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Govorov I, Attarha S, Kovalevska L, Andersson E, Kashuba E, Mints M. STK4 protein expression pattern follows different trends in endometrioid and serous endometrial adenocarcinoma upon tumor progression. Sci Rep 2022; 12:22154. [PMID: 36550267 PMCID: PMC9780310 DOI: 10.1038/s41598-022-26391-9] [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: 08/20/2022] [Accepted: 12/14/2022] [Indexed: 12/24/2022] Open
Abstract
In a previous study, we showed that serine/threonine-protein kinase 4 (STK4) is involved in the control on proliferation and migration of endometrial cancer (EC) cells in vitro. In the present paper, we studied STK4 expression in EC tissues from a large cohort of patients to determine whether STK4 can serve as a marker for the aggressiveness and prognosis of EC. Tissue samples from patients with EC were examined for tumor type, grade, and stage. The STK4 protein expression in EC cells was assessed by immunohistochemistry and related to clinicopathological data of patients, such as progression and patient survival rate. The STK4 mRNA levels and its relation to the survival rate were analyzed also in publicly available databases. The STK4 gene expression was low at both, the mRNA and protein levels in EC, especially in serous tumors. Comparison of STK4 expression with the patient survival rate shows that the higher expression is associated with worse prognosis in serous EC, while no such dependence was found in endometrioid EC. Hence, the determination of the SKT4 expression pattern could be used as a putative prognostic marker for serous EC.
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Affiliation(s)
- Igor Govorov
- grid.4714.60000 0004 1937 0626Division of Obstetrics and Gynecology, Department of Women’s and Children’s Health, Karolinska University Hospital, Solna, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Sanaz Attarha
- grid.4714.60000 0004 1937 0626Science for Life Laboratory, Karolinska Institutet, 171 65 Stockholm, Sweden
| | - Larysa Kovalevska
- grid.430311.40000 0004 0560 6108R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology of NAS of Ukraine, Kyiv, 03022 Ukraine
| | - Emil Andersson
- grid.4714.60000 0004 1937 0626Division of Obstetrics and Gynecology, Department of Women’s and Children’s Health, Karolinska University Hospital, Solna, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Elena Kashuba
- grid.430311.40000 0004 0560 6108R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology of NAS of Ukraine, Kyiv, 03022 Ukraine ,grid.4714.60000 0004 1937 0626Department of Microbiology, Tumor and Cell Biology (MTC), Karolinska Institute, Biomedicum, 17165 Stockholm, Sweden
| | - Miriam Mints
- grid.4714.60000 0004 1937 0626Division of Obstetrics and Gynecology, Department of Women’s and Children’s Health, Karolinska University Hospital, Solna, Karolinska Institutet, 171 77 Stockholm, Sweden ,grid.15895.300000 0001 0738 8966School of Medical Science, Faculty of Medicine and Health, Örebro University, 70182 Örebro, Sweden
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2
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Li Y, Li J, Guo E, Huang J, Fang G, Chen S, Yang B, Fu Y, Li F, Wang Z, Xiao R, Liu C, Huang Y, Wu X, Lu F, You L, Feng L, Xi L, Wu P, Ma D, Sun C, Wang B, Chen G. Integrating pathology, chromosomal instability and mutations for risk stratification in early-stage endometrioid endometrial carcinoma. Cell Biosci 2020; 10:122. [PMID: 33110489 PMCID: PMC7583263 DOI: 10.1186/s13578-020-00486-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 10/14/2020] [Indexed: 02/06/2023] Open
Abstract
Background Risk stratifications for endometrial carcinoma (EC) depend on histopathology and molecular pathology. Histopathological risk stratification lacks reproducibility, neglects heterogeneity and contributes little to surgical procedures. Existing molecular stratification is useless in patients with specific pathological or molecular characteristics and cannot guide postoperative adjuvant radiotherapies. Chromosomal instability (CIN), the numerical and structural alterations of chromosomes resulting from ongoing errors of chromosome segregation, is an intrinsic biological mechanism for the evolution of different prognostic factors of histopathology and molecular pathology and may be applicable to the risk stratification of EC. Results By analyzing CIN25 and CIN70, two reliable gene expression signatures for CIN, we found that EC with unfavorable prognostic factors of histopathology or molecular pathology had serious CIN. However, the POLE mutant, as a favorable prognostic factor, had elevated CIN signatures, and the CTNNB1 mutant, as an unfavorable prognostic factor, had decreased CIN signatures. Only if these two mutations were excluded were CIN signatures strongly prognostic for outcomes in different adjuvant radiotherapy subgroups. Integrating pathology, CIN signatures and POLE/CTNNB1 mutation stratified stageIendometrioid EC into four groups with improved risk prognostication and treatment recommendations. Conclusions We revealed the possibility of integrating histopathology and molecular pathology by CIN for risk stratification in early-stage EC. Our integrated risk model deserves further improvement and validation.
