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Aepala MR, Peiris MN, Jiang Z, Yang W, Meyer AN, Donoghue DJ. Nefarious NTRK oncogenic fusions in pediatric sarcomas: Too many to Trk. Cytokine Growth Factor Rev 2022; 68:93-106. [PMID: 36153202 DOI: 10.1016/j.cytogfr.2022.08.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 01/30/2023]
Abstract
Neurotrophic Tyrosine Receptor Kinase (NTRK) genes undergo chromosomal translocations to create novel open reading frames coding for oncogenic fusion proteins; the N-terminal portion, donated by various partner genes, becomes fused to the tyrosine kinase domain of either NTRK1, NTRK2, or NTRK3. NTRK fusion proteins have been identified as driver oncogenes in a wide variety of tumors over the past three decades, including Pediatric Gliomas, Papillary Thyroid Carcinoma, Spitzoid Neoplasms, Glioblastoma, and additional tumors. Importantly, NTRK fusions function as drivers of pediatric sarcomas, accounting for approximately 15% of childhood cancers including Infantile Fibrosarcoma (IFS), a subset of pediatric soft tissue sarcoma (STS). While tyrosine kinase inhibitors (TKIs), such as larotrectinib and entrectinib, have demonstrated profound results against NTRK fusion-positive cancers, acquired resistance to these TKIs has resulted in the formation of gatekeeper, solvent-front, and compound mutations. We present a comprehensive compilation of oncogenic fusions involving NTRKs focusing specifically on pediatric STS, examining their biological signaling pathways and mechanisms of activation. The importance of an obligatory dimerization or multimerization domain, invariably donated by the N-terminal fusion partner, is discussed using characteristic fusions that occur in pediatric sarcomas. In addition, examples are presented of oncogenic fusion proteins in which the N-terminal partners may contribute additional biological activities beyond an oligomerization domain. Lastly, therapeutic approaches to the treatment of pediatric sarcoma will be presented, using first generation and second-generation agents such as selitrectinib and repotrectinib.
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Affiliation(s)
- Megha R Aepala
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093-0367, USA
| | - Malalage N Peiris
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093-0367, USA
| | - Zian Jiang
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093-0367, USA
| | - Wei Yang
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093-0367, USA
| | - April N Meyer
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093-0367, USA
| | - Daniel J Donoghue
- Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, CA 92093-0367, USA; UCSD Moores Cancer Center, University of California San Diego, La Jolla, CA 92093-0367, USA.
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2
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Zhang L, Zhang B, Li L, Ye Y, Wu Y, Yuan Q, Xu W, Wen X, Guo X, Nian S. Novel targets for immunotherapy associated with exhausted CD8 + T cells in cancer. J Cancer Res Clin Oncol 2022; 149:2243-2258. [PMID: 36107246 DOI: 10.1007/s00432-022-04326-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 08/24/2022] [Indexed: 11/25/2022]
Abstract
In response to prolonged stimulation by tumour antigens, T cells gradually become exhausted. There is growing evidence that exhausted T cells not only lose their potent effector functions but also express multiple inhibitory receptors. Checkpoint blockade (CPB) therapy can improve cancer by reactivating exhausted effector cell function, leading to durable clinical responses, but further improvements are needed given the limited number of patients who benefit from treatment, even with autoimmune complications. Here, we suggest, based on recent advances that tumour antigens are the primary culprits of exhaustion, followed by some immune cells and cytokines that also play an accomplice role in the exhaustion process, and we also propose that chronic stress-induced hypoxia and hormones also play an important role in promoting T-cell exhaustion. Understanding the classification of exhausted CD8+ T-cell subpopulations and their functions is important for the effectiveness of immune checkpoint blockade therapies. We mapped the differentiation of T-cell exhausted subpopulations by changes in transcription factors, indicating that T-cell exhaustion is a dynamic developmental process. Finally, we summarized the novel immune checkpoints associated with depletion in recent years and combined them with bioinformatics to construct a web of exhaustion-related immune checkpoints with the aim of finding novel therapeutic targets associated with T-cell exhaustion in malignant tumours, aiming to revive the killing ability of exhausted T cells and restore anti-tumour immunity through combined targeted immunotherapy.
