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Kim H, Chu J, Do IG, Lee YP, Kim HK, Yang Y, Kwon J, Lee KH, Batochir C, Jo E, Kim KR, Han HS. Novel diagnostic biomarkers for pancreatic cancer: assessing methylation status with epigenetic-specific peptide nucleic acid and KRAS mutation in cell-free DNA. Front Oncol 2024; 14:1395473. [PMID: 39035743 PMCID: PMC11257850 DOI: 10.3389/fonc.2024.1395473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 06/07/2024] [Indexed: 07/23/2024] Open
Abstract
Purpose Pancreatic ductal adenocarcinoma (PDAC) is an aggressive tumor with a poor prognosis that poses challenges for diagnosis using traditional tissue-based techniques. DNA methylation alterations have emerged as potential and promising biomarkers for PDAC. In this study, we aimed to assess the diagnostic potential of a novel DNA methylation assay based on epigenetic-specific peptide nucleic acid (Epi-sPNA) in both tissue and plasma samples for detecting PDAC. Materials and methods The study involved 46 patients with PDAC who underwent surgical resection. Epi-TOP pancreatic assay was used to detect PDAC-specific epigenetic biomarkers. The Epi-sPNA allowed accurate and rapid methylation analysis without bisulfite sample processing. Genomic DNA extracted from paired normal pancreatic and PDAC tissues was used to assess the diagnostic efficacy of epigenetic biomarkers for PDAC. Subsequent validation was conducted on cell-free DNA (cfDNA) extracted from plasma samples, with 10 individuals represented in each group: PDAC, benign pancreatic cystic neoplasm, and healthy control. Results The combination of seven epigenetic biomarkers (HOXA9, TWIST, WT1, RPRM, BMP3, NPTX2, and BNC1) achieved 93.5% sensitivity and 96.7% specificity in discerning normal pancreatic from PDAC tissues. Plasma cfDNA, analyzed using these markers and KRAS mutations, exhibited a substantial 90.0% sensitivity, 95.0% specificity, and an overall 93.3% accuracy for discriminating PDAC. Notably, cancer antigen 19-9 and carcinoembryonic antigen both had an accuracy of 90.0%. Conclusion Our study suggests that analyzing seven differentially methylated genes with KRAS mutations in cfDNA using the novel Epi-TOP pancreatic assay is a potential blood-based biomarker for the diagnosis of PDAC.
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Affiliation(s)
- Hongsik Kim
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Jinah Chu
- Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - In-Gu Do
- Department of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Yong-Pyo Lee
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
| | - Hee Kyung Kim
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
| | - Yaewon Yang
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
| | - Jihyun Kwon
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
| | - Ki Hyeong Lee
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
| | | | - Eunji Jo
- Seasun Biomaterials, Daejeon, Republic of Korea
| | - Kyo Rim Kim
- Seasun Biomaterials, Daejeon, Republic of Korea
| | - Hye Sook Han
- Department of Internal Medicine, Chungbuk National University Hospital, Cheongju, Republic of Korea
- Department of Internal Medicine, Chungbuk National University Hospital, Chungbuk National University College of Medicine, Cheongju, Republic of Korea
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Bardol T, Dujon AM, Taly V, Dunyach-Remy C, Lavigne JP, Costa-Silva B, Kurma K, Eslami-S Z, Cayrefourcq L, Canivet C, Muscari F, Bournet B, Alix-Panabières C. Early detection of pancreatic cancer by liquid biopsy "PANLIPSY": a french nation-wide study project. BMC Cancer 2024; 24:709. [PMID: 38853244 PMCID: PMC11163786 DOI: 10.1186/s12885-024-12463-8] [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: 05/06/2024] [Accepted: 05/31/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND Pancreatic cancer, predominantly characterized by ductal adenocarcinoma (PDAC) accounts for 90% of cases and is the fourth leading cause of cancer-related deaths globally. Its incidence is notably increasing. This poor prognosis is primarily due to late-stage diagnosis (approximately 70% to 80% of patients are diagnosed at an advanced stage), aggressive tumor biology, and low sensitivity to chemotherapy. Consequently, it is crucial to identify and develop a simple, feasible and reproducible blood-based signature (i.e., combination of biomarkers) for early detection of PDAC. METHODS The PANLIPSY study is a multi-center, non-interventional prospective clinical trial designed to achieve early detection of PDAC with high specificity and sensitivity, using a combinatorial approach in blood samples. These samples are collected from patients with resectable, borderline or locally advanced, and metastatic stage PDAC within the framework of the French Biological and Clinical Database for PDAC cohort (BACAP 2). All partners of the BACAP consortium are eligible to participate. The study will include 215 PDAC patients, plus 25 patients with benign pancreatic conditions from the PAncreatic Disease Cohort of TOuLouse (PACTOL) cohort, and 115 healthy controls, totaling 355 individuals. Circulating biomarkers will be collected in a total volume of 50 mL of blood, divided into one CellSave tube (10 mL), two CELL-FREE DNA BCT® preservative tubes (18 mL), and five EDTA tubes (22 mL in total). Samples preparation will adhere to the guidelines of the European Liquid Biopsy Society (ELBS). A unique feature of the study is the AI-based comparison of these complementary liquid biopsy biomarkers. Main end-points: i) to define a liquid biopsy signature that includes the most relevant circulating biomarkers, ii) to validate the multi-marker panel in an independent cohort of healthy controls and patients, with resectable PDAC, and iii) to establish a unique liquid biopsy biobank for PDAC study. DISCUSSION The PANLIPSY study is a unique prospective non-interventional clinical trial that brings together liquid biopsy experts. The aim is to develop a biological signature for the early detection of PDAC based on AI-assisted detection of circulating biomarkers in blood samples (CTCs, ctDNA, EVs, circulating immune system, circulating cell-free nucleosomes, proteins, and microbiota). TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT06128343 / NCT05824403. Registration dates: June 8,2023 and April 21, 2023.
