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Ling B, Ye G, Qin C, Liao X, Yang R, Su L, Qi G. IGSF10 inhibits the metastasis of lung adenocarcinoma via the Spi-B/Integrin-β1 signaling pathway. J Biochem Mol Toxicol 2024; 38:e23693. [PMID: 38622980 DOI: 10.1002/jbt.23693] [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: 04/02/2023] [Revised: 06/16/2023] [Accepted: 03/12/2024] [Indexed: 04/17/2024]
Abstract
IGSF10, a protein that belongs to the immunoglobulin superfamily, is involved in regulating the early migration of neurons that produce gonadotropin-releasing hormone and performs a fundamental function in development. Our previous study confirmed that the mRNA expression level of IGSF10 may be a protective prognosis factor for lung adenocarcinoma (LUAD) patients. However, the specific mechanisms of IGSF10 are still unclear. In this research, it was shown that the protein level of IGSF10 was down-modulated in LUAD tissues and had a link to the clinical and pathological characteristics as well as the patient's prognosis in LUAD. Importantly, IGSF10 regulates the metastatic ability of LUAD cells in vitro and in vivo. It was proven in a mechanistic sense that IGSF10 inhibits the capacity of LUAD cells to metastasize through the Spi-B/Integrin-β1 signaling pathway. These findings gave credence to the premise that IGSF10 performed a crucial function in LUAD.
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Affiliation(s)
- Bo Ling
- College of Pharmacy, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Guangbin Ye
- College of basic Medical Sciences, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Chunyan Qin
- Department of Pulmonary and Critical Care Medicine, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Xianjiu Liao
- College of Pharmacy, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Ruirui Yang
- Institute of Life Sciences, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Lili Su
- Institute of Life Sciences, Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Guangzi Qi
- College of public health and management, Youjiang Medical University for Nationalities, Baise, Guangxi, China
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2
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Wang Y, Huang W, Zheng S, Wang L, Zhang L, Pei X. Construction of an immune-related risk score signature for gastric cancer based on multi-omics data. Sci Rep 2024; 14:1422. [PMID: 38228846 PMCID: PMC10791612 DOI: 10.1038/s41598-024-52087-3] [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: 09/04/2023] [Accepted: 01/13/2024] [Indexed: 01/18/2024] Open
Abstract
Early identification of gastric cancer (GC) is associated with a superior survival rate compared to advanced GC. However, the poor specificity and sensitivity of traditional biomarkers suggest the importance of identifying more effective biomarkers. This study aimed to identify novel biomarkers for the prognosis of GC and construct a risk score (RS) signature based on these biomarkers, with to validation of its predictive performance. We used multi-omics data from The Cancer Genome Atlas to analyze the significance of differences in each omics data and combined the data using Fisher's method. Hub genes were subsequently subjected to univariate Cox and LASSO regression analyses and used to construct the RS signature. The RS of each patient was calculated, and the patients were divided into two subgroups according to the RS. The RS signature was validated in two independent datasets from the Gene Expression Omnibus and subsequent analyses were subsequently conducted. Five immune-related genes strongly linked to the prognosis of GC patients were obtained, namely CGB5, SLC10A2, THPO, PDGFRB, and APOD. The results revealed significant differences in overall survival between the two subgroups (p < 0.001) and indicated the high accuracy of the RS signature. When validated in two independent datasets, the results were consistent with those in the training dataset (p = 0.003 and p = 0.001). Subsequent analyses revealed that the RS signature is independent and has broad applicability among various GC subtypes. In conclusion, we used multi-omics data to obtain five immune-related genes comprising the RS signature, which can independently and effectively predict the prognosis of GC patients with high accuracy.
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Affiliation(s)
- Ying Wang
- Department of Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shenzhen, Guangdong, China.
| | - Wenting Huang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shenzhen, Guangdong, China
| | - Shanshan Zheng
- Department of Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shenzhen, Guangdong, China
| | - Liming Wang
- Department of Gastrointestinal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital and Shenzhen Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Shenzhen, Guangdong, China
| | - Lili Zhang
- Department of Pathology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China
| | - Xiaojuan Pei
- Department of Pathology, Shenzhen Hospital, Southern Medical University, Shenzhen, Guangdong, China.