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Affiliation(s)
- Lulu Zhang
- Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University, No 1, Xianglin road, Luzhou City, 646000, Sichuan Province, China
| | - Bo Zhang
- Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University, No 1, Xianglin road, Luzhou City, 646000, Sichuan Province, China
| | - Lin Li
- Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University, No 1, Xianglin road, Luzhou City, 646000, Sichuan Province, China
| | - Yingchun Ye
- Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University, No 1, Xianglin road, Luzhou City, 646000, Sichuan Province, China
| | - Yuchuan Wu
- Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University, No 1, Xianglin road, Luzhou City, 646000, Sichuan Province, China
| | - Qing Yuan
- Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University, No 1, Xianglin road, Luzhou City, 646000, Sichuan Province, China
| | - Wenfeng Xu
- Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University, No 1, Xianglin road, Luzhou City, 646000, Sichuan Province, China
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Sichuan, 646000, People's Republic of China
| | - Xue Wen
- Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University, No 1, Xianglin road, Luzhou City, 646000, Sichuan Province, China
| | - Xiyuan Guo
- Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University, No 1, Xianglin road, Luzhou City, 646000, Sichuan Province, China.
- Division of Clinical Chemistry, Department of Medical Technology, Faculty of Associated Medical Sciences, Chiang Mai University, Chiang Mai, 50200, Thailand.
| | - Siji Nian
- Public Center of Experimental Technology, The School of Basic Medical Sciences, Southwest Medical University, No 1, Xianglin road, Luzhou City, 646000, Sichuan Province, China.
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Cancer stem cell transcriptome landscape reveals biomarkers driving breast carcinoma heterogeneity. Breast Cancer Res Treat 2021; 186:89-98. [PMID: 33389402 DOI: 10.1007/s10549-020-06045-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Accepted: 12/02/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND Breast carcinomas are heterogeneous diseases with distinct clinical outcomes and cancer stem cell (CSC) percentages. Exploring breast carcinoma stem cell landscape could help understand the heterogeneity of such cancers with profound clinical relevance. METHODS We conducted transcriptional profiling of CSCs and non-stem cancer cells isolated from three triple-negative breast carcinoma cell lines, analyzed the CSC transcriptome landscape that drives breast carcinoma heterogeneity through differentially expressed gene identification, gene ontology (GO) and pathway enrichment analyses as well as network construction, and experimentally validated the network hub gene. RESULTS We identified a CSC feature panel consisting of 122 and 381 over-represented and under-expressed genes capable of differentiating breast carcinoma subtypes. We also underpinned the prominent roles of the PI3K-AKT pathway in empowering carcinoma cells with uncontrolled proliferative and migrative abilities that ultimately foster cancer stemness, and revealed the potential promotive roles of ATP6V1B1 on breast carcinoma stemness through functional in vitro studies. CONCLUSIONS Our study contributes in identifying a CSC feature panel for breast carcinomas that drives breast carcinoma heterogeneity at the transcriptional level, which provides a reservoir for diagnostic marker and/or therapeutic target identification once experimentally validated as demonstrated by ATP6V1B1.
