Literature DB >> 34064083

Heat Shock Factor 1 as a Prognostic and Diagnostic Biomarker of Gastric Cancer.

Woong Kim1, Seok-Jun Kim1,2.   

Abstract

Identification of effective prognostic and diagnostic biomarkers is needed to improve the diagnosis and treatment of gastric cancer. Early detection of gastric cancer through diagnostic markers can help establish effective treatments. Heat shock factor 1 (HSF1), presented in this review, is known to be regulated by a broad range of transcription factors, including those characterized in various malignant tumors, including gastric cancer. Particularly, it has been demonstrated that HSF1 regulation in various cancers is correlated with different processes, such as cell death, proliferation, and metastasis. Due to the effect of HSF1 on the initiation, development, and progression of various tumors, it is considered as an important gene for understanding and treating tumors. Additionally, HSF1 exhibits high expression in various cancers, and its high expression adversely affects the prognosis of various cancer patients, thereby suggesting that it can be used as a novel, predictive, prognostic, and diagnostic biomarker for gastric cancer. In this review, we discuss the literature accumulated in recent years, which suggests that there is a correlation between the expression of HSF1 and prognosis of gastric cancer patients through public data. Consequently, this evidence also indicates that HSF1 can be established as a powerful biomarker for the prognosis and diagnosis of gastric cancer.

Entities:  

Keywords:  biomarker; diagnosis; gastric cancer; heat shock factor 1 (HSF1); prognosis

Year:  2021        PMID: 34064083     DOI: 10.3390/biomedicines9060586

Source DB:  PubMed          Journal:  Biomedicines        ISSN: 2227-9059


  102 in total

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Authors:  Feng Fang; Ruimin Chang; Lianyue Yang
Journal:  Cancer       Date:  2011-08-25       Impact factor: 6.860

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Authors:  Bushu Dong; Alex M Jaeger; Dennis J Thiele
Journal:  Trends Pharmacol Sci       Date:  2019-11-11       Impact factor: 14.819

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Authors:  D Brent Polk; Richard M Peek
Journal:  Nat Rev Cancer       Date:  2010-06       Impact factor: 60.716

5.  The heat shock transcription factor 1 as a potential new therapeutic target in multiple myeloma.

Authors:  Tanja Heimberger; Mindaugas Andrulis; Simone Riedel; Thorsten Stühmer; Heike Schraud; Andreas Beilhack; Thomas Bumm; Bjarne Bogen; Hermann Einsele; Ralf C Bargou; Manik Chatterjee
Journal:  Br J Haematol       Date:  2012-12-18       Impact factor: 6.998

Review 6.  Regulation of heat shock transcription factors and their roles in physiology and disease.

Authors:  Rocio Gomez-Pastor; Eileen T Burchfiel; Dennis J Thiele
Journal:  Nat Rev Mol Cell Biol       Date:  2017-08-30       Impact factor: 94.444

7.  Cancer biomarker discovery and validation.

Authors:  Nicolas Goossens; Shigeki Nakagawa; Xiaochen Sun; Yujin Hoshida
Journal:  Transl Cancer Res       Date:  2015-06       Impact factor: 1.241

8.  Non-oncogene addiction and the stress phenotype of cancer cells.

Authors:  Nicole L Solimini; Ji Luo; Stephen J Elledge
Journal:  Cell       Date:  2007-09-21       Impact factor: 41.582

9.  The combination of cantharidin and antiangiogenic therapeutics presents additive antitumor effects against pancreatic cancer.

Authors:  Meng-Dan Xu; Lu Liu; Meng-Yao Wu; Min Jiang; Liu-Mei Shou; Wen-Jie Wang; Jing Wu; Yan Zhang; Fei-Ran Gong; Kai Chen; Min Tao; Qiaoming Zhi; Wei Li
Journal:  Oncogenesis       Date:  2018-11-26       Impact factor: 7.485

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Authors:  Marc L Mendillo; Sandro Santagata; Martina Koeva; George W Bell; Rong Hu; Rulla M Tamimi; Ernest Fraenkel; Tan A Ince; Luke Whitesell; Susan Lindquist
Journal:  Cell       Date:  2012-08-03       Impact factor: 41.582

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  2 in total

1.  Prognostic Value of Lymphocyte-to-White Blood Cell Ratio for In-Hospital Mortality in Infective Endocarditis Patients.

Authors:  Mengying Zhang; Qiuxia Ge; Tengfei Qiao; Yaman Wang; Xiaohong Xia; Xiang Zhang; Jun Zhou
Journal:  Int J Clin Pract       Date:  2022-02-25       Impact factor: 3.149

2.  Establishing a cancer driver gene signature-based risk model for predicting the prognoses of gastric cancer patients.

Authors:  Jun Chen; Chao Zhou; Ying Liu
Journal:  Aging (Albany NY)       Date:  2022-03-14       Impact factor: 5.682

  2 in total

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