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Zhao N, Lai C, Wang Y, Dai S, Gu H. Understanding the role of DNA methylation in colorectal cancer: Mechanisms, detection, and clinical significance. Biochim Biophys Acta Rev Cancer 2024; 1879:189096. [PMID: 38499079 DOI: 10.1016/j.bbcan.2024.189096] [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: 10/05/2023] [Revised: 02/18/2024] [Accepted: 03/13/2024] [Indexed: 03/20/2024]
Abstract
Colorectal cancer (CRC) is one of the deadliest malignancies worldwide, ranking third in incidence and second in mortality. Remarkably, early stage localized CRC has a 5-year survival rate of over 90%; in stark contrast, the corresponding 5-year survival rate for metastatic CRC (mCRC) is only 14%. Compounding this problem is the staggering lack of effective therapeutic strategies. Beyond genetic mutations, which have been identified as critical instigators of CRC initiation and progression, the importance of epigenetic modifications, particularly DNA methylation (DNAm), cannot be underestimated, given that DNAm can be used for diagnosis, treatment monitoring and prognostic evaluation. This review addresses the intricate mechanisms governing aberrant DNAm in CRC and its profound impact on critical oncogenic pathways. In addition, a comprehensive review of the various techniques used to detect DNAm alterations in CRC is provided, along with an exploration of the clinical utility of cancer-specific DNAm alterations.
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Affiliation(s)
- Ningning Zhao
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China
| | - Chuanxi Lai
- Division of Colorectal Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China
| | - Yunfei Wang
- Zhejiang ShengTing Biotech. Ltd, Hangzhou 310000, China
| | - Sheng Dai
- Division of Colorectal Surgery, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310016, China.
| | - Hongcang Gu
- Anhui Province Key Laboratory of Medical Physics and Technology, Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei 230031, China; Hefei Cancer Hospital, Chinese Academy of Sciences, Hefei 230031, China.
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2
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An SX, Yu ZJ, Fu C, Wei MJ, Shen LH. Biological factors driving colorectal cancer metastasis. World J Gastrointest Oncol 2024; 16:259-272. [PMID: 38425391 PMCID: PMC10900157 DOI: 10.4251/wjgo.v16.i2.259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Revised: 12/23/2023] [Accepted: 01/08/2024] [Indexed: 02/02/2024] Open
Abstract
Approximately 20% of colorectal cancer (CRC) patients present with metastasis at diagnosis. Among Stage I-III CRC patients who undergo surgical resection, 18% typically suffer from distal metastasis within the first three years following initial treatment. The median survival duration after the diagnosis of metastatic CRC (mCRC) is only 9 mo. mCRC is traditionally considered to be an advanced stage malignancy or is thought to be caused by incomplete resection of tumor tissue, allowing cancer cells to spread from primary to distant organs; however, increasing evidence suggests that the mCRC process can begin early in tumor development. CRC patients present with high heterogeneity and diverse cancer phenotypes that are classified on the basis of molecular and morphological alterations. Different genomic and nongenomic events can induce subclone diversity, which leads to cancer and metastasis. Throughout the course of mCRC, metastatic cascades are associated with invasive cancer cell migration through the circulatory system, extravasation, distal seeding, dormancy, and reactivation, with each step requiring specific molecular functions. However, cancer cells presenting neoantigens can be recognized and eliminated by the immune system. In this review, we explain the biological factors that drive CRC metastasis, namely, genomic instability, epigenetic instability, the metastatic cascade, the cancer-immunity cycle, and external lifestyle factors. Despite remarkable progress in CRC research, the role of molecular classification in therapeutic intervention remains unclear. This review shows the driving factors of mCRC which may help in identifying potential candidate biomarkers that can improve the diagnosis and early detection of mCRC cases.
