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Han Y, Liu X, Xu L, Wei Z, Gu Y, Ren Y, Hua W, Zhang Y, Liu X, Jiang C, Zhuang R, Hong W, Wang T. RILP Induces Cholesterol Accumulation in Lysosomes by Inhibiting Endoplasmic Reticulum-Endolysosome Interactions. Cells 2024; 13:1313. [PMID: 39195203 DOI: 10.3390/cells13161313] [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: 06/03/2024] [Revised: 07/26/2024] [Accepted: 07/28/2024] [Indexed: 08/29/2024] Open
Abstract
Endoplasmic reticulum (ER)-endolysosome interactions regulate cholesterol exchange between the ER and the endolysosome. ER-endolysosome membrane contact sites mediate the ER-endolysosome interaction. VAP-ORP1L (vesicle-associated membrane protein-associated protein- OSBP-related protein 1L) interaction forms the major contact site between the ER and the lysosome, which is regulated by Rab7. RILP (Rab7-interacting lysosomal protein) is the downstream effector of Rab7, but its role in the organelle interaction between the ER and the lysosome is not clear. In this study, we found RILP interacts with ORP1L to competitively inhibit the formation of the VAP-ORP1L contact site. Immunofluorescence microscopy revealed that RILP induces late endosome/lysosome clustering, which reduces the contact of endolysosomes with the ER, interfering with the ER-endolysosome interaction. Further examination demonstrated that over-expression of RILP results in the accumulation of cholesterol in the clustered endolysosomes, which triggers cellular autophagy depending on RILP. Our results suggest that RILP interferes with the ER-endolysosome interaction to inhibit cholesterol flow from the endolysosome to the ER, which feedbacks to trigger autophagy.
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Affiliation(s)
- Yang Han
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Xiaoqing Liu
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Liju Xu
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Ziheng Wei
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Yueting Gu
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Yandan Ren
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Wenyi Hua
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Yongtao Zhang
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Xiaoxi Liu
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Cong Jiang
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Ruijuan Zhuang
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
| | - Wanjin Hong
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
- Institute of Molecular and Cell Biology, A*STAR (Agency of Science, Technology and Research), Singapore 138673, Singapore
| | - Tuanlao Wang
- State Key Laboratory of Cellular Stress Biology, School of Pharmaceutical Sciences, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Xiamen 361102, China
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Duan M, Zhang X, Lou Y, Feng J, Guo P, Ye S, Lv P, Chen Y. Deletion of Tmem268 in mice suppresses anti-infectious immune responses by downregulating CD11b signaling. EMBO Rep 2024; 25:2550-2570. [PMID: 38730209 PMCID: PMC11169502 DOI: 10.1038/s44319-024-00141-6] [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: 05/24/2023] [Revised: 02/25/2024] [Accepted: 04/03/2024] [Indexed: 05/12/2024] Open
Abstract
Transmembrane protein 268 (TMEM268) is a novel, tumor growth-related protein first reported by our laboratory. It interacts with the integrin subunit β4 (ITGB4) and plays a positive role in the regulation of the ITGB4/PLEC signaling pathway. Here, we investigated the effects and mechanism of TMEM268 in anti-infectious immune response in mice. Tmem268 knockout in mice aggravated cecal ligation and puncture-induced sepsis, as evidenced by higher bacterial burden in various tissues and organs, congestion, and apoptosis. Moreover, Tmem268 deficiency in mice inhibited phagocyte adhesion and migration, thus decreasing phagocyte infiltration at the site of infection and complement-dependent phagocytosis. Further findings indicated that TMEM268 interacts with CD11b and inhibits its degradation via the endosome-lysosome pathway. Our results reveal a positive regulatory role of TMEM268 in β2 integrin-associated anti-infectious immune responses and signify the potential value of targeting the TMEM268-CD11b signaling axis for the maintenance of immune homeostasis and immunotherapy for sepsis and related immune disorders.
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Affiliation(s)
- Mengyuan Duan
- Department of Immunology, Peking University School of Basic Medical Sciences; NHC Key Laboratory of Medical Immunology, Peking University, 38 Xueyuan Road, 100191, Beijing, China
| | - Xuan Zhang
- Department of Immunology, Peking University School of Basic Medical Sciences; NHC Key Laboratory of Medical Immunology, Peking University, 38 Xueyuan Road, 100191, Beijing, China
- Beijing Key Laboratory for Pediatric Diseases of Otolaryngology, Beijing Pediatric Research Institute, Capital Medical University, National Center for Children's Health, 100045, Beijing, China
| | - Yaxin Lou
- Medical and Healthy Analytical Center, Peking University, 38 Xueyuan Road, 100191, Beijing, China
| | - Jinqiu Feng
- Department of Immunology, Peking University School of Basic Medical Sciences; NHC Key Laboratory of Medical Immunology, Peking University, 38 Xueyuan Road, 100191, Beijing, China
| | - Pengli Guo
- Department of Immunology, Peking University School of Basic Medical Sciences; NHC Key Laboratory of Medical Immunology, Peking University, 38 Xueyuan Road, 100191, Beijing, China
| | - Shufang Ye
- Department of Immunology, Peking University School of Basic Medical Sciences; NHC Key Laboratory of Medical Immunology, Peking University, 38 Xueyuan Road, 100191, Beijing, China
| | - Ping Lv
- Department of Immunology, Peking University School of Basic Medical Sciences; NHC Key Laboratory of Medical Immunology, Peking University, 38 Xueyuan Road, 100191, Beijing, China
| | - Yingyu Chen
- Department of Immunology, Peking University School of Basic Medical Sciences; NHC Key Laboratory of Medical Immunology, Peking University, 38 Xueyuan Road, 100191, Beijing, China.
- Center for Human Disease Genomics, Peking University, 38 Xueyuan Road, 100191, Beijing, China.
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3
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Zhang J, Fu L, Wang H, Yonemura A, Semba T, Yasuda-Yoshihara N, Nishimura A, Tajiri T, Tong Y, Yasuda T, Uchihara T, Yamazaki M, Okamoto Y, Yamasaki J, Nagano O, Baba H, Ishimoto T. RAC1-mediated integrin alpha-6 expression in E-cadherin-deficient gastric cancer cells promotes interactions with the stroma and peritoneal dissemination. Cancer Lett 2024; 591:216901. [PMID: 38641311 DOI: 10.1016/j.canlet.2024.216901] [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: 12/18/2023] [Revised: 04/09/2024] [Accepted: 04/15/2024] [Indexed: 04/21/2024]
Abstract
Diffuse-type gastric cancer (DGC) is a subtype of gastric cancer that is prone to peritoneal dissemination, with poor patient prognosis. Although intercellular adhesion loss between cancer cells is a major characteristic of DGCs, the mechanism underlying the alteration in cell-to-extracellular matrix (ECM) adhesion is unclear. We investigated how DGCs progress and cause peritoneal dissemination through interactions between DGC cells and the tumour microenvironment (TME). P53 knockout and KRASG12V-expressing (GAN-KP) cells and Cdh1-deleted GAN-KP (GAN-KPC) cells were orthotopically transplanted into the gastric wall to mimic peritoneal dissemination. The GAN-KPC tumour morphology was similar to that of human DGCs containing abundant stroma. RNA sequencing revealed that pathways related to Rho GTPases and integrin-ECM interactions were specifically increased in GAN-KPC cells compared with GAN-KP cells. Notably, we found that Rac Family Small GTPase 1 (RAC1) induces Integrin Subunit Alpha 6 (ITGA6) trafficking, leading to its enrichment on the GC cell membrane. Fibroblasts activate the FAK/AKT pathway in GC cells by mediating extracellular matrix (ECM)-Itga6 interactions, exacerbating the malignant phenotype. In turn, GC cells induce abnormal expression of fibroblast collagen and its transformation into cancer-associated fibroblasts (CAFs), resulting in DGC-like subtypes. These findings indicate that Cdh1 gene loss leads to abnormal expression and changes in the subcellular localization of ITGA6 through RAC1 signalling. The latter, through interactions with CAFs, allows for peritoneal dissemination.
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Affiliation(s)
- Jun Zhang
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Lingfeng Fu
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Huaitao Wang
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Atsuko Yonemura
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Takashi Semba
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan
| | - Noriko Yasuda-Yoshihara
- Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Akiho Nishimura
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan
| | - Takuya Tajiri
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Yilin Tong
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Tadahito Yasuda
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Tomoyuki Uchihara
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan
| | - Masaya Yamazaki
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Yuya Okamoto
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Juntaro Yamasaki
- Division of Gene Regulation, Cancer Center, Fujita Health University, Toyoake, Japan
| | - Osamu Nagano
- Division of Gene Regulation, Cancer Center, Fujita Health University, Toyoake, Japan
| | - Hideo Baba
- Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan; Center for Metabolic Regulation of Healthy Ageing, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Takatsugu Ishimoto
- Division of Carcinogenesis, The Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan; Gastrointestinal Cancer Biology, International Research Center of Medical Sciences (IRCMS), Kumamoto University, Kumamoto, Japan; Department of Gastroenterological Surgery, Graduate School of Medical Sciences, Kumamoto University, Kumamoto, Japan.
