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Hieken TJ, Nelson GD, Flotte TJ, Grewal EP, Chen J, McWilliams RR, Kottschade LA, Yang L, Domingo-Musibay E, Dronca RS, Yan Y, Markovic SN, Dimou A, Montane HN, Erskine CL, Piltin MA, Price DL, Khariwala SS, Hui J, Strand CA, Harrington SM, Suman VJ, Dong H, Block MS. Neoadjuvant cobimetinib and atezolizumab with or without vemurafenib for high-risk operable Stage III melanoma: the Phase II NeoACTIVATE trial. Nat Commun 2024; 15:1430. [PMID: 38365756 PMCID: PMC10873383 DOI: 10.1038/s41467-024-45798-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 02/05/2024] [Indexed: 02/18/2024] Open
Abstract
Both targeted therapies and immunotherapies provide benefit in resected Stage III melanoma. We hypothesized that the combination of targeted and immunotherapy given prior to therapeutic lymph node dissection (TLND) would be tolerable and drive robust pathologic responses. In NeoACTIVATE (NCT03554083), a Phase II trial, patients with clinically evident resectable Stage III melanoma received either 12 weeks of neoadjuvant vemurafenib, cobimetinib, and atezolizumab (BRAF-mutated, Cohort A, n = 15), or cobimetinib and atezolizumab (BRAF-wild-type, Cohort B, n = 15) followed by TLND and 24 weeks of adjuvant atezolizumab. Here, we report outcomes from the neoadjuvant portion of the trial. Based on intent to treat analysis, pathologic response (≤50% viable tumor) and major pathologic response (complete or near-complete, ≤10% viable tumor) were observed in 86.7% and 66.7% of BRAF-mutated and 53.3% and 33.3% of BRAF-wild-type patients, respectively (primary outcome); these exceeded pre-specified benchmarks of 50% and 30% for major pathologic response. Grade 3 and higher toxicities, primarily dermatologic, occurred in 63% during neoadjuvant treatment (secondary outcome). No surgical delays nor progression to regional unresectability occurred (secondary outcome). Peripheral blood CD8 + TCM cell expansion associated with favorable pathologic responses (exploratory outcome).
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Affiliation(s)
- Tina J Hieken
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Garth D Nelson
- Department of Quantitative Health Sciences, Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Thomas J Flotte
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Eric P Grewal
- Department of Oncology, Mayo Clinic, Rochester, MN, USA
| | - Jun Chen
- Department of Quantitative Health Sciences, Computational Biology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Lu Yang
- Department of Quantitative Health Sciences, Computational Biology, Mayo Clinic, Rochester, MN, USA
| | - Evidio Domingo-Musibay
- Division of Hematology, Oncology and Transplantation, University of Minnesota, Minneapolis, MN, USA
| | - Roxana S Dronca
- Division of Hematology and Oncology, Department of Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - Yiyi Yan
- Division of Hematology and Oncology, Department of Medicine, Mayo Clinic, Jacksonville, FL, USA
| | - Svetomir N Markovic
- Department of Oncology, Mayo Clinic, Rochester, MN, USA
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
| | | | | | | | - Mara A Piltin
- Division of Breast and Melanoma Surgical Oncology, Department of Surgery, Mayo Clinic, Rochester, MN, USA
| | - Daniel L Price
- Department of Otolaryngology, Mayo Clinic, Rochester, MN, USA
| | - Samir S Khariwala
- Department of Otolaryngology, University of Minnesota, Minneapolis, MN, USA
| | - Jane Hui
- Division of Surgical Oncology, University of Minnesota, Minneapolis, MN, USA
| | - Carrie A Strand
- Department of Quantitative Health Sciences, Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Susan M Harrington
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
- Department of Urology, Mayo Clinic, Rochester, MN, USA
| | - Vera J Suman
- Department of Quantitative Health Sciences, Clinical Trials and Biostatistics, Mayo Clinic, Rochester, MN, USA
| | - Haidong Dong
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
- Department of Urology, Mayo Clinic, Rochester, MN, USA
| | - Matthew S Block
- Department of Oncology, Mayo Clinic, Rochester, MN, USA.
- Department of Immunology, Mayo Clinic, Rochester, MN, USA.
