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Sinha S, Callow BW, Farfel AP, Roy S, Chen S, Rajendran S, Buschhaus JM, Luker KE, Ghosh P, Luker GD. A Multiomic Analysis Reveals How Breast Cancers Disseminated to the Bone Marrow Acquire Aggressive Phenotypes through Tumor-Stroma Tunnels. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.03.18.533175. [PMID: 36993616 PMCID: PMC10055300 DOI: 10.1101/2023.03.18.533175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Estrogen receptor-positive (ER+) breast cancer commonly disseminates to bone marrow, where interactions with mesenchymal stromal cells (MSCs) shape disease trajectory. We modeled these interactions with tumor-MSC co-cultures and used an integrated transcriptome-proteome-network- analyses workflow to identify a comprehensive catalog of contact-induced changes. Induced genes and proteins in cancer cells, some borrowed and others tumor-intrinsic, were not recapitulated merely by conditioned media from MSCs. Protein-protein interaction networks revealed the rich connectome between 'borrowed' and 'intrinsic' components. Bioinformatic approaches prioritized one of the 'borrowed' components, CCDC88A /GIV, a multi-modular metastasis-related protein which has recently been implicated in driving one of the hallmarks of cancers, i.e., growth signaling autonomy. MSCs transferred GIV protein to ER+ breast cancer cells (that lack GIV) through tunnelling nanotubes via connexin (Cx)43-facilitated intercellular transport. Reinstating GIV alone in GIV-negative breast cancer cells reproduced ∼20% of both the 'borrowed' and the 'intrinsic' gene induction patterns from contact co-cultures; conferred resistance to anti-estrogen drugs; and enhanced tumor dissemination. Findings provide a multiomic insight into MSC→tumor cell intercellular transport and validate how transport of one such candidate, GIV, from the haves (MSCs) to have-nots (ER+ breast cancer) orchestrates aggressive disease states.
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2
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Zhang Y, Liu C, Zhou L. Prognosis of gastric adenocarcinoma associated with girdin, Akt, and cortactin. Ann Saudi Med 2022; 42:181-190. [PMID: 35770962 PMCID: PMC9167460 DOI: 10.5144/0256-4947.2022.181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/09/2022] Open
Abstract
BACKGROUND The actin-binding protein girdin regulates tumor cell migration and invasion by maintaining actin structure. PI3K/Akt signaling is an important actin-remodeling pathway. The protein cortactin acts directly on microfilaments and promotes tumor invasion and metastasis by rearranging the cytoskeleton. However, there are few reports on the co-expression of girdin, Akt, and cortactin in gastric adenocarcinoma (GAC). OBJECTIVES Evaluate girdin, Akt, and cortactin expression in GAC tissues and assess their relationship to the prognosis of GAC patients. DESIGN Survival analysis SETTING: Medical college in China PATIENTS AND METHODS: We compared survival in 110 paraffin-preserved GAC with corresponding normal gastric mucosa tissues in relationship to girdin, Akt, and cortactin expression levels. MAIN OUTCOME MEASURE Expression levels of the proteins. SAMPLE SIZE 110 RESULTS: The expression of girdin, Akt, and cortactin were all upregulated in GAC tissues compared with corresponding normal tissues (66.4% vs 36.3%, 57.3% vs 28.2% and 69.1% vs 22.7%, respectively; P<.05) and expression was mutually positive (all P<.05). Overall survival in the girdin, Akt, and cortactin high expression groups was reduced. Multivariate analysis showed that girdin, Akt, cortactin, lymph node metastasis (LNM) and TNM stages were independent factors affecting GAC patients prognosis (P<.05). CONCLUSIONS Girdin and cortactin may promote GAC invasion and metastasis via the PI3-K/Akt signaling pathway. Girdin, Akt, and cortactin co-expression might serve as a novel molecular target for GAC therapy and improve the prognosis of patients with this disease. LIMITATIONS A small sample size and lack of related research on molecular mechanisms. CONFLICT OF INTEREST None.