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Liu J, Chang X, Qian L, Chen S, Xue Z, Wu J, Luo D, Huang B, Fan J, Guo T, Nie X. Proteomics-Derived Biomarker Panel Facilitates Distinguishing Primary Lung Adenocarcinomas With Intestinal or Mucinous Differentiation From Lung Metastatic Colorectal Cancer. Mol Cell Proteomics 2024; 23:100766. [PMID: 38608841 PMCID: PMC11092395 DOI: 10.1016/j.mcpro.2024.100766] [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] [Revised: 03/07/2024] [Accepted: 04/09/2024] [Indexed: 04/14/2024] Open
Abstract
The diagnosis of primary lung adenocarcinomas with intestinal or mucinous differentiation (PAIM) remains challenging due to the overlapping histomorphological, immunohistochemical (IHC), and genetic characteristics with lung metastatic colorectal cancer (lmCRC). This study aimed to explore the protein biomarkers that could distinguish between PAIM and lmCRC. To uncover differences between the two diseases, we used tandem mass tagging-based shotgun proteomics to characterize proteomes of formalin-fixed, paraffin-embedded tumor samples of PAIM (n = 22) and lmCRC (n = 17).Then three machine learning algorithms, namely support vector machine (SVM), random forest, and the Least Absolute Shrinkage and Selection Operator, were utilized to select protein features with diagnostic significance. These candidate proteins were further validated in an independent cohort (PAIM, n = 11; lmCRC, n = 19) by IHC to confirm their diagnostic performance. In total, 105 proteins out of 7871 proteins were significantly dysregulated between PAIM and lmCRC samples and well-separated two groups by Uniform Manifold Approximation and Projection. The upregulated proteins in PAIM were involved in actin cytoskeleton organization, platelet degranulation, and regulation of leukocyte chemotaxis, while downregulated ones were involved in mitochondrial transmembrane transport, vasculature development, and stem cell proliferation. A set of ten candidate proteins (high-level expression in lmCRC: CDH17, ATP1B3, GLB1, OXNAD1, LYST, FABP1; high-level expression in PAIM: CK7 (an established marker), NARR, MLPH, S100A14) was ultimately selected to distinguish PAIM from lmCRC by machine learning algorithms. We further confirmed using IHC that the five protein biomarkers including CDH17, CK7, MLPH, FABP1 and NARR were effective biomarkers for distinguishing PAIM from lmCRC. Our study depicts PAIM-specific proteomic characteristics and demonstrates the potential utility of new protein biomarkers for the differential diagnosis of PAIM and lmCRC. These findings may contribute to improving the diagnostic accuracy and guide appropriate treatments for these patients.
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Affiliation(s)
- Jiaying Liu
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaona Chang
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Liujia Qian
- Center for ProtTalks, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China; Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Shuo Chen
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhangzhi Xue
- Center for ProtTalks, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China; Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China
| | - Junhua Wu
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Danju Luo
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Bo Huang
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jun Fan
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tiannan Guo
- Center for ProtTalks, Westlake Laboratory of Life Sciences and Biomedicine, Key Laboratory of Structural Biology of Zhejiang Province, School of Life Sciences, Westlake University, Hangzhou, Zhejiang, China; Institute of Basic Medical Sciences, Westlake Institute for Advanced Study, Hangzhou, Zhejiang, China; Research Center for Industries of the Future, Westlake University, Hangzhou, Zhejiang, China.
| | - Xiu Nie
- Department of Pathology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
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Ferreira A, Castanheira P, Escrevente C, Barral DC, Barona T. Membrane trafficking alterations in breast cancer progression. Front Cell Dev Biol 2024; 12:1350097. [PMID: 38533085 PMCID: PMC10963426 DOI: 10.3389/fcell.2024.1350097] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Accepted: 02/12/2024] [Indexed: 03/28/2024] Open
Abstract
Breast cancer (BC) is the most common type of cancer in women, and remains one of the major causes of death in women worldwide. It is now well established that alterations in membrane trafficking are implicated in BC progression. Indeed, membrane trafficking pathways regulate BC cell proliferation, migration, invasion, and metastasis. The 22 members of the ADP-ribosylation factor (ARF) and the >60 members of the rat sarcoma (RAS)-related in brain (RAB) families of small GTP-binding proteins (GTPases), which belong to the RAS superfamily, are master regulators of membrane trafficking pathways. ARF-like (ARL) subfamily members are involved in various processes, including vesicle budding and cargo selection. Moreover, ARFs regulate cytoskeleton organization and signal transduction. RABs are key regulators of all steps of membrane trafficking. Interestingly, the activity and/or expression of some of these proteins is found dysregulated in BC. Here, we review how the processes regulated by ARFs and RABs are subverted in BC, including secretion/exocytosis, endocytosis/recycling, autophagy/lysosome trafficking, cytoskeleton dynamics, integrin-mediated signaling, among others. Thus, we provide a comprehensive overview of the roles played by ARF and RAB family members, as well as their regulators in BC progression, aiming to lay the foundation for future research in this field. This research should focus on further dissecting the molecular mechanisms regulated by ARFs and RABs that are subverted in BC, and exploring their use as therapeutic targets or prognostic markers.
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Guo H, Zhou C, Zheng M, Zhang J, Wu H, He Q, Ding L, Yang B. Insights into the role of derailed endocytic trafficking pathway in cancer: From the perspective of cancer hallmarks. Pharmacol Res 2024; 201:107084. [PMID: 38295915 DOI: 10.1016/j.phrs.2024.107084] [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: 10/19/2023] [Revised: 01/12/2024] [Accepted: 01/25/2024] [Indexed: 02/06/2024]
Abstract
The endocytic trafficking pathway is a highly organized cellular program responsible for the regulation of membrane components and uptake of extracellular substances. Molecules internalized into the cell through endocytosis will be sorted for degradation or recycled back to membrane, which is determined by a series of sorting events. Many receptors, enzymes, and transporters on the membrane are strictly regulated by endocytic trafficking process, and thus the endocytic pathway has a profound effect on cellular homeostasis. However, the endocytic trafficking process is typically dysregulated in cancers, which leads to the aberrant retention of receptor tyrosine kinases and immunosuppressive molecules on cell membrane, the loss of adhesion protein, as well as excessive uptake of nutrients. Therefore, hijacking endocytic trafficking pathway is an important approach for tumor cells to obtain advantages of proliferation and invasion, and to evade immune attack. Here, we summarize how dysregulated endocytic trafficking process triggers tumorigenesis and progression from the perspective of several typical cancer hallmarks. The impact of endocytic trafficking pathway to cancer therapy efficacy is also discussed.
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Affiliation(s)
- Hongjie Guo
- Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Institute of Pharmacology and Toxicology, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Chen Zhou
- Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Institute of Pharmacology and Toxicology, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Mingming Zheng
- Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Institute of Pharmacology and Toxicology, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Jie Zhang
- Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Institute of Pharmacology and Toxicology, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Honghai Wu
- Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Institute of Pharmacology and Toxicology, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China
| | - Qiaojun He
- Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Institute of Pharmacology and Toxicology, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; The Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University, Hangzhou 310018, China; Cancer Center of Zhejiang University, Hangzhou 310058, China
| | - Ling Ding
- Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Institute of Pharmacology and Toxicology, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; Nanhu Brain-computer Interface Institute, Hangzhou 311100, China.
| | - Bo Yang
- Zhejiang Province Key Laboratory of Anti-Cancer Drug Research, Institute of Pharmacology and Toxicology, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou 310058, China; School of Medicine, Hangzhou City University, Hangzhou 310015, China; The Innovation Institute for Artificial Intelligence in Medicine, Zhejiang University, Hangzhou 310018, China.
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Jiang X, Yang L, Chen G, Feng X, Liu Y, Gao Q, Mai M, Chen CYC, Ye S, Yang Z. Discovery of Kinetin in inhibiting colorectal cancer progression via enhancing PSMB1-mediated RAB34 degradation. Cancer Lett 2024; 584:216600. [PMID: 38159835 DOI: 10.1016/j.canlet.2023.216600] [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: 09/19/2023] [Revised: 11/29/2023] [Accepted: 12/12/2023] [Indexed: 01/03/2024]
Abstract
Colorectal cancer (CRC) is one of the most prevalent malignancies worldwide. Understanding the underlying mechanism driving CRC progression and identifying potential therapeutic drug targets are of utmost urgency. We previously utilized LC-MS-based proteomic profiling to identify proteins associated with postoperative progression in stage II/III CRC. Here, we revealed that proteasome subunit beta type-1 (PSMB1) is an independent predictor for postoperative progression in stage II/III CRC. Mechanistically, PSMB1 binds directly to onco-protein RAB34 and promotes its proteasome-dependent degradation, potentially leading to the inactivation of the MEK/ERK signaling pathway and inhibition of CRC progression. To further identify potential anticancer drugs, we screened a library of 2509 FDA-approved drugs using computer-aided drug design (CADD) and identified Kinetin as a potentiating agent for PSMB1. Functional assays confirmed that Kinetin enhanced the interaction between PSMB1 and RAB34, hence facilitated the degradation of RAB34 protein and decreased the MEK/ERK phosphorylation. Kinetin suppresses CRC progression in patient-derived xenograft (PDX) and liver metastasis models. Conclusively, our study identifies PSMB1 as a potential biomarker and therapeutic target for CRC, and Kinetin as an anticancer drug by enhancing proteasome-dependent onco-protein degradation.
