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Domingo-Relloso A, Joehanes R, Rodriguez-Hernandez Z, Lahousse L, Haack K, Fallin MD, Herreros-Martinez M, Umans JG, Best LG, Huan T, Liu C, Ma J, Yao C, Jerolon A, Bermudez JD, Cole SA, Rhoades DA, Levy D, Navas-Acien A, Tellez-Plaza M. Smoking, blood DNA methylation sites and lung cancer risk. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 334:122153. [PMID: 37442331 PMCID: PMC10528956 DOI: 10.1016/j.envpol.2023.122153] [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: 03/06/2023] [Revised: 06/07/2023] [Accepted: 07/04/2023] [Indexed: 07/15/2023]
Abstract
Altered DNA methylation (DNAm) might be a biological intermediary in the pathway from smoking to lung cancer. In this study, we investigated the contribution of differential blood DNAm to explain the association between smoking and lung cancer incidence. Blood DNAm was measured in 2321 Strong Heart Study (SHS) participants. Incident lung cancer was assessed as time to event diagnoses. We conducted mediation analysis, including validation with DNAm and paired gene expression data from the Framingham Heart Study (FHS). In the SHS, current versus never smoking and pack-years single-mediator models showed, respectively, 29 and 21 differentially methylated positions (DMPs) for lung cancer with statistically significant mediated effects (14 of 20 available, and five of 14 available, positions, replicated, respectively, in FHS). In FHS, replicated DMPs showed gene expression downregulation largely in trans, and were related to biological pathways in cancer. The multimediator model identified that DMPs annotated to the genes AHRR and IER3 jointly explained a substantial proportion of lung cancer. Thus, the association of smoking with lung cancer was partly explained by differences in baseline blood DNAm at few relevant sites. Experimental studies are needed to confirm the biological role of identified eQTMs and to evaluate potential implications for early detection and control of lung cancer.
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Affiliation(s)
- Arce Domingo-Relloso
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain; Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA; Department of Statistics and Operations Research, University of Valencia, Spain.
| | - Roby Joehanes
- Population Sciences Branch, National Heart, Lung, And Blood Institute, National Institutes of Health, Bethesda, MD, USA; Framingham Heart Study, Framingham, MA, USA
| | - Zulema Rodriguez-Hernandez
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
| | - Lies Lahousse
- Department of Epidemiology, Erasmus MC University Medical Center, Rotterdam, the Netherlands; Department of Bioanalysis, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
| | - Karin Haack
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - M Daniele Fallin
- Department of Mental Health, Johns Hopkins University, Baltimore, USA; Department of Epidemiology, Johns Hopkins University, Baltimore, USA
| | | | - Jason G Umans
- MedStar Health Research Institute, Washington DC, USA; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington DC, USA
| | - Lyle G Best
- Missouri Breaks Industries and Research Inc., Eagle Butte, SD, USA
| | - Tianxiao Huan
- Framingham Heart Study, Framingham, MA, USA; University of Massachusetts Medical School, Worcester, MA, USA
| | - Chunyu Liu
- Framingham Heart Study, Framingham, MA, USA; Boston University School of Public Health, Boston, MA, USA
| | - Jiantao Ma
- Framingham Heart Study, Framingham, MA, USA; Tufts University Friedman School of Nutrition Science and Policy, Boston, MA, USA
| | - Chen Yao
- Framingham Heart Study, Framingham, MA, USA; Bristol Myers Squibb, Cambridge, MA, USA
| | - Allan Jerolon
- Université Paris Cité, CNRS, MAP5, F-75006, Paris, France
| | - Jose D Bermudez
- Department of Statistics and Operations Research, University of Valencia, Spain
| | - Shelley A Cole
- Population Health Program, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Dorothy A Rhoades
- Stephenson Cancer Center, University of Oklahoma Health Sciences Department of Medicine, Oklahoma City, OK, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, And Blood Institute, National Institutes of Health, Bethesda, MD, USA; Framingham Heart Study, Framingham, MA, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, NY, USA
| | - Maria Tellez-Plaza
- Integrative Epidemiology Group, Department of Chronic Diseases Epidemiology, National Center for Epidemiology, Carlos III Health Institute, Madrid, Spain
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2
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Li P, Liu S, Du L, Mohseni G, Zhang Y, Wang C. Liquid biopsies based on DNA methylation as biomarkers for the detection and prognosis of lung cancer. Clin Epigenetics 2022; 14:118. [PMID: 36153611 PMCID: PMC9509651 DOI: 10.1186/s13148-022-01337-0] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2022] [Accepted: 09/16/2022] [Indexed: 11/27/2022] Open
Abstract
Lung cancer (LC) is the main cause of cancer-related mortality. Most LC patients are diagnosed in an advanced stage when the symptoms are obvious, and the prognosis is quite poor. Although low-dose computed tomography (LDCT) is a routine clinical examination for early detection of LC, the false-positive rate is over 90%. As one of the intensely studied epigenetic modifications, DNA methylation plays a key role in various diseases, including cancer and other diseases. Hypermethylation in tumor suppressor genes or hypomethylation in oncogenes is an important event in tumorigenesis. Remarkably, DNA methylation usually occurs in the very early stage of malignant tumors. Thus, DNA methylation analysis may provide some useful information about the early detection of LC. In recent years, liquid biopsy has developed rapidly. Liquid biopsy can detect and monitor both primary and metastatic malignant tumors and can reflect tumor heterogeneity. Moreover, it is a minimally invasive procedure, and it causes less pain for patients. This review summarized various liquid biopsies based on DNA methylation for LC. At first, we briefly discussed some emerging technologies for DNA methylation analysis. Subsequently, we outlined cell-free DNA (cfDNA), sputum, bronchoalveolar lavage fluid, bronchial aspirates, and bronchial washings DNA methylation-based liquid biopsy for the early detection of LC. Finally, the prognostic value of DNA methylation in cfDNA and sputum and the diagnostic value of other DNA methylation-based liquid biopsies for LC were also analyzed.