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Feng X, Zhu S, Qiao J, Ji Z, Zhou B, Xu W. CX3CL1 promotes M1 macrophage polarization and osteoclast differentiation through NF-κB signaling pathway in ankylosing spondylitis in vitro. J Transl Med 2023; 21:573. [PMID: 37626378 PMCID: PMC10463543 DOI: 10.1186/s12967-023-04449-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/18/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Ankylosing spondylitis (AS) is an autoimmune disease with a genetic correlation and is characterized by inflammation in the axial skeleton and sacroiliac joints. Many AS patients also have inflammatory bowel diseases (IBD), but the underlying causes of intestinal inflammation and osteoporosis in AS are not well understood. CX3CL1, a protein involved in inflammation, has been found to be up-regulated in AS patients and AS-model mice. METHODS The authors investigated the effects of CX3CL1 on AS by studying its impact on macrophage polarization, inflammation factors, and osteoclast differentiation. Furthermore, the effects of inhibiting the NF-κB pathway and blocking CX3CL1 were assessed using BAY-117082 and anti-CX3CL1 mAb, respectively. AS model mice were used to evaluate the effects of anti-CX3CL1 mAb on limb thickness, spine rupture, and intestinal tissue damage. RESULTS The authors found that CX3CL1 increased the expression of M1-type macrophage markers and inflammation factors, and promoted osteoclast differentiation. This effect was mediated through the NF-κB signaling pathway. Inhibition of the NF-κB pathway prevented M1-type macrophage polarization, reduced inflammation levels, and inhibited osteoclast differentiation. Injection of anti-CX3CL1 mAb alleviated limb thickness, spine rupture, and intestinal tissue damage in AS model mice by inhibiting M1-type macrophage polarization and reducing intestinal tissue inflammation. CONCLUSIONS The study demonstrated that up-regulated CX3CL1 promotes M1-type macrophage polarization and osteoclast differentiation through the NF-κB signaling pathway. Inhibition of this pathway and blocking CX3CL1 can alleviate inflammation and bone destruction in AS. These findings contribute to a better understanding of the pathogenesis of AS and provide a basis for clinical diagnosis and treatment.
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Affiliation(s)
- Xinzhe Feng
- Department of Joint Bone Disease Surgery, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Shanbang Zhu
- Department of Joint Bone Disease Surgery, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China
- Department of Orthopaedics, Affiliated Jinling Hospital, Medical School of Nanjing University, No 305 Zhongshandonglu Road, Nanjing, 210002, China
| | - Junjie Qiao
- Department of Joint Bone Disease Surgery, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Zhou Ji
- Department of Joint Bone Disease Surgery, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Bole Zhou
- Department of Joint Bone Disease Surgery, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Weidong Xu
- Department of Joint Bone Disease Surgery, Changhai Hospital, Naval Medical University, 168 Changhai Road, Shanghai, 200433, China.
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Tan S, Kong Y, Xian Y, Gao P, Xu Y, Wei C, Lin P, Ye W, Li Z, Zhu X. The Mechanisms of Ferroptosis and the Applications in Tumor Treatment: Enemies or Friends? Front Mol Biosci 2022; 9:938677. [PMID: 35911967 PMCID: PMC9334798 DOI: 10.3389/fmolb.2022.938677] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2022] [Accepted: 06/20/2022] [Indexed: 11/13/2022] Open
Abstract
Ferroptosis, as a newly discovered non-apoptotic cell death mode, is beginning to be explored in different cancer. The particularity of ferroptosis lies in the accumulation of iron dependence and lipid peroxides, and it is different from the classical cell death modes such as apoptosis and necrosis in terms of action mode, biochemical characteristics, and genetics. The mechanism of ferroptosis can be divided into many different pathways, so it is particularly important to identify the key sites of ferroptosis in the disease. Herein, based on ferroptosis, we analyze the main pathways in detail. More importantly, ferroptosis is linked to the development of different systems of the tumor, providing personalized plans for the examination, treatment, and prognosis of cancer patients. Although some mechanisms and side effects of ferroptosis still need to be studied, it is still a promising method for cancer treatment.
