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Ma W, Tang W, Kwok JS, Tong AH, Lo CW, Chu AT, Chung BH. A review on trends in development and translation of omics signatures in cancer. Comput Struct Biotechnol J 2024; 23:954-971. [PMID: 38385061 PMCID: PMC10879706 DOI: 10.1016/j.csbj.2024.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2023] [Revised: 01/31/2024] [Accepted: 01/31/2024] [Indexed: 02/23/2024] Open
Abstract
The field of cancer genomics and transcriptomics has evolved from targeted profiling to swift sequencing of individual tumor genome and transcriptome. The steady growth in genome, epigenome, and transcriptome datasets on a genome-wide scale has significantly increased our capability in capturing signatures that represent both the intrinsic and extrinsic biological features of tumors. These biological differences can help in precise molecular subtyping of cancer, predicting tumor progression, metastatic potential, and resistance to therapeutic agents. In this review, we summarized the current development of genomic, methylomic, transcriptomic, proteomic and metabolic signatures in the field of cancer research and highlighted their potentials in clinical applications to improve diagnosis, prognosis, and treatment decision in cancer patients.
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Affiliation(s)
- Wei Ma
- Hong Kong Genome Institute, Hong Kong, China
| | - Wenshu Tang
- Hong Kong Genome Institute, Hong Kong, China
| | | | | | | | | | - Brian H.Y. Chung
- Hong Kong Genome Institute, Hong Kong, China
- Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - Hong Kong Genome Project
- Hong Kong Genome Institute, Hong Kong, China
- Department of Pediatrics and Adolescent Medicine, School of Clinical Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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2
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Laven-Law G, Kichenadasse G, Young GP, Symonds EL, Winter JM. BCAT1, IKZF1 and SEPT9: methylated DNA biomarkers for detection of pan-gastrointestinal adenocarcinomas. Biomarkers 2024; 29:194-204. [PMID: 38644767 DOI: 10.1080/1354750x.2024.2340663] [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: 01/23/2024] [Accepted: 04/01/2024] [Indexed: 04/23/2024]
Abstract
INTRODUCTION Methylated circulating tumour DNA (ctDNA) blood tests for BCAT1/IKZF1 (COLVERA) and SEPT9 (Epi proColon) are used to detect colorectal cancer (CRC). However, there are no ctDNA assays approved for other gastrointestinal adenocarcinomas. We aimed to characterize BCAT1, IKZF1 and SEPT9 methylation in different gastrointestinal adenocarcinoma and non-gastrointestinal tumours to determine if these validated CRC biomarkers might be useful for pan-gastrointestinal adenocarcinoma detection. METHODS Tissue DNA methylation data from colorectal (COAD, READ), gastroesophageal (ESCA, STAD), pancreatic (PAAD) and cholangiocarcinoma (CHOL) adenocarcinoma cohorts within The Cancer Genome Atlas were used for differential methylation analyses. Clinicodemographic predictors of BCAT1, IKZF1 and SEPT9 methylation, and the selectivity of hypermethylated BCAT1, IKZF1 and SEPT9 for colorectal adenocarcinomas in comparison to other cancers were each explored with beta regression. RESULTS Hypermethylated BCAT1, IKZF1 and SEPT9 were each differentially methylated in colorectal and gastroesophageal adenocarcinomas. IKZF1 was differentially methylated in pancreatic adenocarcinoma. Hypermethylated DNA biomarkers BCAT1, IKZF1 and SEPT9 were largely stable across different stages of disease and were highly selective for gastrointestinal adenocarcinomas relative to other cancer types. DISCUSSION Existing CRC methylated ctDNA blood tests for BCAT1/IKZF1 and SEPT9 might be usefully repurposed for use in other gastrointestinal adenocarcinomas and warrant further prospective ctDNA studies.
