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Liu Y, Li C, Liu H, Tan S. Combination therapy involving HSP90 inhibitors for combating cancer: an overview of clinical and preclinical progress. Arch Pharm Res 2024; 47:442-464. [PMID: 38632167 DOI: 10.1007/s12272-024-01494-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 03/26/2024] [Indexed: 04/19/2024]
Abstract
The molecular chaperone heat shock protein 90 (HSP90) regulates multiple crucial signalling pathways in cancer by driving the maturation of key signalling components, thereby playing a crucial role in tumorigenesis and drug resistance in cancer. Inhibition of HSP90 results in metastable conformational collapse of its client proteins and their proteasomal degradation. Considerable efforts have been devoted to the development of small-molecule inhibitors targeting HSP90, and more than 20 inhibitors have been evaluated in clinical trials for cancer therapy. However, owing to disadvantages such as organ toxicity and drug resistance, only one HSP90 inhibitor has been approved for use in clinical settings. In recent years, HSP90 inhibitors used in combination with other anti-cancer therapies have shown remarkable potential in the treatment of cancer. HSP90 inhibitors work synergistically with various anti-cancer therapies, including chemotherapy, targeted therapy, radiation therapy and immunotherapy. HSP90 inhibitors can improve the pharmacological effects of the above-mentioned therapies and reduce treatment resistance. This review provides an overview of the use of combination therapy with HSP90 inhibitors and other anti-cancer therapies in clinical and preclinical studies reported in the past decade and summarises design strategies and prospects for these combination therapies. Altogether, this review provides a theoretical basis for further research and application of these combination therapies in the treatment of cancer.
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Affiliation(s)
- Yajun Liu
- School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Wenhua Road 103, Shenyang, 110016, China.
| | - Chenyao Li
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Dagong Road 2, Panjin, 124221, China
| | - Hongwei Liu
- Department of Head and Neck Surgery, Liaoning Cancer Hospital and Institute, Shenyang, 110042, China.
- Affiliated Cancer Hospital of Dalian University of Technology, Shenyang, 110042, China.
| | - Shutao Tan
- Department of Urology, Shengjing Hospital of China Medical University, Sanhao Street 36, Shenyang, 110004, China.
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Dong Y, Yu X, Song H, Chen Q, Zheng B, Ji X, Xu M, Liu J, Sun X, Wang Q, Ren R, Lu H. Identification of molecular subtypes and prognostic model to reveal immune infiltration and predict prognosis based on immunogenic cell death-related genes in lung adenocarcinoma. Cell Cycle 2023; 22:2566-2583. [PMID: 38164943 PMCID: PMC10936658 DOI: 10.1080/15384101.2023.2300591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 12/25/2023] [Indexed: 01/03/2024] Open
Abstract
Immunogenic cell death (ICD) has been increasingly indicated to be related to caners. However, ICD's role in Lung adenocarcinoma (LUAD) is still not well investigated. Clinical data along with associated mRNA expression profiles from LUAD cases were collected in TCGA and GEO databases. 13 ICD-related genes were identified. Relations of ICD-related genes expression with prognosis of patients, tumor immune microenvironment (TIME) was analyzed. Then, candidate genes were identified and the prognostic signature were constructed. Afterwards, one nomogram incorporating those chosen clinical data together with risk scores were built. Finally, the effect of HSP90AA1, one gene of the prognostic signature, on LUAD cell were analyzed. Two clusters were identified, which were designated as the ICD-high or -low subtype according to ICD-related genes levels. ICD-high subgroup showed good prognosis, high immune cell infiltration degrees, and enhanced immune response signaling activity compared with ICD-low subtype. Moreover, we established and verified the risk signature based on ICD-related genes. High risk group predicted poor prognosis of LUAD independently and presented negative association with immune score and immune status. Furthermore, nomogram contributed to the accurate prediction of LUAD prognostic outcome. Finally, HSP90AA1 levels were remarkably elevated within tumor cells in comparison with healthy pulmonary epithelial cells. HSP90α, HSP90AA1 protein product, promoted growth, migration, and invasion of LUAD cells. Molecular subtypes and prognostic model were identified by incorporating ICD-related genes, and it was related to TIME and might be adopted for the accurate prediction of LUAD prognosis.
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Affiliation(s)
- Yinying Dong
- Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiao Yu
- Department of Gynecology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Hao Song
- Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Qingfeng Chen
- Breast Disease Diagnosis and Treatment Center, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Bin Zheng
- Department of Neurosurgery, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong, China
| | - Xiaomeng Ji
- Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Mingjin Xu
- Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Jian Liu
- Department of Neurology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Xiangyin Sun
- Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Qiuxiao Wang
- Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Ruimei Ren
- Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
| | - Haijun Lu
- Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, China
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