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Ramchander NC, Ryan NAJ, Walker TDJ, Harries L, Bolton J, Bosse T, Evans DG, Crosbie EJ. Distinct Immunological Landscapes Characterize Inherited and Sporadic Mismatch Repair Deficient Endometrial Cancer. Front Immunol 2020; 10:3023. [PMID: 31998307 PMCID: PMC6970202 DOI: 10.3389/fimmu.2019.03023] [Citation(s) in RCA: 51] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Accepted: 12/10/2019] [Indexed: 01/08/2023] Open
Abstract
Around 30% of endometrial cancers (EC) are mismatch repair (MMR) deficient, mostly as a consequence of mutations acquired during tumorigenesis, but a significant minority is caused by Lynch syndrome (LS). This inherited cancer predisposition syndrome primes an anti-cancer immune response, even in healthy carriers. We sought to explore the intra-tumoral immunological differences between genetically confirmed LS-associated MMR-deficient (MMRd), sporadic MMR-deficient, and MMR-proficient (MMRp) EC. Endometrial tumors from women with known LS were identified (n = 25). Comparator tumors were recruited prospectively and underwent microsatellite instability (MSI) testing, immunohistochemistry (IHC) for MMR expression and MLH1 methylation testing. Those found to have MLH1 hypermethylation formed the sporadic MMR-deficient group (n = 33). Those found to be mismatch repair proficient and microsatellite stable formed the MMR-proficient group (n = 35). A fully automated monoplex IHC panel was performed on sequential formalin-fixed paraffin-embedded tumor sections to identify CD3+, CD8+, CD45RO+, FoxP3+, and PD-1+ immune cells, and PD-L1 expression by tumor/immune cells. Two independent observers quantified immune marker expression at the tumor center and invasive margin. Mean and overall compartmental T-cell counts generated standard (binary: Low/High) and higher resolution (quaternary: 0-25, 25-50, 50-75, 75-100%) immune scores, which were used as explanatory features in neural network, support vector machine, and discriminant predictive modeling. Overall T-cell counts were significantly different between the three cohorts: CD3+ (p = <0.0001), CD8+ (p = <0.0001), CD45RO+ (<0.0001), FoxP3+ (p = <0.0001), and PD1+ (p = <0.0001), with LS-associated MMR-deficient tumors having highest infiltrations. There were significant differences in CD8+ (p = 0.02), CD45RO+ (p = 0.007), and PD-1+ (p = 0.005) T-cell counts at the invasive margin between LS-associated and sporadic MMR-deficient tumors, but not between sporadic MMR-deficient and MMR-proficient tumors. Predictive modeling could accurately determine MMR status based on CD8+ T-cell counts within the tumor center alone. This study shows that LS-associated and sporadic MMR-deficient EC are distinct immunological entities, which has important implications for treatment and prognosis.
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Affiliation(s)
- Neal C Ramchander
- University of Manchester Medical School, Manchester, United Kingdom.,Manchester Royal Infirmary, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Neil A J Ryan
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Division of Evolution and Genomic Medicine, Faculty of Biology, Medicine and Health, St. Mary's Hospital, University of Manchester, Manchester, United Kingdom
| | - Thomas D J Walker
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom
| | - Lauren Harries
- Department of Histopathology, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - James Bolton
- Department of Histopathology, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Tjalling Bosse
- Department of Pathology, Leiden University Medical Center, Leiden, Netherlands
| | - D G Evans
- Division of Evolution and Genomic Medicine, Faculty of Biology, Medicine and Health, St. Mary's Hospital, University of Manchester, Manchester, United Kingdom.,Manchester Centre for Genomic Medicine, Manchester Academic Health Science Centre, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
| | - Emma J Crosbie
- Division of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.,Department of Obstetrics and Gynaecology, Manchester Academic Health Science Centre, St. Mary's Hospital, Manchester University NHS Foundation Trust, Manchester, United Kingdom
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Geng P, Ou J, Li J, Liao Y, Wang N, Xie G, Sa R, Liu C, Xiang L, Liang H. A Comprehensive Analysis of Influence ERCC Polymorphisms Confer on the Development of Brain Tumors. Mol Neurobiol 2015; 53:2705-14. [PMID: 26264164 DOI: 10.1007/s12035-015-9371-3] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Accepted: 07/21/2015] [Indexed: 12/21/2022]