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Melo CM, Prado HP, Attie GA, Ruiz DL, Girão MJBC, Pinhal MADS. In silico investigation of heparanase-correlated genes in breast cancer subtypes. EINSTEIN-SAO PAULO 2020; 18:eAO5447. [PMID: 33053017 PMCID: PMC7531901 DOI: 10.31744/einstein_journal/2020ao5447] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2019] [Accepted: 02/16/2020] [Indexed: 11/26/2022] Open
Abstract
Objective To investigate the possible genes that may be related to the mechanisms that modulate heparanase-1. Methods The analysis was conducted at Universidade Federal de São Paulo, on the data provided by: The Cancer Genome Atlas, University of California Santa Cruz Genome Browser, Kyoto Encyclopedia of Genes and Genomes Pathway Database, Database for Annotation, Visualization and Integrated Discovery Bioinformatics Database and the softwares cBioPortal and Ingenuity Pathway Analysis. Results Using messenger RNA expression pattern of different molecular subtypes of breast cancer, we proposed that heparinase-1 was co-related with its progression. In addition, genes that were analyzed presented co-expression with heparanase-1. The results that showed that heparanase-1 co-expressed with phosphoinositide 3-kinase adapter protein 1, sialic acid-binding immunoglobulin-like lectin 7, and leukocyte-associated immunoglobulin-like receptor 1 are directed related with immune system evasion during breast cancer progression. Furthermore, cathepsin L was co-expressed with heparanase-1 and transformed inactive heparanase-1 form into active heparanase-1, triggering extracellular matrix remodeling, which contributes to enhanced tumor-host interaction of the tumor. Conclusion The signaling pathway analysis using bioinformatics tools gives supporting evidence of possible mechanisms related to breast cancer development. Evasion genes of the immune system co-expressed with heparanase-1, a enzyme related with tumor progression.
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The Receptor Tyrosine Kinase TrkA Is Increased and Targetable in HER2-Positive Breast Cancer. Biomolecules 2020; 10:biom10091329. [PMID: 32957504 PMCID: PMC7564775 DOI: 10.3390/biom10091329] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 09/13/2020] [Accepted: 09/15/2020] [Indexed: 12/21/2022] Open
Abstract
The tyrosine kinase receptor A (NTRK1/TrkA) is increasingly regarded as a therapeutic target in oncology. In breast cancer, TrkA contributes to metastasis but the clinicopathological significance remains unclear. In this study, TrkA expression was assessed via immunohistochemistry of 158 invasive ductal carcinomas (IDC), 158 invasive lobular carcinomas (ILC) and 50 ductal carcinomas in situ (DCIS). TrkA was expressed in cancer epithelial and myoepithelial cells, with higher levels of TrkA positively associated with IDC (39% of cases) (p < 0.0001). Interestingly, TrkA was significantly increased in tumours expressing the human epidermal growth factor receptor-2 (HER2), with expression in 49% of HER2-positive compared to 25% of HER2-negative tumours (p = 0.0027). A panel of breast cancer cells were used to confirm TrkA protein expression, demonstrating higher levels of TrkA (total and phosphorylated) in HER2-positive cell lines. Functional investigations using four different HER2-positive breast cancer cell lines indicated that the Trk tyrosine kinase inhibitor GNF-5837 reduced cell viability, through decreased phospho-TrkA (Tyr490) and downstream AKT (Ser473) activation, but did not display synergy with Herceptin. Overall, these data highlight a relationship between the tyrosine kinase receptors TrkA and HER2 and suggest the potential of TrkA as a novel or adjunct target for HER2-positive breast tumours.
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The Analysis of PTPN6 for Bladder Cancer: An Exploratory Study Based on TCGA. DISEASE MARKERS 2020; 2020:4312629. [PMID: 32454905 PMCID: PMC7243021 DOI: 10.1155/2020/4312629] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 04/22/2020] [Indexed: 12/13/2022]
Abstract
PTPN6 (protein tyrosine phosphatase nonreceptor type 6), a tyrosine phosphatase, is known to be signaling molecules that regulate a variety of cellular processes including cell growth, differentiation, mitotic cycle, and oncogenic transformation. Previous studies have demonstrated that PTPN6 expression is relatively elevated in several malignancies. However, the role of PTPN6 in bladder cancer (BC) remains unclear. The purpose of this study was to explore the prognostic value of PTPN6 in BC. RNA-seq data from The Cancer Genome Atlas (TCGA) was used to identify the expression level of PTPN6 in BC. The relationship between clinical pathologic features and PTPN6 were analyzed with the Wilcoxon signed-rank test. The prognostic and predictive value of PTPN6 was evaluated by survival analysis and nomogram. Gene Set Enrichment Analysis (GSEA) was conducted to explore the potential molecular mechanisms of PTPN6 in BC. Finally, Tumor Immune Estimation Resource (TIMER) was applied to investigate the relationship between PTPN6 and immune cell infiltration in the tumor microenvironment. Results indicated that PTPN6 was overexpressed in BC tissues compared with normal bladder tissues and was significantly correlated with grade, stage, T, and N. Survival analysis showed that low expression of PTPN6 was significantly related to the poor overall survival (OS) in BC patients. Coexpression analysis showed that PTPN6 and TNFRSF14 (Tumor necrosis factor receptor superfamily member 14) have a close correlation in BC. GSEA showed that multiple cancer-associated signaling pathways are differentially enriched in the PTPN6 high expression phenotype. Moreover, the expression level of PTPN6 was positively associated with the infiltration of B cells, CD4+T cells, dendritic cells, and neutrophils and negatively associated with CD8+ T cells and macrophages in BC. In conclusion, we identified that PTPN6 may be a novel prognostic biomarker in BC based on the TCGA database. Further clinical trials are needed to confirm our observations and mechanisms underlying the prognostic value of PTPN6 in BC also deserve further experimental exploration.
