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Fialková V, Ďúranová H, Borotová P, Klongová L, Grabacka M, Speváková I. Natural Stilbenes: Their Role in Colorectal Cancer Prevention, DNA Methylation, and Therapy. Nutr Cancer 2024; 76:760-788. [PMID: 38950568 DOI: 10.1080/01635581.2024.2364391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Revised: 05/29/2024] [Accepted: 05/31/2024] [Indexed: 07/03/2024]
Abstract
The resistance of colorectal cancer (CRC) to conventional therapeutic modalities, such as radiation therapy and chemotherapy, along with the associated side effects, significantly limits effective anticancer strategies. Numerous epigenetic investigations have unveiled that naturally occurring stilbenes can modify or reverse abnormal epigenetic alterations, particularly aberrant DNA methylation status, offering potential avenues for preventing or treating CRC. By modulating the activity of the DNA methylation machinery components, phytochemicals may influence the various stages of CRC carcinogenesis through multiple molecular mechanisms. Several epigenetic studies, especially preclinical research, have highlighted the effective DNA methylation modulatory effects of stilbenes with minimal adverse effects on organisms, particularly in combination therapies for CRC. However, the available preclinical and clinical data regarding the effects of commonly encountered stilbenes against CRC are currently limited. Therefore, additional epigenetic research is warranted to explore the preventive potential of these phytochemicals in CRC development and to validate their therapeutic application in the prevention and treatment of CRC. This review aims to provide an overview of selected bioactive stilbenes as potential chemopreventive agents for CRC with a focus on their modulatory mechanisms of action, especially in targeting alterations in DNA methylation machinery in CRC.
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Affiliation(s)
- Veronika Fialková
- AgroBioTech Research Centre, Slovak University of Agriculture, Nitra, Slovakia
| | - Hana Ďúranová
- AgroBioTech Research Centre, Slovak University of Agriculture, Nitra, Slovakia
| | - Petra Borotová
- AgroBioTech Research Centre, Slovak University of Agriculture, Nitra, Slovakia
| | - Lucia Klongová
- AgroBioTech Research Centre, Slovak University of Agriculture, Nitra, Slovakia
| | - Maja Grabacka
- Department of Biotechnology and General Technology of Foods, Faculty of Food Technology, University of Agriculture, Cracow, Poland
| | - Ivana Speváková
- AgroBioTech Research Centre, Slovak University of Agriculture, Nitra, Slovakia
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2
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Weng YY, Huang MY. The CpG Island Methylator Phenotype Status in Synchronous and Solitary Primary Colorectal Cancers: Prognosis and Effective Therapeutic Drug Prediction. Int J Mol Sci 2024; 25:5243. [PMID: 38791280 PMCID: PMC11121449 DOI: 10.3390/ijms25105243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Revised: 05/08/2024] [Accepted: 05/09/2024] [Indexed: 05/26/2024] Open
Abstract
Synchronous colorectal cancer (sCRC) is characterized by the occurrence of more than one tumor within six months of detecting the first tumor. Evidence suggests that sCRC might be more common in the serrated neoplasia pathway, marked by the CpG island methylator phenotype (CIMP), than in the chromosomal instability pathway (CIN). An increasing number of studies propose that CIMP could serve as a potential epigenetic predictor or prognostic biomarker of sCRC. Therapeutic drugs already used for treating CIMP-positive colorectal cancers (CRCs) are reviewed and drug selections for sCRC patients are discussed.
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Affiliation(s)
- Yun-Yun Weng
- Department of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
| | - Ming-Yii Huang
- Department of Radiation Oncology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 807, Taiwan;
- Department of Radiation Oncology, School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung 807, Taiwan
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Rejali L, Seifollahi Asl R, Sanjabi F, Fatemi N, Asadzadeh Aghdaei H, Saeedi Niasar M, Ketabi Moghadam P, Nazemalhosseini Mojarad E, Mini E, Nobili S. Principles of Molecular Utility for CMS Classification in Colorectal Cancer Management. Cancers (Basel) 2023; 15:2746. [PMID: 37345083 PMCID: PMC10216373 DOI: 10.3390/cancers15102746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 05/05/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023] Open
Abstract
Colorectal cancer (CRC) is the second cause of cancer-related deaths in both sexes globally and presents different clinical outcomes that are described by a range of genomic and epigenomic alterations. Despite the advancements in CRC screening plans and treatment strategies, the prognosis of CRC is dismal. In the last two decades, molecular biomarkers predictive of prognosis have been identified in CRC, although biomarkers predictive of treatment response are only available for specific biological drugs used in stage IV CRC. Translational clinical trials mainly based on "omic" strategies allowed a better understanding of the biological heterogeneity of CRCs. These studies were able to classify CRCs into subtypes mainly related to prognosis, recurrence risk, and, to some extent, also to treatment response. Accordingly, the comprehensive molecular characterizations of CRCs, including The Cancer Genome Atlas (TCGA) and consensus molecular subtype (CMS) classifications, were presented to improve the comprehension of the genomic and epigenomic landscapes of CRCs for a better patient management. The CMS classification obtained by the CRC subtyping consortium categorizes CRC into four consensus molecular subtypes (CMS1-4) characterized by different prognoses. In this review, we discussed the CMS classification in different settings with a focus on its relationships with precursor lesions, tumor immunophenotype, and gut microbiota, as well as on its role in predicting prognosis and/or response to pharmacological treatments, as a crucial step towards precision medicine.
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Affiliation(s)
- Leili Rejali
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran P.O. Box 19875-17411, Iran; (L.R.); (R.S.A.); (N.F.); (H.A.A.); (M.S.N.); (P.K.M.)
| | - Romina Seifollahi Asl
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran P.O. Box 19875-17411, Iran; (L.R.); (R.S.A.); (N.F.); (H.A.A.); (M.S.N.); (P.K.M.)
| | - Fatemeh Sanjabi
- Department of Medical Biotechnology, School of Allied Medicine, Iran University of Medical Sciences, Tehran P.O. Box 14496-14535, Iran;
| | - Nayeralsadat Fatemi
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran P.O. Box 19875-17411, Iran; (L.R.); (R.S.A.); (N.F.); (H.A.A.); (M.S.N.); (P.K.M.)
| | - Hamid Asadzadeh Aghdaei
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran P.O. Box 19875-17411, Iran; (L.R.); (R.S.A.); (N.F.); (H.A.A.); (M.S.N.); (P.K.M.)
| | - Mahsa Saeedi Niasar
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran P.O. Box 19875-17411, Iran; (L.R.); (R.S.A.); (N.F.); (H.A.A.); (M.S.N.); (P.K.M.)
| | - Pardis Ketabi Moghadam
- Basic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran P.O. Box 19875-17411, Iran; (L.R.); (R.S.A.); (N.F.); (H.A.A.); (M.S.N.); (P.K.M.)
| | - Ehsan Nazemalhosseini Mojarad
- Gastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Yaman Street, Chamran Expressway, Tehran P.O. Box 19857-17411, Iran;
| | - Enrico Mini
- Department of Health Sciences, University of Florence, Viale Pieraccini, 6, 50139 Firenze, Italy;
| | - Stefania Nobili
- Department of Neuroscience, Psychology, Drug Research and Child Health—NEUROFARBA—Pharmacology and Toxicology Section, University of Florence, Viale Pieraccini, 6, 50139 Firenze, Italy
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van der Kruijssen DEW, van der Kuil AJS, Vink GR, Punt CJA, de Wilt JHW, Elias SG, Koopman M. Time-varying prognostic value of primary tumor sidedness in metastatic colorectal cancer: A population-based study and meta-analysis. Int J Cancer 2023; 152:1360-1369. [PMID: 36346099 PMCID: PMC10098852 DOI: 10.1002/ijc.34347] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 09/13/2022] [Accepted: 09/23/2022] [Indexed: 11/11/2022]
Abstract
We studied the prognostic value of primary tumor sidedness in metastatic colorectal cancer over time and across treatment lines. Population data on synchronous metastatic colorectal cancer patients were extracted from the Netherlands Cancer Registry and SEER database. Pubmed, EMBASE and Cochrane library were searched for prospective studies on metastatic colorectal cancer to conduct a meta-analysis. Inclusion criteria consisted of metastatic disease, systemic treatment with palliative intent and specification of primary tumor location. Data were pooled using a random-effects model. For the population-based data, multivariable Cox models were constructed. The Grambsch-Therneau test was conducted to evaluate the potential time-varying nature of sidedness. Meta-regression incorporating treatment-line as variable was conducted to test the pre-specified hypothesis that the prognostic value of sidedness varies over time. Analysis of 12 885 and 16 160 synchronous metastatic colorectal cancer patients registered in the Netherlands Cancer Registry and SEER database, respectively, indicated a time-varying prognostic value of sidedness (P < .01). Thirty-one studies were selected for the meta-analysis (9558 patients for overall survival analysis). Pooled univariable hazard ratioleft-sided/right-sided for overall survival was 0.71 (95% CI: 0.65-0.76) in 1st-line, 0.76 (0.54-1.06) in 2nd-line and 1.01 (0.86-1.19) in 3rd-line studies. Hazard ratios were significantly influenced by treatment line (P = .035). The prognostic value of sidedness of the primary tumor in metastatic colorectal cancer patients treated with palliative systemic therapy decreases over time since diagnosis, suggesting that sidedness may not be a useful stratification factor in late-line trials. This decrease in prognostic value should be taken into account when providing prognostic information to patients.