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Affiliation(s)
- Thomas Bardol
- Laboratory of Rare Circulating Human Cells - Liquid Biopsy Lab, Institut Universitaire de Recherche Clinique (IURC), University Medical Center of Montpellier, 641, Avenue du Doyen Gaston Giraud, Cedex 5 34093, Montpellier, France.
- CREEC/CANECEV MIVEGEC (CREES), University of Montpellier, CNRS, Montpellier, IRD, France.
- European Liquid Biopsy Society (ELBS), Hamburg, Germany.
| | - Antoine M Dujon
- CREEC/CANECEV MIVEGEC (CREES), University of Montpellier, CNRS, Montpellier, IRD, France
- School of Life and Environmental Sciences, Deakin University, Waurn Ponds, Victoria, Australia
| | - Valerie Taly
- Équipe Labélisée Ligue Nationale Contre Le Cancer, Centre de Recherche Des Cordeliers, Université Paris Cité, UMR-S1138, CNRS SNC5096, Paris, France
- METHYS Dx, 67 Rue Saint-Jacques, Paris, France
| | - Catherine Dunyach-Remy
- Department of Microbiology and Hospital Hygiene Bacterial Virulence and Chronic Infections, University of Montpellier CHU Nîmes, INSERM U1047, Nîmes, France
| | - Jean-Philippe Lavigne
- Department of Microbiology and Hospital Hygiene Bacterial Virulence and Chronic Infections, University of Montpellier CHU Nîmes, INSERM U1047, Nîmes, France
| | - Bruno Costa-Silva
- Champalimaud Physiology and Cancer Programme, Champalimaud Foundation, 1400-038, Lisbon, Portugal
| | - Keerthi Kurma
- Laboratory of Rare Circulating Human Cells - Liquid Biopsy Lab, Institut Universitaire de Recherche Clinique (IURC), University Medical Center of Montpellier, 641, Avenue du Doyen Gaston Giraud, Cedex 5 34093, Montpellier, France
- CREEC/CANECEV MIVEGEC (CREES), University of Montpellier, CNRS, Montpellier, IRD, France
- European Liquid Biopsy Society (ELBS), Hamburg, Germany
| | - Zahra Eslami-S
- Laboratory of Rare Circulating Human Cells - Liquid Biopsy Lab, Institut Universitaire de Recherche Clinique (IURC), University Medical Center of Montpellier, 641, Avenue du Doyen Gaston Giraud, Cedex 5 34093, Montpellier, France
- CREEC/CANECEV MIVEGEC (CREES), University of Montpellier, CNRS, Montpellier, IRD, France
- European Liquid Biopsy Society (ELBS), Hamburg, Germany
| | - Laure Cayrefourcq
- Laboratory of Rare Circulating Human Cells - Liquid Biopsy Lab, Institut Universitaire de Recherche Clinique (IURC), University Medical Center of Montpellier, 641, Avenue du Doyen Gaston Giraud, Cedex 5 34093, Montpellier, France
- CREEC/CANECEV MIVEGEC (CREES), University of Montpellier, CNRS, Montpellier, IRD, France
- European Liquid Biopsy Society (ELBS), Hamburg, Germany
| | - Cindy Canivet
- Department of Gastroenterology and Pancreatology, CHU - Rangueil and the University of Toulouse, 1 Avenue Jean Poulhès, Cedex 9 50032, 31059, Toulouse, TSA, France
| | - Fabrice Muscari
- Digestive Surgery and Liver Transplantation Department, Toulouse University Hospital, Toulouse, France
| | - Barbara Bournet
- Department of Gastroenterology and Pancreatology, CHU - Rangueil and the University of Toulouse, 1 Avenue Jean Poulhès, Cedex 9 50032, 31059, Toulouse, TSA, France
| | - Catherine Alix-Panabières
- Laboratory of Rare Circulating Human Cells - Liquid Biopsy Lab, Institut Universitaire de Recherche Clinique (IURC), University Medical Center of Montpellier, 641, Avenue du Doyen Gaston Giraud, Cedex 5 34093, Montpellier, France.
- CREEC/CANECEV MIVEGEC (CREES), University of Montpellier, CNRS, Montpellier, IRD, France.
- European Liquid Biopsy Society (ELBS), Hamburg, Germany.
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Shi X, Guo S, Duan Q, Zhang W, Gao S, Jing W, Jiang G, Kong X, Li P, Li Y, Teng C, Xu X, Chen S, Nian B, Li Z, Zhong C, Yang X, Zhu G, Du Y, Zhang D, Jin G. Detection and characterization of pancreatic and biliary tract cancers using cell-free DNA fragmentomics. J Exp Clin Cancer Res 2024; 43:145. [PMID: 38750539 PMCID: PMC11094938 DOI: 10.1186/s13046-024-03067-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 05/08/2024] [Indexed: 05/19/2024] Open
Abstract
BACKGROUND Plasma cell-free DNA (cfDNA) fragmentomics has demonstrated significant differentiation power between cancer patients and healthy individuals, but little is known in pancreatic and biliary tract cancers. The aim of this study is to characterize the cfDNA fragmentomics in biliopancreatic cancers and develop an accurate method for cancer detection. METHODS One hundred forty-seven patients with biliopancreatic cancers and 71 non-cancer volunteers were enrolled, including 55 patients with cholangiocarcinoma, 30 with gallbladder cancer, and 62 with pancreatic cancer. Low-coverage whole-genome sequencing (median coverage: 2.9 ×) was performed on plasma cfDNA. Three cfDNA fragmentomic features, including fragment size, end motif and nucleosome footprint, were subjected to construct a stacked machine learning model for cancer detection. Integration of carbohydrate antigen 19-9 (CA19-9) was explored to improve model performance. RESULTS The stacked model presented robust performance for cancer detection (area under curve (AUC) of 0.978 in the training cohort, and AUC of 0.941 in the validation cohort), and remained consistent even when using extremely low-coverage sequencing depth of 0.5 × (AUC: 0.905). Besides, our method could also help differentiate biliopancreatic cancer subtypes. By integrating the stacked model and CA19-9 to generate the final detection model, a high accuracy in distinguishing biliopancreatic cancers from non-cancer samples with an AUC of 0.995 was achieved. CONCLUSIONS Our model demonstrated ultrasensitivity of plasma cfDNA fragementomics in detecting biliopancreatic cancers, fulfilling the unmet accuracy of widely-used serum biomarker CA19-9, and provided an affordable way for accurate noninvasive biliopancreatic cancer screening in clinical practice.
