRs) were estimated using Cox proportional hazards models. Women with any cytologic inflammation had significantly higher risks of subsequent cytologic abnormalities, including ASC-US and ASC-H (HR = 1.61, 95% CI 1.27-2.04), LSIL (HR = 1.64, 95% CI 1.06-2.54), as well as histologic CIN1 (HR = 1.50, 95% CI 1.07-2.10). The risk was greatest among those with recurrent inflammation (≥2 findings), with HRs of 2.24 (95% CI 1.68-2.99) for cytologic ASC-US and ASC-H, 1.81 (95% CI 1.03-3.18) for cytologic LSIL, and 1.94 (95% CI 1.27-2.97) for histologic CIN1. No significant association was observed for cytologic HSIL+ or histologic CIN2 + . Recurrent cytologic inflammation was associated with an increased risk of low-grade but not high-grade cervical lesions. These findings suggest that repeated inflammatory cytology reflects a state of cervical epithelial instability or infection-related alteration rather than direct oncogenic progression. In cytology-dominant screening settings prior to widespread HPV DNA-based screening, inflammatory findings may provide contextual information for interpreting patterns of low-grade abnormality detection and highlight the importance of structured screening frameworks during periods of screening transition.

10Works
5Papers
11Collaborators
Cell Line, TumorOvarian NeoplasmsNeoplasm MetastasisCarcinoma, Ovarian EpithelialTumor MicroenvironmentNeoplasm InvasivenessEndometrial NeoplasmsCancer-Associated Fibroblasts

Positions

2019–

Professor

Taipei Medical University · Graduate Institute of Biomedical Informatics

2016–

Associate

Taipei Medical University · Graduate Institute of Biomedical Informatics

2012–

Assistant Professor

Taipei Medical University · Graduate Institute of Biomedical Informatics

2010–

Postdoctoral Researcher

National Chiao Tung University · Institute of Bioinformatics and Systems Biology

Education

2009

Ph.D.

National Central University · Department of Computer Science & Information Engineering

Links & IDs
0000-0001-7011-3754

Scopus: 14218866000