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Affiliation(s)
- Yuan Li
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Jiaqi Li
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ensong Guo
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Jia Huang
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Guangguang Fang
- Department of Gynecology,Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen Dapeng New District Maternity & Child Health Hospital, Shenzhen, 518038 China
| | - Shaohua Chen
- Department of Gynecology and Obstetrics, The People's Hospital of Macheng City, Macheng, 438300 China
| | - Bin Yang
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Yu Fu
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Fuxia Li
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Zizhuo Wang
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Rourou Xiao
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Chen Liu
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Yuhan Huang
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Xue Wu
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Funian Lu
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Lixin You
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Ling Feng
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ling Xi
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Peng Wu
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Ding Ma
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Chaoyang Sun
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Beibei Wang
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
| | - Gang Chen
- National Clinical Research Center of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.,Cancer Biology Research Center, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Anv, Wuhan, 430030 Hubei China
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3
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Prediction of lymphovascular space invasion in endometrial cancer using the 55-gene signature selected by DNA microarray analysis. PLoS One 2019; 14:e0223178. [PMID: 31557240 PMCID: PMC6762169 DOI: 10.1371/journal.pone.0223178] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Accepted: 09/15/2019] [Indexed: 12/11/2022] Open
Abstract
Lymphovascular space invasion (LVSI) is considered to be the beginning of lymphogenous and hematogenous metastases. It is strongly related to dissemination, and therefore could be a valuable predictive sign of lymph node metastases and distant spread. Recently, the presence of LVSI in endometrial cancer (EC) has been shown to be an independent prognostic factor. The preoperative diagnosis of LVSI by pathological examination is difficult and LVSI is detected after surgery. The aim of the current study was to explore candidate genes as potential diagnostic biomarkers and determine whether they are predictors of LVSI in patients with EC. A total of 88 surgical specimens obtained from EC patients who had undergone surgical resection at Fukushima Medical University Hospital between 2010 and 2015 were analyzed using DNA microarray. LVSI was significantly associated with poor prognostic factors in EC such as higher tumor grade, lymph node metastasis, deep myometrium invasion, advanced stage and recurrence. Fifty-five candidate genes were significantly differentially expressed between 26 LVSI-positive and 62 LVSI-negative samples. All 88 samples were divided into two groups according to hierarchical clustering of 55 genes. Regarding diagnostic accuracy, sensitivity and negative predictive value were both high (92% and 95%, respectively); further, specificity and positive predictive value were both moderate (63% and 71%, respectively). Our data suggests that the 55-gene signature could contribute to predicting LVSI in EC, and provide clinically important information for better management. The molecular signatures of 55 genes may be also useful for understanding the underlying mechanism of LVSI.
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4
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Md Fuzi AA, Omar SZ, Mohamed Z, Mat Adenan NA, Mokhtar NM. High throughput silencing identifies novel genes in endometrioid endometrial cancer. Taiwan J Obstet Gynecol 2018; 57:217-226. [PMID: 29673664 DOI: 10.1016/j.tjog.2018.02.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2017] [Indexed: 01/18/2023] Open
Abstract
OBJECTIVE To validate the gene expression profile obtained from the previous microarray analysis and to further study the biological functions of these genes in endometrial cancer. From our previous study, we identified 621 differentially expressed genes in laser-captured microdissected endometrioid endometrial cancer as compared to normal endometrial cells. Among these genes, 146 were significantly up-regulated in endometrial cancer. MATERIALS AND METHODS A total of 20 genes were selected from the list of up-regulated genes for the validation assay. The qPCR confirmed that 19 out of the 20 genes were up-regulated in endometrial cancer compared with normal endometrium. RNA interference (RNAi) was used to knockdown the expression of the upregulated genes in ECC-1 and HEC-1A endometrial cancer cell lines and its effect on proliferation, migration and invasion were examined. RESULTS Knockdown of MIF, SOD2, HIF1A and SLC7A5 by RNAi significantly decreased the proliferation of ECC-1 cells (p < 0.05). Our results also showed that the knockdown of MIF, SOD2 and SLC7A5 by RNAi significantly decreased the proliferation and migration abilities of HEC-1A cells (p < 0.05). Moreover, the knockdown of SLC38A1 and HIF1A by RNAi resulted in a significant decrease in the proliferation of HEC1A cells (p < 0.05). CONCLUSION We have identified the biological roles of SLC38A1, MIF, SOD2, HIF1A and SLC7A5 in endometrial cancer, which opens up the possibility of using the RNAi silencing approach to design therapeutic strategies for treatment of endometrial cancer.