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Affiliation(s)
- Xuefei Jiang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Lanlan Yang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Guanxing Chen
- Artificial Intelligence Medical Research Center, School of Intelligent Systems Engineering, Shenzhen Campus of Sun Yat-sen University, Shenzhen, Guangdong, 510275, China
| | - Xingzhi Feng
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510655, China; Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Yiting Liu
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510655, China; Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Qianling Gao
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Mingru Mai
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510655, China; Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Calvin Yu-Chian Chen
- Department of AI for Science, School of Electronic and Computer Engineering, Peking University Shenzhen Graduate School, Shenzhen, Guangdong, 518055, China
| | - Shubiao Ye
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510655, China; Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510655, China
| | - Zihuan Yang
- Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510655, China; Department of Clinical Laboratory, The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, 510655, China.
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Zhao H, Feng K, Lei J, Shu Y, Bo L, Liu Y, Wang L, Liu W, Ning S, Wang L. Identification of somatic mutation-driven enhancers and their clinical utility in breast cancer. iScience 2024; 27:108780. [PMID: 38303701 PMCID: PMC10831879 DOI: 10.1016/j.isci.2024.108780] [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: 06/07/2023] [Revised: 09/04/2023] [Accepted: 01/02/2024] [Indexed: 02/03/2024] Open
Abstract
Somatic mutations contribute to cancer development by altering the activity of enhancers. In the study, a total of 135 mutation-driven enhancers, which displayed significant chromatin accessibility changes, were identified as candidate risk factors for breast cancer (BRCA). Furthermore, we identified four mutation-driven enhancers as independent prognostic factors for BRCA subtypes. In Her2 subtype, enhancer G > C mutation was associated with poorer prognosis through influencing its potential target genes FBXW9, TRIR, and WDR83. We identified aminoglutethimide and quinpirole as candidate drugs targeting the mutated enhancer. In normal subtype, enhancer G > A mutation was associated with poorer prognosis through influencing its target genes ALOX15B, LINC00324, and MPDU1. We identified eight candidate drugs such as erastin, colforsin, and STOCK1N-35874 targeting the mutated enhancer. Our findings suggest that somatic mutations contribute to breast cancer subtype progression by altering enhancer activity, which could be potential candidates for cancer therapy.
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Affiliation(s)
- Hongying Zhao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Ke Feng
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Junjie Lei
- College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yaopeng Shu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Lin Bo
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Ying Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Lixia Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Wangyang Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Shangwei Ning
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
| | - Li Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China
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9
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Xiong X, Jian G. E2F1‑mediated RAB34 upregulation accelerates the proliferation and inhibits the cell cycle arrest and apoptosis of acute myeloid leukemia cells. Exp Ther Med 2023; 26:389. [PMID: 37456160 PMCID: PMC10347365 DOI: 10.3892/etm.2023.12088] [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: 09/15/2022] [Accepted: 12/21/2022] [Indexed: 07/18/2023] Open
Abstract
Acute myeloid leukemia (AML) is a malignant disease that is mainly arisen from myeloid stem/progenitor cells. The pathogenesis of AML is complex. Ras-related protein member RAS oncogene GTPases (RAB) 34 protein has been reported to serve an important role in the development of cancer. However, to the best of our knowledge, the role of RAB34 in AML has not been previously reported. The GEPIA database was used to predict the expression levels of RAB34 in patients with AML. Reverse transcription-quantitative PCR and western blotting were used to detect the expression of RAB34 in AML cell lines. Cell transfection with short hairpin (sh)RNAs targeting RAB34 was used to interfere with RAB34 expression. Cell Counting Kit-8 and 5-ethynyl-2'-deoxyuridine staining were used to measure cell proliferation. Flow cytometry was used to investigate cell cycle distribution and apoptosis. Western blotting was used to assess the protein expression levels of RAB34 and E2F transcription factor 1 (E2F1), and cell cycle- and apoptosis-associated proteins, including Bcl-2, Bax, CDK4, CDK8 and cyclin D1. The potential binding between E2F1 and RAB34 was then verified by luciferase reporter and chromatin immunoprecipitation assays. Subsequently, cells were co-transfected with RAB34 shRNA and the E2F1 overexpression plasmid before cell proliferation, cell cycle and apoptosis were analyzed further. The expression of RAB34 was found to be significantly increased in AML cell lines. Knocking down RAB34 expression in AML cells was found to significantly inhibit cell proliferation, induce cell cycle arrest and promote apoptosis. E2F1 activated the transcription of RAB34 and E2F1 elevation reversed the impacts of RAB34 silencing on cell proliferation, cell cycle and apoptosis in AML. Therefore, these findings suggest that E2F1-mediated RAB34 upregulation may accelerate the malignant progression of AML.
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Affiliation(s)
- Xiaojie Xiong
- Clinical Laboratory, The First Affiliated Hospital of HaiNan Medical University, Haikou, Hainan 570102, P.R. China
| | - Gang Jian
- Department of Pharmacy, The First Affiliated Hospital of HaiNan Medical University, Haikou, Hainan 570102, P.R. China
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10
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Liu F, Wu Q, Dong Z, Liu K. Integrins in cancer: Emerging mechanisms and therapeutic opportunities. Pharmacol Ther 2023:108458. [PMID: 37245545 DOI: 10.1016/j.pharmthera.2023.108458] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 05/10/2023] [Accepted: 05/22/2023] [Indexed: 05/30/2023]
Abstract
Integrins are vital surface adhesion receptors that mediate the interactions between the extracellular matrix (ECM) and cells and are essential for cell migration and the maintenance of tissue homeostasis. Aberrant integrin activation promotes initial tumor formation, growth, and metastasis. Recently, many lines of evidence have indicated that integrins are highly expressed in numerous cancer types and have documented many functions of integrins in tumorigenesis. Thus, integrins have emerged as attractive targets for the development of cancer therapeutics. In this review, we discuss the underlying molecular mechanisms by which integrins contribute to most of the hallmarks of cancer. We focus on recent progress on integrin regulators, binding proteins, and downstream effectors. We highlight the role of integrins in the regulation of tumor metastasis, immune evasion, metabolic reprogramming, and other hallmarks of cancer. In addition, integrin-targeted immunotherapy and other integrin inhibitors that have been used in preclinical and clinical studies are summarized.
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Affiliation(s)
- Fangfang Liu
- Research Center of Basic Medicine, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China; China-US (Henan) Hormel Cancer Institute, Zhengzhou, Henan 450008, China
| | - Qiong Wu
- China-US (Henan) Hormel Cancer Institute, Zhengzhou, Henan 450008, China; Department of Pathophysiology, School of Basic Medical Sciences, College of Medicine, Zhengzhou University, Zhengzhou, Henan 450001, China
| | - Zigang Dong
- Research Center of Basic Medicine, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China; China-US (Henan) Hormel Cancer Institute, Zhengzhou, Henan 450008, China; Department of Pathophysiology, School of Basic Medical Sciences, College of Medicine, Zhengzhou University, Zhengzhou, Henan 450001, China; State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou, Henan 450000, China; Tianjian Advanced Biomedical Laboratory, Zhengzhou University, Zhengzhou, Henan 450001, China.
| | - Kangdong Liu
- Research Center of Basic Medicine, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, Henan 450001, China; China-US (Henan) Hormel Cancer Institute, Zhengzhou, Henan 450008, China; Department of Pathophysiology, School of Basic Medical Sciences, College of Medicine, Zhengzhou University, Zhengzhou, Henan 450001, China; State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou, Henan 450000, China; Tianjian Advanced Biomedical Laboratory, Zhengzhou University, Zhengzhou, Henan 450001, China; Cancer Chemoprevention International Collaboration Laboratory, Zhengzhou, Henan 450000, China.
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11
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Banushi B, Joseph SR, Lum B, Lee JJ, Simpson F. Endocytosis in cancer and cancer therapy. Nat Rev Cancer 2023:10.1038/s41568-023-00574-6. [PMID: 37217781 DOI: 10.1038/s41568-023-00574-6] [Citation(s) in RCA: 25] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/11/2023] [Indexed: 05/24/2023]
Abstract
Endocytosis is a complex process whereby cell surface proteins, lipids and fluid from the extracellular environment are packaged, sorted and internalized into cells. Endocytosis is also a mechanism of drug internalization into cells. There are multiple routes of endocytosis that determine the fate of molecules, from degradation in the lysosomes to recycling back to the plasma membrane. The overall rates of endocytosis and temporal regulation of molecules transiting through endocytic pathways are also intricately linked with signalling outcomes. This process relies on an array of factors, such as intrinsic amino acid motifs and post-translational modifications. Endocytosis is frequently disrupted in cancer. These disruptions lead to inappropriate retention of receptor tyrosine kinases on the tumour cell membrane, changes in the recycling of oncogenic molecules, defective signalling feedback loops and loss of cell polarity. In the past decade, endocytosis has emerged as a pivotal regulator of nutrient scavenging, response to and regulation of immune surveillance and tumour immune evasion, tumour metastasis and therapeutic drug delivery. This Review summarizes and integrates these advances into the understanding of endocytosis in cancer. The potential to regulate these pathways in the clinic to improve cancer therapy is also discussed.