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Non-Invasive Biomarkers for Early Lung Cancer Detection. Cancers (Basel) 2022; 14:cancers14235782. [PMID: 36497263 PMCID: PMC9739091 DOI: 10.3390/cancers14235782] [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: 06/21/2022] [Revised: 07/18/2022] [Accepted: 07/20/2022] [Indexed: 11/27/2022] Open
Abstract
Worldwide, lung cancer (LC) is the most common cause of cancer death, and any delay in the detection of new and relapsed disease serves as a major factor for a significant proportion of LC morbidity and mortality. Though invasive methods such as tissue biopsy are considered the gold standard for diagnosis and disease monitoring, they have several limitations. Therefore, there is an urgent need to identify and validate non-invasive biomarkers for the early diagnosis, prognosis, and treatment of lung cancer for improved patient management. Despite recent progress in the identification of non-invasive biomarkers, currently, there is a shortage of reliable and accessible biomarkers demonstrating high sensitivity and specificity for LC detection. In this review, we aim to cover the latest developments in the field, including the utility of biomarkers that are currently used in LC screening and diagnosis. We comment on their limitations and summarise the findings and developmental stages of potential molecular contenders such as microRNAs, circulating tumour DNA, and methylation markers. Furthermore, we summarise research challenges in the development of biomarkers used for screening purposes and the potential clinical applications of newly discovered biomarkers.
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Khan FH, Bhat BA, Sheikh BA, Tariq L, Padmanabhan R, Verma JP, Shukla AC, Dowlati A, Abbas A. Microbiome dysbiosis and epigenetic modulations in lung cancer: From pathogenesis to therapy. Semin Cancer Biol 2022; 86:732-742. [PMID: 34273520 DOI: 10.1016/j.semcancer.2021.07.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 06/25/2021] [Accepted: 07/11/2021] [Indexed: 02/07/2023]
Abstract
The lung microbiome plays an essential role in maintaining healthy lung function, including host immune homeostasis. Lung microbial dysbiosis or disruption of the gut-lung axis can contribute to lung carcinogenesis by causing DNA damage, inducing genomic instability, or altering the host's susceptibility to carcinogenic insults. Thus far, most studies have reported the association of microbial composition in lung cancer. Mechanistic studies describing host-microbe interactions in promoting lung carcinogenesis are limited. Considering cancer as a multifaceted disease where epigenetic dysregulation plays a critical role, epigenetic modifying potentials of microbial metabolites and toxins and their roles in lung tumorigenesis are not well studied. The current review explains microbial dysbiosis and epigenetic aberrations in lung cancer and potential therapeutic opportunities.
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Affiliation(s)
- Faizan Haider Khan
- Discipline of Pathology, Lambe Institute for Translational Research, School of Medicine, National University of Ireland Galway, Galway, Ireland
| | | | | | - Lubna Tariq
- Department of Biotechnology, Baba Ghulam Shah Badshah University, Rajouri, India
| | - Roshan Padmanabhan
- Department of Medicine, Case Western Reserve University, and University Hospital, Cleveland, OH, 44106, USA
| | - Jay Prakash Verma
- Institute of Environment and Sustainable Development, Banaras Hindu University Varanasi, India
| | | | - Afshin Dowlati
- Division of Hematology and Oncology, Department of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA; University Hospitals Seidman Cancer Center, Cleveland, OH, 44106, USA; Developmental Therapeutics Program, Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, 44116, USA
| | - Ata Abbas
- Division of Hematology and Oncology, Department of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA; Developmental Therapeutics Program, Case Comprehensive Cancer Center, Case Western Reserve University School of Medicine, Cleveland, OH, 44116, USA.
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5
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Fabrizio FP, Castellana S, Centra F, Sparaneo A, Mastroianno M, Mazza T, Coco M, Trombetta D, Cingolani N, Centonza A, Graziano P, Maiello E, Fazio VM, Muscarella LA. Design and experimental validation of OPERA_MET-A panel for deep methylation analysis by next generation sequencing. Front Oncol 2022; 12:968804. [PMID: 36033501 PMCID: PMC9404304 DOI: 10.3389/fonc.2022.968804] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Accepted: 07/22/2022] [Indexed: 11/13/2022] Open
Abstract
DNA methylation is the most recognized epigenetic mark that leads to a massive distortion in cancer cells. It has been observed that a large number of DNA aberrant methylation events occur simultaneously in a group of genes, thus providing a growth advantage to the cell in promoting cell differentiation and neoplastic transformation. Due to this reason, methylation profiles have been suggested as promising cancer biomarkers. Here, we designed and performed a first step of validation of a novel targeted next generation sequencing (NGS) panel for methylation analysis, which can simultaneously evaluate the methylation levels at CpG sites of multiple cancer-related genes. The OPERA_MET-A methylation panel was designed using the Ion AmpliSeq™ technology to amplify 155 regions with 125-175 bp mean length and covers a total of 1107 CpGs of 18 cancer-related genes. The performance of the panel was assessed by running commercially available fully methylated and unmethylated control human genomic DNA (gDNA) samples and a variable mixture of them. The libraries were run on Ion Torrent platform and the sequencing output was analyzed using the “methylation_analysis” plugin. DNA methylation calls on both Watson (W) and Crick (C) strands and methylated:unmethylated ratio for each CpG site were obtained. Cell lines, fresh frozen and formalin-fixed paraffin-embedded (FFPE) lung cancer tissues were tested. The OPERA_MET-A panel allows to run a minimum of 6 samples/530 chip to reach an observed mean target depth ≥2,500X (W and C strands) and an average number of mapped reads >750,000/sample. The conversion efficiency, determined by spiking-in unmethylated Lambda DNA into each sample before the bisulfite conversion process, was >97% for all samples. The observed percentage of global methylation for all CpGs was >95% and <5% for fully methylated and unmethylated gDNA samples, respectively, and the observed results for the variable mixtures were in agreement with what was expected. Methylation-specific NGS analysis represents a feasible method for a fast and multiplexed screening of cancer patients by a high-throughput approach. Moreover, it offers the opportunity to construct a more robust algorithm for disease prediction in cancer patients having a low quantity of biological material available.
