<i>ANGPTL2</i> expression in gastric cancer tissues and cells and its biological behavior

Sheng, Weizhong; Chen, Yu‐Sheng; Tu, Caixia; He, Juan; Zhang, Bo; Gao, Weidong

doi:10.3748/wjg.v22.i47.10364

Cited by 12 publications

(7 citation statements)

References 43 publications

(26 reference statements)

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“…ANGPTL2 expression has been correlated with the frequency of carcinogenesis in chemically-induced skin squamous-cell carcinoma of mice [20]. Furthermore, ANGPTL2 has been shown to promote the genesis and development of pulmonary cancer cells [14] as well as gastric cancer by accelerating the incidence and progression of disease [18]. All these studies agree with our finding.…”

Section: Discussionsupporting

confidence: 90%

“…ANGPTL2 is abundantly secreted by adipose tissue. It correlated to the degree of adiposity and inflammation [18]. In addition, abnormal expression of ANGPTL2 in various malignant tumors suggested the involvement of ANGPTL2 in cancer cell proliferation, metastasis and invasion [15, 17, 20, 25, 26].…”

Section: Discussionmentioning

confidence: 99%

“…Research evidence suggested that serum level of ANGPTl2 correlated with the degree of adiposity, insulin resistance, and inflammation [14]. More interestingly, recent studies have reported high expression of ANGPTL2 in various malignant tumors including; non-small cell lung cancer [15, 16], colorectal cancer [17], prostate cancer [18], and gastric cancer [19]. These studies suggested that ANGPTL2 enhanced likely proliferation, metastasis, and invasion in these tumors.…”

Section: Introductionmentioning

confidence: 99%

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Expression of ANGPTL2 and its impact on papillary thyroid cancer

et al. 2019

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Background Although the most thyroid carcinoma patients have good prognosis, around 20% of papillary thyroid carcinoma (PTC) patients have a high rate of metastasis and recurrence after routine treatment, which causes high lethality with these patients. Tumor proliferation, metastasis, and invasion are important predictors of PTC invasiveness and are key factors in cancer-related death. Angiopoietin-like 2 (ANGPTL2), a secreted protein which belongs to the angiopoietin (ANGPTL) family, was reported to be involved in the regulation of several different type of cancer cell proliferation and metastasis. However, whether ANGPTL2 plays a role in the progression of PTC, particularly in metastasis and recurrence of PTC, remains unclear. Hence, the purpose of this study was to evaluate the level of ANGPTL2 in PTC and normal thyroid, as well as para-cancerous tissue. Furthermore, the impact of ANGPTL2 on PTC cell proliferation, metastasis, recurrence and invasion was assessed to investigate the possibility whether ANGPTL2 may become a novel target for PTC therapy and cancer prognosis. Materials and methods The level of ANGPTL2 in PTC and para-cancerous tissue was assessed by immunohistochemistry. The biological effect of ANGPTL2 on thyroid cancer cell proliferation and metastasis was investigated by the Cell Counting Kit-8 (CCK8) assay, cell scratch test, and transwell assay. Correlations of ANGPTL2 expression levels with proliferation, migration, and metastasis of thyroid cancer were assessed with the TCGA data set and analyzed by gene set enrichment analysis. Receiver operating characteristic analysis was used to evaluate the utility of ANGPTL2 as a biomarker for prediction of thyroid cancer. Survival analysis was performed using the thyroid cancer database in K–M Plotter to detect correlations between survival time and ANGPTL2 levels. Results Current study revealed that: (1) ANGPTL2 was highly expressed in thyroid cancer in comparison with adjacent normal thyroid tissue; (2) ANGPTL2 expression was increased with thyroid tumor progression; (3) ANGPTL2 increased proliferation of thyroid cancer cells; (4) ANGPTL2 promoted migration and invasion of thyroid cancer cells; (5) high level of ANGPTL2 in thyroid cancer patients were significantly associated with a poor prognosis. The patients showed a higher metastasis and recurrence rate. Conclusion ANGPTL2 promoted and enhanced proliferation, metastasis, and invasion of thyroid cancer cells. ANGPTL2 may be considered as a potential biomarker for diagnosis and prognosis of thyroid cancer patients. Further evaluation needs to be done to analyze the possibility of taking ANGPTL2 as a prognostic marker and therapeutic target for papillary thyroid cancer. Electronic supplementary material The online version of this article (10.1186/s12935-019-0908-9) contains supplementary material, which is available to authorized users.

