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Jin Q, Ren F, Song P. Innovate therapeutic targets for autoimmune diseases: insights from proteome-wide mendelian randomization and Bayesian colocalization. Autoimmunity 2024; 57:2330392. [PMID: 38515381 DOI: 10.1080/08916934.2024.2330392] [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: 11/23/2023] [Accepted: 03/10/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND Despite growing knowledge regarding the pathogenesis of autoimmune diseases (ADs) onset, the current treatment remains unsatisfactory. This study aimed to identify innovative therapeutic targets for ADs through various analytical approaches. RESEARCH DESIGN AND METHODS Utilizing Mendelian randomization, Bayesian co-localization, phenotype scanning, and protein-protein interaction network, we explored potential therapeutic targets for 14 ADs and externally validated our preliminary findings. RESULTS This study identified 12 circulating proteins as potential therapeutic targets for six ADs. Specifically, IL12B was judged to be a risk factor for ankylosing spondylitis (p = 1.61E - 07). TYMP (p = 6.28E - 06) was identified as a protective factor for ulcerative colitis. For Crohn's disease, ERAP2 (p = 4.47E - 14), HP (p = 2.08E - 05), and RSPO3 (p = 6.52E - 07), were identified as facilitators, whereas FLRT3 (p = 3.42E - 07) had a protective effect. In rheumatoid arthritis, SWAP70 (p = 3.26E - 10), SIGLEC6 (p = 2.47E - 05), ISG15 (p = 3.69E - 05), and FCRL3 (p = 1.10E - 10) were identified as risk factors. B4GALT1 (p = 6.59E - 05) was associated with a lower risk of Type 1 diabetes (T1D). Interestingly, CTSH was identified as a protective factor for narcolepsy (p = 1.58E - 09) but a risk factor for T1D (p = 7.36E - 11), respectively. External validation supported the associations of eight of these proteins with three ADs. CONCLUSIONS Our integrated study identified 12 potential therapeutic targets for ADs and provided novel insights into future drug development for ADs.
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Affiliation(s)
- Qiubai Jin
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Feihong Ren
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate school, Beijing University of Chinese Medicine, Beijing, China
| | - Ping Song
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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2
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Zhang J, Xu H, He Y, Zheng X, Lin T, Yang L, Tan P, Wei Q. Inhibition of KDM4A restricts SQLE transcription and induces oxidative stress imbalance to suppress bladder cancer. Redox Biol 2024; 77:103407. [PMID: 39461328 DOI: 10.1016/j.redox.2024.103407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2024] [Revised: 10/15/2024] [Accepted: 10/21/2024] [Indexed: 10/29/2024] Open
Abstract
In clinical practice, the limited efficacy of standard comprehensive therapy for advanced bladder cancer and the lack of targeted treatment options are well recognized. Targeting abnormal epigenetic modifications in tumors has shown considerable potential in cancer therapy. Through drug screening in tumor organoids, we identified that ML324, a histone lysine demethylase 4A (KDM4A) inhibitor, exhibits potent antitumor effects in both in vitro and in vivo cancer models. Mechanistically, Kdm4a demethylates H3K9me3, leading to chromatin opening and increased accessibility of Gabpa to the squalene epoxidase (Sqle) gene promoter, resulting in transcriptional activation. Inhibition of Kdm4a downregulates Sqle transcription, blocking cholesterol synthesis and causing squalene (SQA) accumulation. This process induces reactive oxygen species (ROS) clearance and suppresses JNK/c-Jun phosphorylation, ultimately inducing apoptosis. Furthermore, ML324 treatment significantly inhibited tumor growth in bladder cancer patient-derived xenograft (PDX) models. Our findings reveal the presence of a Kdm4a-Sqle-ROS-JNK/c-Jun signaling axis that regulates oxidative stress balance, offering a novel strategy for targeted therapy in bladder cancer.
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Affiliation(s)
- Jiapeng Zhang
- Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Urological and Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Hang Xu
- Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Urological and Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Yirui He
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaonan Zheng
- Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Urological and Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Tianhai Lin
- Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Urological and Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Lu Yang
- Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Urological and Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Ping Tan
- Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Urological and Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China
| | - Qiang Wei
- Department of Urology, Institute of Urology, Sichuan Clinical Research Center for Urological and Kidney Diseases, West China Hospital, Sichuan University, Chengdu, China.
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Wan X, Liu Y, Peng Y, Wang J, Yan SM, Zhang L, Wu W, Zhao L, Chen X, Ren K, Long H, Luo Y, Yan Q, Zhang L, Lei D, Liu P, Li S, Liu L, Guo L, Du J, Zhang M, Dai S, Yang Y, Liu H, Chen N, Bei J, Feng L, Liu Y, Zeng MS, Chen C, Zhong Q. Primary and Orthotopic Murine Models of Nasopharyngeal Carcinoma Reveal Molecular Mechanisms Underlying its Malignant Progression. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2403161. [PMID: 39049720 PMCID: PMC11423139 DOI: 10.1002/advs.202403161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 07/07/2024] [Indexed: 07/27/2024]
Abstract
Nasopharyngeal carcinoma (NPC), a squamous cell carcinoma originating in the nasopharynx, is a leading malignancy in south China and other south and east Asia areas. It is frequently associated with Epstein-Barr virus (EBV) infection, while there are also some NPC patients without EBV infection. Here, it is shown that the EBV+ (EBV positive) and EBV- (EBV negative) NPCs contain both shared and distinct genetic abnormalities, among the latter are increased mutations in TP53. To investigate the functional roles of NPC-associated genetic alterations, primary, orthotopic, and genetically defined NPC models were developed in mice, a key tool missed in the field. These models, initiated with gene-edited organoids of normal nasopharyngeal epithelium, faithfully recapitulated the pathological features of human disease. With these models, it is found that Trp53 and Cdkn2a deficiency are crucial for NPC initiation and progression. And latent membrane protein1 (LMP1), an EBV-coding oncoprotein, significantly promoted the distal metastasis. Further, loss of TGFBR2, which is frequently disrupted both in EBV- and EBV+ NPCs, dramatically accelerated the progression and lung metastasis of NPC probably by altering tumor microenvironment. Taken together, this work establishes a platform to dissect the genetic mechanisms underlying NPC pathogenesis and might be of value for future translational studies.