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Affiliation(s)
- Xiaohan Shi
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Shiwei Guo
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Qiaonan Duan
- Department of Clinical and Translational Medicine, 3D Medicines Inc, 158 Xin Junhuan Road, Pujiang Hi-Tech Park, Shanghai, 201114, China
| | - Wei Zhang
- Department of Clinical and Translational Medicine, 3D Medicines Inc, 158 Xin Junhuan Road, Pujiang Hi-Tech Park, Shanghai, 201114, China
| | - Suizhi Gao
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Wei Jing
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Guojuan Jiang
- Department of Clinical and Translational Medicine, 3D Medicines Inc, 158 Xin Junhuan Road, Pujiang Hi-Tech Park, Shanghai, 201114, China
| | - Xiangyu Kong
- Department of Gastroenterology, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Penghao Li
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Yikai Li
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Chuanqi Teng
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Xiaoya Xu
- Department of Clinical and Translational Medicine, 3D Medicines Inc, 158 Xin Junhuan Road, Pujiang Hi-Tech Park, Shanghai, 201114, China
| | - Sheng Chen
- Department of Clinical and Translational Medicine, 3D Medicines Inc, 158 Xin Junhuan Road, Pujiang Hi-Tech Park, Shanghai, 201114, China
| | - Baoning Nian
- Department of Clinical and Translational Medicine, 3D Medicines Inc, 158 Xin Junhuan Road, Pujiang Hi-Tech Park, Shanghai, 201114, China
| | - Zhikuan Li
- Department of Clinical and Translational Medicine, 3D Medicines Inc, 158 Xin Junhuan Road, Pujiang Hi-Tech Park, Shanghai, 201114, China
| | - Chaoliang Zhong
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Xiaolu Yang
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China
| | - Guangyu Zhu
- Department of Interventional Radiology and Vascular Surgery, Zhongda Hospital, Southeast University, 87 Dingjiaqiao Road, Nanjing, Jiangsu Province, 210009, China.
| | - Yiqi Du
- Department of Gastroenterology, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China.
| | - Dadong Zhang
- Department of Clinical and Translational Medicine, 3D Medicines Inc, 158 Xin Junhuan Road, Pujiang Hi-Tech Park, Shanghai, 201114, China.
| | - Gang Jin
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital, Navy Military Medical University, 168 Changhai Road, Shanghai, 200433, China.
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Zhao G, Jiang R, Shi Y, Gao S, Wang D, Li Z, Zhou Y, Sun J, Wu W, Peng J, Kuang T, Rong Y, Yuan J, Zhu S, Jin G, Wang Y, Lou W. Circulating cell-free DNA methylation-based multi-omics analysis allows early diagnosis of pancreatic ductal adenocarcinoma. Mol Oncol 2024. [PMID: 38561976 DOI: 10.1002/1878-0261.13643] [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: 08/05/2023] [Revised: 02/29/2024] [Accepted: 03/15/2024] [Indexed: 04/04/2024] Open
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with a 5-year survival rate of 7.2% in China. However, effective approaches for diagnosis of PDAC are limited. Tumor-originating genomic and epigenomic aberration in circulating free DNA (cfDNA) have potential as liquid biopsy biomarkers for cancer diagnosis. Our study aims to assess the feasibility of cfDNA-based liquid biopsy assay for PDAC diagnosis. In this study, we performed parallel genomic and epigenomic profiling of plasma cfDNA from Chinese PDAC patients and healthy individuals. Diagnostic models were built to distinguish PDAC patients from healthy individuals. Cancer-specific changes in cfDNA methylation landscape were identified, and a diagnostic model based on six methylation markers achieved high sensitivity (88.7% for overall cases and 78.0% for stage I patients) and specificity (96.8%), outperforming the mutation-based model significantly. Moreover, the combination of the methylation-based model with carbohydrate antigen 19-9 (CA19-9) levels further improved the performance (sensitivity: 95.7% for overall cases and 95.5% for stage I patients; specificity: 93.3%). In conclusion, our findings suggest that both methylation-based and integrated liquid biopsy assays hold promise as non-invasive tools for detection of PDAC.
