Peng-Chan Lin

Prof. Dr. Peng-Chan Lin

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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27 June 2019 in Cancers
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YCYIH-FUNG CHEN
YIH-FUNG CHEN
PLPeng-Chan Lin
Peng-Chan Lin
YYYU-MIN YEH
YU-MIN YEH
LCLi-Hsien Chen
Li-Hsien Chen
MSMeng-Ru Shen
Meng-Ru Shen
The remodeling of Ca2+ homeostasis has been implicated as a critical event in driving malignant phenotypes, such as tumor cell proliferation, motility, and metastasis. Store-operated Ca2+ entry (SOCE) that is elicited by the depletion of the endoplasmic reticulum (ER) Ca2+ stores constitutes the major Ca2+ influx pathways in most nonexcitable cells. Functional coupling between the plasma membrane Orai channels and ER Ca2+-sensing STIM proteins regulates SOCE activation. Previous studies in the human breast, cervical, and other cancer types have shown the functional significance of STIM/Orai-dependent Ca2+ signals in cancer development and progression. This article reviews the information on the regulatory mechanisms of STIM- and Orai-dependent SOCE pathways in the malignant characteristics of cancer, such as proliferation, resistance, migration, invasion, and metastasis. The recent investigations focusing on the emerging importance of SOCE in the cells of the tumor microenvironment, such as tumor angiogenesis and antitumor immunity, are also reviewed. The clinical implications as cancer therapeutics are discussed.

17 August 2022 in Biomolecules
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PLPeng-Chan Lin
Peng-Chan Lin
YTYi-Shan Tsai
Yi-Shan Tsai
YYYU-MIN YEH
YU-MIN YEH
MSMeng-Ru Shen
Meng-Ru Shen
To provide precision medicine for better cancer care, researchers must work on clinical patient data, such as electronic medical records, physiological measurements, biochemistry, computerized tomography scans, digital pathology, and the genetic landscape of cancer tissue. To interpret big biodata in cancer genomics, an operational flow based on artificial intelligence (AI) models and medical management platforms with high-performance computing must be set up for precision cancer genomics in clinical practice. To work in the fast-evolving fields of patient care, clinical diagnostics, and therapeutic services, clinicians must understand the fundamentals of the AI tool approach. Therefore, the present article covers the following four themes: (i) computational prediction of pathogenic variants of cancer susceptibility genes; (ii) AI model for mutational analysis; (iii) single-cell genomics and computational biology; (iv) text mining for identifying gene targets in cancer; and (v) the NVIDIA graphics processing units, DRAGEN field programmable gate arrays systems and AI medical cloud platforms in clinical next-generation sequencing laboratories. Based on AI medical platforms and visualization, large amounts of clinical biodata can be rapidly copied and understood using an AI pipeline. The use of innovative AI technologies can deliver more accurate and rapid cancer therapy targets.

26 June 2013 in Oncology Letters
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PLPeng-Chan Lin
Peng-Chan Lin
YLYih-Jyh Lin
Yih-Jyh Lin
CLChung-Ta Lee
Chung-Ta Lee
HLHsiao-Sheng Liu
Hsiao-Sheng Liu
JLJenq-Chang Lee
Jenq-Chang Lee
The development of colorectal cancer (CRC) is commonly accompanied by the overexpression of the cyclooxygenase‑2 (COX‑2) gene, with high levels being most common in early colorectal lesions. In the present study, we hypothesized that the expression of COX‑2 in normal mucosa affects the expression of COX‑2 in adjacent tumors. COX‑2 protein expression levels were determined in tumor tissues and the adjacent normal mucosa of 49 paired clinical CRC specimens using western blotting and immunohistochemistry (IHC) staining. The majority of specimens exhibited an extremely low level of COX‑2 expression in the tumor tissue and a markedly higher expression level in the adjacent normal tissue, however, high COX‑2 expression in the tumor was shown to correlate with a high recurrence rate and poor overall survival. Of the nine CRC cell lines, HT29 showed consistently higher levels of COX‑2 expression. Therefore, COX‑2 expression in the normal tissue adjacent to the tumor may be involved in the tumorigenesis of CRC. These observations are likely to be useful in determining the significance of COX‑2 expression in the tumorigenesis of CRC.