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Affiliation(s)
- Afiqah Alyaa Md Fuzi
- Department of Pharmacology, Faculty of Medicine, University Malaya, 50603 Kuala Lumpur, Malaysia
| | - Siti Zawiah Omar
- Department of Obstetrics and Gynecology, Faculty of Medicine, University Malaya, 50603 Kuala Lumpur, Malaysia
| | - Zahurin Mohamed
- Department of Pharmacology, Faculty of Medicine, University Malaya, 50603 Kuala Lumpur, Malaysia
| | - Noor Azmi Mat Adenan
- Department of Obstetrics and Gynecology, Faculty of Medicine, University Malaya, 50603 Kuala Lumpur, Malaysia
| | - Norfilza Mohd Mokhtar
- Department of Physiology, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, 56000 Cheras, Kuala Lumpur, Malaysia.
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5
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Meta-analysis of gene expression studies in endometrial cancer identifies gene expression profiles associated with aggressive disease and patient outcome. Sci Rep 2016; 6:36677. [PMID: 27830726 PMCID: PMC5103206 DOI: 10.1038/srep36677] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2016] [Accepted: 10/19/2016] [Indexed: 12/17/2022] Open
Abstract
Although endometrioid endometrial cancer (EEC; comprising ~80% of all endometrial cancers diagnosed) is typically associated with favourable patient outcome, a significant portion (~20%) of women with this subtype will relapse. We hypothesised that gene expression predictors of the more aggressive non-endometrioid endometrial cancers (NEEC) could be used to predict EEC patients with poor prognosis. To explore this hypothesis, we performed meta-analysis of 12 gene expression microarray studies followed by validation using RNA-Seq data from The Cancer Genome Atlas (TCGA) and identified 1,253 genes differentially expressed between EEC and NEEC. Analysis found 121 genes were associated with poor outcome among EEC patients. Forward selection likelihood-based modelling identified a 9-gene signature associated with EEC outcome in our discovery RNA-Seq dataset which remained significant after adjustment for clinical covariates, but was not significant in a smaller RNA-Seq dataset. Our study demonstrates the value of employing meta-analysis to improve the power of gene expression microarray data, and highlight genes and molecular pathways of importance for endometrial cancer therapy.
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6
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Zhang R, Yao W, Qian P, Li Y, Jiang C, Ao Z, Qian G, Wang C, Wu G, Li J, Ji F, Xu J. Increased sensitivity of human lung adenocarcinoma cells to cisplatin associated with downregulated contactin-1. Biomed Pharmacother 2015; 71:172-84. [DOI: 10.1016/j.biopha.2014.11.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Accepted: 11/05/2014] [Indexed: 01/06/2023] Open
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7
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Carvajal-Carmona LG, O’Mara TA, Painter JN, Lose FA, Dennis J, Michailidou K, Tyrer JP, Ahmed S, Ferguson K, Healey CS, Pooley K, Beesley J, Cheng T, Jones A, Howarth K, Martin L, Gorman M, Hodgson S, Wentzensen N, Fasching PA, Hein A, Beckmann MW, Renner SP, Dörk T, Hillemanns P, Dürst M, Runnebaum I, Lambrechts D, Coenegrachts L, Schrauwen S, Amant F, Winterhoff B, Dowdy SC, Goode EL, Teoman A, Salvesen HB, Trovik J, Njolstad TS, Werner HMJ, Scott RJ, Ashton K, Proietto T, Otton G, Wersäll O, Mints M, Tham E, Hall P, Czene K, Liu J, Li J, Hopper JL, Southey MC, Ekici AB, Ruebner M, Johnson N, Peto J, Burwinkel B, Marme F, Brenner H, Dieffenbach AK, Meindl A, Brauch H, Lindblom A, Depreeuw J, Moisse M, Chang-Claude J, Rudolph A, Couch FJ, Olson JE, Giles GG, Bruinsma F, Cunningham JM, Fridley BL, Børresen-Dale AL, Kristensen VN, Cox A, Swerdlow AJ, Orr N, Bolla MK, Wang Q, Weber RP, Chen Z, Shah M, Pharoah PDP, Dunning AM, Tomlinson I, Easton DF, Spurdle AB, Thompson DJ. Candidate locus analysis of the TERT-CLPTM1L cancer risk region on chromosome 5p15 identifies multiple independent variants associated with endometrial cancer risk. Hum Genet 2015; 134:231-45. [PMID: 25487306 PMCID: PMC4291520 DOI: 10.1007/s00439-014-1515-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2014] [Accepted: 11/20/2014] [Indexed: 01/06/2023]
Abstract
Several studies have reported associations between multiple cancer types and single-nucleotide polymorphisms (SNPs) on chromosome 5p15, which harbours TERT and CLPTM1L, but no such association has been reported with endometrial cancer. To evaluate the role of genetic variants at the TERT-CLPTM1L region in endometrial cancer risk, we carried out comprehensive fine-mapping analyses of genotyped and imputed SNPs using a custom Illumina iSelect array which includes dense SNP coverage of this region. We examined 396 SNPs (113 genotyped, 283 imputed) in 4,401 endometrial cancer cases and 28,758 controls. Single-SNP and forward/backward logistic regression models suggested evidence for three variants independently associated with endometrial cancer risk (P = 4.9 × 10(-6) to P = 7.7 × 