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Affiliation(s)
- Guochao Zhao
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | | | - Ying Shi
- Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China
| | - Suizhi Gao
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital Affiliated to Navy Medical University, Shanghai, China
| | - Dansong Wang
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Zhilong Li
- Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China
| | - Yuhong Zhou
- Department of Medical Oncology, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jianlong Sun
- Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China
| | - Wenchuan Wu
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jiaxi Peng
- Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China
| | - Tiantao Kuang
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Yefei Rong
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Jie Yuan
- The Fifth Affiliated Hospital of Southern Medical University, Guangzhou, China
| | - Shida Zhu
- BGI Genomics, BGI-Shenzhen, China
- Shenzhen Engineering Laboratory for Innovative Molecular Diagnostics, BGI-Shenzhen, China
| | - Gang Jin
- Department of Hepatobiliary Pancreatic Surgery, Changhai Hospital Affiliated to Navy Medical University, Shanghai, China
| | - Yuying Wang
- Envelope Health Biotechnology Co. Ltd., BGI-Shenzhen, China
| | - Wenhui Lou
- Department of Pancreatic Surgery, Cancer Center, Zhongshan Hospital, Fudan University, Shanghai, China
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Levy S, Bergamaschi A. Reply. Clin Gastroenterol Hepatol 2024; 22:673-674. [PMID: 37863405 DOI: 10.1016/j.cgh.2023.09.038] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 10/22/2023]
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Xin W, Tu S, Yi S, Xiong Y, Fang K, Sun G, Xiao W. Clinical significance of tumor suppressor genes methylation in circulating tumor DNA of patients with pancreatic cancer. Gene 2024; 897:148078. [PMID: 38097094 DOI: 10.1016/j.gene.2023.148078] [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: 09/03/2023] [Revised: 11/14/2023] [Accepted: 12/11/2023] [Indexed: 12/17/2023]
Abstract
BACKGROUND Circulating tumor DNA (ctDNA) has emerged as a potential diagnostic and prognostic biomarker in various tumors. However, the role of tumor suppressor genes (TSGs) methylation in ctDNA of patients with pancreatic cancer (PC) remains largely unclear. METHODS Patients with PC (n = 43), pancreatic benign diseases (n = 39), and healthy controls (n = 20) were enrolled in the study. Quantitative analysis of methylation pattern of five candidate TSGs including NPTX2, RASSF1A, EYA2, p16, and ppENK in ctDNA was performed by next generation sequencing (NGS). The diagnostic performances of these 5-TSGs methylation were assessed by the operating characteristic (ROC) curve and clinicopathological features correlation analysis. Meanwhile, the changes in methylation levels of these 5-TSGs on the 7th postoperative day were evaluated in 23 PC patients who underwent radical resection. RESULTS The methylation levels of RASSF1A, EYA2, ppENK and p16 genes in patients with PC were significantly higher than those in healthy controls. EYA2, p16 and ppENK genes showed significantly hypermethylation in PC than those in pancreatic benign diseases. NPTX2, RASSF1A, EYA2, p16 and ppENK genes showed significantly hypermethylation in pancreatic benign diseases than those in healthy controls (P < 0.05). The methylation levels of these 5 candidate TSGs were not correlated with the tumor size, nerve invasion, lymph node metastasis and TNM stage of PC. The AUC of these biomarkers for diagnosis of PC ranged from 0.65 to 0.96. The AUC values of these methylated genes and CpG sites for differentiating malignant and benign pancreatic diseases were ranging from 0.68 to 0.92. Combined the hypermethylated genes improved the detective ability of PC than single gene. The methylation levels of NPTX2, EYA2 and ppENK genes were significantly decreased after radical resection of PC. CONCLUSION Quantitative analysis of methylation pattern of NPTX2, RASSF1A, EYA2, p16 and ppENK in ctDNA by NGS could be a valuable non-invasive tool for detection and monitoring of PC.
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Affiliation(s)
- WanPeng Xin
- Department of General Surgery, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China
| | - Shuju Tu
- Department of General Surgery, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China
| | - Siqing Yi
- Department of General Surgery, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China
| | - Yuanpeng Xiong
- Department of General Surgery, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China
| | - Kang Fang
- Department of General Surgery, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China
| | - Gen Sun
- Department of General Surgery, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China
| | - Weidong Xiao
- Department of General Surgery, The First Affiliated Hospital, Nanchang University, Nanchang, Jiangxi, China; Institute of Digestive Surgery, Nanchang University, Nanchang, Jiangxi, China.
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Xu R, Wang C, Zhao Y. Early Detection of Pancreatic Cancer: Considerable Advances, but Still a Long Way to Go. Clin Gastroenterol Hepatol 2024; 22:672-673. [PMID: 37683881 DOI: 10.1016/j.cgh.2023.08.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 08/02/2023] [Accepted: 08/04/2023] [Indexed: 09/10/2023]
Affiliation(s)
- Ruiyuan Xu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, PR China; Key Laboratory of Research in Pancreatic Tumor, Chinese Academy of Medical Sciences, Beijing, PR China; National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Beijing, PR China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, PR China
| | - Chengcheng Wang
- Key Laboratory of Research in Pancreatic Tumor, Chinese Academy of Medical Sciences, Beijing, PR China; National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Beijing, PR China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, PR China; Medical Science Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, PR China
| | - Yupei Zhao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, PR China; Key Laboratory of Research in Pancreatic Tumor, Chinese Academy of Medical Sciences, Beijing, PR China; National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital, Beijing, PR China; State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, PR China
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Ramírez-Maldonado E, López Gordo S, Major Branco RP, Pavel MC, Estalella L, Llàcer-Millán E, Guerrero MA, López-Gordo E, Memba R, Jorba R. Clinical Application of Liquid Biopsy in Pancreatic Cancer: A Narrative Review. Int J Mol Sci 2024; 25:1640. [PMID: 38338919 PMCID: PMC10855073 DOI: 10.3390/ijms25031640] [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: 12/07/2023] [Revised: 01/21/2024] [Accepted: 01/24/2024] [Indexed: 02/12/2024] Open
Abstract
Pancreatic ductal adenocarcinoma contributes significantly to global cancer-related deaths, featuring only a 10% survival rate over five years. The quest for novel tumor markers is critical to facilitate early diagnosis and tailor treatment strategies for this disease, which is key to improving patient outcomes. In pancreatic ductal adenocarcinoma, these markers have been demonstrated to play a crucial role in early identification, continuous monitoring, and prediction of its prognosis and have led to better patient outcomes. Nowadays, biopsy specimens serve to ascertain diagnosis and determine tumor type. However, liquid biopsies present distinct advantages over conventional biopsy techniques. They offer a noninvasive, easily administered procedure, delivering insights into the tumor's status and facilitating real-time monitoring. Liquid biopsies encompass a variety of elements, such as circulating tumor cells, circulating tumor DNA, extracellular vesicles, microRNAs, circulating RNA, tumor platelets, and tumor endothelial cells. This review aims to provide an overview of the clinical applications of liquid biopsy as a technique in the management of pancreatic cancer.
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Affiliation(s)
- Elena Ramírez-Maldonado
- HBP Unit, General Surgery Department, Joan XXIII University Hospital, 43005 Tarragona, Spain; (M.-C.P.); (L.E.); (M.A.G.); (R.M.); (R.J.)