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Affiliation(s)
| | - Auke J. S. van der Kuil
- Department of Medical OncologyUniversity Medical Center Utrecht, Utrecht UniversityUtrechtThe Netherlands
| | - Geraldine R. Vink
- Department of Medical OncologyUniversity Medical Center Utrecht, Utrecht UniversityUtrechtThe Netherlands
- Department of Research and developmentNetherlands Comprehensive Cancer Organisation (IKNL)UtrechtThe Netherlands
| | - Cornelis J. A. Punt
- Department of Epidemiology, Julius Center for Health Sciences and Primary CareUniversity Medical Center Utrecht, Utrecht UniversityUtrechtThe Netherlands
| | | | - Sjoerd G. Elias
- Department of Epidemiology, Julius Center for Health Sciences and Primary CareUniversity Medical Center Utrecht, Utrecht UniversityUtrechtThe Netherlands
| | - Miriam Koopman
- Department of Medical OncologyUniversity Medical Center Utrecht, Utrecht UniversityUtrechtThe Netherlands
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Xu Y, Xiao H, Hu W, Shen HC, Liu W, Tan S, Ren C, Zhang X, Yang X, Yu G, Yang T, Yu D, Zong L. CIMP-positive glioma is associated with better prognosis: A systematic analysis. Medicine (Baltimore) 2022; 101:e30635. [PMID: 36181110 PMCID: PMC9524892 DOI: 10.1097/md.0000000000030635] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 07/29/2022] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND CpG island methylator phenotype (CIMP) was closely related to the degree of pathological differentiation of tumors, and it's an important determinant of glioma pathogenicity. However, the molecular and pathological features of CIMP-positive glioma have not been fully elucidated. In addition, CIMP have been reported to be a useful prognostic marker in several human cancers, yet its prognostic value in gliomas is still controversial. Therefore, we aimed to evaluate gene mutations and pathological features of CIMP-positive glioma and explore the prognostic value of CIMP in gliomas. METHODS We comprehensively searched PubMed, Embase, and MEDLINE for studies describing gene mutations, pathological features and overall survival of gliomas stratified by CIMP status. Odds ratios (OR), hazard ratios (HR), and their 95% confidence intervals (CI) were used to estimate the correlation between CIMP and the outcome parameters. RESULTS Twelve studies with 2386 gliomas (1051 CIMP-positive and 1335 CIMP-negative) were included. Our results showed that CIMP was more frequent in isocitrate dehydrogenase 1 (IDH1)-mutated gliomas (OR 229.07; 95% CI 138.72-378.26) and 1p19q loss of heterozygosis (LOH) gliomas (OR 5.65; 95% CI 2.66-12.01). Pathological analysis showed that CIMP was common in low-malignant oligodendroglioma (OR 5.51; 95% CI 3.95-7.70) with molecular features including IDH1 mutations and 1p19q LOH, but rare in glioblastoma (OR 0.14; 95% CI 0.10-0.19). However, CIMP showed no obvious correlation with anaplastic oligoastrocytomas (OR 1.57; 95% CI 1.24-2.00) or oligoastrocytomas (OR 0.79; 95% CI 0.35-1.76). Concerning the prognosis, we found that CIMP-positive gliomas had longer overall survival (HR 0.57; 95% CI 0.97-0.16) than CIMP-negative gliomas. CONCLUSIONS CIMP could be used as a potential independent prognostic indicator for glioma.
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Affiliation(s)
- Yingying Xu
- Department of General Surgery, Yizhen People’s Hospital, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Huashi Xiao
- Clinical Medical College, Dalian Medical University, Liaoning Province, China
| | - Wenqing Hu
- Department of Gastrointestinal Surgery, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, China
| | - He-Chun Shen
- Department of General Practice, Northern Jiangsu People’s Hospital, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Wanjun Liu
- Department of Clinical Medical Testing Laboratory, Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu Province, China
| | - Siyuan Tan
- Department of General Surgery, Yizhen People’s Hospital, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Chuanli Ren
- Department of Clinical Medical Testing Laboratory, Clinical Medical School of Yangzhou University, Northern Jiangsu People’s Hospital, Yangzhou, Jiangsu Province, China
| | - Xiaomin Zhang
- Central Laboratory, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, China
| | - Xishuai Yang
- Neurology Department, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, China
| | - Guo Yu
- Laboratory of Pharmacogenomics and Pharmacokinetic Research, Subei People’s Hospital, Yangzhou University, Yangzhou, Jiangsu Province, China
| | - Ting Yang
- Central Laboratory, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, China
| | - Duonan Yu
- Jiangsu Key Laboratory of Experimental & Translational Non-coding RNA Research, Yangzhou University School of Medicine, Yangzhou, Jiangsu Province, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Disease and Zoonosis, Yangzhou, Jiangsu Province, China
| | - Liang Zong
- Department of Gastrointestinal Surgery, Changzhi People’s Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi, Shanxi Province, China
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Epithelial de-differentiation triggered by co-ordinate epigenetic inactivation of the EHF and CDX1 transcription factors drives colorectal cancer progression. Cell Death Differ 2022; 29:2288-2302. [PMID: 35606410 PMCID: PMC9613692 DOI: 10.1038/s41418-022-01016-w] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 05/06/2022] [Accepted: 05/07/2022] [Indexed: 11/28/2022] Open
Abstract
Colorectal cancers (CRCs) often display histological features indicative of aberrant differentiation but the molecular underpinnings of this trait and whether it directly drives disease progression is unclear. Here, we identify co-ordinate epigenetic inactivation of two epithelial-specific transcription factors, EHF and CDX1, as a mechanism driving differentiation loss in CRCs. Re-expression of EHF and CDX1 in poorly-differentiated CRC cells induced extensive chromatin remodelling, transcriptional re-programming, and differentiation along the enterocytic lineage, leading to reduced growth and metastasis. Strikingly, EHF and CDX1 were also able to reprogramme non-colonic epithelial cells to express colonic differentiation markers. By contrast, inactivation of EHF and CDX1 in well-differentiated CRC cells triggered tumour de-differentiation. Mechanistically, we demonstrate that EHF physically interacts with CDX1 via its PNT domain, and that these transcription factors co-operatively drive transcription of the colonic differentiation marker, VIL1. Compound genetic deletion of Ehf and Cdx1 in the mouse colon disrupted normal colonic differentiation and significantly enhanced colorectal tumour progression. These findings thus reveal a novel mechanism driving epithelial de-differentiation and tumour progression in CRC.
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Lei R, Zhao Y, Huang K, Wang Q, Wan K, Li T, Yang H, Lv X. The methylation of SDC2 and TFPI2 defined three methylator phenotypes of colorectal cancer. BMC Gastroenterol 2022; 22:88. [PMID: 35227195 PMCID: PMC8886827 DOI: 10.1186/s12876-022-02175-3] [Citation(s) in RCA: 1] [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] [Received: 10/27/2021] [Accepted: 02/17/2022] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND Methylated SDC2 and TFPI2 are widely used for colorectal cancer (CRC) detection. However, they often miss some CRCs, which directly diminishes the sensitivity. Further investigations of the underlying mechanisms leading to the missed samples will facilitate developing more eligible methylation markers. METHODS CRC samples from TCGA and GEO datasets were divided into three groups, High-methylation/ High-methylation (HH), High-methylation/Low-methylation (HL), and Low-methylation/Low-methylation (LL) according to the methylation status of SDC2 and TFPI2 promoters. Variations in age, tumor location and microsatellite instable were then assessed between the three groups and verified in our custom cohort. RESULTS Samples of HL group preferred to derive from left-sided CRCs (P < 0.05). HH samples showed the highest microsatellite instability and mutation load (mean nonsynonymous mutations for HH/HL/LL: 10.55/3.91/7.02, P = 0.0055). Almost all mutations of BRAF, one of the five typical CpG island methylator phenotype (CIMP) related genes, were observed in HH group (HH/HL/LL: 51/0/1, P = 0.018). Besides, older patients were frequently found in HH group. Expression analysis identified 37, 84, and 22 group-specific differentially expressed genes (DEGs) for HH, HL, and LL, respectively. Functional enrichment analysis revealed that HH-specific DEGs were mainly related to transcription regulation, while LL-specific DEGs were enriched in the biological processes of extracellular matrix interaction and cell migration. CONCLUSIONS The current study revealed that the performance of methylation-based markers might be affected by tumor location, patient age, mutation load and MSI, and these respective sides should be considered when developing new methylation markers for CRC detection.
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Affiliation(s)
- Ruixue Lei
- Department of Pathology, The Fourth Affiliated Hospital of Henan University of Science and Technology, Anyang Tumor Hospital, Anyang, Henan, China
| | - Yanteng Zhao
- Department of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Kai Huang
- Department of Gastrointestinal Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Qian Wang
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China
| | - Kangkang Wan
- Wuhan Ammunition Life-Tech Company, Ltd., Wuhan, Hubei, China
| | - Tingting Li
- Wuhan Ammunition Life-Tech Company, Ltd., Wuhan, Hubei, China
| | - Haijun Yang
- Department of Pathology, The Fourth Affiliated Hospital of Henan University of Science and Technology, Anyang Tumor Hospital, Anyang, Henan, China.
| | - Xianping Lv
- Department of Transfusion, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, China.