Abstract
Within DNA repair genes, there lie a number of single nucleotide polymorphisms that may impair protein function and attenuate DNA repair capability, resulting in genomic instability and individual predisposition to malignancies. The purpose of this study was to assess the previously reported inconsistent association of polymorphisms in ERCC1 (rs11615, rs3212986), ERCC2 (rs13181, rs1799793, rs238406), and ERCC5 (rs17655) with the development of brain tumors. In the present work, we carried out a comprehensive meta-analysis of results from all published data (5 data sets for rs11615, 7 for rs3212986, 11 for rs13181, 5 for rs1799793, 3 for rs238406, and 4 for rs17655) to evaluate risk of brain tumors contributed by the polymorphisms being investigated. Either the analytic method described by Mantel and Haenszel or that proposed by DerSimonian and Laird was properly used to summarize the risk estimates (OR and 95% CI). Data analyses were done with Stata version 12.0. Meta-analyses were performed for all polymorphisms, and only rs3212986 in the ERCC1 gene showed a significant association with glioma incidence. In the homozygote comparison, we found 1.26-fold elevated risk of glioma in relation to presence of the AA genotype (OR = 1.26, 95% CI = 1.05-1.52, P OR = 0.013, P heterogeneity = 0.849, I(2) = 0.0%). We also noted that individuals with the rs3212986-AA as compared to those with rs3212986-CC/CA had a 28% higher risk to develop glioma (OR = 1.28, 95% CI = 1.06-1.53, P OR = 0.008, Pheterogeneity = 0.808, I(2) = 0.0%). No major effects were observed for Caucasians or Asians in subgroup analysis by ethnicity. ERCC1 rs3212986 is a common single nucleotide polymorphism and may contribute toward individual susceptibility for glioma. Further research in this filed is required to verify the association obtained based on a relatively small number.
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Affiliation(s)
- Peiliang Geng
- Department of Oncology and Southwest Cancer Center, Southwest Hospital Third Military Medical University, 29 Gaotanyan Main Street, Chongqing, 400038, China
| | - Juanjuan Ou
- Department of Oncology and Southwest Cancer Center, Southwest Hospital Third Military Medical University, 29 Gaotanyan Main Street, Chongqing, 400038, China
| | - Jianjun Li
- Department of Oncology and Southwest Cancer Center, Southwest Hospital Third Military Medical University, 29 Gaotanyan Main Street, Chongqing, 400038, China
| | - Yunmei Liao
- Department of Oncology and Southwest Cancer Center, Southwest Hospital Third Military Medical University, 29 Gaotanyan Main Street, Chongqing, 400038, China
| | - Ning Wang
- Department of Oncology and Southwest Cancer Center, Southwest Hospital Third Military Medical University, 29 Gaotanyan Main Street, Chongqing, 400038, China
| | - Ganfeng Xie
- Department of Oncology and Southwest Cancer Center, Southwest Hospital Third Military Medical University, 29 Gaotanyan Main Street, Chongqing, 400038, China
| | - Rina Sa
- Department of Oncology and Southwest Cancer Center, Southwest Hospital Third Military Medical University, 29 Gaotanyan Main Street, Chongqing, 400038, China
| | - Chen Liu
- Department of Oncology and Southwest Cancer Center, Southwest Hospital Third Military Medical University, 29 Gaotanyan Main Street, Chongqing, 400038, China
| | - Lisha Xiang
- Department of Oncology and Southwest Cancer Center, Southwest Hospital Third Military Medical University, 29 Gaotanyan Main Street, Chongqing, 400038, China
| | - Houjie Liang
- Department of Oncology and Southwest Cancer Center, Southwest Hospital Third Military Medical University, 29 Gaotanyan Main Street, Chongqing, 400038, China.
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Abstract
ABSTRACT Cancers exhibit differences in metastatic behavior and drug sensitivity that correlate with certain tumor-specific variables such as differentiation grade, growth rate/extent and molecular regulatory aberrations. In practice, patient management is based on the past results of clinical trials adjusted for these biomarkers. Here, it is proposed that treatment strategies could be fine-tuned upfront simply by quantifying tumorigenic spatial (cell growth) and temporal (genetic stability) control losses, as predicted by genetic defects of cell-cycle-regulatory gatekeeper and genome-stabilizing caretaker tumor suppressor genes, respectively. These differential quantifications of tumor dysfunction may in turn be used to create a tumor-specific ‘periodic table’ that guides rational formulation of survival-enhancing anticancer treatment strategies.