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Estrogen receptor-α regulation of microRNA-590 targets FAM171A1-a modifier of breast cancer invasiveness. Oncogenesis 2019; 8:5. [PMID: 30631046 PMCID: PMC6328622 DOI: 10.1038/s41389-018-0113-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 11/12/2018] [Accepted: 12/11/2018] [Indexed: 12/27/2022] Open
Abstract
The pathobiology and aggressiveness of the triple negative breast cancer (TNBC) are influenced by genes that are preferentially expressed in TNBC cells. However, the nature of such genes with the role in invasiveness of TNBC cells is not fully understood. Here, we identified FAM171A1, member (A1) of the family with sequence similarity 171, as an overexpressed candidate gene in TNBC cells and tumors as compared to estrogen receptor-alpha (ERα) positive breast cancer. We found that the expression of FAM171A1 correlates well with the loss of ERα as well as its newly identified target miR590-5p in TNBC but not in ERα-positive cells. In addition, we report that ERα regulates FAM171A1 expression through a mechanism which involves ERα stimulation of miR590-5p expression via binding to its promoter, and in-turn, miR590-5p suppression of FAM171A1 expression. Further, we found that the levels of FAM171A1 correlate well with cancer cell aggressiveness as depletion or overexpression of FAM171A1 confers reduced or increased ability of TNBC cells to form mammospheres, respectively in accordance with the previous report of increased mammosphere formation potential of metastatic cells. In brief, results presented here have demonstrated that ERα regulation of FAM171A1 expression via miR590-5p explains the molecular basis of the noticed reduced levels of FAM171A1 in ER-positive breast cancer cells and that FAM171A1 is a preferably TNBC- overexpressed gene. Further, the noted loss of ERα-miR590-5p axis may upregulate the expression of FAM171A1 and consequently, resulting aggressiveness of TNBC cells. These findings suggest that FAM171A1 might represent a potentially novel therapeutic target for TNBC tumors.