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van der Kruijssen DEW, van Rooijen KL, Kurk SA, de Wilt JHW, Punt CJA, Vink GR, Elias SG, Koopman M. Role of Up-Front Primary Tumor Resection and Tumor Sidedness in the Survival of Synchronous Metastatic Colon Cancer Patients. Dig Surg 2021; 38:283-289. [PMID: 34320508 DOI: 10.1159/000517477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 05/25/2021] [Indexed: 12/10/2022]
Abstract
INTRODUCTION Uncertainty exists about a possible survival benefit of primary tumor resection (PTR) in synchronous metastatic colon cancer (mCC). Since sidedness of the primary tumor is regarded as an important prognostic factor, our objective was to study the interaction between PTR and sidedness in synchronous mCC. METHODS In this retrospective study, we used data from 2 first-line phase 3 randomized controlled trials (RCTs). A mixed Cox regression model was used to study the multiplicative interaction between PTR and sidedness. We adjusted for age, treatment arm, WHO performance status, number of affected organs by metastases, serum lactate dehydrogenase, and year of enrollment. RESULTS We found that PTR is associated with better survival in both right-sided (hazard ratio [HR] 0.59 [95% confidence interval 0.42-0.8 2]) and left-sided mCC (HR 0.70 [95% confidence interval 0.52-0.93]). The interaction between PTR and sidedness was not significant (p = 0.45). CONCLUSION Our data suggest that the prognostic value of PTR is independent of sidedness. Validation of these results will be performed in ongoing RCTs.
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Affiliation(s)
- Dave E W van der Kruijssen
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Karlijn L van Rooijen
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Sophie A Kurk
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Johannes H W de Wilt
- Department of Surgery, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Cornelis J A Punt
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Geraldine R Vink
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.,Comprehensive Cancer Organization, Utrecht, The Netherlands
| | - Sjoerd G Elias
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Miriam Koopman
- Department of Medical Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
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Zhang L, Li D, Du F, Huang H, Yuan C, Fu J, Sun S, Tian T, Liu X, Sun H, Zhu L, Xu J, Liu Y, Cui B, Zhao Y. A panel of differentially methylated regions enable prognosis prediction for colorectal cancer. Genomics 2021; 113:3285-3293. [PMID: 34302946 DOI: 10.1016/j.ygeno.2021.07.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 06/17/2021] [Accepted: 07/07/2021] [Indexed: 01/22/2023]
Abstract
We aim to identify a panel of differentially methylated regions (DMRs) for predicting survival outcomes for patients with CRC from the TCGA (n = 393). Four DMRs (MUC12, TBX20, CHN2, and B3GNT7) were selected as candidate prognostic markers for CRC. The prediction potential of selected DMRs was validated by the targeted bisulfite sequencing method in an independent cohort with 251 Chinese CRC patients. DMR methylation scores (DMSs) were constructed to evaluate the prognosis of CRC. Results of the validation cohort confirmed that higher DMSs were associated with poor overall survival (OS) of CRC, with hazard ratio (HR) value ranged from 1.445 to 2.698 in multivariable Cox models. Patients in the high prognostic index (high-PI) group showed a markedly unfavorable prognosis compared to the low-PI group in both TCGA discovery cohort (HR = 3.508, 95%CI: 2.196-5.604, P < 0.001) and independent validation cohort (HR = 1.912, 95%CI: 1.258-2.907, P = 0.002).
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Affiliation(s)
- Lei Zhang
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Dapeng Li
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Fenqi Du
- Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Hao Huang
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Chao Yuan
- Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Jinming Fu
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Simin Sun
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Tian Tian
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Xinyan Liu
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Hongru Sun
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Lin Zhu
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Jing Xu
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Yanlong Liu
- Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China
| | - Binbin Cui
- Department of Colorectal Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China.
| | - Yashuang Zhao
- Department of Epidemiology, College of Public Health, Harbin Medical University, Harbin 150081, Heilongjiang Province, PR China.
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Advani SM, Swartz MD, Loree J, Davis JS, Sarsashek AM, Lam M, Lee MS, Bressler J, Lopez DS, Daniel CR, Morris V, Shureqi I, Kee B, Dasari A, Vilar E, Overman M, Hamilton S, Maru D, Braithwaite D, Kopetz S. Epidemiology and Molecular-Pathologic Characteristics of CpG Island Methylator Phenotype (CIMP) in Colorectal Cancer. Clin Colorectal Cancer 2021; 20:137-147.e1. [PMID: 33229221 DOI: 10.1016/j.clcc.2020.09.007] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2020] [Revised: 09/15/2020] [Accepted: 09/18/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND CpG island methylator phenotype (CIMP) forms a distinct epigenetic phenotype in colorectal cancer (CRC). Though associated with distinct clinicopathologic characteristics, limited evidence exists of the association of CIMP with patient's reported lifestyle factors and tumor molecular characteristics. We assessed the associations of these characteristics in a pooled analysis of CRC patients. PATIENTS AND METHODS We pooled data from 3 CRC patient cohorts: Assessment of Targeted Therapies Against Colorectal Cancer (ATTACC), biomarker-based protocol (Integromics), and The Cancer Genome Atlas (TCGA). CIMP was measured using the classical 6-gene methylated-in-tumor (MINT) marker panel (MINT1, MINT2, MINT31, p14, p16, and MLH1) in ATTACC and genome-wide human methylation arrays in Integromics and TCGA, respectively. CIMP-High (CIMP-H) was defined as ≥ 3 of 6 methylated markers in ATTACC. In TCGA and Integromics, CIMP-H group was defined on the basis of clusters of methylation profiles and high levels of methylation in tumor samples. Baseline comparisons of characteristics across CIMP groups (CIMP-H vs. CIMP-0) were performed by Student t test or chi-square test for continuous or categorical variables, respectively. Further logistic regression analyses were performed to compute the odds ratio (OR) of these associations. RESULTS Pooled prevalence of CIMP-H was 22% across 3 data sets. CIMP-H CRC tumors were associated with older age at diagnosis (OR, 1.02; 95% confidence interval [CI], 1.01, 1.03), microsatellite instability-high (MSI-H) status (OR, 9.15; 95% CI, 4.45, 18.81), BRAF mutation (OR, 7.70; 95% CI, 4.98, 11.87), right-sided tumor location (OR, 2.40; 95% CI, 1.78, 3.22), poor differentiation (OR, 2.94; 95% CI, 1.95, 4.45), and mucinous histology (OR, 2.47; 95% CI, 1.77, 3.47), as reported previously in the literature. CIMP-H tumors were also found to be associated with self-reported history of alcohol consumption (OR, ever vs. never, 1.58; 95% CI, 1.07, 2.34). Pathologically, CIMP-H tumors were associated with the presence of intraepithelial lymphocytes (OR, 3.31; 95% CI, 1.41, 7.80) among patients in the Integromics cohort. CONCLUSION CIMP-H tumors were associated with history of alcohol consumption and presence of intraepithelial lymphocytes. In addition, we confirmed the previously known association of CIMP with age, MSI-H status, BRAF mutation, sidedness, and mucinous histology. Molecular pathologic epidemiology associations help us explore the underlying association of lifestyle and clinical factors with molecular subsets like CIMP and help guide cancer prevention and treatment strategies.
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Affiliation(s)
- Shailesh M Advani
- Social Behavioral Research Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, MD; Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX; Department of Oncology, Georgetown University School of Medicine, Washington, DC.
| | - Michael D Swartz
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, Houston, TX
| | - Jonathan Loree
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Jennifer S Davis
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Amir Mehvarz Sarsashek
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Lam
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Sangmin Lee
- Division of Gastrointestinal Oncology, University of North Carolina Chapel Hill, Chapel Hill, NC
| | - Jan Bressler
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, School of Public Health, Houston, TX
| | - David S Lopez
- Department of Preventive Medicine and Population Health, UTMB School of Medicine, Galveston, TX
| | - Carrie R Daniel
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Van Morris
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Imad Shureqi
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Bryan Kee
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Arvind Dasari
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Eduardo Vilar
- Department of Clinical Cancer Prevention, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Michael Overman
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Stanley Hamilton
- Division of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Dipen Maru
- Division of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Dejana Braithwaite
- Department of Oncology, Georgetown University School of Medicine, Washington, DC
| | - Scott Kopetz
- Division of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
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Zhao Z, Zhang J, Zhang W, Tan S, Wei HT, You J, Guo S, Wang J, Chen P, Xu Y, Zong L. Efficacy evaluation of nilotinib treatment in different genomic subtypes of gastrointestinal stromal tumors: A meta-analysis and systematic review. Curr Probl Cancer 2021; 45:100705. [PMID: 33495025 DOI: 10.1016/j.currproblcancer.2020.100705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2019] [Revised: 12/12/2020] [Accepted: 12/16/2020] [Indexed: 10/22/2022]
Abstract
Nilotinib has been used as a third-line drug for gastrointestinal stromal tumors (GISTs) after a failure of sunitinib. In this study, we aimed to evaluate the efficacy of nilotinib in different genomic subtypes of GISTs. We searched the English articles through EMBASE, Cochrane Library and PubMed Database regarding to the use of nilotinib on GISTs, which published up to February 15, 2019. Inclusion criteria were: GISTs patients received nilotinib in a clinical trial and had detailed genetic subtype records (such as KIT exon 9, KIT exon 11, or PDGFRA mutations, or wild-type). The clinical benefit rate was used to assess the efficacy of nilotinib. A total of 3 studies involving 218 GISTs were included in this meta-analysis. The overall OR (KIT group vs WT group) was 3.26 (95% CI: 1.14-9.28; P = 0.027, Pheterogeneity = 0.613). The overall OR in KIT exon 11 group vs WT group was 5.30 (95% CI: 1.79-15.68; P = 0.003, Pheterogeneity = 0.409). The overall OR in KIT exon 9 group vs WT group was 0.13 (95% CI: 0.02-0.86; P = 0.035, Pheterogeneity = 0.229). The overall OR in KIT exon 11 group vs exon 9 group was 9.96 (95% CI: 0.39-254.66; P < 0.0001, Pheterogeneity = 0.024). Different genotypes of GISTs showed different responses to nilotinib, and KIT exon 11-mutant GISTs mostly benefited from nilotinib, followed by KIT exon 9-mutant or WT one.
