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Xia W, Yang J, Li H, Li L, Liu J. Comparing Genomic Profiles of ALK Fusion-Positive and ALK Fusion-Negative Nonsmall Cell Lung Cancer Patients. Glob Med Genet 2024; 11:175-186. [PMID: 38873557 PMCID: PMC11175831 DOI: 10.1055/s-0044-1787301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2024] Open
Abstract
Background Anaplastic lymphoma kinase ( ALK ) fusion events account for 3 to 7% of genetic alterations in patients with nonsmall cell lung cancer (NSCLC). This study aimed to explore the landscape of ALK fusion-positive and ALK fusion-negative in a large cohort of NSCLC patients. Methods The formalin-fixed paraffin-embedded specimens of NSCLC patients who underwent next-generation sequencing from 2020 to 2023 in Yinfeng Gene Technology Co., Ltd. Clinical laboratory were included in this study. Results In the current study, a total of 180 (3.20%) patients tested positive for ALK fusions in 5,622 NSCLC samples. Within the ALK -positive cohort, a total of 228 ALK fusions were identified. Furthermore, five novel ALK fusion partners, including DAB1-ALK , KCMF1-ALK , KIF13A-ALK , LOC643770-ALK , and XDH-ALK were identified. In cases with ALK fusion-positive, TP53 alterations were the most prevalent (26.3%), followed by CDKN2A (8.4%), epidermal growth factor receptor ( EGFR , 5.6%), and ALK (5.6%). By contrast, EGFR alterations were most prevalent (51%) in patients with ALK fusion-negative NSCLC, followed by TP53 (42.7%), KRAS (11.6%), and CDKN2A (11.3%). A total of 10 cases where ALK fusion co-occurred with EGFR mutations were also identified. Notably, the ALK fusion positivity rate was higher in younger patients ( p < 0.0001) and in female patients ( p = 0.0429). Additionally, positive ALK test results were more prevalent in patients with high programmed death-ligand 1 expression, especially when applying a 50% cutoff. Conclusions Collectively, these findings offer valuable genomic insights that could inform the personalized clinical care of patients with NSCLC harboring ALK fusions within the context of precision medicine.
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Affiliation(s)
- Wenchao Xia
- Department of Thoracic Surgery, Tianjin Chest Hospital, Tianjin, People's Republic of China
| | - Jing Yang
- Department of Pathogenic Biology, Logistics University of Chinese People's Armed Police Force, Tianjin, People's Republic of China
| | - Hongbin Li
- Department of Oncology, Rongcheng County People's Hospital, Baoding, People's Republic of China
| | - Ling Li
- Department of Medicine, Yinfeng Gene Technology Co., Ltd., Jinan, People's Republic of China
| | - Jinfeng Liu
- Department of Thoracic Surgery, The First Hospital of Hebei Medical University, Shijiazhuang, People's Republic of China
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Pang W, Gong L, Shi W, Zheng H, Ye M, Chen J, Li R, Zhang X, Ren D, Wang Z. Identification of gene variation feature for targeted therapy of non-small cell lung cancer through combined method of DNA and RNA sequencing. Discov Oncol 2024; 15:67. [PMID: 38446389 PMCID: PMC10917717 DOI: 10.1007/s12672-024-00915-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 02/28/2024] [Indexed: 03/07/2024] Open
Abstract
Next generation sequencing (NGS) is typically used to reveal tumor gene variation feature for targeted therapy of various types of human cancers, including non-small cell lung cancer (NSCLC). Here, we report the role and potential applicable value of combining DNA and RNA sequencing in gene variation detection in NSCLC. 386 NSCLC patients with stage II-IV were enrolled and detected using NGS sequencing of DNA and RNA panels that covered all well-documented target driver genes from the Chinese Society of Clinical Oncology (CSCO). The rate of epidermal growth factor receptor (EGFR) single nucleotide variation (SNV)/indel, mesenchymal-epithelial transition factor (MET) copy number variation (CNV) and anaplastic lymphoma kinase (ALK) fusion were 52.1%, 4.1% and 6.0% in the NSCLC cohort. The landscapes of SNV/indel, CNV and gene fusion in the cohort were depicted as well. Meanwhile, we assessed detection efficacy of DNA and RNA sequencing in gene fusion. Detected number and types of gene fusion using the RNA sequencing were better than those using the DNA sequencing. Gene fusion with intergenic region was only detected by DNA sequencing and MET exon 14 skipping (METΔex14) was more easily identified by RNA sequencing. Finally, we investigated clinical correlations of SNV/indel/CNV/fusion with clinicopathologic features in the NSCLC cohort. Taken together, RNA sequencing significantly complements deficiency of DNA sequencing for gene fusion, which cooperatively presents comprehensive and reliable gene variation features and facilitate the identification of potential drug targets for NSCLC patients.
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Affiliation(s)
- Wenguang Pang
- The First Affiliated Hospital of Jinan University, Guangzhou, 510630, China
- Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, 529030, China
| | - Longlong Gong
- Genecast Biotechnology Co., Ltd., Wuxi, 214104, China
| | - Wangpan Shi
- Department of Pathology, University of California San Diego Health System, San Diego, CA, 92037, USA
| | - Hongbo Zheng
- Genecast Biotechnology Co., Ltd., Wuxi, 214104, China
| | - Min Ye
- Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, 529030, China
| | - Jiarong Chen
- Department of Oncology, Jiangmen Central Hospital, Jiangmen, 529030, China
| | - Ronggang Li
- Department of Pathology, Jiangmen Central Hospital, Jiangmen, 529030, China
| | - Xin Zhang
- Clinical Experimental Center, Jiangmen Key Laboratory of Clinical Biobanks and Translational Research, Jiangmen Central Hospital, Jiangmen, 529030, China
| | - Dong Ren
- Departments of Pathology, University of California Irvine Medical Center, 101 The City Drive South, Orange, CA, 92868, USA.
| | - Zheng Wang
- Department of Thoracic Surgery, The 2nd Clinical Medical College of Jinan University, Shenzhen, 518020, China.
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Gao R, Zhang X, Chen X, Chen X, Jin L, Zheng H, Yu X. Clinicopathological Characteristics and Prognosis Analysis of Lung Carcinoma With p40/TTF1 Coexpression and Lung Adenosquamous Carcinoma: Lung Carcinoma With p40/TTF1 Coexpression Is a Rare Tumor With High Metastatic Potential. Int J Surg Pathol 2024:10668969241229343. [PMID: 38321785 DOI: 10.1177/10668969241229343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Background. Lung carcinoma with p40/TTF1 coexpression (LC-PTC) is a very rare tumor with poor prognosis, and few cases have been reported to date. Objectives. To better understand biological behavior and prognosis of LC-PTC. Methods. We collected 9 examples of LC-PTC and compared them with 36 lung adenosquamous carcinomas during the same period in clinicopathologic characteristics, biologic behaviour, and prognosis. Results. Lung carcinoma with p40/TTF1 coexpression mainly occurred in middle-aged and elderly men; 8 tumors belonged to the peripheral type, and 1 belonged to the central type. The rates of lymph node and distant metastasis were 88% (7/8) and 50% (4/8), respectively; 2 patients died during follow-up. Histologically, the LC-PTC showed nest-like growth pattern without glandular growth pattern; the surface of 2 tumors was covered with ciliated columnar epithelium and tumor cells grew under the columnar epithelium. In all patients, tumor cells diffusely coexpressed p40 and TTF1. Although there was no significant difference in the maximum diameter of tumor with lymph node metastasis or with distant metastasis between LC-PTC and lung adenosquamous carcinoma, LC-PTC had a higher rate of lymph node metastasis and distant metastasis. There was no significant difference in overall survival of patients between LC-PTC and lung adenosquamous carcinoma. Additional histologic evaluation of normal pulmonary structures revealed that p40/TTF1 coexpression cells existed in bronchial mucosa and the number of cells coexpressing p40/TTF1 increased gradually from proximal bronchus to distal bronchus. Conclusions. Lung carcinoma with p40/TTF1 coexpression is a rare tumor with high metastatic potential and may originate from p40/TTF1 coexpression cells in distal bronchial mucosa.