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Affiliation(s)
- Federico Pio Fabrizio
- Laboratory of Oncology, Fondazione IRCCS, Scientific Institute for Research and Health Care Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
- *Correspondence: Federico Pio Fabrizio, ; Lucia Anna Muscarella,
| | - Stefano Castellana
- Unit of Bioinformatics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Flavia Centra
- Laboratory of Oncology, Fondazione IRCCS, Scientific Institute for Research and Health Care Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Angelo Sparaneo
- Laboratory of Oncology, Fondazione IRCCS, Scientific Institute for Research and Health Care Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Mario Mastroianno
- Scientific Direction, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Tommaso Mazza
- Unit of Bioinformatics, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Michelina Coco
- Laboratory of Oncology, Fondazione IRCCS, Scientific Institute for Research and Health Care Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Domenico Trombetta
- Laboratory of Oncology, Fondazione IRCCS, Scientific Institute for Research and Health Care Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Nicola Cingolani
- Unit of Pathology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Antonella Centonza
- Unit of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Paolo Graziano
- Unit of Pathology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Evaristo Maiello
- Unit of Oncology, Fondazione IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
| | - Vito Michele Fazio
- Laboratory of Oncology, Fondazione IRCCS, Scientific Institute for Research and Health Care Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
- Laboratory of Molecular Medicine and Biotechnology, University Campus Bio-Medico of Rome, Rome, Italy
- Institute of Translational Pharmacology, National Research Council of Italy (CNR), Rome, Italy
| | - Lucia Anna Muscarella
- Laboratory of Oncology, Fondazione IRCCS, Scientific Institute for Research and Health Care Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy
- *Correspondence: Federico Pio Fabrizio, ; Lucia Anna Muscarella,
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Comparison of tumor and two types of paratumoral tissues highlighted epigenetic regulation of transcription during field cancerization in non-small cell lung cancer. BMC Med Genomics 2022; 15:66. [PMID: 35313869 PMCID: PMC8939144 DOI: 10.1186/s12920-022-01192-1] [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: 07/08/2021] [Accepted: 02/18/2022] [Indexed: 11/17/2022] Open
Abstract
Background Field cancerization is the process in which a population of normal or pre-malignant cells is affected by oncogenic alterations leading to progressive molecular changes that drive malignant transformation. Aberrant DNA methylation has been implicated in early cancer development in non-small cell lung cancer (NSCLC); however, studies on its role in field cancerization (FC) are limited. This study aims to identify FC-specific methylation patterns that could distinguish between pre-malignant lesions and tumor tissues in NSCLC. Methods We enrolled 52 patients with resectable NSCLC and collected resected tumor (TUM), tumor-adjacent (ADJ) and tumor-distant normal (DIS) tissue samples, among whom 36 qualified for subsequent analyses. Methylation levels were profiled by bisulfite sequencing using a custom lung-cancer methylation panel. Results ADJ and DIS samples demonstrated similar methylation profiles, which were distinct from distinct from that of TUM. Comparison of TUM and DIS profiles led to identification of 1740 tumor-specific differential methylated regions (DMRs), including 1675 hypermethylated and 65 hypomethylated (adjusted P < 0.05). Six of the top 10 tumor-specific hypermethylated regions were associated with cancer development. We then compared the TUM, ADJ, and DIS to further identify the progressively aggravating aberrant methylations during cancer initiation and early development. A total of 332 DMRs were identified, including a predominant proportion of 312 regions showing stepwise increase in methylation levels as the sample drew nearer to the tumor (i.e. DIS < ADJ < TUM) and 20 regions showing a stepwise decrease pattern. Gene set enrichment analysis (GSEA) for KEGG and GO terms consistently suggested enrichment of DMRs located in transcription factor genes, suggesting a central role of epigenetic regulation of transcription factors in FC and tumorigenesis. Conclusion We revealed distinct methylation patterns between pre-malignant lesions and malignant tumors, suggesting the essential role of DNA methylation as an early step in pre-malignant field defects. Moreover, our study also identified differentially methylated genes, especially transcription factors, that could potentially be used as markers for lung cancer screening and for mechanistic studies of FC and early cancer development. Supplementary Information The online version contains supplementary material available at 10.1186/s12920-022-01192-1.
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Hoang PH, Landi MT. DNA Methylation in Lung Cancer: Mechanisms and Associations with Histological Subtypes, Molecular Alterations, and Major Epidemiological Factors. Cancers (Basel) 2022; 14:cancers14040961. [PMID: 35205708 PMCID: PMC8870477 DOI: 10.3390/cancers14040961] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 12/14/2021] [Accepted: 02/11/2022] [Indexed: 01/27/2023] Open
Abstract
Lung cancer is the major leading cause of cancer-related mortality worldwide. Multiple epigenetic factors-in particular, DNA methylation-have been associated with the development of lung cancer. In this review, we summarize the current knowledge on DNA methylation alterations in lung tumorigenesis, as well as their associations with different histological subtypes, common cancer driver gene mutations (e.g., KRAS, EGFR, and TP53), and major epidemiological risk factors (e.g., sex, smoking status, race/ethnicity). Understanding the mechanisms of DNA methylation regulation and their associations with various risk factors can provide further insights into carcinogenesis, and create future avenues for prevention and personalized treatments. In addition, we also highlight outstanding questions regarding DNA methylation in lung cancer to be elucidated in future studies.
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Liu Y, Feng Y, Hou T, Lizaso A, Xu F, Xing P, Wang H, Kang Q, Zhang L, Shi Y, Hu X. Investigation on the potential of circulating tumor DNA methylation patterns as prognostic biomarkers for lung squamous cell carcinoma. Transl Lung Cancer Res 2020; 9:2356-2366. [PMID: 33489798 PMCID: PMC7815356 DOI: 10.21037/tlcr-20-1070] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Background Aberrant epigenetic modifications play a key role in lung tumorigenesis. In our study, we aimed to explore the clinical implications of baseline circulating tumor DNA (ctDNA) somatic and methylation profiles in patients with lung squamous cell carcinoma (LUSC). Methods A total of 26 patients with LUSC of various stages were included in this study. Somatic mutations and methylation levels were profiled from the plasma-derived ctDNA obtained at the time of diagnosis using unique molecular identifier (UMI)-based targeted sequencing and bisulfite sequencing, respectively. The correlation between baseline ctDNA mutation and methylation profile, and overall survival (OS), were analyzed. Results Somatic mutations were detected in 80.8% (20/26) of the patients. Patients harboring somatic mutations with maximum allelic fraction (maxAF) of >5% had significantly shorter OS compared to those with maxAF ≤5% (7.1 vs. 54.6 months; P=0.020). ctDNA methylation level was found to be strongly correlated with maxAF (Pearson correlation =0.934; P<0.001). Consistent with maxAF, higher methylation levels were also associated with poorer OS (hazard ratio =2.377; 95% CI: 1.283–4.405; P=0.006). Moreover, a total of 1,956 ctDNA methylation blocks were differentially methylated in patients with maxAF >0 (P<0.05). Least absolute shrinkage and selection operator (LASSO) regression analysis revealed a significant correlation between methylation signatures from 5 methylation blocks and OS (hazard ratio =183.20, 95% CI: 2.74–12,243.32; P=0.015). These 5 methylation blocks could serve as an alternative to maxAF and can be explored as prognostic biomarkers. Conclusions Our study identified several ctDNA methylation blocks that can potentially predict the prognosis of LUSC at the time of diagnosis.