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Affiliation(s)
- Geraldine Laven-Law
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Adelaide, South Australia
| | - Ganessan Kichenadasse
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Adelaide, South Australia
- Department of Medical Oncology, Flinders Medical Centre, Southern Adelaide Local Health Network, Adelaide, South Australia
| | - Graeme P Young
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Adelaide, South Australia
| | - Erin L Symonds
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Adelaide, South Australia
- Department of Gastroenterology and Hepatology, Flinders Medical Centre, Southern Adelaide Local Health Network, Adelaide, South Australia
| | - Jean M Winter
- Flinders University, College of Medicine and Public Health, Flinders Health and Medical Research Institute, Adelaide, South Australia
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3
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Church J. Being a Colorectal Geneticist. Dis Colon Rectum 2024; 67:743-747. [PMID: 38441139 DOI: 10.1097/dcr.0000000000003306] [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] [Indexed: 05/05/2024]
Affiliation(s)
- James Church
- Global Center for Integrated Colorectal Surgery and IBD Interventional Endoscopy, Columbia University Medical Center, New York, New York
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4
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Venken T, Miller IS, Arijs I, Thomas V, Barat A, Betge J, Zhan T, Gaiser T, Ebert MP, O'Farrell AC, Prehn J, Klinger R, O'Connor DP, Moulton B, Murphy V, Serna G, Nuciforo PG, McDermott R, Bird B, Leonard G, Grogan L, Horgan A, Schulte N, Moehler M, Lambrechts D, Byrne AT. Analysis of cell free DNA to predict outcome to bevacizumab therapy in colorectal cancer patients. NPJ Genom Med 2024; 9:33. [PMID: 38811554 PMCID: PMC11137102 DOI: 10.1038/s41525-024-00415-x] [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: 09/22/2023] [Accepted: 05/02/2024] [Indexed: 05/31/2024] Open
Abstract
To predict outcome to combination bevacizumab (BVZ) therapy, we employed cell-free DNA (cfDNA) to determine chromosomal instability (CIN), nucleosome footprints (NF) and methylation profiles in metastatic colorectal cancer (mCRC) patients. Low-coverage whole-genome sequencing (LC-WGS) was performed on matched tumor and plasma samples, collected from 74 mCRC patients from the AC-ANGIOPREDICT Phase II trial (NCT01822444), and analysed for CIN and NFs. A validation cohort of plasma samples from the University Medical Center Mannheim (UMM) was similarly profiled. 61 AC-ANGIOPREDICT plasma samples collected before and following BVZ treatment were selected for targeted methylation sequencing. Using cfDNA CIN profiles, AC-ANGIOPREDICT samples were subtyped with 92.3% accuracy into low and high CIN clusters, with good concordance observed between matched plasma and tumor. Improved survival was observed in CIN-high patients. Plasma-based CIN clustering was validated in the UMM cohort. Methylation profiling identified differences in CIN-low vs. CIN high (AUC = 0.87). Moreover, significant methylation score decreases following BVZ was associated with improved outcome (p = 0.013). Analysis of CIN, NFs and methylation profiles from cfDNA in plasma samples facilitates stratification into CIN clusters which inform patient response to treatment.
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Affiliation(s)
- Tom Venken
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, Leuven, Belgium
| | - Ian S Miller
- Precision Cancer Medicine Group, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ingrid Arijs
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium
- VIB Center for Cancer Biology, Leuven, Belgium
| | - Valentina Thomas
- Precision Cancer Medicine Group, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Ana Barat
- Centre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Johannes Betge
- Department of Medicine II, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- Junior Clinical Cooperation Unit Translational Gastrointestinal Oncology and Preclinical Models, German Cancer Research Center (DKFZ), Heidelberg, Germany
- DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany
- German Cancer Consortium (DKTK), Heidelberg, Germany
| | - Tianzuo Zhan
- Department of Medicine II, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Timo Gaiser
- Department of Medicine II, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Matthias P Ebert
- Department of Medicine II, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
- DKFZ-Hector Cancer Institute at University Medical Center Mannheim, Mannheim, Germany
- Molecular Medicine Partnership Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Alice C O'Farrell
- Precision Cancer Medicine Group, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Jochen Prehn
- Centre for Systems Medicine, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Rut Klinger
- UCD Conway Institute of Biomolecular and Biomedical Science, University College Dublin, Dublin, Ireland
| | - Darran P O'Connor
- Department of Pharmacy and Biomolecular Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | | | | | - Garazi Serna
- Val d'Hebron Institute of Oncology, Barcelona, Spain
| | | | - Ray McDermott
- Cancer Trials Ireland, Dublin, Ireland
- Department of Medical Oncology, Tallaght University Hospital, Dublin, Ireland
- Department of Medical Oncology, St. Vincent's University Hospital, Dublin, Ireland
| | - Brian Bird
- Bon Secours Cork Cancer Centre, Bon Secours Hospital Cork, Cork, Ireland
| | | | - Liam Grogan
- Medical Oncology Department, Beaumont Hospital, Dublin, Ireland
| | - Anne Horgan
- Department of Medical Oncology, South East Cancer Center, University Hospital Waterford, Waterford, Ireland
| | - Nadine Schulte
- Department of Medicine II, University Medical Center Mannheim, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Markus Moehler
- Department of Medicine, Johannes-Gutenberg University Clinic, Mainz, Germany
| | - Diether Lambrechts
- Laboratory for Translational Genetics, Department of Human Genetics, KU Leuven, Leuven, Belgium.