- Medicine and Surgery Department, Rovira i Virgili University, 43204 Reus, Spain
| | - Sandra López Gordo
- General Surgery Department, Maresme Health Consortium, 08304 Mataro, Spain;
| | | | - Mihai-Calin Pavel
- HBP Unit, General Surgery Department, Joan XXIII University Hospital, 43005 Tarragona, Spain; (M.-C.P.); (L.E.); (M.A.G.); (R.M.); (R.J.)
- Medicine and Surgery Department, Rovira i Virgili University, 43204 Reus, Spain
| | - Laia Estalella
- HBP Unit, General Surgery Department, Joan XXIII University Hospital, 43005 Tarragona, Spain; (M.-C.P.); (L.E.); (M.A.G.); (R.M.); (R.J.)
- Medicine and Surgery Department, Rovira i Virgili University, 43204 Reus, Spain
| | - Erik Llàcer-Millán
- HBP Unit, General Surgery Department, Joan XXIII University Hospital, 43005 Tarragona, Spain; (M.-C.P.); (L.E.); (M.A.G.); (R.M.); (R.J.)
- Medicine and Surgery Department, Rovira i Virgili University, 43204 Reus, Spain
| | - María Alejandra Guerrero
- HBP Unit, General Surgery Department, Joan XXIII University Hospital, 43005 Tarragona, Spain; (M.-C.P.); (L.E.); (M.A.G.); (R.M.); (R.J.)
- Medicine and Surgery Department, Rovira i Virgili University, 43204 Reus, Spain
| | | | - Robert Memba
- HBP Unit, General Surgery Department, Joan XXIII University Hospital, 43005 Tarragona, Spain; (M.-C.P.); (L.E.); (M.A.G.); (R.M.); (R.J.)
- Medicine and Surgery Department, Rovira i Virgili University, 43204 Reus, Spain
| | - Rosa Jorba
- HBP Unit, General Surgery Department, Joan XXIII University Hospital, 43005 Tarragona, Spain; (M.-C.P.); (L.E.); (M.A.G.); (R.M.); (R.J.)
- Medicine and Surgery Department, Rovira i Virgili University, 43204 Reus, Spain
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9
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Geissler F, Nesic K, Kondrashova O, Dobrovic A, Swisher EM, Scott CL, J. Wakefield M. The role of aberrant DNA methylation in cancer initiation and clinical impacts. Ther Adv Med Oncol 2024; 16:17588359231220511. [PMID: 38293277 PMCID: PMC10826407 DOI: 10.1177/17588359231220511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/21/2023] [Indexed: 02/01/2024] Open
Abstract
Epigenetic alterations, including aberrant DNA methylation, are now recognized as bone fide hallmarks of cancer, which can contribute to cancer initiation, progression, therapy responses and therapy resistance. Methylation of gene promoters can have a range of impacts on cancer risk, clinical stratification and therapeutic outcomes. We provide several important examples of genes, which can be silenced or activated by promoter methylation and highlight their clinical implications. These include the mismatch DNA repair genes MLH1 and MSH2, homologous recombination DNA repair genes BRCA1 and RAD51C, the TERT oncogene and genes within the P15/P16/RB1/E2F tumour suppressor axis. We also discuss how these methylation changes might occur in the first place - whether in the context of the CpG island methylator phenotype or constitutional DNA methylation. The choice of assay used to measure methylation can have a significant impact on interpretation of methylation states, and some examples where this can influence clinical decision-making are presented. Aberrant DNA methylation patterns in circulating tumour DNA (ctDNA) are also showing great promise in the context of non-invasive cancer detection and monitoring using liquid biopsies; however, caution must be taken in interpreting these results in cases where constitutional methylation may be present. Thus, this review aims to provide researchers and clinicians with a comprehensive summary of this broad, but important subject, illustrating the potentials and pitfalls of assessing aberrant DNA methylation in cancer.
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Affiliation(s)
- Franziska Geissler
- Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
| | - Ksenija Nesic
- Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
| | - Olga Kondrashova
- QIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia
| | - Alexander Dobrovic
- University of Melbourne Department of Surgery, Austin Health, Heidelberg, VIC, Australia
| | | | - Clare L. Scott
- Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
- Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, Australia
- Peter MacCallum Cancer Centre and Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
- Royal Women’s Hospital, Parkville, VIC, Australia
- Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Matthew J. Wakefield
- Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, VIC 3052Department of Obstetrics and Gynaecology, University of Melbourne, Parkville, VIC, Australia
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10
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Feng Y, Zhang Z, Hong Y, Ding Y, Liu L, Gao S, Fang H, Shi J. A DNA methylation haplotype block landscape in human tissues and preimplantation embryos reveals regulatory elements defined by comethylation patterns. Genome Res 2023; 33:2041-2052. [PMID: 37940553 PMCID: PMC10760529 DOI: 10.1101/gr.278146.123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Accepted: 11/03/2023] [Indexed: 11/10/2023]
Abstract
DNA methylation and associated regulatory elements play a crucial role in gene expression regulation. Previous studies have focused primarily on the distribution of mean methylation levels. Advances in whole-genome bisulfite sequencing (WGBS) have enabled the characterization of DNA methylation haplotypes (MHAPs), representing CpG sites from the same read fragment on a single chromosome, and the subsequent identification of methylation haplotype blocks (MHBs), in which adjacent CpGs on the same fragment are comethylated. Using our expert-curated WGBS data sets, we report comprehensive landscapes of MHBs in 17 representative normal somatic human tissues and during early human embryonic development. Integrative analysis reveals MHBs as a distinctive type of regulatory element characterized by comethylation patterns rather than mean methylation levels. We show the enrichment of MHBs in open chromatin regions, tissue-specific histone marks, and enhancers, including super-enhancers. Moreover, we find that MHBs tend to localize near tissue-specific genes and show an association with differential gene expression that is independent of mean methylation. Similar findings are observed in the context of human embryonic development, highlighting the dynamic nature of MHBs during early development. Collectively, our comprehensive MHB landscapes provide valuable insights into the tissue specificity and developmental dynamics of DNA methylation.
