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Søreide K, Watson MM, Lea D, Nordgård O, Søreide JA, Hagland HR. Assessment of clinically related outcomes and biomarker analysis for translational integration in colorectal cancer (ACROBATICC): study protocol for a population-based, consecutive cohort of surgically treated colorectal cancers and resected colorectal liver metastasis. J Transl Med 2016; 14:192. [PMID: 27357108 PMCID: PMC4928276 DOI: 10.1186/s12967-016-0951-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 06/21/2016] [Indexed: 02/08/2023] Open
Abstract
Background More accurate predictive and prognostic biomarkers for patients with colorectal cancer (CRC) primaries or colorectal liver metastasis (CLM) are needed. Outside clinical trials, the translational integration of emerging pathways and novel techniques should facilitate exploration of biomarkers for improved staging and prognosis. Methods An observational study exploring predictive and prognostic biomarkers in a population-based, consecutive cohort of surgically treated colorectal cancers and resected colorectal liver metastases. Long-term outcomes will be cancer-specific survival, recurrence-free survival and overall survival at 5 years from diagnosis. Beyond routine clinicopathological and anthropometric characteristics and laboratory and biochemistry results, the project allows for additional blood samples and fresh-frozen tumour and normal tissue for investigation of circulating tumour cells (CTCs) and novel biomarkers (e.g. immune cells, microRNAs etc.). Tumour specimens will be investigated by immunohistochemistry in full slides. Extracted DNA/RNA will be analysed for genomic markers using specific PCR techniques and next-generation sequencing (NGS) panels. Flow cytometry will be used to characterise biomarkers in blood. Collaboration is open and welcomed, with particular interest in mutual opportunities for validation studies. Status and perspectives The project is ongoing and recruiting at an expected rate of 120–150 patients per year, since January 2013. A project on circulating tumour cells (CTCs) has commenced, with analysis being prepared. Investigating molecular classes beyond the TNM staging is under way, including characteristics of microsatellite instability (MSI) and elevated microsatellite alterations in selected tetranucleotides (EMAST). Hot spot panels for known mutations in CRC are being investigated using NGS. Immune-cell characteristics are being performed by IHC and flow cytometry in tumour and peripheral blood samples. The project has ethical approval (REK Helse Vest, #2012/742), is financially supported with a Ph.D.-Grant (EMAST project; Folke Hermansen Cancer Fund) and a CTC-project (Norwegian Research Council; O. Nordgård). The ACROBATICC clinical and molecular biobank repository will serve as a long-term source for novel exploratory analysis and invite collaborators for mutual validation of promising biomarker results. The project aims to generate results that can help better discern prognostic groups in stage II/III cancers; explore prognostic and predictive biomarkers, and help detail the biology of colorectal liver metastasis for better patient selection and tailored treatment. The project is registered at http://www.ClinicalTrials.gov NCT01762813.
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Affiliation(s)
- Kjetil Søreide
- Department of Gastrointestinal Surgery, Stavanger University Hospital, POB 8100, 4068, Stavanger, Norway. .,Gastrointestinal Translational Research Unit, Laboratory for Molecular Biology, Stavanger University Hospital, Stavanger, Norway. .,Department of Clinical Medicine, University of Bergen, Bergen, Norway.
