High Levels of Nucleolar Spindle-Associated Protein and Reduced Levels of BRCA1 Expression Predict Poor Prognosis in Triple-Negative Breast Cancer. by Li Chen, Liu Yang, Feng Qiao, Xin Hu, Shan Li, Ling Yao, Xue-Li Yang, Zhi-Ming Shao

“…Nucleolar spindle-associated protein (NuSAP1) is an important mitosis-related protein, and aberrant NuSAP1 expression is associated with abnormal spindles and mitosis. …”
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Nucleolar and spindle associated protein 1 enhances chemoresistance through DNA damage repair pathway in chronic lymphocytic leukemia by binding with RAD51 by Yang Han, Xinting Hu, Xiaoya Yun, Jiarui Liu, Juan Yang, Zheng Tian, Xin Zhang, Ya Zhang, Xin Wang

“…Abstract Nucleolar and spindle-associated protein 1 (NUSAP1) is an essential regulator of mitotic progression, spindle assembly, and chromosome attachment. …”
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Bioinformatic Analysis of Potential Key Genes in Castration-resistant Prostate Cancer Development by DONG Jingting, HENG Li, KANG Shaosan, LIU Jian, TIAN Zhichong, ZHANG Liguo, ZHANG Jincun, LI Zhiguo, SHEN Hong, CAO Fenghong

“…PPI network screening revealed that there were 15 potential key genes, among which CDC20, MAD2L1 and NUSAP1 expressed differentially in CRPC patients: those with highly expressed CDC20, MAD2L1 and NUSAP1 had statistically lower overall survival rate and disease-free survival rate than did those with low expressed CDC20, MAD2L1 and NUSAP1 (P<0.05) . …”
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Mitosis is a source of potential markers for screening and survival and therapeutic targets in cervical cancer. by Ana María Espinosa, Ana Alfaro, Edgar Roman-Basaure, Mariano Guardado-Estrada, Ícela Palma, Cyntia Serralde, Ingrid Medina, Eligia Juárez, Miriam Bermúdez, Edna Márquez, Manuel Borges-Ibáñez, Sergio Muñoz-Cortez, Avissai Alcántara-Vázquez, Patricia Alonso, José Curiel-Valdez, Susana Kofman, Nicolas Villegas, Jaime Berumen

“…CCNB2, PRC1, and SYCP2 were mostly associated with CC and CDC20, NUSAP1, and CDKN3 were also associated with CIN2/3. …”
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Assessing qualitative and quantitative dimensions of uncertainty in energy modelling for policy support in the United Kingdom by Pye, S, Li, F, Petersen, A, Broad, O, McDowall, W, Price, J, Usher, W

“…To address this deficit in current modelling approaches in the UK context, we use the NUSAP (Numeral Unit Spread Assessment Pedigree) approach to qualify uncertainty in the energy system model, ESME. …”

Bioinformatics-based screening of key genes for transformation of tyrosine kinase inhibitor-resistant lung adenocarcinoma to small cell lung cancer by Ying Zhang, Qiang Chen, Ting Huang, Di Zhu, Yuanzhi Lu

“…Finally, the obtained hub genes were validated in treated LUAD cells.ResultsA total of 41 DEGs were obtained, four hub genes (EZH2, NUSAP1, TTK and UBE2C) were identified, and related prognostic information was obtained. …”
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Advanced stage, high-grade primary tumor ovarian cancer: a multi-omics dissection and biomarker prediction process by Yousof Saeedi Honar, Saleh Javaher, Marziye Soleimani, Amir Zarebkohan, Behrouz Farhadihosseinabadi, Masoud Tohidfar, Meghdad Abdollahpour-Alitappeh

“…Of note, KIAA0101, RAD51AP1, FAM83D, CEP55, PRC1, CKS2, CDCA5, NUSAP1, ECT2, and TRIP13 were found as top 10 hub genes; SIN3A, VDR, TCF7L2, NFYA, and FOXM1 were detected as predominant TFs in HGPTs; CEP55, PRC1, CKS2, CDCA5, and NUSAP1 were identified as potential biomarkers from hub gene clustering. …”
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Évaluation de la qualité de la connaissance dans une perspective délibérative by J van der Sluijs, Jean-Marc Douguet, M O’Connor, Jerry Ravetz

“…In the past decennia analytical diagnostic tools have been developed and used such as the NUSAP system, to assess and make explicit internal strength of knowledge claims. …”
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Identification of key biomarkers associated with development and prognosis in patients with ovarian carcinoma: evidence from bioinformatic analysis by Jiayu Shen, Shuqian Yu, Xiwen Sun, Meichen Yin, Jing Fei, Jianwei Zhou

“…Next, with PPI network analyzed by four topological methods in Cytohubba plugin of Cytoscape, 6 overlapping genes (DTL, DLGAP5, KIF15, NUSAP1, RRM2, and TOP2A) were eventually selected. …”
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Sharp Downregulation of Hub Genes Associated With the Pathogenesis of Breast Cancer From Ductal Carcinoma In Situ to Invasive Ductal Carcinoma by Yao Wang, Faqing Liang, Yuting Zhou, Yuting Zhou, Juanjuan Qiu, Juanjuan Qiu, Qing Lv, Zhenggui Du, Zhenggui Du