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Affiliation(s)
- Blerida Banushi
- Frazer Institute, University of Queensland, Woolloongabba, Queensland, Australia
| | - Shannon R Joseph
- Frazer Institute, University of Queensland, Woolloongabba, Queensland, Australia
| | - Benedict Lum
- Frazer Institute, University of Queensland, Woolloongabba, Queensland, Australia
| | - Jason J Lee
- Frazer Institute, University of Queensland, Woolloongabba, Queensland, Australia
| | - Fiona Simpson
- Frazer Institute, University of Queensland, Woolloongabba, Queensland, Australia.
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12
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Kurtović M, Piteša N, Bartoniček N, Ozretić P, Musani V, Čonkaš J, Petrić T, King C, Sabol M. RNA-seq and ChIP-seq Identification of Unique and Overlapping Targets of GLI Transcription Factors in Melanoma Cell Lines. Cancers (Basel) 2022; 14:cancers14184540. [PMID: 36139698 PMCID: PMC9497141 DOI: 10.3390/cancers14184540] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/05/2022] [Accepted: 09/14/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Despite significant progress in therapy, melanoma still has a rising incidence worldwide, and novel treatment strategies are needed. Recently, researchers have recognized the involvement of the Hedgehog-GLI (HH-GLI) signaling pathway in melanoma and its consistent crosstalk with the MAPK pathway. In order to further investigate the link between the two pathways and to find new target genes that could be considered for combination therapy, we set out to find transcriptional targets of all three GLI proteins in melanoma. METHODS We performed RNA sequencing on three melanoma cell lines (CHL-1, A375, and MEL224) with overexpressed GLI1, GLI2, and GLI3 and combined them with the results of ChIP-sequencing on endogenous GLI1, GLI2, and GLI3 proteins. After combining these results, 21 targets were selected for validation by qPCR. RESULTS RNA-seq revealed a total of 808 differentially expressed genes (DEGs) for GLI1, 941 DEGs for GLI2, and 58 DEGs for GLI3. ChIP-seq identified 527 genes that contained GLI1 binding sites in their promoters, 1103 for GLI2 and 553 for GLI3. A total of 15 of these targets were validated in the tested cell lines, 6 of which were detected by both RNA-seq and ChIP-seq. CONCLUSIONS Our study provides insight into the unique and overlapping transcriptional output of the GLI proteins in melanoma. We suggest that our findings could provide new potential targets to consider while designing melanoma-targeted therapy.
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Affiliation(s)
- Matea Kurtović
- Division of Molecular Medicine, Ruđer Bošković Institute, 10 000 Zagreb, Croatia
| | - Nikolina Piteša
- Division of Molecular Medicine, Ruđer Bošković Institute, 10 000 Zagreb, Croatia
| | - Nenad Bartoniček
- The Garvan Institute of Medical Research, 384 Victoria St., Darlinghurst, NSW 2010, Australia
- The Kinghorn Centre for Clinical Genomics, 370 Victoria St., Darlinghurst, NSW 2010, Australia
| | - Petar Ozretić
- Division of Molecular Medicine, Ruđer Bošković Institute, 10 000 Zagreb, Croatia
| | - Vesna Musani
- Division of Molecular Medicine, Ruđer Bošković Institute, 10 000 Zagreb, Croatia
| | - Josipa Čonkaš
- Division of Molecular Medicine, Ruđer Bošković Institute, 10 000 Zagreb, Croatia
| | - Tina Petrić
- Division of Molecular Medicine, Ruđer Bošković Institute, 10 000 Zagreb, Croatia
| | - Cecile King
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales, Sydney, NSW 2052, Australia
| | - Maja Sabol
- Division of Molecular Medicine, Ruđer Bošković Institute, 10 000 Zagreb, Croatia
- Correspondence:
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13
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RILP inhibits proliferation, migration, and invasion of PC3 prostate cancer cells. Acta Histochem 2022; 124:151938. [PMID: 35981451 DOI: 10.1016/j.acthis.2022.151938] [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: 01/21/2021] [Revised: 06/04/2022] [Accepted: 08/01/2022] [Indexed: 11/23/2022]
Abstract
RILP (Rab-interacting lysosomal protein) is a key regulator of lysosomal transport and a potential tumor suppressor. However, the role of RILP in prostate cancer and the underlying mechanism of RILP in regulating the proliferation, migration, and invasion of prostate cancer cells remain to be studied. In this study, we confirmed RalGDS (Ral guanine nucleotide dissociation stimulator) as the interaction partner of RILP in PC3 prostate cancer cells. Immunofluorescence microscopy showed that RILP recruits RalGDS to the lysosomal compartment. We found that RILP inhibits the activation of RalA and downstream effector RalBP1, and negatively regulates the downstream molecular phosphorylation of Ras. We showed that RILP inhibits the proliferation, migration, and invasion of PC3 prostate cancer cells, which may give rise to novel ideas for cancer treatment.
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14
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Zhang Y, Dho SE, Othman K, Simpson CD, Lapierre J, Bondoc A, McGlade CJ. Numb exon 9 inclusion regulates Integrinβ5 surface expression and promotes breast cancer metastasis. Oncogene 2022; 41:2079-2094. [PMID: 35181737 DOI: 10.1038/s41388-022-02225-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 01/14/2022] [Accepted: 02/01/2022] [Indexed: 01/07/2023]
Abstract
The endocytic adaptor protein Numb acts as a tumor suppressor through downregulation of oncogenic pathways in multiple cancer types. The identification of splicing alterations giving rise to changes in Numb protein isoform expression indicate that Numb also has tumor promoting activity, though the underlying mechanisms are unknown. Here we report that NUMB exon 9 inclusion, which results in production of a protein isoform with an additional 49 amino acids, is a feature of multiple cancer types including all subtypes of breast cancer and correlates with worse progression-free survival. Specific deletion of exon 9-included Numb isoforms (Exon9in) from breast cancer cells reduced cell growth and prevents spontaneous lung metastasis in a mouse model. Quantitative proteome profiling showed that loss of Exon9in causes downregulation of membrane receptors and adhesion molecules, as well as proteins involved in extracellular matrix organization and the epithelial-mesenchymal transition (EMT) state. In addition, exon 9 deletion caused remodeling of the endocytic network, decreased ITGβ5 surface localization, cell spreading on vitronectin and downstream signaling to ERK and SRC. Together these observations suggest that Exon9in isoform expression disrupts the endocytic trafficking functions of Numb, resulting in increased surface expression of ITGβ5 as well as other plasma membrane proteins to promote cell adhesion, EMT, and tumor metastasis.
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Affiliation(s)
- Yangjing Zhang
- Department of Medical Biophysics, University of Toronto, 610 University Avenue, Toronto, ON, M5G 2M9, Canada
- The Arthur and Sonia Labatt Brain Tumour Research Centre, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
| | - Sascha E Dho
- The Arthur and Sonia Labatt Brain Tumour Research Centre, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
- Program in Cell Biology, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
| | - Kamal Othman
- Department of Medical Biophysics, University of Toronto, 610 University Avenue, Toronto, ON, M5G 2M9, Canada
- The Arthur and Sonia Labatt Brain Tumour Research Centre, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
| | - Craig D Simpson
- SPARC BioCentre, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
| | - Jessica Lapierre
- The Arthur and Sonia Labatt Brain Tumour Research Centre, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
- Program in Cell Biology, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
| | - Andrew Bondoc
- The Arthur and Sonia Labatt Brain Tumour Research Centre, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
- Program in Cell Biology, 555 University Avenue, Toronto, ON, M5G 1X8, Canada
| | - C Jane McGlade
- Department of Medical Biophysics, University of Toronto, 610 University Avenue, Toronto, ON, M5G 2M9, Canada.
- The Arthur and Sonia Labatt Brain Tumour Research Centre, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
- Program in Cell Biology, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
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15
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Liu Y, Zhou Y, Yue H, Dou H, Rang X, Wang X, Xu C, Fu J. Identification of potential key genes and immune infiltration in Multiple sclerosis. Mult Scler Relat Disord 2022; 60:103748. [DOI: 10.1016/j.msard.2022.103748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2021] [Revised: 02/06/2022] [Accepted: 03/18/2022] [Indexed: 10/18/2022]
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16
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Jiang X, Yang L, Gao Q, Liu Y, Feng X, Ye S, Yang Z. The Role of RAB GTPases and Its Potential in Predicting Immunotherapy Response and Prognosis in Colorectal Cancer. Front Genet 2022; 13:828373. [PMID: 35154286 PMCID: PMC8833848 DOI: 10.3389/fgene.2022.828373] [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: 12/03/2021] [Accepted: 01/10/2022] [Indexed: 12/29/2022] Open
Abstract
Background: Colorectal cancer (CRC) is the third most common cancer worldwide, in which aberrant activation of the RAS signaling pathway appears frequently. RAB proteins (RABs) are the largest Ras small GTPases superfamily that regulates intracellular membrane trafficking pathways. The dysregulation of RABs have been found in various diseases including cancers. Compared with other members of Ras families, the roles of RABs in colorectal cancer are less well understood. Methods: We analyzed the differential expression and clinicopathological association of RABs in CRC using RNA sequencing and genotyping datasets from TCGA samples. Moreover, the biological function of RAB17 and RAB34 were investigated in CRC cell lines and patient samples. Results: Of the 62 RABs we analyzed in CRC, seven (RAB10, RAB11A, RAB15, RAB17, RAB19, RAB20, and RAB25) were significantly upregulated, while six (RAB6B, RAB9B, RAB12, RAB23, RAB31, and RAB34) were significantly downregulated in tumor tissues as compared to normal. We found that the upregulated-RABs, which were highly expressed in metabolic activated CRC subtype (CMS3), are associated with cell cycle related pathways enrichment and positively correlated with the mismatch repair (MMR) genes in CRC, implying their role in regulating cell metabolism and tumor growth. While, high expression of the downregulated-RABs were significantly associated with poor prognostic CRC mesenchymal subtypes (CMS4), immune checkpoint genes, and tumor infiltrating immune cells, indicating their role in predicting prognosis and immunotherapy efficacy. Interestingly, though RAB34 mRNA is downregulated in CRC, its high expression is significantly associated with poor prognosis. In vitro experiments showed that RAB17 overexpression can promote cell proliferation via cell cycle regulation. While, RAB34 overexpression can promote cell migration and invasion and is associated with PD-L1/PD-L2 expression increase in CRC cells. Conclusions: Our study showed that RABs may play important roles in regulating cell cycle and immune-related pathways, therefore might be potential biomarkers in predicting prognosis and immunotherapy response in CRC.