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Affiliation(s)
- Richard J Epstein
- *Clinical Informatics & Research Centre, The Kinghorn Cancer Centre, 370 Victoria St, Darlinghurst 2010, Sydney, Australia
- Laboratory of Genome Evolution, Garvan Institute for Medical Research, 384 Victoria St, Darlinghurst 2010, Sydney, Australia
- Department of Oncology, & UNSW Clinical School, St Vincent's Hospital, 390 Victoria St, Darlinghurst 2010 Sydney, Australia
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Fonseca-Sanchéz MA, Pérez-Plasencia C, Fernández-Retana J, Arechaga-Ocampo E, Marchat LA, Rodríguez-Cuevas S, Bautista-Piña V, Arellano-Anaya ZE, Flores-Pérez A, Diaz-Chávez J, López-Camarillo C. microRNA-18b is upregulated in breast cancer and modulates genes involved in cell migration. Oncol Rep 2013; 30:2399-2410. [PMID: 23970382 DOI: 10.3892/or.2013.2691] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2013] [Accepted: 08/02/2013] [Indexed: 11/06/2022] Open
Abstract
microRNAs are small non-coding RNAs of ~22 nucleotides that function at post-transcriptional level as negative regulators of gene expression. Aberrant expression of microRNAs could promote uncontrolled proliferation, migration and invasion of human cancer cells. In this study, we analyzed the expression of microRNA-18b (miR-18b) in breast cancer cell lines and in a set of clinical specimens. Our results showed that miR-18b was upregulated in four out of five breast cancer cell lines and also in breast tumors. In order to identify potential gene targets, we carried out transcriptional profiling of MDA-MB-231 breast cancer cells that ectopically expressed miR-18b. Our results showed that 263 genes were significantly modulated in miR-18b-deficient cells (fold change >1.5; P≤0.05). We found that knock-down of miR-18b induced the upregulation of 55 olfactory receptor (OR) genes and nine genes (NLRP7, KLK3, OLFM3, POSTN, MAGED4B, KIR3DL3, CRX, SEMG1 and CEACAM5) with key roles in cell migration and metastasis. Consistently, we found that ectopic inhibition of miR-18b suppressed the migration of two breast cancer cell models in vitro. In conclusion, we have uncovered genes directly or indirectly modulated by miR-18b which may represent potential therapeutic targets in breast cancer. Our data also pointed out a role of miR-18b in migration of breast cancer cells.
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Affiliation(s)
- Miguel A Fonseca-Sanchéz
- Oncogenomics and Cancer Proteomics Laboratory, Genomics Sciences Program, Autonomous University of Mexico City, Mexico City, Mexico
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Dudek AM, Grotenhuis AJ, Vermeulen SH, Kiemeney LALM, Verhaegh GW. Urinary bladder cancer susceptibility markers. What do we know about functional mechanisms? Int J Mol Sci 2013; 14:12346-66. [PMID: 23752272 PMCID: PMC3709789 DOI: 10.3390/ijms140612346] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2013] [Revised: 05/23/2013] [Accepted: 05/30/2013] [Indexed: 12/24/2022] Open
Abstract
Genome-wide association studies (GWAS) have been successful in the identification of the several urinary bladder cancer (UBC) susceptibility loci, pointing towards novel genes involved in tumor development. Despite that, functional characterization of the identified variants remains challenging, as they mostly map to poorly understood, non-coding regions. Recently, two of the UBC risk variants (PSCA and UGT1A) were confirmed to have functional consequences. They were shown to modify bladder cancer risk by influencing gene expression in an allele-specific manner. Although the role of the other UBC risk variants is unknown, it can be hypothesized-based on studies from different cancer types-that they influence cancer susceptibility by alterations in regulatory networks. The insight into UBC heritability gained through GWAS and further functional studies can impact on cancer prevention and screening, as well as on the development of new biomarkers and future personalized therapies.
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Affiliation(s)
- Aleksandra M. Dudek
- Department of Urology, Radboud University Medical Centre, Geert Grooteplein 16, Nijmegen 6525 GA, The Netherlands; E-Mails: (L.A.L.M.K.); (G.W.V.)
- Department for Health Evidence, Radboud University Medical Centre, Geert Grooteplein 21, Nijmegen 6525 EZ, The Netherlands; E-Mails: (A.J.G.); (S.H.V.)