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Affiliation(s)
- Rui Gao
- Department of Pathology, Fujian Provincial Hospital, Provincial Clinical Medical College of Fujian Medical University, P.R. China
| | - Xi Zhang
- Department of Gastroenterology, Fujian Provincial Hospital, Provincial Clinical Medical College of Fujian Medical University, P.R. China
| | - Xiaoyan Chen
- Department of Pathology, Fujian Provincial Hospital, Provincial Clinical Medical College of Fujian Medical University, P.R. China
| | - Xin Chen
- Department of Pathology, Fujian Provincial Hospital, Provincial Clinical Medical College of Fujian Medical University, P.R. China
| | - Long Jin
- Department of Pathology, Fujian Provincial Hospital, Provincial Clinical Medical College of Fujian Medical University, P.R. China
| | - Huawei Zheng
- Department of Pathology, Fujian Provincial Hospital, Provincial Clinical Medical College of Fujian Medical University, P.R. China
| | - Xunbin Yu
- Department of Pathology, Fujian Provincial Hospital, Provincial Clinical Medical College of Fujian Medical University, P.R. China
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Tantawy SI, Timofeeva N, Sarkar A, Gandhi V. Targeting MCL-1 protein to treat cancer: opportunities and challenges. Front Oncol 2023; 13:1226289. [PMID: 37601693 PMCID: PMC10436212 DOI: 10.3389/fonc.2023.1226289] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 07/03/2023] [Indexed: 08/22/2023] Open
Abstract
Evading apoptosis has been linked to tumor development and chemoresistance. One mechanism for this evasion is the overexpression of prosurvival B-cell lymphoma-2 (BCL-2) family proteins, which gives cancer cells a survival advantage. Mcl-1, a member of the BCL-2 family, is among the most frequently amplified genes in cancer. Targeting myeloid cell leukemia-1 (MCL-1) protein is a successful strategy to induce apoptosis and overcome tumor resistance to chemotherapy and targeted therapy. Various strategies to inhibit the antiapoptotic activity of MCL-1 protein, including transcription, translation, and the degradation of MCL-1 protein, have been tested. Neutralizing MCL-1's function by targeting its interactions with other proteins via BCL-2 interacting mediator (BIM)S2A has been shown to be an equally effective approach. Encouraged by the design of venetoclax and its efficacy in chronic lymphocytic leukemia, scientists have developed other BCL-2 homology (BH3) mimetics-particularly MCL-1 inhibitors (MCL-1i)-that are currently in clinical trials for various cancers. While extensive reviews of MCL-1i are available, critical analyses focusing on the challenges of MCL-1i and their optimization are lacking. In this review, we discuss the current knowledge regarding clinically relevant MCL-1i and focus on predictive biomarkers of response, mechanisms of resistance, major issues associated with use of MCL-1i, and the future use of and maximization of the benefits from these agents.
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Affiliation(s)
- Shady I. Tantawy
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Natalia Timofeeva
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Aloke Sarkar
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Varsha Gandhi
- Department of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
- Department of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
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Wang J, He Y, Yang C, Luo Q, Wang B. Myeloid cell leukemia-1 as a candidate prognostic biomarker in cancers: a systematic review and meta-analysis. Expert Rev Anticancer Ther 2023; 23:1017-1027. [PMID: 37467344 DOI: 10.1080/14737140.2023.2238900] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 07/14/2023] [Accepted: 07/15/2023] [Indexed: 07/21/2023]
Abstract
INTRODUCTION Studies have shown that myeloma cell leukemia-1 (MCL-1) is associated with the prognosis of patients with cancer. To further validate the prognostic value of MCL-1 in cancer, a meta-analysis was conducted. METHODS Six databases were searched using Boolean logic search formulas. Data were extracted from the included literature, and pooled odds ratio, hazard ratio, and 95% confidence interval were calculated to determine the relationship between MCL-1 levels and clinicopathological characteristics and prognosis of patients with cancer. When heterogeneity was found to be significant, a random effects model was used, otherwise, a fixed effects model was used. RESULTS Twelve articles were included in this meta-analysis, totaling 2208 patients with cancer across 14 studies. A high MCL-1 expression level was associated with patients with high T stage, M stage, and TNM stage in some cancers. Additionally, high MCL-1 expression was likely to be observed in patients with poorly differentiated digestive system tumors and patients with lung adenocarcinoma. Notably, a higher expression of MCL-1 was found to be associated with shorter overall survival in patients with hematological tumors, digestive system tumors, and lung cancer. CONCLUSION MCL-1 may be a prognostic biomarker in patients with some types of cancer.
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Affiliation(s)
- Jianrong Wang
- Department of Respiratory and Critical Care Medicine, Ya'an People's Hospital, Ya'an, Sichuan, China
| | - Yu He
- Department of Respiratory and Critical Care Medicine, Ya'an People's Hospital, Ya'an, Sichuan, China
| | - Chao Yang
- Department of Respiratory and Critical Care Medicine, Ya'an People's Hospital, Ya'an, Sichuan, China
| | - Qiurui Luo
- Department of Respiratory and Critical Care Medicine, Ya'an People's Hospital, Ya'an, Sichuan, China
| | - Bingchi Wang
- Department of Respiratory and Critical Care Medicine, Ya'an People's Hospital, Ya'an, Sichuan, China
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Wei Y, Zhang L, Wang C, Li Z, Luo M, Xie G, Yang X, Li M, Ren S, Zhao D, Gao R, Gong J. Anti-apoptotic protein BCL-XL as a therapeutic vulnerability in gastric cancer. Animal Model Exp Med 2023; 6:245-254. [PMID: 37271936 PMCID: PMC10272913 DOI: 10.1002/ame2.12330] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Accepted: 05/08/2023] [Indexed: 06/06/2023] Open
Abstract
BACKGROUND New therapeutic targets are needed to improve the outcomes for gastric cancer (GC) patients with advanced disease. Evasion of programmed cell death (apoptosis) is a hallmark of cancer cells and direct induction of apoptosis by targeting the pro-survival BCL2 family proteins represents a promising therapeutic strategy for cancer treatment. Therefore, understanding the molecular mechanisms underpinning cancer cell survival could provide a molecular basis for potential therapeutic interventions. METHOD Here we explored the role of BCL2L1 and the encoded anti-apoptotic BCL-XL in GC. Using Droplet Digital PCR (ddPCR) technology to investigate the DNA amplification of BCL2L1 in GC samples and GC cell lines, the sensitivity of GC cell lines to selective BCL-XL inhibitors A1155463 and A1331852, pan-inhibitor ABT-263, and VHL-based PROTAC-BCL-XL was analyzed using (CellTiter-Glo) CTG assay in vitro. Western Blot (WB) was used to detect the protein expression of BCL2 family members in GC cell lines and the manner in which PROTAC-BCL-XL kills GC cells. Co-immunoprecipitation (Co-IP) was used to investigate the mechanism of A1331852 and ABT-263 kills GC cell lines. DDPCR, WB, and real-time PCR (RTPCR) were used to investigate the correlation between DNA, RNA, protein levels, and drug activity. RESULTS The functional assay showed that a subset of GC cell lines relies on BCL-XL for survival. In gastric cancer cell lines, BCL-XL inhibitors A1155463 and A1331852 are more sensitive than the pan BCL2 family inhibitor ABT-263, indicating that ABT-263 is not an optimal inhibitor of BCL-XL. VHL-based PROTAC-BCL-XL DT2216 appears to be active in GC cells. DT2216 induces apoptosis of gastric cancer cells in a time- and dose-dependent manner through the proteasome pathway. Statistical analysis showed that the BCL-XL protein level predicts the response of GC cells to BCL-XL targeting therapy and BCL2L1 gene CNVs do not reliably predict BCL-XL expression. CONCLUSION We identified BCL-XL as a promising therapeutic target in a subset of GC cases with high levels of BCL-XL protein expression. Functionally, we demonstrated that both selective BCL-XL inhibitors and VHL-based PROTAC BCL-XL can potently kill GC cells that are reliant on BCL-XL for survival. However, we found that BCL2L1 copy number variations (CNVs) cannot reliably predict BCL-XL expression, but the BCL-XL protein level serves as a useful biomarker for predicting the sensitivity of GC cells to BCL-XL-targeting compounds. Taken together, our study pinpointed BCL-XL as potential druggable target for specific subsets of GC.