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Affiliation(s)
- Yue Zhang
- From the Department of Pathology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Cheyan Liu
- From the Department of Pathology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
| | - Lei Zhou
- From the Department of Pathology, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China
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3
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Yang Z, Yang F, Zhang Y, Wang X, Shi J, Wei H, Sun F, Yu Y. Girdin protein: A potential metastasis predictor associated with prognosis in lung cancer. Exp Ther Med 2018; 15:2837-2843. [PMID: 29456687 PMCID: PMC5795640 DOI: 10.3892/etm.2018.5773] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Accepted: 05/05/2017] [Indexed: 12/21/2022] Open
Abstract
The present study explored the relationship between Girdin protein expression and the survival rate of patients with lung carcinoma. A total of 334 lung cancer specimens, 20 benign lung disease tissue sections and 24 fresh tissues from patients with lung carcinoma were analyzed by immunohistochemistry and western blotting. Girdin protein was expressed in 130/334 (38.93%) of the cases examined. Girdin protein expression was correlated with tumor/node/metastasis stage (P<0.001), lymph node metastasis (P=0.001), distant metastasis (P<0.001) and specimen sites (P=0.034). Girdin expression was also correlated with signal transducer and activator of transcription 3 (STAT3) expression (P<0.001). Patients with high Girdin and STAT3 expression had a significantly poorer prognosis compared with those with low/high, high/low or low/low expression (P<0.001). In summary, Girdin may be a prognostic marker of lung cancer and serve as a biomarker for metastasis.
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Affiliation(s)
- Zhaoyang Yang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Fang Yang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Yingli Zhang
- Department of Internal Medicine, Harbin Red Cross Center Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Xin Wang
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Jiong Shi
- Department of Pathology, Nanjing Drum Tower Hospital, Nanjing, Jiangsu 210000, P.R. China
| | - Hongjiao Wei
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Fengwei Sun
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
| | - Yan Yu
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang 150081, P.R. China
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4
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Zhang H, Yu F, Qin F, Shao Y, Chong W, Guo Z, Liu X, Fu L, Gu F, Ma Y. Combination of cytoplasmic and nuclear girdin expression is an independent prognosis factor of breast cancer. FASEB J 2017; 32:2395-2410. [PMID: 29259035 DOI: 10.1096/fj.201700825rr] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Girdin is an actin-binding protein playing key roles in the development of various carcinomas. Although online tools have predicted nuclear localization of girdin with a high probability, convincing proof has rarely been provided until now. The purpose of this study was to discover girdin's precise subcellular distribution and the potential prognostic value corresponding to its localization. The subcellular distribution of girdin was detected in a human breast cancer cell line and in >800 samples of human breast tissue by clinical pathologic analysis. In this study, we discovered for the first time that girdin could attach to chromatin and interact with topoisomerase-IIα in nucleus. Cytoplasmic and nuclear girdin exhibited different roles in prognosis of breast cancer: cytoplasmic girdin expression was an independent prognostic factor for progression-free survival (PFS), whereas nuclear girdin expression was an independent prognostic factor for overall survival (OS). More important, combination cytoplasmic and nuclear girdin was an independent prognosis factor of both OS and PFS. In conclusion, our research results strongly recommend combination analysis of cytoplasmic and nuclear girdin for a precise prognostic prediction in breast cancer.-Zhang, H., Yu, F., Qin, F., Shao, Y., Chong, W., Guo, Z., Liu, X., Fu, L., Gu, F., Ma, Y. Combination of cytoplasmic and nuclear girdin expression is an independent prognosis factor of breast cancer.
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Affiliation(s)
- Huikun Zhang
- Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Feng Yu
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.,Tianjin's Clinical Research Center for Cancer, Tianjin, China.,Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.,Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China
| | - Fengxia Qin
- Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Ying Shao
- Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Wei Chong
- Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Zhifang Guo
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Xiaoli Liu
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Li Fu
- Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Feng Gu
- Department of Breast Cancer Pathology and Research Laboratory, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - Yongjie Ma
- Department of Tumor Cell Biology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.,Tianjin's Clinical Research Center for Cancer, Tianjin, China.,Key Laboratory of Cancer Prevention and Therapy, Tianjin, China.,Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China
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5
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Choi JS, Kim KH, Oh E, Shin YK, Seo J, Kim SH, Park S, Choi YL. Girdin protein expression is associated with poor prognosis in patients with invasive breast cancer. Pathology 2017; 49:618-626. [PMID: 28818465 DOI: 10.1016/j.pathol.2017.05.010] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2017] [Revised: 05/15/2017] [Accepted: 05/21/2017] [Indexed: 11/19/2022]
Abstract
Girdin is an actin-binding Akt substrate that is an integral component of the PI3K/Akt signalling pathway. However, the clinicopathological significance of Girdin expression in breast cancer has not been clarified. The purpose of this study was to characterise the clinicopathological implication of Girdin expression in breast cancer. Immunohistochemistry-based protein expression analyses of 892 human breast cancer tissues showed that Girdin was expressed in 289 (32.4%) cases. Girdin expression was significantly associated with larger tumour size, frequent lymph node invasion, advanced cancer stage, and expression of oestrogen and progesterone receptors. Patients who had breast cancer with Girdin expression experienced significantly poorer overall survival (OS) (p=0.021) and disease-free survival (DFS) (p=0.002) than those without Girdin expression. In subtype analyses, Girdin expression was significantly correlated with poorer OS and DFS in HER2 subtype (p=0.004 and p=0.034, respectively). In triple negative breast cancer (TNBC) subtype, Girdin expression was significantly correlated with poorer DFS (p=0.035), and there was a trend toward poorer OS (p=0.060) in TNBC patients with Girdin expression. Multivariate analysis revealed that Girdin expression was an independent prognostic factor for OS (p=0.022) and DFS (p=0.030) in patients with breast cancer. In HER2 subtype under multivariate analysis, Girdin expression retained its role as an independent prognostic predictor for worse OS (p=0.023), and there was a trend toward poorer DFS (p=0.086) in patients with HER2 subtype expressing Girdin. Girdin expression may serve as a useful prognostic factor for invasive breast cancer, especially for the HER2 subtype.
