Publications by authors named "Yingkun Xu"

Article Synopsis
  • CDC6 is crucial for starting DNA replication and has shown significant potential as a prognostic biomarker in cancer, especially as its expression patterns and clinical implications remain largely unstudied.
  • Using multi-omics data from The Cancer Genome Atlas, researchers found that CDC6 is notably upregulated in many cancers and correlates with poorer outcomes and important factors like tumor mutational burden and immune cell responses.
  • This study suggests that CDC6 could play a key role in immunotherapy, indicating its importance in regulating immune responses across various cancer types, warranting further research into its functions and clinical applications.
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High-precision displacement sensing has been widely used across both scientific research and industrial applications. The recent interests in developing micro-opto-electro-mechanical systems (MOEMS) have given rise to an excellent platform for miniaturized displacement sensors. Advancement in this field during past years is now yielding integrated high-precision sensors which show great potential in applications ranging from photoacoustic spectroscopy to high-precision positioning and automation.

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This research aims to identify the key fatty acid beta-oxidation (FAO) genes that are altered in kidney renal clear cell carcinoma (KIRC) and to analyze the role of these genes in KIRC. The Gene Expression Omnibus (GEO) and FAO datasets were used to identify these key genes. Wilcoxon rank sum test was used to assess the levels of acyl-CoA dehydrogenase medium chain (ACADM) between KIRC and non-cancer samples.

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Article Synopsis
  • Chemoresistance poses a significant hurdle in treating triple-negative breast cancer (TNBC), with the study focusing on the role of guanylate-binding protein 2 (GBP2) and its ability to activate autophagy in TNBC cells to improve sensitivity to paclitaxel (PTX).
  • The researchers created TNBC cell lines with high GBP2 expression and assessed its effects on cell growth, autophagy levels, and PTX sensitivity using various laboratory techniques.
  • Findings revealed that low GBP2 levels correlate with poor prognosis, while overexpression enhances autophagy and increases PTX sensitivity, suggesting that GBP2 could be an important therapeutic target for improving TNBC treatment outcomes.
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Article Synopsis
  • The study investigated the role of the USP family, specifically USP46, in tamoxifen resistance by comparing gene expressions and cellular responses between tamoxifen-sensitive and resistant breast cancer cell lines.
  • Results showed that higher levels of USP46 in resistant cells led to increased PTBP1 protein, promoting glycolysis and worsening tamoxifen resistance, while reducing USP46 made cells more sensitive to the treatment, suggesting that targeting USP46 could help in overcoming resistance.
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Unlabelled: Since the authors are not responding to the editor’s requests to fulfill the editorial requirement, therefore, the article has been withdrawn from the journal Current Cancer Drug Targets. Bentham Science apologizes to the readers of the journal for any inconvenience this may have caused. The Bentham Editorial Policy on Article Withdrawal can be found at https://benthamscience.

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Kidney renal clear cell carcinoma (KIRC) originates from proximal tubular cells and is the most common subtype of renal cell carcinoma. KIRC is characterized by changes in lipid metabolism, and obesity is a risk factor for it. C1q And TNF Related 1 (C1QTNF1), a novel adipokine and member of the C1q and TNF-related protein (CTRP) family, has been shown to affect the progression of various cancers.

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Purpose: To detect the expression of sphingosine kinase 1 (SPHK1) in clear cell renal cell carcinoma (ccRCC) and explore its biological role in the occurrence and development of ccRCC through regulation of fatty acid metabolism.

Methods: Using the Cancer Genome Atlas database, SPHK1 expression and its clinical significance were detected in clear cell renal cell carcinoma. Immunohistochemistry was performed to detect SPHK1 expression in RCC samples in our hospital.

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Article Synopsis
  • Breast cancer cells thrive in nutrient-poor environments and adapt to changing nutrient levels, making their metabolic responses critical to tumor growth and progression.
  • This study aimed to analyze the role of specific mRNAs in the starvation response of breast cancer cells, focusing on how starvation influences the cells’ ability to invade and migrate.
  • A new gene signature related to the starvation response was developed, which can accurately predict patient outcomes and may offer targets for future breast cancer therapies.
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Article Synopsis
  • - Angiogenesis-related lncRNAs (AR-lncRNAs) were studied for their role in breast cancer (BC) immunity and prognosis, leading to the creation of a risk model for predicting BC outcomes.
  • - Cluster analysis identified five patient groups based on AR-lncRNA expression, with one group showing better prognosis and higher immune activity.
  • - The gene LINC01614 stood out in the model, impacting cell migration, invasion, and tamoxifen sensitivity, suggesting it could be a promising therapeutic target for BC treatment.
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Objective: Clear cell renal cell carcinoma (ccRCC) is a malignant renal tumor that is highly prone to metastasis and recurrence. The exact pathogenesis of this cancer is still not well understood. This study aimed to identify novel hub genes in renal clear cell carcinoma and determine their diagnostic and prognostic value.