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The presence of Y674/Y675 phosphorylated NTRK1 via TP53 repression of PTPN6 expression as a potential prognostic marker in neuroblastoma. Hum Pathol 2018; 86:182-192. [PMID: 30594749 DOI: 10.1016/j.humpath.2018.12.003] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 12/05/2018] [Accepted: 12/06/2018] [Indexed: 01/18/2023]
Abstract
The tumor suppressor TP53 promotes nerve growth factor receptor (NTRK1) -Y674/Y675 phosphorylation (NTRK1-pY674/pY675) via repression of the NTRK1 phosphatase PTPN6 in a ligand-independent manner, resulting in suppression of breast cancer cell proliferation. Moreover, NTRK1-pY674/pY675 together with low levels of PTPN6 and TP53 expression is associated with favorable disease-free survival of breast cancer patients. We determined whether in neuroblastoma this protein expression pattern impacts relapse-free survival (RFS). NTRK1-pY674/pY675, PTPN6, and TP53 expression was assessed in 98 neuroblastoma samples by immunohistochemistry. Association between expression levels and RFS was investigated by multivariate and Kaplan-Meier analysis. Mutant or wild-type TP53 was identified by sequencing tumor DNA. Tumors expressing NTRK1-pY674/pY675 and low or undetectable levels of PTPN6 and TP53 were significantly associated with 5-year RFS (P = .014) when the dataset was stratified by MYCN amplification, segmental chromosomal abnormalities and histology. Similar results were observed with tumors expressing wild-type TP53, NTRK1-pY674/pY675 and low or undetectable levels of PTPN6. Kaplan-Meier analysis demonstrated a significant correlation (P = .004), with a 50% probability of RFS (median survival 4.73 years) when present compared with 19.51% (median survival 11.63 months) when absent. Similar results were seen with non-amplified MYCN or unfavorable/undifferentiating samples and tumors from patients aged 18 months or less. Importantly, NTRK1-pY674/pY675 is an independent predictor of improved RFS. These results strongly suggest that NTRK1-pY674/pY675 together with wild-type TP53 and undetectable or low levels of PTPN6 expression is a potential biomarker of improved RFS of neuroblastoma patients. The predictive value of NTRK1-pY674/pY675 together with wild-type TP53 and low PTPN6 expression could contribute to neuroblastoma patient prognosis.
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Identification of Significant Pathways Induced by PAX5 Haploinsufficiency Based on Protein-Protein Interaction Networks and Cluster Analysis in Raji Cell Line. BIOMED RESEARCH INTERNATIONAL 2017; 2017:5326370. [PMID: 28316978 PMCID: PMC5339483 DOI: 10.1155/2017/5326370] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Revised: 01/23/2017] [Accepted: 01/30/2017] [Indexed: 12/02/2022]
Abstract
PAX5 encodes a transcription factor essential for B-cell differentiation, and PAX5 haploinsufficiency is involved in tumorigenesis. There were few studies on how PAX5 haploinsufficiency regulated genes expression to promote tumorigenesis. In this study, we constructed the cell model of PAX5 haploinsufficiency using gene editing technology in Raji cells, detected differentially expressed genes in PAX5 haploinsufficiency Raji cells, and used protein-protein interaction networks and cluster analysis to comprehensively investigate the cellular pathways involved in PAX5 haploinsufficiency. The clusters of gene transcription, inflammatory and immune response, and cancer pathways were identified as three important pathways associated with PAX5 haploinsufficiency in Raji cells. These changes hinted that the mechanism of PAX5 haploinsufficiency promoting tumorigenesis may be related to genomic instability, immune tolerance, and tumor pathways.
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Carmona G, Perera U, Gillett C, Naba A, Law AL, Sharma VP, Wang J, Wyckoff J, Balsamo M, Mosis F, De Piano M, Monypenny J, Woodman N, McConnell RE, Mouneimne G, Van Hemelrijck M, Cao Y, Condeelis J, Hynes RO, Gertler FB, Krause M. Lamellipodin promotes invasive 3D cancer cell migration via regulated interactions with Ena/VASP and SCAR/WAVE. Oncogene 2016; 35:5155-69. [PMID: 26996666 PMCID: PMC5031503 DOI: 10.1038/onc.2016.47] [Citation(s) in RCA: 60] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2015] [Revised: 01/20/2016] [Accepted: 02/08/2016] [Indexed: 12/16/2022]
Abstract
Cancer invasion is a hallmark of metastasis. The mesenchymal mode of cancer cell invasion is mediated by elongated membrane protrusions driven by the assembly of branched F-actin networks. How deregulation of actin regulators promotes cancer cell invasion is still enigmatic. We report that increased expression and membrane localization of the actin regulator Lamellipodin correlate with reduced metastasis-free survival and poor prognosis in breast cancer patients. In agreement, we find that Lamellipodin depletion reduced lung metastasis in an orthotopic mouse breast cancer model. Invasive 3D cancer cell migration as well as invadopodia formation and matrix degradation was impaired upon Lamellipodin depletion. Mechanistically, we show that Lamellipodin promotes invasive 3D cancer cell migration via both actin-elongating Ena/VASP proteins and the Scar/WAVE complex, which stimulates actin branching. In contrast, Lamellipodin interaction with Scar/WAVE but not with Ena/VASP is required for random 2D cell migration. We identified a phosphorylation-dependent mechanism that regulates selective recruitment of these effectors to Lamellipodin: Abl-mediated Lamellipodin phosphorylation promotes its association with both Scar/WAVE and Ena/VASP, whereas Src-dependent phosphorylation enhances binding to Scar/WAVE but not to Ena/VASP. Through these selective, regulated interactions Lamellipodin mediates directional sensing of epidermal growth factor (EGF) gradients and invasive 3D migration of breast cancer cells. Our findings imply that increased Lamellipodin levels enhance Ena/VASP and Scar/WAVE activities at the plasma membrane to promote 3D invasion and metastasis.
