Literature DB >> 34171978

KDM1A and KDM3A promote tumor growth by upregulating cell cycle-associated genes in pancreatic cancer.

Xuyang Hou1, Qiuguo Li2, Leping Yang1, Zhulin Yang1, Jun He1, Qinglong Li1, Daming Li3.   

Abstract

Pancreatic cancer is a highly malignant cancer of the pancreas with a very poor prognosis. Methylation of histone lysine residues is essential for regulating cancer physiology and pathophysiology, mediated by a set of methyltransferases (KMTs) and demethylases (KDMs). This study surveyed the expression of methylation regulators functioning at lysine 9 of histone 3 (H3K9) in pancreatic lesions and explored the underlying mechanisms. We analyzed KDM1A and KDM3A expression in clinical samples by immunohistochemical staining and searching the TCGA PAAD program and GEO datasets. Next, we identified the variation in tumor growth in vitro and in vivo after knockdown of KDM1A or KDM3A and explored the downstream regulators of KDM1A and KDM3A via RNA-seq, and gain- and loss-of-function assays. Eleven H3K9 methylation regulators were highly expressed in pancreatic cancer, and only KDM1A and KDM3A expression positively correlated with the clinicopathological characteristics in pancreatic cancer. High expression of KDM1A or KDM3A positively correlated with pathological grade, lymphatic metastasis, invasion, and clinical stage. Kaplan-Meier analysis indicated that a higher level of KDM1A or KDM3A led to a shorter survival period. Knockdown of KDM1A or KDM3A led to markedly impaired tumor growth in vitro and in vivo. Mechanistically, CCNA2, a cell cycle-associated gene was partially responsible for KDM1A knockdown-mediated effect and CDK6, also a cell cycle-associated gene was partially responsible for KDM3A knockdown-mediated effect on pancreatic cancer cells. Our study demonstrates that KDM1A and KDM3A are highly expressed in pancreatic cancer and are intimately correlated with clinicopathological factors and prognosis. The mechanism of action of KDM1A or KDM3A was both linked to the regulation of cell cycle-associated genes, such as CCNA2 or CDK6, respectively, by an H3K9-dependent pathway.

Entities:  

Keywords:  KDM1A; KDM3A; Pancreatic cancer; cell cycle; methylation

Mesh:

Substances:

Year:  2021        PMID: 34171978      PMCID: PMC8424634          DOI: 10.1177/15353702211023473

Source DB:  PubMed          Journal:  Exp Biol Med (Maywood)        ISSN: 1535-3699


  38 in total

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4.  The polycomb group protein EZH2 is involved in progression of prostate cancer.

Authors:  Sooryanarayana Varambally; Saravana M Dhanasekaran; Ming Zhou; Terrence R Barrette; Chandan Kumar-Sinha; Martin G Sanda; Debashis Ghosh; Kenneth J Pienta; Richard G A B Sewalt; Arie P Otte; Mark A Rubin; Arul M Chinnaiyan
Journal:  Nature       Date:  2002-10-10       Impact factor: 49.962

5.  JHDM2A, a JmjC-containing H3K9 demethylase, facilitates transcription activation by androgen receptor.

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Journal:  Cell       Date:  2006-04-06       Impact factor: 41.582

6.  Overexpression of G9a and MCM7 in oesophageal squamous cell carcinoma is associated with poor prognosis.

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Journal:  Histopathology       Date:  2014-11-13       Impact factor: 5.087

7.  Downregulation of METTL14 increases apoptosis and autophagy induced by cisplatin in pancreatic cancer cells.

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8.  Therapeutic Targeting of KDM1A/LSD1 in Ewing Sarcoma with SP-2509 Engages the Endoplasmic Reticulum Stress Response.

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Journal:  Mol Cancer Ther       Date:  2018-07-11       Impact factor: 6.261

Review 9.  Targeting histone methyltransferases and demethylases in clinical trials for cancer therapy.

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Journal:  Clin Epigenetics       Date:  2016-05-24       Impact factor: 6.551

Review 10.  Therapeutic opportunities in Ewing sarcoma: EWS-FLI inhibition via LSD1 targeting.

Authors:  Emily R Theisen; Kathleen I Pishas; Ranajeet S Saund; Stephen L Lessnick
Journal:  Oncotarget       Date:  2016-04-05
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  3 in total

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Journal:  BMC Cancer       Date:  2022-05-19       Impact factor: 4.638

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3.  GNG7 and ADCY1 as diagnostic and prognostic biomarkers for pancreatic adenocarcinoma through bioinformatic-based analyses.

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Journal:  Sci Rep       Date:  2021-10-14       Impact factor: 4.379

  3 in total

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