- VIB Center for Cancer Biology, Leuven, Belgium.
| | - Annette T Byrne
- Precision Cancer Medicine Group, Department of Physiology and Medical Physics, Royal College of Surgeons in Ireland, Dublin, Ireland.
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Vishwanath A, Krishna S, Manudhane AP, Hart PA, Krishna SG. Early-Onset Gastrointestinal Malignancies: An Investigation into a Rising Concern. Cancers (Basel) 2024; 16:1553. [PMID: 38672634 PMCID: PMC11049592 DOI: 10.3390/cancers16081553] [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: 03/12/2024] [Revised: 04/11/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024] Open
Abstract
There is growing recognition of early-onset gastrointestinal (GI) malignancies in young adults < 50 years of age. While much of the literature has emphasized colorectal cancer, these also include esophageal, gastric, liver, pancreatic, and biliary tract malignancies. Various factors, including lifestyle, hereditary, and environmental elements, have been proposed to explain the rising incidence of GI malignancies in the younger population. This review aims to provide an overview of the recent literature, including global trends and information regarding genetic and environmental risk factors.
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Affiliation(s)
- Aayush Vishwanath
- Department of Neuroscience, The Ohio State University, Columbus, OH 43210, USA;
| | - Shreyas Krishna
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University, Columbus, OH 43210, USA; (S.K.); (A.P.M.)
| | - Albert P. Manudhane
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University, Columbus, OH 43210, USA; (S.K.); (A.P.M.)
| | - Phil A. Hart
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University, Columbus, OH 43210, USA; (S.K.); (A.P.M.)
| | - Somashekar G. Krishna
- Division of Gastroenterology, Hepatology and Nutrition, The Ohio State University, Columbus, OH 43210, USA; (S.K.); (A.P.M.)
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Loomans-Kropp HA. The utility of liquid biopsy-based methylation biomarkers for colorectal cancer detection. Front Oncol 2024; 14:1351514. [PMID: 38595823 PMCID: PMC11002156 DOI: 10.3389/fonc.2024.1351514] [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: 12/07/2023] [Accepted: 03/13/2024] [Indexed: 04/11/2024] Open
Abstract
Colorectal cancer (CRC) is one of the most prevalent cancers and the second leading cause of cancer-related deaths in the United States. It is also one of the few cancers with established screening guidelines, however these methods have significant patient burden (e.g., time, invasive). In recent years, the development of liquid biopsy-based screening methods for biomarker detection have emerged as alternatives to traditional screening. Methylation biomarkers are of particular interest, and these markers can be identified and measured on circulating tumor and cell-free DNA. This perspective summarizes the current state of CRC screening and the potential integration of DNA methylation markers into liquid biopsy-based techniques. Finally, I discuss limitations to these methods and strategies for improvement. The continued development and implementation of liquid biopsy-based cancer screening approaches may provide an acceptable alternative to individuals unwilling to be screened by traditional methods.
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Affiliation(s)
- Holli A. Loomans-Kropp
- Cancer Control Program, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, The Ohio State University, Columbus, OH, United States
- Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University, Columbus, OH, United States
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Liu H, Song C, Wang J, Chen Z, Zhang X, Zhou H, Yao L, Chen D, Gu W, Huang RK, Huang BK, Han BW, Du J. Development of fecal microbial diagnostic marker sets of colorectal cancer using natural language processing method. Int J Biol Markers 2024; 39:31-39. [PMID: 38128926 DOI: 10.1177/03936155231210881] [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] [Indexed: 12/23/2023]
Abstract
BACKGROUND Cancer screening and early detection greatly increase the chances of successful treatment. However, most cancer types lack effective early screening biomarkers. In recent years, natural language processing (NLP)-based text-mining methods have proven effective in searching the scientific literature and identifying promising associations between potential biomarkers and disease, but unfortunately few are widely used. METHODS In this study, we used an NLP-enabled text-mining system, MarkerGenie, to identify potential stool bacterial markers for early detection and screening of colorectal cancer. After filtering markers based on text-mining results, we validated bacterial markers using multiplex digital droplet polymerase chain reaction (ddPCR). Classifiers were built based on ddPCR results, and sensitivity, specificity, and area under the curve (AUC) were used to evaluate the performance. RESULTS A total of 7 of the 14 bacterial markers showed significantly increased abundance in the stools of colorectal cancer patients. A five-bacteria classifier for colorectal cancer diagnosis was built, and achieved an AUC of 0.852, with a sensitivity of 0.692 and specificity of 0.935. When combined with the fecal immunochemical test (FIT), our classifier achieved an AUC of 0.959 and increased the sensitivity of FIT (0.929 vs. 0.872) at a specificity of 0.900. CONCLUSIONS Our study provides a valuable case example of the use of NLP-based marker mining for biomarker identification.