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17
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Bacolod MD, Fisher PB, Barany F. Multi-CpG linear regression models to accurately predict paclitaxel and docetaxel activity in cancer cell lines. Adv Cancer Res 2022; 158:233-292. [PMID: 36990534 DOI: 10.1016/bs.acr.2022.12.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The microtubule-targeting paclitaxel (PTX) and docetaxel (DTX) are widely used chemotherapeutic agents. However, the dysregulation of apoptotic processes, microtubule-binding proteins, and multi-drug resistance efflux and influx proteins can alter the efficacy of taxane drugs. In this review, we have created multi-CpG linear regression models to predict the activities of PTX and DTX drugs through the integration of publicly available pharmacological and genome-wide molecular profiling datasets generated using hundreds of cancer cell lines of diverse tissue of origin. Our findings indicate that linear regression models based on CpG methylation levels can predict PTX and DTX activities (log-fold change in viability relative to DMSO) with high precision. For example, a 287-CpG model predicts PTX activity at R2 of 0.985 among 399 cell lines. Just as precise (R2=0.996) is a 342-CpG model for predicting DTX activity in 390 cell lines. However, our predictive models, which employ a combination of mRNA expression and mutation as input variables, are less accurate compared to the CpG-based models. While a 290 mRNA/mutation model was able to predict PTX activity with R2 of 0.830 (for 546 cell lines), a 236 mRNA/mutation model could calculate DTX activity at R2 of 0.751 (for 531 cell lines). The CpG-based models restricted to lung cancer cell lines were also highly predictive (R2≥0.980) for PTX (74 CpGs, 88 cell lines) and DTX (58 CpGs, 83 cell lines). The underlying molecular biology behind taxane activity/resistance is evident in these models. Indeed, many of the genes represented in PTX or DTX CpG-based models have functionalities related to apoptosis (e.g., ACIN1, TP73, TNFRSF10B, DNASE1, DFFB, CREB1, BNIP3), and mitosis/microtubules (e.g., MAD1L1, ANAPC2, EML4, PARP3, CCT6A, JAKMIP1). Also represented are genes involved in epigenetic regulation (HDAC4, DNMT3B, and histone demethylases KDM4B, KDM4C, KDM2B, and KDM7A), and those that have never been previously linked to taxane activity (DIP2C, PTPRN2, TTC23, SHANK2). In summary, it is possible to accurately predict taxane activity in cell lines based entirely on methylation at multiple CpG sites.
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18
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Ding S, Li H, Zhang YH, Zhou X, Feng K, Li Z, Chen L, Huang T, Cai YD. Identification of Pan-Cancer Biomarkers Based on the Gene Expression Profiles of Cancer Cell Lines. Front Cell Dev Biol 2021; 9:781285. [PMID: 34917619 PMCID: PMC8669964 DOI: 10.3389/fcell.2021.781285] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 11/16/2021] [Indexed: 12/12/2022] Open
Abstract
There are many types of cancers. Although they share some hallmarks, such as proliferation and metastasis, they are still very different from many perspectives. They grow on different organ or tissues. Does each cancer have a unique gene expression pattern that makes it different from other cancer types? After the Cancer Genome Atlas (TCGA) project, there are more and more pan-cancer studies. Researchers want to get robust gene expression signature from pan-cancer patients. But there is large variance in cancer patients due to heterogeneity. To get robust results, the sample size will be too large to recruit. In this study, we tried another approach to get robust pan-cancer biomarkers by using the cell line data to reduce the variance. We applied several advanced computational methods to analyze the Cancer Cell Line Encyclopedia (CCLE) gene expression profiles which included 988 cell lines from 20 cancer types. Two feature selection methods, including Boruta, and max-relevance and min-redundancy methods, were applied to the cell line gene expression data one by one, generating a feature list. Such list was fed into incremental feature selection method, incorporating one classification algorithm, to extract biomarkers, construct optimal classifiers and decision rules. The optimal classifiers provided good performance, which can be useful tools to identify cell lines from different cancer types, whereas the biomarkers (e.g. NCKAP1, TNFRSF12A, LAMB2, FKBP9, PFN2, TOM1L1) and rules identified in this work may provide a meaningful and precise reference for differentiating multiple types of cancer and contribute to the personalized treatment of tumors.
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Affiliation(s)
- ShiJian Ding
- School of Life Sciences, Shanghai University, Shanghai, China
| | - Hao Li
- College of Food Engineering, Jilin Engineering Normal University, Changchun, China
| | - Yu-Hang Zhang
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - XianChao Zhou
- Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - KaiYan Feng
- Department of Computer Science, Guangdong AIB Polytechnic College, Guangzhou, China
| | - ZhanDong Li
- College of Food Engineering, Jilin Engineering Normal University, Changchun, China
| | - Lei Chen
- College of Information Engineering, Shanghai Maritime University, Shanghai, China
| | - Tao Huang
- CAS Key Laboratory of Computational Biology, Bio-Med Big Data Center, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China.,CAS Key Laboratory of Tissue Microenvironment and Tumor, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Yu-Dong Cai
- School of Life Sciences, Shanghai University, Shanghai, China
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Liu H, Zhou Y, Qiu H, Zhuang R, Han Y, Liu X, Qiu X, Wang Z, Xu L, Tan R, Hong W, Wang T. Rab26 suppresses migration and invasion of breast cancer cells through mediating autophagic degradation of phosphorylated Src. Cell Death Dis 2021; 12:284. [PMID: 33731709 PMCID: PMC7969620 DOI: 10.1038/s41419-021-03561-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Revised: 02/22/2021] [Accepted: 02/25/2021] [Indexed: 02/08/2023]
Abstract
Rab proteins play crucial roles in membrane trafficking. Some Rab proteins are implicated in cancer development through regulating protein sorting or degradation. In this study, we found that the expression of Rab26 is suppressed in the aggressive breast cancer cells as compared to the levels in non-invasive breast cancer cells. Over-expression of Rab26 inhibits cell migration and invasion, while Rab26 knockdown significantly promotes the migration and invasion of breast cancer cells. Rab26 reduces focal adhesion association of Src kinase and induces endosomal translocation of Src. Further experiments revealed that Rab26 mediates the autophagic degradation of phosphorylated Src through interacting with ATG16L1, consequently, resulting in the suppression of the migration and invasion ability of breast cancer cells.
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Affiliation(s)
- Huiying Liu
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China
| | - Yuxia Zhou
- grid.413458.f0000 0000 9330 9891School of Basic Medical Sciences, Guizhou Provincial Key Laboratory of Pathogenesis and Drug Research on Common Chronic Diseases, Guizhou Medical University, 550025 Guiyang, China
| | - Hantian Qiu
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China
| | - Ruijuan Zhuang
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China
| | - Yang Han
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China
| | - Xiaoqing Liu
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China
| | - Xi Qiu
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China
| | - Ziyan Wang
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China
| | - Liju Xu
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China
| | - Ran Tan
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China
| | - Wanjin Hong
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China ,grid.185448.40000 0004 0637 0221Institute of Molecular and Cell Biology, A STAR (Agency of ScienceTechnology and Research), 61 Biopolis Drive, Singapore, 138673 Singapore
| | - Tuanlao Wang
- grid.12955.3a0000 0001 2264 7233School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, 361005 Fujian, China
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Mayoral-Varo V, Sánchez-Bailón MP, Calcabrini A, García-Hernández M, Frezza V, Martín ME, González VM, Martín-Pérez J. The Relevance of the SH2 Domain for c-Src Functionality in Triple-Negative Breast Cancer Cells. Cancers (Basel) 2021; 13:cancers13030462. [PMID: 33530373 PMCID: PMC7865352 DOI: 10.3390/cancers13030462] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 01/15/2021] [Accepted: 01/19/2021] [Indexed: 02/05/2023] Open
Abstract
The role of Src family kinases (SFKs) in human tumors has been always associated with tyrosine kinase activity and much less attention has been given to the SH2 and SH3 adapter domains. Here, we studied the role of the c-Src-SH2 domain in triple-negative breast cancer (TNBC). To this end, SUM159PT and MDA-MB-231 human cell lines were employed as model systems. These cells conditionally expressed, under tetracycline control (Tet-On system), a c-Src variant with point-inactivating mutation of the SH2 adapter domain (R175L). The expression of this mutant reduced the self-renewal capability of the enriched population of breast cancer stem cells (BCSCs), demonstrating the importance of the SH2 adapter domain of c-Src in the mammary gland carcinogenesis. In addition, the analysis of anchorage-independent growth, proliferation, migration, and invasiveness, all processes associated with tumorigenesis, showed that the SH2 domain of c-Src plays a very relevant role in their regulation. Furthermore, the transfection of two different aptamers directed to SH2-c-Src in both SUM159PT and MDA-MB-231 cells induced inhibition of their proliferation, migration, and invasiveness, strengthening the hypothesis that this domain is highly involved in TNBC tumorigenesis. Therefore, the SH2 domain of c-Src could be a promising therapeutic target and combined treatments with inhibitors of c-Src kinase enzymatic activity may represent a new therapeutic strategy for patients with TNBC, whose prognosis is currently very negative.