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Affiliation(s)
- Zekun Zhao
- Department of General Surgery, Tongji Hospital, Medical School of Tongji University, Shanghai, PR China
| | - Jie Zhang
- Department of General Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou, PR China
| | - Wenbing Zhang
- Department of General Surgery, The First Affiliated Hospital of Xingjiang Medical University, Urumqi, Xinjiang Province, PR China
| | - Siyuan Tan
- Department of General Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou, PR China
| | - Hao-Tang Wei
- Department of Gastrointestinal Surgery, The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China
| | - Jun You
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian, PR China
| | - Shanshan Guo
- Department of General Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou, PR China
| | - Jing Wang
- School of Clinical Medicine, Dali University, Dali, Yunnan 671000, PR China
| | - Ping Chen
- Department of General Surgery, The Affiliated Hospital of Yangzhou University, Yangzhou, PR China
| | - Yingying Xu
- Yizheng People's Hospital, Clinical Medical College, Yangzhou University, Yangzhou 211400, Jiangsu Province, China.
| | - Liang Zong
- Changzhi People's Hospital, The Affiliated Hospital of Changzhi Medical College, Changzhi 046000, Shanxi Province, China.
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12
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Nakayama I, Hirota T, Shinozaki E. BRAF Mutation in Colorectal Cancers: From Prognostic Marker to Targetable Mutation. Cancers (Basel) 2020; 12:cancers12113236. [PMID: 33152998 PMCID: PMC7694028 DOI: 10.3390/cancers12113236] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 10/28/2020] [Accepted: 10/29/2020] [Indexed: 12/14/2022] Open
Abstract
Simple Summary Colorectal cancer with a mutation in an oncogene BRAF has paid much attention, as it comprises a population with dismal prognosis since two decades ago. A series of research since then has successfully changed this malignancy to be treatable with specific treatment. Here we thoroughly overviewed the basic, translational and clinical studies on colorectal cancer with BRAF mutation from a physician’s viewpoint. Accumulating lines of evidence suggest that intervention of the trunk cellular growth signal transduction pathway, namely EGFR-RAS-RAF-MEK-ERK pathway, is a clue to controlling this disease. However, it is not so straightforward. Recent studies unveil the diverse and plastic nature of this signal transduction pathway. We will introduce our endeavor to conquer this condition, based on newly arriving datasets, and discuss how we could open the door to future development of CRC treatment. Abstract The Raf murine sarcoma viral oncogene homolog B (BRAF) mutation is detected in 8–12% of metastatic colorectal cancers (mCRCs) and is strongly correlated with poor prognosis. The recent success of the BEACON CRC study and the development of targeted therapy have led to the determination of BRAF-mutated mCRCs as an independent category. For nearly two decades, a growing body of evidence has established the significance of the BRAF mutation in the development of CRC. Herein, we overview both basic and clinical data relevant to BRAF-mutated CRC, mainly focusing on the development of treatment strategies. This review is organized into eight sections, including clinicopathological features, molecular features, prognosis, the predictive value of anti-epidermal growth factor receptor (EGFR) therapy, resistant mechanisms for BRAF-targeting treatment, the heterogeneity of the BRAF mutation, future perspectives, and conclusions. A characterization of the canonical mitogen-activated protein kinase (MAPK) pathway is essential for controlling this malignancy, and the optimal combination of multiple interventions for treatments remains a point of debate.
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Affiliation(s)
- Izuma Nakayama
- Department of Gastroenterological Chemotherapy, Cancer Institute Hospital of the Japanese Foundation for Cancer Research (JFCR), Tokyo 135-8550, Japan
- Correspondence: (I.N.); (E.S.); Tel.: +81-3-3520-0111
| | - Toru Hirota
- Department of Experimental Pathology, Cancer Institute of the Japanese Foundation for Cancer Research (JFCR), Tokyo 135-8550, Japan;
| | - Eiji Shinozaki
- Department of Gastroenterological Chemotherapy, Cancer Institute Hospital of the Japanese Foundation for Cancer Research (JFCR), Tokyo 135-8550, Japan
- Correspondence: (I.N.); (E.S.); Tel.: +81-3-3520-0111
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13
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Wielandt AM, Hurtado C, Moreno C M, Villarroel C, Castro M, Estay M, Simian D, Martinez M, Vial MT, Kronberg U, López-Köstner F. Characterization of Chilean patients with sporadic colorectal cancer according to the three main carcinogenic pathways: Microsatellite instability, CpG island methylator phenotype and Chromosomal instability. Tumour Biol 2020; 42:1010428320938492. [PMID: 32635826 DOI: 10.1177/1010428320938492] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Molecular classification of colorectal cancer is difficult to implement in clinical settings where hundreds of genes are involved, and resources are limited. This study aims to characterize the molecular subtypes of patients with sporadic colorectal cancer based on the three main carcinogenic pathways microsatellite instability (MSI), CpG island methylator phenotype (CIMP), and chromosomal instability (CIN) in a Chilean population. Although several reports have characterized colorectal cancer, most do not represent Latin-American populations. Our study includes 103 colorectal cancer patients who underwent surgery, without neoadjuvant treatment, in a private hospital between 2008 and 2017. MSI, CIN, and CIMP status were assessed. Frequent mutations in KRAS, BRAF, and PIK3CA genes were analyzed by Sanger sequencing, and statistical analysis was performed by Fisher's exact and/or chi-square test. Survival curves were estimated with Kaplan-Meier and log-rank test. Based on our observations, we can classify the tumors in four subgroups, Group 1: MSI-high tumors (15%) are located in the right colon, occur at older age, and 60% show a BRAF mutation; Group 2: CIN-high tumors (38%) are in the left colon, and 26% have KRAS mutations. Group 3: [MSI/CIN/CIMP]-low/negative tumors (30%) are left-sided, and 39% have KRAS mutations; Group 4: CIMP-high tumors (15%) were more frequent in men and left side colon, with 27% KRAS and 7% presented BRAF mutations. Three percent of patients could not be classified. We found that CIMP-high was associated with a worse prognosis, both in MSI-high and MSI stable patients (p = 0.0452). Group 3 (Low/negative tumors) tend to have better overall survival compared with MSI-high, CIMP-high, and CIN-high tumors. This study contributes to understanding the heterogeneity of tumors in the Chilean population being one of the few characterizations performed in Latin-America. Given the limited resources of these countries, these results allow to improve molecular characterization in Latin-American colorectal cancer populations and confirm the possibility of using the three main carcinogenic pathways to define therapeutic strategies.
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Affiliation(s)
- Ana María Wielandt
- Oncology and Molecular Genetics Laboratory, Coloproctology Unit, Clínica Las Condes, Santiago, Chile.,Coloproctology Unit, Clínica Las Condes, Santiago, Chile
| | - Claudia Hurtado
- Oncology and Molecular Genetics Laboratory, Coloproctology Unit, Clínica Las Condes, Santiago, Chile.,Coloproctology Unit, Clínica Las Condes, Santiago, Chile
| | - Mauricio Moreno C
- Oncology and Molecular Genetics Laboratory, Coloproctology Unit, Clínica Las Condes, Santiago, Chile.,Coloproctology Unit, Clínica Las Condes, Santiago, Chile
| | - Cynthia Villarroel
- Oncology and Molecular Genetics Laboratory, Coloproctology Unit, Clínica Las Condes, Santiago, Chile
| | - Magdalena Castro
- Academic Department Research Unit, Clínica Las Condes, Santiago, Chile
| | - Marlene Estay
- Coloproctology Unit, Clínica Las Condes, Santiago, Chile
| | - Daniela Simian
- Academic Department Research Unit, Clínica Las Condes, Santiago, Chile
| | - Maripaz Martinez
- Academic Department Research Unit, Clínica Las Condes, Santiago, Chile
| | | | - Udo Kronberg
- Coloproctology Unit, Clínica Las Condes, Santiago, Chile
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14
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Nguyen LH, Goel A, Chung DC. Pathways of Colorectal Carcinogenesis. Gastroenterology 2020; 158:291-302. [PMID: 31622622 PMCID: PMC6981255 DOI: 10.1053/j.gastro.2019.08.059] [Citation(s) in RCA: 294] [Impact Index Per Article: 58.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Revised: 08/13/2019] [Accepted: 08/15/2019] [Indexed: 12/15/2022]
Abstract
Colorectal cancer is a heterogeneous disease that develops via stepwise accumulation of well-characterized genetic and epigenetic alterations. We review the genetic changes associated with the development of precancerous colorectal adenomas and their progression to tumors, as well as the effects of defective DNA repair, chromosome instability, microsatellite instability, and alterations in the serrated pathway and DNA methylation. We provide insights into the different molecular subgroups of colorectal tumors that develop via each of these different mechanisms and their associations with patient outcomes.