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Affiliation(s)
- Jong-Sun Choi
- The Center for Anti-cancer Companion Diagnostics, Bio-MAX/N-Bio, Seoul National University, Seoul, South Korea
| | - Kyung Hee Kim
- Department of Pathology, Chungnam National University College of Medicine, Daejeon, South Korea
| | - Ensel Oh
- Laboratory of Cancer Genomics and Molecular Pathology, Samsung Medical Center, Seoul, South Korea
| | - Young Kee Shin
- The Center for Anti-cancer Companion Diagnostics, Bio-MAX/N-Bio, Seoul National University, Seoul, South Korea; Research Institute of Pharmaceutical Science, College of Pharmacy, Seoul National University, Seoul, South Korea
| | - Jinwon Seo
- Department of Pathology, Hallym University Sacred Heart Hospital, Hallym University College of Medicine, Gyeonggi, South Korea
| | - Seok-Hyung Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea
| | - Sarah Park
- The Center for Anti-cancer Companion Diagnostics, Bio-MAX/N-Bio, Seoul National University, Seoul, South Korea
| | - Yoon-La Choi
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea; Department of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, South Korea.
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6
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Gao SP, Sun HF, Fu WY, Li LD, Zhao Y, Chen MT, Jin W. High expression of COX5B is associated with poor prognosis in breast cancer. Future Oncol 2017; 13:1711-1719. [PMID: 28592145 DOI: 10.2217/fon-2017-0058] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Cytochrome c oxidase subunit VB (COX5B), a subunit of mammalian COX, takes roles in COX assembling and functions. Online database predicts high COX5B transcription may be associated with worse disease-free survival (DFS). However, the clinical implications of COX5B in breast cancer remain unclear. METHODS We carried out immunohistochemistry on tissue microarrays of 244 patients with invasive ductal breast carcinoma to detected COX5B expression. RESULTS Our results suggest that COX5B protein level might be associated with tumor size. COX5B overexpression indicated a worse DFS (p < 0.05) in breast cancer. Furthermore, high COX5B expression may act as an independent factor for worse DFS in breast cancer. CONCLUSIONS Cumulatively, our findings suggest that COX5B might serve as an important prognostic factor for breast cancer.