| | - Martin M Watson
- Department of Gastrointestinal Surgery, Stavanger University Hospital, POB 8100, 4068, Stavanger, Norway.,Gastrointestinal Translational Research Unit, Laboratory for Molecular Biology, Stavanger University Hospital, Stavanger, Norway
| | - Dordi Lea
- Gastrointestinal Translational Research Unit, Laboratory for Molecular Biology, Stavanger University Hospital, Stavanger, Norway.,Department of Pathology, Stavanger University Hospital, Stavanger, Norway
| | - Oddmund Nordgård
- Department of Haematology and Oncology, Stavanger University Hospital, Stavanger, Norway
| | - Jon Arne Søreide
- Department of Gastrointestinal Surgery, Stavanger University Hospital, POB 8100, 4068, Stavanger, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Hanne R Hagland
- Gastrointestinal Translational Research Unit, Laboratory for Molecular Biology, Stavanger University Hospital, Stavanger, Norway.,Centre of Organelle Research (CORE), University of Stavanger, Stavanger, Norway
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304
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Suzuki S, Iwaizumi M, Tseng-Rogenski S, Hamaya Y, Miyajima H, Kanaoka S, Sugimoto K, Carethers JM. Production of truncated MBD4 protein by frameshift mutation in DNA mismatch repair-deficient cells enhances 5-fluorouracil sensitivity that is independent of hMLH1 status. Cancer Biol Ther 2016; 17:760-8. [PMID: 27115207 DOI: 10.1080/15384047.2016.1178430] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
Methyl-CpG binding domain protein 4 (MBD4) is a DNA glycosylase that can remove 5-fluorodeoxyuracil from DNA as well as repair T:G or U:G mismatches. MBD4 is a target for frameshift mutation with DNA mismatch repair (MMR) deficiency, creating a truncated MBD4 protein (TruMBD4) that lacks its glycosylase domain. Here we show that TruMBD4 plays an important role for enhancing 5-fluorouracil (5FU) sensitivity in MMR-deficient colorectal cancer cells. We found biochemically that TruMBD4 binds to 5FU incorporated into DNA with higher affinity than MBD4. TruMBD4 reduced the 5FU affinity of the MMR recognition complexes that determined 5FU sensitivity by previous reports, suggesting other mechanisms might be operative to trigger cytotoxicity. To analyze overall 5FU sensitivity with TruMBD4, we established TruMBD4 overexpression in hMLH1-proficient or -deficient colorectal cancer cells followed by treatment with 5FU. 5FU-treated TruMBD4 cells demonstrated diminished growth characteristics compared to controls, independently of hMLH1 status. Flow cytometry revealed more 5FU-treated TruMBD4 cells in S phase than controls. We conclude that patients with MMR-deficient cancers, which show characteristic resistance to 5FU therapy, may be increased for 5FU sensitivity via secondary frameshift mutation of the base excision repair gene MBD4.
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Affiliation(s)
- Satoshi Suzuki
- a First Department of Medicine , Hamamatsu University School of Medicine , Hamamatsu , Shizuoka , Japan
| | - Moriya Iwaizumi
- a First Department of Medicine , Hamamatsu University School of Medicine , Hamamatsu , Shizuoka , Japan.,b Division of Gastroenterology, Department of Internal Medicine and Department of Human Genetics, University of Michigan , Ann Arbor , MA , USA
| | - Stephanie Tseng-Rogenski
- b Division of Gastroenterology, Department of Internal Medicine and Department of Human Genetics, University of Michigan , Ann Arbor , MA , USA
| | - Yasushi Hamaya
- a First Department of Medicine , Hamamatsu University School of Medicine , Hamamatsu , Shizuoka , Japan.,b Division of Gastroenterology, Department of Internal Medicine and Department of Human Genetics, University of Michigan , Ann Arbor , MA , USA
| | - Hiroaki Miyajima
- a First Department of Medicine , Hamamatsu University School of Medicine , Hamamatsu , Shizuoka , Japan
| | - Shigeru Kanaoka
- c Department of Gastroenterology , Hamamatsu Medical Center , Shizuoka , Japan
| | - Ken Sugimoto
- a First Department of Medicine , Hamamatsu University School of Medicine , Hamamatsu , Shizuoka , Japan
| | - John M Carethers
- b Division of Gastroenterology, Department of Internal Medicine and Department of Human Genetics, University of Michigan , Ann Arbor , MA , USA
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305
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Watson MM, Lea D, Rewcastle E, Hagland HR, Søreide K. Elevated microsatellite alterations at selected tetranucleotides in early-stage colorectal cancers with and without high-frequency microsatellite instability: same, same but different? Cancer Med 2016; 5:1580-7. [PMID: 27061136 PMCID: PMC4944885 DOI: 10.1002/cam4.709] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2016] [Revised: 02/26/2016] [Accepted: 02/29/2016] [Indexed: 12/21/2022] Open
Abstract
Microsatellite instability (MSI) is associated with better prognosis in colorectal cancer (CRC). Elevated microsatellite alterations at selected tetranucleotides (EMAST) is a less‐understood form of MSI. Here, we aim to investigate the role of EMAST in CRC±MSI related to clinical and tumor‐specific characteristics. A consecutive, population‐based series of stage I–III colorectal cancers were investigated for MSI and EMAST using PCR primers for 10 microsatellite markers. Of 151 patients included, 33 (21.8%) had MSI and 35 (23.2%) were EMAST+, with an overlap of 77% for positivity, (odds ratio [OR] 61; P < 0.001), and 95% for both markers being negative. EMAST was more prevalent in colon versus rectum (86% vs. 14%, P = 0.004). EMAST+ cancers were significantly more frequent in proximal colon (77 vs. 23%, P = 0.004), had advanced t‐stage (T3–4 vs. T1–2 in 94% vs. 6%, respectively; P = 0.008), were larger (≥5 cm vs. <5 cm in 63% and 37%, respectively; P = 0.022) and had poorly differentiated tumor grade (71 vs. 29%, P < 0.01). Furthermore, EMAST+ tumors had a higher median number of harvested lymph nodes than EMAST− (11 vs. 9 nodes; P = 0.03). No significant association was found between EMAST status and age, gender, presence of distant metastases or metastatic lymph nodes, and overall survival. A nonsignificant difference toward worse survival in node‐negative colon cancers needs confirmation in larger cohorts. EMAST+ cancers overlap and share features with MSI+ in CRC. Overall, survival was not influenced by the presence of EMAST, but may be of importance in subgroups such as node‐negative disease of the colon.
