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Joustra V, Li Yim AYF, van Gennep S, Hageman I, de Waard T, Levin E, Lauffer P, de Jonge W, Henneman P, Löwenberg M, D’Haens G. Peripheral Blood DNA Methylation Signatures and Response to Tofacitinib in Moderate-to-severe Ulcerative Colitis. J Crohns Colitis 2024; 18:1179-1189. [PMID: 37526299 PMCID: PMC11324342 DOI: 10.1093/ecco-jcc/jjad129] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 05/22/2023] [Accepted: 07/27/2023] [Indexed: 08/02/2023]
Abstract
INTRODUCTION Predictive biomarkers for treatment efficacy of ulcerative colitis [UC] treatments are lacking. Here, we performed a longitudinal study investigating the association and potential predictive power of genome-wide peripheral blood [PB] DNA methylation signatures and response to tofacitinib treatment in UC. METHODS We recruited moderate-to-severe UC patients starting tofacitinib treatment, and measured PB DNA methylation profiles at baseline [T1], after 8 weeks [T2], and in a subset [n = 8] after a median of 20 weeks [T3] using the Illumina Infinium HumanMethylation EPIC BeadChip. After 8 weeks, we distinguished responders [R] from non-responders [NR] based on a centrally read endoscopic response [decrease in endoscopic Mayo score ≥1 or Ulcerative Colitis Endoscopic Index of Severity ≥2] combined with corticosteroid-free clinical and/or biochemical response. T1 PB samples were used for biomarker identification, and T2 and publicly available intraclass correlation [ICC] data were used for stability analyses. RNA-sequencing was performed to understand the downstream effects of the predictor CpG loci. RESULTS In total, 16 R and 15 NR patients, with a median disease duration of 7 [4-12] years and overall comparable patient characteristics at baseline, were analysed. We identified a panel of 53 differentially methylated positions [DMPs] associated with response to tofacitinib [AUROC 0.74]. Most DMPs [77%] demonstrated both short- and long-term hyperstability [ICC ≥0.90], irrespective of inflammatory status. Gene expression analysis showed lower FGFR2 [pBH = 0.011] and LRPAP1 [pBH = 0.020], and higher OR2L13 [pBH = 0.016] expression at T1 in R compared with NR. CONCLUSION Our observations demonstrate the utility of genome-wide PB DNA methylation signatures to predict response to tofacitinib.
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Affiliation(s)
- Vincent Joustra
- Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Andrew Y F Li Yim
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Genome Diagnostics Laboratory, Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Tytgat Institute for Liver and Intestinal Research, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Sara van Gennep
- Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Ishtu Hageman
- Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Tytgat Institute for Liver and Intestinal Research, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | | | | | - Peter Lauffer
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Pediatric Endocrinology, Emma Children’s Hospital, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Wouter de Jonge
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Tytgat Institute for Liver and Intestinal Research, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Surgery, University of Bonn, Bonn, Germany
| | - Peter Henneman
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Genome Diagnostics Laboratory, Department of Human Genetics, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Reproduction and Development, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Mark Löwenberg
- Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Geert D’Haens
- Department of Gastroenterology and Hepatology, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
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Qi J, Hong B, Wang S, Wang J, Fang J, Sun R, Nie J, Wang H. Plasma cell-free DNA methylome-based liquid biopsy for accurate gastric cancer detection. Cancer Sci 2024. [PMID: 39038922 DOI: 10.1111/cas.16284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 07/01/2024] [Accepted: 07/02/2024] [Indexed: 07/24/2024] Open
Abstract
Early detection plays a critical role in mitigating mortality rates linked to gastric cancer. However, current clinical screening methods exhibit suboptimal efficacy. Methylation alterations identified from cell-free DNA (cfDNA) present a promising biomarker for early cancer detection. Our study focused on identifying gastric cancer-specific markers from cfDNA methylation to facilitate early detection. We enrolled 150 gastric cancer patients and 100 healthy controls in this study, and undertook genome-wide methylation profiling of cfDNA using cell-free methylated DNA immunoprecipitation and high-throughput sequencing. We identified 21 differentially methylated regions (DMRs) between the gastric tumor and nontumor groups using multiple algorithms. Subsequently, using the 21 DMRs, we developed a gastric cancer detection model by random forest algorithm in the discovery set, and validated the model in an independent set. The model was able to accurately discriminate gastric cancer with a sensitivity and specificity of 93.90% and 95.15% in the discovery set, respectively, and 88.38% and 94.23% in the validation set, respectively. These results underscore the efficacy and accuracy of cfDNA-derived methylation markers in distinguishing early stage gastric cancer. This study highlighted the significance of cfDNA methylation alterations in early gastric cancer detection.
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Affiliation(s)
- Jian Qi
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei, China
| | - Bo Hong
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei, China
| | - Shujie Wang
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei, China
| | - Jingyun Wang
- School of Medicine, Anhui University of Science and Technology, Huainan, China
| | - Jinman Fang
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei, China
| | - Ruifang Sun
- Department of Tumor Biobank, Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Jinfu Nie
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China
- Centre for Regenerative Medicine and Health, Hong Kong Institute of Science and Innovation, Chinese Academy of Sciences, Hefei, China
| | - Hongzhi Wang
- Hefei Cancer Hospital of CAS; Institute of Health and Medical Technology, Hefei Institutes of Physical Science, Chinese Academy of Sciences (CAS), Hefei, China
- Science Island Branch, Graduate School of University of Science and Technology of China, Hefei, China
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Kim C, Oh S, Im H, Gim J. Unveiling Bladder Cancer Prognostic Insights by Integrating Patient-Matched Sample and CpG Methylation Analysis. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1175. [PMID: 39064604 PMCID: PMC11279046 DOI: 10.3390/medicina60071175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2024] [Revised: 07/07/2024] [Accepted: 07/17/2024] [Indexed: 07/28/2024]
Abstract
Bladder cancer prognosis remains a pressing clinical challenge, necessitating the identification of novel biomarkers for precise survival prediction and improved quality of life outcomes. This study proposes a comprehensive strategy to uncover key prognostic biomarkers in bladder cancer using DNA methylation analysis and extreme survival pattern observations in matched pairs of cancer and adjacent normal cells. Unlike traditional approaches that overlook cancer heterogeneity by analyzing entire samples, our methodology leverages patient-matched samples to account for this variability. Specifically, DNA methylation profiles from adjacent normal bladder tissue and bladder cancer tissue collected from the same individuals were analyzed to pinpoint critical methylation changes specific to cancer cells while mitigating confounding effects from individual genetic differences. Utilizing differential threshold settings for methylation levels within cancer-associated pathways enabled the identification of biomarkers that significantly impact patient survival. Our analysis identified distinct survival patterns associated with specific CpG sites, underscoring these sites' pivotal roles in bladder cancer outcomes. By hypothesizing and testing the influence of methylation levels on survival, we pinpointed CpG biomarkers that profoundly affect the prognosis. Notably, CpG markers, such as cg16269144 (PRKCZ), cg16624272 (PTK2), cg11304234, and cg26534425 (IL18), exhibited critical methylation thresholds that correlate with patient mortality. This study emphasizes the importance of tailored approaches to enhancing prognostic accuracy and refining therapeutic strategies for bladder cancer patients. The identified biomarkers pave the way for personalized prognostication and targeted interventions, promising advancements in bladder cancer management and patient care.
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Affiliation(s)
- Chanbyeol Kim
- Department of Biomedical Science, Chosun University, Gwangju 61452, Republic of Korea; (C.K.); (S.O.); (H.I.)
- AI Convergence College, Chosun University, Gwangju 61452, Republic of Korea
| | - Sangwon Oh
- Department of Biomedical Science, Chosun University, Gwangju 61452, Republic of Korea; (C.K.); (S.O.); (H.I.)
- AI Convergence College, Chosun University, Gwangju 61452, Republic of Korea
| | - Hamin Im
- Department of Biomedical Science, Chosun University, Gwangju 61452, Republic of Korea; (C.K.); (S.O.); (H.I.)
- AI Convergence College, Chosun University, Gwangju 61452, Republic of Korea
| | - Jungsoo Gim
- Department of Biomedical Science, Chosun University, Gwangju 61452, Republic of Korea; (C.K.); (S.O.); (H.I.)
- AI Convergence College, Chosun University, Gwangju 61452, Republic of Korea
- BK FOUR Department of Integrative Biological Science, Chosun University, Gwangju 61452, Republic of Korea
- Well-Ageing Medicare Institute, Chosun University, Gwangju 61452, Republic of Korea
- Asian Dementia Research Initiative, Chosun University, Gwangju 61452, Republic of Korea
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Yang Y, Liu J, Singer SD, Yan G, Bennet DR, Liu Y, Hily JM, Xu W, Yang Y, Wang X, Zhong GY, Liu Z, An YC, Liu H, Liu Z. Ectopic enhancer-enhancer interactions as causal forces driving RNA-directed DNA methylation in gene regulatory regions. PLANT BIOTECHNOLOGY JOURNAL 2024. [PMID: 39021281 DOI: 10.1111/pbi.14435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/21/2024] [Accepted: 06/27/2024] [Indexed: 07/20/2024]
Abstract
Cis-regulatory elements (CREs) are integral to the spatiotemporal and quantitative expression dynamics of target genes, thus directly influencing phenotypic variation and evolution. However, many of these CREs become highly susceptible to transcriptional silencing when in a transgenic state, particularly when organised as tandem repeats. We investigated the mechanism of this phenomenon and found that three of the six selected flower-specific CREs were prone to transcriptional silencing when in a transgenic context. We determined that this silencing was caused by the ectopic expression of non-coding RNAs (ncRNAs), which were processed into 24-nt small interfering RNAs (siRNAs) that drove RNA-directed DNA methylation (RdDM). Detailed analyses revealed that aberrant ncRNA transcription within the AGAMOUS enhancer (AGe) in a transgenic context was significantly enhanced by an adjacent CaMV35S enhancer (35Se). This particular enhancer is known to mis-activate the regulatory activities of various CREs, including the AGe. Furthermore, an insertion of 35Se approximately 3.5 kb upstream of the AGe in its genomic locus also resulted in the ectopic induction of ncRNA/siRNA production and de novo methylation specifically in the AGe, but not other regions, as well as the production of mutant flowers. This confirmed that interactions between the 35Se and AGe can induce RdDM activity in both genomic and transgenic states. These findings highlight a novel epigenetic role for CRE-CRE interactions in plants, shedding light on the underlying forces driving hypermethylation in transgenes, duplicate genes/enhancers, and repetitive transposons, in which interactions between CREs are inevitable.
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Affiliation(s)
- Yazhou Yang
- College of Horticulture, Northwest A&F University, Yangling, China
| | - Jia Liu
- College of Landscape, Architecture and Life science/Institute of Special Plants, Chongqing University of Arts and Sciences, Yongchuan, Chongqing, China
| | - Stacy D Singer
- Agriculture and Agri-Food Canada, Lethbridge Research and Development Centre, Lethbridge, Alberta, Canada
| | - Guohua Yan
- The Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing, China
| | - Dennis R Bennet
- USDA-ARS Appalachian Fruit Research Station, Kearneysville, West Virginia, USA
| | - Yue Liu
- College of Horticulture, Qingdao Agricultural University, Qingdao, China
| | - Jean-Michel Hily
- Institut Français de la Vigne et du Vin (IFV), Le Grau du Roi, France
| | - Weirong Xu
- School of Food & Wine, Ningxia University, Yinchuan, Ningxia, China
| | - Yingzhen Yang
- USDA-ARS, Grape Genetic Research Unit, Geneva, New York, USA
| | - Xiping Wang
- College of Horticulture, Northwest A&F University, Yangling, China
| | - Gan-Yuan Zhong
- USDA-ARS, Grape Genetic Research Unit, Geneva, New York, USA
| | - Zhongchi Liu
- Department of Cell Biology and Molecular Genetics, University of Maryland, College Park, Maryland, USA
| | - Yong-Chiang An
- USDA-ARS, Plant Genetics Research Unit, Donald Danforth Plant Science Center, St Louis, Missouri, USA
| | - Huawei Liu
- Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China
| | - Zongrang Liu
- USDA-ARS Appalachian Fruit Research Station, Kearneysville, West Virginia, USA
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Jeddi F, Faghfuri E, Mehranfar S, Soozangar N. The common bisulfite-conversion-based techniques to analyze DNA methylation in human cancers. Cancer Cell Int 2024; 24:240. [PMID: 38982390 PMCID: PMC11234524 DOI: 10.1186/s12935-024-03405-2] [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: 01/29/2024] [Accepted: 06/11/2024] [Indexed: 07/11/2024] Open
Abstract
DNA methylation is an important molecular modification that plays a key role in the expression of cancer genes. Evaluation of epigenetic changes, hypomethylation and hypermethylation, in specific genes are applied for cancer diagnosis. Numerous studies have concentrated on describing DNA methylation patterns as biomarkers for cancer diagnosis monitoring and predicting response to cancer therapy. Various techniques for detecting DNA methylation status in cancers are based on sodium bisulfite treatment. According to the application of these methods in research and clinical studies, they have a number of advantages and disadvantages. The current review highlights sodium bisulfite treatment-based techniques, as well as, the advantages, drawbacks, and applications of these methods in the evaluation of human cancers.
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Affiliation(s)
- Farhad Jeddi
- Zoonoses Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
- Department of Genetics and Pathology, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Elnaz Faghfuri
- Digestive Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, Iran
| | - Sahar Mehranfar
- Department of Genetics and Immunology, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran
| | - Narges Soozangar
- Zoonoses Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
- Digestive Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.
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Yang Z, Chen Q, Dong S, Xu P, Zheng W, Mao Z, Qian C, Zheng X, Dai L, Wang C, Shi H, Li J, Yuan J, Yu W, Xu C. Hypermethylated TAGMe as a universal-cancer-only methylation marker and its application in diagnosis and recurrence monitoring of urothelial carcinoma. J Transl Med 2024; 22:608. [PMID: 38956589 PMCID: PMC11218302 DOI: 10.1186/s12967-024-05420-3] [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: 04/03/2024] [Accepted: 06/19/2024] [Indexed: 07/04/2024] Open
Abstract
BACKGROUND Urothelial carcinoma (UC) is the second most common urological malignancy. Despite numerous molecular markers have been evaluated during the past decades, no urothelial markers for diagnosis and recurrence monitoring have shown consistent clinical utility. METHODS The methylation level of tissue samples from public database and clinical collected were analyzed. Patients with UC and benign diseases of the urinary system (BUD) were enrolled to establish TAGMe (TAG of Methylation) assessment in a training cohort (n = 567) using restriction enzyme-based bisulfite-free qPCR. The performance of TAGMe assessment was further verified in the validation cohort (n = 198). Urine samples from 57 UC patients undergoing postoperative surveillance were collected monthly for six months after surgery to assess the TAGMe methylation. RESULTS We identified TAGMe as a potentially novel Universal-Cancer-Only Methylation (UCOM) marker was hypermethylated in multi-type cancers and investigated its application in UC. Restriction enzyme-based bisulfite-free qPCR was used for detection, and the results of which were consistent with gold standard pyrosequencing. Importantly, hypermethylated TAGMe showed excellent sensitivity of 88.9% (95% CI: 81.4-94.1%) and specificity of 90.0% (95% CI: 81.9-95.3%) in efficiently distinguishing UC from BUD patients in urine and also performed well in different clinical scenarios of UC. Moreover, the abnormality of TAGMe as an indicator of recurrence might precede clinical recurrence by three months to one year, which provided an invaluable time window for timely and effective intervention to prevent UC upstaging. CONCLUSION TAGMe assessment based on a novel single target in urine is effective and easy to perform in UC diagnosis and recurrence monitoring, which may reduce the burden of cystoscopy. Trial registration ChiCTR2100052507. Registered on 30 October 2021.