- Nijmegen Centre for Molecular Life Sciences, Geert Grooteplein 28, Nijmegen 6525 GA, The Netherlands
| | - Anne J. Grotenhuis
- Department for Health Evidence, Radboud University Medical Centre, Geert Grooteplein 21, Nijmegen 6525 EZ, The Netherlands; E-Mails: (A.J.G.); (S.H.V.)
- Nijmegen Centre for Evidence Based Practice, Geert Grooteplein 21, Nijmegen 6525 GA, The Netherlands
| | - Sita H. Vermeulen
- Department for Health Evidence, Radboud University Medical Centre, Geert Grooteplein 21, Nijmegen 6525 EZ, The Netherlands; E-Mails: (A.J.G.); (S.H.V.)
- Nijmegen Centre for Evidence Based Practice, Geert Grooteplein 21, Nijmegen 6525 GA, The Netherlands
| | - Lambertus A. L. M. Kiemeney
- Department of Urology, Radboud University Medical Centre, Geert Grooteplein 16, Nijmegen 6525 GA, The Netherlands; E-Mails: (L.A.L.M.K.); (G.W.V.)
- Department for Health Evidence, Radboud University Medical Centre, Geert Grooteplein 21, Nijmegen 6525 EZ, The Netherlands; E-Mails: (A.J.G.); (S.H.V.)
- Nijmegen Centre for Evidence Based Practice, Geert Grooteplein 21, Nijmegen 6525 GA, The Netherlands
| | - Gerald W. Verhaegh
- Department of Urology, Radboud University Medical Centre, Geert Grooteplein 16, Nijmegen 6525 GA, The Netherlands; E-Mails: (L.A.L.M.K.); (G.W.V.)
- Nijmegen Centre for Molecular Life Sciences, Geert Grooteplein 28, Nijmegen 6525 GA, The Netherlands
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Comprehensive genome- and transcriptome-wide analyses of mutations associated with microsatellite instability in Korean gastric cancers. Genome Res 2013; 23:1109-17. [PMID: 23737375 PMCID: PMC3698504 DOI: 10.1101/gr.145706.112] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Microsatellite instability (MSI) is a critical mechanism that drives genetic aberrations in cancer. To identify the entire MS mutation, we performed the first comprehensive genome- and transcriptome-wide analyses of mutations associated with MSI in Korean gastric cancer cell lines and primary tissues. We identified 18,377 MS mutations of five or more repeat nucleotides in coding sequences and untranslated regions of genes, and discovered 139 individual genes whose expression was down-regulated in association with UTR MS mutation. In addition, we found that 90.5% of MS mutations with deletions in gene regions occurred in UTRs. This analysis emphasizes the genetic diversity of MSI-H gastric tumors and provides clues to the mechanistic basis of instability in microsatellite unstable gastric cancers.
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Alhopuro P, Sammalkorpi H, Niittymäki I, Biström M, Raitila A, Saharinen J, Nousiainen K, Lehtonen HJ, Heliövaara E, Puhakka J, Tuupanen S, Sousa S, Seruca R, Ferreira AM, Hofstra RMW, Mecklin JP, Järvinen H, Ristimäki A, Orntoft TF, Hautaniemi S, Arango D, Karhu A, Aaltonen LA. Candidate driver genes in microsatellite-unstable colorectal cancer. Int J Cancer 2011; 130:1558-66. [PMID: 21544814 DOI: 10.1002/ijc.26167] [Citation(s) in RCA: 91] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2010] [Accepted: 02/18/2011] [Indexed: 01/01/2023]
Abstract
Defects in the mismatch repair system lead to microsatellite instability (MSI), a feature observed in ∼ 15% of all colorectal cancers (CRCs). Microsatellite mutations that drive tumourigenesis, typically inactivation of tumour suppressors, are selected for and are frequently detected in MSI cancers. Here, we evaluated somatic mutations in microsatellite repeats of 790 genes chosen based on reduced expression in MSI CRC and existence of a coding mononucleotide repeat of 6-10 bp in length. All the repeats were initially sequenced in 30 primary MSI CRC samples and whenever frameshift mutations were identified in >20%, additional 70 samples were sequenced. To distinguish driver mutations from passengers, we similarly analyzed the occurrence of frameshift mutations in 121 intronic control repeats and utilized a statistical regression model to determine cut-off mutation frequencies for repeats of all types (A/T and C/G, 6-10 bp). Along with several know target genes, including TGFBR2, ACVR2, and MSH3, six novel candidate driver genes emerged that harbored significantly more mutations than identical control repeats. The mutation frequencies in 100 MSI CRC samples were 51% in G8 of GLYR1, 47% in T9 of ABCC5, 43% in G8 of WDTC1, 33% in A8 of ROCK1, 30% in T8 of OR51E2, and 28% in A8 of TCEB3. Immunohistochemical staining of GLYR1 revealed defective protein expression in tumors carrying biallelic mutations, supporting a loss of function hypothesis. This is a large scale, unbiased effort to identify genes that when mutated are likely to contribute to MSI CRC development.