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Affiliation(s)
- Shuai-Xing An
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
- BD Department, Greenpine Pharma Group Co., Ltd, Tianjin 300020, China
| | - Zhao-Jin Yu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
| | - Chen Fu
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
| | - Min-Jie Wei
- Department of Pharmacology, School of Pharmacy, China Medical University, Shenyang 110122, Liaoning Province, China
- Liaoning Key Laboratory of Molecular Targeted Antitumor Drug Development and Evaluation, Liaoning Cancer Immune Peptide Drug Engineering Technology Research Center, Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumors (China Medical University), Ministry of Education, Shenyang 110122, Liaoning Province, China
| | - Long-Hai Shen
- Center of Oncology, Genertec Liaoyou Gem Flower Hospital, PanJin 124010, Liaoning Province, China
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Yang G, Yu XR, Weisenberger DJ, Lu T, Liang G. A Multi-Omics Overview of Colorectal Cancer to Address Mechanisms of Disease, Metastasis, Patient Disparities and Outcomes. Cancers (Basel) 2023; 15:cancers15112934. [PMID: 37296894 DOI: 10.3390/cancers15112934] [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: 04/09/2023] [Revised: 05/16/2023] [Accepted: 05/23/2023] [Indexed: 06/12/2023] Open
Abstract
Human colorectal cancer (CRC) is one of the most common malignancies in men and women across the globe, albeit CRC incidence and mortality shows a substantial racial and ethnic disparity, with the highest burden in African American patients. Even with effective screening tools such as colonoscopy and diagnostic detection assays, CRC remains a substantial health burden. In addition, primary tumors located in the proximal (right) or distal (left) sides of the colorectum have been shown to be unique tumor types that require unique treatment schema. Distal metastases in the liver and other organ systems are the major causes of mortality in CRC patients. Characterizing genomic, epigenomic, transcriptomic and proteomic (multi-omics) alterations has led to a better understanding of primary tumor biology, resulting in targeted therapeutic advancements. In this regard, molecular-based CRC subgroups have been developed that show correlations with patient outcomes. Molecular characterization of CRC metastases has highlighted similarities and differences between metastases and primary tumors; however, our understanding as to how to improve patient outcomes based on metastasis biology is lagging and remains a major obstacle to improving CRC patient outcomes. In this review, we will summarize the multi-omics features of primary CRC tumors and their metastases across racial and ethnic groups, the differences in proximal and distal tumor biology, molecular-based CRC subgroups, treatment strategies and challenges for improving patient outcomes.
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Affiliation(s)
- Guang Yang
- School of Sciences, China Pharmaceutical University, Nanjing 211121, China
- China Grand Enterprises, Beijing 100101, China
| | - Xi Richard Yu
- China Grand Enterprises, Beijing 100101, China
- Huadong Medicine Co., Ltd., Hangzhou 310011, China
| | - Daniel J Weisenberger
- Department of Biochemistry and Molecular Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tao Lu
- School of Sciences, China Pharmaceutical University, Nanjing 211121, China
- State Key Laboratory of Natural Sciences, China Pharmaceutical University, Nanjing 211121, China
| | - Gangning Liang
- USC Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
- USC Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
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Circulating Tumor DNA Methylation Biomarkers for Characterization and Determination of the Cancer Origin in Malignant Liver Tumors. Cancers (Basel) 2023; 15:cancers15030859. [PMID: 36765815 PMCID: PMC9913861 DOI: 10.3390/cancers15030859] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/25/2023] [Accepted: 01/26/2023] [Indexed: 02/01/2023] Open
Abstract
Malignant liver tumors include primary malignant liver tumors and liver metastases. They are among the most common malignancies worldwide. The disease has a poor prognosis and poor overall survival, especially with liver metastases. Therefore, early detection and differentiation between malignant liver tumors are critical for patient treatment selection. The detection of cancer and the prediction of its origin is possible with a DNA methylation profile of the tumor DNA compared to that of normal cells, which reflects tissue differentiation and malignant transformation. New technologies enable the characterization of the tumor methylome in circulating tumor DNA (ctDNA), providing a variety of new ctDNA methylation biomarkers, which can provide additional information to clinical decision-making. Our review of the literature provides insight into methylation changes in ctDNA from patients with common malignant liver tumors and can serve as a starting point for further research.