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Affiliation(s)
- Zhicong Yang
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital and Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Qing Chen
- Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Shihua Dong
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital and Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Epiprobe Biotechnology Co., Ltd, Shanghai, China
| | - Peng Xu
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital and Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
- Shanghai Epiprobe Biotechnology Co., Ltd, Shanghai, China
| | - Wanxiang Zheng
- Department of Urology, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China
| | - Zhanrui Mao
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital and Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China
| | - Chengchen Qian
- Shanghai Epiprobe Biotechnology Co., Ltd, Shanghai, China
| | - Xiangyi Zheng
- Shanghai Epiprobe Biotechnology Co., Ltd, Shanghai, China
| | - Lihe Dai
- Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Chengyang Wang
- Shanghai Epiprobe Biotechnology Co., Ltd, Shanghai, China
| | - Haoqing Shi
- Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Jing Li
- Department of Bioinformatics, Center for Translational Medicine, Naval Medical University, Shanghai, China
| | - Jianlin Yuan
- Department of Urology, Xijing Hospital, Air Force Medical University, Xi'an, Shaanxi, China.
| | - Wenqiang Yu
- Shanghai Public Health Clinical Center and Department of General Surgery, Huashan Hospital and Cancer Metastasis Institute and Laboratory of RNA Epigenetics, Institutes of Biomedical Sciences, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Chuanliang Xu
- Department of Urology, Changhai Hospital, Naval Medical University, Shanghai, China.
- Department of Urology, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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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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Papadimitriou I. Employing emerging technologies such as motion capture to study the complex interplay between genotype and power-related performance traits. Front Physiol 2024; 15:1407753. [PMID: 38841210 PMCID: PMC11150552 DOI: 10.3389/fphys.2024.1407753] [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: 03/27/2024] [Accepted: 05/06/2024] [Indexed: 06/07/2024] Open
Abstract
Exercise genomics has progressed alongside advancements in molecular genetic technologies that have enhanced our understanding of associations between genes and performance traits. This novel field of research incorporates techniques and tools from epidemiology, molecular genetics, exercise physiology and biostatistics to investigate the complex interplay between genotype and specific quantitative performance traits, such as muscle power output. Here I aimed to illustrate how interdisciplinary training can ensure the effective use of new emerging technologies, such as motion capture, to examine the influence of genetic and epigenetic factors on power-related quantitative performance traits. Furthermore, this study raises awareness about the present research trends in this field, and highlights current gaps and potential future developments. The acquired knowledge will likely have important future implications in the biotech industry, with a focus on gene therapy to combat age-related muscle power decline, personalized medicine and will drive advancements in exercise program design.
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Goldberg DC, Cloud C, Lee SM, Barnes B, Gruber S, Kim E, Pottekat A, Westphal M, McAuliffe L, Majournie E, KalayilManian M, Zhu Q, Tran C, Hansen M, Parker JB, Kohli RM, Porecha R, Renke N, Zhou W. MSA: scalable DNA methylation screening BeadChip for high-throughput trait association studies. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.17.594606. [PMID: 38826316 PMCID: PMC11142114 DOI: 10.1101/2024.05.17.594606] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2024]
Abstract
The Infinium DNA Methylation BeadChips have significantly contributed to population-scale epigenetics research by enabling epigenome-wide trait association discoveries. Here, we design, describe, and experimentally verify a new iteration of this technology, the Methylation Screening Array (MSA), to focus on human trait screening and discovery. This array utilizes extensive data from previous Infinium platform-based epigenome-wide association studies (EWAS). It incorporates knowledge from the latest single-cell and cell type-resolution whole genome methylome profiles. The MSA is engineered to achieve scalable screening of epigenetics-trait association in an ultra-high sample throughput. Our design encompassed diverse human trait associations, including those with genetic, cellular, environmental, and demographical variables and human diseases such as genetic, neurodegenerative, cardiovascular, infectious, and immune diseases. We comprehensively evaluated this array's reproducibility, accuracy, and capacity for cell-type deconvolution and supporting 5-hydroxymethylation profiling in diverse human tissues. Our first atlas data using this platform uncovered the complex chromatin and tissue contexts of DNA modification variations and genetic variants linked to human phenotypes.
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Affiliation(s)
- David C Goldberg
- Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia, PA, 19104, USA
| | - Cameron Cloud
- Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia, PA, 19104, USA
| | - Sol Moe Lee
- Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia, PA, 19104, USA
| | | | | | - Elliot Kim
- Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia, PA, 19104, USA
| | | | | | | | | | | | | | | | | | - Jared B Parker
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Rahul M Kohli
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | | | | | - Wanding Zhou
- Center for Computational and Genomic Medicine, The Children’s Hospital of Philadelphia, PA, 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
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Ishidoya M, Fujita T, Tasaka S, Fujii H. Real-time MBDi-RPA using methyl-CpG binding protein 2: A real-time detection method for simple and rapid estimation of CpG methylation status. Anal Chim Acta 2024; 1302:342486. [PMID: 38580404 DOI: 10.1016/j.aca.2024.342486] [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: 11/17/2023] [Revised: 02/21/2024] [Accepted: 03/14/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Analysis of CpG methylation is informative for cancer diagnosis. Previously, we developed a novel method to discriminate CpG methylation status in target DNA by blocking recombinase polymerase amplification (RPA), an isothermal DNA amplification technique, using methyl-CpG binding domain (MBD) protein 2 (MBD2). The method was named MBD protein interference-RPA (MBDi-RPA). In this study, MBDi-RPA was performed using methyl-CpG binding protein 2 (MeCP2), another MBD family protein, as the blocking agent. RESULTS MBDi-RPA using MeCP2 detected low levels of CpG methylation, showing that it had higher sensitivity than MBDi-RPA using MBD2. We also developed real-time RPA, which enabled rapid analysis of DNA amplification without the need for laborious agarose gel electrophoresis and used it in combination with MBDi-RPA. We termed this method real-time MBDi-RPA. The method using MeCP2 could determine the abundance ratio of CpG-methylated target DNA simply and rapidly, although highly sensitive detection was challenging. SIGNIFICANCE AND NOVELTY Real-time MBDi-RPA using MeCP2 could be potentially useful for estimating CpG methylation status in target DNA prior to more detailed analyses.
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Affiliation(s)
- Mina Ishidoya
- Department of Respiratory Medicine, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori, 036-8562, Japan
| | - Toshitsugu Fujita
- Department of Biochemistry and Genome Biology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori, 036-8562, Japan.
| | - Sadatomo Tasaka
- Department of Respiratory Medicine, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori, 036-8562, Japan
| | - Hodaka Fujii
- Department of Biochemistry and Genome Biology, Hirosaki University Graduate School of Medicine, 5 Zaifu-cho, Hirosaki, Aomori, 036-8562, Japan
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11
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Kim Y, Ko JY, Kong HK, Lee M, Chung W, Lim S, Son D, Oh S, Park JW, Kim DY, Lee M, Han W, Park WY, Yoo KH, Park JH. Hypomethylation of ATP1A1 Is Associated with Poor Prognosis and Cancer Progression in Triple-Negative Breast Cancer. Cancers (Basel) 2024; 16:1666. [PMID: 38730618 PMCID: PMC11083557 DOI: 10.3390/cancers16091666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Revised: 04/15/2024] [Accepted: 04/24/2024] [Indexed: 05/13/2024] Open
Abstract
Dysregulated DNA methylation in cancer is critical in the transcription machinery associated with cancer progression. Triple-negative breast cancer (TNBC) is the most aggressive breast cancer subtype, but no treatment targeting TNBC biomarkers has yet been developed. To identify specific DNA methylation patterns in TNBC, methyl-binding domain protein 2 (MBD) sequencing data were compared in TNBC and the three other major breast cancer subtypes. Integrated analysis of DNA methylation and gene expression identified a gene set showing a correlation between DNA methylation and gene expression. ATPase Na+/K+-transporting subunit alpha 1 (ATP1A1) was found to be specifically hypomethylated in the coding sequence (CDS) region and to show increased expression in TNBC. The Cancer Genome Atlas (TCGA) database also showed that hypomethylation and high expression of ATP1A1 were strongly associated with poor survival in patients with TNBC. Furthermore, ATP1A1 knockdown significantly reduced the viability and tumor-sphere formation of TNBC cells. These results suggest that the hypomethylation and overexpression of ATP1A1 could be a prognostic marker in TNBC and that the manipulation of ATP1A1 expression could be a therapeutic target in this disease.
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Affiliation(s)
- Yesol Kim
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
| | - Je Yeong Ko
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
| | - Hyun Kyung Kong
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
| | - Minyoung Lee
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
| | - Woosung Chung
- Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Republic of Korea
| | - Sera Lim
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
| | - Dasom Son
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
| | - Sumin Oh
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
| | - Jee Won Park
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
| | - Do Yeon Kim
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
| | - Minju Lee
- Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Wonshik Han
- Cancer Research Institute, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
- Department of Surgery, Seoul National University College of Medicine, Seoul 03080, Republic of Korea
| | - Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center, Seoul 06351, Republic of Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul 06355, Republic of Korea
- Department of Molecular Cell Biology, Sungkyunkwan University School of Medicine, Suwon 16419, Republic of Korea
| | - Kyung Hyun Yoo
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
| | - Jong Hoon Park
- Department of Biological Science, Research Institute of Women’s Health, Sookmyung Women’s University, Seoul 04310, Republic of Korea; (Y.K.); (J.Y.K.)
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12
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Lee SM, Loo C, Prasasya R, Bartolomei M, Kohli R, Zhou W. Low-input and single-cell methods for Infinium DNA methylation BeadChips. Nucleic Acids Res 2024; 52:e38. [PMID: 38407446 PMCID: PMC11040145 DOI: 10.1093/nar/gkae127] [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: 09/11/2023] [Revised: 01/29/2024] [Accepted: 02/10/2024] [Indexed: 02/27/2024] Open
Abstract
The Infinium BeadChip is the most widely used DNA methylome assay technology for population-scale epigenome profiling. However, the standard workflow requires over 200 ng of input DNA, hindering its application to small cell-number samples, such as primordial germ cells. We developed experimental and analysis workflows to extend this technology to suboptimal input DNA conditions, including ultra-low input down to single cells. DNA preamplification significantly enhanced detection rates to over 50% in five-cell samples and ∼25% in single cells. Enzymatic conversion also substantially improved data quality. Computationally, we developed a method to model the background signal's influence on the DNA methylation level readings. The modified detection P-value calculation achieved higher sensitivities for low-input datasets and was validated in over 100 000 public diverse methylome profiles. We employed the optimized workflow to query the demethylation dynamics in mouse primordial germ cells available at low cell numbers. Our data revealed nuanced chromatin states, sex disparities, and the role of DNA methylation in transposable element regulation during germ cell development. Collectively, we present comprehensive experimental and computational solutions to extend this widely used methylation assay technology to applications with limited DNA.
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Affiliation(s)
- Sol Moe Lee
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, PA 19104, USA
| | - Christian E Loo
- Graduate Group in Biochemistry and Biophysics, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Rexxi D Prasasya
- Department of Cell and Developmental Biology, Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Marisa S Bartolomei
- Department of Cell and Developmental Biology, Epigenetics Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA
| | - Rahul M Kohli
- Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Wanding Zhou
- Center for Computational and Genomic Medicine, The Children's Hospital of Philadelphia, PA 19104, USA
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
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13
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Zhang Q, Hu J, Li DL, Qiu JG, Jiang BH, Zhang CY. Construction of single-molecule counting-based biosensors for DNA-modifying enzymes: A review. Anal Chim Acta 2024; 1298:342395. [PMID: 38462345 DOI: 10.1016/j.aca.2024.342395] [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: 12/10/2023] [Revised: 02/18/2024] [Accepted: 02/19/2024] [Indexed: 03/12/2024]
Abstract
DNA-modifying enzymes act as critical regulators in a wide range of genetic functions (e.g., DNA damage & repair, DNA replication), and their aberrant expression may interfere with regular genetic functions and induce various malignant diseases including cancers. DNA-modifying enzymes have emerged as the potential biomarkers in early diagnosis of diseases and new therapeutic targets in genomic research. Consequently, the development of highly specific and sensitive biosensors for the detection of DNA-modifying enzymes is of great importance for basic biomedical research, disease diagnosis, and drug discovery. Single-molecule fluorescence detection has been widely implemented in the field of molecular diagnosis due to its simplicity, high sensitivity, visualization capability, and low sample consumption. In this paper, we summarize the recent advances in single-molecule counting-based biosensors for DNA-modifying enzyme (i.e, alkaline phosphatase, DNA methyltransferase, DNA glycosylase, flap endonuclease 1, and telomerase) assays in the past four years (2019 - 2023). We highlight the principles and applications of these biosensors, and give new insight into the future challenges and perspectives in the development of single-molecule counting-based biosensors.
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Affiliation(s)
- Qian Zhang
- Translational Medicine Center, The First Affiliated Hospital of Zhengzhou University, The Academy of Medical Sciences, Zhengzhou University, Zhengzhou, 450052, Henan, China; College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, 250014, China
| | - Juan Hu
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Dong-Ling Li
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China
| | - Jian-Ge Qiu
- Translational Medicine Center, The First Affiliated Hospital of Zhengzhou University, The Academy of Medical Sciences, Zhengzhou University, Zhengzhou, 450052, Henan, China
| | - Bing-Hua Jiang
- Translational Medicine Center, The First Affiliated Hospital of Zhengzhou University, The Academy of Medical Sciences, Zhengzhou University, Zhengzhou, 450052, Henan, China.
| | - Chun-Yang Zhang
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China.
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14
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Adampourezare M, Nikzad B, Amini M, Sheibani N. Fluorimetric detection of DNA methylation by cerium oxide nanoparticles for early cancer diagnosis. Heliyon 2024; 10:e28695. [PMID: 38586346 PMCID: PMC10998132 DOI: 10.1016/j.heliyon.2024.e28695] [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: 03/30/2023] [Revised: 03/21/2024] [Accepted: 03/22/2024] [Indexed: 04/09/2024] Open
Abstract
In this study, a very sensitive fluorescence nano-biosensor was developed using CeO2 nanoparticles for the rapid detection of DNA methylation. The characteristics of CeO2 nanoparticles were determined by transmission electron microscopy (TEM), scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), X-ray diffraction (XRD) spectroscopy, UV-visible spectroscopy, and fluorescence spectroscopy. The CeO2 nanoparticles were reacted with a single-stranded DNA (ssDNA) probe, and then methylated and unmethylated target DNAs hybridized with an ssDNA probe, and the fluorescence emission was measured. Upon adding the target unmethylated and methylated ssDNA, the fluorescence intensity increased in the linear range of concentration from 2 × 10-13 - 10-18 M. The limit of detection (LOD) was 1.597 × 10-6 M for methylated DNA and 1.043 × 10-6 M for unmethylated DNA. The fluorescence emission intensity of methylated sequences was higher than of that unmethylated sequences. The fabricated DNA nanobiosensor showed a fluorescence emission at 420 nm with an excitation wavelength of 280 nm. The impact of CeO2 binding on methylated and unmethylated DNA was further demonstrated by agarose gel electrophoresis. Finally, the actual sample analysis suggested that the nanobiosensor could have practical applications for detecting methylation in the human plasma samples.