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Affiliation(s)
- Shui-Ping Gao
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Collaborative Innovation Center of Cancer Medicine, Fudan University Shanghai Cancer Center, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - He-Fen Sun
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Collaborative Innovation Center of Cancer Medicine, Fudan University Shanghai Cancer Center, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Wen-Yan Fu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Collaborative Innovation Center of Cancer Medicine, Fudan University Shanghai Cancer Center, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Liang-Dong Li
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Collaborative Innovation Center of Cancer Medicine, Fudan University Shanghai Cancer Center, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Yang Zhao
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Collaborative Innovation Center of Cancer Medicine, Fudan University Shanghai Cancer Center, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Meng-Ting Chen
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Collaborative Innovation Center of Cancer Medicine, Fudan University Shanghai Cancer Center, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Wei Jin
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Collaborative Innovation Center of Cancer Medicine, Fudan University Shanghai Cancer Center, Shanghai 200032, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
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7
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Kuang XY, Chen L, Zhang ZJ, Liu YR, Zheng YZ, Ling H, Qiao F, Li S, Hu X, Shao ZM. Stathmin and phospho-stathmin protein signature is associated with survival outcomes of breast cancer patients. Oncotarget 2016; 6:22227-38. [PMID: 26087399 PMCID: PMC4673159 DOI: 10.18632/oncotarget.4276] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2015] [Accepted: 06/01/2015] [Indexed: 01/07/2023] Open
Abstract
Currently, Stathmin1 (STMN1) and phospho-STMN1 levels in breast cancers and their clinical implications are unknown. We examined the expression of STMN1 and its serine phospho-site (Ser16, Ser25, Ser38, and Ser63) status by immunohistochemistry. Using Cox regression analysis, a STMN1 expression signature and phosphorylation profile plus clinicopathological characteristics (STMN1-E/P/C) was developed in the training set (n = 204) and applied to the validation set (n = 106). This tool enabled us to separate breast cancer patients into high- and low-risk groups with significantly different disease-free survival (DFS) rates (P < 0.001). Importantly, this STMN1-E/P/C model had a greater prognostic value than the traditional TNM classifier, especially in luminal subtype breast cancer (P = 0.002). Further analysis showed that patients in the low-risk group would benefit more from adjuvant paclitaxel-based chemotherapy (P = 0.002). In conclusion, the STMN1-E/P/C signature is a reliable prognostic indicator for luminal subtype breast cancer and may predict the therapeutic response to paclitaxel-based treatments, potentially facilitating individualized management.
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Affiliation(s)
- Xia-Ying Kuang
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Li Chen
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhi-Jie Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Yi-Rong Liu
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-Zi Zheng
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Hong Ling
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Feng Qiao
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shan Li
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xin Hu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Zhi-Ming Shao
- Key Laboratory of Breast Cancer in Shanghai, Department of Breast Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.,Institutes of Biomedical Science, Fudan University, Shanghai, China
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8
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Dunkel Y, Diao K, Aznar N, Swanson L, Liu L, Zhu W, Mi XY, Ghosh P. Prognostic impact of total and tyrosine phosphorylated GIV/Girdin in breast cancers. FASEB J 2016; 30:3702-3713. [PMID: 27440794 DOI: 10.1096/fj.201600500] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2016] [Accepted: 07/05/2016] [Indexed: 12/27/2022]
Abstract
Gα-interacting vesicle-associated protein (GIV, aka Girdin) is a guanine exchange factor (GEF) for the trimeric G protein Gαi and a bona fide metastasis-related gene that serves as a platform for amplification of tyrosine-based signals via G-protein intermediates. Here we present the first exploratory biomarker study conducted on a cohort of 187 patients with breast cancer to evaluate the prognostic role of total GIV (tGIV) and tyrosine phosphorylated GIV (pYGIV) across the various molecular subtypes. A Kaplan-Meier analysis of recurrence-free survival showed that the presence of tGIV, either cytoplasmic or nuclear, carried poor prognosis, but that nuclear tGIV had a greater prognostic impact (P = 0.007 in early and P = 0.0048 in late clinical stages). Activated pYGIV in the cytoplasm had the greatest prognostic impact in late clinical stages (P = 0.006). Furthermore, we found that the prognostic impacts of cytoplasmic pYGIV and nuclear tGIV were additive (hazard ratio 19.0548; P = 0.0002). Surprisingly, this additive effect of nuclear tGIV/cytoplasmic pYGIV was observed in human epidermal growth factor receptor 2-positive tumors (hazard ratio 16.918; P = 0.0005) but not in triple-negative breast cancers. In triple-negative breast cancers, tGIV and cytoplasmic pYGIV had no prognostic impact; however, membrane-association of pYGIV carried a poor prognosis (P = 0.026). Both tGIV and pYGIV showed no correlation with clinical stage, tumor size, pathologic type, lymph node involvement, and BRCA1/2 status. We conclude that immunocytochemical detection of pYGIV and tGIV can serve as an effective prognosticator. On the basis of the differential prognostic impact of tGIV/pYGIV within each molecular subtype, we propose a diagnostic algorithm. Further studies on larger cohorts are essential to rigorously assess the effectiveness and robustness of this algorithm in prognosticating outcome among patients with breast cancer.-Dunkel, Y., Diao, K., Aznar, N., Swanson, L., Liu, L., Zhu, W., Mi, X.-Y., Ghosh, P. Prognostic impact of total and tyrosine phosphorylated GIV/Girdin in breast cancers.