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MGMT and Whole-Genome DNA Methylation Impacts on Diagnosis, Prognosis and Therapy of Glioblastoma Multiforme. Int J Mol Sci 2022; 23:ijms23137148. [PMID: 35806153 PMCID: PMC9266959 DOI: 10.3390/ijms23137148] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 06/21/2022] [Accepted: 06/23/2022] [Indexed: 12/15/2022] Open
Abstract
Epigenetic changes in DNA methylation contribute to the development of many diseases, including cancer. In glioblastoma multiforme, the most prevalent primary brain cancer and an incurable tumor with a median survival time of 15 months, a single epigenetic modification, the methylation of the O6-Methylguanine-DNA Methyltransferase (MGMT) gene, is a valid biomarker for predicting response to therapy with alkylating agents and also, independently, prognosis. More recently, the progress from single gene to whole-genome analysis of DNA methylation has allowed a better subclassification of glioblastomas. Here, we review the clinically relevant information that can be obtained by studying MGMT gene and whole-genome DNA methylation changes in glioblastomas, also highlighting benefits, including those of liquid biopsy, and pitfalls of the different detection methods. Finally, we discuss how changes in DNA methylation, especially in glioblastomas bearing mutations in the Isocitrate Dehydrogenase (IDH) 1 and 2 genes, can be exploited as targets for tailoring therapy.
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Cancer stem cell marker expression and methylation status in patients with colorectal cancer. Oncol Lett 2022; 24:231. [PMID: 35720495 PMCID: PMC9185140 DOI: 10.3892/ol.2022.13352] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 03/29/2022] [Indexed: 11/21/2022] Open
Abstract
The number of individuals diagnosed with colorectal cancer (CRC) has been on an alarming upward trajectory over the past decade. In some countries, this cancer represents one of the most frequently diagnosed types of neoplasia. Therefore, it is an important demand to study the pathology underlying this disease to gain insights into the mechanism of resistance to treatment. Resistance of tumors to chemotherapy and tumor aggressiveness have been associated with a minor population of neoplastic cells, which are considered to be responsible for tumor recurrence. These types of neoplastic cells are known as cancer stem cells, which have been previously reported to serve an important role in pathogenesis of this malignant disease. Slovakia has one of the highest incidence rates of CRC worldwide. In the present study, the aim was to classify the abundance of selected stem cell markers (CD133, CD166 and Lgr5) in CRC tumors using flow cytometry. In addition, the methylation status of selected genomic regions of CRC biomarkers (ADAMTS16, MGMT, PROM1 (CD133), LGR5 and ALCAM) was investigated by pyrosequencing in a cohort of patients from Martin University Hospital, Martin, Slovakia. Samples from both primary tumors and metastatic tumors were tested. Analysis of DNA methylation in the genomic regions of indicated five CRC biomarkers was also performed, which revealed the highest levels of methylation in the A disintegrin and metalloproteinase with thrombospondin motifs 16 and O6-methyguanine-DNA methyl transferase genes, whereas the lowest levels of methylation were found in genes expressing prominin-1, leucine-rich repeat-containing G-protein-coupled receptor 5 and activated leukocyte cell adhesion molecule. Furthermore, tumor tissues from metastases showed significantly higher levels of CD133+ cells compared with that in primary tumors. Higher levels of CD133+ cells correlated with TNM stage and the invasiveness of CRC into the lymphatic system. Although relatively small number of samples was processed, CD133 marker was consider to be important marker in pathology of CRC.
