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Wever BMM, Schaafsma M, Bleeker MCG, van den Burgt Y, van den Helder R, Lok CAR, Dijk F, van der Pol Y, Mouliere F, Moldovan N, van Trommel NE, Steenbergen RDM. Molecular analysis for ovarian cancer detection in patient-friendly samples. COMMUNICATIONS MEDICINE 2024; 4:88. [PMID: 38755429 PMCID: PMC11099128 DOI: 10.1038/s43856-024-00517-8] [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: 10/05/2023] [Accepted: 05/03/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND High ovarian cancer mortality rates motivate the development of effective and patient-friendly diagnostics. Here, we explored the potential of molecular testing in patient-friendly samples for ovarian cancer detection. METHODS Home-collected urine, cervicovaginal self-samples, and clinician-taken cervical scrapes were prospectively collected from 54 patients diagnosed with a highly suspicious ovarian mass (benign n = 25, malignant n = 29). All samples were tested for nine methylation markers, using quantitative methylation-specific PCRs that were verified on ovarian tissue samples, and compared to non-paired patient-friendly samples of 110 age-matched healthy controls. Copy number analysis was performed on a subset of urine samples of ovarian cancer patients by shallow whole-genome sequencing. RESULTS Three methylation markers are significantly elevated in full void urine of ovarian cancer patients as compared to healthy controls (C2CD4D, P = 0.008; CDO1, P = 0.022; MAL, P = 0.008), of which two are also discriminatory in cervical scrapes (C2CD4D, P = 0.001; CDO1, P = 0.004). When comparing benign and malignant ovarian masses, GHSR shows significantly elevated methylation levels in the urine sediment of ovarian cancer patients (P = 0.024). Other methylation markers demonstrate comparably high methylation levels in benign and malignant ovarian masses. Cervicovaginal self-samples show no elevated methylation levels in patients with ovarian masses as compared to healthy controls. Copy number changes are identified in 4 out of 23 urine samples of ovarian cancer patients. CONCLUSIONS Our study reveals increased methylation levels of ovarian cancer-associated genes and copy number aberrations in the urine of ovarian cancer patients. Our findings support continued research into urine biomarkers for ovarian cancer detection and highlight the importance of including benign ovarian masses in future studies to develop a clinically useful test.
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Affiliation(s)
- Birgit M M Wever
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Mirte Schaafsma
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Antoni van Leeuwenhoek/Netherlands Cancer Institute, Department of Gynecologic Oncology, Center of Gynecologic Oncology Amsterdam, Amsterdam, The Netherlands
| | - Maaike C G Bleeker
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Yara van den Burgt
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Rianne van den Helder
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Antoni van Leeuwenhoek/Netherlands Cancer Institute, Department of Gynecologic Oncology, Center of Gynecologic Oncology Amsterdam, Amsterdam, The Netherlands
| | - Christianne A R Lok
- Antoni van Leeuwenhoek/Netherlands Cancer Institute, Department of Gynecologic Oncology, Center of Gynecologic Oncology Amsterdam, Amsterdam, The Netherlands
| | - Frederike Dijk
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
- Amsterdam UMC, location University of Amsterdam, Department of Pathology, Amsterdam, The Netherlands
| | - Ymke van der Pol
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Florent Mouliere
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Norbert Moldovan
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
| | - Nienke E van Trommel
- Antoni van Leeuwenhoek/Netherlands Cancer Institute, Department of Gynecologic Oncology, Center of Gynecologic Oncology Amsterdam, Amsterdam, The Netherlands
| | - Renske D M Steenbergen
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Department of Pathology, Amsterdam, The Netherlands.
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands.