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Affiliation(s)
- Ying Dunkel
- Department of Medicine.,Department of Cell and Molecular Medicine
| | - Kexin Diao
- Department of Pathology, China Medical University, Shenyang, China
| | - Nicolas Aznar
- Department of Medicine.,Department of Cell and Molecular Medicine
| | - Lee Swanson
- Department of Medicine.,Department of Cell and Molecular Medicine
| | - Lawrence Liu
- Department of Medicine.,Department of Cell and Molecular Medicine
| | - Wenhong Zhu
- Division of Biomedical Informatics, University of California, San Diego, La Jolla, California, USA
| | - Xiao-Yi Mi
- Department of Pathology, China Medical University, Shenyang, China;
| | - Pradipta Ghosh
- Department of Medicine, .,Department of Cell and Molecular Medicine
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9
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Ghosh P. Heterotrimeric G proteins as emerging targets for network based therapy in cancer: End of a long futile campaign striking heads of a Hydra. Aging (Albany NY) 2015; 7:469-74. [PMID: 26224586 PMCID: PMC4543036 DOI: 10.18632/aging.100781] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2015] [Accepted: 07/15/2015] [Indexed: 01/17/2023]
Abstract
Most common diseases, e.g., cancer are driven by not one, but multiple cell surface receptors that trigger and sustain a pathologic signaling network. The largest fraction of therapeutic agents that target individual receptors/pathways eventually fail due to the emergence of compensatory mechanisms that reestablish the pathologic network. Recently, a rapidly emerging paradigm has revealed GIV/Girdin as a central platform for receptor cross-talk which integrates signals downstream of a myriad of cell surface receptors, and modulates several key pathways within downstream signaling network, all via non-canonical activation of trimeric G proteins. Unlike canonical signal transduction via G proteins, which is spatially and temporally restricted, the temporal and spatial features of non-canonical activation of G protein via GIV is unusually unrestricted. Consequently, the GIV●G protein interface serves as a central hub allowing for control over several pathways within the pathologic signaling network, all at once. The relevance of this new paradigm in cancer and other disease states and the pros and cons of targeting the GIV●G protein interface are discussed.
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Affiliation(s)
- Pradipta Ghosh
- Department of Medicine, University of California at San Diego, La Jolla, CA 92093, USA
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10
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Wang L, Yao L, Zheng YZ, Xu Q, Liu XP, Hu X, Wang P, Shao ZM. Expression of autophagy-related proteins ATG5 and FIP200 predicts favorable disease-free survival in patients with breast cancer. Biochem Biophys Res Commun 2015; 458:816-22. [PMID: 25689718 DOI: 10.1016/j.bbrc.2015.02.037] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2015] [Accepted: 02/06/2015] [Indexed: 11/28/2022]
Abstract
Autophagy is a self-digesting process that is primarily responsible for the removal and recycling of long-lived proteins and damaged organelles to maintain the homeostasis of the cell. Recent studies have indicated dual roles for autophagy in cancer: suppression of tumor progression and promotion of survival. In this study, we sought to investigate the prognostic value of two autophagy-related proteins, autophagy-related gene 5 (ATG5) and FAK family kinase-interacting protein of 200 kDa (FIP200), in patients with operable breast cancer. More specifically, the expression of ATG5 and FIP200 was evaluated by immunohistochemistry (IHC) in surgical specimens collected from 200 patients who were diagnosed with histologically proven invasive ductal breast cancer. A stepwise Cox multivariate analysis was then performed to construct a risk prediction model. In this retrospective cohort study, both ATG5 (HR = 0.465, 95% CI 0.247-0.872, P = 0.017) and FIP200 (HR = 0.521, 95% CI 0.278-0.979, P = 0.043) correlated with prolonged disease-free survival (DFS). In a receiver operating characteristic (ROC) analysis, the addition of ATG5 and FIP200 expression led to a significantly improved area under the time-dependent ROC curve (AUC) at 3 years (0.748 versus 0.680, P < 0.001) and 5 years (0.756 versus 0.699, P < 0.001). Collectively, our findings established the prognostic significance of ATG5 and FIP200 in patients with breast cancer.
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Affiliation(s)
- Lei Wang
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ling Yao
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi-Zi Zheng
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qing Xu
- Department of Finance and Control Sciences, School of Mathematical Sciences, Fudan University, Shanghai, China
| | - Xiu-Ping Liu
- Department of Pathology, School of Basic Medical Sciences, Fudan University, Shanghai, China
| | - Xin Hu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Peng Wang
- Key Laboratory of Systems Biology, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China; School of Life Science and Technology, ShanghaiTech University, Shanghai, China.
| | - Zhi-Ming Shao
- Department of Breast Surgery, Key Laboratory of Breast Cancer in Shanghai, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
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