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Affiliation(s)
- Houcong Liu
- Research Center for Clinical and Translational Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, and the 6th Affiliated Hospital of Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Changpu Song
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Jidong Wang
- Research Center for Clinical and Translational Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, and the 6th Affiliated Hospital of Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Zhufang Chen
- Research Center for Clinical and Translational Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, and the 6th Affiliated Hospital of Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Xiaohong Zhang
- Research Center for Clinical and Translational Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, and the 6th Affiliated Hospital of Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Hekai Zhou
- Research Center for Clinical and Translational Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, and the 6th Affiliated Hospital of Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Linhong Yao
- Research Center for Clinical and Translational Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, and the 6th Affiliated Hospital of Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Dan Chen
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Wenhao Gu
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Rui-Kun Huang
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Bing-Kun Huang
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Bo-Wei Han
- Guangdong Jiyin Biotech Co. Ltd, Shenzhen, Guangdong, China
| | - Jihui Du
- Research Center for Clinical and Translational Medicine, Huazhong University of Science and Technology Union Shenzhen Hospital, and the 6th Affiliated Hospital of Shenzhen University Medical School, Shenzhen, Guangdong, China
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8
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Chang L, Wang D, Han Y, Diao Z, Chen Y, Li J, Zhang R. External quality assessment for detection of colorectal cancer by Septin9 DNA methylation in clinical laboratories. Clin Chim Acta 2024; 552:117663. [PMID: 38008152 DOI: 10.1016/j.cca.2023.117663] [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: 06/25/2023] [Revised: 10/28/2023] [Accepted: 11/15/2023] [Indexed: 11/28/2023]
Abstract
BACKGROUND AND AIMS The incidence and mortality rate of colorectal cancer (CRC) are increasing worldwide. Septin9 methylated (mSEPT9) DNA in circulation can be used as a non-invasive detection method to assist in the early diagnosis of CRC; however, the detection methods and procedures are complicated. This study aimed to evaluate the ability of clinical laboratories to detect Septin9 methylation in plasma cell-free DNA (cfDNA). MATERIALS AND METHODS We prepared a sample panel consisting of positive and negative Septin9 methylation cells and CRC cells. Three positive samples with different methylation levels, one negative sample and one duplicate sample, two samples containing interference, three different CRC cell samples, and a fictitious case report were included. The panel was distributed to 59 laboratories for mSEPT9 analysis, result comparison, and scoring. RESULTS The sample panel, validated by National Medical Products Administration (NMPA)-approved tests and targeted bisulfite sequencing, met expectations and could be used for external quality assessment (EQA). Among the 59 laboratories, 55 (93.22%) correctly reported the mSEPT9 results for all samples, while four (6.79%) reported 15 false negatives and were considered improvable. All false negatives originated from four laboratories using laboratory-developed tests (LDTs), with three failing to detect weakly positive samples, samples containing interference, and samples from different CRC cells, and one reported erroneous results on all positive samples. CONCLUSION Our results illustrated that the detection of mSEPT9 in cfDNA is satisfactory in China. EQA is indispensable because it can help improve the diagnostic capability and quality management of the laboratories, and provide suggestions for the problems existing in mSEPT9 detection.
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Affiliation(s)
- Lu Chang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P.R. China; National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, P.R. China; Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
| | - Duo Wang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P.R. China; National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, P.R. China; Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
| | - Yanxi Han
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P.R. China; Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
| | - Zhenli Diao
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P.R. China; National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, P.R. China; Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
| | - Yuqing Chen
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P.R. China; National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, P.R. China; Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China
| | - Jinming Li
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P.R. China; National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, P.R. China; Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China.
| | - Rui Zhang
- National Center for Clinical Laboratories, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing Hospital/National Center of Gerontology, P.R. China; National Center for Clinical Laboratories, Chinese Academy of Medical Sciences & Peking Union Medical College, P.R. China; Beijing Engineering Research Center of Laboratory Medicine, Beijing, P.R. China.
