Evaluation of clinical significances and anti-tumor effects with several prognostic factors in patients with acute myeloid leukemia

被引：1

作者：

Wang, Gangfeng ^{[1
]}

Zhou, Jing ^{[1
]}

Sun, Ke ^{[1
]}

Yao, Hanbing ^{[1
]}

Li, Yanchun ^{[1
]}

Yin, Huimin ^{[1
]}

Chen, Dongxue ^{[1
]}

Shang, Beibei ^{[1
]}

Zhu, Jianxin ^{[1
]}

Hou, Liping ^{[1
]}

Zhang, Rui ^{[1
]}

Liang, Yingmin ^{[1
]}

机构：

[1] Xian Int Med Ctr Hosp, Dept Hematol, 777 Xitai Rd, Xian 710100, Shaanxi, Peoples R China

来源：

JOURNAL OF RADIATION RESEARCH AND APPLIED SCIENCES | 2023年 / 16卷 / 01期

关键词：

Acute myeloid leukemia; Prognosis; Diagnosis; Bioinformatics;

D O I：

10.1016/j.jrras.2022.100492

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Background: s: Acute myeloid leukemia (AML) is a malignant tumor of the hemopoietic system in adults. Although multiple signaling pathways are associated with this disease, its pathogenesis has not yet been fully elucidated. Herein, we aimed to explore the novel prognostic, diagnostic and therapeutic targets in patients with AML. Methods: Gene expression, overall survival (OS) and diagnosis were analyzed by bioinformatics software with The Cancer Genome Atlas (TCGA) database and our cohort population (52 healthy subjects and 98 AML patients).Results: Three prognostic factors T-cell leukemia translocation-altered gene (TCTA), sideroflexin 3 (SFXN3) and phospholipase A2 group IVA (PLA2G4A) were closely linked to poor prognosis in patients with AML based on the TCGA database and our cohort population. Multivariate COX regression analysis indicated that age (>60 years), up-regulation of SFXN3 and PLA2G4A were the independent prognostic factors associated with poor OS. Intriguingly, TCTA, SFXN3 and PLA2G4A presented the remarkable diagnostic value to distinguish AML from healthy subjects. Knockdown of SFXN3 led to inhibition of AML cell growth in vitro and in vivo and prolonged the survival time of nude mouse. Conclusion: A three-gene panel may play pivotal pathogenic roles in AML, represents potential prognostic and diagnostic indicators and therapeutic targets in the patients with AML. In addition, SFXN3 may be a potential therapeutic target of AML.

引用

页数：10

共 22 条

[11] T-cell leukemia translocation-associated gene (TCTA) protein is required for human osteoclastogenesis [J].

Kotake, Shigeru ;

Nanke, Yuki ;

Kawamoto, Manabu ;

Yago, Toru ;

Udagawa, Nobuyuki ;

Ichikawa, Naomi ;

Kobashigawa, Tsuyoshi ;

Saito, Seiji ;

Momohara, Shigeki ;

Kamatani, Naoyuki ;

Yamanaka, Hisashi .

BONE, 2009, 45 (04) :627-639

[12] Novel prognostic genes and subclasses of acute myeloid leukemia revealed by survival analysis of gene expression data [J].

Lai, Yanli ;

OuYang, Guifang ;

Sheng, Lixia ;

Zhang, Yanli ;

Lai, Binbin ;

Zhou, Miao .

BMC MEDICAL GENOMICS, 2021, 14 (01)

[13] An Integrated TCGA Pan-Cancer Clinical Data Resource to Drive High-Quality Survival Outcome Analytics [J].

Liu, Jianfang ;

Lichtenberg, Tara ;

Hoadley, Katherine A. ;

Poisson, Laila M. ;

Lazar, Alexander J. ;

Cherniack, Andrew D. ;

Kovatich, Albert J. ;

Benz, Christopher C. ;

Levine, Douglas A. ;

Lee, Adrian V. ;

Omberg, Larsson ;

Wolf, Denise M. ;

Shriver, Craig D. ;

Thorsson, Vesteinn ;

Hu, Hai .