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Affiliation(s)
- Mina Adampourezare
- Research Center of Bioscience and Biotechnology, University of Tabriz, Tabriz, Iran
| | - Behzad Nikzad
- Research Center of Bioscience and Biotechnology, University of Tabriz, Tabriz, Iran
| | - Mojtaba Amini
- Department of Inorganic Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
| | - Nader Sheibani
- Department of Ophthalmology and Visual Sciences, University of Wisconsin School of Medicine and Public Health, Madison WI 53705, USA
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15
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Zhou W, Johnson BK, Morrison J, Beddows I, Eapen J, Katsman E, Semwal A, Habib W, Heo L, Laird P, Berman B, Triche T, Shen H. BISCUIT: an efficient, standards-compliant tool suite for simultaneous genetic and epigenetic inference in bulk and single-cell studies. Nucleic Acids Res 2024; 52:e32. [PMID: 38412294 PMCID: PMC11014253 DOI: 10.1093/nar/gkae097] [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: 05/22/2023] [Revised: 01/23/2024] [Accepted: 02/08/2024] [Indexed: 02/29/2024] Open
Abstract
Data from both bulk and single-cell whole-genome DNA methylation experiments are under-utilized in many ways. This is attributable to inefficient mapping of methylation sequencing reads, routinely discarded genetic information, and neglected read-level epigenetic and genetic linkage information. We introduce the BISulfite-seq Command line User Interface Toolkit (BISCUIT) and its companion R/Bioconductor package, biscuiteer, for simultaneous extraction of genetic and epigenetic information from bulk and single-cell DNA methylation sequencing. BISCUIT's performance, flexibility and standards-compliant output allow large, complex experimental designs to be characterized on clinical timescales. BISCUIT is particularly suited for processing data from single-cell DNA methylation assays, with its excellent scalability, efficiency, and ability to greatly enhance mappability, a key challenge for single-cell studies. We also introduce the epiBED format for single-molecule analysis of coupled epigenetic and genetic information, facilitating the study of cellular and tissue heterogeneity from DNA methylation sequencing.
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Affiliation(s)
- Wanding Zhou
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Benjamin K Johnson
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Jacob Morrison
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Ian Beddows
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - James Eapen
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Efrat Katsman
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel
| | - Ayush Semwal
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Walid Abi Habib
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Lyong Heo
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Peter W Laird
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Benjamin P Berman
- Department of Developmental Biology and Cancer Research, Institute for Medical Research Israel-Canada, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9112102, Israel
| | - Timothy J Triche
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
| | - Hui Shen
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI 49503, USA
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16
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Dai L, Johnson-Buck A, Laird PW, Tewari M, Walter NG. Ultrasensitive amplification-free quantification of a methyl CpG-rich cancer biomarker by single-molecule kinetic fingerprinting. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.06.587997. [PMID: 38645159 PMCID: PMC11030368 DOI: 10.1101/2024.04.06.587997] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
The most well-studied epigenetic marker in humans is the 5-methyl modification of cytosine in DNA, which has great potential as a disease biomarker in liquid biopsies of cell-free DNA. Currently, quantification of DNA methylation relies heavily on bisulfite conversion followed by PCR amplification and NGS or microarray analysis. PCR is subject to potential bias in differential amplification of bisulfite-converted methylated versus unmethylated sequences. Here, we combine bisulfite conversion with single-molecule kinetic fingerprinting to develop an amplification-free assay for DNA methylation at the branched-chain amino acid transaminase 1 (BCAT1) promoter. Our assay selectively responds to methylated sequences with a limit of detection below 1 fM and a specificity of 99.9999%. Evaluating complex genomic DNA matrices, we reliably distinguish 2-5% DNA methylation at the BCAT1 promoter in whole blood DNA from completely unmethylated whole-genome amplified DNA. Taken together, these results demonstrate the feasibility and sensitivity of our amplification-free, single-molecule quantification approach to improve the early detection of methylated cancer DNA biomarkers.
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Affiliation(s)
- Liuhan Dai
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
- Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI 48109, USA
| | - Alexander Johnson-Buck
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
| | - Peter W. Laird
- Department of Epigenetics, Van Andel Institute, Grand Rapids, MI, 49503, USA
| | - Muneesh Tewari
- Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI 48109, USA
- Department of Internal Medicine, Division of Hematology/Oncology, University of Michigan, Ann Arbor, MI 48109, USA
| | - Nils G. Walter
- Single Molecule Analysis Group, Department of Chemistry, University of Michigan, Ann Arbor, MI 48109, USA
- Center for RNA Biomedicine, University of Michigan, Ann Arbor, MI 48109, USA
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17
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Friedemann M, Jandeck C, Tautz L, Gutewort K, von Rein L, Sukocheva O, Fuessel S, Menschikowski M. Blood-Based DNA Methylation Analysis by Multiplexed OBBPA-ddPCR to Verify Indications for Prostate Biopsies in Suspected Prostate Cancer Patients. Cancers (Basel) 2024; 16:1324. [PMID: 38611002 PMCID: PMC11010987 DOI: 10.3390/cancers16071324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
Current prostate carcinoma (PCa) biomarkers, including total prostate-specific antigen (tPSA), have unsatisfactory diagnostic sensitivity and specificity resulting in overdiagnosis and overtreatment. Previously, we described an optimised bias-based preamplification-digital droplet PCR (OBBPA-ddPCR) technique, which detects tumour DNA in blood-derived cell-free DNA (cfDNA) of cancer patients. The current study investigated the performance of newly developed OBBPA-ddPCR-based biomarkers. Blood plasma samples from healthy individuals (n = 90, controls) and PCa (n = 39) and benign prostatic hyperplasia patients (BPH, n = 40) were analysed. PCa and BPH patients had tPSA values within a diagnostic grey area of 2-15 ng/mL, for whom further diagnostic validation is most crucial. Methylation levels of biomarkers RASSF1A, MIR129-2, NRIP3, and SOX8 were found significantly increased in PCa patients compared to controls. By combining classical PCa risk factors (percentage of free PSA compared to tPSA (QfPSA) and patient's age) with cfDNA-based biomarkers, we developed PCa risk scores with improved sensitivity and specificity compared to established tPSA and QfPSA single-marker analyses. The diagnostic specificity was increased to 70% with 100% sensitivity for clinically significant PCa patients. Thus, prostate biopsies could be avoided for 28 out of 40 BPH patients. In conclusion, the newly developed risk scores may help to confirm the clinical decision and prevent unnecessary prostate biopsy.
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Affiliation(s)
- Markus Friedemann
- Institute of Clinical Chemistry and Laboratory Medicine, Medical Faculty Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstr. 74, 01307 Dresden, Germany; (C.J.); (K.G.); (L.v.R.)
| | - Carsten Jandeck
- Institute of Clinical Chemistry and Laboratory Medicine, Medical Faculty Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstr. 74, 01307 Dresden, Germany; (C.J.); (K.G.); (L.v.R.)
| | - Lars Tautz
- Joint Practice of Urology “Am Blauen Wunder”, Schillerplatz 2, 01309 Dresden, Germany
| | - Katharina Gutewort
- Institute of Clinical Chemistry and Laboratory Medicine, Medical Faculty Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstr. 74, 01307 Dresden, Germany; (C.J.); (K.G.); (L.v.R.)
| | - Lisa von Rein
- Institute of Clinical Chemistry and Laboratory Medicine, Medical Faculty Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstr. 74, 01307 Dresden, Germany; (C.J.); (K.G.); (L.v.R.)
| | - Olga Sukocheva
- Department of Hepatology, Royal Adelaide Hospital, Port Rd., Adelaide, SA 5000, Australia;
| | - Susanne Fuessel
- Clinic of Urology, Carl Gustav Carus University Hospital, TUD Dresden University of Technology, Fetscherstr. 74, 01307 Dresden, Germany;
| | - Mario Menschikowski
- Institute of Clinical Chemistry and Laboratory Medicine, Medical Faculty Carl Gustav Carus, TUD Dresden University of Technology, Fetscherstr. 74, 01307 Dresden, Germany; (C.J.); (K.G.); (L.v.R.)
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18
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Wu Q, Yu Y, Chen M, Long J, Yang X. A label-free fluorescence sensing strategy based on GlaI-assisted EXPAR for rapid and accurate quantification of human methyltranferase activity. Talanta 2024; 269:125456. [PMID: 38061202 DOI: 10.1016/j.talanta.2023.125456] [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: 04/25/2023] [Revised: 09/23/2023] [Accepted: 11/20/2023] [Indexed: 01/05/2024]
Abstract
DNA methylation plays an important role in epigenetic modification. DNA methyltransferase (DNMT) is essential in the DNA methylation process, and its abnormal expression is closely related to cancer. In this study, we propose a novel biosensor platform (DS-GlaI-EXPAR) that combines hemi-methylated double-stranded DNA (dsDNA) as the substrate for DNMT1 with GlaI-assisted isothermal exponential amplification reaction (EXPAR) for rapid, simple, and sensitive detection of DNMT1 activity. The hemi-methylated dsDNA is fully methylated by DNMT1, and GlaI recognizes and cleaves the fully methylated sequence, generating terminal fragments that trigger EXPAR for efficient signal amplification. Whereas hemi-methylated dsDNA without DNMT1 will keep intact and cannot initiate EXPAR. DNMT1 activity can therefore be sensitively quantified by the real-time fluorescence signal of the DS-GlaI-EXPAR platform. The high-efficiency amplification of EXPAR and the recognition of GlaI enable the platform to overcome the inherent cumbersome and time-consuming shortcomings of traditional methods while meeting specificity and sensitivity. This DS-GlaI-EXPAR platform offers an impressively low limit of detection of 0.86 pg/μL and the entire detection process can be completed in a short time of 2.5 h in a single tube. Furthermore, DNMT1 activity detected by this platform in MCF-7 cells was significantly higher than that of HEK293 cells, and the inhibition of Apt. #9 was verified. This DNMT1 activity detection platform is very convenient and effective for the discovery of inhibitors and early cancer diagnosis.
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Affiliation(s)
- Qiaomin Wu
- Clinical Laboratory, Dongyang People's Hospital, Dongyang, Zhejiang, 322100, China; Key Laboratory of Medical Laboratory Diagnostics of the Education Ministry, College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Yang Yu
- Key Laboratory of Medical Laboratory Diagnostics of the Education Ministry, College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Mengqi Chen
- Key Laboratory of Medical Laboratory Diagnostics of the Education Ministry, College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Jinyan Long
- Key Laboratory of Medical Laboratory Diagnostics of the Education Ministry, College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China
| | - Xiaolan Yang
- Key Laboratory of Medical Laboratory Diagnostics of the Education Ministry, College of Laboratory Medicine, Chongqing Medical University, Chongqing, 400016, China.
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19
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Torresan S, de Scordilli M, Bortolot M, Di Nardo P, Foltran L, Fumagalli A, Guardascione M, Ongaro E, Puglisi F. Liquid biopsy in colorectal cancer: Onward and upward. Crit Rev Oncol Hematol 2024; 194:104242. [PMID: 38128627 DOI: 10.1016/j.critrevonc.2023.104242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Revised: 11/20/2023] [Accepted: 12/15/2023] [Indexed: 12/23/2023] Open
Abstract
Colorectal cancer (CRC) remains a leading cause of cancer-related deaths worldwide. In recent years, liquid biopsy has emerged as one of the most interesting areas of research in oncology, leading to innovative trials and practical changes in all aspects of CRC management. RNAs and cell free DNA (cfDNA) methylation are emerging as promising biomarkers for early diagnosis. Post-surgical circulating tumour DNA (ctDNA) can aid in evaluating minimal residual disease and personalising adjuvant treatment. In rectal cancer, ctDNA could improve response assessment to neoadjuvant therapy and risk stratification, especially in the era of organ-preservation trials. In the advanced setting, ctDNA analysis offers the opportunity to monitor treatment response and identify driver and resistance mutations more comprehensively than traditional tissue analysis, providing prognostic and predictive information. The aim of this review is to provide a detailed overview of the clinical applications and future perspectives of liquid biopsy in CRC.
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Affiliation(s)
- Sara Torresan
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; Department of Medicine, University of Udine, 33100 Udine, Italy
| | - Marco de Scordilli
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; Department of Medicine, University of Udine, 33100 Udine, Italy.
| | - Martina Bortolot
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; Department of Medicine, University of Udine, 33100 Udine, Italy
| | - Paola Di Nardo
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Luisa Foltran
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Arianna Fumagalli
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Michela Guardascione
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Elena Ongaro
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy
| | - Fabio Puglisi
- Department of Medical Oncology, Centro di Riferimento Oncologico di Aviano (CRO), IRCCS, 33081 Aviano, Italy; Department of Medicine, University of Udine, 33100 Udine, Italy
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Orlacchio A, Muzyka S, Gonda TA. Epigenetic therapeutic strategies in pancreatic cancer. INTERNATIONAL REVIEW OF CELL AND MOLECULAR BIOLOGY 2024; 383:1-40. [PMID: 38359967 DOI: 10.1016/bs.ircmb.2023.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal solid malignancies, characterized by its aggressiveness and metastatic potential, with a 5-year survival rate of only 8-11%. Despite significant improvements in PDAC treatment and management, therapeutic alternatives are still limited. One of the main reasons is its high degree of intra- and inter-individual tumor heterogeneity which is established and maintained through a complex network of transcription factors and epigenetic regulators. Epigenetic drugs, have shown promising preclinical results in PDAC and are currently being evaluated in clinical trials both for their ability to sensitize cancer cells to cytotoxic drugs and to counteract the immunosuppressive characteristic of PDAC tumor microenvironment. In this review, we discuss the current status of epigenetic treatment strategies to overcome molecular and cellular PDAC heterogeneity in order to improve response to therapy.
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Affiliation(s)
- Arturo Orlacchio
- Division of Gastroenterology and Hepatology, New York University, New York, NY, United States
| | - Stephen Muzyka
- Division of Gastroenterology and Hepatology, New York University, New York, NY, United States
| | - Tamas A Gonda
- Division of Gastroenterology and Hepatology, New York University, New York, NY, United States.
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21
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Liu J, Huang B, Ding F, Li Y. Environment factors, DNA methylation, and cancer. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2023; 45:7543-7568. [PMID: 37715840 DOI: 10.1007/s10653-023-01749-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 08/30/2023] [Indexed: 09/18/2023]
Abstract
Today, the rapid development of science and technology and the rapid change in economy and society are changing the way of life of human beings and affecting the natural, living, working, and internal environment on which human beings depend. At the same time, the global incidence of cancer has increased significantly yearly, and cancer has become the number one killer that threatens human health. Studies have shown that diet, living habits, residential environment, mental and psychological factors, intestinal flora, genetics, social factors, and viral and non-viral infections are closely related to human cancer. However, the molecular mechanisms of the environment and cancer development remain to be further explored. In recent years, DNA methylation has become a key hub and bridge for environmental and cancer research. Some environmental factors can alter the hyper/hypomethylation of human cancer suppressor gene promoters, proto-oncogene promoters, and the whole genome, causing low/high expression or gene mutation of related genes, thereby exerting oncogenic or anticancer effects. It is expected to develop early warning markers of cancer environment based on DNA methylation, thereby providing new methods for early detection of cancers, diagnosis, and targeted therapy. This review systematically expounds on the internal mechanism of environmental factors affecting cancer by changing DNA methylation, aiming to help establish the concept of cancer prevention and improve people's health.