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2
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Norimatsu Y, Maeda Y, Malara N, Fulciniti F, Kobayashi TK. A review of the directly sampled endometrial cytology on LBC samples: Classification, microscopic criteria and beyond. Cytopathology 2024; 35:350-361. [PMID: 38050704 DOI: 10.1111/cyt.13342] [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: 10/26/2023] [Revised: 11/08/2023] [Accepted: 11/12/2023] [Indexed: 12/06/2023]
Abstract
The Yokohama System for Reporting Endometrial Cytology (TYS) has been proposed by an expert meeting under the auspices of the International Academy of Cytology (IAC) in May 2016 at the IAC in Yokohama. Since its introduction, the TYS has been receiving worldwide acceptance, and this review aims to assess its global impact. The adoption of endometrial cytology as a diagnostic procedure has been hampered in the past by difficulties arising in interpreting the cellular findings due to a number of factors (such as excess blood, cellular overlapping and the complex physiology of endometrium). Recently, the use of liquid-based cytology (LBC), with its ability to remove blood and mucus and to distribute cells uniformly in a thin layer on the slide, has provided an opportunity to re-evaluate the role of endometrial cytology. LBC is a useful tool in the cytologic diagnosis and follow-up of endometrial abnormalities, which remains complementary to the emerging molecular diagnostic cytopathology. The study of LBC from endometrial cytology could be challenging since it is affected by numerous look-alikes and diagnostic pitfalls. This review discusses these various entities and takes into consideration the ancillary techniques that may be useful in the diagnostic procedure. In conclusion, our review of the published data suggests that the TYS is a valid classification scheme that has been widely accepted by cytopathologists globally, is highly reproducible and makes a valuable contribution to clinical therapeutic management. At present, molecular cytopathology is a rapidly evolving field of modern cytopathology, which underlines the effective interplay between genomics and cytology. This review aims to provide a comprehensive review of the drawbacks of endometrial cytopathology, particularly in terms of endometrial cancer diagnosis and molecular testing.
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Affiliation(s)
- Yoshiaki Norimatsu
- Departments of Medical Technology, Faculty of Health Sciences, Ehime Prefectural University of Health Sciences, Iyo-gun, Ehime, Japan
| | - Yoshinobu Maeda
- Department of Diagnostic Pathology, Toyama Red Cross Hospital, Toyama, Japan
| | - Natalia Malara
- Department of Health Sciences, University Magna Graecia, Catanzaro, Italy
| | - Franco Fulciniti
- Department of Pathology, Unilabs Switzerland SA, Basel, Switzerland
| | - Tadao K Kobayashi
- Educational Institution Tenri University, Member of the Board, Nara, Japan
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3
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Wever BMM, Steenbergen RDM. Unlocking the potential of tumor-derived DNA in urine for cancer detection: methodological challenges and opportunities. Mol Oncol 2024. [PMID: 38462745 DOI: 10.1002/1878-0261.13628] [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: 10/17/2023] [Revised: 12/20/2023] [Accepted: 01/27/2024] [Indexed: 03/12/2024] Open
Abstract
High cancer mortality rates and the rising cancer burden worldwide drive the development of innovative methods in order to advance cancer diagnostics. Urine contains a viable source of tumor material and allows for self-collection from home. Biomarker testing in this liquid biopsy represents a novel approach that is convenient for patients and can be effective in detecting cancer at a curable stage. Here, we set out to provide a detailed overview of the rationale behind urine-based cancer detection, with a focus on non-urological cancers, and its potential for cancer diagnostics. Moreover, evolving methodological challenges and untapped opportunities for urine biomarker testing are discussed, particularly emphasizing DNA methylation of tumor-derived cell-free DNA. We also provide future recommendations for technical advancements in urine-based cancer detection and elaborate on potential mechanisms involved in the transrenal transport of cell-free DNA.