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Affiliation(s)
- Yutao Liu
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Yu Feng
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Ting Hou
- Burning Rock Biotech, Guangzhou, China
| | | | - Feng Xu
- Burning Rock Biotech, Guangzhou, China
| | - Puyuan Xing
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Hongyu Wang
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | | | - Lu Zhang
- Burning Rock Biotech, Guangzhou, China
| | - Yuankai Shi
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Xingsheng Hu
- Department of Medical Oncology, Beijing Key Laboratory of Clinical Study on Anticancer Molecular Targeted Drugs, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
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Farooq M, Herman JG. Noninvasive Diagnostics for Early Detection of Lung Cancer: Challenges and Potential with a Focus on Changes in DNA Methylation. Cancer Epidemiol Biomarkers Prev 2020; 29:2416-2422. [PMID: 33148791 DOI: 10.1158/1055-9965.epi-20-0704] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2020] [Revised: 08/20/2020] [Accepted: 10/13/2020] [Indexed: 11/16/2022] Open
Abstract
Lung cancer remains the leading cause of cancer deaths in the United States and the world. Early detection of this disease can reduce mortality, as demonstrated for low-dose computed tomography (LDCT) screening. However, there remains a need for improvements in lung cancer detection to complement LDCT screening and to increase adoption of screening. Molecular changes in the tumor, and the patient's response to the presence of the tumor, have been examined as potential biomarkers for diagnosing lung cancer. There are significant challenges to developing an effective biomarker with sufficient sensitivity and specificity for the early detection of lung cancer, particularly the detection of circulating tumor DNA, which is present in very small quantities. We will review approaches to develop biomarkers for the early detection of lung cancer, with special consideration to detection of rare tumor events, focus on the use of DNA methylation-based detection in plasma and sputum, and discuss the promise and challenges of lung cancer early detection. Plasma-based detection of lung cancer DNA methylation may provide a simple cost-effective method for the early detection of lung cancer.See all articles in this CEBP Focus section, "NCI Early Detection Research Network: Making Cancer Detection Possible."
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Affiliation(s)
- Maria Farooq
- Department of Medicine, The University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania
| | - James G Herman
- Department of Medicine, The University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania. .,UPMC Hillman Comprehensive Cancer Center, Pittsburgh, Pennsylvania
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Pangeni RP, Yang L, Zhang K, Wang J, Li W, Guo C, Yun X, Sun T, Wang J, Raz DJ. G9a regulates tumorigenicity and stemness through genome-wide DNA methylation reprogramming in non-small cell lung cancer. Clin Epigenetics 2020; 12:88. [PMID: 32552834 PMCID: PMC7302379 DOI: 10.1186/s13148-020-00879-5] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Accepted: 06/04/2020] [Indexed: 12/17/2022] Open
Abstract
Background Eukaryotic histone methyltransferases 2 (EHMT2 or G9A) has been regarded as a potential target for non-small cell lung cancer (NSCLC) therapy. This study investigated the regulatory roles of G9A in tumorigenesis and stemness in NSCLC. We isolated and enriched tumor-initiating cells (TIC) from surgically resected NSCLC tissues by FACS and sphere formation assays. We then knocked down G9A using shRNA and carried out genome-wide 850K methylation array and RNA sequencing analyses. We carried out in vivo tumorigenecity asssay using mice xenografts and examined G9A interactions with its novel target using chromatin Immunoprecipitation (ChIP). Results We identified 67 genes hypomethylated and 143 genes upregulated following G9A knockdown of which 43 genes were both hypomethylated and upregulated. We selected six genes (CDYL2, DPP4, SP5, FOXP1, STAMBPL1, and ROBO1) for validation. In addition, G9A expression was higher in TICs and targeting G9a by shRNA knockdown or by selective inhibitor UNC0642 significantly inhibited the expression of cancer stem cell markers and sphere forming capacity, in vitro proliferation, and in vivo growth. Further, transient overexpression of FOXP1, a protein may promote normal stem cell differentiation, in TICs resulted in downregulation of stem cell markers and sphere forming capacity and cell proliferation in vitro indicating that the genes we identified are directly regulated by G9A through aberrant DNA methylation and subsequent expression. Similarly, ChIP assay has shown that G9a interacts with its target genes through H3K9me2 and downregulation of H3K9me2 following G9a knockdown disrupts its interaction with its target genes. Conclusions These data suggest that G9A is involved in lung cancer stemness through epigenetic mechanisms of maintaining DNA methylation of multiple lung cancer stem cell genes and their expression. Further, targeting G9A or its downstream genes could be a novel therapeutic approach in treating NSCLC patients.
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Affiliation(s)
- Rajendra P Pangeni
- Division of Thoracic Surgery, City of Hope National Medical Center, Duarte, CA, 91010, USA.
| | - Lu Yang
- Department of System Biology, Beckman Research Institute, City of Hope National Medical Centre, Duarte, CA, USA
| | - Keqiang Zhang
- Division of Thoracic Surgery, City of Hope National Medical Center, Duarte, CA, 91010, USA
| | - Jinhui Wang
- The Integrative Genomics Core Lab, Department of Molecular Medicine, City of Hope National Medical Center, Duarte, CA, USA
| | - Wendong Li
- Division of Thoracic Surgery, City of Hope National Medical Center, Duarte, CA, 91010, USA
| | - Chao Guo
- The Integrative Genomics Core Lab, Department of Molecular Medicine, City of Hope National Medical Center, Duarte, CA, USA.,Frey Medical Laboratory, Maoling Rd, Jinan District, Fuzhou, Fujian, China
| | - Xinwei Yun
- Division of Thoracic Surgery, City of Hope National Medical Center, Duarte, CA, 91010, USA.,Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China
| | - Ting Sun
- Division of Thoracic Surgery, City of Hope National Medical Center, Duarte, CA, 91010, USA
| | - Jami Wang
- Division of Thoracic Surgery, City of Hope National Medical Center, Duarte, CA, 91010, USA.,Western University of Health Sciences, Pomona, CA, USA
| | - Dan J Raz
- Division of Thoracic Surgery, City of Hope National Medical Center, Duarte, CA, 91010, USA.