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Khambata K, Begum S, Raut S, Mohan S, Irani D, Singh D, Bansal V, Patil A, Balasinor NH. DNA methylation biomarkers to identify epigenetically abnormal spermatozoa in male partners from couples experiencing recurrent pregnancy loss. Epigenetics 2023; 18:2252244. [PMID: 37699152 PMCID: PMC10498810 DOI: 10.1080/15592294.2023.2252244] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 07/28/2023] [Accepted: 08/22/2023] [Indexed: 09/14/2023] Open
Abstract
Previously, we showed that DNA methylation defects in spermatozoa from male partners of couples undergoing recurrent pregnancy loss (RPL) could be a contributing paternal factor. In the present study, we aimed to determine whether the methylation levels of selected imprinted genes can be used as diagnostic markers to identify epigenetically abnormal spermatozoa sample in these cases. The methylation levels of selected imprinted genes in spermatozoa, which were previously found to be differentially methylated, were combined into a probability score (between 0-1) using multiple logistic regression. Different combinations of these genes were investigated using Receiver Operating Characteristic analysis, and the threshold values were experimentally validated in an independent cohort of 38 control and 45 RPL spermatozoa samples. Among the different combinations investigated, a combination of five imprinted genes comprising IGF2-H19 DMR, IG-DMR, ZAC, KvDMR, and PEG3 (AUC = 0.88) with a threshold value of 0.61 was selected with a specificity of 90.41% and sensitivity of 70%. The results from the validation study indicated that 97% of the control samples had probability scores below this threshold, whereas 40% of the RPL samples were above this threshold with a post-hoc power of 97.8%. Thus, this combination can correctly classify control samples and potentially identify epigenetically abnormal spermatozoa samples in the male partners of couples undergoing RPL. We propose that the combined DNA methylation levels of these imprinted genes can be used as a diagnostic tool to identify spermatozoa samples with epigenetic defects which could contribute to the pathophysiology of RPL and the couple could be counselled appropriately.
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Affiliation(s)
- Kushaan Khambata
- Gamete Immunobiology Department, Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Shahina Begum
- Biostatistics Department, Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Sanketa Raut
- Neuroendocrinology Department, Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Sweta Mohan
- Neuroendocrinology Department, Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Delna Irani
- Neuroendocrinology Department, Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Dipty Singh
- Neuroendocrinology Department, Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Vandana Bansal
- Department of Obstetrics and Gynecology, Nowrosjee Wadia Maternity Hospital, Mumbai, India
| | - Anushree Patil
- Clinical Research Department, Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, India
| | - Nafisa H. Balasinor
- Neuroendocrinology Department, Indian Council of Medical Research-National Institute for Research in Reproductive and Child Health, Mumbai, India
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Lu X, Vano YA, Su X, Helleux A, Lindner V, Mouawad R, Spano JP, Rouprêt M, Compérat E, Verkarre V, Sun CM, Bennamoun M, Lang H, Barthelemy P, Cheng W, Xu L, Davidson I, Yan F, Fridman WH, Sautes-Fridman C, Oudard S, Malouf GG. Silencing of genes by promoter hypermethylation shapes tumor microenvironment and resistance to immunotherapy in clear-cell renal cell carcinomas. Cell Rep Med 2023; 4:101287. [PMID: 37967556 PMCID: PMC10694769 DOI: 10.1016/j.xcrm.2023.101287] [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: 05/08/2023] [Revised: 07/21/2023] [Accepted: 10/19/2023] [Indexed: 11/17/2023]
Abstract
The efficacy of immune checkpoint inhibitors varies in clear-cell renal cell carcinoma (ccRCC), with notable primary resistance among patients. Here, we integrate epigenetic (DNA methylation) and transcriptome data to identify a ccRCC subtype characterized by cancer-specific promoter hypermethylation and epigenetic silencing of Polycomb targets. We develop and validate an index of methylation-based epigenetic silencing (iMES) that predicts primary resistance to immune checkpoint inhibition (ICI) in the BIONIKK trial. High iMES is associated with VEGF pathway silencing, endothelial cell depletion, immune activation/suppression, EZH2 activation, BAP1/SETD2 deficiency, and resistance to ICI. Combination therapy with hypomethylating agents or tyrosine kinase inhibitors may benefit patients with high iMES. Intriguingly, tumors with low iMES exhibit increased endothelial cells and improved ICI response, suggesting the importance of angiogenesis in ICI treatment. We also develop a transcriptome-based analogous system for extended applicability of iMES. Our study underscores the interplay between epigenetic alterations and tumor microenvironment in determining immunotherapy response.