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Majumder S, Halfdanarson TR, Berger CK, Foote PH, Cao X, McGlinch MC, Gysbers BJ, de La Fuente J, Robran MJ, Doering KA, Burger KN, Bamlet WE, Oberg AL, Mahoney DW, Graham RP, Taylor WR, Petersen GM, Kisiel JB. Discovery and Validation of Methylated DNA Markers From Pancreatic Neuroendocrine Tumors. GASTRO HEP ADVANCES 2022; 1:409-416. [PMID: 39131680 PMCID: PMC11307501 DOI: 10.1016/j.gastha.2022.01.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/28/2021] [Accepted: 01/25/2022] [Indexed: 08/13/2024]
Abstract
Background and Aims Methylated DNA markers (MDMs) accurately identify several different cancer types, but there are limited data for pancreatic neuroendocrine tumors (pNETs). We aimed to identify MDM candidates in tissue that differentiate pNETs from normal pancreas. Methods wUsing DNA from frozen normal pancreas (13) and pNET (51) tissues, we performed reduced representation bisulfite sequencing for MDM discovery. Validation in independent formalin fixed paraffin embedded tissues used pNET cases (67; solid = 50, cystic = 17), normal pancreas (24), and buffy coat (36) controls. Primary pNET MDM distributions were compared with lung (36), small bowel (36) NETs, and metastatic pNET (25) tissues. The discrimination accuracy was summarized as the area under the receiver operator characteristic curve (AUC) with corresponding 95% confidence intervals (CIs). Fisher's linear discriminant analysis was performed to estimate a linear discriminate score (LDS) differentiating normal from pNET tissue and applied to all patient groups; discrimination accuracy of the LDS was summarized as the bootstrap cross-validated AUC. Results Median AUC for distinguishing normal pancreas from pNET tissue was 0.91 (interquartile range: 0.80-0.93). The cross-validated AUC for the LDS discriminating normal pancreatic tissue from primary and metastatic pNETs was 0.957 (95% CI 0.858-1.0, P < .0001) and 0.963 (95% CI 0.865-1.0, P < .0001), respectively. The LDS for the MDM panel was significantly higher for primary pNET, metastatic pNET, lung NET, and small bowel NET, each compared with normal pancreas tissue (P < .0001). There was no statistical difference between primary pNET and metastatic pNET (P = .1947). Conclusion In independent tissue validation, MDMs accurately discriminate pNETs from normal pancreas. These results provide scientific rationale for exploration of these tissue MDMs in a plasma-based assay for clinical application.
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Affiliation(s)
- Shounak Majumder
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | | | - Calise K. Berger
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Patrick H. Foote
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Xiaoming Cao
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Maria C. McGlinch
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Brianna J. Gysbers
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Jaime de La Fuente
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Mariah J. Robran
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Karen A. Doering
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
| | - Kelli N. Burger
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota
| | - William E. Bamlet
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota
| | - Ann L. Oberg
- Division of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | - Douglas W. Mahoney
- Division of Clinical Trials and Biostatistics, Mayo Clinic, Rochester, Minnesota
| | | | - William R. Taylor
- Division of Quantitative Health Sciences, Mayo Clinic, Rochester, Minnesota
| | | | - John B. Kisiel
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota
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Chen S, Liu T, Bu D, Zhu J, Wang X, Pan Y, Liu Y, Lu ZJ, Wang P. Methylome profiling identifies TCHH methylation in CfDNA as a noninvasive marker of liver metastasis in colorectal cancer. FASEB J 2021; 35:e21720. [PMID: 34110642 DOI: 10.1096/fj.202100266r] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 05/14/2021] [Accepted: 05/20/2021] [Indexed: 11/11/2022]
Abstract
Methylation of circulating free DNA (CfDNA) has emerged as an efficient marker of tumor screening and prognostics. However, no efficient methylation marker has been developed for monitoring liver metastasis (LM) in colorectal cancer (CRC). Utilizing methylome profiling and bisulfite sequencing polymerase chain reaction of paired primary and LM sites, significantly increased methylation of TCHH was identified in the process of LM in CRC in the present study. Methylight analysis of TCHH methylation in CfDNA displayed a promisingly discriminative power between CRC with and without LM. Besides, significant coefficient of TCHH methylation and LM tumor volume was also validated. Together, these results indicated the potential of TCHH methylation in CfDNA as a monitoring marker of LM in CRC.
