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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2004 1
2007 2
2011 1
2013 1
2014 1
2015 1
2016 1
2018 2
2019 2
2020 5
2021 4
2022 3
2023 4
2024 0

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26 results

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Page 1
Usefulness of CDK5RAP3, CCNB2, and RAGE genes for the diagnosis of lung adenocarcinoma.
Stav D, Bar I, Sandbank J. Stav D, et al. Int J Biol Markers. 2007 Apr-Jun;22(2):108-13. doi: 10.1177/172460080702200204. Int J Biol Markers. 2007. PMID: 17549666 Free article.
A list of 2065 genes that differentiate between cancerous and noncancerous tissues was generated using Winsorized paired t-tests. We analyzed CDK5RAP3 and CCNB2, which are involved in cell cycle progression, and RAGE. The first 2 of these 3 genes proved to be overexpressed …
A list of 2065 genes that differentiate between cancerous and noncancerous tissues was generated using Winsorized paired t-tests. We analyze …
CCNB2 overexpression is a poor prognostic biomarker in Chinese NSCLC patients.
Qian X, Song X, He Y, Yang Z, Sun T, Wang J, Zhu G, Xing W, You C. Qian X, et al. Biomed Pharmacother. 2015 Aug;74:222-7. doi: 10.1016/j.biopha.2015.08.004. Epub 2015 Aug 28. Biomed Pharmacother. 2015. PMID: 26349989
Cyclin B2 (CCNB2), a member of cyclin family proteins, serves a key role in progression of G2/M transition. The clinical value of CCNB2 in non-small cell lung cancer is still unknown. The aim of our study is to identify the role of CCNB2 in NSCLC patients. .. …
Cyclin B2 (CCNB2), a member of cyclin family proteins, serves a key role in progression of G2/M transition. The clinical value of …
ACC2 is under-expressed in lung adenocarcinoma and predicts poor clinical outcomes.
Yu FY, Xu Q, Wei QY, Mo HY, Zhong QH, Zhao XY, Lau ATY, Xu YM. Yu FY, et al. J Cancer Res Clin Oncol. 2022 Nov;148(11):3145-3162. doi: 10.1007/s00432-021-03910-1. Epub 2022 Jan 22. J Cancer Res Clin Oncol. 2022. PMID: 35066671
In addition, knocking down ACC2 in A549 cells and HCC827 cells can promote cell proliferation and migration, and cell cycle-related genes MAD2L1 and CCNB2 were up-regulated after ACC2 was knockdown in A549 cells. Finally, we found that lung adenocarcinoma patients with und …
In addition, knocking down ACC2 in A549 cells and HCC827 cells can promote cell proliferation and migration, and cell cycle-related genes MA …
Risk factors and actionable molecular signatures in COVID-19-associated lung adenocarcinoma and lung squamous cell carcinoma patients.
Ullah MA, Alam S, Moin AT, Ahamed T, Shohael AM. Ullah MA, et al. Comput Biol Med. 2023 May;158:106855. doi: 10.1016/j.compbiomed.2023.106855. Epub 2023 Apr 5. Comput Biol Med. 2023. PMID: 37040675 Free PMC article.
Additionally, our findings, in concert with published literature, suggest that molecular signatures, such as hsa-mir-93-5p, CCNB2, IRF1, CD163, and different immune cell-based approaches could help both diagnose and treat this group of patients. ...
Additionally, our findings, in concert with published literature, suggest that molecular signatures, such as hsa-mir-93-5p, CCNB2, IR …
Gene expression analysis of lung adenocarcinoma and matched adjacent non-tumor lung tissue.
Zhang W, Gong W, Ai H, Tang J, Shen C. Zhang W, et al. Tumori. 2014 May-Jun;100(3):338-45. doi: 10.1700/1578.17222. Tumori. 2014. PMID: 25076248
RESULTS: A total of 1429 genes were filtered as DEGs, including 873 downregulated genes and 556 upregulated genes, and the DEGs including CDC45, CCNB2, CDC20, MCM2, PTTG1, MCM4 and FEN1 were most significantly related to cell cycle and DNA replication. ...
RESULTS: A total of 1429 genes were filtered as DEGs, including 873 downregulated genes and 556 upregulated genes, and the DEGs including CD …
Identification of Potential Key Genes and Prognostic Biomarkers of Lung Cancer Based on Bioinformatics.