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Affiliation(s)
- Yumin Wei
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Liping Zhang
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Chao Wang
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Zefeng Li
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Mingjie Luo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic CenterSun Yat‐Sen UniversityGuangzhouChina
| | - Guomin Xie
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Xingjiu Yang
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Mengyuan Li
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Shuyue Ren
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Dongbing Zhao
- Department of Pancreatic and Gastric Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina
| | - Ran Gao
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
| | - Jia‐Nan Gong
- National Human Diseases Animal Model Resource Center, The Institute of Laboratory Animal ScienceChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
- NHC Key Laboratory of Human Disease Comparative Medicine, Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
- Beijing Engineering Research Center for Experimental Animal Models of Human Critical DiseasesBeijingChina
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Qi L, Chen F, Wang L, Yang Z, Zhang W, Li ZH. Identification of anoikis-related molecular patterns to define tumor microenvironment and predict immunotherapy response and prognosis in soft-tissue sarcoma. Front Pharmacol 2023; 14:1136184. [PMID: 36937870 PMCID: PMC10014785 DOI: 10.3389/fphar.2023.1136184] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 02/16/2023] [Indexed: 03/05/2023] Open
Abstract
Background: Soft-tissue sarcoma (STS) is a massive threat to human health due to its high morbidity and malignancy. STS also represents more than 100 histologic and molecular subtypes, with different prognosis. There is growing evidence that anoikis play a key role in the proliferation and invasion of tumors. However, the effects of anoikis in the immune landscape and the prognosis of STS remain unclear. Methods: We analyzed the genomic and transcriptomic profiling of 34 anoikis-related genes (ARGs) in patient cohort of pan-cancer and STS from The Cancer Genome Atlas (TCGA) database. Single-cell transcriptome was used to disclose the expression patterns of ARGs in specific cell types. Gene expression was further validated by real-time PCR and our own sequencing data. We established the Anoikis cluster and Anoikis subtypes by using unsupervised consensus clustering analysis. An anoikis scoring system was further built based on the differentially expressed genes (DEGs) between Anoikis clusters. The clinical and biological characteristics of different groups were evaluated. Results: The expressions of most ARGs were significantly different between STS and normal tissues. We found some common ARGs profiles across the pan-cancers. Network of 34 ARGs demonstrated the regulatory pattern and the association with immune cell infiltration. Patients from different Anoikis clusters or Anoikis subtypes displayed distinct clinical and biological characteristics. The scoring system was efficient in prediction of prognosis and immune cell infiltration. In addition, the scoring system could be used to predict immunotherapy response. Conclusion: Overall, our study thoroughly depicted the anoikis-related molecular and biological profiling and interactions of ARGs in STS. The Anoikis score model could guide the individualized management.
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Affiliation(s)
- Lin Qi
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
| | - Fangyue Chen
- Department of General Surgery, Changhai Hospital, Navy Military Medical University, Shanghai, China
| | - Lu Wang
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
| | - Zhimin Yang
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
- Department of Microbiology, Immunology & Molecular Genetics, University of Texas Long School of Medicine, UT Health Science Center, San Antonio, TX, United States
| | - Wenchao Zhang
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
- *Correspondence: Wenchao Zhang, ; Zhi-Hong Li,
| | - Zhi-Hong Li
- Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China
- Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China
- *Correspondence: Wenchao Zhang, ; Zhi-Hong Li,
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Burgess EF, Sanders JA, Livasy C, Symanowski J, Gatalica Z, Steuerwald NM, Arguello D, Brouwer CR, Korn WM, Grigg CM, Zhu J, Matulay JT, Clark PE, Heath EI, Raghavan D. Identification of potential biomarkers and novel therapeutic targets through genomic analysis of small cell bladder carcinoma and associated clinical outcomes. Urol Oncol 2022; 40:383.e1-383.e10. [DOI: 10.1016/j.urolonc.2022.04.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 04/09/2022] [Accepted: 04/28/2022] [Indexed: 11/27/2022]
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Dai Y, Liu P, He W, Yang L, Ni Y, Ma X, Du F, Song C, Liu Y, Sun Y. Genomic Features of Solid Tumor Patients Harboring ALK/ROS1/NTRK Gene Fusions. Front Oncol 2022; 12:813158. [PMID: 35785159 PMCID: PMC9243239 DOI: 10.3389/fonc.2022.813158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 04/19/2022] [Indexed: 11/13/2022] Open
Abstract
The fusions of receptor tyrosine kinase (RTK) involving anaplastic lymphoma kinase (ALK), c-ros oncogene 1 (ROS1), and neurotrophic receptor tyrosine kinase (NTRK) represent the potential targets of therapeutic intervention for various types of solid tumors. Here, the genomic features of 180 Chinese solid tumor patients with ALK, ROS1, and NTRK fusions by next generation sequencing (NGS) were comprehensively characterized, and the data from 121 patients in Memorial Sloan Kettering Cancer Center (MSKCC) database were used to compare. We found that ALK, ROS1, and NTRK fusions were more common in younger female patients (p<0.001) and showed a higher expression of programmed death ligand 1 (PD-L1). The gene-intergenic fusion and the fusion with rare formation directions accounted for a certain proportion in all samples and 62 novel fusions were discovered. Alterations in TP53 and MUC16 were common in patients with RTK fusions. The mutational signatures of patients were mainly distributed in COSMIC signature 1, 2, 3, 15 and 30, while had a higher frequency in copy number variations (CNVs) of individual genes, such as IL-7R. In the MSKCC cohort, patients with fusions and CNVs showed shorter overall survival than those with only fusions. Furthermore, the differentially mutated genes between fusion-positive and -negative patients mainly concentrated on MAPK signaling and FOXO signaling pathways. These results may provide genomic information for the personalized clinical management of solid tumor patients with ALK, ROS1, and NTRK fusions in the era of precision medicine.