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Affiliation(s)
- Xudong Wan
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yuantao Liu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Yiman Peng
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Jian Wang
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Shu-Mei Yan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Lu Zhang
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Wanchun Wu
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Lei Zhao
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Xuelan Chen
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Kexin Ren
- Department of Otolaryngology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Haicheng Long
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yiling Luo
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Qin Yan
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Lele Zhang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Dengzhi Lei
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Pengpeng Liu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Shujun Li
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Lihui Liu
- Department of Otolaryngology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Linjie Guo
- Department of Gastroenterology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Jiajia Du
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Mengsha Zhang
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Siqi Dai
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Yi Yang
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Hongyu Liu
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Nianyong Chen
- Department of Otolaryngology, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Jinxin Bei
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Lin Feng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Yu Liu
- Department of Biotherapy, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
| | - Mu-Sheng Zeng
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
| | - Chong Chen
- Division of Thoracic Tumor Multimodality Treatment, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, China
- Frontiers Medical Center, Tianfu Jincheng Laboratory, Chengdu, Sichuan, 610212, China
| | - Qian Zhong
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Department of Experimental Research, Sun Yat-sen University Cancer Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, China
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Li W, Liu J, Yu T, Lu F, Miao Q, Meng X, Xiao W, Yang H, Zhang X. ZDHHC9-mediated Bip/GRP78 S-palmitoylation inhibits unfolded protein response and promotes bladder cancer progression. Cancer Lett 2024; 598:217118. [PMID: 39002690 DOI: 10.1016/j.canlet.2024.217118] [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: 01/09/2024] [Revised: 07/07/2024] [Accepted: 07/09/2024] [Indexed: 07/15/2024]
Abstract
Recent studies have highlighted palmitoylation, a novel protein post-translational modification, as a key player in various signaling pathways that contribute to tumorigenesis and drug resistance. Despite this, its role in bladder cancer (BCa) development remains inadequately understood. In this study, ZDHHC9 emerged as a significantly upregulated oncogene in BCa. Functionally, ZDHHC9 knockdown markedly inhibited tumor proliferation, promoted tumor cell apoptosis, and enhanced the efficacy of gemcitabine (GEM) and cisplatin (CDDP). Mechanistically, SP1 was found to transcriptionally activate ZDHHC9 expression. ZDHHC9 subsequently bound to and palmitoylated the Bip protein at cysteine 420 (Cys420), thereby inhibiting the unfolded protein response (UPR). This palmitoylation at Cys420 enhanced Bip's protein stability and preserved its localization within the endoplasmic reticulum (ER). ZDHHC9 might become a novel therapeutic target for BCa and could also contribute to combination therapy with GEM and CDDP.
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Affiliation(s)
- Weiquan Li
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, 518000, China
| | - Jingchong Liu
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, 518000, China
| | - Tiexi Yu
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, 518000, China
| | - Feiyi Lu
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, 518000, China
| | - Qi Miao
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, 518000, China
| | - Xiangui Meng
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, 518000, China.
| | - Wen Xiao
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, 518000, China.
| | - Hongmei Yang
- Department of Pathogenic Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030, China.
| | - Xiaoping Zhang
- Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China; Shenzhen Huazhong University of Science and Technology Research Institute, Shenzhen, 518000, China.
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5
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Lv J, Xu LX, Li ZX, Lin L, Wu CF, Quan TQ, Zhen ZC, Li WF, Tang LL, Mao YP, Chen L, Guo R, Zhang LL, Ai XL, Wu SY, Hao MY, Wei D, Li JB, Ma J, Chen YP, Zhou GQ, Sun Y. Longitudinal on-treatment circulating tumor DNA as a biomarker for real-time dynamic risk monitoring in cancer patients: The EP-SEASON study. Cancer Cell 2024; 42:1401-1414.e4. [PMID: 39059389 DOI: 10.1016/j.ccell.2024.07.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 06/04/2024] [Accepted: 07/01/2024] [Indexed: 07/28/2024]
Abstract
Recurrence risks of cancer patient can change during treatment as a result of treatment-related tumor evolution. However, biomarkers that can monitor these changes are lacking. Here, we investigated whether tracking circulating tumor DNA (ctDNA) dynamics through liquid biopsy can inform real-time recurrence risk. Nasopharyngeal carcinoma (NPC) provides an ideal model where cell-free Epstein-Barr virus (EBV) DNA (cfEBV DNA), a ctDNA, can be sensitively detected. We conducted the EP-SEASON study (NCT03855020) and prospectively recruited 1,000 NPC patients undergoing per-protocol cfEBV DNA assessments at 11 time points and receiving sequential chemo-radiotherapy. Longitudinal cfEBV DNA displayed distinct patterns during neoadjuvant chemotherapy and radiotherapy. Despite the prognostic significance of cfEBV DNA at each time point, real-time recurrence risks changed in sync with cfEBV DNA dynamics. Furthermore, we identified phenotypes of whole-course ctDNA changing dynamics associated with different survival outcomes. In conclusion, tracking longitudinal on-treatment ctDNA can forecast real-time recurrence risk, facilitating risk-adapted, individualized patient management.
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Affiliation(s)
- Jiawei Lv
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Ling-Xin Xu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Zhi-Xuan Li
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Li Lin
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Chen-Fei Wu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Ting-Qiu Quan
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Zi-Cheng Zhen
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Wen-Fei Li
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Ling-Long Tang
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Yan-Ping Mao
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Lei Chen
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Rui Guo
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Lu-Lu Zhang
- Department of Molecular Diagnostics, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Xin-Lei Ai
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Shi-Yue Wu
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Meng-Yu Hao
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Denghui Wei
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China
| | - Ji-Bin Li
- Clinical Trial Centre, Sun Yat-sen University Cancer Center, Guangzhou 510060, China
| | - Jun Ma
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China.
| | - Yu-Pei Chen
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China.
| | - Guan-Qun Zhou
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China.
| | - Ying Sun
- State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Department of Radiation Oncology, Guangzhou 510060, China.
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Grausenburger R, Herek P, Shariat SF, Englinger B. Recent contributions of single-cell and spatial profiling to the understanding of bladder cancer. Curr Opin Urol 2024; 34:236-243. [PMID: 38650456 PMCID: PMC11155276 DOI: 10.1097/mou.0000000000001183] [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] [Indexed: 04/25/2024]
Abstract
PURPOSE OF REVIEW Current risk stratification and treatment decision-making for bladder cancer informed by histopathology as well as molecular diagnostics face limitations. This review summarizes recent advancements in single-cell and spatial omics methodologies for understanding bladder cancer biology and their potential impact on development of novel therapeutic strategies. RECENT FINDINGS Single-cell RNA sequencing and spatial omics techniques offer unprecedented insights into various aspects of tumor microenvironment (TME), bladder cancer heterogeneity, cancer stemness, and cellular plasticity. Studies have identified multiple malignant cell subpopulations within tumors, revealing diverse transcriptional states and clonal evolution. Additionally, intratumor heterogeneity has been linked to tumor progression and therapeutic response. Immune cell composition analysis has revealed immunosuppressive features in the TME, impacting treatment response. Furthermore, studies have elucidated the role of cancer-associated fibroblasts and endothelial cells in shaping the tumor immune landscape and response to therapy. SUMMARY Single-cell and spatial omics technologies have revolutionized our understanding of bladder cancer biology, uncovering previously unseen complexities. These methodologies provide valuable insights into tumor heterogeneity and microenvironmental interactions, with implications for therapeutic development. However, challenges remain in translating research findings into clinical practice and implementing personalized treatment strategies. Continued interdisciplinary collaboration and innovation are essential for overcoming these challenges and leveraging the full potential of single-cell and spatial omics in improving bladder cancer diagnosis and treatment.