CELL, 2018, 173 (02) :400-+

[14] Serum autoantibody to sideroflexin 3 as a novel tumor marker for oral squamous cell carcinoma [J].

Murase, Ryuichi ;

Abe, Yasuhito ;

Takeuchi, Takashi ;

Nabeta, Motowo ;

Imai, Yoshinori ;

Kamei, Yoshiaki ;

Kagawa-Miki, Lisa ;

Ueda, Norifumi ;

Sumida, Tomoki ;

Hamakawa, Hiroyuki ;

Kito, Katusmi .

PROTEOMICS CLINICAL APPLICATIONS, 2008, 2 (04) :517-527

[15] Genomic Classification and Prognosis in Acute Myeloid Leukemia [J].

Papaemmanuil, Elli ;

Gerstung, Moritz ;

Bullinger, Lars ;

Gaidzik, Verena I. ;

Paschka, Peter ;

Roberts, Nicola D. ;

Potter, Nicola E. ;

Heuser, Michael ;

Thol, Felicitas ;

Bolli, Niccolo ;

Gundem, Gunes ;

Van Loo, Peter ;

Martincorena, Inigo ;

Ganly, Peter ;

Mudie, Laura ;

McLaren, Stuart ;

O'Meara, Sarah ;

Raine, Keiran ;

Jones, David R. ;

Teague, Jon W. ;

Butler, Adam P. ;

Greaves, Mel F. ;

Ganser, Arnold ;

Doehner, Konstanze ;

Schlenk, Richard F. ;

Doehner, Hartmut ;

Campbell, Peter J. .

NEW ENGLAND JOURNAL OF MEDICINE, 2016, 374 (23) :2209-2221

[16] GEOquery: a bridge between the gene expression omnibus (GEO) and BioConductor [J].

Sean, Davis ;

Meltzer, Paul S. .

BIOINFORMATICS, 2007, 23 (14) :1846-1847

[17] Identifying a novel 5-gene signature predicting clinical outcomes in acute myeloid leukemia [J].

Sha, K. ;

Lu, Y. ;

Zhang, P. ;

Pei, R. ;

Shi, X. ;

Fan, Z. ;

Chen, L. .

CLINICAL & TRANSLATIONAL ONCOLOGY, 2021, 23 (03) :648-656

[18] Epidemiology of acute myeloid leukemia: Recent progress and enduring challenges [J].

Shallis, Rory M. ;

Wang, Rong ;

Davidoff, Amy ;

Ma, Xiaomei ;

Zeidan, Amer M. .

BLOOD REVIEWS, 2019, 36 :70-87

[19] Annexin10 promotes extrahepatic cholangiocarcinoma metastasis by facilitating EMT via PLA2G4A/PGE2/STAT3 pathway [J].

Sun, Rongqi ;

Liu, Zengli ;

Qiu, Bo ;

Chen, Tianli ;

Li, Zhipeng ;

Zhang, Xiaoming ;

Xu, Yunfei ;

Zhang, Zongli .

EBIOMEDICINE, 2019, 47 :142-155

[20] Toil enables reproducible, open source, big biomedical data analyses [J].

Vivian, John ;

Rao, Arjun Arkal ;

Nothaft, Frank Austin ;

Ketchum, Christopher ;

Armstrong, Joel ;

Novak, Adam ;

Pfeil, Jacob ;

Narkizian, Jake ;

Deran, Alden D. ;

Musselman-Brown, Audrey ;

Schmidt, Hannes ;

Amstutz, Peter ;

Craft, Brian ;

Goldman, Mary ;

Rosenbloom, Kate ;

Cline, Melissa ;

O'Connor, Brian ;

Hanna, Megan ;

Birger, Chet ;

Kent, W. James ;

Patterson, David A. ;

Joseph, Anthony D. ;

Zhu, Jingchun ;

Zaranek, Sasha ;

Getz, Gad ;

Haussler, David ;

Paten, Benedict .

NATURE BIOTECHNOLOGY, 2017, 35 (04) :314-316

← 1 2 3 →