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Affiliation(s)
- Xiaofan Lu
- Department of Cancer and Functional Genomics, Institute of Genetics and Molecular and Cellular Biology, CNRS/INSERM/UNISTRA, 67400 Illkirch, France
| | - Yann-Alexandre Vano
- Department of Medical Oncology, Hôpital Européen Georges Pompidou, Institut du Cancer Paris CARPEM, AP-HP, Université Paris Cité, Paris, France; Centre de Recherche Cordeliers, INSERM 1138, Université de Paris Cité, Sorbonne Université, Equipe labellisée Ligue contre le Cancer, 75006 Paris, France
| | - Xiaoping Su
- Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Alexandra Helleux
- Department of Cancer and Functional Genomics, Institute of Genetics and Molecular and Cellular Biology, CNRS/INSERM/UNISTRA, 67400 Illkirch, France
| | - Véronique Lindner
- Department of Pathology, Strasbourg University Hospital, Strasbourg, France
| | - Roger Mouawad
- Department of Medical Oncology, Sorbonne University, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Jean-Philippe Spano
- Department of Medical Oncology, Sorbonne University, AP-HP, Hôpital Pitié-Salpêtrière, Paris, France
| | - Morgan Rouprêt
- Sorbonne University, GRC 5 P, UKredictive Onco-Uro, AP-HP, Urology, Pitié-Salpêtrière Hospital, 75013 Paris, France
| | - Eva Compérat
- Department of Pathology, Sorbonne University, AP-HP, Hôpital Tenon, Paris, France
| | - Virginie Verkarre
- Department of Pathology, Hôpital Européen Georges Pompidou, Institut du Cancer Paris CARPEM, AP-HP, Université Paris Cité, Paris, France
| | - Cheng-Ming Sun
- Centre de Recherche Cordeliers, INSERM 1138, Université de Paris Cité, Sorbonne Université, Equipe labellisée Ligue contre le Cancer, 75006 Paris, France
| | - Mostefa Bennamoun
- Department of Medical Oncology, Institut Mutualiste Montsouris, Paris, France
| | - Hervé Lang
- Department of Urology, Strasbourg University Hospital, Strasbourg, France
| | - Philippe Barthelemy
- Department of Medical Oncology, Strasbourg University, Institut de Cancérologie de Strasbourg, Strasbourg, France
| | - Wenxuan Cheng
- Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, P.R. China
| | - Li Xu
- Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, P.R. China
| | - Irwin Davidson
- Department of Cancer and Functional Genomics, Institute of Genetics and Molecular and Cellular Biology, CNRS/INSERM/UNISTRA, 67400 Illkirch, France
| | - Fangrong Yan
- Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, P.R. China
| | - Wolf Hervé Fridman
- Centre de Recherche Cordeliers, INSERM 1138, Université de Paris Cité, Sorbonne Université, Equipe labellisée Ligue contre le Cancer, 75006 Paris, France
| | - Catherine Sautes-Fridman
- Centre de Recherche Cordeliers, INSERM 1138, Université de Paris Cité, Sorbonne Université, Equipe labellisée Ligue contre le Cancer, 75006 Paris, France
| | - Stéphane Oudard
- Centre de Recherche Cordeliers, INSERM 1138, Université de Paris Cité, Sorbonne Université, Equipe labellisée Ligue contre le Cancer, 75006 Paris, France
| | - Gabriel G Malouf
- Department of Cancer and Functional Genomics, Institute of Genetics and Molecular and Cellular Biology, CNRS/INSERM/UNISTRA, 67400 Illkirch, France; Department of Medical Oncology, Strasbourg University, Institut de Cancérologie de Strasbourg, Strasbourg, France.
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11
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Tan WY, Sharma A, Das P, Ahuja N. Early Detection of Cancers in the Era of Precision Oncology. Curr Opin Oncol 2023; 35:115-124. [PMID: 36721896 DOI: 10.1097/cco.0000000000000931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
PURPOSE OF REVIEW The increasing global incidence of cancer demands innovative cancer detection modalities. The current population-based early cancer detection approaches focus on several major types of cancers (breast, prostate, cervical, lung and colon) at their early stages, however, they generally do not target high-risk individuals at precancerous stages. RECENT FINDINGS Some cancers, such as pancreatic cancer, are challenging to detect in their early stages. Therefore, there is a pressing need for improved, accessible, noninvasive, and cost-effective early detection methods. Harnessing cell-free-based biomarker-driven strategies paves a new era of precision diagnosis for multicancer early detection. The majority of these tests are in the early stages and expensive, but these approaches are expected to become cost sensitive in the near future. SUMMARY This review provides an overview of early cancer detection strategies, highlighting the methods, challenges, and issues to be addressed to revolutionize and improve global early cancer detection.