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Affiliation(s)
- Reinhard Grausenburger
- Department of Urology and Comprehensive Cancer Center
- Center for Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Paula Herek
- Department of Urology and Comprehensive Cancer Center
- Center for Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Shahrokh F. Shariat
- Department of Urology and Comprehensive Cancer Center
- Department of Urology, Weill Cornell Medical College, New York, New York
- Department of Urology, University of Texas Southwestern, Dallas, Texas, USA
- Department of Urology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
- Division of Urology, Department of Special Surgery, Jordan University Hospital, The University of Jordan, Amman, Jordan
- Research Center for Evidence Medicine, Urology Department, Tabriz University of Medical Sciences, Tabriz, Iran
- Karl Landsteiner Institute of Urology and Andrology, Vienna, Austria
| | - Bernhard Englinger
- Department of Urology and Comprehensive Cancer Center
- Center for Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
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7
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Nössing C, Herek P, Shariat SF, Berger W, Englinger B. Advances in preclinical assessment of therapeutic targets for bladder cancer precision medicine. Curr Opin Urol 2024; 34:251-257. [PMID: 38602053 PMCID: PMC11155291 DOI: 10.1097/mou.0000000000001177] [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] [Indexed: 04/12/2024]
Abstract
PURPOSE OF REVIEW Bladder cancer incidence is on the rise, and until recently, there has been little to no change in treatment regimens over the last 40 years. Hence, it is imperative to work on strategies and approaches to untangle the complexity of intra- and inter-tumour heterogeneity of bladder cancer with the aim of improving patient-specific care and treatment outcomes. The focus of this review is therefore to highlight novel targets, advances, and therapy approaches for bladder cancer patients. RECENT FINDINGS The success of combining an antibody-drug conjugate (ADC) with immunotherapy has been recently hailed as a game changer in treating bladder cancer patients. Hence, interest in other ADCs as a treatment option is also rife. Furthermore, strategies to overcome chemoresistance to standard therapy have been described recently. In addition, other studies showed that targeting genomic alterations (e.g. mutations in FGFR3 , DNA damage repair genes and loss of the Y chromosome) could also be helpful as prognostic and treatment stratification biomarkers. The use of single-cell RNA sequencing approaches has allowed better characterisation of the tumour microenvironment and subsequent identification of novel targets. Functional precision medicine could be another avenue to improve and guide personalized treatment options. SUMMARY Several novel preclinical targets and treatment options have been described recently. The validation of these advances will lead to the development and implementation of robust personalized treatment regimens for bladder cancer patients.
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Affiliation(s)
| | - Paula Herek
- Department of Urology, Comprehensive Cancer Center
- Center for Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Austria
| | - Shahrokh F. Shariat
- Department of Urology, Comprehensive Cancer Center
- Department of Urology, Weill Cornell Medical College, New York, New York
- Department of Urology, University of Texas Southwestern, Dallas, Texas, USA
- Department of Urology, Second Faculty of Medicine, Charles University, Prague, Czech Republic
- Institute for Urology, University of Jordan, Amman, Jordan
- Research center for Evidence Medicine, Urology Department, Tabriz University of Medical Sciences, Tabriz, Iran
- Karl Landsteiner Institute of Urology and Andrology, Vienna, Austria
| | - Walter Berger
- Center for Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Austria
| | - Bernhard Englinger
- Department of Urology, Comprehensive Cancer Center
- Center for Cancer Research and Comprehensive Cancer Center, Medical University of Vienna, Austria
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8
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Zhong C, Jiang WJ, Yao Y, Li Z, Li Y, Wang S, Wang X, Zhu W, Wu S, Wang J, Fan S, Ma S, Liu Y, Zhang H, Zhao W, Zhao L, Feng Y, Li Z, Guo R, Yu L, Pei F, Hu J, Feng X, Yang Z, Yang Z, Yang X, Hou Y, Zhang D, Xu D, Sheng R, Li Y, Liu L, Wu HJ, Huang J, Fei T. CRISPR screens reveal convergent targeting strategies against evolutionarily distinct chemoresistance in cancer. Nat Commun 2024; 15:5502. [PMID: 38951519 PMCID: PMC11217446 DOI: 10.1038/s41467-024-49673-4] [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: 01/17/2023] [Accepted: 06/17/2024] [Indexed: 07/03/2024] Open
Abstract
Resistance to chemotherapy has been a major hurdle that limits therapeutic benefits for many types of cancer. Here we systematically identify genetic drivers underlying chemoresistance by performing 30 genome-scale CRISPR knockout screens for seven chemotherapeutic agents in multiple cancer cells. Chemoresistance genes vary between conditions primarily due to distinct genetic background and mechanism of action of drugs, manifesting heterogeneous and multiplexed routes towards chemoresistance. By focusing on oxaliplatin and irinotecan resistance in colorectal cancer, we unravel that evolutionarily distinct chemoresistance can share consensus vulnerabilities identified by 26 second-round CRISPR screens with druggable gene library. We further pinpoint PLK4 as a therapeutic target to overcome oxaliplatin resistance in various models via genetic ablation or pharmacological inhibition, highlighting a single-agent strategy to antagonize evolutionarily distinct chemoresistance. Our study not only provides resources and insights into the molecular basis of chemoresistance, but also proposes potential biomarkers and therapeutic strategies against such resistance.
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Affiliation(s)
- Chunge Zhong
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
- Foshan Graduate School of Innovation, Northeastern University, Foshan, 528311, China
| | - Wen-Jie Jiang
- Peking University Third Hospital, Beijing, 100191, China
| | - Yingjia Yao
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Zexu Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - You Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Shengnan Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Xiaofeng Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Wenjuan Zhu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Siqi Wu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Jing Wang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Shuangshuang Fan
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Shixin Ma
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Yeshu Liu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Han Zhang
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Wenchang Zhao
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Lu Zhao
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Yi Feng
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Zihan Li
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China
| | - Ruifang Guo
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Li Yu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Fengyun Pei
- Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
| | - Jun Hu
- Clinical Research Center, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Institute of Gastroenterology, Guangzhou, China
| | - Xingzhi Feng
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Institute of Gastroenterology, Guangzhou, China
| | - Zihuan Yang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Guangdong Institute of Gastroenterology, Guangzhou, China
| | - Zhengjia Yang
- Department of Cardiothoracic Surgery, Jinqiu Hospital of Liaoning Province, Shenyang, China
| | - Xueying Yang
- Department of Thoracic Surgery, The Fourth Affiliated Hospital of China Medical University, Shenyang, China
| | - Yue Hou
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Danni Zhang
- Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education), School of Materials Science and Engineering, Northeastern University, Shenyang, China
| | - Dake Xu
- Key Laboratory for Anisotropy and Texture of Materials (Ministry of Education), School of Materials Science and Engineering, Northeastern University, Shenyang, China
| | - Ren Sheng
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Yihao Li
- BeiGene Institute, BeiGene (Shanghai) Research & Development Co., Ltd, 200131, Shanghai, China
| | - Lijun Liu
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China
| | - Hua-Jun Wu
- Key laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital & Institute, Beijing, 100142, China.
- Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, 100191, China.
- Center for Precision Medicine Multi-Omics Research, Institute of Advanced Clinical Medicine, Peking University, Beijing, 100191, China.
| | - Jun Huang
- Department of Colorectal Surgery, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Clinical Research Center, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, the Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
- Guangdong Institute of Gastroenterology, Guangzhou, China.
| | - Teng Fei
- Key Laboratory of Bioresource Research and Development of Liaoning Province, College of Life and Health Sciences, Northeastern University, Shenyang, 110819, China.
- National Frontiers Science Center for Industrial Intelligence and Systems Optimization, Northeastern University, Shenyang, 110819, China.
- Key Laboratory of Data Analytics and Optimization for Smart Industry (Northeastern University), Ministry of Education, Shenyang, 110819, China.
- Foshan Graduate School of Innovation, Northeastern University, Foshan, 528311, China.
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9
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Huang Y, Chen L, Zou Y, Yu H, Xie W, Gan Q, Yao Y, Liao C, Zheng J, Kong J, Lin T. Bibliometric insights into drug resistance in bladder cancer: Two decades of progress (1999-2022). Heliyon 2024; 10:e31587. [PMID: 38841471 PMCID: PMC11152674 DOI: 10.1016/j.heliyon.2024.e31587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 05/17/2024] [Accepted: 05/20/2024] [Indexed: 06/07/2024] Open
Abstract
Aims To provide a comprehensive bibliometric overview of drug resistance in bladder cancer (BC) from 1999 to 2022, aiming to illuminate its historical progression and guide future investigative avenues. Methods Literature on BC drug resistance between 1999 and 2022 was sourced from the Web of Science. Visual analyses were executed using Vosviewer and Citespace software, focusing on contributions by countries, institutions, journals, authors, references, and keywords. Results From 2727 publications, a marked growth in BC drug resistance studies was discerned over the two decades. Prominent among all institutions is the University of Texas System. The majority of top-ranked journals were American. In authorship significance, McConkey DJ led in publications, while Bellmunt J dominated in citations. Research topics predominantly spanned cancer demographics, drug efficacy evaluations, molecular features, oncology subtypes, and individualized treatment strategies, with a notable contemporary emphasis on molecular mechanisms behind drug resistance and nuances of ICIs. Conclusions Our bibliometric analysis charts the landscape of BC drug resistance research from 1999 to 2022. While the study of resistance mechanisms has been robust, there's an evident need for deeper exploration into the molecular intricacies and the potential of ICIs and targeted therapeutic strategies.
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Affiliation(s)
- Yi Huang
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
| | - Ligang Chen
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
| | - Yitong Zou
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
| | - Hao Yu
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
| | - Weibin Xie
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
| | - Qinghua Gan
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
| | - Yuhui Yao
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
| | - Chengxiao Liao
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
| | - Junjiong Zheng
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
| | - jianqiu Kong
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
| | - Tianxin Lin
- Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, Guangdong, PR China
- Guangdong Provincial Clinical Research Center for Urological Diseases, PR China
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Abstract
All cancers arise from normal cells whose progeny acquire the cancer-initiating mutations and epigenetic modifications leading to frank tumorigenesis. The identity of those "cells-of-origin" has historically been a source of controversy across tumor types, as it has not been possible to witness the dynamic events giving rise to human tumors. Genetically engineered mouse models (GEMMs) of cancer provide an invaluable substitute, enabling researchers to interrogate the competence of various naive cellular compartments to initiate tumors in vivo. Researchers using these models have relied on lineage-specific promoters, knowledge of preneoplastic disease states in humans, and technical advances allowing more precise manipulations of the mouse germline. These approaches have given rise to the emerging view that multiple lineages within a given organ may generate tumors with similar histopathology. Here, we review some of the key studies leading to this conclusion in solid tumors and highlight the biological and clinical ramifications.
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Affiliation(s)
- Jason R Pitarresi
- Division of Hematology and Oncology, Department of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01655, USA
- Department of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, Massachusetts 01655, USA
| | - Ben Z Stanger
- Division of Gastroenterology, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104, USA
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11
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An M, Mehta A, Min BH, Heo YJ, Wright SJ, Parikh M, Bi L, Lee H, Kim TJ, Lee SY, Moon J, Park RJ, Strickland MR, Park WY, Kang WK, Kim KM, Kim ST, Klempner SJ, Lee J. Early Immune Remodeling Steers Clinical Response to First-Line Chemoimmunotherapy in Advanced Gastric Cancer. Cancer Discov 2024; 14:766-785. [PMID: 38319303 PMCID: PMC11061611 DOI: 10.1158/2159-8290.cd-23-0857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Revised: 11/28/2023] [Accepted: 02/02/2024] [Indexed: 02/07/2024]
Abstract
Adding anti-programmed cell death protein 1 (anti-PD-1) to 5-fluorouracil (5-FU)/platinum improves survival in some advanced gastroesophageal adenocarcinomas (GEA). To understand the effects of chemotherapy and immunotherapy, we conducted a phase II first-line trial (n = 47) sequentially adding pembrolizumab to 5-FU/platinum in advanced GEA. Using serial biopsy of the primary tumor at baseline, after one cycle of 5-FU/platinum, and after the addition of pembrolizumab, we transcriptionally profiled 358,067 single cells to identify evolving multicellular tumor microenvironment (TME) networks. Chemotherapy induced early on-treatment multicellular hubs with tumor-reactive T-cell and M1-like macrophage interactions in slow progressors. Faster progression featured increased MUC5A and MSLN containing treatment resistance programs in tumor cells and M2-like macrophages with immunosuppressive stromal interactions. After pembrolizumab, we observed increased CD8 T-cell infiltration and development of an immunity hub involving tumor-reactive CXCL13 T-cell program and epithelial interferon-stimulated gene programs. Strategies to drive increases in antitumor immune hub formation could expand the portion of patients benefiting from anti-PD-1 approaches. SIGNIFICANCE The benefit of 5-FU/platinum with anti-PD-1 in first-line advanced gastric cancer is limited to patient subgroups. Using a trial with sequential anti-PD-1, we show coordinated induction of multicellular TME hubs informs the ability of anti-PD-1 to potentiate T cell-driven responses. Differential TME hub development highlights features that underlie clinical outcomes. This article is featured in Selected Articles from This Issue, p. 695.