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Affiliation(s)
- Pia Alhopuro
- Department of Medical Genetics, Genome-Scale Biology Research Program, Biomedicum Helsinki, University of Helsinki, Finland
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de la Chapelle A, Hampel H. Clinical relevance of microsatellite instability in colorectal cancer. J Clin Oncol 2010; 28:3380-7. [PMID: 20516444 DOI: 10.1200/jco.2009.27.0652] [Citation(s) in RCA: 238] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Microsatellite instability (MSI) is a clonal change in the number of repeated DNA nucleotide units in microsatellites. It arises in tumors with deficient mismatch repair due to the inactivation of one of the four mismatch repair genes: MSH2, MLH1, MSH6, and PMS2. In order to determine the MSI status of a tumor, microdissection and polymerase chain reaction-based detection strategies are required. For practical purposes, MSI is equivalent to the loss of staining by immunohistochemistry (IHC) of one of the mismatch repair genes since both signify an abnormality in mismatch repair. Of all colorectal cancers (CRCs), 15% to 20% display MSI or abnormal IHC (often referred to as microsatellite instability [MIN] pathway). The remaining 80% to 85% of CRCs are microsatellite stable but most are characterized by chromosomal instability (CIN pathway). Almost all Lynch syndrome tumors have MSI or abnormal IHC and they account for up to one third of all MIN CRCs (3% to 5% of all CRCs). The remaining MIN tumors are sporadic as a result of somatic inactivation of the MLH1 gene caused by methylation of its promoter. Thus, the presence of a MSI/IHC abnormality prompts further investigations to diagnose Lynch syndrome, whereas its absence excludes Lynch syndrome. We recommend screening all CRC tumors for IHC or MSI. MIN tumors have a more favorable outcome than CIN tumors, and fluorouracil-based adjuvant chemotherapy does not improve the outcome of stage II or stage III MIN tumors. More data are needed to determine how best to treat patients with stage II and stage III MIN CRCs.
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Biswas S, Trobridge P, Romero-Gallo J, Billheimer D, Myeroff LL, Willson JKV, Markowitz SD, Grady WM. Mutational inactivation of TGFBR2 in microsatellite unstable colon cancer arises from the cooperation of genomic instability and the clonal outgrowth of transforming growth factor beta resistant cells. Genes Chromosomes Cancer 2008; 47:95-106. [PMID: 17985359 DOI: 10.1002/gcc.20511] [Citation(s) in RCA: 60] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
The mutational inactivation of transforming growth factor beta receptor type II (TGFBR2) occurs in approximately 30% of colon cancers and promotes the formation of colon cancer by inhibiting the tumor suppressor activity of the TGFB signaling pathway. TGFBR2 mutations occur in >90% of microsatellite unstable (MSI) colon cancers and affect a polyadenine tract in exon 3 of TGFBR2, called BAT-RII, which is vulnerable to mutation in the setting of DNA mismatch repair (MMR) system deficiency. In light of the vulnerable nature of the BAT-RII tract in the setting of MMR inactivation and the favorable effects of TGFBR2 inactivation in colon cancer, analysis of TGFBR2 inactivation provides an opportunity to assess the roles of genomic instability vs. clonal selection in cells acquiring TGFBR2 BAT-RII tract mutations in MSI colon cancer formation. The contribution of genomic instability and/or clonal evolution to the mutational inactivation of TGBFR2 in MSI colon cancers has not been studied in a systematic way that would allow a determination of the relative contribution of these two mechanisms in the formation of MSI colon cancer. It has not been demonstrated whether the BAT-RII tract mutations are strictly a consequence of the BAT-RII region being hypermutable in the setting of MMR deficiency or if the mutations are rather a consequence of clonal selection pressure against the TGFB receptor. Through the use of defined cell line systems, we show that both genomic instability and clonal selection of TGFB resistant cells contribute to the high frequency of TGFBR2 mutations in MSI colon cancer.