10(-5)). Only one falls into a haplotype previously associated with other cancer types (rs7705526, in TERT intron 1), and this SNP has been shown to alter TERT promoter activity. One of the novel associations (rs13174814) maps to a second region in the TERT promoter and the other (rs62329728) is in the promoter region of CLPTM1L; neither are correlated with previously reported cancer-associated SNPs. Using TCGA RNASeq data, we found significantly increased expression of both TERT and CLPTM1L in endometrial cancer tissue compared with normal tissue (TERT P = 1.5 × 10(-18), CLPTM1L P = 1.5 × 10(-19)). Our study thus reports a novel endometrial cancer risk locus and expands the spectrum of cancer types associated with genetic variation at 5p15, further highlighting the importance of this region for cancer susceptibility.
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Affiliation(s)
- Luis G. Carvajal-Carmona
- Genome Center and Department of Biochemistry and Molecular Medicine, School of Medicine, University of California, Davis, CA 95616 USA
| | - Tracy A. O’Mara
- QIMR Berghofer Medical Research Institute, Brisbane, QLD Australia
| | - Jodie N. Painter
- QIMR Berghofer Medical Research Institute, Brisbane, QLD Australia
| | - Felicity A. Lose
- QIMR Berghofer Medical Research Institute, Brisbane, QLD Australia
| | - Joe Dennis
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Kyriaki Michailidou
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Jonathan P. Tyrer
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Shahana Ahmed
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Kaltin Ferguson
- QIMR Berghofer Medical Research Institute, Brisbane, QLD Australia
| | - Catherine S. Healey
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Karen Pooley
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Jonathan Beesley
- QIMR Berghofer Medical Research Institute, Brisbane, QLD Australia
| | - Timothy Cheng
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Angela Jones
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Kimberley Howarth
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Lynn Martin
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Maggie Gorman
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Shirley Hodgson
- Department of Clinical Genetics, St George’s Hospital Medical School, London, UK
| | | | | | - Nicholas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, USA
| | - Peter A. Fasching
- Division of Hematology/Oncology, Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA UK
- Department of Gynecology and Obstetrics, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Alexander Hein
- Department of Gynecology and Obstetrics, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Matthias W. Beckmann
- Department of Gynecology and Obstetrics, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Stefan P. Renner
- Department of Gynecology and Obstetrics, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Thilo Dörk
- Gynaecology Research Unit, Hannover Medical School, Hannover, Germany
| | - Peter Hillemanns
- Clinics of Gynaecology and Obstetrics, Hannover Medical School, Hannover, Germany
| | - Matthias Dürst
- Department of Gynaecology, Jena University Hospital-Friedrich Schiller University, Jena, Germany
| | - Ingo Runnebaum
- Department of Gynaecology, Jena University Hospital-Friedrich Schiller University, Jena, Germany
| | - Diether Lambrechts
- Vesalius Research Center, VIB, Leuven, Belgium
- Department of Oncology, Laboratory for Translational Genetics, KU Leuven, Leuven, Belgium
| | | | | | - Frederic Amant
- Department of Oncology, KU Leuven, Leuven, Belgium
- Division of Gynaecological Oncology, University Hospital Leuven, Leuven, Belgium
| | - Boris Winterhoff
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN USA
| | - Sean C. Dowdy
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN USA
| | - Ellen L. Goode
- Division of Epidemiology, Department of Health Science Research, Mayo Clinic, Rochester, MN USA
| | - Attila Teoman
- Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN USA
| | - Helga B. Salvesen
- Department of Clinical Science, Centre for Cancerbiomarkers, The University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Jone Trovik
- Department of Clinical Science, Centre for Cancerbiomarkers, The University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Tormund S. Njolstad
- Department of Clinical Science, Centre for Cancerbiomarkers, The University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Henrica M. J. Werner
- Department of Clinical Science, Centre for Cancerbiomarkers, The University of Bergen, Bergen, Norway
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Rodney J. Scott
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, NSW Australia
- Hunter Area Pathology Service, John Hunter Hospital, Newcastle, NSW Australia
- Centre for Information Based Medicine, School of Biomedical Science and Pharmacy, University of Newcastle, Newcastle, NSW Australia
| | - Katie Ashton
- Hunter Medical Research Institute, John Hunter Hospital, Newcastle, NSW Australia