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Expression of ANGPTL2 and its impact on papillary thyroid cancer

et al. 2019

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“…Likewise EC, the serum levels ANGPTL2 in gastric cancer patients were higher than those of healthy controls [ 99 ]. Analogue results derived from another study, where ANGPTL2 knockdown inhibited gastric cell proliferation, invasion and migration [ 100 ]. On the other hand, ANGPTL2 was overexpressed in gastric cancer tissues and a further upregulation was associated with tumor progression, early recurrence and poor prognosis [ 101 ].…”

Section: Angptl Proteins In Inflammation and Cancersupporting

confidence: 54%

Angiopoietin-Like Proteins in Angiogenesis, Inflammation and Cancer

Carbone

Piro

Merz

et al. 2018

IJMS

159

174

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Altered expression of secreted factors by tumor cells or cells of the tumor microenvironment is a key event in cancer development and progression. In the last decade, emerging evidences supported the autocrine and paracrine activity of the members of the Angiopoietin-like (ANGPTL) protein family in angiogenesis, inflammation and in the regulation of different steps of carcinogenesis and metastasis development. Thus, ANGPTL proteins become attractive either as prognostic or predictive biomarkers, or as novel target for cancer treatment. Here, we outline the current knowledge about the functions of the ANGPTL proteins in angiogenesis, cancer progression and metastasis. Moreover, we discuss the most recent evidences sustaining their role as prognostic or predictive biomarkers for cancer therapy. Although the role of ANGPTL proteins in cancer has not been fully elucidated, increasing evidence suggest their key effects in the proliferative and invasive properties of cancer cells. Moreover, given the common overexpression of ANGPTL proteins in several aggressive solid tumors, and their role in tumor cells and cells of the tumor microenvironment, the field of research about ANGPTL proteins network may highlight new potential targets for the development of future therapeutic strategies.

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“…AKAP12 is usually inactivated in patients with GC and several other types of cancer, serves a role in regulating cytokinesis progression and functions as a tumor suppressor (45). The expression of ANGPTL2 is associated with GC progression, and the overexpression of ANGPTL2 at both the invasive margin and tumor center is an independent marker of prognosis in patients with GC (46,47). Elevated expression of cytoplasmic ANGPTL2 has been associated with invasion, metastasis and unfavorable survival in patients with GC, and thus ANGPTL2 may be used as a promising indicator for predicting postoperative recurrence of GC (48).…”

Section: Discussionmentioning

confidence: 99%

A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer

Jiang

et al. 2019

Mol Med Report

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Gastric cancer (GC) ranks fifth in terms of incidence and third in terms of tumor mortality worldwide. The present study was designed to construct a Support Vector Machine (SVM) classifier and risk score system for GC. The GSE62254 (training set) and GSE26253 (validation set 2) datasets were downloaded from the Gene Expression Omnibus database. Furthermore, the gene expression profile of GC (validation set 1) was obtained from The Cancer Genome Atlas database. Differentially expressed genes (DEGs) between recurrent and non-recurrent samples were determined using the limma package. The feature genes were selected using the Caret package, and an SVM classifier was built using the e1071 package. Using the penalized package, the optimal predictive genes for constructing a risk score system were screened. Finally, stratification analysis of clinical factors and pathway enrichment analysis were performed using Gene Set Enrichment Analysis. A total of 239 DEGs were identified in GSE62254, among which 114 DEGs were significantly associated with both recurrence-free survival and overall survival. Subsequently, 21 feature genes were screened from the 114 DEGs, and an SVM classifier was built. A risk score system for survival prediction was constructed, following the selection of 10 optimal genes, including A-kinase anchoring protein 12, angiopoietin-like protein 1, cysteine-rich sequence 1, myeloid/lymphoid or mixed-lineage leukemia, translocated to chromosome 11, neuron navigator 3, neurobeachin, nephroblastoma overexpressed, pleiotrophin, tumor suppressor candidate 3 and zinc finger and SCAN domain containing 18. The stratification analysis revealed that pathological stage was an independent prognostic clinical factor in the high-risk group. Additionally, eight significant pathways were associated with the 10-gene signature. The SVM classifier and risk score system may be applied for classifying and predicting the prognosis of patients with GC, respectively.

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ANGPTL2 expression in gastric cancer tissues and cells and its biological behavior

Cited by 12 publications

References 43 publications

Expression of ANGPTL2 and its impact on papillary thyroid cancer

Expression of ANGPTL2 and its impact on papillary thyroid cancer

Angiopoietin-Like Proteins in Angiogenesis, Inflammation and Cancer

A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer

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