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11
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Zhu Q, Wang J, Zhang Q, Wang F, Fang L, Song B, Xie C, Liu J. Methylation‑driven genes PMPCAP1, SOWAHC and ZNF454 as potential prognostic biomarkers in lung squamous cell carcinoma. Mol Med Rep 2020; 21:1285-1295. [PMID: 32016477 PMCID: PMC7002985 DOI: 10.3892/mmr.2020.10933] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Accepted: 12/18/2019] [Indexed: 02/06/2023] Open
Abstract
Of the different types of lung cancer, lung squamous cell cancer (LUSC) has the second highest rates of morbidity and mortality, which have been increasing in recent years. Epigenetic abnormalities may serve as potential biomarkers and diagnostic and/or therapeutic targets, which may help to monitor and improve the prognosis of patients with cancer. In the present study, data were obtained from The Cancer Genome Atlas database and survival and joint survival analyses were conducted using the R MethylMix package. Peptidase, mitochondrial processing a subunit pseudogene 1 (PMPCAP1), sosondowah ankyrin repeat domain family member C (SOWAHC) and zinc finger protein (ZNF) 454 were identified as independent prognosis‑related hub methylation‑driven genes (MDGs). Of these three genes, PMPCAP1 and SOWAHC, characterized by hypomethylation and high expression levels, were associated with poor prognosis in patients with LUSC, whilst ZNF454 was associated with an improved prognosis. In addition, pathway enrichment analysis suggested that PMPCAP1, SOWAHC and ZNF454 were primarily involved in gene expression or transcription pathways. Furthermore, 5, 1 and 10 key methylation sites of PMPCAP1, SOWAHC and ZNF454, respectively, were confirmed to be significantly relevant to gene expression, establishing a basis for further investigation into the mechanisms and more precise targets of these 3 genes. In conclusion, the MDGs PMPCAP1, SOWAHC and ZNF454 may be potential prognostic biomarkers of LUSC for guiding diagnosis and therapy options, as well as providing a theoretical basis for further investigation.
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Affiliation(s)
- Qingqing Zhu
- School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong 250022, P.R. China
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, P.R. China
| | - Jia Wang
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, P.R. China
- Department of Oncology, Zibo Maternal and Child Health Hospital, Zibo, Shandong 255000, P.R. China
| | - Qiujing Zhang
- School of Medicine and Life Sciences, University of Jinan-Shandong Academy of Medical Sciences, Jinan, Shandong 250022, P.R. China
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, P.R. China
| | - Fuxia Wang
- Department of Oncology, Yun Cheng Country People's Hospital, Heze, Shandong 274700, P.R. China
| | - Lihua Fang
- Department of Oncology, Chang Qing District People's Hospital, Jinan, Shandong 250300, P.R. China
| | - Bao Song
- Basic Laboratory, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, P.R. China
| | - Chao Xie
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, P.R. China
| | - Jie Liu
- Department of Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, P.R. China
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12
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Tian Q, Zou J, Fang Y, Yu Z, Tang J, Song Y, Fan S. A Hybrid Ensemble Approach for Identifying Robust Differentially Methylated Loci in Pan-Cancers. Front Genet 2019; 10:774. [PMID: 31543899 PMCID: PMC6739624 DOI: 10.3389/fgene.2019.00774] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 07/23/2019] [Indexed: 12/14/2022] Open
Abstract
DNA methylation is a widely investigated epigenetic mark that plays a vital role in tumorigenesis. Advancements in high-throughput assays, such as the Infinium 450K platform, provide genome-scale DNA methylation landscapes in single-CpG locus resolution, and the identification of differentially methylated loci has become an insightful approach to deepen our understanding of cancers. However, the situation with extremely unbalanced numbers of samples and loci (approximately 1:1,000) makes it rather difficult to explore differential methylation between the sick and the normal. In this article, a hybrid approach based on ensemble feature selection for identifying differentially methylated loci (HyDML) was proposed by incorporating instance perturbation and multiple function models. Experiments on data from The Cancer Genome Atlas showed that HyDML not only achieved effective DML identification, but also outperformed the single-feature selection approach in terms of classification performance and the robustness of feature selection. The intensive analysis of the DML indicated that different types of cancers have mutual patterns, and the stable DML sharing in pan-cancers is of the great potential to be biomarkers, which may strengthen the confidence of domain experts to implement biological validations.
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Affiliation(s)
- Qi Tian
- School of Automation Engineering, University of Electronic Science and Technology of China
| | - Jianxiao Zou
- School of Automation Engineering, University of Electronic Science and Technology of China
| | - Yuan Fang
- School of Automation Engineering, University of Electronic Science and Technology of China
| | - Zhongli Yu
- School of Automation Engineering, University of Electronic Science and Technology of China
| | - Jianxiong Tang
- School of Automation Engineering, University of Electronic Science and Technology of China
| | - Ying Song
- School of Automation Engineering, University of Electronic Science and Technology of China
| | - Shicai Fan
- School of Automation Engineering, University of Electronic Science and Technology of China.,Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu, China
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13
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Hata A, Nakajima T, Matsusaka K, Fukuyo M, Morimoto J, Yamamoto T, Sakairi Y, Rahmutulla B, Ota S, Wada H, Suzuki H, Matsubara H, Yoshino I, Kaneda A. A low DNA methylation epigenotype in lung squamous cell carcinoma and its association with idiopathic pulmonary fibrosis and poorer prognosis. Int J Cancer 2019; 146:388-399. [PMID: 31241180 DOI: 10.1002/ijc.32532] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2019] [Revised: 06/09/2019] [Accepted: 06/14/2019] [Indexed: 12/25/2022]
Abstract
Patients with idiopathic pulmonary fibrosis (IPF) have higher risk of developing lung cancer, for example, squamous cell carcinoma (SCC), and show poor prognosis, while the molecular basis has not been fully investigated. Here we conducted DNA methylome analysis of lung SCC using 20 SCC samples with/without IPF, and noncancerous lung tissue samples from smokers/nonsmokers, using Infinium HumanMethylation 450K array. SCC was clustered into low- and high-methylation epigenotypes by hierarchical clustering analysis. Genes hypermethylated in SCC significantly included genes targeted by polycomb repressive complex in embryonic stem cells, and genes associated with Gene Ontology terms, for example, "transcription" and "cell adhesion," while genes hypermethylated specifically in high-methylation subgroup significantly included genes associated with "negative regulation of growth." Low-methylation subgroup significantly correlated with IPF (78%, vs. 17% in high-methylation subgroup, p = 0.04), and the correlation was validated by additional Infinium analysis of SCC samples (n = 44 in total), and data from The Cancer Genome Atlas (n = 390). The correlation between low-methylation subgroup and IPF was further validated by quantitative methylation analysis of marker genes commonly hypermethylated in SCC (HOXA2, HOXA9 and PCDHGB6), and markers specifically hypermethylated in high-methylation subgroup (DLEC1, CFTR, MT1M, CRIP3 and ALDH7A1) in 77 SCC cases using pyrosequencing (p = 0.003). Furthermore, low-methylation epigenotype significantly correlated with poorer prognosis among all SCC patients, or among patients without IPF. Multivariate analysis showed that low-methylation epigenotype is an independent predictor of poor prognosis. These may suggest that lung SCC could be stratified into molecular subtypes with distinct prognosis, and low-methylation lung SCC that significantly correlates with IPF shows unfavorable outcome.
