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

Si, Lu; Zhao, Rongjie; Shen, Jie; Shi, Jingjing; Xu, Chenke; Chen, Jiali; Lin, Renbin; Han, Weidong; Luo, Dingcun

doi:10.3892/ol.2019.11188

Cited by 4 publications

(2 citation statements)

References 39 publications

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“…Integration of the microarray data. To identify significant and reliable DEGs, the Robust Rank Aggregation (RRA) package (19) was used. The RRA package assumes that each gene is randomly ordered within each dataset (20).…”

Section: Methodsmentioning

confidence: 99%

Elevated mRNA expression levels of DLGAP5 are associated with poor prognosis in breast cancer

Dong

Zhang

et al. 2020

Oncol Lett

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Breast cancer is the most commonly diagnosed type of cancer and one of the leading causes of cancer-associated mortality in women. In addition, the underlying molecular mechanisms of the occurrence and development of breast cancer requires further investigation. In the present study, bioinformatics analysis was performed to identify differentially expressed genes (DEGs) between breast cancer and normal breast tissues to investigate the underlying molecular mechanisms. In addition, reverse transcription-quantitative PCR and immunohistochemistry (IHC) were performed to investigate the protein and mRNA expression levels of a specific DEG, discs large-associated protein 5 (DLGAP5). A Cell Counting Kit-8 assay and flow cytometry analysis were used to assess the effects of DLGAP5 on cell proliferation. In total, 85 DEGs were identified in the three Gene Expression Omnibus datasets, including 40 upregulated and 45 downregulated genes. In addition, 30 hub genes were identified following the construction of a protein-protein interaction network, and 28 of the 30 hub genes were established to be indicators of breast cancer prognosis. DLGAP5 was highly expressed in breast cancer specimens, and its expression levels were correlated with clinical stage and lymph node status. In addition, downregulation of DLGAP5 repressed the proliferation of breast cancer MDA-MB-231 cells and induced cell cycle arrest. Additionally, DLGAP5 was identified to be localized in the mitochondria, and the presence of a conserved microtubule-associated proteins 1A/1B light chain 3B-interacting region motif suggested that DLGAP5 may serve a role in mitophagy. The present results demonstrated an association between DLGAP5 expression levels and the clinicopathological characteristics of patients with breast cancer using IHC. In conclusion, DLGAP5 may be a promising target in the diagnosis and treatment of breast cancer.

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Section: Methodsmentioning

confidence: 99%

Elevated mRNA expression levels of DLGAP5 are associated with poor prognosis in breast cancer

Dong

Zhang

et al. 2020

Oncol Lett

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“…The stiffness and resistance of stromal ECM are dependent on the relative composition of ECM protein types (3,13,14). Our team and others have published that certain ECM proteins, such as fibronectin and different types of collagen and laminin, can favor the cancer metastatic process (15)(16)(17)(18).…”

Section: Introductionmentioning

confidence: 99%

Molecular and Metabolic Reprogramming: Pulling the Strings Toward Tumor Metastasis

et al. 2021

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Metastasis is a major hurdle to the efficient treatment of cancer, accounting for the great majority of cancer-related deaths. Although several studies have disclosed the detailed mechanisms underlying primary tumor formation, the emergence of metastatic disease remains poorly understood. This multistep process encompasses the dissemination of cancer cells to distant organs, followed by their adaptation to foreign microenvironments and establishment in secondary tumors. During the last decades, it was discovered that these events may be favored by particular metabolic patterns, which are dependent on reprogrammed signaling pathways in cancer cells while they acquire metastatic traits. In this review, we present current knowledge of molecular mechanisms that coordinate the crosstalk between metastatic signaling and cellular metabolism. The recent findings involving the contribution of crucial metabolic pathways involved in the bioenergetics and biosynthesis control in metastatic cells are summarized. Finally, we highlight new promising metabolism-based therapeutic strategies as a putative way of impairing metastasis.

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A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomas

Monabbati,

Khalighi,

et al. 2024

European Journal of Cancer

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

Cited by 4 publications

References 39 publications

Elevated mRNA expression levels of DLGAP5 are associated with poor prognosis in breast cancer

Elevated mRNA expression levels of DLGAP5 are associated with poor prognosis in breast cancer

Molecular and Metabolic Reprogramming: Pulling the Strings Toward Tumor Metastasis

A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomas

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