TBX1 Functions as a Tumor Suppressor in Thyroid Cancer Through Inhibiting the Activities of the PI3K/AKT and MAPK/ERK Pathways

Wang, Na; Li, Yiqi; Wei, Jing; Pu, Jun; Liu, Rui; Yang, Qi; Guan, Haixia; Shi, Bingyin; Hou, Peng; Ji, Meiju

doi:10.1089/thy.2018.0312

Cited by 44 publications

(39 citation statements)

References 44 publications

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“…Aggressive variants of thyroid cancers tend to express more MMP-2 (10). Thyroid cancer cell lines - BCPAP (poorly differentiated thyroid cancer), K1 (papillary thyroid cancer), CGTH-W-1 (follicular thyroid cancer with metastasis to sternum) and FTC133 (follicular thyroid cancer) also express MMP-2 (19, 30). Anaplastic thyroid cancer cell line SW 579 also express MMP2 (31).…”

Section: Discussionmentioning

confidence: 99%

Chlorotoxin Conjugated with Saporin Reduces Viability of ML-1 Thyroid Cancer Cells In Vitro

Rizvanovic

et al. 2019

Preprint

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Section: Discussionmentioning

confidence: 99%

Chlorotoxin Conjugated with Saporin Reduces Viability of ML-1 Thyroid Cancer Cells In Vitro

Rizvanovic

et al. 2019

Preprint

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“…Compared with the results from the Venn diagram, all genes were included in RRA result. These iDEGs were predominantly enriched in the pathways 'PI3K-Akt signaling pathway', 'focal adhesion', 'ECM-receptor interaction' and the 'calcium signaling pathway' (24)(25)(26). A total of 7 hub genes were identified from the PPI network, which was composed of 493 iDEGs.…”

Section: Discussionmentioning

confidence: 99%

Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer

Zhao

Shen

et al. 2019

Oncol Lett

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Thyroid cancer (TC) is one of the most common types of malignancy of the endocrine-system. At present, there is a lack of effective methods to predict neck lymph node metastasis (LNM) in TC. The present study compared the expression profiles from The Cancer Genome Atlas between N1M0 and N0M0 subgroups in each T1-4 stages TC in order to identify the four groups of TC LNM-associated differentially expressed genes (DEGs). Subsequently, DEGs were combined to obtain a total of 493 integrated DEGs by using the method of Robust Rank Aggregation. Furthermore, the underlying mechanisms of LNM were investigated. The results from Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses demonstrated that the identified DEGs may promote LNM via numerous pathways, including extracellular matrix-receptor interaction, PI3K-AKT signaling pathway and focal adhesion. Following construction of a protein-protein interaction network, the significance score for each gene was calculated and seven hub genes were screened, including interleukin 6, actinin α2, collagen type I α 1 chain, actin α1, calbindin 2, thrombospondin 1 and parathyroid hormone. These genes were predicted to serve crucial roles in TC with LNM. The results from the present study could therefore improve the understanding of LNM in TC. In addition, the seven DEGs identified may be considered as potential novel targets for the development of biomarkers that could be used in the diagnosis and therapy of TC.

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“…TBX1 encoded a T-box transcription factor and extinction of TBX1 expression in the third pharyngeal pouch was a prerequisite for thymus organogenesis [33]. In addition, it played a potential role as a tumor suppressor in thyroid cancer [34]. ADAMTSL4 was immune-related biomarker for primary glioblastoma multiforme [35].…”

Section: Among the 19 Genes Involved In Building The Ppis Network Romentioning

confidence: 99%

Bioinformatics analysis of prognostic value genes in colorectal cancer microenvironment

Yue¹,

Zhu²,

Wang³

et al. 2019

Preprint

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Colorectal cancer (CRC) is one of the most deadly gastrointestinal malignancies. The openness of the Cancer Genome Atlas (TCGA) allows us to perform correlation analysis between large-scale transcriptome data and overall survival (OS) of multiple malignancies. Previous literature reports that the infiltration of immune cells and stromal cells in the tumor microenvironment (TME) significantly associate with the prognosis of cancers. Based on the ESTIMATE algorithm, the immune and stromal components in TME can be quantified by immune and stromal scores. To determine the effects of

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TBX1 Functions as a Tumor Suppressor in Thyroid Cancer Through Inhibiting the Activities of the PI3K/AKT and MAPK/ERK Pathways

Cited by 44 publications

References 44 publications

Chlorotoxin Conjugated with Saporin Reduces Viability of ML-1 Thyroid Cancer Cells In Vitro

Chlorotoxin Conjugated with Saporin Reduces Viability of ML-1 Thyroid Cancer Cells In Vitro

Integrated bioinformatics analysis to screen hub genes in the lymph node metastasis of thyroid cancer

Bioinformatics analysis of prognostic value genes in colorectal cancer microenvironment

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