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Affiliation(s)
- Atsushi Hata
- Department of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan.,Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takahiro Nakajima
- Department of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Keisuke Matsusaka
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Masaki Fukuyo
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan.,Department of Genome Research and Development, Kazusa DNA Research Institute, Chiba, Japan
| | - Junichi Morimoto
- Department of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Takayoshi Yamamoto
- Department of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Yuichi Sakairi
- Department of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Bahityar Rahmutulla
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Satoshi Ota
- Department of Pathology, Chiba University Hospital, Chiba, Japan
| | - Hironobu Wada
- Department of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Hidemi Suzuki
- Department of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Hisahiro Matsubara
- Department of Frontier Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Ichiro Yoshino
- Department of General Thoracic Surgery, Graduate School of Medicine, Chiba University, Chiba, Japan
| | - Atsushi Kaneda
- Department of Molecular Oncology, Graduate School of Medicine, Chiba University, Chiba, Japan
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14
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Sarne V, Braunmueller S, Rakob L, Seeboeck R. The Relevance of Gender in Tumor-Influencing Epigenetic Traits. EPIGENOMES 2019; 3:epigenomes3010006. [PMID: 34991275 PMCID: PMC8594720 DOI: 10.3390/epigenomes3010006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Revised: 01/20/2019] [Accepted: 01/24/2019] [Indexed: 12/22/2022] Open
Abstract
Tumorigenesis as well as the molecular orchestration of cancer progression are very complex mechanisms that comprise numerous elements of influence and regulation. Today, many of the major concepts are well described and a basic understanding of a tumor's fine-tuning is given. Throughout the last decade epigenetics has been featured in cancer research and it is now clear that the underlying mechanisms, especially DNA and histone modifications, are important regulators of carcinogenesis and tumor progression. Another key regulator, which is well known but has been neglected in scientific approaches as well as molecular diagnostics and, consequently, treatment conceptualization for a long time, is the subtle influence patient gender has on molecular processes. Naturally, this is greatly based on hormonal differences, but from an epigenetic point of view, the diverse susceptibility to stress and environmental influences is of prime interest. In this review we present the current view on which and how epigenetic modifications, emphasizing DNA methylation, regulate various tumor diseases. It is our aim to elucidate gender and epigenetics and their interconnectedness, which will contribute to understanding of the prospect molecular orchestration of cancer in individual tumors.
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15
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Lu Y, Li S, Zhu S, Gong Y, Shi J, Xu L. Methylated DNA/RNA in Body Fluids as Biomarkers for Lung Cancer. Biol Proced Online 2017; 19:2. [PMID: 28331435 PMCID: PMC5356409 DOI: 10.1186/s12575-017-0051-8] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2017] [Accepted: 03/02/2017] [Indexed: 12/21/2022] Open
Abstract
DNA/RNA methylation plays an important role in lung cancer initiation and progression. Liquid biopsy makes use of cells, nucleotides and proteins released from tumor cells into body fluids to help with cancer diagnosis and prognosis. Methylation of circulating tumor DNA (ctDNA) has gained increasing attention as biomarkers for lung cancer. Here we briefly introduce the biological basis and detection method of ctDNA methylation, and review various applications of methylated DNA in body fluids in lung cancer screening, diagnosis, prognosis, monitoring and treatment prediction. We also discuss the emerging role of RNA methylation as biomarkers for cancer.
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Affiliation(s)
- Yan Lu
- No.2 oncology department, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, No.110, Ganhe Rd, Shanghai, China
| | - Shulin/Sl Li
- MD Anderson Cancer Center, the university of Texas, 1840 Old Spanish Trail, Houston, TX USA
| | - Shiguo/Sg Zhu
- Department of Immunology and Pathogenic Biology, School of Basic Medical Sciences, Shanghai University of Traditional Chinese Medicine, 1200 Cai Lun Rd, Shanghai, China
| | - Yabin/Yb Gong
- No.2 oncology department, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, No.110, Ganhe Rd, Shanghai, China
| | - Jun/J Shi
- No.2 oncology department, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, No.110, Ganhe Rd, Shanghai, China
| | - Ling/L Xu
- No.2 oncology department, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, No.110, Ganhe Rd, Shanghai, China
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Abstract
Lung cancer is the leading cause of cancer-related deaths worldwide. Recent implementation of low-dose computed tomography (LDCT) screening is predicted to lead to diagnosis of lung cancer at an earlier stage, with survival benefit. However, there is still a pressing need for biomarkers that will identify individuals eligible for screening, as well as improve the diagnostic accuracy of LDCT. In addition, biomarkers for prognostic stratification of patients with early stage disease, and those that can be used as surrogates to monitor tumor evolution, will greatly improve clinical management. Molecular alterations found in the DNA of tumor cells, such as mutations, translocations and methylation, are reflected in DNA that is released from the tumor into the bloodstream. Thus, in recent years, circulating tumor DNA (ctDNA) has gained increasing attention as a noninvasive alternative to tissue biopsies and potential surrogate for the entire tumor genome. Activating gene mutations found in ctDNA have been proven effective in predicting response to targeted therapy. Analysis of ctDNA is also a valuable tool for longitudinal follow-up of cancer patients that does not require serial biopsies and may anticipate the acquisition of resistance. DNA methylation has also emerged as a promising marker for early detection, prognosis and real-time follow-up of tumor dynamics that is independent of the genomic composition of the primary tumor. This review summarizes the various investigational applications of methylated ctDNA in lung cancer reported to date. It also provides a brief overview of the technologies for analysis of DNA methylation in liquid biopsies, and the challenges that befall the implementation of methylated ctDNA into routine clinical practice.