- Centre for Information Based Medicine, School of Biomedical Science and Pharmacy, University of Newcastle, Newcastle, NSW Australia
- Discipline of Medical Genetics, School of Biomedical Sciences and Pharmacy, University of Newcastle, Newcastle, NSW Australia
| | - Tony Proietto
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW Australia
| | - Geoffrey Otton
- School of Medicine and Public Health, University of Newcastle, Newcastle, NSW Australia
| | - Ofra Wersäll
- Department of Women’s and Children’s Health, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Miriam Mints
- Department of Women’s and Children’s Health, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Emma Tham
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - RENDOCAS
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Per Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Kamila Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Jianjun Liu
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Jingmei Li
- Human Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - John L. Hopper
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC Australia
| | - Melissa C. Southey
- Department of Pathology, Genetic Epidemiology Laboratory, The University of Melbourne, Melbourne, VIC Australia
| | | | - Arif B. Ekici
- Department of Gynecology and Obstetrics, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Matthias Ruebner
- Department of Gynecology and Obstetrics, Friedrich-Alexander University Erlangen-Nuremberg, University Hospital Erlangen, Erlangen, Germany
| | - Nichola Johnson
- Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London, UK
| | - Julian Peto
- London School of Hygiene and Tropical Medicine, London, UK
| | - Barbara Burwinkel
- Molecular Biology of Breast Cancer, Department of Gynecology and Obstetrics, University of Heidelberg, Heidelberg, Germany
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Frederik Marme
- Molecular Biology of Breast Cancer, Department of Gynecology and Obstetrics, University of Heidelberg, Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Aida K. Dieffenbach
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Alfons Meindl
- Division of Tumor Genetics, Department of Obstetrics and Gynecology, Technical University of Munich, Munich, Germany
| | - Hiltrud Brauch
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology Stuttgart, University of Tuebingen, Tuebingen, Germany
| | - The GENICA Network
- Dr. Margarete Fischer-Bosch Institute of Clinical Pharmacology Stuttgart, University of Tuebingen, Tuebingen, Germany
- Institute for Occupational Medicine and Maritime Medicine, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
- Department of Internal Medicine, Evangelische Kliniken Bonn gGmbH, Johanniter Krankenhaus, Bonn, Germany
- Institute of Pathology, Medical Faculty of the University of Bonn, Bonn, Germany
- Institute for Prevention and Occupational Medicine of the German Social Accident Insurance, Institute of the Ruhr University Bochum (IPA), Bochum, Germany
- Molecular Genetics of Breast Cancer, Deutsches Krebsforschungszentrum (DKFZ), Heidelberg, Germany
| | - Annika Lindblom
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Jeroen Depreeuw
- Vesalius Research Center, VIB, Leuven, Belgium
- Department of Oncology, Laboratory for Translational Genetics, KU Leuven, Leuven, Belgium
| | - Matthieu Moisse
- Vesalius Research Center, VIB, Leuven, Belgium
- Department of Oncology, Laboratory for Translational Genetics, KU Leuven, Leuven, Belgium
| | - Jenny Chang-Claude
- Division of Cancer Epidemiology, German Cancer Research Center, Heidelberg, Germany
| | - Anja Rudolph
- Department of Cancer Epidemiology/Clinical Cancer Registry and Institute for Medical Biometrics and Epidemiology, University Clinic Hamburg-Eppendorf, Hamburg, Germany
| | - Fergus J. Couch
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
- Department of Health Science Research, Mayo Clinic, Rochester, MN USA
| | - Janet E. Olson
- Division of Epidemiology, Department of Health Science Research, Mayo Clinic, Rochester, MN USA
| | - Graham G. Giles
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, VIC Australia
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Fiona Bruinsma
- Cancer Epidemiology Centre, Cancer Council Victoria, Melbourne, Australia
| | - Julie M. Cunningham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN USA
- Department of Health Science Research, Mayo Clinic, Rochester, MN USA
| | - Brooke L. Fridley
- Department of Biostatistics, University of Kansas Medical Center, Kansas City, KS USA
| | - Anne-Lise Børresen-Dale
- Department of Genetics, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo, Norway
- Faculty of Medicine, The K.G. Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
| | - Vessela N. Kristensen
- Department of Genetics, Institute for Cancer Research, The Norwegian Radium Hospital, Oslo, Norway
- Faculty of Medicine, The K.G. Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, University of Oslo, Oslo, Norway
