Periostin overexpression is associated with worse prognosis in nasopharyngeal carcinoma from endemic area: a cohort study

Wei, Yu‐Ching; Yang, Sheau-Fang; Chang, Shih‐Lun; Chen, Tzu‐Ju; Lee, Sung‐Wei; Chen, Hung-Sung; Lin, Li‐Ching; Li, Chien‐Feng

doi:10.2147/ott.s163626

Cited by 7 publications

(6 citation statements)

References 33 publications

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“…After applying our methodology, we obtain a signature composed of just one gene, MUC4, differentially expressed to separate tumor and healthy tissue. This is consistent with studies that point out MUC4 as a cancer biomarker [ 103 , 104 ]. Overall, the signature identified has a global accuracy of 1.0, with 1.0 MCC.…”

Section: Table A1supporting

confidence: 93%

Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification

Lopez-Rincon

Mendoza‐Maldonado

Martínez‐Archundia

et al. 2020

Cancers

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Circulating microRNAs (miRNA) are small noncoding RNA molecules that can be detected in bodily fluids without the need for major invasive procedures on patients. miRNAs have shown great promise as biomarkers for tumors to both assess their presence and to predict their type and subtype. Recently, thanks to the availability of miRNAs datasets, machine learning techniques have been successfully applied to tumor classification. The results, however, are difficult to assess and interpret by medical experts because the algorithms exploit information from thousands of miRNAs. In this work, we propose a novel technique that aims at reducing the necessary information to the smallest possible set of circulating miRNAs. The dimensionality reduction achieved reflects a very important first step in a potential, clinically actionable, circulating miRNA-based precision medicine pipeline. While it is currently under discussion whether this first step can be taken, we demonstrate here that it is possible to perform classification tasks by exploiting a recursive feature elimination procedure that integrates a heterogeneous ensemble of high-quality, state-of-the-art classifiers on circulating miRNAs. Heterogeneous ensembles can compensate inherent biases of classifiers by using different classification algorithms. Selecting features then further eliminates biases emerging from using data from different studies or batches, yielding more robust and reliable outcomes. The proposed approach is first tested on a tumor classification problem in order to separate 10 different types of cancer, with samples collected over 10 different clinical trials, and later is assessed on a cancer subtype classification task, with the aim to distinguish triple negative breast cancer from other subtypes of breast cancer. Overall, the presented methodology proves to be effective and compares favorably to other state-of-the-art feature selection methods.

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Section: Table A1supporting

confidence: 93%

Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification

Lopez-Rincon

Mendoza‐Maldonado

Martínez‐Archundia

et al. 2020

Cancers

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“…Although there are no reports of POSTN overexpression in hCh-1, our study is the first to suggest that genes related to cadherin binding are up-regulated in cells expressing POSTN. Calcium ion binding has also been recognized as a player in cell adhesion in conjunction with POSTN overexpression (46). Apart from its role in cell adhesion, POSTN has also been implicated in structural molecule activity (46).…”

Section: Discussionmentioning

confidence: 99%

“…Calcium ion binding has also been recognized as a player in cell adhesion in conjunction with POSTN overexpression (46). Apart from its role in cell adhesion, POSTN has also been implicated in structural molecule activity (46). In an attempt to dissect out the impact of hPOSTN-001 on global gene expression profiles, we compared the hPOSTN-001 cells and vehicle cells, because the former had significantly higher expression of isoform 1.…”