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Abdolahi F, Shahraki A, Sheervalilou R, Mortazavi SS. Identification of differentially expressed genes associated with the pathogenesis of gastric cancer by bioinformatics analysis. BMC Med Genomics 2023; 16:311. [PMID: 38041130 PMCID: PMC10690994 DOI: 10.1186/s12920-023-01720-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Accepted: 10/29/2023] [Indexed: 12/03/2023] Open
Abstract
AIM Gastric cancer (GC) is one of the most diagnosed cancers worldwide. GC is a heterogeneous disease whose pathogenesis has not been entirely understood. Besides, the GC prognosis for patients remains poor. Hence, finding reliable biomarkers and therapeutic targets for GC patients is urgently needed. METHODS GSE54129 and GSE26942 datasets were downloaded from Gene Expression Omnibus (GEO) database to detect differentially expressed genes (DEGs). Then, gene set enrichment analyses and protein-protein interactions were investigated. Afterward, ten hub genes were identified from the constructed network of DEGs. Then, the expression of hub genes in GC was validated. Performing survival analysis, the prognostic value of each hub gene in GC samples was investigated. Finally, the databases were used to predict microRNAs that could regulate the hub genes. Eventually, top miRNAs with more interactions with the list of hub genes were introduced. RESULTS In total, 203 overlapping DEGs were identified between both datasets. The main enriched KEGG pathway was "Protein digestion and absorption." The most significant identified GO terms included "primary alcohol metabolic process," "basal part of cell," and "extracellular matrix structural constituent conferring tensile strength." Identified hub modules were COL1A1, COL1A2, TIMP1, SPP1, COL5A2, THBS2, COL4A1, MUC6, CXCL8, and BGN. The overexpression of seven hub genes was associated with overall survival. Moreover, among the list of selected miRNAs, hsa-miR-27a-3, hsa-miR-941, hsa-miR-129-2-3p, and hsa-miR-1-3p, were introduced as top miRNAs targeting more than five hub genes. CONCLUSIONS The present study identified ten genes associated with GC, which may help discover novel prognostic and diagnostic biomarkers as well as therapeutic targets for GC. Our results may advance the understanding of GC occurrence and progression.
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Affiliation(s)
- Fatemeh Abdolahi
- Department of Biology, Faculty of Science, University of Sistan and Baluchestan, Zahedan, Iran
| | - Ali Shahraki
- Department of Biology, Faculty of Science, University of Sistan and Baluchestan, Zahedan, Iran
| | - Roghayeh Sheervalilou
- Pharmacology Research Center, Zahedan University of Medical Sciences, Zahedan, Iran.
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Uqaili AA, Usman G, Bhatti U, Nasir H, Zia R, Akram MA, Jawad FA, Farid A, AbdelGawwad MR, Almutairi SM, Elshikh MS, Hussain S, Rasheed RA. Bioinformatics, RNA sequencing, and targeted bisulfite sequencing analyses identify the role of PROM2 as a diagnostic and prognostic biomarker. Am J Transl Res 2023; 15:5389-5407. [PMID: 37692961 PMCID: PMC10492044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 08/14/2023] [Indexed: 09/12/2023]
Abstract
OBJECTIVES Prominin 2 (PROM2) gene has been reported as a molecular biomarker of human cancers; however, its role is still controversial. This study was therefore arranged to seek the role of PROM2 in different cancers with Bioinformatics and in vitro analyses. METHODS A combination of bioinformatics and molecular experiments. RESULTS Through the utilization of Bioinformatics analysis, it was observed that in 19 out of the 24 human cancers studied, there was a significant increase in the expression of PROM2 compared to the respective control samples. Additionally, the overexpression of PROM2 was linked specifically to a decrease in overall survival (OS) among breast cancer (BRCA), lung adenocarcinoma (LUAD), and uterine corpus endometrial carcinoma (UCEC) patients. Furthermore, advanced molecular investigations were conducted, encompassing RNA sequencing (RNA-seq) as well as targeted bisulfite sequencing (bisulfite-seq) assessments of PROM2. These analyses were performed across an array of lung cancer cell lines (A549, ABC-1, EBC-1, and LK-2) and a normal control lung cell line (MRC-9). Results of these analysis revealed overexpression and reduced methylation of PROM2 within lung cancer cell lines, relative to the corresponding control cell line. This suggests that PROM2 assumes a substantial function in the advancement and course of BRCA, LUAD, and UCEC cancers. Subsequent pathway analysis revealed that genes enriched by PROM2 are actively engaged in four pivotal pathways. Additionally, intriguing associations were observed between PROM2 expression, tumor purity, infiltration of CD8+ T immune cells, and genetic modifications. Moreover, we also predicted a few MicroRNAs (miRNAs), transcription factors (TFs), and potential drugs that could help to understand and better manage these cancers via designing appropriate therapies targeting PROM2. CONCLUSION Via this study, we effectively revealed PROM2 overexpression as a potential diagnostic and prognostic biomarker of survival in BRCA, LUAD, and UCEC.