Verified
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PLPeng-Chan Lin
Peng-Chan Lin
HHHao-Yu Hsieh
Hao-Yu Hsieh
PCPo-Chen Chu
Po-Chen Chu
CCChing S. Chen
Ching S. Chen
Cancer stem cells (CSCs), or tumor-initiating cells, are a small subset of cancer cells with the capacity for self-renewal and differentiation, which have been shown to drive tumor initiation, progression, and metastasis in many types of cancer. Moreover, therapeutic regimens, such as cisplatin and radiation were reported to induce the enrichment of CSCs, thereby conferring chemoresistance on cancer cells. Therefore, therapeutic targeting of CSCs represents a clinical challenge that needs to be addressed to improve patient outcome. In this context, the effectiveness of pan or class-I histone deacetylase (HDAC) inhibitors in suppressing the CSC population is especially noteworthy in light of the new paradigm of combination therapy. Evidence suggests that this anti-CSC activity is associated with the ability of HDAC inhibitors to target multiple signaling pathways at different molecular levels. Beyond chromatin remodeling via histone acetylation, HDAC inhibitors can also block key signaling pathways pertinent to CSC maintenance. Especially noteworthy is the ability of different HDAC isoforms to regulate the protein stability and/or activity of a series of epithelial-mesenchymal transition (EMT)-inducing transcription factors, including HIF-1α, Stat3, Notch1, β-catenin, NF-κB, and c-Jun, each of which plays a critical role in regulating CSCs. From the translational perspective, these mechanistic links constitute a rationale to develop isoform-selective HDAC inhibitors as anti-CSC agents. Thus, this review aims to provide an overview on the roles of HDAC isoforms in maintaining CSC homeostasis via distinct signaling pathways independent of histone acetylation.

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BCBingSyuan Chung
BingSyuan Chung
ILI-Chuang Liao
I-Chuang Liao
PLPeng-Chan Lin
Peng-Chan Lin
SWSHANG-YIN WU
SHANG-YIN WU
JKJui-Wen Kang
Jui-Wen Kang
YYYU-MIN YEH
YU-MIN YEH
Programmed death-ligand 1 (PD-L1) is an immune checkpoint molecule that can regulate immune responses in the tumor microenvironment (TME); however, the clinical applications of PD-L1 in early-stage colorectal cancer (CRC) remain unclear. In this study, we aimed to investigate the relationship between PD-L1 expression and survival outcome and explore its relevant immune responses in CRC. PD-L1 expression was evaluated by immunohistochemical staining to determine the tumor proportion score and combined positive score (CPS) in a Taiwanese CRC cohort. The oncomine immune response research assay was conducted for immune gene expression analyses. CRC datasets from the TCGA database were reappraised for PD-L1-associated gene enrichment analyses using GSEA. The high expression of PD-L1 (CPS ≥ 5) was associated with longer recurrence-free survival (p = 0.031) and was an independent prognostic factor as revealed by multivariate analysis. High PD-L1 expression was related to six immune-related gene signatures, and CXCL9 is the most significant overexpressed gene in differential analyses. High CXCL9 expression correlated with increased infiltration levels of immune cells in the TME, including CD8+ T lymphocytes and M1 macrophages. These findings suggest that high PD-L1 expression is a prognostic factor of early-stage CRC, and CXCL9 may play a key role in regulating PD-L1 expression.

7 January 2023 in BMC Palliative Care
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JTJui-Hung Tsai
Jui-Hung Tsai
ILI-Ting Liu
I-Ting Liu
PSPei-Fang Su
Pei-Fang Su
YHYing-Tzu Huang
Ying-Tzu Huang
GCGe-Lin Chiu
Ge-Lin Chiu
PLPeng-Chan Lin
Peng-Chan Lin
Background: Limited efficacy has been observed when using opioids to treat neuropathic pain. Lidocaine patches reduce neuropathic pain in postherpetic neuralgia, but their benefits for cancer-related neuropathic pain remain unclear. This study aimed to investigate a treatment for cancer-related neuropathic pain. Methods: We conducted a prospective, open-label, single-arm study to assess the efficacy and safety of lidocaine transdermal patches in patients experiencing localized, superficial, neuropathic cancer pain. Terminal cancer patients already receiving opioid treatment participated in the 3-day study. The primary endpoint was pain intensity evaluated by the numerical rating scale (NRS). The secondary endpoints were the pain relief score and the quality of analgesic treatment. Results: The results showed a significant difference in the median NRS over 3 days (Kruskal–Wallis test, p < 0.0001). The median NRS pain intensity from Day 1 to Day 3 was 4.0 with 95% C.I. (3.3, 5.0), 3.0 (2.5, 3.5), and 2.6 (2.0, 3.0), respectively. The difference between the median NRS pain intensities of any 2 days was significant (Wilcoxon signed-rank test, p < 0.0001). The generalized estimating equation (GEE) estimation model showed significant differences between the NRS pain intensities on any 2 days. There was no significant difference in the pain relief score or the quality of analgesic treatment. Conclusions: In this study, the 5% lidocaine transdermal patch reduced the NRS pain intensity in neuropathic cancer patients already receiving opioid treatment. Treatment of localized and superficial neuropathic pain caused by cancer was well tolerated and effective.