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Affiliation(s)
- Long H Nguyen
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts
| | - Ajay Goel
- Center for Gastrointestinal Research, Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute, Dallas, Texas; Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas; Beckman Research Institute, City of Hope Comprehensive Cancer Center, Duarte, California.
| | - Daniel C Chung
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Center for Cancer Risk Assessment, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
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15
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Advani SM, Advani PS, Brown DW, DeSantis SM, Korphaisarn K, VonVille HM, Bressler J, Lopez DS, Davis JS, Daniel CR, Sarshekeh AM, Braithwaite D, Swartz MD, Kopetz S. Global differences in the prevalence of the CpG island methylator phenotype of colorectal cancer. BMC Cancer 2019; 19:964. [PMID: 31623592 PMCID: PMC6796359 DOI: 10.1186/s12885-019-6144-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2019] [Accepted: 09/10/2019] [Indexed: 02/07/2023] Open
Abstract
Background CpG Island Methylator Phenotype (CIMP) is an epigenetic phenotype in CRC characterized by hypermethylation of CpG islands in promoter regions of tumor suppressor genes, leading to their transcriptional silencing and loss of function. While the prevalence of CRC differs across geographical regions, no studies have compared prevalence of CIMP-High phenotype across regions. The purpose of this project was to compare the prevalence of CIMP across geographical regions after adjusting for variations in methodologies to measure CIMP in a meta-analysis. Methods We searched PubMed, Medline, and Embase for articles focusing on CIMP published from 2000 to 2018. Two reviewers independently identified 111 articles to be included in final meta-analysis. We classified methods used to quantify CIMP into 4 categories: a) Classical (MINT marker) Panel group b) Weisenberg-Ogino (W-O) group c) Human Methylation Arrays group and d) Miscellaneous group. We compared the prevalence of CIMP across geographical regions after correcting for methodological variations using meta-regression techniques. Results The pooled prevalence of CIMP-High across all studies was 22% (95% confidence interval:21–24%; I2 = 94.75%). Pooled prevalence of CIMP-H across Asia, Australia, Europe, North America and South America was 22, 21, 21, 27 and 25%, respectively. Meta-regression analysis identified no significant differences in the prevalence of CIMP-H across geographical regions after correction for methodological variations. In exploratory analysis, we observed variations in CIMP-H prevalence across countries. Conclusion Although no differences were found for CIMP-H prevalence across countries, further studies are needed to compare the influence of demographic, lifestyle and environmental factors in relation to the prevalence of CIMP across geographical regions.
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Affiliation(s)
- Shailesh Mahesh Advani
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 0426, Houston, TX, 77030, USA. .,Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington DC, 20007, USA. .,Social Behavioral Research Branch, National Human Genome Research Institute, National Institute of Health, Bethesda, MD, 20892, USA.
| | - Pragati Shailesh Advani
- Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Institutes of Health, National Cancer Institute, Rockville, MD, 20850, USA
| | - Derek W Brown
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Stacia M DeSantis
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Krittiya Korphaisarn
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 0426, Houston, TX, 77030, USA
| | - Helena M VonVille
- Library, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Jan Bressler
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - David S Lopez
- Division of Urology- UTHealth McGovern Medical School, Houston, TX, 77030, USA.,Department of Preventive Medicine and Community Health, UTMB Health-School of Medicine, Galveston, TX, 77555-1153, USA
| | - Jennifer S Davis
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Carrie R Daniel
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA
| | - Amir Mehrvarz Sarshekeh
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 0426, Houston, TX, 77030, USA
| | - Dejana Braithwaite
- Cancer Prevention and Control Program, Lombardi Comprehensive Cancer Center, Georgetown University, Washington DC, 20007, USA
| | - Michael D Swartz
- Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Unit 0426, Houston, TX, 77030, USA.
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16
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Xie Y, Huang Y, Ruan Q, Wang H, Liang X, Hu Z, Li X. Impact of Tumor Site on Lymph Node Status and Survival in Colon Cancer. J Cancer 2019; 10:2376-2383. [PMID: 31258741 PMCID: PMC6584349 DOI: 10.7150/jca.32038] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Accepted: 04/12/2019] [Indexed: 12/24/2022] Open
Abstract
Objective Our objective was to explore the impact of tumor sites on lymph node (LN) status and prognosis in non-distant metastasis colon cancer after radical operation. Methods Surveillance, epidemiology, and end results (SEER) database was used to identify 124, 836 early-stage colon cancer patients between 1988 and 2010, treated with radical surgery with a known tumor site. Seven tumor sites were defined as ascending, hepatic, cecum, transverse, descending, splenic, and sigmoid colons by the anatomical location. The associations of tumor site and LN status, including adequate (≥12) LN harvest and LN positivity, were examined with logistic regression, adjusting for multiple covariates. Relative survival was compared in a flexible parametric model. Results The quartile number of LN examined gradually decreased from ascending to sigmoid colon cancer (P<0.001 for all patients, and T2, T3 and T4 stages). More numbers of LN examined and a higher proportion of LN positivity were retrieved in left-half colon cancer than in right-half colon cancer. Cumulative incidence of death (CID) was higher in patients with less LN examined except for the group of cecum colon cancer, but there was no significant difference between all groups (5-year CID: 18.99%~21.98% for LN count ≥ 12 and 23.01%~26.89% for LN count <12). Conclusions LN examined and LN positivity in colon cancer were important prognostic factors. There was no significant CDI difference between groups with different tumor sites. Current guidelines for extent of resection should take this into consideration so that and unnecessary treatment may be avoided.
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Affiliation(s)
- Yayun Xie
- Department of General Surgery, Changzheng Hospital, the Second Military Medical University, 415 S. Fengyang Road, Shanghai. 200003, China
| | - Yu Huang
- Department of General Surgery, Changzheng Hospital, the Second Military Medical University, 415 S. Fengyang Road, Shanghai. 200003, China
| | - Qi Ruan
- The University of Queensland Diamantina Institute, University of Queensland, Translational Research Institute, Brisbane, QLD 4102, Australia
| | - Haolu Wang
- The University of Queensland Diamantina Institute, University of Queensland, Translational Research Institute, Brisbane, QLD 4102, Australia
| | - Xiaowen Liang
- The University of Queensland Diamantina Institute, University of Queensland, Translational Research Institute, Brisbane, QLD 4102, Australia
| | - Zhiqian Hu
- Department of General Surgery, Changzheng Hospital, the Second Military Medical University, 415 S. Fengyang Road, Shanghai. 200003, China
| | - Xinxing Li
- Department of General Surgery, Changzheng Hospital, the Second Military Medical University, 415 S. Fengyang Road, Shanghai. 200003, China
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17
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Ibrahim J, Op de Beeck K, Fransen E, Croes L, Beyens M, Suls A, Vanden Berghe W, Peeters M, Van Camp G. Methylation analysis of Gasdermin E shows great promise as a biomarker for colorectal cancer. Cancer Med 2019; 8:2133-2145. [PMID: 30993897 PMCID: PMC6536921 DOI: 10.1002/cam4.2103] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 03/05/2019] [Accepted: 03/05/2019] [Indexed: 12/17/2022] Open
Abstract
In addition to its implication in hereditary hearing loss, the Gasdermin E (GSDME) gene is also a tumor suppressor involved in cancer progression through programmed cell death. GSDME epigenetic silencing through methylation has been shown in some cancer types, but studies are yet to fully explore its diagnostic/prognostic potential in colorectal cancer on a large-scale. We used public data from The Cancer Genome Atlas (TCGA) to investigate differences in GSDME methylation and expression between colorectal cancer and normal colorectal tissue, and between left- and right-sided colorectal cancers in 432 samples. We also explored GSDME's diagnostic capacity as a biomarker for colorectal cancer. We observed differential methylation in all 22 GSDME CpGs between tumor and normal tissues, and in 18 CpGs between the left- and right-sided groups. In the cancer tissue, putative promoter probes were hypermethylated and gene body probes were hypomethylated, while this pattern was inversed in normal tissues. Both putative promoter and gene body CpGs correlated well together but formed distinct methylation patterns with the putative promoter exhibiting the most pronounced methylation differences between tumor and normal tissues. Clinicopathological parameters, excluding age, did not show any effect on CpG methylation. Although the methylation of 5 distinct probes was a good predictor of gene expression, we could not identify an association between GSDME methylation and expression in general. Survival analysis showed no association between GSDME methylation and expression on 5-year patient survival. Through logistic regression, we identified a combination of 2 CpGs, that can discriminate between cancer and normal tissue with high accuracy (AUC = 0.95) irrespective of age and tumor stage. We also validated our model in 3 external methylation datasets, from the Gene Expression Omnibus database, and similar results were reached. Our results suggest that GSDME is a promising biomarker for the detection of colorectal cancer.