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Affiliation(s)
- Yan Feng
- Key Laboratory of RNA Science and Engineering, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Zhiqiang Zhang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
- School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200030, China
| | - Yuyang Hong
- Key Laboratory of RNA Science and Engineering, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Yi Ding
- Key Laboratory of RNA Science and Engineering, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Leiqin Liu
- Key Laboratory of RNA Science and Engineering, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Siqi Gao
- Key Laboratory of RNA Science and Engineering, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China
| | - Hai Fang
- Shanghai Institute of Hematology, State Key Laboratory of Medical Genomics, National Research Center for Translational Medicine at Shanghai, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
| | - Jiantao Shi
- Key Laboratory of RNA Science and Engineering, Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai 200031, China;
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11
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Hu Q, Chen L, Li K, Liu R, Sun L, Han T. Circulating tumor DNA: current implementation issues and future challenges for clinical utility. Clin Chem Lab Med 2023; 0:cclm-2023-1157. [PMID: 38109307 DOI: 10.1515/cclm-2023-1157] [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: 10/16/2023] [Accepted: 12/06/2023] [Indexed: 12/20/2023]
Abstract
Over the past decades, liquid biopsy, especially circulating tumor DNA (ctDNA), has received tremendous attention as a noninvasive detection approach for clinical applications, including early diagnosis of cancer and relapse, real-time therapeutic efficacy monitoring, potential target selection and investigation of drug resistance mechanisms. In recent years, the application of next-generation sequencing technology combined with AI technology has significantly improved the accuracy and sensitivity of liquid biopsy, enhancing its potential in solid tumors. However, the increasing integration of such promising tests to improve therapy decision making by oncologists still has complexities and challenges. Here, we propose a conceptual framework of ctDNA technologies and clinical utilities based on bibliometrics and highlight current challenges and future directions, especially in clinical applications such as early detection, minimal residual disease detection, targeted therapy, and immunotherapy. We also discuss the necessities of developing a dynamic field of translational cancer research and rigorous clinical studies that may support therapeutic strategy decision making in the near future.
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Affiliation(s)
- Qilin Hu
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, P.R. China
| | - Lujun Chen
- The General Hospital of Northern Theater Command Training Base for Graduate, China Medical University, Shenyang, P.R. China
| | - Kerui Li
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, P.R. China
| | - Ruotong Liu
- Clinical Medicine, Shenyang Medical College, Shenyang, P.R. China
| | - Lei Sun
- Department of Thoracic Surgery, The First Hospital of China Medical University, Shenyang, P.R. China
| | - Tao Han
- Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, P.R. China
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12
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Bartemes KR, Gochanour BR, Routman DM, Ma DJ, Doering KA, Burger KN, Foote PH, Taylor WR, Mahoney DW, Berger CK, Cao X, Then SS, Haller TJ, Larish AM, Moore EJ, Garcia JJ, Graham RP, Bakkum-Gamez JN, Kisiel JB, Van Abel KM. Assessing the capacity of methylated DNA markers of cervical squamous cell carcinoma to discriminate oropharyngeal squamous cell carcinoma in human papillomavirus mediated disease. Oral Oncol 2023; 146:106568. [PMID: 37717549 PMCID: PMC10591712 DOI: 10.1016/j.oraloncology.2023.106568] [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: 06/02/2023] [Revised: 08/11/2023] [Accepted: 09/06/2023] [Indexed: 09/19/2023]
Abstract
OBJECTIVE Early identification of human papillomavirus associated oropharyngeal squamous cell carcinoma (HPV(+)OPSCC) is challenging and novel biomarkers are needed. We hypothesized that a panel of methylated DNA markers (MDMs) found in HPV(+) cervical squamous cell carcinoma (CSCC) will have similar discrimination in HPV(+)OPSCC tissues. MATERIALS AND METHODS Formalin-fixed, paraffin-embedded tissues were obtained from patients with primary HPV(+)OPSCC or HPV(+)CSCC; control tissues included normal oropharynx palatine tonsil (NOP) and cervix (NCS). Using a methylation-specific polymerase chain reaction, 21 previously validated cervical MDMs were evaluated on tissue-extracted DNA. Discrimination between case and control cervical and oropharynx tissue was assessed using area under the curve (AUC). RESULTS 34 HPV(+)OPSCC, 36 HPV(+)CSCC, 26 NOP, and 24 NCS patients met inclusion criteria. Within HPV(+)CSCC, 18/21 (86%) of MDMs achieved an AUC ≥ 0.9 and all MDMs exhibited better than chance classifications relative to control cervical tissue (all p < 0.001). In contrast, within HPV(+)OPSCC only 5/21 (24%) MDMs achieved an AUC ≥ 0.90 but 19/21 (90%) exhibited better than chance classifications relative to control tonsil tissue (all p < 0.001). Overall, 13/21 MDMs had statistically significant lower AUCs in the oropharyngeal cohort compared to the cervical cohort, and only 1 MDM exhibited a statistically significant increase in AUC. CONCLUSIONS Previously validated MDMs exhibited robust performance in independent HPV(+)CSCC patients. However, most of these MDMs exhibited higher discrimination for HPV(+)CSCC than for HPV(+)OPSCC. This suggests that each SCC subtype requires a unique set of MDMs for optimal discrimination. Future studies are necessary to establish an MDM panel for HPV(+)OPSCC.
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Affiliation(s)
- Kathleen R Bartemes
- Department of Otolaryngology, Head and Neck Surgery, Mayo Clinic, Rochester, MN, USA
| | | | | | - Daniel J Ma
- Department of Radiation Oncology, Rochester, MN, USA
| | | | - Kelli N Burger
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | | | - Douglas W Mahoney
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | | | - Xiaoming Cao
- Department of Gastroenterology, Rochester, MN, USA
| | - Sara S Then
- Department of Gastroenterology, Rochester, MN, USA
| | - Travis J Haller
- Department of Otolaryngology, Head and Neck Surgery, Mayo Clinic, Rochester, MN, USA
| | - Alyssa M Larish
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, USA
| | - Eric J Moore
- Department of Otolaryngology, Head and Neck Surgery, Mayo Clinic, Rochester, MN, USA
| | - Joaquin J Garcia
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Rondell P Graham
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | | | | | - Kathryn M Van Abel
- Department of Otolaryngology, Head and Neck Surgery, Mayo Clinic, Rochester, MN, USA.