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Affiliation(s)
- Yinghuan Dai
- Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Ping Liu
- Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Wenlong He
- Department of Respiratory and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Lizhen Yang
- Department of Respiratory and Critical Care Medicine, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Yang Ni
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
- Department of Medicine, Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing, China
| | - Xuejiao Ma
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
- Department of Medicine, Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing, China
| | - Furong Du
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
- Department of Medicine, Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing, China
| | - Chao Song
- State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd., Nanjing, China
- Department of Medicine, Nanjing Simcere Medical Laboratory Science Co., Ltd., Nanjing, China
- *Correspondence: Yi Sun, ; Yang Liu, ; Chao Song,
| | - Yang Liu
- Department of Thoracic Surgery, The First Affiliated Hospital of China Medical University, Shenyang, China
- *Correspondence: Yi Sun, ; Yang Liu, ; Chao Song,
| | - Yi Sun
- Department of Pathology, The Second Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Yi Sun, ; Yang Liu, ; Chao Song,
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Liang Z, Wang W, Hu Q, Zhou P, Zhang Y, Tang Y, Wu Q, Fu Y, Li X, Shao Y, Jiang L. Pulmonary large cell carcinoma with neuroendocrine morphology shows genetic similarity to large cell neuroendocrine carcinoma. Diagn Pathol 2022; 17:26. [PMID: 35144629 PMCID: PMC8832809 DOI: 10.1186/s13000-022-01204-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Accepted: 01/25/2022] [Indexed: 02/08/2023] Open
Abstract
Background Large cell neuroendocrine carcinoma (LCNEC) is a high-grade malignant pulmonary neuroendocrine tumour. The distinction of pulmonary large cell carcinoma (LCC) and LCNEC is based on the presence of neuroendocrine morphology and the expression of at least one neuroendocrine marker in at least 10% of tumour cells in the latter. According to the current classification, LCC with neuroendocrine morphology and without neuroendocrine marker expression is classified as LCC. This subgroup we have named LCNEC-null and aimed to analyze its characteristics. Methods 31 surgical samples resected in West China Hospital of Sichuan University between 2017 to 2021 were collected, including 7 traditional LCCs, 11 LCNEC-nulls and 13 LCNECs. Each case was conducted to immunohistochemistry and 425-panel-NGS. Results Compared to other LCCs, detailed analysis of LCNEC-nulls revealed biological features similar to those of LCNECs, especially for immunohistochemistry and molecular analysis: 1. diffusive, coarse granular and high expression of Pan-CK; 2. rare PD-L1 expression; 3. High rate of p53 expression and Rb deficiency 4. abundant genetic alterations are similar to LCNEC. All characteristics above deviated from traditional LCC, indicating they have the same origin as LCNEC. Furthermore, LCNEC could be genetically divided into two subtypes when we reclassified LCNEC-null as LCNEC, and the mutational type and prognosis differed significantly. Conclusions We consider that LCNEC-null should be reclassified as LCNEC based on analysis above. In addition, two genetic types of LCNEC with different prognosis also indicate two mechanism of tumour formation. Supplementary Information The online version contains supplementary material available at 10.1186/s13000-022-01204-9.
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Affiliation(s)
- Zuoyu Liang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Weiya Wang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Qianrong Hu
- West China School of Medicine, Sichuan University, Chengdu, China
| | - Ping Zhou
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Ying Zhang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Yuan Tang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Qian Wu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Yiyun Fu
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China
| | - Xue Li
- Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Yang Shao
- Nanjing Geneseeq Technology Inc, Nanjing, China
| | - Lili Jiang
- Department of Pathology, West China Hospital, Sichuan University, Chengdu, China.
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11
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Mittal P, Singh S, Sinha R, Shrivastava A, Singh A, Singh IK. Myeloid cell leukemia 1 (MCL-1): Structural characteristics and application in cancer therapy. Int J Biol Macromol 2021; 187:999-1018. [PMID: 34339789 DOI: 10.1016/j.ijbiomac.2021.07.166] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Revised: 07/24/2021] [Accepted: 07/26/2021] [Indexed: 12/20/2022]
Abstract
Apoptosis, a major hallmark of cancer cells, regulates cellular fate and homeostasis. BCL-2 (B-cell CLL/Lymphoma 2) protein family is popularly known to mediate the intrinsic mode of apoptosis, of which MCL-1 is a crucial member. Myeloid cell leukemia 1 (MCL-1) is an anti-apoptotic oncoprotein and one of the most investigated members of the BCL-2 family. It is commonly known to be genetically altered, aberrantly overexpressed, and primarily associated with drug resistance in various human cancers. Recent advancements in the development of selective MCL-1 inhibitors and evaluating their effectiveness in cancer treatment establish its popularity as a molecular target. The overall aim is the selective induction of apoptosis in cancer cells by using a single or combination of BCL-2 family inhibitors. Delineating the precise molecular mechanisms associated with MCL-1-mediated cancer progression will certainly improve the efficacy of clinical interventions aimed at MCL-1 and hence patient survival. This review is structured to highlight the structural characteristics of MCL-1, its specific interactions with NOXA, MCL-1-regulatory microRNAs, and at the same time focus on the emerging therapeutic strategies targeting our protein of interest (MCL-1), alone or in combination with other treatments.
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Affiliation(s)
- Pooja Mittal
- Molecular Biology Research Lab, Department of Zoology, Deshbandhu College, University of Delhi, Kalkaji, New Delhi 110019, India
| | - Sujata Singh
- Molecular Biology Research Lab, Department of Zoology, Deshbandhu College, University of Delhi, Kalkaji, New Delhi 110019, India
| | - Rajesh Sinha
- Department of Dermatology, University of Alabama, Birmingham 35205, United States of America
| | - Anju Shrivastava
- Department of Zoology, University of Delhi, New Delhi, 110007, India
| | - Archana Singh
- Department of Botany, Hans Raj College, University of Delhi, New Delhi 110007, India.
| | - Indrakant Kumar Singh
- Molecular Biology Research Lab, Department of Zoology, Deshbandhu College, University of Delhi, Kalkaji, New Delhi 110019, India.