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Affiliation(s)
- Jie Liu
- Department of General Surgery, Second Hospital of Lanzhou University, Lan Zhou, China
- Key Laboratory of the Digestive System Tumors of Gansu Province, Second Hospital of Lanzhou University, Lan Zhou, China
| | - Binjie Huang
- Department of General Surgery, Second Hospital of Lanzhou University, Lan Zhou, China
- Key Laboratory of the Digestive System Tumors of Gansu Province, Second Hospital of Lanzhou University, Lan Zhou, China
| | - Feifei Ding
- Department of General Surgery, Second Hospital of Lanzhou University, Lan Zhou, China
- Key Laboratory of the Digestive System Tumors of Gansu Province, Second Hospital of Lanzhou University, Lan Zhou, China
| | - Yumin Li
- Department of General Surgery, Second Hospital of Lanzhou University, Lan Zhou, China.
- Key Laboratory of the Digestive System Tumors of Gansu Province, Second Hospital of Lanzhou University, Lan Zhou, China.
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22
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Lee SM, Loo CE, Prasasya RD, Bartolomei MS, Kohli RM, Zhou W. Low-input and single-cell methods for Infinium DNA methylation BeadChips. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.18.558252. [PMID: 37786695 PMCID: PMC10541608 DOI: 10.1101/2023.09.18.558252] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/04/2023]
Abstract
The Infinium BeadChip is the most widely used DNA methylome assay technology for population-scale epigenome profiling. However, the standard workflow requires over 200 ng of input DNA, hindering its application to small cell-number samples, such as primordial germ cells. We developed experimental and analysis workflows to extend this technology to suboptimal input DNA conditions, including ultra-low input down to single cells. DNA preamplification significantly enhanced detection rates to over 50% in five-cell samples and ∼25% in single cells. Enzymatic conversion also substantially improved data quality. Computationally, we developed a method to model the background signal's influence on the DNA methylation level readings. The modified detection p -values calculation achieved higher sensitivities for low-input datasets and was validated in over 100,000 public datasets with diverse methylation profiles. We employed the optimized workflow to query the demethylation dynamics in mouse primordial germ cells available at low cell numbers. Our data revealed nuanced chromatin states, sex disparities, and the role of DNA methylation in transposable element regulation during germ cell development. Collectively, we present comprehensive experimental and computational solutions to extend this widely used methylation assay technology to applications with limited DNA.
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23
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Lu CY, Hsiao CY, Peng PJ, Huang SC, Chuang MR, Su HJ, Huang KW. DNA Methylation Biomarkers as Prediction Tools for Therapeutic Response and Prognosis in Intermediate-Stage Hepatocellular Carcinoma. Cancers (Basel) 2023; 15:4465. [PMID: 37760434 PMCID: PMC10527266 DOI: 10.3390/cancers15184465] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 08/29/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
INTRODUCTION Alfa-fetoprotein (AFP), as the main serum tumor marker of hepatocellular carcinoma (HCC), is limited in terms of specificity and ability to predict outcomes. This study investigated the clinical utility of DNA methylation biomarkers to predict therapeutic responses and prognosis in intermediate-stage HCC. METHODS This study enrolled 72 patients with intermediate-stage HCC who underwent locoregional therapy (LRT) between 2020 and 2021. The immediate therapeutic response and disease status during a two-year follow-up were recorded. Analysis was performed on 10 selected DNA methylation biomarkers via pyrosequencing analysis of plasma collected before and after LRT. RESULTS Analysis was performed on 53 patients with complete responses and 19 patients with disease progression after LRT. The mean follow-up duration was 2.4 ± 0.6 years. A methylation prediction model for tumor response (MMTR) and a methylation prediction model for early progression (MMEP) were constructed. The area under the curve (AUC) for sensitivity and specificity of MMTR was 0.79 for complete response and 0.759 for overall survival. The corresponding AUCs for sensitivity and specificity of AFP and protein induced by vitamin K absence-II (PIVKA-II) were 0.717 and 0.708, respectively. Note that the MMTR index was the only significant predictor in multivariate analysis. The AUC for sensitivity and specificity of the MMEP in predicting early progression was 0.79. The corresponding AUCs for sensitivity and specificity of AFP and PIVKA-II were 0.758 and 0.714, respectively. Multivariate analysis revealed that platelet count, beyond up-to-7 criteria, and the MMEP index were strongly correlated with early tumor progression. Combining the indexes and serum markers further improved the predictive accuracy (AUC = 0.922). Multivariate analysis revealed the MMEP index was the only independent risk factor for overall survival. DISCUSSION/CONCLUSIONS This study indicates that these methylation markers could potentially outperform current serum markers in terms of accuracy and reliability in assessing treatment response and predicting outcomes. Combining methylation markers and serum markers further improved predictive accuracy, indicating that a multi-marker approach may be more effective in clinical practice. These findings suggest that DNA methylation biomarkers may be a useful tool for managing intermediate-stage HCC patients and guiding personalized treatment, particularly for those who are at high risk for close surveillance or adjuvant treatment after LRT.
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Affiliation(s)
- Chang-Yi Lu
- Phalanx Biotech Group, Hsinchu 300, Taiwan; (C.-Y.L.); (S.-C.H.); (H.-J.S.)
| | - Chih-Yang Hsiao
- Department of Surgery and Hepatitis Research Center, National Taiwan University Hospital, Taipei 100, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
- Department of Traumatology, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Pey-Jey Peng
- Phalanx Biotech Group, Hsinchu 300, Taiwan; (C.-Y.L.); (S.-C.H.); (H.-J.S.)
| | - Shao-Chang Huang
- Phalanx Biotech Group, Hsinchu 300, Taiwan; (C.-Y.L.); (S.-C.H.); (H.-J.S.)
| | - Meng-Rong Chuang
- Phalanx Biotech Group, Hsinchu 300, Taiwan; (C.-Y.L.); (S.-C.H.); (H.-J.S.)
| | - Hung-Ju Su
- Phalanx Biotech Group, Hsinchu 300, Taiwan; (C.-Y.L.); (S.-C.H.); (H.-J.S.)
| | - Kai-Wen Huang
- Department of Surgery and Hepatitis Research Center, National Taiwan University Hospital, Taipei 100, Taiwan
- Graduate Institute of Clinical Medicine, College of Medicine, National Taiwan University, Taipei 100, Taiwan
- Center for Functional Image and Interventional Therapy, National Taiwan University, Taipei 100, Taiwan
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Chakraborty S, Ramasubbu K, Banerjee M, Balaji MP, Vinayagam Y, V DR. A systematic review on the molecular and clinical association between Human Papillomavirus and Human Immunodeficiency Virus co-infection in Head, Neck and Oral squamous cell carcinoma. Rev Med Virol 2023; 33:e2462. [PMID: 37280764 DOI: 10.1002/rmv.2462] [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: 03/27/2023] [Revised: 04/27/2023] [Accepted: 05/23/2023] [Indexed: 06/08/2023]
Abstract
Head and neck cancer, one of the most commonly prevalent malignancies globally is a complex category of tumours that comprises cancers of the oral cavity, pharynx, and larynx. A specific subgroup of such cancers has been found with some unique chromosomal, therapeutic, and epidemiologic traits with the possibility of affecting via co-infection. About 25% of all head and neck cancers in the population are human papillomavirus infection (HPV)-associated, typically developing in the oropharynx, which comprises the tonsils. In the period of efficient combined antiviral treatment, HPV-positive oral cancers are also becoming a significant contributor to illness and fatality for Human Immunodeficiency Virus (HIV)-infected persons. Although the prevalence and historical background of oral HPV transmission are not thoroughly understood, it seems likely that oral HPV transmission is relatively frequent in HIV-infected people when compared to the overall population. Therefore, there is a need to understand the mechanisms leading to this co-infection, as there is very little research related to that. Hence, this study mainly focus on the therapeutical and biomedical analysis of HPV and HIV co-infection in the above-mentioned cancer, including oral squamous cell carcinoma.
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Affiliation(s)
- Shreya Chakraborty
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India
| | - Kanagavalli Ramasubbu
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India
| | - Manosi Banerjee
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India
| | - Menaka Priya Balaji
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India
| | - Yamini Vinayagam
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India
| | - Devi Rajeswari V
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Vellore, Tamil Nadu, India
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Iluz A, Maoz M, Lavi N, Charbit H, Or O, Olshinka N, Demma JA, Adileh M, Wygoda M, Blumenfeld P, Gliner-Ron M, Azraq Y, Moss J, Peretz T, Eden A, Zick A, Lavon I. Rapid Classification of Sarcomas Using Methylation Fingerprint: A Pilot Study. Cancers (Basel) 2023; 15:4168. [PMID: 37627196 PMCID: PMC10453223 DOI: 10.3390/cancers15164168] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 08/27/2023] Open
Abstract
Sarcoma classification is challenging and can lead to treatment delays. Previous studies used DNA aberrations and machine-learning classifiers based on methylation profiles for diagnosis. We aimed to classify sarcomas by analyzing methylation signatures obtained from low-coverage whole-genome sequencing, which also identifies copy-number alterations. DNA was extracted from 23 suspected sarcoma samples and sequenced on an Oxford Nanopore sequencer. The methylation-based classifier, applied in the nanoDx pipeline, was customized using a reference set based on processed Illumina-based methylation data. Classification analysis utilized the Random Forest algorithm and t-distributed stochastic neighbor embedding, while copy-number alterations were detected using a designated R package. Out of the 23 samples encompassing a restricted range of sarcoma types, 20 were successfully sequenced, but two did not contain tumor tissue, according to the pathologist. Among the 18 tumor samples, 14 were classified as reported in the pathology results. Four classifications were discordant with the pathological report, with one compatible and three showing discrepancies. Improving tissue handling, DNA extraction methods, and detecting point mutations and translocations could enhance accuracy. We envision that rapid, accurate, point-of-care sarcoma classification using nanopore sequencing could be achieved through additional validation in a diverse tumor cohort and the integration of methylation-based classification and other DNA aberrations.
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Affiliation(s)
- Aviel Iluz
- Leslie and Michael Gaffin Center for Neuro-Oncology, Hadassah Medical Center and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
- Agnes Ginges Center for Human Neurogenetics, Department of Neurology, Hadassah Medical Center and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Myriam Maoz
- Oncology Department, Sharett Institute of Oncology, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Nir Lavi
- Leslie and Michael Gaffin Center for Neuro-Oncology, Hadassah Medical Center and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
- Agnes Ginges Center for Human Neurogenetics, Department of Neurology, Hadassah Medical Center and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
- Department of Military Medicine and “Tzameret”, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Hanna Charbit
- Leslie and Michael Gaffin Center for Neuro-Oncology, Hadassah Medical Center and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
- Agnes Ginges Center for Human Neurogenetics, Department of Neurology, Hadassah Medical Center and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Omer Or
- Orthopedic Department, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Noam Olshinka
- Orthopedic Department, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Jonathan Abraham Demma
- Surgical Department, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Mohammad Adileh
- Surgical Department, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Marc Wygoda
- Radiotherapy Institute, Sharett Institute of Oncology, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Philip Blumenfeld
- Radiotherapy Institute, Sharett Institute of Oncology, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Masha Gliner-Ron
- Radiology Department, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Yusef Azraq
- Radiology Department, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Joshua Moss
- Oncology Department, Sharett Institute of Oncology, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Tamar Peretz
- Oncology Department, Sharett Institute of Oncology, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Amir Eden
- Department of Genetics, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Aviad Zick
- Oncology Department, Sharett Institute of Oncology, Hadassah Medical Organization and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
| | - Iris Lavon
- Leslie and Michael Gaffin Center for Neuro-Oncology, Hadassah Medical Center and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
- Agnes Ginges Center for Human Neurogenetics, Department of Neurology, Hadassah Medical Center and Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem 9190501, Israel
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26
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Wang T, Li P, Qi Q, Zhang S, Xie Y, Wang J, Liu S, Ma S, Li S, Gong T, Xu H, Xiong M, Li G, You C, Luo Z, Li J, Du L, Wang C. A multiplex blood-based assay targeting DNA methylation in PBMCs enables early detection of breast cancer. Nat Commun 2023; 14:4724. [PMID: 37550304 PMCID: PMC10406825 DOI: 10.1038/s41467-023-40389-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 07/21/2023] [Indexed: 08/09/2023] Open
Abstract
The immune system can monitor tumor development, and DNA methylation is involved in the body's immune response to tumors. In this work, we investigate whether DNA methylation alterations in peripheral blood mononuclear cells (PBMCs) could be used as markers for early detection of breast cancer (BC) from the perspective of tumor immune alterations. We identify four BC-specific methylation markers by combining Infinium 850 K BeadChips, pyrosequencing and targeted bisulfite sequencing. Based on the four methylation markers in PBMCs of BC, we develop an efficient and convenient multiplex methylation-specific quantitative PCR assay for the detection of BC and validate its diagnostic performance in a multicenter cohort. This assay was able to distinguish early-stage BC patients from normal controls, with an AUC of 0.940, sensitivity of 93.2%, and specificity of 90.4%. More importantly, this assay outperformed existing clinical diagnostic methods, especially in the detection of early-stage and minimal tumors.
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Affiliation(s)
- Tiantian Wang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China
| | - Peilong Li
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China
| | - Qiuchen Qi
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China
| | - Shujun Zhang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China
| | - Yan Xie
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China
| | - Jing Wang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China
| | - Shibiao Liu
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China
| | - Suhong Ma
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China
| | - Shijun Li
- Clinical Laboratory, The First Hospital of Dalian Medical University, Dalian, 116011, P. R. China
| | - Tingting Gong
- Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, 230022, P. R. China
| | - Huiting Xu
- Departmemt of Clinical Laboratory Medicine, Affiliated Tumor Hospital of Nantong University, 226361, Jiangsu, China; Medical School of Nantong University, Nantong, 226001, P. R. China
| | - Mengqiu Xiong
- Clinical Laboratory, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, P. R. China
| | - Guanghua Li
- Department of clinical laboratory, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou, 510000, P. R. China
| | - Chongge You
- Laboratory Medicine Center, Lanzhou University Second Hospital, the Second Clinical Medical College of Lanzhou University, Lanzhou, 730000, P. R. China
| | - Zhaofan Luo
- Department of Clinical Laboratory, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, 518107, P. R. China
| | - Juan Li
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China.
| | - Lutao Du
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China.
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Shandong Provincial Key Laboratory of Innovation Technology in Laboratory Medicine, Jinan, 250012, P. R. China.
| | - Chuanxin Wang
- Department of Clinical Laboratory, The Second Hospital of Shandong University, 247 Beiyuan Street, Jinan, 250033, Shandong, China.
- Shandong Engineering & Technology Research Center for Tumor Marker Detection, Jinan, 250033, China.
- Shandong Provincial Clinical Medicine Research Center for Clinical Laboratory, Jinan, 250033, China.