- Division of Medicine, Department of Clinical Molecular Oncology, Akershus University Hospital, Ahus, Norway
| | - Angela Cox
- Department of Oncology, Sheffield Cancer Research Centre, University of Sheffield, Sheffield, UK
| | - Anthony J. Swerdlow
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
- Division of Breast Cancer Research, Institute of Cancer Research, London, UK
| | - Nicholas Orr
- Division of Breast Cancer Research, Institute of Cancer Research, London, UK
| | - Manjeet K. Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Rachel Palmieri Weber
- Department of Community and Family Medicine, Duke University School of Medicine, Durham, NC USA
| | - Zhihua Chen
- Division of Population Sciences, Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL USA
| | - Mitul Shah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Paul D. P. Pharoah
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Alison M. Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | - Ian Tomlinson
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Douglas F. Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
| | | | - Deborah J. Thompson
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
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Attarha S, Andersson S, Mints M, Souchelnytskyi S. Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers. Br J Cancer 2013; 109:704-13. [PMID: 23839494 PMCID: PMC3738137 DOI: 10.1038/bjc.2013.359] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2013] [Revised: 06/14/2013] [Accepted: 06/17/2013] [Indexed: 01/06/2023] Open
Abstract
Background: The individual features of tumours are often disregarded in cohort studies. As these features may represent a source for individualised cancer treatment, it is important to develop a novel approach for their assessment. Methods: We used proteomics, systems biology, and immunohistochemistry to explore protein expression in human endometrial tumours, to identify deregulated regulatory mechanisms, and to validate observed changes in protein expression using tissue microarrays. Results: Compared with the evaluation of common tumour features, the evaluation of individual tumour features gave a more comprehensive and detailed overview of the regulatory processes in endometrial tumours. Systemic analysis of the individual proteome profiles showed that endometrial tumours employed different proteins to regulate similar functions. Comparison of our data with publicly available data sets of molecular profiling of human endometrial tumours confirmed that individual tumour features are not simply irrelevant individual variations, but are indeed important in endometrial tumorigenesis. Validation through tissue microarray investigation of MST1 and PKN1 proteins confirmed the usefulness of this approach, and suggested that MST1 and PKN1 may be considered as predictive biomarkers of endometrial cancer. Conclusion: We show that individualised profiling of endometrial tumours may deliver better insights into a tumour's physiology, thereby giving a better prediction of tumour development. Individual tumour features may also be used to tailor cancer treatment.
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Affiliation(s)
- S Attarha
- Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden
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Expression patterns of kinin-dependent genes in endometrial cancer. Int J Gynecol Cancer 2012; 22:937-44. [PMID: 22706224 DOI: 10.1097/igc.0b013e318259d8da] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE The present study has focused on the identification of the differences between expression patterns of kinin-dependent genes in endometrial cancer with the use of real-time quantitative reverse transcription polymerase chain reaction and oligonucleotide microarray. MATERIALS AND METHODS The study group consisted of 50 endometrium samples collected from women with endometrial cancer. Gene expression of kinin receptors BR1 and BR2 was evaluated with real-time quantitative reverse transcription polymerase chain reaction. The analysis of the expression profile of genes related to the kinin mitogenic signal transduction pathway was performed using HG-U133A oligonucleotide microarrays. RESULTS The transcriptional activity of the B1 receptor for kinins increased in patients with grade 1 (G1) and grade 2 (G2) endometrial cancer when compared to the control group, whereas it decreased in patients with grade 3 (G3) endometrial cancer. The expression of the B2 receptor showed a growing trend reaching the peak in the G2, whereas G3 was characterized by a decrease in the gene transcriptional activity. Significant differential gene expression was recorded for GNB1, PRKAR1A, KRAS, MAP2K2, GNG5, MAPK1, ADCY9, GNG11, JUN, PRKCA, PRKACB, FOS, PLCB4, ADCY8, and GNG12. CONCLUSION The expression changes in kinin-dependent genes might cause disturbance in the underlying biological processes, which could be important for the pathogenesis of endometrial cancer. This will eventually help to improve treatment strategies for patients with endometrial cancer in the future.