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12
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Li H, Shan C, Wu S, Cheng B, Fan C, Cai L, Chen Y, Shi Y, Liu K, Shao Y, Zhu D, Li Z. Genomic Profiling Identified Novel Prognostic Biomarkers in Chinese Midline Glioma Patients. Front Oncol 2021; 10:607429. [PMID: 33747896 PMCID: PMC7968371 DOI: 10.3389/fonc.2020.607429] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Accepted: 11/26/2020] [Indexed: 12/21/2022] Open
Abstract
Background Molecular characteristics are essential for the classification and grading of gliomas. However, diagnostic classification of midline glioma is still debatable and substantial molecular and clinical heterogeneity within each subgroup suggested that they should be further stratified. Here, we studied the mutation landscape of Chinese midline glioma patients in hope to provide new insights for glioma prognosis and treatment. Methods Tissue samples from 112 midline glioma patients underwent next-generation sequencing targeting 425 cancer-relevant genes. Gene mutations and copy number variations were investigated for their somatic interactions and prognostic effect using overall survival data. Pathway-based survival analysis was performed for ten canonical oncogenic pathways. Results We identified several currently established diagnostic and prognostic biomarkers of glioma, including TP53 (33%), EGFR (26%), TERT (24%), PTEN (21%), PIK3CA (14%), ATRX (14%), BRAF (13%), and IDH1/2 (6%). Among all genetic aberrations with more than 5% occurrence rate, six mutations and three copy number gains were greatly associated with poor overall survival (univariate, P < 0.1). Of these, TERT mutations (hazard ratio [HR], 3.00; 95% confidence interval [CI], 1.37–6.61; P = 0.01) and PIK3CA mutations (HR, 2.04; 95% CI, 1.08–3.84; P = 0.02) remained significant in multivariate analyses. Additionally, we have also identified a novel MCL1 amplification (found in 31% patients) as a potential independent biomarker for glioma (multivariate HR, 2.78; 95% CI, 1.53–5.08; P < 0.001), which was seldom reported in public databases. Pathway analyses revealed significantly worse prognosis with abnormal PI3K (HR, 1.81; 95% CI, 1.12–2.95; P = 0.01) and cell cycle pathways (HR, 1.97; 95% CI, 1.15–3.37; P = 0.01), both of which stayed meaningful after multivariate adjustment. Conclusions In this study, we discovered shorter survival in midline glioma patients with PIK3CA and TERT mutations and with abnormal PI3K and cell cycle pathways. We also revealed a novel prognostic marker, MCL1 amplification that collectively provided new insights and opportunities in understanding and treating midline gliomas.
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Affiliation(s)
- Hainan Li
- Department of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Changguo Shan
- Department of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Shengnan Wu
- Department of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Baijie Cheng
- Department of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Chongzu Fan
- Department of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Linbo Cai
- Department of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Yedan Chen
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Yuqian Shi
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Kaihua Liu
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Yang Shao
- Medical Department, Nanjing Geneseeq Technology Inc., Nanjing, China
| | - Dan Zhu
- Department of Pathology, Guangdong Sanjiu Brain Hospital, Guangzhou, China
| | - Zhi Li
- Department of Pathology, Guangdong Provincial People's Hospital, Guangzhou, China
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Arulananda S, Lee EF, Fairlie WD, John T. The role of BCL-2 family proteins and therapeutic potential of BH3-mimetics in malignant pleural mesothelioma. Expert Rev Anticancer Ther 2020; 21:413-424. [PMID: 33238762 DOI: 10.1080/14737140.2021.1856660] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Introduction: With limited recent therapeutic changes, malignant pleural mesothelioma (MPM) is associated with poor survival and death within 12 months, making it one of the most lethal malignancies. Due to unregulated asbestos use in developing countries and home renovation exposures, cases of MPM are likely to present for decades. As MPM is largely driven by dysregulation of tumor suppressor genes, researchers have examined other mechanisms of subverting tumor proliferation and spread. Over-expression of pro-survival BCL-2 family proteins impairs cells from undergoing apoptosis, and BH3-mimetics targeting them are a novel treatment option across various cancers, though have not been widely investigated in MPM.Areas covered: This review provides an overview of MPM and its current treatment landscape. It summarizes the role of BCL-2 family proteins in tumorigenesis and the therapeutic potential of BH3-mimetics . Finally, it discusses the role of BCL-2 proteins in MPM and the pre-clinical rationale for investigating BH3-mimetics as a therapeutic strategy.Expert opinion: As a disease without readily actionable oncogene driver mutations and with modest benefit from immune checkpoint inhibition, novel therapeutic options are urgently needed for MPM. Hence, BH3-mimetics provide a promising treatment option, with evidence supporting dependence on pro-survival BCL-2 proteins for MPM cell survival.
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Affiliation(s)
- Surein Arulananda
- Department of Medical Oncology, Austin Health, Heidelberg, Australia.,Olivia Newton-John Cancer Research Institute, Heidelberg, Australia.,School of Cancer Medicine, La Trobe University, Heidelberg, Australia
| | - Erinna F Lee
- Olivia Newton-John Cancer Research Institute, Heidelberg, Australia.,School of Cancer Medicine, La Trobe University, Heidelberg, Australia.,Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Victoria, Australia
| | - W Douglas Fairlie
- Olivia Newton-John Cancer Research Institute, Heidelberg, Australia.,School of Cancer Medicine, La Trobe University, Heidelberg, Australia.,Department of Biochemistry and Genetics, La Trobe Institute for Molecular Science, La Trobe University, Victoria, Australia
| | - Thomas John
- Olivia Newton-John Cancer Research Institute, Heidelberg, Australia.,School of Cancer Medicine, La Trobe University, Heidelberg, Australia.,Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne, Australia
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Primary pulmonary lymphoepithelioma-like carcinoma is characterized by high PD-L1 expression, but low tumor mutation burden. Pathol Res Pract 2020; 216:153043. [PMID: 32703503 DOI: 10.1016/j.prp.2020.153043] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 05/15/2020] [Accepted: 05/31/2020] [Indexed: 02/05/2023]
Abstract
Primary pulmonary lymphoepithelioma-like carcinoma (PLELC) is a rare subtype of non-small cell lung cancer (NSCLC). There are few reported studies on the relationship between programmed death ligand-1 (PD-L1) expression and genomics features of this distinct NSCLC subtype. Our study aimed to investigate the expression levels of PD-L1 to determine their clinical value and to identify genetic alterations in PLELC. Fifty-nine PLELC patients, whose clinical information and pathology results were available, were included in this study. Immunohistochemical analysis of PD-L1 was performed in all cases. Specimens of 37 PLELCs and 3 metastatic nasopharyngeal carcinomas (NPCs) of the lung, resected within the previous 3 years, were chosen for mutation analysis, using next-generation sequencing of 425 genes. PLELC patients in the present study were mainly non-smoking females, with a high frequency of PD-L1 positivity in their tumors. Positivity rates were 96.6 %, 91.5 %, 83.1 %, and 61.0 % at tumor proportion scores (TPSs)≥ 1%, 5%, 10 %, and 50 %, respectively. Moreover, we observed that PD-L1 expression was higher in specimens stored for ≤ 3 years and in tumor cells with vesicular nucleus morphology at a TPS ≥ 50 %. Mutation analysis suggested a relatively high frequency of TP53 mutations and MCL1 copy number variation, but low tumor mutation burden (TMB) (ranging from 0 to 6.9, median of 1.1 mutation per megabase) and similarity of gene alteration with NPCs. However, no specific germline mutation was detected in PLELC patients. Additionally, survival analysis showed that patients in the early stages (stage I and II) had higher progression-free survival rates (P = 0.035) and those with tumors containing obvious stroma fibrosis tended to have worse prognosis (P = 0.008). However only stage was shown to be the independent prognostic factor (P = 0.008, HR=4.807, 95 %CI:1.508-15.323).PLELC is a subtype of lung cancer with distinct clinicopathological and genetic features, especially characterized by high PD-L1 expression and low TMB.