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Affiliation(s)
- Arsalan Ahmed Uqaili
- Department of Physiology, Liaquat University of Medical and Health SciencesJamshoro 76090, Pakistan
| | - Gulzar Usman
- Department of Community Medicine, LUMHSJamshoro 76090, Pakistan
| | - Urooj Bhatti
- Department of Physiology, LUMHSJamshoro 76090, Pakistan
| | - Hilal Nasir
- Clinical and Translational Oncology, Scuola Superiore Meridionale, Naples Federico II UniversityNaples 80131, Italy
| | - Rabeea Zia
- Pakistan Kidney and Liver Institute and Research CenterLahore 54000, Pakistan
| | - Muhammad Aitzaz Akram
- Institute of Biochemistry and Biotechnology, PMAS-Arid Agriculture UniversityRawalpindi 46000, Pakistan
| | - Fahim Ali Jawad
- Centre of Agricultural Biochemistry and Biotechnology-University of Agriculture FaisalabadFaisalabad 38040, Pakistan
| | - Afshan Farid
- Department of Botany, PMAS Arid Agriculture UniversityRawalpindi 46000, Pakistan
| | - Mohamed Ragab AbdelGawwad
- Genetics and Bioengineering, Faculty of Engineering and Natural Sciences, International University of SarajevoSarajevo 71210, Bosnia and Herzegovina
| | - Saeedah Musaed Almutairi
- Department of Botany and Microbiology, College of Science, King Saud UniversityP.O. 2455, Riyadh 11451, Saudi Arabia
| | - Mohamed S Elshikh
- Department of Botany and Microbiology, College of Science, King Saud UniversityP.O. 2455, Riyadh 11451, Saudi Arabia
| | - Sajid Hussain
- Department of Botany, PMAS Arid Agriculture UniversityRawalpindi 46000, Pakistan
| | - Rabab Ahmed Rasheed
- Histology & Cell Biology Department, Faculty of Medicine, King Salman International UniversitySouth Sinai, Egypt
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Rao Bommi J, Kummari S, Lakavath K, Sukumaran RA, Panicker LR, Marty JL, Yugender Goud K. Recent Trends in Biosensing and Diagnostic Methods for Novel Cancer Biomarkers. BIOSENSORS 2023; 13:398. [PMID: 36979610 PMCID: PMC10046866 DOI: 10.3390/bios13030398] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 03/13/2023] [Accepted: 03/15/2023] [Indexed: 06/18/2023]
Abstract
Cancer is one of the major public health issues in the world. It has become the second leading cause of death, with approximately 75% of cancer deaths transpiring in low- or middle-income countries. It causes a heavy global economic cost estimated at more than a trillion dollars per year. The most common cancers are breast, colon, rectum, prostate, and lung cancers. Many of these cancers can be treated effectively and cured if detected at the primary stage. Nowadays, around 50% of cancers are detected at late stages, leading to serious health complications and death. Early diagnosis of cancer diseases substantially increases the efficient treatment and high chances of survival. Biosensors are one of the potential screening methodologies useful in the early screening of cancer biomarkers. This review summarizes the recent findings about novel cancer biomarkers and their advantages over traditional biomarkers, and novel biosensing and diagnostic methods for them; thus, this review may be helpful in the early recognition and monitoring of treatment response of various human cancers.
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Affiliation(s)
| | - Shekher Kummari
- Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad 678 557, Kerala, India
| | - Kavitha Lakavath
- Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad 678 557, Kerala, India
| | - Reshmi A. Sukumaran
- Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad 678 557, Kerala, India
| | - Lakshmi R. Panicker
- Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad 678 557, Kerala, India
| | - Jean Louis Marty
- Université de Perpignan Via Domitia, 52 Avenue Paul Alduy, 66860 Perpignan, France
| | - Kotagiri Yugender Goud
- Department of Chemistry, Indian Institute of Technology Palakkad, Palakkad 678 557, Kerala, India
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Zhou Y, Gao M, Jing Y, Wang X. Pan-cancer analyses reveal IGSF10 as an immunological and prognostic biomarker. Front Genet 2023; 13:1032382. [PMID: 36685968 PMCID: PMC9845414 DOI: 10.3389/fgene.2022.1032382] [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: 08/30/2022] [Accepted: 11/29/2022] [Indexed: 01/06/2023] Open
Abstract
Background: IGSF10 is a member of the immunoglobulin superfamily. Over the previous decade, growing proof has validated definitive correlations between individuals of the immunoglobulin superfamily and human diseases. However, the function of IGSF10 in pan-cancer stays unclear. We aimed to analyze the immunological and prognostic value of IGSF10 in pan-cancer. Methods: We utilized a vary of bioinformatic ways to inspect the function of IGSF10 in pan-cancer, including its correlation with prognosis, immune cell infiltration, tumor mutational burden (TMB), microsatellite instability (MSI), mismatch repair (MMR), DNA methyltransferases, genetic alteration, drug sensitivity, etc. Results: We noticed low expression of IGSF10 in most cancer types. IGSF10 expression in tumor samples correlates with prognosis in most cancers. In most cancer types, IGSF10 expression was strongly related to immune cells infiltration, immune checkpoints, immune modulators, TMB, MSI, MMR, and DNA methyltransferases, among others. Functional enrichment analyses indicated that IGSF10 expression was involved in lymphocyte differentiation, cell molecules adhesion, etc. Furthermore, low IGSF10 expression could increase the drug sensitivity of many drugs. Conclusion: IGSF10 could serve as a novel prognostic marker and attainable immunotherapy target for several malignancies.