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Affiliation(s)
- Shanwen Chen
- Division of General Surgery, Peking University First Hospital, Beijing, China
| | - Tao Liu
- Division of General Surgery, Peking University First Hospital, Beijing, China
| | - Dingfang Bu
- Central laboratory, Peking University First Hospital, Beijing, China
| | - Jing Zhu
- Division of General Surgery, Peking University First Hospital, Beijing, China
| | - Xin Wang
- Division of General Surgery, Peking University First Hospital, Beijing, China
| | - Yisheng Pan
- Division of General Surgery, Peking University First Hospital, Beijing, China
| | - Yucun Liu
- Division of General Surgery, Peking University First Hospital, Beijing, China
| | - Zhi John Lu
- MOE Key Laboratory of Bioinformatics, Center for Synthetic and Systems Biology, School of Life Sciences, Tsinghua University, Beijing, China
| | - Pengyuan Wang
- Division of General Surgery, Peking University First Hospital, Beijing, China
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Knight P, Gauthier MPL, Pardo CE, Darst RP, Kapadia K, Browder H, Morton E, Riva A, Kladde MP, Bacher R. Methylscaper: an R/shiny app for joint visualization of DNA methylation and nucleosome occupancy in single-molecule and single-cell data. Bioinformatics 2021; 37:4857-4859. [PMID: 34125875 PMCID: PMC8665741 DOI: 10.1093/bioinformatics/btab438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2020] [Revised: 04/19/2021] [Accepted: 06/11/2021] [Indexed: 11/13/2022] Open
Abstract
SUMMARY Differential DNA methylation and chromatin accessibility are associated with disease development, particularly cancer. Methods that allow profiling of these epigenetic mechanisms in the same reaction and at the single-molecule or single-cell level continue to emerge. However, a challenge lies in jointly visualizing and analyzing the heterogeneous nature of the data and extracting regulatory insight. Here, we present methylscaper, a visualization framework for simultaneous analysis of DNA methylation and chromatin accessibility landscapes. Methylscaper implements a weighted principal component analysis that orders DNA molecules, each providing a record of the chromatin state of one epiallele, and reveals patterns of nucleosome positioning, transcription factor occupancy, and DNA methylation. We demonstrate methylscaper's utility on a long-read, single-molecule methyltransferase accessibility protocol for individual templates (MAPit-BGS) dataset and a single-cell nucleosome, methylation, and transcription sequencing (scNMT-seq) dataset. In comparison to other procedures, methylscaper is able to readily identify chromatin features that are biologically relevant to transcriptional status while scaling to larger datasets. AVAILABILITY AND IMPLEMENTATION Methylscaper, is implemented in R (version > 4.1) and available on Bioconductor: https://bioconductor.org/packages/methylscaper/, GitHub: https://github.com/rhondabacher/methylscaper/, and Web: https://methylscaper.com. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
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Affiliation(s)
- Parker Knight
- Department of Biostatistics, University of Florida, Gainesville, FL
| | | | - Carolina E Pardo
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL
| | - Russell P Darst
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL
| | - Kevin Kapadia
- Department of Statistics, University of Florida, Gainesville, FL
| | - Hadley Browder
- Department of Statistics, University of Florida, Gainesville, FL
| | - Eliza Morton
- Department of Statistics, University of Florida, Gainesville, FL
| | - Alberto Riva
- Bioinformatics Core, Interdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, Florida
| | - Michael P Kladde
- Department of Biochemistry and Molecular Biology, University of Florida, Gainesville, FL
| | - Rhonda Bacher
- Department of Biostatistics, University of Florida, Gainesville, FL
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Wada Y, Morine Y, Imura S, Ikemoto T, Saito Y, Takasu C, Yamada S, Shimada M. HIF-1α expression in liver metastasis but not primary colorectal cancer is associated with prognosis of patients with colorectal liver metastasis. World J Surg Oncol 2020; 18:241. [PMID: 32895059 PMCID: PMC7487629 DOI: 10.1186/s12957-020-02012-5] [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] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 08/24/2020] [Indexed: 02/08/2023] Open
Abstract
Background The role of hypoxia-inducible factor-1α (HIF-1α) in primary colorectal cancer (CRC) and colorectal liver metastasis (CRLM) has remained unclear. The aim of this study was to investigate HIF-1α expression and its association with prognosis in patients with CRLM with a focus on hepatic stellate cells (HSCs). Methods Colon cancer cells were cultured in HSC-conditioned medium (CM), and HIF-1α expression and cell migration were analyzed. Seventy-five patients with CRLM who underwent an initial curative hepatectomy were enrolled. We examined HIF-1α expressions and patient prognosis between primary CRCs and the matched liver metastatic specimens. Results Activated HSCs induced HIF-1α mRNA and protein expression in colon cancer cells (p < 0.01) and promoted cell migration (p < 0.01). The positive rates of HIF-1α expression in primary CRCs and liver metastases were 68.0 and 72.0%, respectively. There were no differences in overall (OS) and disease-free survival (DFS) of HIF-1α expression in primary CRC. However, HIF-1α expression in liver metastasis correlated to poor prognosis in both OS and DFS. Furthermore, patients with HIF-1α positive expression in liver metastasis had poor prognosis. Conclusion HIF-1α expression in liver metastasis determines poor prognosis of CRLM patients. HSCs might play a key role in aggressive phenotypes of tumor cells.