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Affiliation(s)
- Víctor Mayoral-Varo
- Instituto de Investigaciones Biomédicas A, Sols/Dpto. Bioquímica (CSIC/UAM), Arturo Duperier 4, 28029 Madrid, Spain; (V.M.-V.); (M.P.S.-B.); (A.C.)
| | - María Pilar Sánchez-Bailón
- Instituto de Investigaciones Biomédicas A, Sols/Dpto. Bioquímica (CSIC/UAM), Arturo Duperier 4, 28029 Madrid, Spain; (V.M.-V.); (M.P.S.-B.); (A.C.)
- Max Delbrück Center for Molecular Medicine (MDC), Robert-Rössle-Str. 10, 13092 Berlin, Germany
| | - Annarica Calcabrini
- Instituto de Investigaciones Biomédicas A, Sols/Dpto. Bioquímica (CSIC/UAM), Arturo Duperier 4, 28029 Madrid, Spain; (V.M.-V.); (M.P.S.-B.); (A.C.)
- National Center for Drug Research and Evaluation, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161 Rome, Italy
| | - Marta García-Hernández
- Grupo de Aptámeros, Servicio Bioquímica-Investigación, IRYCIS-Hospital Ramón y Cajal. Ctra. Colmenar Viejo km 9100, 28034 Madrid, Spain; (M.G.-H.); (V.F.); (M.E.M.); (V.M.G.)
| | - Valerio Frezza
- Grupo de Aptámeros, Servicio Bioquímica-Investigación, IRYCIS-Hospital Ramón y Cajal. Ctra. Colmenar Viejo km 9100, 28034 Madrid, Spain; (M.G.-H.); (V.F.); (M.E.M.); (V.M.G.)
| | - María Elena Martín
- Grupo de Aptámeros, Servicio Bioquímica-Investigación, IRYCIS-Hospital Ramón y Cajal. Ctra. Colmenar Viejo km 9100, 28034 Madrid, Spain; (M.G.-H.); (V.F.); (M.E.M.); (V.M.G.)
| | - Víctor M. González
- Grupo de Aptámeros, Servicio Bioquímica-Investigación, IRYCIS-Hospital Ramón y Cajal. Ctra. Colmenar Viejo km 9100, 28034 Madrid, Spain; (M.G.-H.); (V.F.); (M.E.M.); (V.M.G.)
| | - Jorge Martín-Pérez
- Instituto de Investigaciones Biomédicas A, Sols/Dpto. Bioquímica (CSIC/UAM), Arturo Duperier 4, 28029 Madrid, Spain; (V.M.-V.); (M.P.S.-B.); (A.C.)
- Instituto de Investigaciones Sanitarias del Hospital La Paz (IdiPAZ), Paseo de la Castellana 261, 28046 Madrid, Spain
- Correspondence: or ; Tel.: +34-91-585-4416; Fax: +34-91-585-4401
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21
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Homma Y, Hiragi S, Fukuda M. Rab family of small GTPases: an updated view on their regulation and functions. FEBS J 2021; 288:36-55. [PMID: 32542850 PMCID: PMC7818423 DOI: 10.1111/febs.15453] [Citation(s) in RCA: 219] [Impact Index Per Article: 73.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 05/27/2020] [Accepted: 06/11/2020] [Indexed: 12/13/2022]
Abstract
The Rab family of small GTPases regulates intracellular membrane trafficking by orchestrating the biogenesis, transport, tethering, and fusion of membrane-bound organelles and vesicles. Like other small GTPases, Rabs cycle between two states, an active (GTP-loaded) state and an inactive (GDP-loaded) state, and their cycling is catalyzed by guanine nucleotide exchange factors (GEFs) and GTPase-activating proteins (GAPs). Because an active form of each Rab localizes on a specific organelle (or vesicle) and recruits various effector proteins to facilitate each step of membrane trafficking, knowing when and where Rabs are activated and what effectors Rabs recruit is crucial to understand their functions. Since the discovery of Rabs, they have been regarded as one of the central hubs for membrane trafficking, and numerous biochemical and genetic studies have revealed the mechanisms of Rab functions in recent years. The results of these studies have included the identification and characterization of novel GEFs, GAPs, and effectors, as well as post-translational modifications, for example, phosphorylation, of Rabs. Rab functions beyond the simple effector-recruiting model are also emerging. Furthermore, the recently developed CRISPR/Cas technology has enabled acceleration of knockout analyses in both animals and cultured cells and revealed previously unknown physiological roles of many Rabs. In this review article, we provide the most up-to-date and comprehensive lists of GEFs, GAPs, effectors, and knockout phenotypes of mammalian Rabs and discuss recent findings in regard to their regulation and functions.
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Affiliation(s)
- Yuta Homma
- Laboratory of Membrane Trafficking MechanismsDepartment of Integrative Life SciencesGraduate School of Life SciencesTohoku UniversitySendaiJapan
| | - Shu Hiragi
- Laboratory of Membrane Trafficking MechanismsDepartment of Integrative Life SciencesGraduate School of Life SciencesTohoku UniversitySendaiJapan
| | - Mitsunori Fukuda
- Laboratory of Membrane Trafficking MechanismsDepartment of Integrative Life SciencesGraduate School of Life SciencesTohoku UniversitySendaiJapan
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22
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Association between tumor mutation burden and immune infiltration in ovarian cancer. Int Immunopharmacol 2020; 89:107126. [PMID: 33189611 DOI: 10.1016/j.intimp.2020.107126] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 10/02/2020] [Accepted: 10/17/2020] [Indexed: 12/24/2022]
Abstract
BACKGROUND It remains unclear whether the tumor mutation burden (TMB) or a TMB-related signature could be prognostic indicators in ovarian cancer (OC), as potential correlations with immune infiltrates and immunotherapy responsiveness remains poorly understood. METHODS Data of 941 OC patients were collected from three datasets, including 587, 260, and 94 patients from The Cancer Genome Atlas (TCGA), GSE32062, and the International Cancer Genome Consortium (ICGC), respectively. TMB was calculated and correlations with clinical outcomes, immune infiltrates, and immunotherapy responsiveness were investigated in the TCGA OC cohort. Weighted gene co-expression network analysis was performed to identify TMB-related genes. A TMB-related signature was constructed and validated. RESULTS Higher TMB was associated with better survival in the TCGA and ICGC OC cohorts. The high-TMB group had higher CD8+ T-cell infiltration than the low-TMB group. No significant correlation was found between TMB and immunotherapy response. Furthermore, we selected 8 prognostic and TMB-related genes to construct a TMB-related signature that could distinguish between the high- and low-risk patients; its predictive power was validated in the GSE32062 and ICGC datasets. SubMap analysis suggested that patients in the low-risk group might have a better response to anti-PD1 therapy. CONCLUSIONS We examined the prognostic value of TMB and its potential association with immune cell infiltration and immunotherapy responsiveness in OC. A TMB-related prognostic signature consisting of 8 genes was developed and verified, which might be a promising prognostic signature for the prognosis of OC patients.
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23
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Sneeggen M, Guadagno NA, Progida C. Intracellular Transport in Cancer Metabolic Reprogramming. Front Cell Dev Biol 2020; 8:597608. [PMID: 33195279 PMCID: PMC7661548 DOI: 10.3389/fcell.2020.597608] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 10/12/2020] [Indexed: 12/12/2022] Open
Abstract
Tumor progression is a complex process consisting of several steps characterized by alterations in cellular behavior and morphology. These steps include uncontrolled cell division and proliferation, invasiveness and metastatic ability. Throughout these phases, cancer cells encounter a changing environment and a variety of metabolic stress. To meet their needs for energy while they proliferate and survive in their new environment, tumor cells need to continuously fine-tune their metabolism. The connection between intracellular transport and metabolic reprogramming during cancer progression is emerging as a central process of cellular adaptation to these changes. The trafficking of proteolytic enzymes, surface receptors, but also the regulation of downstream pathways, are all central to cancer progression. In this review, we summarize different hallmarks of cancer with a special focus on the role of intracellular trafficking in cell proliferation, epithelial to mesenchymal transition as well as invasion. We will further emphasize how intracellular trafficking contributes to the regulation of energy consumption and metabolism during these steps of cancer progression.