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Affiliation(s)
- Swati Biswas
- Department of Medicine, Vanderbilt University Medical School, Nashville, TN, USA
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Abstract
A recent study described a recessive ATPase activating germ-line mutation in smooth-muscle myosin (smmhc/myh11) underlying the zebrafish meltdown (mlt) phenotype. The mlt zebrafish develops intestinal abnormalities reminiscent of human Peutz-Jeghers syndrome (PJS) and juvenile polyposis (JP). To examine the role of MYH11 in human intestinal neoplasia, we searched for MYH11 mutations in patients with colorectal cancer (CRC), PJS and JP. We found somatic protein-elongating frameshift mutations in 55% of CRCs displaying microsatellite instability and in the germ-line of one individual with PJS. Additionally, two somatic missense mutations were found in one microsatellite stable CRC. These two missense mutations, R501L and K1044N, and the frameshift mutations were functionally evaluated. All mutations resulted in unregulated molecules displaying constitutive motor activity, similar to the mutant myosin underlying mlt. Thus, MYH11 mutations appear to contribute also to human intestinal neoplasia. Unregulated MYH11 may affect the cellular energy balance or disturb cell lineage decisions in tumor progenitor cells. These data challenge our view on MYH11 as a passive differentiation marker functioning in muscle contraction and add to our understanding of intestinal neoplasia.
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Buisine MP, Wacrenier A, Mariette C, Leteurtre E, Escande F, Aissi S, Ketele A, Leclercq A, Porchet N, Lesuffleur T. Frequent mutations of the CA simple sequence repeat in intron 1 of EGFR in mismatch repair-deficient colorectal cancers. World J Gastroenterol 2008; 14:1053-9. [PMID: 18286687 PMCID: PMC2689408 DOI: 10.3748/wjg.14.1053] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
AIM: To investigate the polymorphic simple sequence repeat in intron 1 of the epidermal growth factor receptor gene (EGFR) (CA-SSRI), which is known to affect the efficiency of gene transcription as a putative target of the mismatch repair (MMR) machinery in colorectal tumors.
METHODS: The CA-SSR I genotype was analyzed in a total of 86 primary colorectal tumors, selected upon their microsatellite instability (MSI) status [42 with high frequency MSI (MSI-H) and 44 microsatellite stable (MSS)] and their respective normal tissue. The effect of the CA-SSR I genotype on the expression of the EGFR gene was evaluated in 18 specimens using quantitative real-time reverse transcription PCR and immunohistochemistry.
RESULTS: Mutations in CA-SSR I were detected in 86% (36 of 42) of MSI-H colorectal tumors and 0% (0 of 44) of MSS tumors, indicating the EGFR gene as a novel putative specific target of the defective MMR system (P < 0.001). Impaired expression of EGFR was detected in most of the colorectal tumors analyzed [6/12 (50%) at the mRNA level and 15/18 (83%) at the peptide level]. However, no association was apparent between EGFR expression and CA-SSR I status in tumors or normal tissues.
CONCLUSION: Our results suggest that CA-SSRI sequence does not contribute to the regulation of EGFR transcription in colon, and should thus not be considered as a promising predictive marker for response to EGFR inhibitors in patients with colorectal cancer.
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Bonilha VL, Rayborn ME, Shadrach KG, Li Y, Lundwall A, Malm J, Hollyfield JG. Semenogelins in the human retina: Differences in distribution and content between AMD and normal donor tissues. Exp Eye Res 2007; 86:150-6. [PMID: 18036592 DOI: 10.1016/j.exer.2007.10.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2007] [Revised: 10/16/2007] [Accepted: 10/17/2007] [Indexed: 11/29/2022]
Abstract
The two cellular targets of interest in age-related macular degeneration (AMD) are the photoreceptors and the RPE. However, the mechanisms involved in AMD pathology are not yet fully understood. In the present report, we extend our previous studies on semenogelin proteins (Sgs) in normal human retina and compare these with the distribution in retinas from AMD donor eyes. Semenogelins I (SgI) and II (SgII) are the major structural protein components of semen coagulum, but have been recently found in non-genital tissues as well. Cryo and paraffin sections of human retina were processed for both immunofluorescence and DAB reaction with a specific antibody. The presence of SgI was analyzed in retina and RPE total lysates and SgI was detected by western blot in human retina and RPE. The intensity of immunoreactivity was significantly reduced in the AMD eyes. SgI is expressed in the normal human retina and in the retina of AMD donor eyes, where localization was detected in the photoreceptors and in a few ganglion cells. We find the distribution of SgI in the AMD retinas substantially lower than observed in normal retina. SgI localization to photoreceptors and the RPE suggests a possible function related to the ability of these cells to sequester zinc.