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Affiliation(s)
- Martin M Watson
- Department of Gastrointestinal Surgery, Stavanger University Hospital, Stavanger, Norway.,Gastrointestinal Translational Research Unit, Molecular Laboratory, Hillevåg, Stavanger University Hospital, Stavanger, Norway
| | - Dordi Lea
- Gastrointestinal Translational Research Unit, Molecular Laboratory, Hillevåg, Stavanger University Hospital, Stavanger, Norway.,Department of Pathology, Stavanger University Hospital, Stavanger, Norway
| | - Emma Rewcastle
- Department of Pathology, Stavanger University Hospital, Stavanger, Norway
| | - Hanne R Hagland
- Gastrointestinal Translational Research Unit, Molecular Laboratory, Hillevåg, Stavanger University Hospital, Stavanger, Norway.,Centre for Organelle Research (CORE), University of Stavanger, Stavanger, Norway
| | - Kjetil Søreide
- Department of Gastrointestinal Surgery, Stavanger University Hospital, Stavanger, Norway.,Gastrointestinal Translational Research Unit, Molecular Laboratory, Hillevåg, Stavanger University Hospital, Stavanger, Norway.,Department of Clinical Medicine, University of Bergen, Bergen, Norway
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312
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Nishi A, Milner DA, Giovannucci EL, Nishihara R, Tan AS, Kawachi I, Ogino S. Integration of molecular pathology, epidemiology and social science for global precision medicine. Expert Rev Mol Diagn 2015; 16:11-23. [PMID: 26636627 PMCID: PMC4713314 DOI: 10.1586/14737159.2016.1115346] [Citation(s) in RCA: 74] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The precision medicine concept and the unique disease principle imply that each patient has unique pathogenic processes resulting from heterogeneous cellular genetic and epigenetic alterations and interactions between cells (including immune cells) and exposures, including dietary, environmental, microbial and lifestyle factors. As a core method field in population health science and medicine, epidemiology is a growing scientific discipline that can analyze disease risk factors and develop statistical methodologies to maximize utilization of big data on populations and disease pathology. The evolving transdisciplinary field of molecular pathological epidemiology (MPE) can advance biomedical and health research by linking exposures to molecular pathologic signatures, enhancing causal inference and identifying potential biomarkers for clinical impact. The MPE approach can be applied to any diseases, although it has been most commonly used in neoplastic diseases (including breast, lung and colorectal cancers) because of availability of various molecular diagnostic tests. However, use of state-of-the-art genomic, epigenomic and other omic technologies and expensive drugs in modern healthcare systems increases racial, ethnic and socioeconomic disparities. To address this, we propose to integrate molecular pathology, epidemiology and social science. Social epidemiology integrates the latter two fields. The integrative social MPE model can embrace sociology, economics and precision medicine, address global health disparities and inequalities, and elucidate biological effects of social environments, behaviors and networks. We foresee advancements of molecular medicine, including molecular diagnostics, biomedical imaging and targeted therapeutics, which should benefit individuals in a global population, by means of an interdisciplinary approach of integrative MPE and social health science.
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Affiliation(s)
- Akihiro Nishi
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Danny A Milner
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Edward L. Giovannucci
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Reiko Nishihara
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Andy S. Tan
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Ichiro Kawachi
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
| | - Shuji Ogino
- Yale Institute for Network Science, New Haven, CT, USA (AN); Department of Sociology, Yale University, New Haven, CT, USA (AN); Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (DAM, SO); Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA (DAM); Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN, SO); Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA (ELG, RN); Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA (ELG); Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA (RN); Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA (RN, AST, SO); Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA (AST, IK)
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