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Affiliation(s)
- Joe Ibrahim
- Centre of Medical GeneticsUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
- Centre for Oncological ResearchUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
| | - Ken Op de Beeck
- Centre of Medical GeneticsUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
- Centre for Oncological ResearchUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
| | - Erik Fransen
- Centre of Medical GeneticsUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
- StatUa Centre for StatisticsUniversity of AntwerpAntwerpBelgium
| | - Lieselot Croes
- Centre of Medical GeneticsUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
- Centre for Oncological ResearchUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
| | - Matthias Beyens
- Centre of Medical GeneticsUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
- Centre for Oncological ResearchUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
| | - Arvid Suls
- Centre of Medical GeneticsUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
| | - Wim Vanden Berghe
- Laboratory of Protein Chemistry, Proteomics and Epigenetic Signaling, Department of Biomedical SciencesUniversity of AntwerpAntwerpBelgium
| | - Marc Peeters
- Centre for Oncological ResearchUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
- Department of Medical OncologyAntwerp University HospitalEdegemBelgium
| | - Guy Van Camp
- Centre of Medical GeneticsUniversity of Antwerp and Antwerp University HospitalEdegemBelgium
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Vedeld HM, Goel A, Lind GE. Epigenetic biomarkers in gastrointestinal cancers: The current state and clinical perspectives. Semin Cancer Biol 2018; 51:36-49. [PMID: 29253542 PMCID: PMC7286571 DOI: 10.1016/j.semcancer.2017.12.004] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2017] [Revised: 11/17/2017] [Accepted: 12/12/2017] [Indexed: 02/07/2023]
Abstract
Each year, almost 4.1 million people are diagnosed with gastrointestinal (GI) cancers. Due to late detection of this disease, the mortality is high, causing approximately 3 million cancer-related deaths annually, worldwide. Although the incidence and survival differs according to organ site, earlier detection and improved prognostication have the potential to reduce overall mortality burden from these cancers. Epigenetic changes, including aberrant promoter DNA methylation, are common events in both cancer initiation and progression. Furthermore, such changes may be identified non-invasively with the use of PCR based methods, in bodily fluids of cancer patients. These features make aberrant DNA methylation a promising substrate for the development of disease biomarkers for early detection, prognosis and for predicting response to therapy. In this article, we will provide an update and current clinical perspectives for DNA methylation alterations in patients with colorectal, gastric, pancreatic, liver and esophageal cancers, and discuss their potential role as cancer biomarkers.
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Affiliation(s)
- Hege Marie Vedeld
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Norwegian Radium Hospital, Oslo, Norway; K.G. Jebsen Colorectal Cancer Research Centre, Oslo University Hospital, Oslo, Norway; Centre for Cancer Biomedicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
| | - Ajay Goel
- Center for Gastrointestinal Research, and Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA.
| | - Guro E Lind
- Department of Molecular Oncology, Institute for Cancer Research, Oslo University Hospital, Norwegian Radium Hospital, Oslo, Norway; K.G. Jebsen Colorectal Cancer Research Centre, Oslo University Hospital, Oslo, Norway; Centre for Cancer Biomedicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
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19
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Clinical, Pathological, and Molecular Characteristics of CpG Island Methylator Phenotype in Colorectal Cancer: A Systematic Review and Meta-analysis. Transl Oncol 2018; 11:1188-1201. [PMID: 30071442 PMCID: PMC6080640 DOI: 10.1016/j.tranon.2018.07.008] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Revised: 07/10/2018] [Accepted: 07/10/2018] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND: CpG island methylator phenotype (CIMP) tumors, comprising 20% of colorectal cancers, are associated with female sex, age, right-sided location, and BRAF mutations. However, other factors potentially associated with CIMP have not been robustly examined. This meta-analysis provides a comprehensive assessment of the clinical, pathologic, and molecular characteristics that define CIMP tumors. METHODS: We conducted a comprehensive search of the literature from January 1999 through April 2018 and identified 122 articles, on which comprehensive data abstraction was performed on the clinical, pathologic, molecular, and mutational characteristics of CIMP subgroups, classified based on the extent of DNA methylation of tumor suppressor genes assessed using a variety of laboratory methods. Associations of CIMP with outcome parameters were estimated using pooled odds ratio or standardized mean differences using random-effects model. RESULTS: We confirmed prior associations including female sex, older age, right-sided tumor location, poor differentiation, and microsatellite instability. In addition to the recognized association with BRAF mutations, CIMP was also associated with PIK3CA mutations and lack of mutations in KRAS and TP53. Evidence of an activated immune response was seen with high rates of tumor-infiltrating lymphocytes (but not peritumoral lymphocytes), Crohn-like infiltrates, and infiltration with Fusobacterium nucleatum bacteria. Additionally, CIMP tumors were associated with advance T-stage and presence of perineural and lymphovascular invasion. CONCLUSION: The meta-analysis highlights key features distinguishing CIMP in colorectal cancer, including molecular characteristics of an active immune response. Improved understanding of this unique molecular subtype of colorectal cancer may provide insights into prevention and treatment.
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20
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Prognostic DNA methylation markers for sporadic colorectal cancer: a systematic review. Clin Epigenetics 2018; 10:35. [PMID: 29564023 PMCID: PMC5851322 DOI: 10.1186/s13148-018-0461-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 02/21/2018] [Indexed: 02/06/2023] Open
Abstract
Background Biomarkers that can predict the prognosis of colorectal cancer (CRC) patients and that can stratify high-risk early stage patients from low-risk early stage patients are urgently needed for better management of CRC. During the last decades, a large variety of prognostic DNA methylation markers has been published in the literature. However, to date, none of these markers are used in clinical practice. Methods To obtain an overview of the number of published prognostic methylation markers for CRC, the number of markers that was validated independently, and the current level of evidence (LoE), we conducted a systematic review of PubMed, EMBASE, and MEDLINE. In addition, we scored studies based on the REMARK guidelines that were established in order to attain more transparency and complete reporting of prognostic biomarker studies. Eighty-three studies reporting on 123 methylation markers fulfilled the study entry criteria and were scored according to REMARK. Results Sixty-three studies investigated single methylation markers, whereas 20 studies reported combinations of methylation markers. We observed substantial variation regarding the reporting of sample sizes and patient characteristics, statistical analyses, and methodology. The median (range) REMARK score for the studies was 10.7 points (4.5 to 17.5) out of a maximum of 20 possible points. The median REMARK score was lower in studies, which reported a p value below 0.05 versus those, which did not (p = 0.005). A borderline statistically significant association was observed between the reported p value of the survival analysis and the size of the study population (p = 0.051). Only 23 out of 123 markers (17%) were investigated in two or more study series. For 12 markers, and two multimarker panels, consistent results were reported in two or more study series. For four markers, the current LoE is level II, for all other markers, the LoE is lower. Conclusion This systematic review reflects that adequate reporting according to REMARK and validation of prognostic methylation markers is absent in the majority of CRC methylation marker studies. However, this systematic review provides a comprehensive overview of published prognostic methylation markers for CRC and highlights the most promising markers that have been published in the last two decades. Electronic supplementary material The online version of this article (10.1186/s13148-018-0461-8) contains supplementary material, which is available to authorized users.
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21
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Kandimalla R, Gao F, Matsuyama T, Ishikawa T, Uetake H, Takahashi N, Yamada Y, Becerra C, Kopetz S, Wang X, Goel A. Genome-wide Discovery and Identification of a Novel miRNA Signature for Recurrence Prediction in Stage II and III Colorectal Cancer. Clin Cancer Res 2018. [PMID: 29514841 DOI: 10.1158/1078-0432.ccr-17-3236] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Purpose: The current tumor-node-metastasis (TNM) staging system is inadequate at identifying patients with high-risk colorectal cancer. Using a systematic and comprehensive biomarker discovery and validation approach, we aimed to identify an miRNA recurrence classifier (MRC) that can improve upon the current TNM staging as well as is superior to currently offered molecular assays.Experimental Design: Three independent genome-wide miRNA expression profiling datasets were used for biomarker discovery (N = 158) and in silico validation (N = 109 and N = 40) to identify an miRNA signature for predicting tumor recurrence in patients with colorectal cancer. Subsequently, this signature was analytically trained and validated in retrospectively collected independent patient cohorts of fresh-frozen (N = 127, cohort 1) and formalin-fixed paraffin-embedded (FFPE; N = 165, cohort 2 and N = 139, cohort 3) specimens.Results: We identified an 8-miRNA signature that significantly predicted recurrence-free interval (RFI) in the discovery (P = 0.002) and two independent publicly available datasets (P = 0.00006 and P = 0.002). The RT-PCR-based validation in independent clinical cohorts revealed that MRC-derived high-risk patients succumb to significantly poor RFI in patients with stage II and III colorectal cancer [cohort 1: hazard ratio (HR), 3.44 (1.56-7.45), P = 0.001; cohort 2: HR, 6.15 (3.33-11.35), P = 0.001; and cohort 3: HR, 4.23 (2.26-7.92), P = 0.0003]. In multivariate analyses, MRC emerged as an independent predictor of tumor recurrence and achieved superior predictive accuracy over the currently available molecular assays. The RT-PCR-based MRC risk score = (-0.1218 × miR-744) + (-3.7142 × miR-429) + (-2.2051 × miR-362) + (3.0564 × miR-200b) + (2.4997 × miR-191) + (-0.0065 × miR-30c2) + (2.2224 × miR-30b) + (-1.1162 × miR-33a).Conclusions: This novel MRC is superior to currently used clinicopathologic features, as well as National Comprehensive Cancer Network (NCCN) criteria, and works regardless of adjuvant chemotherapy status in identifying patients with high-risk stage II and III colorectal cancer. This can be readily deployed in clinical practice with FFPE specimens for decision-making pending further model testing and validation. Clin Cancer Res; 24(16); 3867-77. ©2018 AACRSee related commentary by Rodriguez et al., p. 3787.