“…WGCNA revealed eight hub genes in the module, namely, CDK1, NUSAP1, CEP55, TOP2A, MELK, PBK, RRM2, and MAD2L1. …”
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Identification of Hub Genes Associated With Immune Infiltration and Predict Prognosis in Hepatocellular Carcinoma via Bioinformatics Approaches by Huaping Chen, Junrong Wu, Liuyi Lu, Zuojian Hu, Xi Li, Li Huang, Xiaolian Zhang, Mingxing Chen, Xue Qin, Li Xie

“…Furthermore, these hub genes served as independent prognostic factors, and the expression of these hub genes combing with the macrophage levels could help predict an unfavorable prognosis of HCC.ConclusionIn sum, these hub genes (TOP2A, CCNB2, PRC1, RACGAP1, AURKA, CDKN3, NUSAP1, CDCA5, ASPM, and NCAPG) may be pivotal markers for prognostic prediction as well as potentially work as targets for immune-based intervention strategies in HCC.…”
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Analysis of two-gene signatures and related drugs in small-cell lung cancer by bioinformatics by Li Yi, Zhou Xiwen, Lyu Zhi

“…The ten hub genes were NCAPG, BUB1B, TOP2A, CCNA2, NUSAP1, UBE2C, AURKB, RRM2, CDK1, and KIF11. Ten FDA-approved drugs were screened. …”
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Identification of modules and functional analysis in CRC subtypes by integrated bioinformatics analysis. by Ru Chen, Aiko Sugiyama, Hiroshi Seno, Masahiro Sugimoto

“…Weighted gene-based protein-protein interaction network analysis was performed for each subtype. NUSAP1, CD44, and COL4A1 modules were found to be statistically significant and present among all the subtypes and displayed though similar but not identical functional enrichment results. …”
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Identification of early molecular markers for breast cancer by Schlag Peter M, Schoenegg Winfried, Siedentopf Friederike, Sterner-Kock Anja, Kretschmer Céline, Kemmner Wolfgang

“…</p> <p>Results</p> <p>In DCIS-mice seven genes were identified that were significantly up-regulated in DCIS: DEPDC1, NUSAP1, EXO1, RRM2, FOXM1, MUC1 and SPP1. A similar up-regulation of homologues of the murine genes was observed in human DCIS samples. …”
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Scientific Opinion on the development of a risk ranking toolbox for the EFSA BIOHAZ Panel by EFSA Panel on Biological Hazards (BIOHAZ)

“…Techniques such as the NUSAP (numeral, unit, spread, assessment and pedigree) approach can also be used to prioritise factors for sensitivity and scenario analysis or stochastic modelling. …”
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Predicting factors and top gene identification for survival data of breast cancer by Sarada Ghosh, Guruprasad Samanta, Manuel De la Sen

“…This method identifies c-MYB, CDCA7, NUSAP1, BIRC5, ANGPTL4, JAG1, IL6ST, and remaining genes that are mainly responsible for mortality progression due to breast cancer. …”
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An in silico approach to the identification of diagnostic and prognostic markers in low-grade gliomas by Melih Özbek, Halil Ibrahim Toy, Yavuz Oktay, Gökhan Karakülah, Aslı Suner, Athanasia Pavlopoulou

“…Based on the network analyses, we derived a consensus of eighteen hub genes, namely, CD74, CD86, CDC25A, CYBB, HLA-DMA, ITGB2, KIF11, KIFC1, LAPTM5, LMNB1, MKI67, NCKAP1L, NUSAP1, SLC7A7, TBXAS1, TOP2A, TYROBP, and WDFY4. …”
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Identification of castration-dependent and -independent driver genes and pathways in castration-resistant prostate cancer (CRPC) by Yan Li, Hui Shi, Zhenjun Zhao, Minghui Xu

“…CRPC-specific DEGs were mainly enriched in cell proliferation, while CRPC-castration genes were associated with prostate gland development. NUSAP1 and NCAPG were identified as key genes, which might be promising biomarkers of the diagnosis and prognosis of CRPC. …”
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Identification of key modules and hub genes in glioblastoma multiforme based on co‐expression network analysis by Chun Li, Bangming Pu, Long Gu, Mingwei Zhang, Hongping Shen, Yuan Yuan, Lishang Liao

“…Hub genes were screened by survival analysis using The Cancer Genome Atlas and Human Protein Atlas databases and further tested using the GSE4290 and Gene Expression Profiling Interactive Analysis databases. The eight hub genes (NUSAP1, SHCBP1, KNL1, SULT4A1, SLC12A5, NUF2, NAPB, and GARNL3) were verified at both the transcriptional and translational levels, and these gene expression levels were significant based on the World Health Organization classification system. …”
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Identification of Hub Genes in Anaplastic Thyroid Carcinoma: Evidence From Bioinformatics Analysis by Liqi Li MD, PhD, Mingjie Zhu MD, PhD, Hu Huang MD, PhD, Junqiang Wu MD, PhD, Dong Meng MD, PhD

“…Based on the whole network, we identified 7 hub genes that included CDK1 , TOP2A , CDC20 , KIF11 , CCNA2 , NUSAP1 , and KIF2C . The expression levels of these hub genes were validated using quantitative polymerase chain reaction analyses of clinical specimens. …”
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