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Mhawech-Fauceglia P, Wang D, Samrao D, Godoy H, Pejovic T, Liu S, Lele S. Pair-Box (PAX8) protein-positive expression is associated with poor disease outcome in women with endometrial cancer. Br J Cancer 2012; 107:370-4. [PMID: 22644304 PMCID: PMC3394976 DOI: 10.1038/bjc.2012.241] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND The Pax8 transcription factor genes have a role in cell differentiation and cell growth, and silencing of Pax8 in cell cultures results in cell death. The aims of this study were to determine the expression and correlation of Pax8 protein with several clinicopathological variables in patients with endometrial cancer. METHODS The following clinical parameters from 229 patients were used for correlation with Pax8 expression; age, histological subtype, myometrial depth of invasion, lymphovascular invasion (LVI), the International Federation of Gynecology and Obstetrics grade, lymph nodes status, and disease status. RESULTS A positive association of Pax8(+) expression was found with high tumour grade (P=0.002), LVI+(P=0.0186), and type II tumour subtype (P<0.0001) in univariate analysis. Survival analysis showed an association of Pax8 and 5-year overall survival probability (P=0.01486), 80.04% for patients with Pax8(-) and 55.59% for patients with Pax8(+). There was also an association of Pax8 and 5-year disease-free survival probability (P=0.02028), 72.12% for patients with Pax8(-) vs 49.88% for patients with Pax8(+). Finally, an association of Pax8(+) and shorter recurrence-free survival was also found (P=0.00203), with 74.36% for Pax8(-) and 52.11% for Pax8(+). CONCLUSION Overexpression of Pax8 protein by endometrial cancer is associated with poor disease outcomes. Inhibition of Pax8 may be a very attractive targeted therapy for selective patients.
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Liu P, Chen S, Wu W, Liu B, Shen W, Wang F, He X, Zhang S. Contactin-1 (CNTN-1) overexpression is correlated with advanced clinical stage and lymph node metastasis in oesophageal squamous cell carcinomas. Jpn J Clin Oncol 2012; 42:612-8. [PMID: 22581910 DOI: 10.1093/jjco/hys066] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
OBJECTIVE Oesophageal squamous cell carcinoma is one of the deadliest malignancies worldwide. Contactin-1, a neural adhesion molecule, is implicated in tumour invasion and metastasis. The purpose of this study was to investigate the expression of CNTN-1 in normal and cancerous oesophageal tissue, and the potential relevance to clinicopathological features. METHODS Thirty normal oesophageal tissue samples and 82 primary oesophageal squamous cell carcinoma tissue samples were included in this study. The expression levels of CNTN-1, VEGF-C and HIF-1α messenger RNA were determined using reverse transcriptase-polymerase chain reaction and quantitative real-time polymerase chain reaction. The expression of the CNTN-1 protein was measured using immunohistochemistry. RESULTS The expression of CNTN-1 messenger RNA was significantly increased in the tumour tissue compared with the normal oesophageal tissue (P=0.001). The oesophageal squamous cell carcinoma tissue consistently showed higher CNTN-1 protein levels. The CNTN-1 expression correlated with the oesophageal squamous cell carcinoma stage (P=0.006), lymph node metastasis (P=0.018) and lymphatic invasion (P=0.035). The messenger RNA level of CNTN-1 correlated significantly with those of VEGF-C and HIF-1α. CONCLUSIONS The expression of CNTN-1 is upregulated in the oesophageal squamous cell carcinoma tissue and related to stage, lymph node metastasis and lymphatic invasion. Thus, CNTN-1 may be involved in the progression and pathogenesis of oesophageal squamous cell carcinoma.
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Affiliation(s)
- Pengfei Liu
- Department of Gastroenterology, The Affiliated Jiangyin Hospital of Southeast University Medical School, 163 Shoushan Rd, Jiangyin 214400, China.