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27
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Gupta H, Inoue H, Nakai Y, Nakayama M, Jones T, Hicks JL, Kumar B, Gurel M, Nelson WG, Marzo AMD, Yegnasubramanian S. Progressive Spreading of DNA Methylation in the GSTP1 Promoter CpG Island across Transitions from Precursors to Invasive Prostate Cancer. Cancer Prev Res (Phila) 2023; 16:449-460. [PMID: 37347938 PMCID: PMC10529302 DOI: 10.1158/1940-6207.capr-22-0485] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 06/08/2023] [Accepted: 06/20/2023] [Indexed: 06/24/2023]
Abstract
Glutathione S-transferase pi 1 (GSTP1) is lowly expressed in normal prostate luminal cells and becomes induced in most proliferative inflammatory atrophy (PIA) lesions. GSTP1 becomes silenced in prostatic intraepithelial neoplasia (PIN) and prostate adenocarcinoma (CaP) via cytosine-phospho-guanine (CpG) island promoter hypermethylation. However, GSTP1 methylation patterns in PIA and PIN, and their relationship to patterns in CaP are poorly understood. We used bisulfite genomic sequencing to examine patterns of GSTP1 promoter CpG island methylation in laser capture microdissected benign, PIA, PIN, and CaP regions from 32 subjects that underwent radical prostatectomy. We analyzed 908 sequence clones across 24 normal epithelium, 37 PIA, 18 PIN, and 23 CaP regions, allowing assessment of 34,863 CpG sites with allelic phasing. Normal and PIA lesions were mostly unmethylated with 0.52 and 1.3% of total CpG sites methylated, respectively. PIN and CaP lesions had greater methylation with 24% and 51% of total CpG sites methylated, respectively. The degree of GSTP1 methylation showed progression from PIA << PIN < CaP. PIN lesions showed more partial methylation compared with CaP lesions. Partially methylated lesions were enriched for methylation changes at AP1 and SP1 transcription factor binding sites. These results demonstrate that methylation density in the GSTP1 CpG island in PIN was intermediate relative to that in normal prostate epithelium/PIA and CaP lesions. These results are consistent with gradual spreading of DNA methylation centered at the SP1/AP1 transcription factor binding sites in precursor lesions, with subsequent spreading of methylation across the entire CpG island in transition to CaP. PREVENTION RELEVANCE DNA hypermethylation at the GSTP1 promoter progressively spreads from being unmethylated in normal prostate to intermediate levels in precursor lesions to extensive methylation in cancer. This molecular progression of GSTP1 promoter methylation patterns in early prostate carcinogenesis could be useful for identification and interception of prostate cancer precursors.
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Affiliation(s)
| | - Hitoshi Inoue
- Sidney Kimmel Comprehensive Cancer Center
- Department of Pathology Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Urology, Ikeda Municipal Hospital, Japan
| | - Yasutomo Nakai
- Sidney Kimmel Comprehensive Cancer Center
- Department of Pathology Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Urology, Osaka International Cancer Institute, Japan
| | - Masashi Nakayama
- Sidney Kimmel Comprehensive Cancer Center
- Department of Pathology Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Urology, Osaka International Cancer Institute, Japan
| | - Tracy Jones
- Sidney Kimmel Comprehensive Cancer Center
- Department of Pathology Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jessica L. Hicks
- Sidney Kimmel Comprehensive Cancer Center
- Department of Pathology Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Meltem Gurel
- Sidney Kimmel Comprehensive Cancer Center
- Department of Urology, Ikeda Municipal Hospital, Japan
- BenevolentAI, London, UK
| | - William G. Nelson
- Sidney Kimmel Comprehensive Cancer Center
- Department of Pathology Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Oncology; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Angelo M. De Marzo
- Sidney Kimmel Comprehensive Cancer Center
- Department of Pathology Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Oncology; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Srinivasan Yegnasubramanian
- Sidney Kimmel Comprehensive Cancer Center
- Department of Pathology Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Oncology; Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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28
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Iyer M, Anand U, Thiruvenkataswamy S, Babu HWS, Narayanasamy A, Prajapati VK, Tiwari CK, Gopalakrishnan AV, Bontempi E, Sonne C, Barceló D, Vellingiri B. A review of chromium (Cr) epigenetic toxicity and health hazards. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 882:163483. [PMID: 37075992 DOI: 10.1016/j.scitotenv.2023.163483] [Citation(s) in RCA: 22] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 03/13/2023] [Accepted: 04/09/2023] [Indexed: 05/03/2023]
Abstract
Carcinogenic metals affect a variety of cellular processes, causing oxidative stress and cancer. The widespread distribution of these metals caused by industrial, residential, agricultural, medical, and technical activities raises concern for adverse environmental and human health effects. Of these metals, chromium (Cr) and its derivatives, including Cr(VI)-induced, are of a public health concern as they cause DNA epigenetic alterations resulting in heritable changes in gene expression. Here, we review and discuss the role of Cr(VI) in epigenetic changes, including DNA methylation, histone modifications, micro-RNA changes, biomarkers of exposure and toxicity, and highlight prevention and intervention strategies to protect susceptible populations from exposure and adverse occupational health effects. Cr(VI) is a ubiquitous toxin linked to cardiovascular, developmental, neurological, and endocrine diseases as well as immunologic disorders and a high number of cancer types in humans following inhalation and skin contact. Cr alters DNA methylation levels as well as global and gene-specific histone posttranslational modifications, emphasizing the importance of considering epigenetics as a possible mechanism underlying Cr(VI) toxicity and cell-transforming ability. Our review shows that determining the levels of Cr(VI) in occupational workers is a crucial first step in shielding health problems, including cancer and other disorders. More clinical and preventative measures are therefore needed to better understand the toxicity and safeguard employees against cancer.
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Affiliation(s)
- Mahalaxmi Iyer
- Department of Biotechnology, Karpagam Academy of Higher Education (Deemed to be University), Coimbatore 641021, India
| | - Uttpal Anand
- Zuckerberg Institute for Water Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede Boqer Campus, Midreshet Ben-Gurion 8499000, Israel
| | - Saranya Thiruvenkataswamy
- Disease Proteomics Laboratory, Department of Zoology, Bharathiar University, Coimbatore 641046, Tamil Nadu, India; Department of Zoology (PG-SF), PSG college of arts and science, Coimbatore 641014, Tamil Nadu, India
| | - Harysh Winster Suresh Babu
- Human Molecular Cytogenetics and Stem Cell Laboratory, Department of Human Genetics and Molecular Biology, Bharathiar University, Coimbatore 641 046, Tamil Nadu, India
| | - Arul Narayanasamy
- Disease Proteomics Laboratory, Department of Zoology, Bharathiar University, Coimbatore 641046, Tamil Nadu, India.
| | - Vijay Kumar Prajapati
- Department of Biochemistry, University of Delhi South Campus, Benito Juarez Road, Dhaula Kuan, New Delhi, India
| | - Chandan Kumar Tiwari
- Research and Development section, Carestream Health Inc., Oakdale, MN 55128, United States of America
| | - Abilash Valsala Gopalakrishnan
- Department of Biomedical Sciences, School of Biosciences and Technology, Vellore Institute of Technology, Tamil Nadu, Vellore 632 014, India
| | - Elza Bontempi
- INSTM and Chemistry for Technologies Laboratory, University of Brescia, via Branze 38, 25123 Brescia, Italy
| | - Christian Sonne
- Department of Ecoscience, Arctic Research Centre, Faculty of Science and Technology, Aarhus University, Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Damià Barceló
- Catalan Institute for Water Research (ICRA-CERCA), H(2)O Building, Scientific and Technological Park of the University of Girona, Emili Grahit 101, Girona 17003, Spain; Water and Soil Quality Research Group, Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA-CSIC), Jordi Girona 1826, Barcelona 08034, Spain
| | - Balachandar Vellingiri
- Stem cell and Regenerative Medicine/Translational Research, North block, Department of Zoology, School of Basic Sciences, Central University of Punjab, Bathinda, Punjab 151401, India.
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Ye Z, Song G, Liang J, Yi S, Gao Y, Jiang H. Optimized screening of DNA methylation sites combined with gene expression analysis to identify diagnostic markers of colorectal cancer. BMC Cancer 2023; 23:617. [PMID: 37400791 DOI: 10.1186/s12885-023-10922-2] [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: 11/12/2022] [Accepted: 05/05/2023] [Indexed: 07/05/2023] Open
Abstract
BACKGROUND The prognosis of patients with colorectal cancer is related to early detection. However, commonly used screening markers lack sensitivity and specificity. In this study, we identified diagnostic methylation sites for colorectal cancer. METHODS After screening the colorectal cancer methylation dataset, diagnostic sites were identified via survival analysis, difference analysis, and ridge regression dimensionality reduction. The correlation between the selected methylation sites and the estimation of immune cell infiltration was analyzed. The accuracy of the diagnosis was verified using different datasets and the 10-fold crossover method. RESULTS According to Gene Ontology, the main enrichment pathways of genes with hypermethylation sites are axon development, axonogenesis, and pattern specification processes. However, the Kyoto Encyclopedia of Genes and Genomes (KEGG) suggests the following main enrichment pathways: neuroactive ligand-receptor interaction, calcium signaling, and cAMP signaling. In The Cancer Genome Atlas (TCGA) and GSE131013 datasets, the area under the curve of cg07628404 was > 0.95. For the NaiveBayes machine model of cg02604524, cg07628404, and cg27364741, the accuracies of 10-fold cross-validation in the GSE131013 and TCGA datasets were 95% and 99.4%, respectively. The survival prognosis of the hypomethylated group (cg02604524, cg07628404, and cg27364741) was better than that of the hypermethylated group. The mutation risk did not differ between the hypermethylated and hypomethylated groups. The correlation coefficient between the three loci and CD4 central memory T cells, hematological stem cells, and other immune cells was not high (p < 0.05). CONCLUSION In cases of colorectal cancer, the main enrichment pathway of genes with hypermethylated sites was axon and nerve development. In the biopsy tissues, the hypermethylation sites were diagnostic for colorectal cancer, and the NaiveBayes machine model of the three loci showed good diagnostic performance. Site (cg02604524, cg07628404, and cg27364741) hypermethylation predicts poor survival for colorectal cancer. Three methylation sites were weakly correlated with individual immune cell infiltration. Hypermethylation sites may be a useful repository for diagnosing colorectal cancer.
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Affiliation(s)
- Zhen Ye
- Department of Health Management, The First Affiliated Hospital, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China
| | - Guangle Song
- Department of Health Management, The First Affiliated Hospital, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China
| | - Jianwei Liang
- Department of General Surgery, Tai'an City Center Hospital, Taian, 271000, Shandong, China
| | - Shuying Yi
- Department of Health Management, The First Affiliated Hospital, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China
| | - Yuqi Gao
- Department of Health Management, The First Affiliated Hospital, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China.
| | - Hanming Jiang
- Department of Health Management, The First Affiliated Hospital, Shandong Provincial Qianfoshan Hospital, Shandong First Medical University, Jinan, 250013, Shandong, China.
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30
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An N, Yang X. Prediction of disease-free survival of N1/2 non-small cell lung cancer after adjuvant chemotherapy by the biomarker RPMB. Heliyon 2023; 9:e18266. [PMID: 37501955 PMCID: PMC10368914 DOI: 10.1016/j.heliyon.2023.e18266] [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: 05/10/2022] [Revised: 07/06/2023] [Accepted: 07/12/2023] [Indexed: 07/29/2023] Open
Abstract
No molecular biomarkers have been proven applicable in clinical practice to identify patients who can benefit from adjuvant chemotherapy in non-small cell lung cancer (NSCLC). In this study, we established a biomarker, RPMB, short for promotor methylation burden of DNA repair genes (DRGs), to identify the subgroup of patients who might benefit from adjuvant chemotherapy in NSCLC. Methylation profiles of 828 NSCLC primary tumors and their clinical information were downloaded from The Cancer Genome Atlas (TCGA) database. The RPMB for each patient after radical resection was calculated and its correlation with the prognosis of NSCLC was extensively investigated. DRGs of NSCLC were much more hypomethylated than the other genes (all p<0.001). RPMB was defined as the ratio of methylated DRGs to the total number of all the DRGs. Patients with higher RPMB values tended to be nonsmokers, had adenocarcinoma, were female and had peripheral tumors. Subgroup analysis of forest plot among different clinical factors showed that high RPMB was significantly correlated to better disease-free survival (DFS) in pathologic N-positive patients after adjuvant chemotherapy (HR = 0.404, n = 62, p = 0.034). Notably, more superior DFS was exhibited in high RPMB NSCLCs with N1 nodal stage compared with those with low RPMB values (HR = 0.348, n = 47, p = 0.043). High RPMB might be used as a potential predictor to identify suitable N-positive NSCLC patients who can benefit from adjuvant chemotherapy after radical surgery.
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Affiliation(s)
- Ning An
- Department of Radiation Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, 266003, China
| | - Xue Yang
- Department of Medical Oncology, The Affiliated Hospital of Qingdao University, Qingdao, Shandong, 266003, China
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31
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Methylation-sensitive transcription-enhanced single-molecule biosensing of DNA methylation in cancer cells and tissues. Anal Chim Acta 2023; 1251:340996. [PMID: 36925287 DOI: 10.1016/j.aca.2023.340996] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2023] [Accepted: 02/21/2023] [Indexed: 02/24/2023]
Abstract
As a major epigenetic modification, DNA methylation participates in diverse cellular functions and emerges as a promising biomarker for disease diagnosis and monitoring. Herein, we developed a methylation-sensitive transcription-enhanced single-molecule biosensor to detect DNA methylation in human cells and tissues. In this biosensor, a rationally designed transcription machine is split into two parts including a promoter sequence (probe-P) for initiating transcription and a template sequence (probe-T) for RNA synthesis. The presence of specific DNA methylation leads to the formation of full-length transcription machine through sequence-specific ligation of probe-P and probe-T, initiating the synthesis of abundant ssRNA transcripts. The resultant ssRNAs can activate CRISPR/Cas12a to catalyze cyclic cleavage of fluorophore- and quencher-dual labeled signal probes, resulting in the recovery of the fluorophore signal that can be quantified by single-molecule detection. Taking advantages of the high-fidelity ligation of split transcription machine and the high efficiency of transcription- and CRISPR/Cas12a cleavage-mediated dual signal amplification, this single-molecule biosensor achieves a low detection limit of 337 aM and high selectivity. Moreover, it can distinguish 0.01% methylation level, and even accurately detect genomic DNA methylation in single cell and clinical samples, providing a powerful tool for epigenetic researches and clinical diagnostics.