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Affiliation(s)
- Marte Sneeggen
- Department of Biosciences, University of Oslo, Oslo, Norway
| | | | - Cinzia Progida
- Department of Biosciences, University of Oslo, Oslo, Norway
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24
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Waschbüsch D, Khan AR. Phosphorylation of Rab GTPases in the regulation of membrane trafficking. Traffic 2020; 21:712-719. [PMID: 32969543 PMCID: PMC7756361 DOI: 10.1111/tra.12765] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 09/17/2020] [Accepted: 09/17/2020] [Indexed: 12/15/2022]
Abstract
Rab GTPases are master regulators of membrane trafficking in eukaryotic cells. Phosphorylation of Rab GTPases was characterized in the 1990s and there have been intermittent reports of its relevance to Rab functions. Phosphorylation as a regulatory mechanism has gained prominence through the identification of Rabs as physiological substrates of leucine‐rich repeat kinase 2 (LRRK2). LRRK2 is a Ser/Thr kinase that is associated with inherited and sporadic forms of Parkinson disease. In recent years, numerous kinases and their associated signaling pathways have been identified that lead to phosphorylation of Rabs. These emerging studies suggest that serine/threonine and tyrosine phosphorylation of Rabs may be a widespread and under‐appreciated mechanism for controlling their membrane trafficking functions. Here we survey current knowledge of Rab phosphorylation and discuss models for how this post‐translational mechanism exerts control of membrane trafficking.
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Affiliation(s)
- Dieter Waschbüsch
- School of Biochemistry and Immunology, Trinity College, Dublin, Ireland
| | - Amir R Khan
- School of Biochemistry and Immunology, Trinity College, Dublin, Ireland.,Division of Newborn Medicine, Boston Children's Hospital, Boston, Massachusetts, USA
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25
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O’Sullivan MJ, Lindsay AJ. The Endosomal Recycling Pathway-At the Crossroads of the Cell. Int J Mol Sci 2020; 21:ijms21176074. [PMID: 32842549 PMCID: PMC7503921 DOI: 10.3390/ijms21176074] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Revised: 08/17/2020] [Accepted: 08/21/2020] [Indexed: 12/14/2022] Open
Abstract
The endosomal recycling pathway lies at the heart of the membrane trafficking machinery in the cell. It plays a central role in determining the composition of the plasma membrane and is thus critical for normal cellular homeostasis. However, defective endosomal recycling has been linked to a wide range of diseases, including cancer and some of the most common neurological disorders. It is also frequently subverted by many diverse human pathogens in order to successfully infect cells. Despite its importance, endosomal recycling remains relatively understudied in comparison to the endocytic and secretory transport pathways. A greater understanding of the molecular mechanisms that support transport through the endosomal recycling pathway will provide deeper insights into the pathophysiology of disease and will likely identify new approaches for their detection and treatment. This review will provide an overview of the normal physiological role of the endosomal recycling pathway, describe the consequences when it malfunctions, and discuss potential strategies for modulating its activity.
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26
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An Y, Wang Q, Zhang L, Sun F, Zhang G, Dong H, Li Y, Peng Y, Li H, Zhu W, Ji S, Wang Y, Guo X. OSlgg: An Online Prognostic Biomarker Analysis Tool for Low-Grade Glioma. Front Oncol 2020; 10:1097. [PMID: 32775301 PMCID: PMC7381343 DOI: 10.3389/fonc.2020.01097] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Accepted: 06/02/2020] [Indexed: 12/28/2022] Open
Abstract
Glioma is the most frequent primary brain tumor that causes high mortality and morbidity with poor prognosis. There are four grades of gliomas, I to IV, among which grade II and III are low-grade glioma (LGG). Although less aggressive, LGG almost universally progresses to high-grade glioma and eventual causes death if lacking of intervention. Current LGG treatment mainly depends on surgical resection followed by radiotherapy and chemotherapy, but the survival rates of LGG patients are low. Therefore, it is necessary to use prognostic biomarkers to classify patients into subgroups with different risks and guide clinical managements. Using gene expression profiling and long-term follow-up data, we established an Online consensus Survival analysis tool for LGG named OSlgg. OSlgg is comprised of 720 LGG cases from two independent cohorts. To evaluate the prognostic potency of genes, OSlgg employs the Kaplan-Meier plot with hazard ratio and p value to assess the prognostic significance of genes of interest. The reliability of OSlgg was verified by analyzing 86 previously published prognostic biomarkers of LGG. Using OSlgg, we discovered two novel potential prognostic biomarkers (CD302 and FABP5) of LGG, and patients with the elevated expression of either CD302 or FABP5 present the unfavorable survival outcome. These two genes may be novel risk predictors for LGG patients after further validation. OSlgg is public and free to the users at http://bioinfo.henu.edu.cn/LGG/LGGList.jsp.
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Affiliation(s)
- Yang An
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
| | - Qiang Wang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
| | - Lu Zhang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
| | - Fengjie Sun
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
| | - Guosen Zhang
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
| | - Huan Dong
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
| | - Yingkun Li
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
| | - Yanyu Peng
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
| | - Haojie Li
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
| | - Wan Zhu
- Department of Anesthesia, Stanford University, Stanford, CA, United States
| | - Shaoping Ji
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
| | - Yunlong Wang
- Henan Bioengineering Research Center, Zhengzhou, China
| | - Xiangqian Guo
- Department of Predictive Medicine, Institute of Biomedical Informatics, Cell Signal Transduction Laboratory, Bioinformatics Center, Henan Provincial Engineering Center for Tumor Molecular Medicine, Kaifeng Key Laboratory of Cell Signal Transduction, School of Basic Medical Sciences, School of Software, Henan University, Kaifeng, China
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Xi Y, Shen W, Jin C, Wang L, Yu B. PVT1 Promotes the Proliferation and Migration of Non-Small Cell Lung Cancer via Regulating miR-148/RAB34 Signal Axis. Onco Targets Ther 2020; 13:1819-1832. [PMID: 32184617 PMCID: PMC7054901 DOI: 10.2147/ott.s222898] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 10/22/2019] [Indexed: 12/21/2022] Open
Abstract
Objective It has been verified that long non-coding RNAs (lncRNAs) play critical roles in the development of human cancers. Increasing evidence indicates that lncRNA human plasmacytoma variant translocation1 (PVT1) was dysregulated in non-small cell lung cancer (NSCLC) which is the leading cause of cancer-related death. However, the precise mechanism underlying the effect of PVT1 remains elusive. Our research focused on the correlation of PVT1 to miR-148 and RAB34 in NSCLC. Methods The quantitative real-time PCR (qRT-PCR) and western blot assay were used to detect gene and protein expression in NSCLC tissues and cells. CCK8, colony formation, transwell and wound healing assays were performed to evaluate the cell function of NSCLC cells. Dual-luciferase activity assay and RNA pull down assays were performed to verify the interaction between miR-148 and its targets. A xenograft test was conducted to detect the impact of RAB34 on tumor development in vitro. Results In NSCLC tissues and cells, PVT1 and RAB34 were up-regulated, and miR-148 was down-regulated. Overexpression of PVT1 was capable of promoting NSCLC cell proliferation and migration which could be reversed by miR-148 restoration or RAB34 knock down. Also, our data firstly determined that the down-regulation of RAB34 had inhibitor effects while the up-regulation of RAB34 had promotive effects on tumor growth in vitro and in vivo. Conclusion Those findings indicated that the signal pathway PVT1/miR-148/RAB34 play critical roles in the progression of NSCLC could be proposed in NSCLC as a possible diagnosis or therapeutic targets.
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Affiliation(s)
- Yong Xi
- Department of Thoracic Surgery, Ningbo Medical Center Lihuili Eastern Hospital, Ningbo, Zhejiang 315040, People's Republic of China
| | - Weiyu Shen
- Department of Thoracic Surgery, Ningbo Medical Center Lihuili Eastern Hospital, Ningbo, Zhejiang 315040, People's Republic of China
| | - Chenghua Jin
- Department of Thoracic Surgery, Ningbo Medical Center Lihuili Eastern Hospital, Ningbo, Zhejiang 315040, People's Republic of China
| | - Lijie Wang
- Department of Thoracic Surgery, Ningbo Medical Center Lihuili Eastern Hospital, Ningbo, Zhejiang 315040, People's Republic of China
| | - Bengtong Yu
- Department of Thoracic Surgery, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, People's Republic of China
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Zhou Y, Liu Z, Zhang S, Zhuang R, Liu H, Liu X, Qiu X, Zhang M, Zheng Y, Li L, Hong W, Wang T. RILP Restricts Insulin Secretion Through Mediating Lysosomal Degradation of Proinsulin. Diabetes 2020; 69:67-82. [PMID: 31624142 DOI: 10.2337/db19-0086] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Accepted: 10/06/2019] [Indexed: 11/13/2022]
Abstract
Insulin secretion is tightly regulated by membrane trafficking. RILP (Rab7 interacting lysosomal protein) regulates the endocytic trafficking, but its role in insulin secretion has not been investigated. In this study, we found that overexpression of RILP inhibited insulin secretion in both the β-cell lines and freshly isolated islets. Consequently, the expression of RILP in islets suppressed the ability to recover the glucose homeostasis in type 1 diabetes mice upon transplantation. Of physiological relevance is that RILP expression was upregulated in the diabetic mouse islets. Mechanistically, overexpression of RILP induced insulin granule clustering, decreased the number of proinsulin-containing granules in β-cells, and significantly promoted proinsulin degradation. Conversely, RILP depletion sustained proinsulin and increased insulin secretion. The proinsulin degradation induced by RILP expression was inhibited by lysosomal inhibitors and was Rab7-dependent. Finally, we showed that RILP interacts with insulin granule-associated Rab26 to restrict insulin secretion. This study presents a new pathway regulating insulin secretion and mechanically demonstrates a novel function of RILP in modulating insulin secretion through mediating the lysosomal degradation of proinsulin.