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Affiliation(s)
- G Carmona
- Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - U Perera
- King's College London, Randall Division of Cell and Molecular Biophysics, London, UK
| | - C Gillett
- King's College London, Research Oncology, Division of Cancer Studies, Faculty of Life Sciences and Medicine, London, UK
| | - A Naba
- Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - A-L Law
- King's College London, Randall Division of Cell and Molecular Biophysics, London, UK
| | - V P Sharma
- Department of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, NY, USA.,Gruss Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - J Wang
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
| | - J Wyckoff
- Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - M Balsamo
- Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - F Mosis
- King's College London, Randall Division of Cell and Molecular Biophysics, London, UK
| | - M De Piano
- King's College London, Division of Cancer Studies, Cancer Epidemiology Group, London, UK
| | - J Monypenny
- King's College London, Randall Division of Cell and Molecular Biophysics, London, UK.,King's College London, Research Oncology, Division of Cancer Studies, Faculty of Life Sciences and Medicine, London, UK.,King's College London, Division of Cancer Studies, Richard Dimbleby Department of Cancer Research, London, UK
| | - N Woodman
- King's College London, Research Oncology, Division of Cancer Studies, Faculty of Life Sciences and Medicine, London, UK
| | - R E McConnell
- Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - G Mouneimne
- University of Arizona Cancer Center, Tucson, AZ, USA
| | - M Van Hemelrijck
- King's College London, Division of Cancer Studies, Cancer Epidemiology Group, London, UK
| | - Y Cao
- Department of Microbiology, Tumor and Cell Biology, Karolinska Institute, Stockholm, Sweden
| | - J Condeelis
- Department of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, NY, USA.,Gruss Lipper Biophotonics Center, Albert Einstein College of Medicine, Bronx, NY, USA
| | - R O Hynes
- Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA, USA.,Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - F B Gertler
- Koch Institute for Integrative Cancer Research at MIT, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - M Krause
- King's College London, Randall Division of Cell and Molecular Biophysics, London, UK
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Chen L, Qu X, Cao M, Zhou Y, Li W, Liang B, Li W, He W, Feng C, Jia X, He Y. Identification of breast cancer patients based on human signaling network motifs. Sci Rep 2013; 3:3368. [PMID: 24284521 PMCID: PMC3842546 DOI: 10.1038/srep03368] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2013] [Accepted: 11/13/2013] [Indexed: 12/25/2022] Open
Abstract
Identifying breast cancer patients is crucial to the clinical diagnosis and therapy for this disease. Conventional gene-based methods for breast cancer diagnosis ignore gene-gene interactions and thus may lead to loss of power. In this study, we proposed a novel method to select classification features, called “Selection of Significant Expression-Correlation Differential Motifs” (SSECDM). This method applied a network motif-based approach, combining a human signaling network and high-throughput gene expression data to distinguish breast cancer samples from normal samples. Our method has higher classification performance and better classification accuracy stability than the mutual information (MI) method or the individual gene sets method. It may become a useful tool for identifying and treating patients with breast cancer and other cancers, thus contributing to clinical diagnosis and therapy for these diseases.
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Affiliation(s)
- Lina Chen
- 1] College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Hei Longjiang Province, China Postal code:150081 [2]
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