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Affiliation(s)
- Birgit M M Wever
- Department of Pathology, Amsterdam UMC, location Vrije Universiteit Amsterdam, The Netherlands
- Imaging and Biomarkers, Cancer Center Amsterdam, The Netherlands
| | - Renske D M Steenbergen
- Department of Pathology, Amsterdam UMC, location Vrije Universiteit Amsterdam, The Netherlands
- Imaging and Biomarkers, Cancer Center Amsterdam, The Netherlands
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4
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Wang SF, Du CY, Li M, Wen B, Shen QJ, Ma F, Zhang L, Deng H. Endometrial Cancer Detection by DNA Methylation Analysis in Cervical Papanicolaou Brush Samples. Technol Cancer Res Treat 2024; 23:15330338241242637. [PMID: 38584417 PMCID: PMC11005493 DOI: 10.1177/15330338241242637] [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: 07/09/2023] [Revised: 02/16/2024] [Accepted: 02/26/2024] [Indexed: 04/09/2024] Open
Abstract
Background: Endometrial cancer (EC) is the leading gynecological cancer worldwide, yet current EC screening approaches are not satisfying. The purpose of this retrospective study was to evaluate the feasibility and capability of DNA methylation analysis in cervical Papanicolaou (Pap) brush samples for EC detection. Methods: We used quantitative methylation-sensitive PCR (qMS-PCR) to determine the methylation status of candidate genes in EC tissue samples, as well as cervical Pap brushes. The ability of RASSF1A and HIST1H4F to serve as diagnostic markers for EC was then examined in cervical Pap brush samples from women with endometrial lesions of varying degrees of severity. Results: Methylated RASSF1A and HIST1H4F were found in EC tissues. Further, methylation of the two genes was also observed in cervical Pap smear samples from EC patients. Methylation levels of RASSF1A and HIST1H4F increased as endometrial lesions progressed, and cervical Pap brush samples from women affected by EC exhibited significantly higher levels of methylated RASSF1A and HIST1H4F compared to noncancerous controls (P < .001). Receiver operating characteristic (ROC) curves and area under the curve (AUC) analyses revealed RASSF1A and HIST1H4F methylation with a combined AUC of 0.938 and 0.951 for EC/pre-EC detection in cervical Pap brush samples, respectively. Conclusion: These findings demonstrate that DNA methylation analysis in cervical Pap brush samples may be helpful for EC detection, broadening the scope of the commonly used cytological screening. Our proof-of-concept study provides new insights into the field of clinical EC diagnosis.
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Affiliation(s)
- San-feng Wang
- Department of Gynecology, Guangdong Women and Children Hospital, Guangzhou, China
| | - Chong-yang Du
- Department of Gynecology, Guangdong Women and Children Hospital, Guangzhou, China
| | - Mi Li
- Maternal and Child Health Research Institute, Translational Medicine Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Bin Wen
- Department of Gynecology, Guangdong Women and Children Hospital, Guangzhou, China
| | - Qing-jun Shen
- Department of Gynecology, Guangdong Women and Children Hospital, Guangzhou, China
| | - Fang Ma
- Department of Gynecology, Guangdong Women and Children Hospital, Guangzhou, China
| | - Liang Zhang
- Maternal and Child Health Research Institute, Translational Medicine Center, Guangdong Women and Children Hospital, Guangzhou, China
| | - Hua Deng
- Maternal and Child Health Research Institute, Translational Medicine Center, Guangdong Women and Children Hospital, Guangzhou, China
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5
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Lin SY, Xia W, Kim AK, Chen D, Schleyer S, Choi L, Wang Z, Hamilton JP, Luu H, Hann HW, Chang TT, Hu CT, Woodard A, Gade TP, Su YH. Novel urine cell-free DNA methylation markers for hepatocellular carcinoma. Sci Rep 2023; 13:21585. [PMID: 38062093 PMCID: PMC10703769 DOI: 10.1038/s41598-023-48500-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 11/27/2023] [Indexed: 12/18/2023] Open