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Affiliation(s)
- Minae An
- Experimental Therapeutics Development Center, Samsung Medical Center, Seoul, Korea
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Arnav Mehta
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Division of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Byung Hoon Min
- Department of Medicine, Division of Gastroenterology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | | | - Samuel J. Wright
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Milan Parikh
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Division of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Lynn Bi
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Medicine, Division of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Hyuk Lee
- Department of Medicine, Division of Gastroenterology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Tae Jun Kim
- Department of Medicine, Division of Gastroenterology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Song-Yi Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jeonghyeon Moon
- Departments of Neurology and Immunology, Yale School of Medicine, New Haven, Connecticut
| | - Ryan J. Park
- The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Division of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts
| | - Matthew R. Strickland
- Department of Medicine, Division of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | | | - Won Ki Kang
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seung Tae Kim
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Samuel J. Klempner
- Department of Medicine, Division of Hematology-Oncology, Massachusetts General Hospital, Boston, Massachusetts
- Harvard Medical School, Boston, Massachusetts
| | - Jeeyun Lee
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
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12
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Feng J, Wang ZX, Bin JL, Chen YX, Ma J, Deng JH, Huang XW, Zhou J, Lu GD. Pharmacological approaches for targeting lysosomes to induce ferroptotic cell death in cancer. Cancer Lett 2024; 587:216728. [PMID: 38431036 DOI: 10.1016/j.canlet.2024.216728] [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: 11/30/2023] [Revised: 01/25/2024] [Accepted: 02/10/2024] [Indexed: 03/05/2024]
Abstract
Lysosomes are crucial organelles responsible for the degradation of cytosolic materials and bulky organelles, thereby facilitating nutrient recycling and cell survival. However, lysosome also acts as an executioner of cell death, including ferroptosis, a distinctive form of regulated cell death that hinges on iron-dependent phospholipid peroxidation. The initiation of ferroptosis necessitates three key components: substrates (membrane phospholipids enriched with polyunsaturated fatty acids), triggers (redox-active irons), and compromised defence mechanisms (GPX4-dependent and -independent antioxidant systems). Notably, iron assumes a pivotal role in ferroptotic cell death, particularly in the context of cancer, where iron and oncogenic signaling pathways reciprocally reinforce each other. Given the lysosomes' central role in iron metabolism, various strategies have been devised to harness lysosome-mediated iron metabolism to induce ferroptosis. These include the re-mobilization of iron from intracellular storage sites such as ferritin complex and mitochondria through ferritinophagy and mitophagy, respectively. Additionally, transcriptional regulation of lysosomal and autophagy genes by TFEB enhances lysosomal function. Moreover, the induction of lysosomal iron overload can lead to lysosomal membrane permeabilization and subsequent cell death. Extensive screening and individually studies have explored pharmacological interventions using clinically available drugs and phytochemical agents. Furthermore, a drug delivery system involving ferritin-coated nanoparticles has been specifically tailored to target cancer cells overexpressing TFRC. With the rapid advancements in understandings the mechanistic underpinnings of ferroptosis and iron metabolism, it is increasingly evident that lysosomes represent a promising target for inducing ferroptosis and combating cancer.
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Affiliation(s)
- Ji Feng
- School of Public Health, Fudan University, Shanghai, 200032, PR China; Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, Guangxi Province, 530021, PR China
| | - Zi-Xuan Wang
- Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, Guangxi Province, 530021, PR China; School of Traditional Chinese Medicine, Capital Medical University, Beijing, 100069, PR China
| | - Jin-Lian Bin
- Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, Guangxi Province, 530021, PR China
| | - Yong-Xin Chen
- Department of Physiology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi Province, 530021, PR China; Department of Physiology, School of Preclinical Medicine, Guangxi University of Chinese Medicine, Nanning, Guangxi Province, 530200, PR China
| | - Jing Ma
- Department of Physiology, School of Preclinical Medicine, Guangxi University of Chinese Medicine, Nanning, Guangxi Province, 530200, PR China
| | - Jing-Huan Deng
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control of Highly Prevalent Diseases, School of Public Health, Guangxi Medical University, Nanning, Guangxi, 530021, PR China
| | - Xiao-Wei Huang
- Department of Toxicology, School of Public Health, Guangxi Medical University, Nanning, Guangxi Province, 530021, PR China
| | - Jing Zhou
- Department of Physiology, School of Preclinical Medicine, Guangxi Medical University, Nanning, Guangxi Province, 530021, PR China.
| | - Guo-Dong Lu
- School of Public Health, Fudan University, Shanghai, 200032, PR China; Key Laboratory of Early Prevention and Treatment for Regional High Frequency Tumor (Guangxi Medical University), Ministry of Education, Guangxi Key Laboratory of High-Incidence-Tumor Prevention & Treatment (Guangxi Medical University), Nanning, Guangxi Province, 530021, PR China.
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13
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Cao P, Chen M, Zhang T, Zheng Q, Liu M. A sialyltransferases-related gene signature serves as a potential predictor of prognosis and therapeutic response for bladder cancer. Eur J Med Res 2023; 28:515. [PMID: 37968767 PMCID: PMC10647093 DOI: 10.1186/s40001-023-01496-7] [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: 09/12/2023] [Accepted: 11/02/2023] [Indexed: 11/17/2023] Open
Abstract
BACKGROUND Aberrant glycosylation, catalyzed by the specific glycosyltransferase, is one of the dominant features of cancers. Among the glycosyltransferase subfamilies, sialyltransferases (SiaTs) are an essential part which has close linkages with tumor-associated events, such as tumor growth, metastasis and angiogenesis. Considering the relationship between SiaTs and cancer, the current study attempted to establish an effective prognostic model with SiaTs-related genes (SRGs) to predict patients' outcome and therapeutic responsiveness of bladder cancer. METHODS RNA-seq data, clinical information and genomic mutation data were downloaded (TCGA-BLCA and GSE13507 datasets). The comprehensive landscape of the 20 SiaTs was analyzed, and the differentially expressed SiaTs-related genes were screened with "DESeq2" R package. ConsensusClusterPlus was applied for clustering, following with survival analysis with Kaplan-Meier curve. The overall survival related SRGs were determined with univariate Cox proportional hazards regression analysis, and the least absolute shrinkage and selection operator (LASSO) regression analysis was performed to generate a SRGs-related prognostic model. The predictive value was estimated with Kaplan-Meier plot and the receiver operating characteristic (ROC) curve, which was further validated with the constructed nomogram and decision curve. RESULTS In bladder cancer tissues, 17 out of the 20 SiaTs were differentially expressed with CNV changes and somatic mutations. Two SiaTs_Clusters were determined based on the expression of the 20 SiaTs, and two gene_Clusters were identified based on the expression of differentially expressed genes between SiaTs_Clusters. The SRGs-related prognostic model was generated with 7 key genes (CD109, TEAD4, FN1, TM4SF1, CDCA7L, ATOH8 and GZMA), and the accuracy for outcome prediction was validated with ROC curve and a constructed nomogram. The SRGs-related prognostic signature could separate patients into high- and low-risk group, where the high-risk group showed poorer outcome, more abundant immune infiltration, and higher expression of immune checkpoint genes. In addition, the risk score derived from the SRGs-related prognostic model could be utilized as a predictor to evaluate the responsiveness of patients to the medical therapies. CONCLUSIONS The SRGs-related prognostic signature could potentially aid in the prediction of the survival outcome and therapy response for patients with bladder cancer, contributing to the development of personalized treatment and appropriate medical decisions.