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Affiliation(s)
- Yuxia Zhou
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
| | - Zhiyu Liu
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
| | - Shengmei Zhang
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
| | - Ruijuan Zhuang
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
| | - Huiying Liu
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
| | - Xiaoqing Liu
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
| | - Xi Qiu
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
| | - Ming Zhang
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
| | - Yanpan Zheng
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
| | - Liangcheng Li
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
| | - Wanjin Hong
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
- Institute of Molecular and Cell Biology, A STAR (Agency of Science, Technology and Research), Singapore, Singapore
| | - Tuanlao Wang
- School of Pharmaceutical Sciences, State Key Laboratory of Cellular Stress Biology, Fujian Provincial Key Laboratory of Innovative Drug Target Research, Xiamen University, Fujian, China
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29
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Abstract
Integrins are heterodimeric cell surface receptors ensuring the mechanical connection between cells and the extracellular matrix. In addition to the anchorage of cells to the extracellular matrix, these receptors have critical functions in intracellular signaling, but are also taking center stage in many physiological and pathological conditions. In this review, we provide some historical, structural, and physiological notes so that the diverse functions of these receptors can be appreciated and put into the context of the emerging field of mechanobiology. We propose that the exciting journey of the exploration of these receptors will continue for at least another new generation of researchers.
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Affiliation(s)
- Michael Bachmann
- Department of Cell Physiology and Metabolism, University of Geneva, Centre Médical Universitaire , Geneva , Switzerland ; and Faculty of Medicine and Health Technology, Tampere University, and Fimlab Laboratories , Tampere , Finland
| | - Sampo Kukkurainen
- Department of Cell Physiology and Metabolism, University of Geneva, Centre Médical Universitaire , Geneva , Switzerland ; and Faculty of Medicine and Health Technology, Tampere University, and Fimlab Laboratories , Tampere , Finland
| | - Vesa P Hytönen
- Department of Cell Physiology and Metabolism, University of Geneva, Centre Médical Universitaire , Geneva , Switzerland ; and Faculty of Medicine and Health Technology, Tampere University, and Fimlab Laboratories , Tampere , Finland
| | - Bernhard Wehrle-Haller
- Department of Cell Physiology and Metabolism, University of Geneva, Centre Médical Universitaire , Geneva , Switzerland ; and Faculty of Medicine and Health Technology, Tampere University, and Fimlab Laboratories , Tampere , Finland
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30
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Evans MF, Vacek PM, Sprague BL, Stein GS, Stein JL, Weaver DL. Microarray and RNA in situ hybridization assay for recurrence risk markers of breast carcinoma and ductal carcinoma in situ: Evidence supporting the use of diverse pathways panels. J Cell Biochem 2019; 121:1736-1746. [PMID: 31595577 DOI: 10.1002/jcb.29409] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Accepted: 09/26/2019] [Indexed: 01/08/2023]
Abstract
Breast tumor stratification by recurrence-risk is critical for deciding patient treatment. Here an approach combining cancer pathways microarray data complemented by RNA in situ hybridization (ISH) was investigated as a means for recurrence marker discovery and visualization in pathology specimens. LncRNA and mRNA expressions in breast carcinomas with low (n = 8) vs intermediate/high (n = 10) recurrence-scores as estimated by 21-gene assay and pathology review were compared by microarray assay. Tissue microarrays were prepared from breast carcinomas (n = 20) and ductal carcinoma in situ (DCIS) specimens (n = 84 patients) with known outcomes. Thirteen RNA ISH assays were performed: lncRNAs (BBC3-1, FER3, RAD21-AS1, ZEB1-2) and mRNAs (GLO1, GLTSCR2, TGFB1, TLR2) (implicated by the microarray data); MKI67; a pooled panel of recurrence-associated proliferation markers (BIRC5, Cyclin B1, MKI67, MYBL2, STK15); a pooled panel of non-proliferation recurrence-associated markers (CEACAM5, HTF9C, NDRG1, TP53, SLC7A5); and lncRNAs H19 and HOTAIR. Seven lncRNAs and 10 mRNAs showed significantly (P < .05) altered upregulation or downregulation by microarray assay: carcinoma RNA ISH staining did not mirror these patterns. HOTAIR staining was associated with a higher breast cancer recurrence score (P = .0152); qualitatively, H19 was massively expressed in a metaplastic triple negative breast carcinoma. Among the DCIS cohort, significant associations with multiple outcome variables were noted for TGFB1 and the non-proliferation panel (P-value range: .0001 to .047); proliferation panel staining showed an association with increasing DCIS grade (P = .0269) but not with outcomes. The findings support recurrence-risk estimation by the use of multi-marker panels that are representative of diverse cellular pathways rather than over-reliance on proliferation targets. H19, HOTAIR, and TGFB1 RNA ISH show potential for selective diagnostics.
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Affiliation(s)
- Mark Francis Evans
- Department of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont.,University of Vermont Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Pamela Mary Vacek
- University of Vermont Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont.,Department of Medical Biostatistics, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Brian Lee Sprague
- University of Vermont Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont.,Department of Surgery, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Gary Stephen Stein
- University of Vermont Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont.,Department of Biochemistry, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Janet Lee Stein
- University of Vermont Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont.,Department of Biochemistry, Larner College of Medicine, University of Vermont, Burlington, Vermont
| | - Donald Lee Weaver
- Department of Pathology & Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, Vermont.,University of Vermont Cancer Center, Larner College of Medicine, University of Vermont, Burlington, Vermont.,Department of Pathology & Laboratory Medicine, University of Vermont Medical Center, Burlington, Vermont
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A Humanized Yeast Phenomic Model of Deoxycytidine Kinase to Predict Genetic Buffering of Nucleoside Analog Cytotoxicity. Genes (Basel) 2019; 10:genes10100770. [PMID: 31575041 PMCID: PMC6826991 DOI: 10.3390/genes10100770] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Revised: 09/17/2019] [Accepted: 09/23/2019] [Indexed: 12/22/2022] Open
Abstract
Knowledge about synthetic lethality can be applied to enhance the efficacy of anticancer therapies in individual patients harboring genetic alterations in their cancer that specifically render it vulnerable. We investigated the potential for high-resolution phenomic analysis in yeast to predict such genetic vulnerabilities by systematic, comprehensive, and quantitative assessment of drug–gene interaction for gemcitabine and cytarabine, substrates of deoxycytidine kinase that have similar molecular structures yet distinct antitumor efficacy. Human deoxycytidine kinase (dCK) was conditionally expressed in the Saccharomyces cerevisiae genomic library of knockout and knockdown (YKO/KD) strains, to globally and quantitatively characterize differential drug–gene interaction for gemcitabine and cytarabine. Pathway enrichment analysis revealed that autophagy, histone modification, chromatin remodeling, and apoptosis-related processes influence gemcitabine specifically, while drug–gene interaction specific to cytarabine was less enriched in gene ontology. Processes having influence over both drugs were DNA repair and integrity checkpoints and vesicle transport and fusion. Non-gene ontology (GO)-enriched genes were also informative. Yeast phenomic and cancer cell line pharmacogenomics data were integrated to identify yeast–human homologs with correlated differential gene expression and drug efficacy, thus providing a unique resource to predict whether differential gene expression observed in cancer genetic profiles are causal in tumor-specific responses to cytotoxic agents.
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32
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Moreno-Layseca P, Icha J, Hamidi H, Ivaska J. Integrin trafficking in cells and tissues. Nat Cell Biol 2019; 21:122-132. [PMID: 30602723 PMCID: PMC6597357 DOI: 10.1038/s41556-018-0223-z] [Citation(s) in RCA: 236] [Impact Index Per Article: 47.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Accepted: 09/25/2018] [Indexed: 12/28/2022]
Abstract
Cell adhesion to the extracellular matrix is fundamental to metazoan multicellularity and is accomplished primarily through the integrin family of cell-surface receptors. Integrins are internalized and enter the endocytic-exocytic pathway before being recycled back to the plasma membrane. The trafficking of this extensive protein family is regulated in multiple context-dependent ways to modulate integrin function in the cell. Here, we discuss recent advances in understanding the mechanisms and cellular roles of integrin endocytic trafficking.
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Affiliation(s)
- Paulina Moreno-Layseca
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
| | - Jaroslav Icha
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
| | - Hellyeh Hamidi
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
| | - Johanna Ivaska
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland.
- Department of Biochemistry, University of Turku, Turku, Finland.
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