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1

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Chen, Shao-Hao ; Lin, Fei ; Zhu, Jun-Ming ; [et al.]

Elsevier BV ; 2021

In: Genomics Vol. 113, No. 1 ( 2021-01), p. 531-540

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In: Genomics, Elsevier BV, Vol. 113, No. 1 ( 2021-01), p. 531-540

Type of Medium: Online Resource

ISSN: 0888-7543

URL: Article

DOI: 10.1016/j.ygeno.2020.09.046

RVK:

XA 10000

Language: English

Publisher: Elsevier BV

Publication Date: 2021

detail.hit.zdb_id: 1468023-3

SSG: 12

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2

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Table1.docx

Cai, Hai ; Chen, Hang ; Huang, Qi ; [et al.]

Frontiers Media SA ; 2021

In: Pathology and Oncology Research Vol. 27 ( 2021-10-29)

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In: Pathology and Oncology Research, Frontiers Media SA, Vol. 27 ( 2021-10-29)

Abstract: Objective: To develop and validate ubiquitination-related molecular subtypes and a novel prognostic index using ubiquitination-related genes (URGs) for patients with bladder cancer (BCa). Materials and Methods: We downloaded the clinical data and transcriptome data of BCa from TCGA and GEO database. Consensus clustering analysis was conducted to identify ubiquitination-related molecular subtypes for BCa. Besides, we performed univariate and multivariate Cox regression analysis to develop a novel prognostic URGs-related index for BCa. We conducted internal and external verification in TCGA cohort and GEO cohort, respectively. Furthermore, the associations of ubiquitination-related molecular subtypes and prognostic index with tumor immune environment were also investigated. Results: A total of four ubiquitination-related molecular subtypes of BCa were finally identified. These four molecular subtypes had significantly different clinical characteristics, prognosis, PD-L1 expression level and tumor microenvironment. Besides, we developed a novel prognostic index using six URGs (including HLA-A, TMEM129, UBE2D1, UBE2N, UBE2T and USP5). The difference in OS between high and low-risk group was statistically significant in training cohort, testing cohort, and validating cohort. The area under ROC curve (AUC) for OS prediction was 0.736, 0.723, and 0.683 in training cohort, testing cohort, and validating cohort, respectively. Multivariate survival analysis showed that this index was an independent predictor for OS. This prognostic index was especially suitable for subtype 1 and 3, older, male, high grade, AJCC stage III-IV, stage N0, stage T3-4 BCa patients. Conclusions: This study identified a total of four ubiquitination-related molecular subtypes with significantly different tumor microenvironment, prognosis, clinical characteristics and PD-L1 expression level. Besides, a novel ubiquitination-related prognostic index for BCa patients was developed and successfully verified, which performed well in predicting prognosis of BCa.

Type of Medium: Online Resource

ISSN: 1532-2807

URL: Article

DOI: 10.3389/pore.2021.1609941

DOI: 10.3389/pore.2021.1609941.s001

Language: Unknown

Publisher: Frontiers Media SA

Publication Date: 2021

detail.hit.zdb_id: 2002501-4

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3

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Kinesin family member 18B regulates the proliferation and invasion of human prostate cancer cells

Wu, Yu-Peng ; Ke, Zhi-Bin ; Zheng, Wen-Cai ; [et al.]

Springer Science and Business Media LLC ; 2021

In: Cell Death & Disease Vol. 12, No. 4 ( 2021-03-22)

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In: Cell Death & Disease, Springer Science and Business Media LLC, Vol. 12, No. 4 ( 2021-03-22)

Abstract: Expression of kinesin family member 18B (KIF18B), an ATPase with key roles in cell division, is deregulated in many cancers, but its involvement in prostate cancer (PCa) is unclear. Here, we investigated the expression and function of KIF18B in human PCa specimens and cell lines using bioinformatics analyses, immunohistochemical and immunofluorescence microscopy, and RT-qPCR and western blot analyses. KIF18B was overexpressed in PCa specimens compared with paracancerous tissues and was associated with poorer disease-free survival. In vitro, KIF18B knockdown in PCa cell lines promoted cell proliferation, migration, and invasion, and inhibited cell apoptosis, while KIF18B overexpression had the opposite effects. In a mouse xenograft model, KIF18B overexpression accelerated and promoted the growth of PCa tumors. Bioinformatics analysis of control and KIF18B-overexpressing PCa cells showed that genes involved in the PI3K–AKT–mTOR signaling pathway were significantly enriched among the differentially expressed genes. Consistent with this observation, we found that KIF18B overexpression activates the PI3K–AKT–mTOR signaling pathway in PCa cells both in vitro and in vivo. Collectively, our results suggest that KIF18B plays a crucial role in PCa via activation of the PI3K–AKT–mTOR signaling pathway, and raise the possibility that KIF18B could have utility as a novel biomarker for PCa.