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15
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He J, Wu S, Li X, Tang L, Chen H, Qin L, Xie J, Lu T, Xu W. Tobramycin suppresses HUWE1 degradation to control MCL-1 stability during tumour development. Clin Exp Pharmacol Physiol 2020; 47:1600-1610. [PMID: 32378766 DOI: 10.1111/1440-1681.13335] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 04/30/2020] [Accepted: 05/01/2020] [Indexed: 01/23/2023]
Abstract
HUWE1 is an E3 ubiquitin ligase that is involved in cancer cell proliferation by regulating MCL-1 stability. The HECT domain has been shown to be required for the ubiquitin ligase activity of HUWE1. To identify efficient drugs that impair the activity of HUWE1, and thus decrease MCL-1 accumulation, we screened 2000 candidate compounds that might suppress HUWE1 activity. To evaluate these 2000 candidates, the HECT domain of HUWE1, which is the catalytic domain responsible for MCL1 ubiquitination, was selected as a conjugation site, and putative binding candidates were filtrated. Tobramycin emerged as one of the compounds that show efficient binding ability with the HECT domain of HUWE1. The surface plasmon resonance (SPR) results validated the specific binding of Tobramycin with the HECT domain. Subsequent analyses demonstrated its potential to inhibit cancer cell proliferation by binding to the HECT domain of HUWE1 and impeding the HUWE1-mediated ubiquitination of MCL-1. Consequently, the accumulation of MCL-1 inhibited the proliferation of tumour cells, while the apoptosis rates were not significantly altered after Tobramycin treatment. In vitro experiments showed that Tobramycin could inhibit cell proliferation by regulating the G2/M transition in cancer cell models, including A549 and HeLaCaco2 cell lines. Our results indicated that Tobramycin could be a potential new probe to develop targeted therapies for the prevention or treatment of HUWE1-overexpressing cancers.
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Affiliation(s)
- Jiabei He
- Joint Laboratory for Reproductive Medicine, SCU-CUHK, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Department of Obstetrics and Gynecology, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.,Reproductive Endocrinology and Regulation Joint Laboratory, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Sixian Wu
- Joint Laboratory for Reproductive Medicine, SCU-CUHK, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Department of Obstetrics and Gynecology, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.,West China School of Pharmacy, Sichuan University, Chengdu, China
| | - Xiaoliang Li
- Joint Laboratory for Reproductive Medicine, SCU-CUHK, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Department of Obstetrics and Gynecology, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.,Reproductive Endocrinology and Regulation Joint Laboratory, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Li Tang
- Joint Laboratory for Reproductive Medicine, SCU-CUHK, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Department of Obstetrics and Gynecology, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Hanxiao Chen
- Joint Laboratory for Reproductive Medicine, SCU-CUHK, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Department of Obstetrics and Gynecology, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Lang Qin
- Joint Laboratory for Reproductive Medicine, SCU-CUHK, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Department of Obstetrics and Gynecology, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Jiang Xie
- Joint Laboratory for Reproductive Medicine, SCU-CUHK, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Department of Obstetrics and Gynecology, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Tao Lu
- School of Bioscience and Technology, Chengdu Medical College, Chengdu, China
| | - Wenming Xu
- Joint Laboratory for Reproductive Medicine, SCU-CUHK, Key Laboratory of Obstetric & Gynecologic and Pediatric Diseases and Birth Defects, Department of Obstetrics and Gynecology, Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.,Reproductive Endocrinology and Regulation Joint Laboratory, West China Second University Hospital, Sichuan University, Chengdu, China
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16
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Cheng Y, Ma L, Liu Y, Zhu J, Xin Y, Liu X, Wang Y, Zhang T, Yang C, Wang S, Cui H, Zhang L, Dai J, Shao L, Lin J, Ye J, Liu H. Comprehensive characterization and clinical impact of concomitant genomic alterations in EGFR-mutant NSCLCs treated with EGFR kinase inhibitors. Lung Cancer 2020; 145:63-70. [PMID: 32408134 DOI: 10.1016/j.lungcan.2020.04.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2019] [Revised: 04/02/2020] [Accepted: 04/06/2020] [Indexed: 01/10/2023]
Abstract
OBJECTIVES Although the majority of epidermal growth factor receptor (EGFR)-mutant non-small cell lung cancer (NSCLC) patients respond to EGFR tyrosine kinase inhibitors (TKIs), significant heterogeneity in clinical response is observed which might be attributed to the distinct sub-molecular characteristics. The present study aims to identify genetic alterations correlated with clinical outcomes and treatment response to different EGFR-TKI inhibitors. MATERIALS AND METHODS We integrated the genomic data and clinical outcomes including progression-free survival (PFS) and overall survival (OS) in 179 patients with advanced EGFR-mutant NSCLC who were treated with EGFR-TKI as 1st line of treatment. RESULTS We found that EGFR-mutant patients harboring concomitant TP53 mutation (OS: 21 vs. 40 months, P = 0.05), ERBB2 amplification (PFS: 6.1 vs. 12.5 months, P = 0.01) or FGF19 amplification (OS: 11.2 vs. 27.1 months, P = 0.01) were significantly associated with a poorer clinical prognosis after treated with 1st generation EGFR-TKI. In contrast, the presence of TP53 mutation did not affect the PFS nor OS of patients treated with 2nd generation EGFR-TKI. Furthermore, EGFR-mutant and TP53-wild type (WT) patients benefited more from a combinatorial treatment consisting of EGFR-TKI and bevacizumab comparing to EGFR-TKI as a single agent (PFS: 21.7 vs. 9.3 months, P < 0.01). Copy number variation (CNV) (PFS: 4.6 vs.9.4 months, p = 0.018) was identified as an unfavorable predictive factor to 3rd-generation TKI. We also revealed distinct resistance mechanisms associated with different EGFR-TKIs. CONCLUSION Our study highlights the heterogeneity both in the primary molecular landscape and acquired alterations in EGFR-mutated NSCLCs, which might play a role in determining the clinical efficacy of EGFR-TKIs. We also revealed the differential prognostic role of TP53 mutation in patients treated with the 1st or 2nd generation of EGFR-TKI. Our study also suggests that EGFR-mutant and TP53-WT patients may benefit more from combinatorial treatment consisting of EGFR-TKI and bevacizumab, highlighting the importance of further stratifying EGFR-mutant patients.
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Affiliation(s)
- Ying Cheng
- Jilin Cancer Hospital, Changchun, China.