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Affiliation(s)
- Shuzheng Tan
- School of Laboratory Medicine and Biological Engineering, Hangzhou Medical College, Hangzhou, China
- Department of Dermatology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ying Kong
- Department of Clinical Laboratory, Hubei No.3 People’s Hospital of Jianghan University, Wuhan, China
| | - Yongtong Xian
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Pengbo Gao
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Yue Xu
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Chuzhong Wei
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Peixu Lin
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Weilong Ye
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Zesong Li
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors, Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People’s Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China
- *Correspondence: Zesong Li, ; Xiao Zhu,
| | - Xiao Zhu
- School of Laboratory Medicine and Biological Engineering, Hangzhou Medical College, Hangzhou, China
- *Correspondence: Zesong Li, ; Xiao Zhu,
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Ye W, Wu Z, Gao P, Kang J, Xu Y, Wei C, Zhang M, Zhu X. Identified Gefitinib Metabolism-Related lncRNAs can be Applied to Predict Prognosis, Tumor Microenvironment, and Drug Sensitivity in Non-Small Cell Lung Cancer. Front Oncol 2022; 12:939021. [PMID: 35978819 PMCID: PMC9376789 DOI: 10.3389/fonc.2022.939021] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Accepted: 06/06/2022] [Indexed: 12/15/2022] Open
Abstract
Gefitinib has shown promising efficacy in the treatment of patients with locally advanced or metastatic EGFR-mutated non-small cell lung cancer (NSCLC). Molecular biomarkers for gefitinib metabolism-related lncRNAs have not yet been elucidated. Here, we downloaded relevant genes and matched them to relevant lncRNAs. We then used univariate, LASSO, and multivariate regression to screen for significant genes to construct prognostic models. We investigated TME and drug sensitivity by risk score data. All lncRNAs with differential expression were selected for GO/KEGG analysis. Imvigor210 cohort was used to validate the value of the prognostic model. Finally, we performed a stemness indices difference analysis. lncRNA-constructed prognostic models were significant in the high-risk and low-risk subgroups. Immune pathways were identified in both groups at low risk. The higher the risk score the greater the value of exclusion, MDSC, and CAF. PRRophetic algorithm screened a total of 58 compounds. In conclusion, the prognostic model we constructed can accurately predict OS in NSCLC patients. Two groups of low-risk immune pathways are beneficial to patients. Gefitinib metabolism was again validated to be related to cytochrome P450 and lipid metabolism. Finally, drugs that might be used to treat NSCLC patients were screened.
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Affiliation(s)
- Weilong Ye
- School of Laboratory Medicine and Biological Engineering, Hangzhou Medical College, Hangzhou, China
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Zhengguo Wu
- Department of Thoracic Surgery, Yantian District People’s Hospital, Shenzhen, China
| | - Pengbo Gao
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Jianhao Kang
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Yue Xu
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Chuzhong Wei
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
| | - Ming Zhang
- Department of Physical Medicine and Rehabilitation, Zibo Central Hospital, Zibo, China
- *Correspondence: Ming Zhang, ; Xiao Zhu,
| | - Xiao Zhu
- School of Laboratory Medicine and Biological Engineering, Hangzhou Medical College, Hangzhou, China
- Computational Oncology Laboratory, Guangdong Medical University, Zhanjiang, China
- *Correspondence: Ming Zhang, ; Xiao Zhu,
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Li X, Li M, Huang M, Lin Q, Fang Q, Liu J, Chen X, Liu L, Zhan X, Shan H, Lu D, Li Q, Li Z, Zhu X. The multi-molecular mechanisms of tumor-targeted drug resistance in precision medicine. Biomed Pharmacother 2022; 150:113064. [PMID: 35658234 DOI: 10.1016/j.biopha.2022.113064] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 04/28/2022] [Accepted: 04/28/2022] [Indexed: 11/02/2022] Open
Abstract
Clinically, cancer drug therapy is still dominated by chemotherapy drugs. Although the emergence of targeted drugs has greatly improved the survival rate of patients with advanced cancer, drug resistance has always been a difficult problem in clinical cancer treatment. At the current level of medicine, most drugs cannot escape the fate of drug resistance. With the emergence and development of gene detection, liquid biopsy ctDNA technology, and single-cell sequencing technology, the molecular mechanism of tumor drug resistance has gradually emerged. Drugs can also be updated in response to drug resistance mechanisms and bring higher survival benefits. The use of new drugs often leads to new mechanisms of resistance. In this review, the multi-molecular mechanisms of drug resistance are introduced, and the overcoming of drug resistance is discussed from the perspective of the tumor microenvironment.
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Affiliation(s)
- Xinming Li
- School of Laboratory Medicine and Bioengineering, Hangzhou Medical College, Hangzhou, China; Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Mingdong Li
- Department of Gastroenterology, Zibo Central Hospital, Zibo, China
| | - Meiying Huang
- Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Qianyi Lin
- Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Qiuping Fang
- Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Jianjiang Liu
- Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Xiaohui Chen
- Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Lin Liu
- Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Xuliang Zhan
- Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Huisi Shan
- Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Deshuai Lu
- Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Qinlan Li
- Cancer Research Center, Guangdong Medical University, Zhanjiang, China
| | - Zesong Li
- Guangdong Provincial Key Laboratory of Systems Biology and Synthetic Biology for Urogenital Tumors,Shenzhen Key Laboratory of Genitourinary Tumor, Department of Urology, The First Affiliated Hospital of Shenzhen University, Shenzhen Second People's Hospital (Shenzhen Institute of Translational Medicine), Shenzhen, China.
| | - Xiao Zhu
- School of Laboratory Medicine and Bioengineering, Hangzhou Medical College, Hangzhou, China; Cancer Research Center, Guangdong Medical University, Zhanjiang, China.
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