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Affiliation(s)
- Penglong Cao
- Department of Clinical Laboratory, First Affiliated Hospital of Dalian Medical University, No. 222 Zhongshan Road, Dalian, 116011, Liaoning, China
| | - Mingying Chen
- Department of Clinical Laboratory, First Affiliated Hospital of Dalian Medical University, No. 222 Zhongshan Road, Dalian, 116011, Liaoning, China
| | - Tianya Zhang
- Department of Clinical Laboratory, First Affiliated Hospital of Dalian Medical University, No. 222 Zhongshan Road, Dalian, 116011, Liaoning, China
| | - Qin Zheng
- Department of Biochemistry and Molecular Biology, Liaoning Provincial Core Lab of Glycobiology and Glycoengineering, College of Basic Medical Science, Dalian Medical University, 9 West Section, Lvshun South Road, Dalian, 116044, Liaoning, China.
| | - Mulin Liu
- Department of Clinical Laboratory, First Affiliated Hospital of Dalian Medical University, No. 222 Zhongshan Road, Dalian, 116011, Liaoning, China.
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14
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Cammareri P, Myant KB. Be like water, my cells: cell plasticity and the art of transformation. Front Cell Dev Biol 2023; 11:1272730. [PMID: 37886398 PMCID: PMC10598658 DOI: 10.3389/fcell.2023.1272730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 09/28/2023] [Indexed: 10/28/2023] Open
Abstract
Cellular plasticity defines the capacity of cells to adopt distinct identities during development, tissue homeostasis and regeneration. Dynamic fluctuations between different states, within or across lineages, are regulated by changes in chromatin accessibility and in gene expression. When deregulated, cellular plasticity can contribute to cancer initiation and progression. Cancer cells are remarkably plastic which contributes to phenotypic and functional heterogeneity within tumours as well as resistance to targeted therapies. It is for these reasons that the scientific community has become increasingly interested in understanding the molecular mechanisms governing cancer cell plasticity. The purpose of this mini-review is to discuss different examples of cellular plasticity associated with metaplasia and epithelial-mesenchymal transition with a focus on therapy resistance.
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Affiliation(s)
| | - Kevin B. Myant
- Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, The University of Edinburgh, Edinburgh, United Kingdom
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15
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Davies A, Zoubeidi A, Beltran H, Selth LA. The Transcriptional and Epigenetic Landscape of Cancer Cell Lineage Plasticity. Cancer Discov 2023; 13:1771-1788. [PMID: 37470668 PMCID: PMC10527883 DOI: 10.1158/2159-8290.cd-23-0225] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 04/25/2023] [Accepted: 06/09/2023] [Indexed: 07/21/2023]
Abstract
Lineage plasticity, a process whereby cells change their phenotype to take on a different molecular and/or histologic identity, is a key driver of cancer progression and therapy resistance. Although underlying genetic changes within the tumor can enhance lineage plasticity, it is predominantly a dynamic process controlled by transcriptional and epigenetic dysregulation. This review explores the transcriptional and epigenetic regulators of lineage plasticity and their interplay with other features of malignancy, such as dysregulated metabolism, the tumor microenvironment, and immune evasion. We also discuss strategies for the detection and treatment of highly plastic tumors. SIGNIFICANCE Lineage plasticity is a hallmark of cancer and a critical facilitator of other oncogenic features such as metastasis, therapy resistance, dysregulated metabolism, and immune evasion. It is essential that the molecular mechanisms of lineage plasticity are elucidated to enable the development of strategies to effectively target this phenomenon. In this review, we describe key transcriptional and epigenetic regulators of cancer cell plasticity, in the process highlighting therapeutic approaches that may be harnessed for patient benefit.
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Affiliation(s)
- Alastair Davies
- Oncology Research Discovery, Pfizer Worldwide Research and Development, San Diego, CA, USA
| | - Amina Zoubeidi
- Department of Urologic Sciences, University of British Columbia, Vancouver, British Columbia, Canada
- Vancouver Prostate Centre, Vancouver, British Columbia, Canada
| | - Himisha Beltran
- Department of Medical Oncology, Dana Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Luke A. Selth
- Flinders Health and Medical Research Institute and Freemasons Centre for Male Health and Wellbeing, Flinders University, Bedford Park, South Australia, 5042 Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, South Australia, 5005 Australia
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16
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Chen J, Dai S, Zhao L, Peng Y, Sun C, Peng H, Zhong Q, Quan Y, Li Y, Chen X, Pan X, Zhong A, Wang M, Zhang M, Yang S, Lu Y, Lian Z, Liu Y, Zhou S, Li Z, Na F, Chen C. A New Type of Endometrial Cancer Models in Mice Revealing the Functional Roles of Genetic Drivers and Exploring their Susceptibilities. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2300383. [PMID: 37340596 PMCID: PMC10460855 DOI: 10.1002/advs.202300383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Revised: 04/12/2023] [Indexed: 06/22/2023]
Abstract
Endometrial cancer (EC) is the most common female reproductive tract cancer and its incidence has been continuously increasing in recent years. The underlying mechanisms of EC tumorigenesis remain unclear, and efficient target therapies are lacking, for both of which feasible endometrial cancer animal models are essential but currently limited. Here, an organoid and genome editing-based strategy to generate primary, orthotopic, and driver-defined ECs in mice is reported. These models faithfully recapitulate the molecular and pathohistological characteristics of human diseases. The authors names these models and similar models for other cancers as organoid-initiated precision cancer models (OPCMs). Importantly, this approach can conveniently introduce any driver mutation or a combination of driver mutations. Using these models,it is shown that the mutations in Pik3ca and Pik3r1 cooperate with Pten loss to promote endometrial adenocarcinoma in mice. In contrast, the Kras G12D mutati led to endometrial squamous cell carcinoma. Then, tumor organoids are derived from these mouse EC models and performed high-throughput drug screening and validation. The results reveal distinct vulnerabilities of ECs with different mutations. Taken together, this study develops a multiplexing approach to model EC in mice and demonstrates its value for understanding the pathology of and exploring the potential treatments for this malignancy.