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13
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Kotanidou EP, Kosvyra A, Mouzaki K, Giza S, Tsinopoulou VR, Serbis A, Chouvarda I, Galli-Tsinopoulou A. Methylation haplotypes of the insulin gene promoter in children and adolescents with type 1 diabetes: Can a dimensionality reduction approach predict the disease? Exp Ther Med 2023; 26:461. [PMID: 37664671 PMCID: PMC10469396 DOI: 10.3892/etm.2023.12160] [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: 01/20/2023] [Accepted: 06/09/2023] [Indexed: 09/05/2023] Open
Abstract
DNA methylation of cytosine-guanine sites (CpGs) is associated with type 1 diabetes (T1D). The sequence of methylated and non-methylated sites in a specific genetic region constitutes its methyl-haplotype. The aim of the present study was to identify insulin gene promoter (IGP) methyl-haplotypes among children and adolescents with T1D and suggest a predictive model for the discrimination of cases and controls according to methyl-haplotypes. A total of 40 individuals (20 T1D) participated. The IGP region from peripheral whole blood DNA of 40 participants (20 T1D) was sequenced using next-generation sequencing, sequences were read using FASTQ files and methylation status was calculated by python-based pipeline for targeted deep bisulfite sequenced amplicons (ampliMethProfiler). Methylation profile at 10 CpG sites proximal to transcription start site of the IGP was recorded and coded as 0 for unmethylation or 1 for methylation. A single read could result in '1111111111' methyl-haplotype (all methylated), '000000000' methyl-haplotype (all unmethylated) or any other combination. Principal component analysis was applied to the generated methyl-haplotypes for dimensionality reduction, and the first three principal components were employed as features with five different classifiers (random forest, decision tree, logistic regression, Naive Bayes, support vector machine). Naive Bayes was the best-performing classifier, with 0.9 accuracy. Predictive models were evaluated using receiver operating characteristics (AUC 0.96). Methyl-haplotypes '1111111111', '1111111011', '1110111111', '1111101111' and '1110101111' were revealed to be the most significantly associated with T1D according to the dimensionality reduction method. Methylation-based biomarkers such as IGP methyl-haplotypes could serve to identify individuals at high risk for T1D.
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Affiliation(s)
- Eleni P. Kotanidou
- Second Department of Pediatrics, Unit of Pediatric Endocrinology and Metabolism, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, AHEPA University Hospital, 54636 Thessaloniki, Greece
| | - Alexandra Kosvyra
- Laboratory of Computing, Medical Informatics and Biomedical Imaging Technologies, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
| | - Konstantina Mouzaki
- Second Department of Pediatrics, Unit of Pediatric Endocrinology and Metabolism, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, AHEPA University Hospital, 54636 Thessaloniki, Greece
| | - Styliani Giza
- Second Department of Pediatrics, Unit of Pediatric Endocrinology and Metabolism, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, AHEPA University Hospital, 54636 Thessaloniki, Greece
| | - Vasiliki Rengina Tsinopoulou
- Second Department of Pediatrics, Unit of Pediatric Endocrinology and Metabolism, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, AHEPA University Hospital, 54636 Thessaloniki, Greece
| | - Anastasios Serbis
- Second Department of Pediatrics, Unit of Pediatric Endocrinology and Metabolism, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, AHEPA University Hospital, 54636 Thessaloniki, Greece
- Department of Pediatrics, Faculty of Medicine, School of Health Sciences, University of Ioannina, University Hospital of Ioannina, 45500 Ioannina, Greece
| | - Ioanna Chouvarda
- Laboratory of Computing, Medical Informatics and Biomedical Imaging Technologies, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
| | - Assimina Galli-Tsinopoulou
- Second Department of Pediatrics, Unit of Pediatric Endocrinology and Metabolism, Faculty of Health Sciences, School of Medicine, Aristotle University of Thessaloniki, AHEPA University Hospital, 54636 Thessaloniki, Greece
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14
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Guo W, Ying P, Ma R, Jing Z, Ma G, Long J, Li G, Liu Z. Liquid biopsy analysis of lipometabolic exosomes in pancreatic cancer. Cytokine Growth Factor Rev 2023; 73:69-77. [PMID: 37684117 DOI: 10.1016/j.cytogfr.2023.07.006] [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: 06/07/2023] [Revised: 07/31/2023] [Accepted: 07/31/2023] [Indexed: 09/10/2023]
Abstract
Pancreatic cancer is characterized by its high malignancy, insidious onset and poor prognosis. Most patients with pancreatic cancer are usually diagnosed at advanced stage or with the distant metastasis due to the lack of an effective early screening method. Liquid biopsy technology is promising in studying the occurrence, progression, and early metastasis of pancreatic cancer. In particular, exosomes are pivotal biomarkers in lipid metabolism and liquid biopsy of blood exosomes is valuable for the evaluation of pancreatic cancer. Lipid metabolism is crucial for the formation and activity of exosomes in the extracellular environment. Exosomes and lipids have a complex relationship of mutual influence. Furthermore, spatial metabolomics can quantify the levels and spatial locations of individual metabolites in cancer tissue, cancer stroma, and para-cancerous tissue in pancreatic cancer. However, the relationship among exosomes, lipid metabolism, and pancreatic cancer is also worth considering. This study mainly updates the research progress of metabolomics in pancreatic cancer, their relationship with exosomes, an important part of liquid biopsy, and their lipometabolic roles in pancreatic cancer. We also discuss the mechanisms by which possible metabolites, especially lipid metabolites through exosome transport and other processes, contribute to the recurrence and metastasis of pancreatic cancer.