Type of Medium: Online Resource

ISSN: 2041-4889

URL: Article

DOI: 10.1038/s41419-021-03582-2

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2021

detail.hit.zdb_id: 2541626-1

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4

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ARPC1A correlates with poor prognosis in prostate cancer and is up-regulated by glutamine metabolism to promote tumor cell migration, invasion and cytoskeletal changes

Chen, Ye-Hui ; Chen, Hang ; Lin, Ting-Ting ; [et al.]

Springer Science and Business Media LLC ; 2023

In: Cell & Bioscience Vol. 13, No. 1 ( 2023-02-22)

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In: Cell & Bioscience, Springer Science and Business Media LLC, Vol. 13, No. 1 ( 2023-02-22)

Abstract: This study aimed to identify potential biomarkers for prostate cancer (PCa) progression and metastasis, and to discern their biological functions. Methods Bioinformatics methods were used to screen for hub genes. The expression level of key hub genes in PCa was determined and their prognostic significance was examined. A series of functional assays were performed to investigate the function of the highest-ranking hub gene. Results Actin related protein 2/3 complex subunit 1A (ARPC1A) was identified as the hub gene. ARPC1A was highly expressed in PCa tissues and cell lines, and was an independent prognostic factor for predicting biochemical recurrence after radical prostatectomy and overall survival of PCa patients. Knockdown of ARPC1A inhibited PCa cell migration, invasion and cytoskeleton formation, but had no impact on cell proliferation and cell cycle progression. In vivo, ARPC1A overexpression promoted lung metastasis of PCa, but had no efffect on tumor growth. Additionally, glutamine metabolism was identified as an upstream regulator of ARPC1A, and promoted migration, invasion and cytoskeletal changes of PCa cell through ARPC1A. Conclusion These findings suggested that ARPC1A, which correlates with poor prognosis in PCa, functions downstream of glutamine metabolism to regulate cytoskeletal changes, cellular migration and cellular invasion in this disease.

Type of Medium: Online Resource

ISSN: 2045-3701

URL: Article

DOI: 10.1186/s13578-023-00985-w

Language: English

Publisher: Springer Science and Business Media LLC

Publication Date: 2023

detail.hit.zdb_id: 2593367-X

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5

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Table1.docx

Ke, Zhi-Bin ; You, Qi ; Sun, Jiang-Bo ; [et al.]

Frontiers Media SA ; 2022

In: Frontiers in Cell and Developmental Biology Vol. 9 ( 2022-1-6)

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In: Frontiers in Cell and Developmental Biology, Frontiers Media SA, Vol. 9 ( 2022-1-6)

Abstract: Objective: To identify ferroptosis-related molecular clusters, and to develop and validate a ferroptosis-based molecular signature for predicting biochemical recurrence-free survival (BCRFS) and tumor immune microenvironment of prostate cancer (PCa). Materials and Methods: The clinical data and transcriptome data of PCa were downloaded from TCGA and GEO database. Ferroptosis-related genes (FRGs) were obtained from FerrDb database. We performed consensus clustering analysis to identify ferroptosis-related molecular subtypes for PCa. Univariate and multivariate Cox regression analysis were used to establish a ferroptosis-based signature for predicting BCRFS. Internal verification, external verification and subgroup survival analysis were then successfully performed. Results: There was a total of 40 differentially expressed FRGs in PCa. We then identified three ferroptosis-related molecular clusters of PCa, which have significantly different immune infiltrating cells, tumor immune microenvironment and PD-L1 expression level. More importantly, a novel ferroptosis-based signature for predicting BCRFS of PCa based on four FRGs (including ASNS, GPT2, NFE2L2, RRM2) was developed. Internal and external verifications were then successfully performed. Patients with high-risk score were associated with significant poor BCRFS compared with those with low-risk score in training cohort, testing cohort and validating cohort, respectively. The area under time-dependent Receiver Operating Characteristic (ROC) curve were 0.755, 0.705 and 0.726 in training cohort, testing cohort and validating cohort, respectively, indicating the great performance of this signature. Independent prognostic analysis indicated that this signature was an independent predictor for BCRFS of PCa. Subgroup analysis revealed that this signature was particularly suitable for younger or stage T III-IV or stage N0 or cluster 1-2 PCa patients. Patients with high-risk score have significantly different tumor immune microenvironment in comparison with those with low-risk score. The results of qRT-PCR successfully verified the mRNA expression levels of ASNS, GPT2, RRM2 and NFE2L2 in DU-145 and RWPE-1 cells while the results of IHC staining exactly verified the relative protein expression levels of ASNS, GPT2, RRM2 and NFE2L2 between PCa and BPH tissues. Conclusions: This study successfully identified three ferroptosis-related molecular clusters. Besides, we developed and validated a novel ferroptosis-based molecular signature, which performed well in predicting BCRFS and tumor immune microenvironment of PCa.