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Affiliation(s)
- Yongxia Zhou
- Department of Hematology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China,Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China,Tianjin’s Clinical Research Center for Cancer, Tianjin, China,Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China,Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
| | - Manzhi Gao
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China,Tianjin’s Clinical Research Center for Cancer, Tianjin, China,Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China,Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China
| | - Yaoyao Jing
- Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China,Tianjin’s Clinical Research Center for Cancer, Tianjin, China,Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China,Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China,Day Ward of Tianjin Medical University Cancer Institute & Hospital, Tianjin, China
| | - Xiaofang Wang
- Department of Hematology, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China,Tianjin Medical University Cancer Institute & Hospital, National Clinical Research Center for Cancer, Tianjin, China,Tianjin’s Clinical Research Center for Cancer, Tianjin, China,Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China,Key Laboratory of Cancer Immunology and Biotherapy, Tianjin, China,*Correspondence: Xiaofang Wang,
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Song L, Wang S, Li Q, Lu Y, Yang R, Feng X. Identification and Validation of a m5C RNA Modification-Related Gene Signature for Predicting Prognosis and Immunotherapeutic Efficiency of Gastric Cancer. JOURNAL OF ONCOLOGY 2023; 2023:9931419. [PMID: 36936373 PMCID: PMC10017215 DOI: 10.1155/2023/9931419] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 09/15/2022] [Accepted: 09/20/2022] [Indexed: 03/10/2023]
Abstract
Background 5-methylcytosine (m5C) is a major site of RNA methylation modification, and its abnormal modification is associated with the development of gastric cancer (GC). This study aimed to explore the value of m5C-related genes on the prognosis of GC patients through bioinformatics. Methods First, m5C-related genes were obtained by nonnegative matrix factorization (NMF) analysis and differentially expressed analysis. The m5C-related model was established and validated in distinct datasets. Moreover, a differential analysis of risk scores according to clinical characteristics was performed. The enrichment analysis was carried out to elucidate the underlying molecular mechanisms. Furthermore, we calculated the differences in immunotherapy and chemotherapy sensitivity between the high- and low-risk groups. Finally, we validated the expression levels of identified model genes by quantitative real-time polymerase chain reaction (qRT-PCR). Results A total of five m5C-related subtypes of GC patients in the TCGA database were identified. The m5C-related model was constructed based on APOD, ASCL2, MFAP2, and CREB3L3. Functional enrichment revealed that the m5C-related model might involve in the cell cycle and cell adhesion. Moreover, the high-risk group had a higher abundance of stromal and immune cells in malignant tumor tissues and a lower tumor purity than the low-risk group. The patients in the high-risk group were more sensitive to chemotherapy and had better sensitivity to CTLA4 inhibitors. Furthermore, qRT-PCR results from our specimens verified an over-expression of ASCL2, CREB3L3, and MFAP2 in the cancer cells compared with the normal cells. Conclusion A total of five GC subtypes were identified, and a risk model was constructed based on m5C modification.
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Affiliation(s)
- Li Song
- 1Academy of Advanced Interdisciplinary Studies, Qilu University of Technology, (Shandong Academy of Sciences), Jinan, Shandong 250353, China
| | - Shouguo Wang
- 1Academy of Advanced Interdisciplinary Studies, Qilu University of Technology, (Shandong Academy of Sciences), Jinan, Shandong 250353, China
| | - Qiankun Li
- 2Department of Tissue Repair and Regeneration, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Yao Lu
- 2Department of Tissue Repair and Regeneration, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Rungong Yang
- 2Department of Tissue Repair and Regeneration, the First Medical Center of Chinese PLA General Hospital, Beijing 100853, China
| | - Xianqi Feng
- 1Academy of Advanced Interdisciplinary Studies, Qilu University of Technology, (Shandong Academy of Sciences), Jinan, Shandong 250353, China
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Positive Expression of Retinol-Binding Protein 4 Is Related to the Malignant Clinical Features Leading to Poor Prognosis of Glioblastoma. Genet Res (Camb) 2022; 2022:5435523. [PMID: 36632438 PMCID: PMC9807312 DOI: 10.1155/2022/5435523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Revised: 11/05/2022] [Accepted: 11/08/2022] [Indexed: 12/27/2022] Open
Abstract
Backgrounds Retinol-binding protein 4 (RBP4) is a monomeric-binding protein belonging to the lipocalin protein family, which has been reported to be dysregulated in several malignancies such as breast cancer and lung cancer. However, the expression and function of RBP4 in glioblastoma (GBM) are completely unknown. Materials and Methods TCGA datasets were used for analyzing the mRNA level of RBP4 in GBM and its clinical relevance. A retrospective GBM cohort (n = 73) was enrolled from our hospital to test the protein expression profile of RBP4 in GBM tissues as well as its correlation with patients' prognoses. Two human GBM cell lines, LN229 and U251, were collected to conduct overexpression and knockdown experiments targeting RBP4. The tumor-related effects of RBP4 in GBM were finally evaluated by proliferation and invasion assays. Results Both the higher mRNA level and protein level of RBP4 in GBM tissues were significantly correlated with poorer patients' overall survival. Multivariate analysis identified RBP4 as a novel independent prognostic predictor in GBM patients. Overexpression of RBP4 resulted in enhanced GBM proliferation capacity, which was consistent with clinical findings on the positive correlation between RBP4 level and tumor size. Meanwhile, overexpressing RBP4 promoted GBM cell migration and invasion, while silencing RBP4 led to the opposite results. Conclusions RBP4 overexpression in tumor tissues is correlated with poorer prognosis of GBM patients, which functions by promoting GBM proliferation and invasion, thus, may serve as an invaluable predictive biomarker and therapeutic target.