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Affiliation(s)
- Yuma Wada
- Department of Surgery, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Yuji Morine
- Department of Surgery, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima, 770-8503, Japan.
| | - Satoru Imura
- Department of Surgery, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Tetsuya Ikemoto
- Department of Surgery, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Yu Saito
- Department of Surgery, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Chie Takasu
- Department of Surgery, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Shinichiro Yamada
- Department of Surgery, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima, 770-8503, Japan
| | - Mitsuo Shimada
- Department of Surgery, Institute of Health Biosciences, The University of Tokushima Graduate School, 3-18-15, Kuramoto-cho, Tokushima, 770-8503, Japan
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11
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Yang D, Holsten T, Börnigen D, Frank S, Mawrin C, Glatzel M, Schüller U. Ependymoma relapse goes along with a relatively stable epigenome, but a severely altered tumor morphology. Brain Pathol 2020; 31:33-44. [PMID: 32633004 PMCID: PMC8018105 DOI: 10.1111/bpa.12875] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2020] [Revised: 06/08/2020] [Accepted: 06/18/2020] [Indexed: 11/30/2022] Open
Abstract
The molecular biology of ependymomas is not well understood and this is particularly true for ependymoma relapses. We aimed at finding out if and to which extent, relapses differ from their corresponding primary tumors on the morphological, chromosomal and epigenetic level. We investigated 24 matched ependymoma primary and relapsed tumor samples and, as a first step, compared cell density, necrosis, vessel proliferation, Ki67 proliferative index, trimethylation at H3K27 and expression of CXorf67. For the investigation of global methylation profiles, we used public data in order to analyze copy number variation profiles, differential methylation, methylation status and fractions of hypo‐ and hypermethylated CpGs in different epigenomic substructures. Morphologically, we found a significant increase with relapse in cell density and proliferation. H3K27 trimethylation and CXorf67 expression remained stable between primary and relapse tumor samples, and the analysis of DNA methylation profiles neither revealed significant differences in copy number variations nor differentially methylated regions. Significant differences in the methylation status were found for CpG islands, but also in N Shelves or S Shelves, depending on the molecular subgroup. The fraction of probes changing their methylation in the epigenomic substructures appeared subgroup‐specific. Most changes occur in CpG islands, for which relapsed tumors demonstrate higher methylation values than primary tumors. The morphological differences reflect increased aggressiveness upon ependymoma relapse, but, despite slight changes, this observation does not appear to be sufficiently explained by epigenetic changes.
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Affiliation(s)
- Denise Yang
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Till Holsten
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Research Institute Children's Cancer Center Hamburg, Hamburg, Germany
| | - Daniela Börnigen
- Bioinformatics Core Unit, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Stephan Frank
- Division for Neuropathology, University Hospital Basel, Basel, Switzerland
| | - Christian Mawrin
- Institute for Neuropathology, University of Magdeburg, Magdeburg, Germany
| | - Markus Glatzel
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Ulrich Schüller
- Department of Pediatric Hematology and Oncology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Research Institute Children's Cancer Center Hamburg, Hamburg, Germany.,Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
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12
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Eggeling F, Hoffmann F. Microdissection—An Essential Prerequisite for Spatial Cancer Omics. Proteomics 2020; 20:e2000077. [DOI: 10.1002/pmic.202000077] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Revised: 06/12/2020] [Indexed: 12/12/2022]
Affiliation(s)
- Ferdinand Eggeling
- Department of OtorhinolaryngologyMALDI Imaging and Core Unit Proteome AnalysisDFG Core Unit Jena Biophotonic and Imaging Laboratory (JBIL)Jena University Hospital Am Klinikum 1 Jena 07747 Germany
| | - Franziska Hoffmann
- Department of OtorhinolaryngologyMALDI Imaging and Core Unit Proteome AnalysisDFG Core Unit Jena Biophotonic and Imaging Laboratory (JBIL)Jena University Hospital Am Klinikum 1 Jena 07747 Germany
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