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Affiliation(s)
- Jingyao Chen
- Precision Medicine Research CenterState Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Siqi Dai
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Lei Zhao
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Yiman Peng
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Chongen Sun
- West China Second HospitalSichuan UniversityChengdu610041China
| | - Hongling Peng
- West China Second HospitalSichuan UniversityChengdu610041China
| | - Qian Zhong
- West China Second HospitalSichuan UniversityChengdu610041China
| | - Yuan Quan
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Yue Li
- Department of DermatologyState Key Laboratory of Biotherapy and Cancer CenterNational Clinical Research Center for GeriatricsWest China HospitalSichuan UniversityChengdu610041China
| | - Xuelan Chen
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Xiangyu Pan
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Ailing Zhong
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Manli Wang
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Mengsha Zhang
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Shengyong Yang
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - You Lu
- Division of Thoracic Tumor Multimodality TreatmentCancer CenterWest China HospitalSichuan UniversityChengdu610041China
- Laboratory of Clinical Cell Therapy, West China HospitalSichuan UniversityChengdu610041China
| | - Zhong Lian
- Department of DermatologyState Key Laboratory of Biotherapy and Cancer CenterNational Clinical Research Center for GeriatricsWest China HospitalSichuan UniversityChengdu610041China
| | - Yu Liu
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Shengtao Zhou
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
- West China Second HospitalSichuan UniversityChengdu610041China
| | - Zhengyu Li
- West China Second HospitalSichuan UniversityChengdu610041China
| | - Feifei Na
- Division of Thoracic Tumor Multimodality TreatmentCancer CenterWest China HospitalSichuan UniversityChengdu610041China
| | - Chong Chen
- Precision Medicine Research CenterState Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
- State Key Laboratory of Biotherapy and Cancer CenterWest China HospitalSichuan UniversityChengdu610041China
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17
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Mehus AA, Jones M, Trahan M, Kinnunen K, Berwald K, Lindner B, Al-Marsoummi S, Zhou XD, Garrett SH, Sens DA, Sens MA, Somji S. Pevonedistat Inhibits SOX2 Expression and Sphere Formation but Also Drives the Induction of Terminal Differentiation Markers and Apoptosis within Arsenite-Transformed Urothelial Cells. Int J Mol Sci 2023; 24:9149. [PMID: 37298099 PMCID: PMC10252886 DOI: 10.3390/ijms24119149] [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: 05/05/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 06/12/2023] Open
Abstract
Urothelial cancer (UC) is a common malignancy and its development is associated with arsenic exposure. Around 25% of diagnosed UC cases are muscle invasive (MIUC) and are frequently associated with squamous differentiation. These patients commonly develop cisplatin (CIS) resistance and have poor prognosis. SOX2 expression is correlated to reduced overall and disease-free survival in UC. SOX2 drives malignant stemness and proliferation in UC cells and is associated with development of CIS resistance. Using quantitative proteomics, we identified that SOX2 was overexpressed in three arsenite (As3+)-transformed UROtsa cell lines. We hypothesized that inhibition of SOX2 would reduce stemness and increase sensitivity to CIS in the As3+-transformed cells. Pevonedistat (PVD) is a neddylation inhibitor and is a potent inhibitor of SOX2. We treated non-transformed parent and As3+-transformed cells with PVD, CIS, or in combination and monitored cell growth, sphere forming abilities, apoptosis, and gene/protein expression. PVD treatment alone caused morphological changes, reduced cell growth, attenuated sphere formation, induced apoptosis, and elevated the expression of terminal differentiation markers. However, the combined treatment of PVD with CIS significantly elevated the expression of terminal differentiation markers and eventually led to more cell death than either solo treatment. Aside from a reduced proliferation rate, these effects were not seen in the parent. Further research is needed to explore the potential use of PVD with CIS as a differentiation therapy or alternative treatment for MIUC tumors that may have become resistant to CIS.
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Affiliation(s)
- Aaron A. Mehus
- Department of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND 58202, USA; (M.J.); (M.T.); (K.K.); (K.B.); (B.L.); (S.A.-M.); (X.D.Z.); (S.H.G.); (D.A.S.); (M.A.S.); (S.S.)
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18
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Sanya DRA, Onésime D. Roles of non-coding RNAs in the metabolism and pathogenesis of bladder cancer. Hum Cell 2023:10.1007/s13577-023-00915-5. [PMID: 37209205 DOI: 10.1007/s13577-023-00915-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 05/07/2023] [Indexed: 05/22/2023]
Abstract
Bladder cancer (BC) is featured as the second most common malignancy of the urinary tract worldwide with few treatments leading to high incidence and mortality. It stayed a virtually intractable disease, and efforts to identify innovative and effective therapies are urgently needed. At present, more and more evidence shows the importance of non-coding RNA (ncRNA) for disease-related study, diagnosis, and treatment of diverse types of malignancies. Recent evidence suggests that dysregulated functions of ncRNAs are closely associated with the pathogenesis of numerous cancers including BC. The detailed mechanisms underlying the dysregulated role of ncRNAs in cancer progression are still not fully understood. This review mainly summarizes recent findings on regulatory mechanisms of the ncRNAs, long non-coding RNAs, microRNAs, and circular RNAs, in cancer progression or suppression and focuses on the predictive values of ncRNAs-related signatures in BC clinical outcomes. A deeper understanding of the ncRNA interactive network could be compelling framework for developing biomarker-guided clinical trials.
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Affiliation(s)
- Daniel Ruben Akiola Sanya
- Micalis Institute, Diversité génomique et fonctionnelle des levures, domaine de Vilvert, Université Paris-Saclay, INRAE, AgroParisTech, 78350, Jouy-en-Josas, France.
| | - Djamila Onésime
- Micalis Institute, Diversité génomique et fonctionnelle des levures, domaine de Vilvert, Université Paris-Saclay, INRAE, AgroParisTech, 78350, Jouy-en-Josas, France
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19
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Wang Y, Zhao J, Gu Y, Wang H, Jiang M, Zhao S, Qing H, Ni J. Cathepsin H: molecular characteristics and clues to function and mechanism. Biochem Pharmacol 2023; 212:115585. [PMID: 37148981 DOI: 10.1016/j.bcp.2023.115585] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 04/26/2023] [Accepted: 04/28/2023] [Indexed: 05/08/2023]
Abstract
Cathepsin H (CatH) is a lysosomal cysteine protease with a unique aminopeptidase activity that is extensively expressed in the lung, pancreas, thymus, kidney, liver, skin, and brain. Owing to its specific enzymatic activity, CatH has critical effects on the regulation of biological behaviours of cancer cells and pathological processes in brain diseases. Moreover, a neutral pH level is optimal for CatH activity, so it is expected to be active in the extra-lysosomal and extracellular space. In the present review, we describe the expression, maturation, and enzymatic properties of CatH, and summarize the available experimental evidence that mechanistically links CatH to various physiological and pathological processes. Finally, we discuss the challenges and potentials of CatH inhibitors in CatH-induced disease therapy.