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Pouliquen DL, Malloci M, Boissard A, Henry C, Guette C. Proteomes of Residual Tumors in Curcumin-Treated Rats Reveal Changes in Microenvironment/Malignant Cell Crosstalk in a Highly Invasive Model of Mesothelioma. Int J Mol Sci 2022; 23:ijms232213732. [PMID: 36430209 PMCID: PMC9691155 DOI: 10.3390/ijms232213732] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 10/31/2022] [Accepted: 11/03/2022] [Indexed: 11/09/2022] Open
Abstract
Curcumin exhibits both immunomodulatory properties and anticarcinogenic effects which have been investigated in different experimental tumor models and cancer types. Its interactions with multiple signaling pathways have been documented through proteomic studies on malignant cells in culture; however, in vivo approaches are scarce. In this study, we used a rat model of highly invasive peritoneal mesothelioma to analyze the residual tumor proteomes of curcumin-treated rats in comparison with untreated tumor-bearing rats (G1) and provide insights into the modifications in the tumor microenvironment/malignant cell crosstalk. The cross-comparing analyses of the histological sections of residual tumors from two groups of rats given curcumin twice on days 21 and 26 after the tumor challenge (G2) or four times on days 7, 9, 11 and 14 (G3), in comparison with G1, identified a common increase in caveolin-1 which linked with significant abundance changes affecting 115 other proteins. The comparison of G3 vs. G2 revealed additional features for 65 main proteins, including an increase in histidine-rich glycoprotein and highly significant abundance changes for 22 other proteins regulating the tumor microenvironment, linked with the presence of numerous activated T cells. These results highlight new features in the multiple actions of curcumin on tumor microenvironment components and cancer cell invasiveness.
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Affiliation(s)
- Daniel L. Pouliquen
- Université d’Angers, Inserm, CNRS, Nantes Université, CRCI2NA, F-49000 Angers, France
- Correspondence: ; Tel.: +33-2-41352854
| | - Marine Malloci
- Nantes Université, CHU Nantes, CNRS, Inserm, BioCore, US16, SFR Bonamy, F-44000 Nantes, France
| | - Alice Boissard
- Université d’Angers, ICO, Inserm, CNRS, Nantes Université, CRCI2NA, F-49000 Angers, France
| | - Cécile Henry
- Université d’Angers, ICO, Inserm, CNRS, Nantes Université, CRCI2NA, F-49000 Angers, France
| | - Catherine Guette
- Université d’Angers, ICO, Inserm, CNRS, Nantes Université, CRCI2NA, F-49000 Angers, France
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Ku SC, Liu HL, Su CY, Yeh IJ, Yen MC, Anuraga G, Ta HDK, Chiao CC, Xuan DTM, Prayugo FB, Wang WJ, Wang CY. Comprehensive analysis of prognostic significance of cadherin (CDH) gene family in breast cancer. Aging (Albany NY) 2022; 14:8498-8567. [PMID: 36315446 PMCID: PMC9648792 DOI: 10.18632/aging.204357] [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: 01/22/2022] [Accepted: 09/23/2022] [Indexed: 11/07/2022]
Abstract
Breast cancer is one of the leading deaths in all kinds of malignancies; therefore, it is important for early detection. At the primary tumor site, tumor cells could take on mesenchymal properties, termed the epithelial-to-mesenchymal transition (EMT). This process is partly regulated by members of the cadherin (CDH) family of genes, and it is an essential step in the formation of metastases. There has been a lot of study of the roles of some of the CDH family genes in cancer; however, a holistic approach examining the roles of distinct CDH family genes in the development of breast cancer remains largely unexplored. In the present study, we used a bioinformatics approach to examine expression profiles of CDH family genes using the Oncomine, Gene Expression Profiling Interactive Analysis 2 (GEPIA2), cBioPortal, MetaCore, and Tumor IMmune Estimation Resource (TIMER) platforms. We revealed that CDH1/2/4/11/12/13 messenger (m)RNA levels are overexpressed in breast cancer cells compared to normal cells and were correlated with poor prognoses in breast cancer patients’ distant metastasis-free survival. An enrichment analysis showed that high expressions of CDH1/2/4/11/12/13 were significantly correlated with cell adhesion, the extracellular matrix remodeling process, the EMT, WNT/beta-catenin, and interleukin-mediated immune responses. Collectively, CDH1/2/4/11/12/13 are thought to be potential biomarkers for breast cancer progression and metastasis.