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Affiliation(s)
- Wei Guo
- Department of Pancreatic-Biliary Surgery, The First Hospital of China Medical University, Shenyang, China
| | - Peiyao Ying
- Department of Dermatology, The First Hospital of China Medical University, Shenyang, China
| | - Ruiyang Ma
- Department of Otorhinolaryngology, The First Hospital of China Medical University, Shenyang, China
| | - Zuoqian Jing
- Department of Ophthalmology, The First Hospital of China Medical University, Shenyang, China
| | - Gang Ma
- Department of Pancreatic-Biliary Surgery, The First Hospital of China Medical University, Shenyang, China
| | - Jin Long
- Department of Pancreatic-Biliary Surgery, The First Hospital of China Medical University, Shenyang, China
| | - Guichen Li
- Department of Pancreatic-Biliary Surgery, The First Hospital of China Medical University, Shenyang, China.
| | - Zhe Liu
- Department of Pancreatic-Biliary Surgery, The First Hospital of China Medical University, Shenyang, China.
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15
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Sun J, Su M, Ma J, Xu M, Ma C, Li W, Liu R, He Q, Su Z. Cross-platform comparisons for targeted bisulfite sequencing of MGISEQ-2000 and NovaSeq6000. Clin Epigenetics 2023; 15:130. [PMID: 37582783 PMCID: PMC10426093 DOI: 10.1186/s13148-023-01543-4] [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: 04/12/2023] [Accepted: 07/28/2023] [Indexed: 08/17/2023] Open
Abstract
BACKGROUND An accurate and reproducible next-generation sequencing platform is essential to identify malignancy-related abnormal DNA methylation changes and translate them into clinical applications including cancer detection, prognosis, and surveillance. However, high-quality DNA methylation sequencing has been challenging because poor sequence diversity of the bisulfite-converted libraries severely impairs sequencing quality and yield. In this study, we tested MGISEQ-2000 Sequencer's capability of DNA methylation sequencing with a published non-invasive pancreatic cancer detection assay, using NovaSeq6000 as the benchmark. RESULTS We sequenced a series of synthetic cell-free DNA (cfDNA) samples with different tumor fractions and found MGISEQ-2000 yielded data with similar quality as NovaSeq6000. The methylation levels measured by MGISEQ-2000 demonstrated high consistency with NovaSeq6000. Moreover, MGISEQ-2000 showed a comparable analytic sensitivity with NovaSeq6000, suggesting its potential for clinical detection. As to evaluate the clinical performance of MGISEQ-2000, we sequenced 24 clinical samples and predicted the pathology of the samples with a clinical diagnosis model, PDACatch classifier. The clinical model performance of MGISEQ-2000's data was highly consistent with that of NovaSeq6000's data, with the area under the curve of 1. We also tested the model's robustness with MGISEQ-2000's data when reducing the sequencing depth. The results showed that MGISEQ-2000's data showed matching robustness of the PDACatch classifier with NovaSeq6000's data. CONCLUSIONS Taken together, MGISEQ-2000 demonstrated similar data quality, consistency of the methylation levels, comparable analytic sensitivity, and matching clinical performance, supporting its application in future non-invasive early cancer detection investigations by detecting distinct methylation patterns of cfDNAs.
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Affiliation(s)
- Jin Sun
- Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China
| | - Mingyang Su
- Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China
| | - Jianhua Ma
- Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China
| | - Minjie Xu
- Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China
| | - Chengcheng Ma
- Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China
| | - Wei Li
- Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China
| | - Rui Liu
- Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China
| | - Qiye He
- Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China.
| | - Zhixi Su
- Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China.
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16
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Mazer BL, Lee JW, Roberts NJ, Chu LC, Lennon AM, Klein AP, Eshleman JR, Fishman EK, Canto MI, Goggins MG, Hruban RH. Screening for pancreatic cancer has the potential to save lives, but is it practical? Expert Rev Gastroenterol Hepatol 2023; 17:555-574. [PMID: 37212770 PMCID: PMC10424088 DOI: 10.1080/17474124.2023.2217354] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 04/21/2023] [Accepted: 05/19/2023] [Indexed: 05/23/2023]
Abstract
INTRODUCTION Most patients with pancreatic cancer present with advanced stage, incurable disease. However, patients with high-grade precancerous lesions and many patients with low-stage disease can be cured with surgery, suggesting that early detection has the potential to improve survival. While serum CA19.9 has been a long-standing biomarker used for pancreatic cancer disease monitoring, its low sensitivity and poor specificity have driven investigators to hunt for better diagnostic markers. AREAS COVERED This review will cover recent advances in genetics, proteomics, imaging, and artificial intelligence, which offer opportunities for the early detection of curable pancreatic neoplasms. EXPERT OPINION From exosomes, to circulating tumor DNA, to subtle changes on imaging, we know much more now about the biology and clinical manifestations of early pancreatic neoplasia than we did just five years ago. The overriding challenge, however, remains the development of a practical approach to screen for a relatively rare, but deadly, disease that is often treated with complex surgery. It is our hope that future advances will bring us closer to an effective and financially sound approach for the early detection of pancreatic cancer and its precursors.
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Affiliation(s)
- Benjamin L. Mazer
- The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Pathology, the Johns Hopkins University School of Medicine, Baltimore, MD
| | - Jae W. Lee
- The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Pathology, the Johns Hopkins University School of Medicine, Baltimore, MD
| | - Nicholas J. Roberts
- The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Pathology, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Linda C. Chu
- Department of Radiology, the Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Anne Marie Lennon
- Department of Medicine, Division of Gastroenterology and Hepatology, the Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Alison P. Klein
- The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Pathology, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - James R. Eshleman
- The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Pathology, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elliot K. Fishman
- Department of Radiology, the Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Marcia Irene Canto
- Department of Medicine, Division of Gastroenterology and Hepatology, the Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Michael G. Goggins
- The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Pathology, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ralph H. Hruban
- The Sol Goldman Pancreatic Cancer Research Center, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Pathology, the Johns Hopkins University School of Medicine, Baltimore, MD
- Department of Oncology, the Johns Hopkins University School of Medicine, Baltimore, MD, USA
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