| | - Lixia Ma
- Jilin Cancer Hospital, Changchun, China
| | - Ying Liu
- Jilin Cancer Hospital, Changchun, China
| | - Jing Zhu
- Jilin Cancer Hospital, Changchun, China
| | - Ying Xin
- Jilin Cancer Hospital, Changchun, China
| | | | - Ying Wang
- Jilin Cancer Hospital, Changchun, China
| | | | | | | | | | | | - Jixin Dai
- Jilin Cancer Hospital, Changchun, China
| | - Lin Shao
- Burning Rock Biotech, Guangzhou, China
| | - Jing Lin
- Burning Rock Biotech, Guangzhou, China
| | - Junyi Ye
- Burning Rock Biotech, Guangzhou, China
| | - Hao Liu
- Burning Rock Biotech, Guangzhou, China
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17
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Liao Y, Ma Z, Zhang Y, Li D, Lv D, Chen Z, Li P, Ai-Dherasi A, Zheng F, Tian J, Zou K, Wang Y, Wang D, Cordova M, Zhou H, Li X, Liu D, Yu R, Zhang Q, Zhang X, Zhang J, Zhang X, Zhang X, Li Y, Shao Y, Song L, Liu R, Wang Y, Sufiyan S, Liu Q, Owen GI, Li Z, Chen J. Targeted deep sequencing from multiple sources demonstrates increased NOTCH1 alterations in lung cancer patient plasma. Cancer Med 2019; 8:5673-5686. [PMID: 31369215 PMCID: PMC6745866 DOI: 10.1002/cam4.2458] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Revised: 07/13/2019] [Accepted: 07/18/2019] [Indexed: 12/19/2022] Open
Abstract
Introduction Targeted therapies are based on specific gene alterations. Various specimen types have been used to determine gene alterations, however, no systemic comparisons have yet been made. Herein, we assessed alterations in selected cancer‐associated genes across varying sample sites in lung cancer patients. Materials and Methods Targeted deep sequencing for 48 tumor‐related genes was applied to 153 samples from 55 lung cancer patients obtained from six sources: Formalin‐fixed paraffin‐embedded (FFPE) tumor tissues, pleural effusion supernatant (PES) and pleural effusion cell sediments (PEC), white blood cells (WBCs), oral epithelial cells (OECs), and plasma. Results Mutations were detected in 96% (53/55) of the patients and in 83% (40/48) of the selected genes. Each sample type exhibited a characteristic mutational pattern. As anticipated, TP53 was the most affected sequence (54.5% patients), however this was followed by NOTCH1 (36%, across all sample types). EGFR was altered in patient samples at a frequency of 32.7% and KRAS 10.9%. This high EGFR/ low KRAS frequency is in accordance with other TCGA cohorts of Asian origin but differs from the Caucasian population where KRAS is the more dominant mutation. Additionally, 66% (31/47) of PEC samples had copy number variants (CNVs) in at least one gene. Unlike the concurrent loss and gain in most genes, herein NOTCH1 loss was identified in 21% patients, with no gain observed. Based on the relative prevalence of mutations and CNVs, we divided lung cancer patients into SNV‐dominated, CNV‐dominated, and codominated groups. Conclusions Our results confirm previous reports that EGFR mutations are more prevalent than KRAS in Chinese lung cancer patients. NOTCH1 gene alterations are more common than previously reported and reveals a role of NOTCH1 modifications in tumor metastasis. Furthermore, genetic material from malignant pleural effusion cell sediments may be a noninvasive manner to identify CNV and participate in treatment decisions.
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Affiliation(s)
- Yuwei Liao
- The Second Hospital of Dalian Medical University, Dalian, China.,Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Zhaokui Ma
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Yu Zhang
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Dan Li
- The Second Hospital of Dalian Medical University, Dalian, China
| | - Dekang Lv
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Zhisheng Chen
- The Second Hospital of Dalian Medical University, Dalian, China
| | - Peiying Li
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Aisha Ai-Dherasi
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Feng Zheng
- Advanced Institute for Medical Sciences, Dalian Medical University, Dalian, China
| | - Jichao Tian
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Kun Zou
- The First Affiliated Hospital of Dalian Medical University, Dalian, China
| | - Yue Wang
- The Second Hospital of Dalian Medical University, Dalian, China
| | - Dongxia Wang
- The Second Hospital of Dalian Medical University, Dalian, China
| | - Miguel Cordova
- Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Huan Zhou
- The Second Hospital of Dalian Medical University, Dalian, China
| | - Xiuhua Li
- The Second Hospital of Dalian Medical University, Dalian, China
| | - Dan Liu
- The Second Hospital of Dalian Medical University, Dalian, China
| | - Ruofei Yu
- The Second Hospital of Dalian Medical University, Dalian, China
| | - Qingzheng Zhang
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Xiaolong Zhang
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Jian Zhang
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Xuehong Zhang
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Xia Zhang
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Yulong Li
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Yanyan Shao
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Luyao Song
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Ruimei Liu
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Yichen Wang
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Sufiyan Sufiyan
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Quentin Liu
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China
| | - Gareth I Owen
- Faculty of Biological Sciences, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Zhiguang Li
- Center of Genome and Personalized Medicine, Institute of Cancer Stem Cell, Dalian Medical University, Dalian, China.,The Second Affiliated Hospital, School of Medicine, Zhengzhou University, Zhengzhou, China
| | - Jun Chen
- The Second Hospital of Dalian Medical University, Dalian, China
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Kabir S, Cidado J, Andersen C, Dick C, Lin PC, Mitros T, Ma H, Baik SH, Belmonte MA, Drew L, Corn JE. The CUL5 ubiquitin ligase complex mediates resistance to CDK9 and MCL1 inhibitors in lung cancer cells. eLife 2019; 8:44288. [PMID: 31294695 PMCID: PMC6701926 DOI: 10.7554/elife.44288] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2018] [Accepted: 07/05/2019] [Indexed: 12/22/2022] Open
Abstract
Overexpression of anti-apoptotic proteins MCL1 and Bcl-xL are frequently observed in many cancers. Inhibitors targeting MCL1 are in clinical development, however numerous cancer models are intrinsically resistant to this approach. To discover mechanisms underlying resistance to MCL1 inhibition, we performed multiple flow-cytometry based genome-wide CRISPR screens interrogating two drugs that directly (MCL1i) or indirectly (CDK9i) target MCL1. Remarkably, both screens identified three components (CUL5, RNF7 and UBE2F) of a cullin-RING ubiquitin ligase complex (CRL5) that resensitized cells to MCL1 inhibition. We find that levels of the BH3-only pro-apoptotic proteins Bim and Noxa are proteasomally regulated by the CRL5 complex. Accumulation of Noxa caused by depletion of CRL5 components was responsible for re-sensitization to CDK9 inhibitor, but not MCL1 inhibitor. Discovery of a novel role of CRL5 in apoptosis and resistance to multiple types of anticancer agents suggests the potential to improve combination treatments.
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Affiliation(s)
- Shaheen Kabir
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, United States.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States.,Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, United States
| | - Justin Cidado
- Bioscience Oncology, IMED Biotech Unit, AstraZeneca, Waltham, United States
| | - Courtney Andersen
- Bioscience Oncology, IMED Biotech Unit, AstraZeneca, Waltham, United States
| | - Cortni Dick
- Bioscience Oncology, IMED Biotech Unit, AstraZeneca, Waltham, United States
| | - Pei-Chun Lin
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, United States.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Therese Mitros
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, United States.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Hong Ma
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, United States.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Seung Hyun Baik
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, United States.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
| | - Matthew A Belmonte
- Bioscience Oncology, IMED Biotech Unit, AstraZeneca, Waltham, United States
| | - Lisa Drew
- Bioscience Oncology, IMED Biotech Unit, AstraZeneca, Waltham, United States
| | - Jacob E Corn
- Innovative Genomics Institute, University of California, Berkeley, Berkeley, United States.,Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
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Hsu FT, Liu HS, Ali AAA, Tsai PH, Kao YC, Lu CF, Huang HS, Chen CY. Assessing the selective therapeutic efficacy of superparamagnetic erlotinib nanoparticles in lung cancer by using quantitative magnetic resonance imaging and a nuclear factor kappa-B reporter gene system. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2018; 14:1019-1031. [PMID: 29391212 DOI: 10.1016/j.nano.2018.01.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 01/03/2018] [Accepted: 01/15/2018] [Indexed: 01/11/2023]
Abstract
Non-small-cell lung cancer (NSCLC) is the most common type of lung cancer. Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors are commonly used as the first-line treatment for advanced NSCLC; however, the efficacy of drug delivery remains unknown. Hence, we successfully developed erlotinib-conjugated iron oxide nanoparticles (FeDC-E NPs) as theranostic probe that can potentially provide a new avenue for monitoring drug delivering through noninvasive magnetic resonance imaging. MRI ΔR2* relaxivity measurements offer an opportunity to quantitatively evaluate the uptake of FeDC-E NPs at cellular and tumoral levels. Additionally, NF-κB reporter gene system provides NF-κB activation status monitoring to validate the therapeutic efficiency of FeDC-E NPs. FeDC-E NPs not only inhibit the tumor growth and NF-κB-modulated antiapoptotic mechanism but also trigger extrinsic and intrinsic apoptotic pathways. Taken together, dual functional FeDC-E NPs offer diagnostic and therapeutic benefits against lung cancers, indicating that our presented probe could be applied in clinical.