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32
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Wang W, Zhu X, Zhang X, Lei C, Zeng Z, Lan X, Cui W, Wang F, Xu S, Zhou J, Wu X, Deng H, Li X, Fan J, Ding Y, Huang Z, Liang L. Recurrence risk assessment for stage III colorectal cancer based on five methylation biomarkers in plasma cell-free DNA. J Pathol 2023; 259:376-387. [PMID: 36573552 DOI: 10.1002/path.6047] [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: 06/18/2022] [Revised: 11/20/2022] [Accepted: 12/21/2022] [Indexed: 12/28/2022]
Abstract
For stage III colorectal cancer (CRC) patients with a high risk of recurrence, intensified adjuvant chemotherapy can improve overall survival. We aimed to develop a circulating tumor DNA (ctDNA) methylation marker model for predicting the relapse risk of stage III CRC patients. Differentially methylated markers identified between 53 normal mucosa samples and 165 CRC tissue samples, as well as between plasma samples from 75 stage I/II (early-stage) CRC patients and 55 stage IV (late-stage) CRC patients, were analyzed using Student's t-tests. The overlapping methylation markers shared by plasma and tissue samples were used to establish a methylation marker model to evaluate the tumor burden in the peripheral blood of CRC patients using the random forest method. This model was verified in the validation cohort (n = 44) and then applied to predict recurrence risk in 50 stage III CRC patients and monitor the clinical disease course in serial samples from four CRC patients. We built a five-marker-based ctDNA methylation model that had high sensitivity (84.21%) and specificity (84%) in identifying late-stage CRC in a validation cohort containing 24 stage I/II CRC patients and 20 stage IV CRC patients. The model achieved high sensitivity (87.5%) and specificity (94.12%) in predicting tumor relapse in an independent cohort of 50 stage III CRC patients and could be an independent recurrence risk factor for stage III patients [Hazard ratio (HR), 60.4; 95% confidence interval (CI): 7.68-397; p = 9.73e-5]. Analysis of serial blood samples of CRC showed that the model could monitor disease relapse earlier than imaging examination and serum carcinoembryonic antigen (CEA) and so may provide an opportunity for the early adjustment of therapeutic strategies. Moreover, the model could potentially monitor the clinical course and treatment response dynamically. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
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Affiliation(s)
- Wei Wang
- Department of Pathology, Nanfang Hospital and Basic Medical College, Southern Medical University, Guangzhou, PR China.,Department of Pathology, General Hospital of Southern Theater Command, People's Liberation Army of China, Guangzhou, PR China
| | - Xiaohui Zhu
- Department of Pathology, Nanfang Hospital and Basic Medical College, Southern Medical University, Guangzhou, PR China.,Guangdong Province Key Laboratory of Molecular Tumor Pathology, Guangzhou, PR China
| | - Xuecong Zhang
- Department of Bioinformatics, School of Basic Medicine, Southern Medical University, Guangzhou, PR China
| | - Chengyong Lei
- Department of Urology, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Zhicheng Zeng
- Department of Pathology, Nanfang Hospital and Basic Medical College, Southern Medical University, Guangzhou, PR China.,Guangdong Province Key Laboratory of Molecular Tumor Pathology, Guangzhou, PR China
| | - Xiaoliang Lan
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Wenzhi Cui
- Department of Pathology, General Hospital of Southern Theater Command, People's Liberation Army of China, Guangzhou, PR China
| | - Feifei Wang
- Department of Pathology, Nanfang Hospital and Basic Medical College, Southern Medical University, Guangzhou, PR China.,Guangdong Province Key Laboratory of Molecular Tumor Pathology, Guangzhou, PR China
| | - Shaowan Xu
- Department of Pathology, Nanfang Hospital and Basic Medical College, Southern Medical University, Guangzhou, PR China.,Guangdong Province Key Laboratory of Molecular Tumor Pathology, Guangzhou, PR China
| | - Juan Zhou
- Department of Oncology, General Hospital of Southern Theater Command, People's Liberation Army of China, Guangzhou, PR China
| | - Xuehui Wu
- Department of Pathology, Nanfang Hospital and Basic Medical College, Southern Medical University, Guangzhou, PR China.,Guangdong Province Key Laboratory of Molecular Tumor Pathology, Guangzhou, PR China
| | - Haijun Deng
- Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, PR China
| | - Xia Li
- AnchorDx Medical Co., Ltd., Guangzhou, PR China
| | - Jianbing Fan
- Department of Pathology, Nanfang Hospital and Basic Medical College, Southern Medical University, Guangzhou, PR China.,AnchorDx Medical Co., Ltd., Guangzhou, PR China
| | - Yanqing Ding
- Department of Pathology, Nanfang Hospital and Basic Medical College, Southern Medical University, Guangzhou, PR China.,Guangdong Province Key Laboratory of Molecular Tumor Pathology, Guangzhou, PR China
| | - Zhongxi Huang
- Cancer Research Institute, School of Basic Medical Sciences, Southern Medical University, Guangzhou, PR China
| | - Li Liang
- Department of Pathology, Nanfang Hospital and Basic Medical College, Southern Medical University, Guangzhou, PR China.,Guangdong Province Key Laboratory of Molecular Tumor Pathology, Guangzhou, PR China
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Li Z, Fu Y, Hu Y, Zhu Y, Hu L, Shi C, Zhang Y, Zhang J, Zhou S. Low-dose arecoline regulates distinct core signaling pathways in oral submucous fibrosis and oral squamous cell carcinoma. BMC Oral Health 2023; 23:171. [PMID: 36966276 PMCID: PMC10039525 DOI: 10.1186/s12903-023-02887-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 03/15/2023] [Indexed: 03/27/2023] Open
Abstract
BACKGROUND Betel nut chewing plays a role in the pathogenesis of oral submucous fibrosis (OSF) and oral squamous cell carcinoma (OSCC). As the major active ingredient of the betel nut, the effect of arecoline and its underlying mechanism to OSF and OSCC pathogenesis remain unclear. METHODS Next-generation sequencing-based transcriptome and dRRBS analysis were performed on OSF and OSCC cells under low-dose arecoline exposure. Functional analyses were performed to compare the different roles of arecoline during OSF and OSCC pathogenesis, and key genes were identified. RESULTS In this study, we identified that low-dose arecoline promoted cell proliferation of both NFs and OSCC cells via the acceleration of cell cycle progression, while high-dose arecoline was cytotoxic to both NFs and OSCC cells. We performed for the first time the transcriptome and methylome landscapes of NFs and OSCC cells under low-dose arecoline exposure. We found distinct transcriptome and methylome profiles mediated by low-dose arecoline in OSF and OSCC cells, as well as specific genes and signaling pathways associated with metabolic disorders induced by low-dose arecoline exposure. Additionally, low-dose arecoline displayed different functions at different stages, participating in the modulation of the extracellular matrix via Wnt signaling in NFs and epigenetic regulation in OSCC cells. After exposure to low-dose arecoline, the node roles of FMOD in NFs and histone gene clusters in OSCC cells were found. Meanwhile, some key methylated genes induced by arecoline were also identified, like PTPRM and FOXD3 in NFs, SALL3 and IRF8 in OSCC cells, indicating early molecular events mediated by arecoline during OSF and OSCC pathogenesis. CONCLUSIONS This study elucidated the contribution of low-dose arecoline to OSF and OSCC pathogenesis and identified key molecular events that could be targeted for further functional studies and their potential as biomarkers.
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Affiliation(s)
- Zhenming Li
- Department of Oral & Maxillofacial - Head & Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, 200011, China
- National Center for Stomatology, Shanghai, 200011, China
- National Clinical Research Center for Oral Diseases, Shanghai, 200011, China
- Shanghai Key Laboratory of Stomatology, Shanghai, 200011, China
- Shanghai Research Institute of Stomatology, Shanghai, 200011, China
| | - You Fu
- Department of Oral & Maxillofacial - Head & Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, 200011, China
- National Center for Stomatology, Shanghai, 200011, China
- National Clinical Research Center for Oral Diseases, Shanghai, 200011, China
- Shanghai Key Laboratory of Stomatology, Shanghai, 200011, China
- Shanghai Research Institute of Stomatology, Shanghai, 200011, China
| | - Yuhua Hu
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, 200011, China
- National Center for Stomatology, Shanghai, 200011, China
- National Clinical Research Center for Oral Diseases, Shanghai, 200011, China
- Shanghai Key Laboratory of Stomatology, Shanghai, 200011, China
- Shanghai Research Institute of Stomatology, Shanghai, 200011, China
- Department of Oral Pathology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Yun Zhu
- Department of Oral & Maxillofacial - Head & Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, 200011, China
- National Center for Stomatology, Shanghai, 200011, China
- National Clinical Research Center for Oral Diseases, Shanghai, 200011, China
- Shanghai Key Laboratory of Stomatology, Shanghai, 200011, China
- Shanghai Research Institute of Stomatology, Shanghai, 200011, China
| | - Longwei Hu
- Department of Oral & Maxillofacial - Head & Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, 200011, China
- National Center for Stomatology, Shanghai, 200011, China
- National Clinical Research Center for Oral Diseases, Shanghai, 200011, China
- Shanghai Key Laboratory of Stomatology, Shanghai, 200011, China
- Shanghai Research Institute of Stomatology, Shanghai, 200011, China
| | - Chaoji Shi
- Department of Oral & Maxillofacial - Head & Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, 200011, China
- National Center for Stomatology, Shanghai, 200011, China
- National Clinical Research Center for Oral Diseases, Shanghai, 200011, China
- Shanghai Key Laboratory of Stomatology, Shanghai, 200011, China
- Shanghai Research Institute of Stomatology, Shanghai, 200011, China
| | - Yi Zhang
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, 200011, China
- National Center for Stomatology, Shanghai, 200011, China
- National Clinical Research Center for Oral Diseases, Shanghai, 200011, China
- Shanghai Key Laboratory of Stomatology, Shanghai, 200011, China
- Shanghai Research Institute of Stomatology, Shanghai, 200011, China
- Department of Endodontics and Operative Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
| | - Jianjun Zhang
- Department of Oral & Maxillofacial - Head & Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, 200011, China
- National Center for Stomatology, Shanghai, 200011, China
- National Clinical Research Center for Oral Diseases, Shanghai, 200011, China
- Shanghai Key Laboratory of Stomatology, Shanghai, 200011, China
- Shanghai Research Institute of Stomatology, Shanghai, 200011, China
| | - Shanghui Zhou
- Department of Oral & Maxillofacial - Head & Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200011, China.
- College of Stomatology, Shanghai Jiao Tong University, Shanghai, 200011, China.
- National Center for Stomatology, Shanghai, 200011, China.
- National Clinical Research Center for Oral Diseases, Shanghai, 200011, China.
- Shanghai Key Laboratory of Stomatology, Shanghai, 200011, China.
- Shanghai Research Institute of Stomatology, Shanghai, 200011, China.
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Sigin VO, Kalinkin AI, Nikolaeva AF, Ignatova EO, Kuznetsova EB, Chesnokova GG, Litviakov NV, Tsyganov MM, Ibragimova MK, Vinogradov II, Vinogradov MI, Vinogradov IY, Zaletaev DV, Nemtsova MV, Kutsev SI, Tanas AS, Strelnikov VV. DNA Methylation and Prospects for Predicting the Therapeutic Effect of Neoadjuvant Chemotherapy for Triple-Negative and Luminal B Breast Cancer. Cancers (Basel) 2023; 15:cancers15051630. [PMID: 36900421 PMCID: PMC10001080 DOI: 10.3390/cancers15051630] [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: 01/12/2023] [Revised: 02/24/2023] [Accepted: 03/05/2023] [Indexed: 03/09/2023] Open
Abstract
Despite advances in the diagnosis and treatment of breast cancer (BC), the main cause of deaths is resistance to existing therapies. An approach to improve the effectiveness of therapy in patients with aggressive BC subtypes is neoadjuvant chemotherapy (NACT). Yet, the response to NACT for aggressive subtypes is less than 65% according to large clinical trials. An obvious fact is the lack of biomarkers predicting the therapeutic effect of NACT. In a search for epigenetic markers, we performed genome-wide differential methylation screening by XmaI-RRBS in cohorts of NACT responders and nonresponders, for triple-negative (TN) and luminal B tumors. The predictive potential of the most discriminative loci was further assessed in independent cohorts by methylation-sensitive restriction enzyme quantitative PCR (MSRE-qPCR), a promising method for the implementation of DNA methylation markers in diagnostic laboratories. The selected most informative individual markers were combined into panels demonstrating cvAUC = 0.83 (TMEM132D and MYO15B markers panel) for TN tumors and cvAUC = 0.76 (TTC34, LTBR and CLEC14A) for luminal B tumors. The combination of methylation markers with clinical features that correlate with NACT effect (clinical stage for TN and lymph node status for luminal B tumors) produces better classifiers, with cvAUC = 0.87 for TN tumors and cvAUC = 0.83 for luminal B tumors. Thus, clinical characteristics predictive of NACT response are independently additive to the epigenetic classifier and in combination improve prediction.
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Affiliation(s)
- Vladimir O. Sigin
- Research Centre for Medical Genetics, 115522 Moscow, Russia
- Correspondence: ; Tel.: +7-916-279-5124
| | | | | | - Ekaterina O. Ignatova
- Research Centre for Medical Genetics, 115522 Moscow, Russia
- N. N. Blokhin National Medical Research Center of Oncology, 115478 Moscow, Russia
| | - Ekaterina B. Kuznetsova
- Research Centre for Medical Genetics, 115522 Moscow, Russia
- Laboratory of Medical Genetics, I. M. Sechenov First Moscow State Medical University (Sechenov University), 119992 Moscow, Russia
| | | | - Nikolai V. Litviakov
- Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, 634009 Tomsk, Russia
| | - Matvey M. Tsyganov
- Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, 634009 Tomsk, Russia
| | - Marina K. Ibragimova
- Cancer Research Institute, Tomsk National Research Medical Center, Russian Academy of Sciences, 634009 Tomsk, Russia
| | - Ilya I. Vinogradov
- Regional Clinical Oncology Dispensary, 390011 Ryazan, Russia
- Department of Pathological Anatomy, Ryazan State Medical University, 390026 Ryazan, Russia
| | | | - Igor Y. Vinogradov
- Department of Pathological Anatomy, Ryazan State Medical University, 390026 Ryazan, Russia
| | | | - Marina V. Nemtsova
- Research Centre for Medical Genetics, 115522 Moscow, Russia
- Laboratory of Medical Genetics, I. M. Sechenov First Moscow State Medical University (Sechenov University), 119992 Moscow, Russia
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Sultana S, Azlan A, Desa MNM, Mahyudin NA. Multiplex platforms in biosensor based analytical approaches: Opportunities and challenges for the speciation of animal species in food chain. Food Control 2023. [DOI: 10.1016/j.foodcont.2023.109727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
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Nielsen TK, Forero-Junco LM, Kot W, Moineau S, Hansen LH, Riber L. Detection of nucleotide modifications in bacteria and bacteriophages: Strengths and limitations of current technologies and software. Mol Ecol 2023; 32:1236-1247. [PMID: 36052951 DOI: 10.1111/mec.16679] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 08/25/2022] [Accepted: 08/30/2022] [Indexed: 11/27/2022]
Abstract
RNA and DNA modifications occur in eukaryotes and prokaryotes, as well as in their viruses, and serve a wide range of functions, from gene regulation to nucleic acid protection. Although the first nucleotide modification was discovered almost 100 years ago, new and unusual modifications are still being described. Nucleotide modifications have also received more attention lately because of their increased significance, but also because new sequencing approaches have eased their detection. Chiefly, third generation sequencing platforms PacBio and Nanopore offer direct detection of modified bases by measuring deviations of the signals. These unusual modifications are especially prevalent in bacteriophage genomes, the viruses of bacteria, where they mostly appear to protect DNA against degradation from host nucleases. In this Opinion article, we highlight and discuss current approaches to detect nucleotide modifications, including hardwares and softwares, and look onward to future applications, especially for studying unusual, rare, or complex genome modifications in bacteriophages. The ability to distinguish between several types of nucleotide modifications may even shed new light on metagenomic studies.
