Literature DB >> 22830255

[Increase in NETO2 gene expression is a potential molecular genetic marker in renal and lung cancers].

N Iu Oparina, A F Sadritdinova, A V Snezhkina, A A Dmitriev, G S Krasnov, V N Senchenko, N V Mel'nikova, M S Belenikin, V A Lakunina, V A Veselovskiĭ, O A Stepanov, A V Kudriavtseva.   

Abstract

Multiple changes in the genome, transcriptome, and proteome are frequent in cancer cells. A search for molecular markers based on DNA, mRNA, or proteins is a main method to develop early specific diagnostics for cancer. While universal markers are still unavailable, similar trends are known for the expression patterns of particular genes in certain epithelial tumors. A bioinformatic screening of transcriptomic databases identified the NETO2 gene as a new potential promising marker of renal cancer. A substantial increase in NETO2 mRNA level was detected in 90% clear-cell renal cell carcinomas, 70% of non-small cell lung cancers, and 50% of papillary renal cancers by real-time PCR. The NETO2 mRNA level was increased to a lesser extent in cervical carcinoma and colon cancer and tended to decrease in cancer of the stomach. The NETO2 gene, which codes for a membrane glycoprotein with an unclear function, was assumed to provide a new promising marker for early diagnosis in renal cancer and non-small cell lung cancer.

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Year:  2012        PMID: 22830255

Source DB:  PubMed          Journal:  Genetika        ISSN: 0016-6758


  12 in total

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Authors:  A F Sadritdinova; A V Snezhkina; A A Dmitriev; G S Krasnov; L N Astakhova; A A Kudryavtsev; N V Mel'nikova; A S Speranskaya; M V Darii; V A Lakunina; L A Uroshlev; A O Smurov; O A Stepanov; A V Kudryavtseva
Journal:  Dokl Biol Sci       Date:  2013-10-23

2.  Upregulation of NETO2 expression correlates with tumor progression and poor prognosis in colorectal carcinoma.

Authors:  Liang Hu; Hai-Yang Chen; Jian Cai; Guang-Zhen Yang; Dan Feng; Yan-Xia Zhai; Hui Gong; Chen-Ye Qi; Yu Zhang; Hao Fu; Qing-Ping Cai; Chun-Fang Gao
Journal:  BMC Cancer       Date:  2015-12-23       Impact factor: 4.430

3.  Systematic assessment of cervical cancer initiation and progression uncovers genetic panels for deep learning-based early diagnosis and proposes novel diagnostic and prognostic biomarkers.

Authors:  Nguyen Phuoc Long; Kyung Hee Jung; Sang Jun Yoon; Nguyen Hoang Anh; Tran Diem Nghi; Yun Pyo Kang; Hong Hua Yan; Jung Eun Min; Soon-Sun Hong; Sung Won Kwon
Journal:  Oncotarget       Date:  2017-11-25

4.  Upregulation of NETO2 gene in colorectal cancer.

Authors:  Maria S Fedorova; Anastasiya V Snezhkina; Elena A Pudova; Ivan S Abramov; Anastasiya V Lipatova; Sergey L Kharitonov; Asiya F Sadritdinova; Kirill M Nyushko; Kseniya M Klimina; Mikhail M Belyakov; Elena N Slavnova; Nataliya V Melnikova; Maria A Chernichenko; Dmitry V Sidorov; Marina V Kiseleva; Andrey D Kaprin; Boris Y Alekseev; Alexey A Dmitriev; Anna V Kudryavtseva
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5.  The ceRNA Network Has Potential Prognostic Value in Clear Cell Renal Cell Carcinoma: A Study Based on TCGA Database.

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Journal:  Genome Res       Date:  2019-02-08       Impact factor: 9.043

7.  NETO2 promotes invasion and metastasis of gastric cancer cells via activation of PI3K/Akt/NF-κB/Snail axis and predicts outcome of the patients.

Authors:  Jun-Yan Liu; Lei Jiang; Tao He; Jia-Jia Liu; Jun-Yan Fan; Xian-Hui Xu; Bo Tang; Yan Shi; Yong-Liang Zhao; Feng Qian; Yan Wang; You-Hong Cui; Pei-Wu Yu
Journal:  Cell Death Dis       Date:  2019-02-15       Impact factor: 8.469

8.  Identification of a gene expression signature associated with the metastasis suppressor function of NME1: prognostic value in human melanoma.

Authors:  M Kathryn Leonard; Joseph R McCorkle; Devin E Snyder; Marian Novak; Qingbei Zhang; Amol C Shetty; Anup A Mahurkar; David M Kaetzel
Journal:  Lab Invest       Date:  2017-10-23       Impact factor: 5.662

9.  Spatiotemporal expression of MYD88 gene in pigs from birth to adulthood.

Authors:  LiNa Gan; WeiYun Qin; Sen Wu; ShengLong Wu; WenBin Bao
Journal:  Genet Mol Biol       Date:  2018-01-22       Impact factor: 1.771

10.  Comparison of gene expression profiles between human erythroid cells derived from fetal liver and adult peripheral blood.

Authors:  Amornrat Tangprasittipap; Pavita Kaewprommal; Orapan Sripichai; Nuankanya Sathirapongsasuti; Chonthicha Satirapod; Philip J Shaw; Jittima Piriyapongsa; Suradej Hongeng
Journal:  PeerJ       Date:  2018-08-31       Impact factor: 2.984

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