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Affiliation(s)
- Su-Chi Ku
- Graduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan
- Ph.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University and Academia Sinica, Taipei 11031, Taiwan
- Department of General Medicine, Taipei Medical University Hospital, Taipei 11031, Taiwan
| | - Hsin-Liang Liu
- Department of Emergency Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
| | - Che-Yu Su
- Department of Emergency Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
| | - I-Jeng Yeh
- Department of Emergency Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
| | - Meng-Chi Yen
- Department of Emergency Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
| | - Gangga Anuraga
- Ph.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University and Academia Sinica, Taipei 11031, Taiwan
- Department of Statistics, Faculty of Science and Technology, Universitas PGRI Adi Buana, Surabaya 60234, Indonesia
| | - Hoang Dang Khoa Ta
- Ph.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University and Academia Sinica, Taipei 11031, Taiwan
| | - Chung-Chieh Chiao
- Ph.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University and Academia Sinica, Taipei 11031, Taiwan
| | - Do Thi Minh Xuan
- Graduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan
| | - Fidelia Berenice Prayugo
- Graduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan
- International Master/PhD Program in Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Wei-Jan Wang
- Department of Biological Science and Technology, Research Center for Cancer Biology, China Medical University, Taichung 406040, Taiwan
- Research Center for Cancer Biology, China Medical University, Taichung 40676, Taiwan
| | - Chih-Yang Wang
- Graduate Institute of Cancer Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan
- Ph.D. Program for Cancer Molecular Biology and Drug Discovery, College of Medical Science and Technology, Taipei Medical University and Academia Sinica, Taipei 11031, Taiwan
- TMU Research Center of Cancer Translational Medicine, Taipei Medical University, Taipei 11031, Taiwan
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11
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Dai J, Chen Q, Li G, Chen M, Sun H, Yan M. DIRAS3, GPR171 and RAC2 were identified as the key molecular patterns associated with brain metastasis of breast cancer. Front Oncol 2022; 12:965136. [PMID: 36212434 PMCID: PMC9532569 DOI: 10.3389/fonc.2022.965136] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
Objective Brain metastasis is a primary cause of morbidity and mortality in breast cancer patients. Therefore, elucidation and understanding of the underlying mechanisms are essential for the development of new therapeutic strategies. Methods Differential gene analysis was performed for those with and without distant metastasis in The Cancer Genome Atlas (TCGA) database and those with and without recurrence in the brain in the dataset GSE12276. The differentially expressed genes procured from the two databases were intersected to obtain the intersecting genes associated with brain metastasis. Thereafter, the intersecting genes were subjected to LASSO model construction to screen for prognostic genes. The expression of the obtained genes in metastatic breast cancer was observed, and survival analysis was performed. Finally, GSEA analysis of the obtained genes was performed, and the relationship between them and immune cells was explored. Results A total of 335 differential genes for the occurrence of distant metastases were obtained based on the TCGA database. A total of 1070 differential genes for recurrence to the brain were obtained based on the dataset GSE12276. The Venn diagram showed 24 intersecting genes associated with brain metastasis. The LASSO prognostic model contained a total of five genes (GBP2, GPR171, DIRAS3, RAC2, and CACNA1D). Expression difference analysis showed that GBP2, GPR171, DIRAS3, and RAC2 were significantly down-regulated in expression in metastatic breast cancer compared with primary breast cancer tumors. Only GPR171, DIRAS3, and RAC2 were strongly correlated with the overall survival of breast cancer patients. Their correlation analysis with immune cells showed that the correlation coefficient between the expression levels of DIRAS3 and immune cells was low, and the expression levels of GPR171 and RAC2 were more closely correlated with B cells and macrophages. Conclusions The expression of DIRAS3, GPR171 and RAC2, genes associated with brain metastasis, was reduced in metastatic breast cancer, and GPR171 was found to promote brain metastasis of breast cancer cells by inducing B cells and thereby.
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12
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Flores-Cortez YA, Barragán-Bonilla MI, Mendoza-Bello JM, González-Calixto C, Flores-Alfaro E, Espinoza-Rojo M. Interplay of retinol binding protein 4 with obesity and associated chronic alterations (Review). Mol Med Rep 2022; 26:244. [PMID: 35656886 PMCID: PMC9185696 DOI: 10.3892/mmr.2022.12760] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Accepted: 04/26/2022] [Indexed: 11/30/2022] Open
Abstract
Obesity is a multifactorial disease, defined as excessive fat deposition in adipose tissue. Adipose tissue is responsible for the production and secretion of numerous adipokines that induce metabolic disorders. Retinol-binding protein 4 (RBP4) is an adipokine that transports vitamin A or retinol in the blood. High levels of RBP4 are associated with development of metabolic disease, including obesity, insulin resistance (IR), metabolic syndrome, and type 2 diabetes (T2D). The present review summarizes the role of RBP4 in obesity and associated chronic alterations. Excessive synthesis of RBP4 contributes to inflammatory characteristic of obesity by activation of immune cells and release of proinflammatory cytokines, such as TNFα and ILs, via the Toll-like receptor/JNK pathway. The retinol-RBP4 complex inhibits insulin signaling directly in adipocytes by activating Janus kinase 2 (JAK2)/STAT5/suppressor of cytokine signaling 3 signaling. This mechanism is retinol-dependent and requires vitamin A receptor stimulation by retinoic acid 6 (STRA6). In muscle, RBP4 is associated with increased serine 307 phosphorylation of insulin receptor substrate-1, which decreases its affinity to PI3K and promotes IR. In the liver, RBP4 increases hepatic expression of phosphoenolpyruvate carboxykinase, which increases production of glucose. Elevated serum RBP4 levels are associated with β-cell dysfunction in T2D via the STRA6/JAK2/STAT1/insulin gene enhancer protein 1 pathway. By contrast, RBP4 induces endothelial inflammation via the NF-κB/nicotinamide adenine dinucleotide phosphate oxidase pathway independently of retinol and STRA6, which stimulates expression of proinflammatory molecules, such as vascular cell adhesion molecule 1, E-selectin, intercellular adhesion molecule 1, monocyte chemoattractant protein 1 and TNFα. RBP4 promotes oxidative stress by decreasing endothelial mitochondrial function; overall, it may serve as a useful biomarker in the diagnosis of obesity and prognosis of associated disease, as well as a potential therapeutic target for treatment of these diseases.