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The purpose of this study was to investigate the expression significance, predictive value, immunologic function, and biological role of transmembrane protein 158 (TMEM158) in the development of pan-cancer. To achieve this, we utilized data from multiple databases, including TCGA, GTEx, GEPIA, and TIMER, to collect gene transcriptome, patient prognosis, and tumor immune data. We evaluated the association of TMEM158 with patient prognosis, tumor mutational burden (TMB), and microsatellite instability (MSI) in pan-cancer samples.

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Purpose: The mitogen-activated protein kinase (MAPK) signaling pathway is often studied in oncology as the most easily mentioned signaling pathway. This study aims to establish a new prognostic risk model of MAPK pathway related molecules in kidney renal clear cell carcinoma (KIRC) based on genome and transcriptome analysis.

Methods: In our study, RNA-seq data were acquired from the KIRC dataset of The Cancer Genome Atlas (TCGA) database.

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Article Synopsis
  • Mitochondrial function plays a crucial role in cancer metabolism and growth, but the specific role of long noncoding RNAs (lncRNAs) tied to mitochondrial function in breast cancer has not been deeply explored.
  • This research aimed to analyze how these lncRNAs influence prognosis and their relationship with the immune microenvironment in breast cancer, using data from The Cancer Genome Atlas (TCGA) and the MitoMiner database.
  • An 8-lncRNA signature was developed, showing that patients in the high-risk group had significantly lower overall survival rates, and the risk score was established as an independent factor in predicting patient outcomes.
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Breast cancer (BC) is a lethal malignancy with a poor prognosis. Necroptosis is critical in the progression of cancer. However, the expression of genes involved in necroptosis in BC and their association with prognosis remain unclear.

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Background: To characterize the clinicopathological features and evaluate the neoadjuvant chemotherapy (NACT) efficacy of patients with human epidermal growth factor receptor 2 (HER2)-low breast cancer.

Methods: A total of 905 breast cancer patients who received 4 cycles of thrice-weekly standard NACT in the First Affiliated Hospital of Chongqing Medical University were retrospectively enrolled, including 685 cases with HER2-low expression and 220 cases with HER2-negative expression. Clinicopathological features were compared between patients with HER2-negative and HER2-low expression.

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Background: Never in Mitosis gene-A(NIMA)-related Kinase 2 (NEK2) is a critical player in themitotic processes. NEK2 is highly expressed in many kindsof human cancers and has been shown toparticipatein drug resistance, tumorigenesis, and tumor progression. However, the expression or function of NEK2 in clear cell renal cell carcinoma (ccRCC)hasnot yet been investigated.

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The occurrence of clear cell renal cell carcinoma (ccRCC) is related to changes in the transforming growth factor-β (TGF-β) signaling pathway. In this study, we adopted an integrated approach to identify and verify the effects of changes in this pathway on ccRCC and provide a guide for identifying new therapeutic targets. We performed transcriptome analysis of 539 ccRCC cases from The Cancer Genome Atlas (TCGA) and divided the samples into different TGF-β clusters according to unsupervised hierarchical clustering.

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Based on TCGA, GTEx, and TIMER databases and various bioinformatics analysis methods, the potential biological roles of cuprotosis-related genes in pancreatic cancer were deeply explored, and a predictive model for pancreatic cancer patients was constructed. We downloaded the RNA-Seq data and clinicopathological and predictive data of 179 pancreatic cancer tissues and 332 adjacent normal tissues from TCGA and GTEx databases. The differential expression of cuprotosis-related genes in pancreatic cancer tissue and adjacent normal tissue was analyzed, and the LASSO regression algorithm was used to construct a prediction model and verify the validity of the model prediction.

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CDCA3 is an essential regulator in cell mitosis and can regulate many physiological and pathological processes in the human body by stimulating certain proteins such as cell cycle regulatory proteins, transcription factors, and signal transduction molecules. Although several studies have shown that dysregulation of CDCA3 is a common phenomenon in human cancers, no systematic pan-cancer analysis has been performed. In this study, we comprehensively investigated the role of CDCA3 in 33 human cancer types by utilizing multiple cancer-related databases and bioinformatics analysis tools, including TCGA, GTEx, GEPIA, TIMER, STRING, Metascape, and Cytoscape.

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There is a need to improve diagnostic and therapeutic approaches to enhance the prognosis of breast cancer, the most common malignancy worldwide. Membrane lipid biosynthesis is a hot biological pathway in current cancer research. It is unclear whether membrane lipid biosynthesis is involved in the prognosis of BRCA.

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Adrenal cortical carcinoma (ACC) is a severe malignant tumor with low early diagnosis rates and high mortality. In this study, we used a variety of bioinformatic analyses to find potential prognostic markers and therapeutic targets for ACC. Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data sets were used to perform differential expressed analysis.

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We aimed to investigate the potential role of ERBB signaling pathway-related genes in kidney renal clear cell carcinoma (KIRC) and establish a new predictive risk model using various bioinformatics methods. We downloaded the KIRC dataset and clinicopathological information from The Cancer Genome Atlas database. Univariate Cox analysis was used to identify essential genes significantly associated with KIRC progression.

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