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Affiliation(s)
| | - Anup Sharma
- Yale School of Medicine, Department of Surgery
| | | | - Nita Ahuja
- Yale School of Medicine, Department of Surgery
- Yale School of Medicine, Department of Pathology
- Yale School of Medicine, Biological and Biomedical Sciences Program (BBS), Yale University, New Haven, Connecticut, USA
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12
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Colorectal Cancer Diagnosis: The Obstacles We Face in Determining a Non-Invasive Test and Current Advances in Biomarker Detection. Cancers (Basel) 2022; 14:cancers14081889. [PMID: 35454792 PMCID: PMC9029324 DOI: 10.3390/cancers14081889] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/04/2022] [Accepted: 04/06/2022] [Indexed: 02/07/2023] Open
Abstract
Simple Summary Colorectal cancer (CRC) is one of the most common cancers in the western world. CRC originates from precursor adenomatous polyps, which may over time develop into cancer. Endoscopic evaluation remains the gold-standard investigation for the disease. In the absence of molecular tools for early detection, the removal of neoplastic adenomas via polypectomy remains an important measure to prevent dysplastic adenomas from evolving into invasive carcinoma. Colonoscopy is an intrusive procedure that provides an uncomfortable experience for patients. Kits for testing for the presence of blood hemoglobin in the stool are now widely used, and DNA methylation-based detection kits have been approved in the USA for testing the stool and plasma, but few other molecular biomarkers have found their way into medical practice. This review summarizes current trends in the detection and screening of CRC and provides a definitive review of emerging molecular biomarkers for CRC. Abstract Globally, colorectal cancer (CRC) is the third most common cancer, with 1.4 million new cases and over 700,000 deaths per annum. Despite being one of the most common cancers, few molecular approaches to detect CRC exist. Carcinoembryonic antigen (CEA) is a known serum biomarker that is used in CRC for monitoring disease recurrence or response to treatment. However, it can also be raised in multiple benign conditions, thus having no value in early detection or screening for CRC. Molecular biomarkers play an ever-increasing role in the diagnosis, prognosis, and outcome prediction of disease, however, only a limited number of biomarkers are available and none are suitable for early detection and screening of CRC. A PCR-based Epi proColon® blood plasma test for the detection of methylated SEPT9 has been approved by the USFDA for CRC screening in the USA, alongside a stool test for methylated DNA from CRC cells. However, these are reserved for patients who decline traditional screening methods. There remains an urgent need for the development of non-invasive molecular biomarkers that are highly specific and sensitive to CRC and that can be used routinely for early detection and screening. A molecular approach to the discovery of CRC biomarkers focuses on the analysis of the transcriptome of cancer cells to identify differentially expressed genes and proteins. A systematic search of the literature yielded over 100 differentially expressed CRC molecular markers, of which the vast majority are overexpressed in CRC. In terms of function, they largely belong to biological pathways involved in cell division, regulation of gene expression, or cell proliferation, to name a few. This review evaluates the current methods used for CRC screening, current availability of biomarkers, and new advances within the field of biomarker detection for screening and early diagnosis of CRC.
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13
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Müller D, Győrffy B. DNA methylation-based diagnostic, prognostic, and predictive biomarkers in colorectal cancer. Biochim Biophys Acta Rev Cancer 2022; 1877:188722. [PMID: 35307512 DOI: 10.1016/j.bbcan.2022.188722] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 02/21/2022] [Accepted: 03/13/2022] [Indexed: 12/12/2022]
Abstract
DNA methylation is an epigenetic mechanism regulating gene expression. Changes in DNA methylation were suggested to be useful biomarkers for diagnosis, and for the determination of prognosis and treatment response. Here, we provide an overview of methylation-based biomarkers in colorectal cancer. First, we start with the two methylation-based diagnostic biomarkers already approved for colorectal cancer, SEPT9 and the combination of NDRG4 and BMP3. Then, we provide a list-based overview of new biomarker candidates depending on the sample source including plasma, stool, urine, and surgically removed tumor tissues. The most often identified markers like SDC2, VIM, APC, MGMT, SFRP1, SFRP2, and NDRG4 have distinct functions previously linked to tumor progression. Although numerous studies have identified tumor-specific methylation changes, most of these alterations were observed in a single study only. The lack of validation in independent samples means low reproducibility and is a major limitation. The genome-wide determination of methylation status (methylome) can provide data to solve these issues. In the third section of the review, methylome studies focusing on different aspects related to CRC, including precancerous lesions, CRC-specific changes, molecular subtypes, aging, and chemotherapy response are summarized. Notably, techniques simultaneously analyzing a large set of regions can also uncover epigenetic regulation of genes which have not yet been associated with tumorigenesis previously. A remaining constraint of studies published to date is the low patient number utilized in these preventing the identification of clinically valuable biomarker candidates. Either future large-scale studies or the integration of already available methylome-level data will be necessary to uncover biomarkers sufficiently robust for clinical application.
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Affiliation(s)
- Dalma Müller
- Dept. of Bioinformatics, Semmelweis University, Budapest, Hungary; Cancer Biomarker Research Group, RCNS, Budapest, Hungary
| | - Balázs Győrffy
- Dept. of Bioinformatics, Semmelweis University, Budapest, Hungary; Cancer Biomarker Research Group, RCNS, Budapest, Hungary.