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Affiliation(s)
- Tue Kjaergaard Nielsen
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark
| | | | - Witold Kot
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Sylvain Moineau
- Département de biochimie, de microbiologie, et de bio-informatique, Faculté des sciences et de génie, Université Laval, Québec, Quebec, Canada
| | - Lars Hestbjerg Hansen
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark
| | - Leise Riber
- Department of Plant and Environmental Sciences, University of Copenhagen, Frederiksberg, Denmark
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Feil D, Abrishamcar S, Christensen GM, Vanker A, Koen N, Kilanowski A, Hoffman N, Wedderburn CJ, Donald KA, Kobor MS, Zar HJ, Stein DJ, Hüls A. DNA methylation as a potential mediator of the association between indoor air pollution and neurodevelopmental delay in a South African birth cohort. Clin Epigenetics 2023; 15:31. [PMID: 36855151 PMCID: PMC9972733 DOI: 10.1186/s13148-023-01444-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Accepted: 02/08/2023] [Indexed: 03/02/2023] Open
Abstract
BACKGROUND Exposure to indoor air pollution during pregnancy has been linked to neurodevelopmental delay in toddlers. Epigenetic modification, particularly DNA methylation (DNAm), may explain this link. In this study, we employed three high-dimensional mediation analysis methods (HIMA, DACT, and gHMA) followed by causal mediation analysis to identify differentially methylated CpG sites and genes that mediate the association between indoor air pollution and neurodevelopmental delay. Analyses were performed using data from 142 mother to child pairs from a South African birth cohort, the Drakenstein Child Health Study. DNAm from cord blood was measured using the Infinium MethylationEPIC and HumanMethylation450 arrays. Neurodevelopment was assessed at age 2 years using the Bayley Scores of Infant and Toddler Development, 3rd edition across four domains (cognitive development, general adaptive behavior, language, and motor function). Particulate matter with an aerodynamic diameter of 10 μm or less (PM10) was measured inside participants' homes during the second trimester of pregnancy. RESULTS A total of 29 CpG sites and 4 genes (GOPC, RP11-74K11.1, DYRK1A, RNMT) were identified as significant mediators of the association between PM10 and cognitive neurodevelopment. The estimated proportion mediated (95%-confidence interval) ranged from 0.29 [0.01, 0.86] for cg00694520 to 0.54 [0.11, 1.56] for cg05023582. CONCLUSIONS Our findings suggest that DNAm may mediate the association between prenatal PM10 exposure and cognitive neurodevelopment. DYRK1A and several genes that our CpG sites mapped to, including CNKSR1, IPO13, IFNGR1, LONP2, and CDH1, are associated with biological pathways implicated in cognitive neurodevelopment and three of our identified CpG sites (cg23560546 [DAPL1], cg22572779 [C6orf218], cg15000966 [NT5C]) have been previously associated with fetal brain development. These findings are novel and add to the limited literature investigating the relationship between indoor air pollution, DNAm, and neurodevelopment, particularly in low- and middle-income country settings and non-white populations.
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Affiliation(s)
- Dakotah Feil
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA
| | - Sarina Abrishamcar
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA
| | - Grace M Christensen
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA
| | - Aneesa Vanker
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA and SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Nastassja Koen
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Anna Kilanowski
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA
- German Research Center for Environmental Health, Institute of Epidemiology, Helmholtz Zentrum München, Neuherberg, Germany
- Institute for Medical Information Processing, Biometry, and Epidemiology, Pettenkofer School of Public Health, LMU Munich, Munich, Germany
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, University of Munich Medical Center, Munich, Germany
| | - Nadia Hoffman
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
| | - Catherine J Wedderburn
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA and SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Clinical Research, London School of Hygiene and Tropical Medicine, London, UK
| | - Kirsten A Donald
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA and SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
| | - Michael S Kobor
- Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada
- BC Children's Hospital Research Institute, Vancouver, BC, Canada
- Centre for Molecular Medicine and Therapeutics, Vancouver, BC, Canada
| | - Heather J Zar
- Department of Paediatrics and Child Health, Red Cross War Memorial Children's Hospital, SA and SA-MRC Unit on Child and Adolescent Health, University of Cape Town, Cape Town, South Africa
| | - Dan J Stein
- Neuroscience Institute, University of Cape Town, Cape Town, South Africa
- Department of Psychiatry and Mental Health, University of Cape Town, Cape Town, South Africa
- South African Medical Research Council (SAMRC) Unit on Risk and Resilience in Mental Disorders, University of Cape Town, Cape Town, South Africa
| | - Anke Hüls
- Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Road, Atlanta, GA, 30322, USA.
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
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Connal S, Cameron JM, Sala A, Brennan PM, Palmer DS, Palmer JD, Perlow H, Baker MJ. Liquid biopsies: the future of cancer early detection. J Transl Med 2023; 21:118. [PMID: 36774504 PMCID: PMC9922467 DOI: 10.1186/s12967-023-03960-8] [Citation(s) in RCA: 48] [Impact Index Per Article: 48.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Accepted: 02/01/2023] [Indexed: 02/13/2023] Open
Abstract
Cancer is a worldwide pandemic. The burden it imposes grows steadily on a global scale causing emotional, physical, and financial strains on individuals, families, and health care systems. Despite being the second leading cause of death worldwide, many cancers do not have screening programs and many people with a high risk of developing cancer fail to follow the advised medical screening regime due to the nature of the available screening tests and other challenges with compliance. Moreover, many liquid biopsy strategies being developed for early detection of cancer lack the sensitivity required to detect early-stage cancers. Early detection is key for improved quality of life, survival, and to reduce the financial burden of cancer treatments which are greater at later stage detection. This review examines the current liquid biopsy market, focusing in particular on the strengths and drawbacks of techniques in achieving early cancer detection. We explore the clinical utility of liquid biopsy technologies for the earlier detection of solid cancers, with a focus on how a combination of various spectroscopic and -omic methodologies may pave the way for more efficient cancer diagnostics.
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Affiliation(s)
- Siobhan Connal
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK ,grid.11984.350000000121138138Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, 295 Cathedral Street, Glasgow, G11XL UK
| | - James M. Cameron
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK
| | - Alexandra Sala
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK
| | - Paul M. Brennan
- grid.4305.20000 0004 1936 7988Translational Neurosurgery, Centre for Clinical Brain Sciences, 49 Little France Crescent, University of Edinburgh, Edinburgh, EH16 4BS UK
| | - David S. Palmer
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK ,grid.11984.350000000121138138Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, 295 Cathedral Street, Glasgow, G11XL UK
| | - Joshua D. Palmer
- grid.412332.50000 0001 1545 0811Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Haley Perlow
- grid.412332.50000 0001 1545 0811Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210 USA
| | - Matthew J. Baker
- Dxcover Ltd., Royal College Building, 204 George Street, Glasgow, G1 1XW UK ,grid.11984.350000000121138138Department of Pure and Applied Chemistry, Thomas Graham Building, University of Strathclyde, 295 Cathedral Street, Glasgow, G11XL UK ,grid.7943.90000 0001 2167 3843School of Medicine, Faculty of Clinical and Biomedical Sciences, University of Central Lancashire, Preston, PR1 2HE UK
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Wang M, Li Q, Liu L. Factors and Methods for the Detection of Gene Expression Regulation. Biomolecules 2023; 13:biom13020304. [PMID: 36830673 PMCID: PMC9953580 DOI: 10.3390/biom13020304] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 02/01/2023] [Accepted: 02/03/2023] [Indexed: 02/10/2023] Open
Abstract
Gene-expression regulation involves multiple processes and a range of regulatory factors. In this review, we describe the key factors that regulate gene expression, including transcription factors (TFs), chromatin accessibility, histone modifications, DNA methylation, and RNA modifications. In addition, we also describe methods that can be used to detect these regulatory factors.
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Jiang YJ, Zhang TT, Zhu YQ, Cai HQ, Chang C, Hao JJ, Cai Y, Wang MR, Liang JW, Zhang Y. Development of novel DNAJB6-KIAA1522-p-mTOR three-protein prognostic prediction models for CRC. Transl Oncol 2023; 28:101609. [PMID: 36571988 PMCID: PMC9803855 DOI: 10.1016/j.tranon.2022.101609] [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: 09/11/2022] [Revised: 11/28/2022] [Accepted: 12/19/2022] [Indexed: 12/25/2022] Open
Abstract
BACKGROUND To evaluate the prognostic value of DNAJB6, KIAA1522, and p-mTOR expression for colorectal cancer (CRC) and to develop effective prognostic models for CRC patients. METHODS The expression of DNAJB6, KIAA1522, and p-mTOR (Ser2448) was detected using immunohistochemistry in 329 CRC specimens. The prognostic values of the three proteins in the training cohort were assessed using Kaplan-Meier curves and univariate and multivariate Cox proportional hazards models. Prediction nomogram models integrating the three proteins and TNM stage were constructed. Subsequently, calibration curves, receiver operating characteristic (ROC) curves, the concordance index (C-index), and decision curve analysis (DCA) were used to evaluate the performance of the nomograms in the training and validation cohorts. RESULTS The three proteins DNAJB6, KIAA1522, and p-mTOR were significantly overexpressed in CRC tissues (each P < 0.01), and their expression was an independent prognostic factor for overall survival (OS) and disease-free survival (DFS) (each P < 0.05). The area under the ROC curves (AUC) and C-index values were approximately 0.7. Additionally, the calibration curves showed that the predicted values and the actual values fit well. Furthermore, DCA curves indicated that the clinical value of the nomogram models was higher than that of TNM stage. Overall, the novel prediction models have good discriminability, sensitivity, specificity and clinical utility. CONCLUSION The nomograms containing DNAJB6, KIAA1522, and p-mTOR may be promising models for predicting postoperative survival in CRC.
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Affiliation(s)
- Yu-Juan Jiang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China; Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Tong-Tong Zhang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China; Medical Research Center, The Third People's Hospital of Chengdu, Chengdu, 610031, China
| | - Yi-Qing Zhu
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Hong-Qing Cai
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Chen Chang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jia-Jie Hao
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yan Cai
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Ming-Rong Wang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jian-Wei Liang
- Department of Colorectal Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Yu Zhang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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Sun H, Zhou S, Liu Y, Lu P, Qi N, Wang G, Yang M, Huo D, Hou C. A fluorescent biosensor based on exponential amplification reaction-initiated CRISPR/Cas12a (EIC) strategy for ultrasensitive DNA methyltransferase detection. Anal Chim Acta 2023; 1239:340732. [PMID: 36628729 DOI: 10.1016/j.aca.2022.340732] [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: 10/20/2022] [Revised: 12/09/2022] [Accepted: 12/17/2022] [Indexed: 12/24/2022]
Abstract
DNA methyltransferase (DNA MTase) catalyzes the process of DNA methylation, and the aberrant DNA MTase activity is closely associated with cancer incidence and progression. Inspired by the exponential amplification reaction (EXPAR) characteristics, we developed an EXPAR-initiated CRISPR/Cas12a (EIC) strategy for sensitively detecting DNA MTase activity. A hairpin probe (HP) was designed with a palindromic sequence in the stem as substrate and NH2-modified 3' end to prevent nonspecific amplification. HP could be methylated by DNA adenine methyltransferase (Dam MTase) and then digested by DpnI to generate an oligonucleotide that can serve as an EXPAR primer. With the assistance of Nt.BstNBI nicking enzyme and Vent(exo-) polymerase, this primer bound to template and induced EXPAR. Interestingly, the product of Cycle 1 in EXPAR can function as primer to initiate Cycle 2. Both EXPAR products can further activate the collateral cleavage of CRISPR/Cas12a-crRNA, resulting in the fragmentation of fluorescence reporters and fluorescence recovery. Due to the highly efficient amplification (about 5 times signal-to-noise of SDA) and the robust trans-cleavage of CRISPR/Cas12a, the EIC system owned an extreme limit of detection (LOD) of 2 × 10-4 U/mL and a broad detection range from 2 × 10-4 to 10 U/mL for Dam MTase. In addition, this method has succeeded in inhibitor screening and evaluation, showing magnificent promise in drug discovery and cancer therapy.
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Affiliation(s)
- Human Sun
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, 400044, PR China.
| | - Shiying Zhou
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, 400044, PR China
| | - Yin Liu
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, 400044, PR China
| | - Peng Lu
- Chongqing University Three Gorges Hospital, Chongqing, 404000, PR China
| | - Na Qi
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, 400044, PR China
| | - Guixue Wang
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, 400044, PR China
| | - Mei Yang
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, 400044, PR China.
| | - Danqun Huo
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, 400044, PR China; Chongqing Key Laboratory of Bio-perception & Intelligent Information Processing, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, 400044, PR China.
| | - Changjun Hou
- Key Laboratory for Biorheological Science and Technology of Ministry of Education, Bioengineering College, Chongqing University, Chongqing, 400044, PR China; National Facility for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, PR China.
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Zhao M, Wu J, Xu J, Li A, Mei Y, Ge X, Yin G, Liu X, Wei L, Xu Q. Association of environmental exposure to chromium with differential DNA methylation: An epigenome-wide study. Front Genet 2023; 13:1043486. [PMID: 36685967 PMCID: PMC9845398 DOI: 10.3389/fgene.2022.1043486] [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: 09/13/2022] [Accepted: 12/12/2022] [Indexed: 01/06/2023] Open
Abstract
Introduction: Previous studies have reported that chromium (Cr)-induced epigenetic alterations and DNA methylation play a vital role in the pathogenesis of diseases induced by chromium exposure. Epigenomic analyses have been limited and mainly focused on occupational chromium exposure; their findings are not generalizable to populations with environmental Cr exposure. Methods: We identified the differential methylation of genes and regions to elucidate the mechanisms of toxicity related to environmental chromium exposure. DNA methylation was measured in blood samples collected from individuals in Cr-contaminated (n = 10) and unexposed areas (n = 10) by using the Illumina Infinium HumanMethylation850K array. To evaluate the relationship between chromium levels in urine and CpG methylation at 850 thousand sites, we investigated differentially methylated positions (DMPs) and differentially methylated regions (DMRs) by using linear models and DMRcate method, respectively. The model was adjusted for biologically relevant variables and estimated cell-type compositions. Results: At the epigenome-wide level, we identified five CpGs [cg20690919 (p FDR =0.006), cg00704664 (p FDR =0.024), cg10809143 (p FDR =0.043), cg27057652 (p FDR =0.047), cg05390480 (p FDR =0.024)] and one DMR (chr17: 19,648,718-19,648,972), annotated to ALDH3A1 genes (p < 0.05) as being significantly associated with log2 transformed urinary chromium levels. Discussion: Environmental chromium exposure is associated with DNA methylation, and the significant DMPs and DMR being annotated to cause DNA damage and genomic instability were found in this work. Research involving larger samples is required to further explore the epigenetic effect of environmental chromium exposure on health outcomes through DNA methylation.
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Affiliation(s)
- Meiduo Zhao
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jingtao Wu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Jing Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Ang Li
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Yayuan Mei
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Xiaoyu Ge
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Guohuan Yin
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Xiaolin Liu
- Department of Epidemiology and Biostatistics, Jinzhou Medical University, Jinzhou, Liaoning, China
| | - Lanping Wei
- Jinzhou Central Hospital, Jinzhou, Liaoning, China
| | - Qun Xu
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China,Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China,*Correspondence: Qun Xu,
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Fyta M. Functionalized electrodes embedded in nanopores: read-out enhancement? Chem Asian J 2023; 18:e202200916. [PMID: 36372991 PMCID: PMC10107472 DOI: 10.1002/asia.202200916] [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: 09/02/2022] [Revised: 11/12/2022] [Accepted: 11/12/2022] [Indexed: 11/16/2022]
Abstract
In this review, functionalized nanogaps embedded in nanopores are discussed in view of their high biosensitivity in detecting biomolecules, their length, type, and sequence. Specific focus is given on nanoelectrodes functionalized with tiny nanometer-sized diamond-like particles offering vast functionalization possibilities for gold junction electrodes. This choice of the functionalization, in turn, offers nucleotide-specific binding possibilities improving the detection signals arising from such functionalized electrodes potentially embedded in a nanopore. The review sheds light onto the use and enhancement of the tunnelling recognition in functionalized nanogaps towards sensing DNA nucleotides and mutation detection, providing important input for a practical realization.