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Affiliation(s)
- Fei-Ting Hsu
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Translational Laboratory, Department of Medical Research, Taipei Medical University Hospital, Taipei, Taiwan
| | - Hua-Shan Liu
- School of Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan; International Ph.D. Program in Biomedical Engineering, College of Biomedical Engineering, Taipei Medical University, Taipei, Taiwan
| | - Ahmed Atef Ahmed Ali
- Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Translational Laboratory, Department of Medical Research, Taipei Medical University Hospital, Taipei, Taiwan; School of Pharmacy, National Defense Medical Center, Taipei, Taiwan
| | - Ping-Huei Tsai
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Yu-Chieh Kao
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chia-Feng Lu
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Hsu-Shan Huang
- School of Pharmacy, National Defense Medical Center, Taipei, Taiwan; Graduate Institute for Cancer Biology & Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taiwan
| | - Cheng-Yu Chen
- Department of Radiology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Department of Medical Imaging, Taipei Medical University Hospital, Taipei, Taiwan; Research Center of Translational Imaging, College of Medicine, Taipei Medical University, Taipei, Taiwan; Translational Laboratory, Department of Medical Research, Taipei Medical University Hospital, Taipei, Taiwan.
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20
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Xu C, Liu Y, Huang J, Wang H, Tan L, Xu Y, Jiang Z, Wang X, Hou Y, Jiang D, Wang Q. The prognostic significance of MCL1 copy number gain in esophageal squamous cell carcinoma. Oncotarget 2017; 8:87699-87709. [PMID: 29152113 PMCID: PMC5675665 DOI: 10.18632/oncotarget.21181] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2016] [Accepted: 08/26/2017] [Indexed: 11/25/2022] Open
Abstract
Background MCL1 copy number variations have been reported to be associated with cancer prognosis in several cancers. However, the role of MCL1 gain has not yet been determined in esophageal squamous cell carcinomas (ESCC). Methods Fluorescence in situ hybridization (FISH) for MCL1 was performed on 262 ESCC samples using tissue microarray (TMA). Results The median age of ESCC patients was 62 years (range 37-83), with frequencies between women (16.4%) and men (83.6%). Of the 262 tumors, 77 tumors (29.4%) had high MCL1 gain. In the multivariate analysis, lymph node metastasis (HR: 3.236, P<0.001 for DFS; HR: 3.501, P<0.001 for OS) and clinical stage (HR: 3.388, P<0.001 for DFS; HR: 3.616, P<0.001 for OS) were identified as independent worse prognostic factors. Interestingly, among patients without lymph node metastasis or stage I-II patients, high MCL1 gain was associated with better DFS (P=0.009 or 0.046) and OS (P=0.014 or 0.069) after disease free survival time was more than or equal to 12 months. Reversely, among patients with lymph node metastasis or stage III-IVa patients, high MCL1 gain was associated with poorer DFS (P=0.007 or 0.021) and OS (P=0.029 or 0.068) after disease free survival time was more than or equal to 29 months. Conclusion We observed that high MCL1 gain had bidirectional prognostic significance in ESCC patients with different lymph node status or clinical stage. These findings might provide the useful way of detailed risk stratification in patients with ESCC, and an insight into pathogenesis and mechanism of progression in ESCC.
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Affiliation(s)
- Chen Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Yalan Liu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Jie Huang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Hao Wang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Lijie Tan
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Yifan Xu
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Zhengzeng Jiang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Xin Wang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Yingyong Hou
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China.,Department of Pathology, School of Basic Medical Sciences & Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Dongxian Jiang
- Department of Pathology, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
| | - Qun Wang
- Department of Thoracic Surgery, Zhongshan Hospital, Fudan University, Shanghai 200032, P. R. China
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21
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Yin J, Li Y, Zhao H, Qin Q, Li X, Huang J, Shi Y, Gong S, Liu L, Fu X, Nie S, Wei S. Copy-number variation of MCL1 predicts overall survival of non-small-cell lung cancer in a Southern Chinese population. Cancer Med 2016; 5:2171-9. [PMID: 27264345 PMCID: PMC4898974 DOI: 10.1002/cam4.774] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2016] [Revised: 04/24/2016] [Accepted: 04/26/2016] [Indexed: 12/18/2022] Open
Abstract
BCL2L1 and MCL1 are key anti‐apoptotic genes, and critical for cancer progression. The prognostic values of BCL2L1 and MCL1 copy‐number variations (CNVs) in non‐small‐cell lung cancer (NSCLC) remain largely unknown. Somatic CNVs in BCL2L1 and MCL1 genes were tested in tumor tissues from 516 NSCLC patients in southern China; afterward, survival analyses were conducted with overall survival (OS) as outcome. Additionally, the associations between CNVs and mRNA expression levels were explored using data from 986 NSCLC patients in the Cancer Genome Atlas project. It was found that amplifications of BCL2L1 and MCL1 were associated with unfavorable OS of NSCLC, with adjusted hazards ratio of 1.62 (95% confident interval [CI] = 1.10–2.40; P = 0.015) and 1.39 (95% CI = 1.05–1.84; P = 0.020), respectively. Amplifications of MCL1, but not BCL2L1, were related with higher mRNA expression levels of corresponding gene, compared with non‐amplifications (P = 0.005). Interestingly, after incorporating with MCL1 CNV status, clinical variables (age, sex, TNM stage, and surgical approach) showed an improved discriminatory ability to classify OS (area under curve increased from 72.2% to 74.1%; P = 0.042, DeLong's test). Overall, MCL1 CNV might be a prognostic biomarker for NSCLC, and additional investigations are needed to validate our findings.
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Affiliation(s)
- Jieyun Yin
- Department of Epidemiology and Biostatistics and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Ren-ai Road Industrial Park District, Suzhou, China
| | - Yangkai Li
- Department of Thoracic Surgery, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Hao Zhao
- Department of Social Science and Public Health, School of Basic Medical Science, Jiujiang University, No. 17, Lufeng Road, Jiujiang, 332000, China
| | - Qin Qin
- Department of Epidemiology and Biostatistics and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaorong Li
- Department of Epidemiology and Biostatistics and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jiao Huang
- Department of Epidemiology and Biostatistics and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yun Shi
- Department of Epidemiology and Biostatistics and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shufang Gong
- Department of Thoracic Surgery, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Li Liu
- Department of Epidemiology and Biostatistics and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiangning Fu
- Department of Thoracic Surgery, Tongji Medical College, Tongji Hospital, Huazhong University of Science and Technology, Wuhan, China
| | - Shaofa Nie
- Department of Epidemiology and Biostatistics and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Sheng Wei
- Department of Epidemiology and Biostatistics and MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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