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14
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Circulating cancer biomarkers: current status and future prospects. Cancer Biomark 2022. [DOI: 10.1016/b978-0-12-824302-2.00009-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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15
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Keup C, Suryaprakash V, Storbeck M, Hoffmann O, Kimmig R, Kasimir-Bauer S. Longitudinal Multi-Parametric Liquid Biopsy Approach Identifies Unique Features of Circulating Tumor Cell, Extracellular Vesicle, and Cell-Free DNA Characterization for Disease Monitoring in Metastatic Breast Cancer Patients. Cells 2021; 10:212. [PMID: 33494385 PMCID: PMC7912374 DOI: 10.3390/cells10020212] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2020] [Revised: 01/08/2021] [Accepted: 01/18/2021] [Indexed: 02/07/2023] Open
Abstract
Dynamics of mRNA from circulating tumor cells (CTCs), mRNA from extracellular vesicles (EVs), and cell-free DNA (cfDNA) were assessed to examine the relevance of a longitudinal multi-parametric liquid biopsy strategy. Eighteen milliliters of blood was drawn from 27 hormone receptor-positive and human epidermal growth factor receptor 2 (HER2)-negative metastatic breast cancer (MBC) patients at disease progression and at two subsequent radiologic staging time points. CTC mRNA and EV mRNA were analyzed using multi-marker qPCR, and cfDNA was analyzed using targeted next-generation sequencing (NGS). The presence of ERBB2 or ERBB3 overexpression signals in CTCs significantly correlated with disease progression (87% specificity, 36% sensitivity, p-value = 0.023), and the presence of either ERBB3 signals in CTCs or EVs or cfDNA variants in ERBB3 also showed a significant association with progressive MBC. Fluctuations during treatment were detected in the EV fraction with the appearance of hitherto undetected ERCC1 signals correlating with progressive disease (97% specificity, 18% sensitivity, p-value = 0.030). Allele frequency development of ESR1 and PIK3CA variants detected at subsequent staging time points could be used as a predictor for therapy success and, importantly, might help guide therapy decisions. The three analytes, each with their own unique features for disease monitoring, were shown to be complementary, underlining the usefulness of the longitudinal multi-parametric liquid biopsy approach.
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Affiliation(s)
- Corinna Keup
- Department of Gynecology and Obstetrics, University Hospital of Essen, 45122 Essen, Germany; (O.H.); (R.K.); (S.K.-B.)
| | | | | | - Oliver Hoffmann
- Department of Gynecology and Obstetrics, University Hospital of Essen, 45122 Essen, Germany; (O.H.); (R.K.); (S.K.-B.)
| | - Rainer Kimmig
- Department of Gynecology and Obstetrics, University Hospital of Essen, 45122 Essen, Germany; (O.H.); (R.K.); (S.K.-B.)
| | - Sabine Kasimir-Bauer
- Department of Gynecology and Obstetrics, University Hospital of Essen, 45122 Essen, Germany; (O.H.); (R.K.); (S.K.-B.)
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Huang ZB, Zhang HT, Yu B, Yu DH. Cell-free DNA as a liquid biopsy for early detection of gastric cancer. Oncol Lett 2021; 21:3. [PMID: 33240409 PMCID: PMC7681206 DOI: 10.3892/ol.2020.12264] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 09/17/2020] [Indexed: 02/06/2023] Open
Abstract
Gastric cancer (GC) is one of the most common malignant tumors with poor prognosis worldwide, mainly due to the lack of suitable modalities for population-based screening and early detection of this disease. Therefore, novel and less invasive tests with improved clinical utility are urgently required. The remarkable advances in genomics and proteomics, along with emerging new technologies for highly sensitive detection of genetic alterations, have shown the potential to map the genomic makeup of a tumor in liquid biopsies, in order to assist with early detection and clinical management. The present review summarize the current status in the identification and development of cell-free DNA (cfDNA)-based biomarkers in GC, and also discusses their potential utility and the technical challenges in developing practical cfDNA-based liquid biopsy for early detection of GC.
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Affiliation(s)
- Zheng-Bin Huang
- Department of Surgery, Hanchuan Renmin Hospital, Hanchuan, Hubei 431600, P.R. China
| | - Hai-Tao Zhang
- Department of Gastrointestinal Surgery, The Second People's Hospital of Shenzhen, Shenzhen, Guangdong 518037, P.R. China
| | - Benjamin Yu
- Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA
| | - De-Hua Yu
- Shenzhen USK Bioscience Co., Ltd., Shenzhen, Guangdong 518110, P.R. China
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