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Affiliation(s)
- Yaccil Adilene Flores-Cortez
- Laboratory of Molecular Biology and Genomic, Faculty of Biological Chemical Sciences, Autonomous University of Guerrero, Chilpancingo, Guerrero 39087, Mexico
| | - Martha I Barragán-Bonilla
- Laboratory of Molecular Biology and Genomic, Faculty of Biological Chemical Sciences, Autonomous University of Guerrero, Chilpancingo, Guerrero 39087, Mexico
| | - Juan M Mendoza-Bello
- Laboratory of Molecular Biology and Genomic, Faculty of Biological Chemical Sciences, Autonomous University of Guerrero, Chilpancingo, Guerrero 39087, Mexico
| | | | - Eugenia Flores-Alfaro
- Laboratory of Clinical and Molecular Epidemiology, Faculty of Biological and Chemical Sciences, Autonomous University of Guerrero, Chilpancingo, Guerrero 39087, Mexico
| | - Mónica Espinoza-Rojo
- Laboratory of Molecular Biology and Genomic, Faculty of Biological Chemical Sciences, Autonomous University of Guerrero, Chilpancingo, Guerrero 39087, Mexico
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13
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Early Breast Cancer Evolution by Autosomal Broad Copy Number Alterations. Int J Genomics 2022; 2022:9332922. [PMID: 35252434 PMCID: PMC8896957 DOI: 10.1155/2022/9332922] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 02/08/2022] [Indexed: 12/13/2022] Open
Abstract
The availability of comprehensive genomic datasets across patient populations enables the application of novel methods for reconstructing tumor evolution within individual patients. To this end, we propose studying autosomal broad copy number alterations (CNAs) as a framework to better understand early tumor evolution. We compared the broad CNAs and somatic mutations of patients with 1 to 10 autosomal broad CNAs against the full set of patients, using data from The Cancer Genome Atlas breast cancer project. We reveal here that the frequency of a chromosome arm obtaining a broad CNA and a genome acquiring somatic mutations changes as autosomal broad CNAs accumulate. Therefore, we propose that the number of autosomal broad CNAs is an important characteristic of breast tumors that needs to be taken into consideration when studying breast tumors. To investigate this idea more in-depth, we next studied the frequency that specific chromosome arms acquire broad CNAs in patients with 1 to 10 broad CNAs. With this process, we identified the broad CNAs that exhibit the fastest rates of accumulation across all patients. This finding suggests a likely order of occurrence of these alterations in patients, which is apparent when we consider a subset of patients with few broad CNAs. Here, we lay the foundation for future studies to build upon our findings and use autosomal broad CNAs as a method to monitor breast tumor progression in vivo to further our understanding of how early tumor evolution unfolds.
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Epigenome-Wide DNA Methylation Profiling in Colorectal Cancer and Normal Adjacent Colon Using Infinium Human Methylation 450K. Diagnostics (Basel) 2022; 12:diagnostics12010198. [PMID: 35054365 PMCID: PMC8775085 DOI: 10.3390/diagnostics12010198] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/31/2021] [Accepted: 01/03/2022] [Indexed: 01/20/2023] Open
Abstract
The aims were to profile the DNA methylation in colorectal cancer (CRC) and to explore cancer-specific methylation biomarkers. Fifty-four pairs of CRCs and the adjacent normal tissues were subjected to Infinium Human Methylation 450K assay and analysed using ChAMP R package. A total of 26,093 differentially methylated probes were identified, which represent 6156 genes; 650 probes were hypermethylated, and 25,443 were hypomethylated. Hypermethylated sites were common in CpG islands, while hypomethylated sites were in open sea. Most of the hypermethylated genes were associated with pathways in cancer, while the hypomethylated genes were involved in the PI3K-AKT signalling pathway. Among the identified differentially methylated probes, we found evidence of four potential probes in CRCs versus adjacent normal; HOXA2 cg06786372, OPLAH cg17301223, cg15638338, and TRIM31 cg02583465 that could serve as a new biomarker in CRC since these probes were aberrantly methylated in CRC as well as involved in the progression of CRC. Furthermore, we revealed the potential of promoter methylation ADHFE1 cg18065361 in differentiating the CRC from normal colonic tissue from the integrated analysis. In conclusion, aberrant DNA methylation is significantly involved in CRC pathogenesis and is associated with gene silencing. This study reports several potential important methylated genes in CRC and, therefore, merit further validation as novel candidate biomarker genes in CRC.