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Affiliation(s)
- Vera L Bonilha
- Department of Ophthalmology, The Cole Eye Institute, Cleveland Clinic Lerner College of Medicine, 9500 Euclid Avenue, Cleveland, OH 44195, USA.
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Sammalkorpi H, Alhopuro P, Lehtonen R, Tuimala J, Mecklin JP, Järvinen HJ, Jiricny J, Karhu A, Aaltonen LA. Background mutation frequency in microsatellite-unstable colorectal cancer. Cancer Res 2007; 67:5691-8. [PMID: 17575135 DOI: 10.1158/0008-5472.can-06-4314] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Microsatellite instability (MSI) is observed in approximately 12% of colorectal cancers. Genes containing a mononucleotide microsatellite in the coding sequence are particularly prone to inactivation in MSI tumorigenesis, and much work has been conducted to identify genes with high repetitive tract mutation rates in these tumors. Much less attention has been paid to background mutation frequencies, and no work has focused on nontranscribed regions. Here, we studied 114 nontranscribed intergenic A/T and C/G repeats 6 to 10 bp in length, located distant from known genes, to examine background mutation frequencies in MSI colorectal cancers. A strong correlation with tract length was observed, and mutation frequencies of up to 87% were observed in 8 to 10 bp tracts. Subsequently, to compare the background mutation rate in transcribed and nontranscribed noncoding repeats, we screened nine randomly selected intronic C/G8 repeats. In addition, the coding repeats of seven suggested MSI target genes, and nine previously published intronic A8 and G8 repeats were analyzed. Intronic repeats seemed to mutate less frequently than nontranscribed intergenic repeats. Our results show that strand slippage mutations in mismatch repair-deficient cells are as abundant in short intergenic repeats as in many proposed MSI target genes. However, under mismatch repair deficiency, strand slippage mutations in transcribed sequences seem to be repaired more efficiently than in intergenic nontranscribed sequences. The mechanisms causing these differences are not yet understood and should be a subject for further studies. For MSI target gene identification, repeats in transcribed sequences seem to be the most appropriate reference group for coding region repeat mutations.
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Affiliation(s)
- Heli Sammalkorpi
- Department of Medical Genetics, Biomedicum Helsinki, University of Helsinki, Finland
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Bonilha VL, Rayborn ME, Shadrach K, Lundwall A, Malm J, Bhattacharya SK, Crabb JW, Hollyfield JG. Characterization of semenogelin proteins in the human retina. Exp Eye Res 2006; 83:120-7. [PMID: 16545373 DOI: 10.1016/j.exer.2005.11.011] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2005] [Revised: 11/11/2005] [Accepted: 11/15/2005] [Indexed: 10/24/2022]
Abstract
Semenogelin I and II are the major proteins present in semen coagulum. In the present study, semenogelin I and II were detected in human RPE lysates by proteomic analysis. We further analyzed the expression of these proteins in the retinal cells in vivo and in vitro. Western blots detected semenogelin I and II in both RPE and neural retina while the vitreous contained only SgII. Cryo and paraffin sections of human retina were processed for both immunofluorescence and DAB reaction with an antibody that recognizes both forms of semenogelin proteins. Retina and RPE total lysates were evaluated for the presence of these proteins and in a human RPE cell line (D407). Both proteins were detected by western blot in human RPE and in D407 cell lysates. Immunoreactivity was detected in the ganglion cell and photoreceptor layer of the retina. Our data support the expression of semenogelin I and II in the human retina in several different compartments. Further studies towards addressing the function of these proteins in the retina are in progress.
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Affiliation(s)
- Vera L Bonilha
- Department of Ophthalmic Research, The Cole Eye Institute, Cleveland Clinic Foundation, 9500 Euclid Avenue, Cleveland, OH, 44195, USA.
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