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Affiliation(s)
- Delphine Lissa
- Laboratory of Human Carcinogenesis, National Cancer Institute, NIH, Bethesda, MD 20892, USA
| | - Ana I Robles
- Laboratory of Human Carcinogenesis, National Cancer Institute, NIH, Bethesda, MD 20892, USA
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17
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Moorthy B, Chu C, Carlin DJ. Polycyclic aromatic hydrocarbons: from metabolism to lung cancer. Toxicol Sci 2016; 145:5-15. [PMID: 25911656 DOI: 10.1093/toxsci/kfv040] [Citation(s) in RCA: 430] [Impact Index Per Article: 53.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Excessive exposure to polycyclic aromatic hydrocarbons (PAHs) often results in lung cancer, a disease with the highest cancer mortality in the United States. After entry into the lung, PAHs induce phase I metabolic enzymes such as cytochrome P450 (CYP) monooxygenases, i.e. CYP1A1/2 and 1B1, and phase II enzymes such as glutathione S-transferases, UDP glucuronyl transferases, NADPH quinone oxidoreductases (NQOs), aldo-keto reductases (AKRs), and epoxide hydrolases (EHs), via the aryl hydrocarbon receptor (AhR)-dependent and independent pathways. Humans can also be exposed to PAHs through diet, via consumption of charcoal broiled foods. Metabolism of PAHs through the CYP1A1/1B1/EH pathway, CYP peroxidase pathway, and AKR pathway leads to the formation of the active carcinogens diol-epoxides, radical cations, and o-quinones. These reactive metabolites produce DNA adducts, resulting in DNA mutations, alteration of gene expression profiles, and tumorigenesis. Mutations in xenobiotic metabolic enzymes, as well as polymorphisms of tumor suppressor genes (e.g. p53) and/or genes involved in gene expression (e.g. X-ray repair cross-complementing proteins), are associated with lung cancer susceptibility in human populations from different ethnicities, gender, and age groups. Although various metabolic activation/inactivation pathways, AhR signaling, and genetic susceptibilities contribute to lung cancer, the precise points at which PAHs induce tumor initiation remain unknown. The goal of this review is to provide a current state-of-the-science of the mechanisms of human lung carcinogenesis mediated by PAHs, the experimental approaches used to study this complex class of compounds, and future directions for research of these compounds.
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Affiliation(s)
- Bhagavatula Moorthy
- *Department of Pediatrics, Baylor College of Medicine, Houston, Texas and Division of Extramural Research and Training, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709
| | - Chun Chu
- *Department of Pediatrics, Baylor College of Medicine, Houston, Texas and Division of Extramural Research and Training, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709
| | - Danielle J Carlin
- *Department of Pediatrics, Baylor College of Medicine, Houston, Texas and Division of Extramural Research and Training, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709
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18
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An Integrated Prognostic Classifier for Stage I Lung Adenocarcinoma Based on mRNA, microRNA, and DNA Methylation Biomarkers. J Thorac Oncol 2016; 10:1037-48. [PMID: 26134223 DOI: 10.1097/jto.0000000000000560] [Citation(s) in RCA: 91] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
INTRODUCTION Up to 30% stage I lung cancer patients suffer recurrence within 5 years of curative surgery. We sought to improve existing protein-coding gene and microRNA expression prognostic classifiers by incorporating epigenetic biomarkers. METHODS Genome-wide screening of DNA methylation and pyrosequencing analysis of HOXA9 promoter methylation were performed in two independently collected cohorts of stage I lung adenocarcinoma. The prognostic value of HOXA9 promoter methylation alone and in combination with mRNA and miRNA biomarkers was assessed by Cox regression and Kaplan-Meier survival analysis in both cohorts. RESULTS Promoters of genes marked by polycomb in embryonic stem cells were methylated de novo in tumors and identified patients with poor prognosis. The HOXA9 locus was methylated de novo in stage I tumors (p < 0.0005). High HOXA9 promoter methylation was associated with worse cancer-specific survival (hazard ratio [HR], 2.6; p = 0.02) and recurrence-free survival (HR, 3.0; p = 0.01), and identified high-risk patients in stratified analysis of stages IA and IB. Four protein-coding gene (XPO1, BRCA1, HIF1α, and DLC1), miR-21 expression, and HOXA9 promoter methylation were each independently associated with outcome (HR, 2.8; p = 0.002; HR, 2.3; p = 0.01; and HR, 2.4; p = 0.005, respectively), and when combined, identified high-risk, therapy naive, stage I patients (HR, 10.2; p = 3 × 10). All associations were confirmed in two independently collected cohorts. CONCLUSION A prognostic classifier comprising three types of genomic and epigenomic data may help guide the postoperative management of stage I lung cancer patients at high risk of recurrence.
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19
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Ayyala DN, Frankhouser DE, Ganbat JO, Marcucci G, Bundschuh R, Yan P, Lin S. Statistical methods for detecting differentially methylated regions based on MethylCap-seq data. Brief Bioinform 2015; 17:926-937. [PMID: 26454095 DOI: 10.1093/bib/bbv089] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2015] [Revised: 08/15/2015] [Indexed: 12/11/2022] Open
Abstract
DNA methylation is a well-established epigenetic mark, whose pattern throughout the genome, especially in the promoter or CpG islands, may be modified in a cell at a disease stage. Recently developed probabilistic approaches allow distributing methylation signals at nucleotide resolution from MethylCap-seq data. Standard statistical methods for detecting differential methylation suffer from 'curse of dimensionality' and sparsity in signals, resulting in high false-positive rates. Strong correlation of signals between CG sites also yields spurious results. In this article, we review applicability of high-dimensional mean vector tests for detection of differentially methylated regions (DMRs) and compare and contrast such tests with other methods for detecting DMRs. Comprehensive simulation studies are conducted to highlight the performance of these tests under different settings. Based on our observation, we make recommendations on the optimal test to use. We illustrate the superiority of mean vector tests in detecting cancer-related canonical gene pathways, which are significantly enriched for acute myeloid leukemia and ovarian cancer.