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15
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Sanchez D, Ganfornina MD. The Lipocalin Apolipoprotein D Functional Portrait: A Systematic Review. Front Physiol 2021; 12:738991. [PMID: 34690812 PMCID: PMC8530192 DOI: 10.3389/fphys.2021.738991] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Accepted: 08/30/2021] [Indexed: 12/18/2022] Open
Abstract
Apolipoprotein D is a chordate gene early originated in the Lipocalin protein family. Among other features, regulation of its expression in a wide variety of disease conditions in humans, as apparently unrelated as neurodegeneration or breast cancer, have called for attention on this gene. Also, its presence in different tissues, from blood to brain, and different subcellular locations, from HDL lipoparticles to the interior of lysosomes or the surface of extracellular vesicles, poses an interesting challenge in deciphering its physiological function: Is ApoD a moonlighting protein, serving different roles in different cellular compartments, tissues, or organisms? Or does it have a unique biochemical mechanism of action that accounts for such apparently diverse roles in different physiological situations? To answer these questions, we have performed a systematic review of all primary publications where ApoD properties have been investigated in chordates. We conclude that ApoD ligand binding in the Lipocalin pocket, combined with an antioxidant activity performed at the rim of the pocket are properties sufficient to explain ApoD association with different lipid-based structures, where its physiological function is better described as lipid-management than by long-range lipid-transport. Controlling the redox state of these lipid structures in particular subcellular locations or extracellular structures, ApoD is able to modulate an enormous array of apparently diverse processes in the organism, both in health and disease. The new picture emerging from these data should help to put the physiological role of ApoD in new contexts and to inspire well-focused future research.
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Affiliation(s)
- Diego Sanchez
- Instituto de Biologia y Genetica Molecular, Unidad de Excelencia, Universidad de Valladolid-Consejo Superior de Investigaciones Cientificas, Valladolid, Spain
| | - Maria D Ganfornina
- Instituto de Biologia y Genetica Molecular, Unidad de Excelencia, Universidad de Valladolid-Consejo Superior de Investigaciones Cientificas, Valladolid, Spain
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16
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Martínez-Pérez C, Kay C, Meehan J, Gray M, Dixon JM, Turnbull AK. The IL6-like Cytokine Family: Role and Biomarker Potential in Breast Cancer. J Pers Med 2021; 11:1073. [PMID: 34834425 PMCID: PMC8624266 DOI: 10.3390/jpm11111073] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/20/2021] [Accepted: 10/21/2021] [Indexed: 02/07/2023] Open
Abstract
IL6-like cytokines are a family of regulators with a complex, pleiotropic role in both the healthy organism, where they regulate immunity and homeostasis, and in different diseases, including cancer. Here we summarise how these cytokines exert their effect through the shared signal transducer IL6ST (gp130) and we review the extensive evidence on the role that different members of this family play in breast cancer. Additionally, we discuss how the different cytokines, their related receptors and downstream effectors, as well as specific polymorphisms in these molecules, can serve as predictive or prognostic biomarkers with the potential for clinical application in breast cancer. Lastly, we also discuss how our increasing understanding of this complex signalling axis presents promising opportunities for the development or repurposing of therapeutic strategies against cancer and, specifically, breast neoplasms.
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Affiliation(s)
- Carlos Martínez-Pérez
- Breast Cancer Now Edinburgh Research Team, MRC Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.K.); (J.M.D.); (A.K.T.)
- Translational Oncology Research Group, MRC Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH8 9YL, UK; (J.M.); (M.G.)
| | - Charlene Kay
- Breast Cancer Now Edinburgh Research Team, MRC Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.K.); (J.M.D.); (A.K.T.)
- Translational Oncology Research Group, MRC Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH8 9YL, UK; (J.M.); (M.G.)
| | - James Meehan
- Translational Oncology Research Group, MRC Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH8 9YL, UK; (J.M.); (M.G.)
| | - Mark Gray
- Translational Oncology Research Group, MRC Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH8 9YL, UK; (J.M.); (M.G.)
| | - J. Michael Dixon
- Breast Cancer Now Edinburgh Research Team, MRC Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.K.); (J.M.D.); (A.K.T.)
| | - Arran K. Turnbull
- Breast Cancer Now Edinburgh Research Team, MRC Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH4 2XU, UK; (C.K.); (J.M.D.); (A.K.T.)
- Translational Oncology Research Group, MRC Institute of Genetics and Cancer, Western General Hospital, University of Edinburgh, Edinburgh EH8 9YL, UK; (J.M.); (M.G.)
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