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Affiliation(s)
- Raju Kandimalla
- Center for Gastrointestinal Research, Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas
| | - Feng Gao
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China
| | - Takatoshi Matsuyama
- Center for Gastrointestinal Research, Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas.,Department of Specialized Surgery, Tokyo Medical and Dental University Graduate School of Medicine, Tokyo, Japan
| | - Toshiaki Ishikawa
- Department of Specialized Surgery, Tokyo Medical and Dental University Graduate School of Medicine, Tokyo, Japan
| | - Hiroyuki Uetake
- Department of Specialized Surgery, Tokyo Medical and Dental University Graduate School of Medicine, Tokyo, Japan
| | - Naoki Takahashi
- Department of Gastroenterology, National Cancer Center Hospital, Tokyo, Japan
| | - Yasuhide Yamada
- Department of Gastroenterology, National Cancer Center Hospital, Tokyo, Japan
| | - Carlos Becerra
- Texas Oncology, Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas
| | - Scott Kopetz
- Department of Gastrointestinal Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Xin Wang
- Department of Biomedical Sciences, City University of Hong Kong, Hong Kong, China.
| | - Ajay Goel
- Center for Gastrointestinal Research, Center for Translational Genomics and Oncology, Baylor Scott & White Research Institute and Charles A. Sammons Cancer Center, Baylor University Medical Center, Dallas, Texas.
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22
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Boeckx N, Janssens K, Van Camp G, Rasschaert M, Papadimitriou K, Peeters M, Op de Beeck K. The predictive value of primary tumor location in patients with metastatic colorectal cancer: A systematic review. Crit Rev Oncol Hematol 2017; 121:1-10. [PMID: 29279095 DOI: 10.1016/j.critrevonc.2017.11.003] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2017] [Revised: 09/22/2017] [Accepted: 11/06/2017] [Indexed: 02/07/2023] Open
Abstract
Colorectal cancer (CRC) is one of the most frequently diagnosed cancers worldwide. It has been reported that left- and right-sided CRC harbor varying disease characteristics, which leads to a difference in prognosis and response to therapy. Recently, there have been retrospective studies about tumor location in metastatic CRC (mCRC) and its potential to predict the effect of anti-vascular endothelial growth factor and anti-epidermal growth factor receptor (anti-EGFR) therapies. In this review, we provide a comprehensive overview of the latest trials studying the predictive value of primary tumor location in mCRC and discuss biomarkers that might be associated with the differences in treatment response. Although data need to be interpreted with caution due to the absence of randomized trials stratified based on tumor location, patients with left-sided CRC seem to benefit more from anti-EGFR therapy than patients with right-sided CRC. Further clinical trials, stratified for tumor location, are warranted.
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Affiliation(s)
- Nele Boeckx
- Center of Oncological Research (CORE), University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium; Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43/6, 2650 Edegem, Belgium.
| | - Katleen Janssens
- Center of Oncological Research (CORE), University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
| | - Guy Van Camp
- Center of Oncological Research (CORE), University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium; Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43/6, 2650 Edegem, Belgium.
| | - Marika Rasschaert
- Department of Oncology, Antwerp University Hospital, Wilrijkstraat 10, 2650 Edegem, Belgium.
| | | | - Marc Peeters
- Center of Oncological Research (CORE), University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium; Department of Oncology, Antwerp University Hospital, Wilrijkstraat 10, 2650 Edegem, Belgium.
| | - Ken Op de Beeck
- Center of Oncological Research (CORE), University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium; Center of Medical Genetics, University of Antwerp and Antwerp University Hospital, Prins Boudewijnlaan 43/6, 2650 Edegem, Belgium.
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23
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Karpinski P, Pesz K, Sasiadek MM. Pan-cancer analysis reveals presence of pronounced DNA methylation drift in CpG island methylator phenotype clusters. Epigenomics 2017; 9:1341-1352. [PMID: 28960094 DOI: 10.2217/epi-2017-0070] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
AIM To provide characteristics of major genomic correlates in CpG island methylator phenotype-high (CIMP-H) subgroups in relation to corresponding non-CIMP-H subgroups by use of phenotypic, DNA methylation and RNAseq data. MATERIALS & METHODS Twenty-three datasets generated by The Cancer Genome Atlas project encompassing over 7200 unique samples were analyzed. We identified 23 CIMP-H clusters by use of unsupervised clustering. RESULTS & CONCLUSION More than 90% of CIMP-H clusters were significantly associated with accelerated epigenetic mitotic clock, demethylation of enhancer sites, backbone and repetitive sequences. Pronounced epigenetic drift observed in majority of CIMP-H subgroups may be related to increased cell division rate, which leads to expansion of DNA methylation errors. This may explain pan-cancer mechanism of establishing CIMP-H in majority of tissue types.
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Affiliation(s)
- Pawel Karpinski
- Department of Genetics, Wroclaw Medical University, Wroclaw, Poland
| | - Karolina Pesz
- Department of Genetics, Wroclaw Medical University, Wroclaw, Poland
| | - Maria M Sasiadek
- Department of Genetics, Wroclaw Medical University, Wroclaw, Poland
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24
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Zong L, Wu A, Wang W, Deng J, Aikou S, Yamashita H, Maeda M, Abe M, Yu D, Jiang Z, Seto Y, Ji J. Feasibility of laparoscopic gastrectomy for elderly gastric cancer patients: meta-analysis of non-randomized controlled studies. Oncotarget 2017; 8:51878-51887. [PMID: 28881697 PMCID: PMC5584298 DOI: 10.18632/oncotarget.16691] [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: 09/06/2016] [Accepted: 03/12/2017] [Indexed: 12/18/2022] Open
Abstract
The aim of this meta-analysis was to determine the feasibility of laparoscopic gastrectomy (LG) for elderly gastric cancer patients by comparing laparoscopic and conventional open gastrectomies (OG). Comprehensive search of the PubMed, EMBASE, and Cochrane Library databases revealed nine non-randomized controlled studies that compared LG and OG in elderly gastric cancer patients We then analyzed dichotomous or continuous parameters using odds ratios (ORs) or weighted mean differences (WMDs). Overall survival was estimated using hazard ratios (HRs) with a fixed effects or random effects model. We observed that the age distribution was similar between the LG and OG patient groups (WMD -0.22 95% CI, -1.26-0.82). LG patients experienced less blood loss (WMD -119.14 95% CI, -204.17--34.11) and had shorter hospital stays (WMD -3.48 95% CI, -5.41--1.56), but endured longer operation times (WMD 10.87 95% CI, 2.50-19.24). Postoperatively, LG patients exhibited lower incidences of postoperative morbidities (OR 0.59 95% CI, 0.43-0.79), surgery related morbidities (OR 0.58 95% CI, 0.41-0.81) and systemic morbidities (OR 0.56 95% CI, 0.38-0.82). We observed no differences between the LG and OG patient groups regarding anastomotic leakage (OR 0.69 95% CI, 0.34-1.41), mental disease (OR 0.72 95% CI, 0.37-1.41) and long term effects (HR 0.98 95% CI, 0.74-1.32). We therefore conclude that laparoscopic gastrectomy might be technically feasible for elderly gastric cancer patients.
