Publications by authors named "Shenghong Shi"

() and microRNA (miRNA) play a crucial role in breast cancer (BC), but the molecular mechanism is vague. Evidence showed that can activate (). Clinical indications of eighty BC patients were collected and the expression was detected using real-time quantitative PCR.

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Article Synopsis
  • - The study explores the relationship between cuproptosis—a type of programmed cell death—and tumor immunity in triple-negative breast cancer (TNBC) to predict patient prognosis.
  • - Researchers identified differentially expressed miRNAs and genes related to cuproptosis by comparing patients with TNBC to healthy individuals, using advanced statistical methods to create risk models for patient survival prediction.
  • - Findings highlighted five prognostic miRNAs and three biomarkers linked to TNBC, along with significant differences in immune cell infiltration between low- and high-risk patient groups, suggesting a complex role of cuproptosis in tumor biology and immunity.
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Background: Breast cancer (BC) is a heterogeneous malignant tumor that threatens the health of women worldwide. Hsa_circRNA_0000518 (circ_0000518) has been revealed to be upregulated in BC tissues. However, the role and mechanism of circ_0000518 in BC are indistinct.

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Background: Breast tumor is a common cancer in women all over the world. Long noncoding RNA (lncRNA) provides a significant and new perspective on understanding biomarkers as well as on the potential prognostic regulation of breast cancer. Its transcription, in turn, serves as a regulator in diagnosing breast cancer and preventing risk of recurrence.

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The function of long noncoding RNAs (lncRNA) in breast cancer metastasis remains largely unknown. In this work, the role of HOXC-AS3 in breast cancer progression was investigated. By using Cancer Genome Atlas (TCGA) Database, we investigated the expression of HOXC-AS3 in breast cancer and explored the association between HOXC-AS3 expression and prognosis.

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Percutaneous transluminal angioplasty (PTA) is the most common therapy used to treat dialysis patients with an occluded arteriovenous fistula (AVF) or arteriovenous graft (AVG). AVF or AVG hemostasis after PTA is time consuming, and it may be complicated with acute thrombosis of the AVF or AVG and re-bleeding from the puncture site. In this study, we prospectively studied 145 hemodialysis patients with occluded AVF or AVG using a modified purse-string suture with short tubing tourniquet technique for hemostasis following PTA, during which we used heparin and urokinase infusion.

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Long non-coding RNAs (lncRNAs) are primary regulators of cancer development via their involvement in almost every aspect of cell biology. Recent studies have indicated that lncRNAs serve pivotal roles in breast cancer (BC) progression; however, to the best of our knowledge, the role of the lncRNA BRAF-regulated lncRNA 1 (BANCR) in BC has not yet been elucidated. The present study revealed that BANCR was overexpressed in BC cell lines and tissues, and could promote the clinical progression of disease, including increases in tumor size, lymph node metastasis and Tumor-Node-Metastasis stage.

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The objective of the present study was to identify altered pathways in breast cancer based on the individualized pathway aberrance score (iPAS) method combined with the normal reference (nRef). There were 4 steps to identify altered pathways using the iPAS method: Data preprocessing conducted by the robust multi-array average (RMA) algorithm; gene-level statistics based on average ; pathway-level statistics according to iPAS; and a significance test dependent on 1 sample Wilcoxon test. The altered pathways were validated by calculating the changed percentage of each pathway in tumor samples and comparing them with pathways from differentially expressed genes (DEGs).

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Background: MEG3, a lncRNA, has been verified in several tumors to function as tumor suppressors including breast cancer development and progression, however, the expression pattern and underlying mechanisms of MEG3 involved in breast cancer progression is still need to be further explored.

Methods: The expression of MEG3 was confirmed in 90 cases of breast cancer tissues compared to adjacent normal tissues by quantitative real-time polymerase chain reaction (qRT-PCR) analysis. The association between clinicopathological factors and MEG3 expression was evaluated by chi-square test.

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