Type of Medium: Online Resource

ISSN: 2296-634X

URL: Article

DOI: 10.3389/fcell.2021.774625

DOI: 10.3389/fcell.2021.774625.s001

Language: Unknown

Publisher: Frontiers Media SA

Publication Date: 2022

detail.hit.zdb_id: 2737824-X

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6

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The prognostic value of homeobox A9 (HOXA9) methylation in solid tumors: a systematic review and meta-analysis

Cai, Hai ; Ke, Zhi-Bin ; Dong, Ru-Nan ; [et al.]

AME Publishing Company ; 2021

In: Translational Cancer Research Vol. 10, No. 10 ( 2021-10), p. 4347-4354

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In: Translational Cancer Research, AME Publishing Company, Vol. 10, No. 10 ( 2021-10), p. 4347-4354

Type of Medium: Online Resource

ISSN: 2218-676X , 2219-6803

URL: Journal

URL: Article

DOI: 10.21037/tcr

DOI: 10.21037/tcr-21-765

Language: Unknown

Publisher: AME Publishing Company

Publication Date: 2021

detail.hit.zdb_id: 2901601-0

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7

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Risk factors for the postoperative bladder neck contracture in patients with small-volume prostatic hyperplasia

Chen, Ye-Hui ; Li, Xiao-Dong ; Ke, Zhi-Bin ; [et al.]

Elsevier BV ; 2023

In: Asian Journal of Surgery Vol. 46, No. 1 ( 2023-01), p. 373-379

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In: Asian Journal of Surgery, Elsevier BV, Vol. 46, No. 1 ( 2023-01), p. 373-379

Type of Medium: Online Resource

ISSN: 1015-9584

URL: Article

DOI: 10.1016/j.asjsur.2022.04.076

Language: English

Publisher: Elsevier BV

Publication Date: 2023

detail.hit.zdb_id: 2031317-2

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8

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Development and Validation of Hub Genes for Adrenal Aldosterone-Producing Adenoma by Integrated Bioinformatics Analysis

Cai, Hai ; Chen, Shao-Ming ; Ke, Zhi-Bin ; [et al.]

Informa UK Limited ; 2021

In: International Journal of General Medicine Vol. Volume 14 ( 2021-12), p. 10003-10013

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In: International Journal of General Medicine, Informa UK Limited, Vol. Volume 14 ( 2021-12), p. 10003-10013

Type of Medium: Online Resource

ISSN: 1178-7074

URL: Article

DOI: 10.2147/IJGM.S330956

Language: English

Publisher: Informa UK Limited

Publication Date: 2021

detail.hit.zdb_id: 2452220-X

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9

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Mesenchymal Stem Cell-Derived Exosomes Induced by IL-1β Attenuate Urethral Stricture Through Let-7c/PAK1/NF-κB-Regulated Macrophage M2 Polarization

Chen, Ye-Hui ; Dong, Ru-Nan ; Hou, Jian ; [et al.]

Informa UK Limited ; 2021

In: Journal of Inflammation Research Vol. Volume 14 ( 2021-07), p. 3217-3229

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In: Journal of Inflammation Research, Informa UK Limited, Vol. Volume 14 ( 2021-07), p. 3217-3229

Type of Medium: Online Resource

ISSN: 1178-7031

URL: Article

DOI: 10.2147/JIR.S308405

Language: English

Publisher: Informa UK Limited

Publication Date: 2021

detail.hit.zdb_id: 2494878-0

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