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Affiliation(s)
- Liang Zong
- Department of Gastrointestinal Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
- Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
- Department of Gastrointestinal Surgery, Su Bei People’s Hospital of Jiangsu Province, Yangzhou University, Yangzhou, China
| | - Aiwen Wu
- Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
| | - Wenyue Wang
- Department of Gastrointestinal Surgery, China-Japan Friendship Hospital, Beijing, China
| | - Jingyu Deng
- Department of Gastroenterology, Tianjin Medical University Cancer Hospital, City Key Laboratory of Tianjin Cancer Center and National Clinical Research Center for Cancer, Tianjin, China
| | - Susumu Aikou
- Department of Gastrointestinal Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Hiroharu Yamashita
- Department of Gastrointestinal Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masahiro Maeda
- Department of Gastrointestinal Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masanobu Abe
- Division for Health Service Promotion, University of Tokyo, Tokyo, Japan
| | - Duonan Yu
- Institute of Comparative Medicine, Yangzhou University, Yangzhou, China
| | - Zhiwei Jiang
- Research Institute of General Surgery, Jinling Hospital, Nanjing, China
| | - Yasuyuki Seto
- Department of Gastrointestinal Surgery, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Jiafu Ji
- Department of Gastrointestinal Surgery, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing, China
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25
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Kandimalla R, Linnekamp JF, van Hooff S, Castells A, Llor X, Andreu M, Jover R, Goel A, Medema JP. Methylation of WNT target genes AXIN2 and DKK1 as robust biomarkers for recurrence prediction in stage II colon cancer. Oncogenesis 2017; 6:e308. [PMID: 28368388 PMCID: PMC5520503 DOI: 10.1038/oncsis.2017.9] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2017] [Revised: 02/05/2017] [Accepted: 02/07/2017] [Indexed: 12/18/2022] Open
Abstract
Stage II colon cancer (CC) still remains a clinical challenge with patient stratification for adjuvant therapy (AT) largely relying on clinical parameters. Prognostic biomarkers are urgently needed for better stratification. Previously, we have shown that WNT target genes AXIN2, DKK1, APCDD1, ASCL2 and LGR5 are silenced by DNA methylation and could serve as prognostic markers in stage II CC patients using methylation-specific PCR. Here, we have extended our discovery cohort AMC90-AJCC-II (N=65) and methylation was analyzed by quantitative pyrosequencing. Subsequently, we validated the results in an independent EPICOLON1 CC cohort (N=79). Methylation of WNT target genes is negatively correlated to mRNA expression. A combination of AXIN2 and DKK1 methylation significantly predicted recurrences in univariate (area under the curve (AUC)=0.83, confidence interval (CI): 0.72–0.94, P<0.0001) analysis in stage II microsatellite stable (MSS) CC patients. This two marker combination showed an AUC of 0.80 (CI: 0.68–0.91, P<0.0001) in the EPICOLON1 validation cohort. Multivariate analysis in the Academic Medical Center (AMC) cohort revealed that both WNT target gene methylation and consensus molecular subtype 4 (CMS4) are significantly associated with poor recurrence-free survival (hazard ratio (HR)methylation: 3.84, 95% CI: 1.14–12.43; HRCMS4: 3.73, 95% CI: 1.22–11.48). CMS4 subtype tumors with WNT target methylation showed worse prognosis. Combining WNT target gene methylation and CMS4 subtype lead to an AUC of 0.89 (0.791–0.982, P<0.0001) for recurrence prediction. Notably, we observed that methylation of DKK1 is high in BRAF mutant and CIMP (CpG island methylator phenotype)-positive cancers, whereas AXIN2 methylation appears to be associated with CMS4. Methylation of AXIN2 and DKK1 were found to be robust markers for recurrence prediction in stage II MSS CC patients. Further validation of these findings in a randomized and prospective manner could pave a way to identify poor prognosis patients of stage II CC for AT.
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Affiliation(s)
- R Kandimalla
- Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental Molecular Medicine (CEMM), Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands.,Cancer Genomics Center, Amsterdam, The Netherlands.,Center for Gastrointestinal Research and Center for Epigenetics, Cancer Prevention and Cancer Genomics, Baylor Scott and White Research Institute and Charles A Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA
| | - J F Linnekamp
- Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental Molecular Medicine (CEMM), Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands.,Cancer Genomics Center, Amsterdam, The Netherlands
| | - S van Hooff
- Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental Molecular Medicine (CEMM), Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands.,Cancer Genomics Center, Amsterdam, The Netherlands
| | - A Castells
- Institut de Malaties Digestives i Metabòliques, CIBERehd, Hospital Clínic, Barcelona, Spain
| | - X Llor
- University of Yale, New Haven, CT, USA
| | - M Andreu
- Gastroenterology Department, Hospital del Mar, Barcelona, Spain
| | - R Jover
- Servicio de Medicina Digestiva, Hospital General Universitario de Alicante, Instituto de Investigación Sanitaria ISABIAL, Alicante, Spain
| | - A Goel
- Center for Gastrointestinal Research and Center for Epigenetics, Cancer Prevention and Cancer Genomics, Baylor Scott and White Research Institute and Charles A Sammons Cancer Center, Baylor University Medical Center, Dallas, TX, USA
| | - J P Medema
- Laboratory for Experimental Oncology and Radiobiology (LEXOR), Center for Experimental Molecular Medicine (CEMM), Academic Medical Center (AMC), University of Amsterdam, Amsterdam, The Netherlands.,Cancer Genomics Center, Amsterdam, The Netherlands
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26
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Mima K, Cao Y, Chan AT, Qian ZR, Nowak JA, Masugi Y, Shi Y, Song M, da Silva A, Gu M, Li W, Hamada T, Kosumi K, Hanyuda A, Liu L, Kostic AD, Giannakis M, Bullman S, Brennan CA, Milner DA, Baba H, Garraway LA, Meyerhardt JA, Garrett WS, Huttenhower C, Meyerson M, Giovannucci EL, Fuchs CS, Nishihara R, Ogino S. Fusobacterium nucleatum in Colorectal Carcinoma Tissue According to Tumor Location. Clin Transl Gastroenterol 2016; 7:e200. [PMID: 27811909 PMCID: PMC5543402 DOI: 10.1038/ctg.2016.53] [Citation(s) in RCA: 217] [Impact Index Per Article: 24.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/27/2016] [Accepted: 09/13/2016] [Indexed: 02/06/2023] Open
Abstract
Objectives: Evidence suggests a possible role of Fusobacterium nucleatum in colorectal carcinogenesis, especially in right-sided proximal colorectum. Considering a change in bowel contents and microbiome from proximal to distal colorectal segments, we hypothesized that the proportion of colorectal carcinoma enriched with F. nucleatum might gradually increase along the bowel subsites from rectum to cecum. Methods: A retrospective, cross-sectional analysis was conducted on 1,102 colon and rectal carcinomas in molecular pathological epidemiology databases of the Nurses’ Health Study and the Health Professionals Follow-up Study. We measured the amount of F. nucleatum DNA in colorectal tumor tissue using a quantitative PCR assay and equally dichotomized F. nucleatum-positive cases (high vs. low). We used multivariable logistic regression analysis to examine the relationship of a bowel subsite variable (rectum, rectosigmoid junction, sigmoid colon, descending colon, splenic flexure, transverse colon, hepatic flexure, ascending colon, and cecum) with the amount of F. nucleatum. Results: The proportion of F. nucleatum-high colorectal cancers gradually increased from rectal cancers (2.5% 4/157) to cecal cancers (11% 19/178), with a statistically significant linear trend along all subsites (P<0.0001) and little evidence of non-linearity. The proportion of F. nucleatum-low cancers was higher in rectal, ascending colon, and cecal cancers than in cancers of middle segments. Conclusions: The proportion of F. nucleatum-high colorectal cancers gradually increases from rectum to cecum. Our data support the colorectal continuum model that reflects pathogenic influences of the gut microbiota on neoplastic and immune cells and challenges the prevailing two-colon (proximal vs. distal) dichotomy paradigm.
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Affiliation(s)
- Kosuke Mima
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Yin Cao
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Zhi Rong Qian
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Jonathan A Nowak
- Division of MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Yohei Masugi
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Yan Shi
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Annacarolina da Silva
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Mancang Gu
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Wanwan Li
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Tsuyoshi Hamada
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Keisuke Kosumi
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Akiko Hanyuda
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Li Liu
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Aleksandar D Kostic
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.,Center for Computational and Integrative Biology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Marios Giannakis
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.,Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Susan Bullman
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA
| | - Caitlin A Brennan
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Danny A Milner
- Division of MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Hideo Baba
- Department of Gastroenterological Surgery, Graduate School of Medical Science, Kumamoto University, Kumamoto, Japan
| | - Levi A Garraway
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.,Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jeffrey A Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA
| | - Wendy S Garrett
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.,Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA.,Center for the Study of Inflammatory Bowel Disease, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Matthew Meyerson
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA.,Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, Massachusetts, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Charles S Fuchs
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Reiko Nishihara
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Shuji Ogino
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts, USA.,Division of MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
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27
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Bupathi M, Wu C. Biomarkers for immune therapy in colorectal cancer: mismatch-repair deficiency and others. J Gastrointest Oncol 2016; 7:713-720. [PMID: 27747085 DOI: 10.21037/jgo.2016.07.03] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Colorectal cancer (CRC) is a heterogeneous disease for which the treatment backbone has primarily been cytotoxic chemotherapy. With better understanding of the involved molecular mechanisms, it is now known that there are a number of epigenetic and genetic events, which are involved in CRC pathogenesis. Specific biomarkers have been identified which can be used to determine the clinical outcome of patients beyond tumor staging and predict for treatment efficacy. Molecular testing is now routinely performed to select for patients that will benefit the most from targeted agents and immunotherapy. In addition to KRAS, NRAS, and BRAF mutation (MT), analysis of DNA mismatch repair (MMR) status, tumor infiltrating lymphocytes, and checkpoint protein expression may be helpful to determine whether patients are eligible for certain therapies. The focus of this article is to discuss present and upcoming biomarkers for immunotherapy in CRC.
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Affiliation(s)
- Manojkumar Bupathi
- Division of Medical Oncology, The Ohio State University Wexner Medical Center, Richard Solove Research Institute and James Cancer Hospital, Columbus, Ohio, USA
| | - Christina Wu
- Division of Medical Oncology, The Ohio State University Wexner Medical Center, Richard Solove Research Institute and James Cancer Hospital, Columbus, Ohio, USA
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