Cai K, Xie Z, Liu Y, Wu J, Song H, Liu W, Wang X, Xiong Y, Gan S, Sun Y. Cai K, et al. Biomed Res Int. 2023 Jan 18;2023:2152432. doi: 10.1155/2023/2152432. eCollection 2023. Biomed Res Int. 2023. PMID: 36714024 Free PMC article.
In addition, we used the University of Alabama at Birmingham Cancer (UALCAN) website to analyze the expression of core genes in P53 mutation status, confirmed the expression of crucial core genes in lung cancer tissues with Gene Expression Profiling Interactive Analysis (GEPIA) a …
In addition, we used the University of Alabama at Birmingham Cancer (UALCAN) website to analyze the expression of core genes in P53 mutation …
In silico analysis revealed the potential circRNA-miRNA-mRNA regulative network of non-small cell lung cancer (NSCLC).
Balasundaram A, C GPD. Balasundaram A, et al. Comput Biol Med. 2023 Jan;152:106315. doi: 10.1016/j.compbiomed.2022.106315. Epub 2022 Nov 18. Comput Biol Med. 2023. PMID: 36495751
The PPI network, MCODE, and CytoHubba analysis revealed 12 hub genes (cdkn3, rrm2, ccnb1, aurka, nuf2, tyms, kif11, hmmr, ccnb2, nek2, anln, and birc5) that are associated with NSCLC. We identified that these 12 genes encode 12 mRNAs that are strongly linked with 8 miRNAs, …
The PPI network, MCODE, and CytoHubba analysis revealed 12 hub genes (cdkn3, rrm2, ccnb1, aurka, nuf2, tyms, kif11, hmmr, ccnb2, nek2 …
Target and Mechanism of the Xihuang Pill Based on Network Pharmacology for Lung Squamous Cell Carcinoma.
Tu H, Li J, Xu W, Wang Z, Wang L. Tu H, et al. Altern Ther Health Med. 2023 Oct;29(7):148-154. Altern Ther Health Med. 2023. PMID: 37442189 Free article.
The PPI network included 10 hub genes, including cyclin dependent kinase 1 (CDK1), cyclin B1 (CCNB1), cyclin B2 (CCNB2), polo-like kinase 1 (PLK1), aurora kinase B (AURKB), baculoviral IAP repeat containing 5 (BIRC5), cyclin A2 (CCNA2), aurora kinase A (AURKA), centrosome- …
The PPI network included 10 hub genes, including cyclin dependent kinase 1 (CDK1), cyclin B1 (CCNB1), cyclin B2 (CCNB2), polo-like ki …
Targeted Luminescent Probes for Precise Upconversion/NIR II Luminescence Diagnosis of Lung Adenocarcinoma.
Lv R, Wang Y, Lin B, Peng X, Liu J, Lü WD, Tian J. Lv R, et al. Anal Chem. 2021 Mar 23;93(11):4984-4992. doi: 10.1021/acs.analchem.1c00374. Epub 2021 Mar 11. Anal Chem. 2021. PMID: 33705098
Weighted gene co-expression network analysis is used to search the most relevant hub genes, and the required top genes that contribute to tumorigenesis (negative: CLEC3B, MFAP4, PECAM1, and FHL1; positive: CCNB2, CDCA5, HMMR, and TOP2A) are identified and validated by surv …
Weighted gene co-expression network analysis is used to search the most relevant hub genes, and the required top genes that contribute to tu …
Identification of crucial genes associated with lung adenocarcinoma by bioinformatic analysis.
Dai JJ, Zhou WB, Wang B. Dai JJ, et al. Medicine (Baltimore). 2020 Oct 30;99(44):e23052. doi: 10.1097/MD.0000000000023052. Medicine (Baltimore). 2020. PMID: 33126397 Free PMC article.
., collagen trimer, extracellular structure organization, heparin binding, complement and coagulation cascades, malaria, protein digestion and absorption, and PPAR signaling pathway) were considerably enriched in DEGs. UBE2C, TOP2A, RRM2, CDC20, CCNB2, KIAA0101, BUB1B, TPX …
., collagen trimer, extracellular structure organization, heparin binding, complement and coagulation cascades, malaria, protein digestion a …
26 results