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Mhawech-Fauceglia P, Wang D, Lele S, Frederick PJ, Pejovic T, Liu S. Claudin7 and moesin in endometrial Adenocarcinoma; a retrospective study of 265 patients. BMC Res Notes 2012; 5:65. [PMID: 22272721 PMCID: PMC3280166 DOI: 10.1186/1756-0500-5-65] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2011] [Accepted: 01/24/2012] [Indexed: 01/06/2023] Open
Abstract
Background Metastasis is the main cause of death in cancer and is a multistep process. Moesin (MSN), a member of the ezrin-rdixin-moesin family and Claudin7 (CLDN7), a tight junction protein, both play a role in tumor cell metastasis. Previously, we found an over-expression of MSN and under-expression of CLDN7 at the mRNA level in uterine serous carcinoma in comparison to uterine endometrioid adenocarcinoma. The purpose of this study is to determine the protein expression of MSN and CLDN7 in endometrial cancer (EC) and to evaluate their prognostic value. Two hundred sixty-five patients with EC were retrieved from the archives. MSN and CLDN7 immunostaining were performed on the tissue paraffin sections. The expression of each antibody was reported and then correlated with clinicopathological prognostic factors including age, tumor grade, tumor stage, lympho-vascular involvement, depth of myometrial invasion, overall survival (OS), disease free survival (DFS) and death of disease (DOD). Results MSN and CLDN were expressed in 46% and 52% of overall cases. We observed an association between MSN+ staining and tumor grade, and serous and clear cell carcinoma subtypes (p < 0.001 each). There was an association between CLDN7+ staining and low tumor grade and endometrioid adenocarcinoma subtype (p < 0.001 and 0.001 respectively). However, no association between MSN and CLDN7 expression and outcome including OS, DOD, and DFS was found. Conclusion A significant prognostic value of MSN and CLDN7 in predicting disease outcomes in patients with EC was not demonstrated. Nevertheless, the high percentage of EC cases with MSN and CLDN7 immunoexpression, and their association with tumor grade and subtypes, suggests that these proteins might play a role in tumorigenesis of endometrial adenocarcinomas. Future studies are needed to shed light on their mechanistic properties in EC cells.
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Mhawech-Fauceglia P, Wang D, Samrao D, Menesses T, Godoy H, Ough F, Lele S, Liu S, Pejovic T. The role of hypoxic-inducible factor (HIF1α) and aldolaseC protein in endometrial carcinogenesis: a retrospective study of 279 patients. BMJ Open 2012; 2:bmjopen-2012-001450. [PMID: 22923632 PMCID: PMC3432840 DOI: 10.1136/bmjopen-2012-001450] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVES Hypoxia-inducible factor (HIF1α) plays an integral role in response to hypoxia, controlling dozens of target genes including aldolaseC (ALDC), an important enzyme in the glycolytic pathway. It also induces angiogenesis, allowing survival and proliferation of cancer cells. The aims of our study were to evaluate the expressions of HIF1α and ALDC in patients with endometrial cancer (EC) and define their association with disease outcome and to determine the existence of an association between HIF1α and ALDC proteins. DESIGN This is a population-based retrospective cohort study using the gynaecological-oncology database. The authors identified all women with EC with adequate follow-up. Immunohistochemistry using antibodies to ALDC and HIF1α was performed on paraffin-embedded tissue from 279 patients. To test the association between ALDC /HIF1α protein using immunohistochemistry (IHC) (positive and negative) and the clinical parameters, Fisher's exact test was performed for categorical parameters and the logistic regression model was used for continuous ones. Pearson correlation was used to check the association of IHC between ALDC and HIF1α. SETTING Academic referral centre. PARTICIPANTS Women with EC from 2000 to 2010 obtained from the gynaecological-oncology database. OUTCOME MEASURES The disease outcome is defined by alive with no evidence of disease versus all other outcomes. RESULTS ALDC and HIF1α were overexpressed in the vast majority of EC cases (78% and 76%, respectively). There was a strong positive association between HIF1α and ALDC (p=0.0017). There was a significant association between ALDC and depth of myometrial invasion (p=0.0438), and between HIF1α and tumour grade (p=0.0231) and tumour subtype (p=0.018). However, there was no association between neither ALDC nor HIF1α and disease status. CONCLUSIONS ALDC and HIF1α play an important role in endometrial carcinogenesis. Their expression by the majority of EC makes inhibition of HIF1α a very attractive therapeutic option for treating patients with EC and we suggest that it will be prospectively validated in future studies.
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Affiliation(s)
| | - Dan Wang
- Department of Biostatistics, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Damanzoopinder Samrao
- Department of Pathology, University of Southern California, Los Angeles, California, USA
| | - Teodulo Menesses
- Department of Pathology, University of Southern California, Los Angeles, California, USA
| | - Heidi Godoy
- Department of Gynecologic Oncology, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Faith Ough
- Department of Pathology, University of Southern California, Los Angeles, California, USA
| | - Shashikant Lele
- Department of Gynecologic Oncology, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Song Liu
- Department of Biostatistics, Roswell Park Cancer Institute, Buffalo, New York, USA
| | - Tanja Pejovic
- Division of Gynecologic Oncology, Oregon Health & Science University, Portland, Oregon, USA
- Knight Cancer Institute, Portland, Oregon, USA
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cDNA microarray analysis and immunohistochemistry reveal a distinct molecular phenotype in serous endometrial cancer compared to endometrioid endometrial cancer. Exp Mol Pathol 2011; 91:373-84. [DOI: 10.1016/j.yexmp.2011.04.005] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2011] [Accepted: 04/13/2011] [Indexed: 11/23/2022]
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