Clinical significance and potential mechanism of heat shock factor 1 in acute myeloid leukemia.
Clinical significance and potential mechanism of heat shock factor 1 in acute myeloid leukemia.
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DOI:
10.18632/aging.204267
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发表时间:
2022-09-06
期刊:
影响因子:
5.2
通讯作者:
Xu, Ruirong
中科院分区:
文献类型:
--
作者:
Lyu, Chunyi;Wang, Qian;Yin, Xuewei;Li, Zonghong;Wang, Teng;Wang, Yan;Cui, Siyuan;Liu, Kui;Wang, Zhenzhen;Gao, Chang;Xu, Ruirong
Background: Heat shock factor 1 (HSF1) is now considered to have the potential to be used as a prognostic biomarker in cancers. However, its clinical significance and potential function in acute myeloid leukemia (AML) remain underexplored. Methods: In this study, the expression pattern and clinical significance of HSF1 in AML were examined by integrating data from databases including The Cancer Genome Atlas (TCGA), The Genotype–Tissue Expression (GTEx), Vizome, Cancer Cell Line Encyclopedia (CCLE) and Gene Expression Omnibus (GEO). Linkedomics was applied to collect HSF1–related genes in AML. GeneMANIA was applied to outline HSF1–related functional networks. CancerSEA analysis, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis and Gene Set Enrichment Analysis (GSEA) were performed to mine the potential mechanism of HSF1 in leukemogenesis. Single–sample Gene Set Enrichment Analysis (ssGSEA) was applied to explore the correlation between HSF1 and infiltrating immune cells in AML. Results: HSF1 expression was elevated in AML compared to healthy controls and indicate a poor overall survival. HSF1 expression was significantly correlated with patients age, associated with patient survival in subgroup of bone marrow blasts (%) >20. Functional analyses indicated that HSF1 plays a role in the metastatic status of AML, and is involved in inflammation–related pathways and biological processes. HSF1 expression was significantly correlated with the immune infiltration of nature killer cells and T cell population. Conclusion: HSF1 plays a vital role in the molecular network of AML pathogenesis, and has the potential to be a biomarker for prognosis prediction.
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影响因子:
64.8
作者:
Muench DE;Olsson A;Ferchen K;Pham G;Serafin RA;Chutipongtanate S;Dwivedi P;Song B;Hay S;Chetal K;Trump-Durbin LR;Mookerjee-Basu J;Zhang K;Yu JC;Lutzko C;Myers KC;Nazor KL;Greis KD;Kappes DJ;Way SS;Salomonis N;Grimes HL
通讯作者:
Grimes HL
影响因子:
3.7
作者:
Lacourt, Tamara E.;Kavelaars, Annemieke;Heijnen, Cobi J.
通讯作者:
Heijnen, Cobi J.
影响因子:
4.3
作者:
Pan, Xiaoyan;Lin, Jian;Liu, Shuwen
通讯作者:
Liu, Shuwen
影响因子:
6.4
作者:
Frezzato, Federica;Raggi, Flavia;Trentin, Livio
通讯作者:
Trentin, Livio
影响因子:
64.5
作者:
Mendillo ML;Santagata S;Koeva M;Bell GW;Hu R;Tamimi RM;Fraenkel E;Ince TA;Whitesell L;Lindquist S
通讯作者:
Lindquist S