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Affiliation(s)
- Yanfeng Wang
- Key Laboratory of Molecular Medicine and Biotherapy, Department of Biology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Juan Zhao
- Key Laboratory of Molecular Medicine and Biotherapy, Department of Biology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China; Aerospace Medical Center, Aerospace Center Hospital, Beijing, 100081, China
| | - Yebo Gu
- Department of Stomatology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, China
| | - Haiping Wang
- School of Pharmaceutical Science, Nanjing Tech University, Nanjing, China
| | - Muzhou Jiang
- Department of Periodontics, Liaoning Provincial Key Laboratory of Oral Diseases, School and Hospital of Stomatology, China Medical University, Shenyang, 110002, China
| | - Shuxuan Zhao
- Key Laboratory of Molecular Medicine and Biotherapy, Department of Biology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China
| | - Hong Qing
- Key Laboratory of Molecular Medicine and Biotherapy, Department of Biology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
| | - Junjun Ni
- Key Laboratory of Molecular Medicine and Biotherapy, Department of Biology, School of Life Science, Beijing Institute of Technology, Beijing, 100081, China.
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20
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Zheng J, Wang Z, Pan X, Zhang Z, Li H, Deng X, Liu P, Zhang Q, Na F, Chen C, Niu T, Liu Y. DNMT3A R882H accelerates angioimmunoblastic T-cell lymphoma in mice. Oncogene 2023:10.1038/s41388-023-02699-2. [PMID: 37127775 DOI: 10.1038/s41388-023-02699-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Revised: 04/07/2023] [Accepted: 04/18/2023] [Indexed: 05/03/2023]
Abstract
DNA methylation-related genes, including TET2, IDH2, and DNMT3A are highly frequently mutated in angioimmunoblastic T-cell lymphoma (AITL), an aggressive malignancy of T follicular helper (Tfh) cells associated with aberrant immune features. It has been shown that TET2 loss cooperates with RHOAG17V to promote AITL in mice but the functional role of DNMT3A mutations in AITL remains unclear. Here, we report that DNMT3AR882H, the most common mutation of DNMT3A in AITL, accelerates the development of Tet2-/-; RHOAG17V AITL in mice, indicated by the expansion of malignant Tfh cells and aberrant B cells, skin rash, and significantly shortened disease-free survival. To understand the underlying cellular and molecular mechanisms, we performed single-cell transcriptome analyses of lymph nodes of mice transplanted with Tet2-/-, Tet2-/-; RHOAG17V or DNMT3AR882H; Tet2-/-; RHOAG17V hematopoietic stem and progenitor cells. These single-cell landscapes reveal that DNMT3A mutation further activates Tfh cells and leads to rapid and terminal differentiation of B cells, probably through enhancing the interacting PD1/PD-L1, ICOS/ICOSL, CD28/CD86, and ICAM1/ITGAL pairs. Our study establishes the functional roles of DNMT3A mutation in AITL and sheds light on the molecular mechanisms of this disease.
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Affiliation(s)
- Jianan Zheng
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhongwang Wang
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Xiangyu Pan
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhixin Zhang
- Department of Technology, Chengdu ExAb Biotechnology, LTD, Chengdu, China
| | - He Li
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China
| | - Xintong Deng
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Pengpeng Liu
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Qi Zhang
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Feifei Na
- Department of Thoracic Oncology, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, China
| | - Chong Chen
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ting Niu
- Department of Hematology, West China Hospital, Sichuan University, Chengdu, China.
| | - Yu Liu
- Department of Hematology and Institute of Hematology, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China.
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21
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Cathepsin H Knockdown Reverses Radioresistance of Hepatocellular Carcinoma via Metabolic Switch Followed by Apoptosis. Int J Mol Sci 2023; 24:ijms24065257. [PMID: 36982347 PMCID: PMC10049059 DOI: 10.3390/ijms24065257] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Accepted: 03/01/2023] [Indexed: 03/12/2023] Open
Abstract
Despite the wide application of radiotherapy in HCC, radiotherapy efficacy is sometimes limited due to radioresistance. Although radioresistance is reported with high glycolysis, the underlying mechanism between radioresistance and cancer metabolism, as well as the role of cathepsin H (CTSH) within it, remain unclear. In this study, tumor-bearing models and HCC cell lines were used to observe the effect of CTSH on radioresistance. Proteome mass spectrometry, followed by enrichment analysis, were used to investigate the cascades and targets regulated by CTSH. Technologies such as immunofluorescence co-localization flow cytometry and Western blot were used for further detection and verification. Through these methods, we originally found CTSH knockdown (KD) perturbed aerobic glycolysis and enhanced aerobic respiration, and thus promoted apoptosis through up-regulation and the release of proapoptotic factors such as AIFM1, HTRA2, and DIABLO, consequently reducing radioresistance. We also found that CTSH, together with its regulatory targets (such as PFKL, HK2, LDH, and AIFM1), was correlated with tumorigenesis and poor prognosis. In summary, our study found that the cancer metabolic switch and apoptosis were regulated by CTSH signaling, leading to the occurrence of radioresistance in HCC cells and suggesting the potential value of HCC diagnosis and therapy.
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22
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Lu Z, Zhong A, Liu H, Zhang M, Chen X, Pan X, Wang M, Deng X, Gao L, Zhao L, Wang J, Yang Y, Zhang Q, Wu B, Zheng J, Wang Y, Song X, Liu K, Zhang W, Chen X, Yang K, Chen X, Zhao Y, Zhao C, Wang Y, Chen L, Zhou Z, Hu J, Liu Y, Chen C. Dissecting the genetic and microenvironmental factors of gastric tumorigenesis in mice. Cell Rep 2022; 41:111482. [PMID: 36261019 DOI: 10.1016/j.celrep.2022.111482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 07/21/2022] [Accepted: 09/19/2022] [Indexed: 11/03/2022] Open
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23
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Cytokines drive prostate cancer lineage plasticity. Immunity 2022; 55:1761-1763. [DOI: 10.1016/j.immuni.2022.09.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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24
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Ogawa S. Targeting lineage plasticity overcomes chemoresistance. Cancer Cell 2022; 40:905-907. [PMID: 36099886 DOI: 10.1016/j.ccell.2022.08.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
In this issue of Cancer Cell, Wang et al. reveal that chemoresistant muscle-invasive bladder cancer is associated with partial squamous differentiation. Targeting of Cathepsin H overcomes this chemotherapy-induced semi-squamatization and promotes terminal squamous differentiation and tumor suppression.
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Affiliation(s)
- Seishi Ogawa
- Department of Pathology and Tumor Biology, Graduate School of Medicine, Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.
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