Section: Discussionmentioning

confidence: 99%

Distinct expression pattern of periostin splice variants in chondrocytes and ligament progenitor cells

et al. 2019

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Periostin (POSTN), a secretory matricellular matrix protein, plays a multitude of biologic functions. Various splice variants of POSTN have been described; however, their expression pattern and functional implications are not completely understood. This study was undertaken to decipher the differential expression pattern of POSTN and its splice variants in various tissues and cell types. We show that POSTN was more highly expressed in anterior cruciate ligament (ACL) remnants compared with articular cartilage at the cellular and tissue level. Isoforms 1 and 8 were highly expressed only in articular chondrocytes, suggesting their splice‐specific regulation in chondrocytes. To discern the role of total POSTN and full‐length human POSTN isoform 1 (hPOSTN‐001), we stably transfected human chondrosarcoma 1 (hCh‐1) cell line with hPOSTN‐001 using a pcDNA3.1–hPOSTN‐001 construct. RNA‐sequencing analysis of hCh‐1 cells identified differentially expressed genes with a known role in chondrocyte function and osteoarthritis. Similar expression of a subset of candidate genes was revealed in ACL progenitor cells and chondrocytes as well as in ACL progenitor cells in which POSTN activity was altered by overexpression and by small interfering RNA gene knockdown. Cells expressing total POSTN, not isoform 1, exhibited increased cell adhesion potential. These findings suggest an important role for POSTN in the knee.—Cai, L., Brophy, R. H., Tycksen, E. D., Duan, X., Nunley, R. M., Rai, M. F. Distinct expression pattern of periostin splice variants in chondrocytes and ligament progenitor cells. FASEB J. 33, 8386–8405 (2019). http://www.fasebj.org

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“…Nasopharyngeal carcinoma (NPC) is a common malignant head and neck tumor in southern China, North Africa and Southeast Asia,1–3 and the incidence rate of NPC is up to 0.2% 4,5. The etiology of NPC development and progression may be closely related to geographic areas, genetic factors, environmental factors and Epstein–Barr virus infection 6,7.…”

Section: Introductionmentioning

confidence: 99%

<p>Loss of ARID1A promotes proliferation, migration and invasion via the Akt signaling pathway in NPC</p>

Yang¹,

Wang²,

Yang

et al. 2019

CMAR

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Background: AT-rich interactive domain-containing protein 1A (ARID1A) is a member of the switch/sucrose nonfermentable chromatin remodeling complex, which has been observed to be mutated in various tumors. The loss of ARID1A is reported to be frequently associated with PI3K/Akt pathway activation. Objective: The roles of ARID1A in nasopharyngeal carcinoma (NPC) have not been reported until now. The aim of this research was to explore the clinical significance and potential mechanism of ARID1A in NPC development and progression. Methods: ARID1A expression levels were investigated in human NPC tissues and cell lines. The effects of ARID1A knockdown on nasopharyngeal cancer cell proliferation, migration and invasion were evaluated in vitro using CCK8, wound healing, transwell and flow cytometry assays. The expression of relevant proteins was evaluated by Western blot assays. Results: In this study, ARID1A was significantly downregulated in NPC tissues and cells. Furthermore, low ARID1A expression was significantly associated with aggressive clinicopathological characteristics and poor survival in NPC patients. Depletion of endogenous ARID1A by siRNA promoted proliferation, migration and invasion in CNE1 and HNE1 cells. Additionally, ARID1A knockdown increased the phosphorylation of Akt in NPC cells. High levels of p-Akt were also observed in NPC biopsies and correlated with ARID1A downregulation. These results imply that the loss of ARID1A could activate Akt signaling. In addition, MK-2206 (a highly selective inhibitor of Akt) partially suppressed NPC cell proliferation, migration and invasion, which were induced by ARID1A knockdown. Conclusion: Our findings indicate that ARID1A plays an essential role in modulating the Akt pathway, functions as a tumor suppressor in NPC and may be a potential target for NPC treatment.

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Periostin overexpression is associated with worse prognosis in nasopharyngeal carcinoma from endemic area: a cohort study

Cited by 7 publications

References 33 publications

Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification

Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification

Distinct expression pattern of periostin splice variants in chondrocytes and ligament progenitor cells

<p>Loss of ARID1A promotes proliferation, migration and invasion via the Akt signaling pathway in NPC</p>

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