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Affiliation(s)
- Maria Fyta
- Computational Biotechnology, RWTH-Aachen University, Worringerweg 3, 52072, Aachen, Germany
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Zhu P, Li X, Liu Y, Xiong J, Yuan D, Chen Y, Luo L, Huang J, Wang B, Nie Q, Wang S, Dang L, Li S, Shu Y, Zhang W, Zhou H, Fan L, Li Q. Methylation-mediated silencing of EDN3 promotes cervical cancer proliferation, migration and invasion. Front Oncol 2023; 13:1010132. [PMID: 36824133 PMCID: PMC9942821 DOI: 10.3389/fonc.2023.1010132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2022] [Accepted: 01/25/2023] [Indexed: 02/05/2023] Open
Abstract
Cervical cancer (CC) remains one of the leading causes of cancer-related deaths worldwide. However, cervical cancer is preceded by the pre-malignant cervical intraepithelial neoplasia (CIN) that can last for up to 20 years before becoming malignant. Therefore, early screening is the key to prevent the progression of cervical lesions into invasive cervical cancer and decrease the incidence. The genes, down-regulated and hypermethylated in cancers, may provide potential drug targets for cervical cancer. In our current study, using the datasets from Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) databases, we found that endothelin 3 (EDN3) was downregulated and hypermethylated in cervical squamous cell carcinoma (CSCC). The further analysis in GSE63514 (n=128) dataset and in our samples (n=221) found that the expression of EDN3 was decreased with the degree of cervical lesions. Pyrosequencing was performed to evaluate 4 CpG sites of the EDN3 promoter region in our samples (n=469). The data indicated that the methylation level of EDN3 was increased with the degree of cervical lesions. EDN3 silencing mediated by methylation can be blocked by 5-Azacytidine (5-Aza), a DNA methyltransferase 1 (DNMT1) inhibitor, treatment in cervical cancer cell lines. Ethynyldeoxyuridine (EdU) assay, would-healing assay, clone formation assay and transwell assay were conducted to investigate the biological function of EDN3 in cervical cancer cell lines. The results of these experiments confirmed that overexpression of EDN3 could inhibit the proliferation, clone formation, migration and invasion of cervical cancer cells. EDN3 may provide potential biomarker and therapeutic target for CSCC.
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Affiliation(s)
- Peng Zhu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
| | - Xiang Li
- Department of Gynaecology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Yujie Liu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
| | - Jing Xiong
- Department of Gynaecology and Obstetrics, The Second Xiangya Hospital, Central South University, Changsha, China
- *Correspondence: Qing Li, ; Jing Xiong,
| | - Ding Yuan
- Health Management Center, Xiangya Hospital, Central South University, Changsha, China
| | - Yan Chen
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
- Xiangya Medical Laboratory, Central South University, Changsha, China
| | - Lili Luo
- Department of Gynaecology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Ju Huang
- Department of Gynaecology, The First Affiliated Hospital of Shantou University Medical College, Shantou, China
| | - Binbin Wang
- Department of Obstetrics and Gynecology, Loudi Central Hospital, Loudi, China
| | - Quanfang Nie
- Department of Obstetrics and Gynecology, Loudi Central Hospital, Loudi, China
| | - Shuli Wang
- Department of Obstetrics and Gynecology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
| | - Liying Dang
- Department of Obstetrics and Gynecology, Zhengzhou Central Hospital Affiliated to Zhengzhou University, Zhengzhou, China
| | - Shu Li
- Xiangya Medical Laboratory, Central South University, Changsha, China
| | - Yan Shu
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
| | - Wei Zhang
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
| | - Honghao Zhou
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
| | - Lan Fan
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
| | - Qing Li
- Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, China
- Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, China
- Engineering Research Center of Applied Technology of Pharmacogenomics, Ministry of Education, Changsha, China
- *Correspondence: Qing Li, ; Jing Xiong,
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Tanwar P, Minocha S, Gupta I. A Comprehensive narrative review of transcriptomics and epigenomics of gallbladder cancer. J Cancer Res Ther 2023; 19:S499-S507. [PMID: 38384011 DOI: 10.4103/jcrt.jcrt_1823_23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Accepted: 09/25/2023] [Indexed: 02/23/2024]
Abstract
ABSTRACTS Gallbladder cancer (GBC) is one of the quiet prevalent and aggressive biliary tract malignant neoplasms distinguished by significant cellular heterogeneity, metastatic activity, and a poor prognosis, with varied frequency worldwide. Most cases are detected incidentally while routine screening imaging or pathological investigation of cholecystectomy tissues and usually present with advanced disease. The surgical resection is usually done in the initial clinical stage having limited spread. Despite the surgical therapy, the death rate is significant. Furthermore, the molecular mechanisms affecting the clinical course of inflammatory gallbladder to carcinogenesis remain poorly understood. There is an impending need for developing diagnostic biomarkers and targeted approaches for GBC. The newer molecular platform, such as next-generation sequencing (NGS), such as RNA-sequencing (RNAseq), single-cell sequencing, and microarray technology, has revolutionized the field of genomics, opened a new perspective in defining genetic and epigenetic characteristics identifying molecules as possible therapeutic targets. Therefore, in this review, we would analyze transcriptomic and epigenomics profiles of GBC using already published high-throughput sequencing-based studies published between 2010 and 2023. The review would also analyze the possible impact of the technological advancement on the patient management strategy and overall survival. This may also help identify target genes and pathways linked to GBC, which may help establish molecular biomarkers, for early GBC diagnosis, personalized therapy, and management.
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Affiliation(s)
- Pranay Tanwar
- Laboratory Oncology Unit, Dr BRA-IRCH, All India Institute of Medical Sciences, New Delhi, India
| | - Shilpi Minocha
- Kusuma School of Biological Sciences, Indian Institute of Technology Delhi, India
| | - Ishaan Gupta
- Department of Biochemical Engineering and Biotechnology, Indian Institute of Technology Delhi, India
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Luo L, Fu S, Du W, He LN, Zhang X, Wang Y, Zhou Y, Hong S. LRRC3B and its promoter hypomethylation status predicts response to anti-PD-1 based immunotherapy. Front Immunol 2023; 14:959868. [PMID: 36798137 PMCID: PMC9928207 DOI: 10.3389/fimmu.2023.959868] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 01/06/2023] [Indexed: 01/26/2023] Open
Abstract
Background The leucine rich repeat containing 3B (LRRC3B) gene is a tumor suppressor gene involved in the anti-tumor immune microenvironment. Expression of LRRC3B and DNA methylation at the LRRC3B promoter region may serve as a useful marker to predict response to anti-PD-1 therapy. However, no studies have yet systematically explored the protective role of LRRC3B methylation in tumor progression and immunity. Methods Expression of LRRC3B of 33 cancer types in The Cancer Genome Atlas (TCGA) was downloaded from UCSC Xena (http://xena.ucsc.edu/). And, we evaluated the differential expression of LRRC3B according to tumor stage, overall survival, and characteristics of the tumor microenvironment. The immunotherapeutic cohorts included IMvigor21, GSE119144, and GSE72308 which were obtained from the Gene Expression Omnibus database. We conducted pearson correlation analysis of LRRC3B and tumor microenvironment (TME) in pan-cancer. Also, six immune cell types (B cells, CD8+ T cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells) and tumor purity were analyzed using the Tumor IMmune Estimation Resource (TIMER1.0) (Tumor IMmune Estimation Resource (TIMER2.0). And, a "silencing score" model base on LRRC3B promoter methylation to predict overall survival (OS) by multivariate Cox regression analysis was constructed. Finally, the model was applied to predict anti-PD-1 therapy in non-small cell lung cancer (NSCLC) and breast cancer (BRCA). Results LRRC3B expression associated with less tumor invasion, less severe tumor stage, and decreased metastasis. The inactivation of LRRC3B promoted the enrichment of immuneosuppressive cells, including myeloid-derived suppressor cells (MDSCs), cancer-associated fibroblasts (CAFs), M2 subtype of tumor-associated macrophages (M2-TAMs), M1 subtype of tumor-associated macrophages (M1-TAMs), and regulatory T (Treg) cells. A high silencing score was significantly associated with immune inhibition, low expression of LRRC3B, poor patient survival, and activation of cancer-related pathways. Conclusion Our comprehensive analysis demonstrated the potential role of LRRC3B in the anti-tumor microenvironment, clinicopathological features of cancer, and disease prognosis. It suggested that LRRC3B methylation could be used as a powerful biomarker to predict immunotherapy responses in NSCLC and BRCA.
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Affiliation(s)
- Linfeng Luo
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Sha Fu
- Department of Cellular & Molecular Diagnostics Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation of Sun Yat-Sen University, Guangzhou, China
| | - Wei Du
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Li-Na He
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Xuanye Zhang
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yixing Wang
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Yixin Zhou
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of VIP Region, Sun Yat-sen University Cancer Center, Guangzhou, China
| | - Shaodong Hong
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, China.,Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, Guangzhou, China
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Shoukat I, Mueller CR. Searching for DNA methylation in patients triple-negative breast cancer: a liquid biopsy approach. Expert Rev Mol Diagn 2023; 23:41-51. [PMID: 36715539 DOI: 10.1080/14737159.2023.2173579] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
INTRODUCTION Liquid biopsies are proving to have diagnostic and prognostic value in many different cancers, and in breast cancer they have the potential to improve outcomes by providing valuable information throughout a patient's cancer journey. However, patients with triple negative breast cancer (TNBC) have received little benefit from such liquid biopsies due to underlying limitations in the discovery and utility of robust biomarkers. Here, we examine the development of DNA methylation-based liquid biopsy assays for breast cancer and how they pertain to TNBC. AREAS COVERED We conducted a systematic review of liquid biopsy assays for breast cancer and analyzed their relevance in TNBC. We show that the utility of DNA mutation-based assays is poor for TNBC due to the low mutational frequencies across the genome in this subtype. We offer a detailed review of mDETECT - a liquid biopsy specifically designed for assessing tumor burden in TNBC patients. EXPERT OPINION DNA methylation are foundational and robust events that occur in cancer evolution and may differentiate almost all forms of cancer, including TNBC. Longitudinal patient monitoring using DNA methylation-based liquid biopsies offers great potential for improving the detection and management of TNBC.
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Affiliation(s)
- Irsa Shoukat
- Queen's Cancer Research Institute, Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Christopher R Mueller
- Queen's Cancer Research Institute, Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
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Identification of Methylation Signatures and Rules for Sarcoma Subtypes by Machine Learning Methods. BIOMED RESEARCH INTERNATIONAL 2022; 2022:5297235. [PMID: 36619306 PMCID: PMC9812612 DOI: 10.1155/2022/5297235] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Revised: 11/28/2022] [Accepted: 12/08/2022] [Indexed: 12/31/2022]
Abstract
Sarcoma, the second common type of solid tumor in children and adolescents, has a wide variety of subtypes that are often not properly diagnosed at an early stage, leading to late metastases and causing serious loss of life and property to patients and families. It exhibits a high degree of heterogeneity at the cellular, molecular, and epigenetic levels, where DNA methylation has been proposed to play a role in the diagnosis of sarcoma subtypes. Thus, this study is aimed at finding potential biomarkers at the DNA methylation level to distinguish different sarcoma subtypes. A machine learning process was designed to analyse sarcoma samples, each of which was represented by lots of methylation sites. Irrelevant sites were removed using the Boruta method, and remaining sites related to the target variables were kept for further analyses. Afterward, three feature ranking methods (LASSO, LightGBM, and MCFS) were adopted to rank these features, and six classification models were constructed by combining incremental feature selection and two classification algorithms (decision tree and random forest). Among these models, the performance of RF model was higher than that of DT model under all three ranking conditions. The specific expression of genes obtained from the annotation of highly correlated methylation site features, such as PRKAR1B, INPP5A, and GLI3, was proven to be associated with sarcoma by publications. Moreover, the quantitative rules obtained by decision tree algorithm helped us to understand the essential differences between various sarcoma types and classify sarcoma subtypes, providing a new means of clinical identification and determining new therapeutic targets.
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Kärcher J, Schulze B, Dörr A, Tierling S, Walter J. Transfer of blocker-based qPCR reactions for DNA methylation analysis into a microfluidic LoC system using thermal modeling. BIOMICROFLUIDICS 2022; 16:064102. [PMID: 36506005 PMCID: PMC9729016 DOI: 10.1063/5.0108374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 11/11/2022] [Indexed: 06/17/2023]
Abstract
Changes in the DNA methylation landscape are associated with many diseases like cancer. Therefore, DNA methylation analysis is of great interest for molecular diagnostics and can be applied, e.g., for minimally invasive diagnostics in liquid biopsy samples like blood plasma. Sensitive detection of local de novo methylation, which occurs in various cancer types, can be achieved with quantitative HeavyMethyl-PCR using oligonucleotides that block the amplification of unmethylated DNA. A transfer of these quantitative PCRs (qPCRs) into point-of-care (PoC) devices like microfluidic Lab-on-Chip (LoC) cartridges can be challenging as LoC systems show significantly different thermal properties than qPCR cyclers. We demonstrate how an adequate thermal model of the specific LoC system can help us to identify a suitable thermal profile, even for complex HeavyMethyl qPCRs, with reduced experimental effort. Using a simulation-based approach, we demonstrate a proof-of-principle for the successful LoC transfer of colorectal SEPT9/ACTB-qPCR from Epi Procolon® colorectal carcinoma test, by avoidance of oligonucleotide interactions.
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Affiliation(s)
- Janik Kärcher
- Robert Bosch GmbH, Corporate Research, Robert Bosch Campus 1, 71272 Renninge, Germany
| | - Britta Schulze
- Robert Bosch GmbH, Corporate Research, Robert Bosch Campus 1, 71272 Renninge, Germany
| | - Aaron Dörr
- Robert Bosch GmbH, Corporate Research, Robert Bosch Campus 1, 71272 Renninge, Germany
| | - Sascha Tierling
- University of Saarland, Institute for Genetics and Epigenetics, Campus Saarbrücken, 66123 Saarbrücken, Germany
| | - Jörn Walter
- University of Saarland, Institute for Genetics and Epigenetics, Campus Saarbrücken, 66123 Saarbrücken, Germany
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Identification of Immunogenic Cell Death-Related Signature for Glioma to Predict Survival and Response to Immunotherapy. Cancers (Basel) 2022; 14:cancers14225665. [PMID: 36428756 PMCID: PMC9688866 DOI: 10.3390/cancers14225665] [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: 10/25/2022] [Revised: 11/16/2022] [Accepted: 11/17/2022] [Indexed: 11/19/2022] Open
Abstract
Immunogenic cell death (ICD) is a type of regulated cell death (RCD) and is correlated with the progression, prognosis, and therapy of tumors, including glioma. Numerous studies have shown that the immunotherapeutic and chemotherapeutic agents of glioma might induce ICD. However, studies on the comprehensive analysis of the role of ICD-related genes and their correlations with overall survival (OS) in glioma are lacking. The genetic, transcriptional, and clinical data of 1896 glioma samples were acquired from five distinct databases and analyzed in terms of genes and transcription levels. The method of consensus unsupervised clustering divided the patients into two disparate molecular clusters: A and B. All of the patients were randomly divided into training and testing groups. Employing the training group data, 14 ICD-related genes were filtered out to develop a risk-score model. The correlations between our risk groups and prognosis, cells in the tumor microenvironment (TME) and immune cells infiltration, chemosensitivity and cancer stem cell (CSC) index were assessed. A highly precise nomogram model was constructed to enhance and optimize the clinical application of the risk score. The results demonstrated that the risk score could independently predict the OS rate and the immunotherapeutic response of glioma patients. This study analyzed the ICD-related genes in glioma and evaluated their role in the OS, clinicopathological characteristics, TME and immune cell infiltration of glioma. Our results may help in assessing the OS of glioma and developing better immunotherapeutic strategies.
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