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20
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Integrated analysis of epigenomic and genomic changes by DNA methylation dependent mechanisms provides potential novel biomarkers for prostate cancer. Oncotarget 2015; 5:7858-69. [PMID: 25277202 PMCID: PMC4202166 DOI: 10.18632/oncotarget.2313] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Epigenetic silencing mediated by CpG methylation is a common feature of many cancers. Characterizing aberrant DNA methylation changes associated with tumor progression may identify potential prognostic markers for prostate cancer (PCa). We treated two PCa cell lines, 22Rv1 and DU-145 with the demethylating agent 5-Aza 2’–deoxycitidine (DAC) and global methylation status was analyzed by performing methylation-sensitive restriction enzyme based differential methylation hybridization strategy followed by genome-wide CpG methylation array profiling. In addition, we examined gene expression changes using a custom microarray. Gene Set Enrichment Analysis (GSEA) identified the most significantly dysregulated pathways. In addition, we assessed methylation status of candidate genes that showed reduced CpG methylation and increased gene expression after DAC treatment, in Gleason score (GS) 8 vs. GS6 patients using three independent cohorts of patients; the publically available The Cancer Genome Atlas (TCGA) dataset, and two separate patient cohorts. Our analysis, by integrating methylation and gene expression in PCa cell lines, combined with patient tumor data, identified novel potential biomarkers for PCa patients. These markers may help elucidate the pathogenesis of PCa and represent potential prognostic markers for PCa patients.
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21
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Marzese DM, Hoon DS. Emerging technologies for studying DNA methylation for the molecular diagnosis of cancer. Expert Rev Mol Diagn 2015; 15:647-64. [PMID: 25797072 DOI: 10.1586/14737159.2015.1027194] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
DNA methylation is an epigenetic mechanism that plays a key role in regulating gene expression and other functions. Although this modification is seen in different sequence contexts, the most frequently detected DNA methylation in mammals involves cytosine-guanine dinucleotides. Pathological alterations in DNA methylation patterns are described in a variety of human diseases, including cancer. Unlike genetic changes, DNA methylation is heavily influenced by subtle modifications in the cellular microenvironment. In all cancers, aberrant DNA methylation is involved in the alteration of a large number of oncological pathways with relevant theranostic utility. Several technologies for DNA methylation mapping have been developed recently and successfully applied in cancer studies. The scope of these technologies varies from assessing a single cytosine-guanine locus to genome-wide distribution of DNA methylation. Here, we review the strengths and weaknesses of these approaches in the context of clinical utility for the molecular diagnosis of human cancers.
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Affiliation(s)
- Diego M Marzese
- Department of Molecular Oncology, Saint John's Health Center, John Wayne Cancer Institute, 2200 Santa Monica Blvd, Santa Monica, CA 90404, USA
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22
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Grageda M, Silveyra P, Thomas NJ, DiAngelo SL, Floros J. DNA methylation profile and expression of surfactant protein A2 gene in lung cancer. Exp Lung Res 2014; 41:93-102. [PMID: 25514367 DOI: 10.3109/01902148.2014.976298] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Knowledge of the methylation profile of genes allow for the identification of biomarkers that may guide diagnosis and effective treatment of disease. Human surfactant protein A (SP-A) plays an important role in lung homeostasis and immunity, and is encoded by two genes (SFTPA1 and SFTPA2). The goal of this study was to identify differentially methylated CpG sites in the promoter region of the SFTPA2 gene in lung cancer tissue, and to determine the correlation between the promoter's methylation profile and gene expression. For this, we collected 28 pairs of cancerous human lung tissue and adjacent noncancerous (NC) lung tissue: 17 adenocarcinoma (AC), 9 squamous cell carcinoma (SCC), and 2 AC with SCC features, and we evaluated DNA methylation of the SFTPA2 promoter region by bisulfite conversion. Our results identified a higher methylation ratio in one CpG site of the SFTPA2 gene in cancerous tissue versus NC tissue (0.36 versus 0.11, p = 0.001). When assessing AC samples, we also found cancerous tissues associated with a higher methylation ratio (0.43 versus 0.10, p = 0.02). In the SCC group, although cancerous tissue showed a higher methylation ratio (0.22 versus 0.11), this difference was not statistically significant (p = 0.35). Expression of SFTPA2 mRNA and total SP-A protein was significantly lower in cancer tissue when compared to adjacent NC tissue (p < 0.001), and correlated with the hypermethylated status of an SFTPA2 CpG site in AC samples. The findings of this pilot study may hold promise for future use of SFTPA2 as a biomarker for the diagnosis of lung cancer.
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Affiliation(s)
- Melissa Grageda
- 1Pediatric Critical Care Division, Department of Pediatrics, Pennsylvania State Children's Hospital, The Pennsylvania State University College of Medicine , Hershey, PA , United States
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23
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Wang YH, Fu R, Shao ZH. An exceptional case of myelodysplastic syndrome with myelofibrosis following combination chemotherapy for squamous cell lung cancer. Cancer Biol Med 2013; 10:117-20. [PMID: 23882429 PMCID: PMC3719187 DOI: 10.7497/j.issn.2095-3941.2013.02.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2013] [Accepted: 06/11/2013] [Indexed: 11/23/2022] Open
Abstract
A 60-year-old woman with squamous cell carcinoma in the right lung was successfully treated with four cycles of combination chemotherapy after surgery, and complete remission was achieved. However, the patient developed myelodysplastic syndrome (MDS) RAEB-2 with myelofibrosis after remission, possibly because of chemotherapy or DNA methylation. The patient responded well to dacitabine (Dacogen), suggesting that DNA hypomethylation agents can be a promising therapy to retard the progression of a second tumor or carcinoma.
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Affiliation(s)
- Yi-Hao Wang
- Department of Hematology, Tianjin Medical University General Hospital, Tianjin 300052, China
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