Abstract
An optimized hepatocellular carcinoma (HCC)-targeted methylation next generation sequencing assay was developed to discover HCC-associated methylation markers directly from urine for HCC screening. Urine cell-free DNA (ucfDNA) isolated from a discovery cohort of 31 non-HCC and 30 HCC was used for biomarker discovery, identifying 29 genes with differentially methylated regions (DMRs). Methylation-specific qPCR (MSqPCR) assays were developed to verify the selected DMRs corresponding to 8 genes (GRASP, CCND2, HOXA9, BMP4, VIM, EMX1, SFRP1, and ECE). Using archived ucfDNA, methylation of GRASP, HOXA9, BMP4, and ECE1, were found to be significantly different (p < 0.05) between HCC and non-HCC patients. The four markers together with previously reported GSTP1 and RASSF1A markers were assessed as a 6-marker panel in an independent training cohort of 87 non-HCC and 78 HCC using logistic regression modeling. AUROC of 0.908 (95% CI, 0.8656-0.9252) was identified for the 6-marker panel with AFP, which was significantly higher than AFP-alone (AUROC 0.841 (95% CI, 0.778-0.904), p = 0.0026). Applying backward selection method, a 4-marker panel was found to exhibit similar performance to the 6-marker panel with AFP having 80% sensitivity compared to 29.5% by AFP-alone at a specificity of 85%. This study supports the potential use of methylated transrenal ucfDNA for HCC screening.
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Affiliation(s)
| | - Wei Xia
- JBS Science, Inc., Doylestown, PA, USA
| | - Amy K Kim
- Division of Gastroenterology and Hepatology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Dion Chen
- JBS Science, Inc., Doylestown, PA, USA
- ClinPharma Consulting, Inc., Phoenixville, PA, USA
| | | | - Lin Choi
- JBS Science, Inc., Doylestown, PA, USA
| | | | - James P Hamilton
- Division of Gastroenterology and Hepatology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Harry Luu
- Division of Gastroenterology and Hepatology, Department of Medicine, The Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Hie-Won Hann
- Department of Medicine, Division of Gastroenterology and Hepatology, Thomas Jefferson University Hospital, Philadelphia, PA, USA
| | - Ting-Tsung Chang
- Department of Internal Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan
| | - Chi-Tan Hu
- Division of Gastroenterology, Department of Internal Medicine, Hualien Tzu-Chi Hospital, Buddhist Tzu-Chi Medical Foundation, Hualien, Taiwan
| | - Abashai Woodard
- Department of Radiology, University of Pennsylvania College of Medicine, Philadelphia, PA, USA
| | - Terence P Gade
- Department of Radiology, University of Pennsylvania College of Medicine, Philadelphia, PA, USA
| | - Ying-Hsiu Su
- The Baruch S. Blumberg Institute, 805 Old Easton Rd, Doylestown, PA, USA.
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6
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Costas L, Onieva I, Pelegrina B, Marin F, Carmona Á, López-Querol M, Frias-Gomez J, Peremiquel-Trillas P, Martínez JM, Dorca E, Brunet J, Pineda M, Ponce J, Matias-Guiu X, de Sanjosé S, Bosch FX, Alemany L, Paytubi S. Evaluation of Somatic Mutations in Urine Samples as a Noninvasive Method for the Detection and Molecular Classification of Endometrial Cancer. Clin Cancer Res 2023; 29:3681-3690. [PMID: 37439797 DOI: 10.1158/1078-0432.ccr-23-0367] [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: 02/09/2023] [Revised: 04/19/2023] [Accepted: 07/10/2023] [Indexed: 07/14/2023]
Abstract
PURPOSE Current diagnostic methods for endometrial cancer lack specificity, leading to many women undergoing invasive procedures. The aim of this study was to evaluate somatic mutations in urine to accurately discriminate patients with endometrial cancer from controls. EXPERIMENTAL DESIGN Overall, 72 samples were analyzed using next-generation sequencing (NGS) with molecular identifiers targeting 47 genes. We evaluated urine supernatant samples from women with endometrial cancer (n = 19) and age-matched controls (n = 20). Cell pellets from urine and plasma samples from seven cases were sequenced; further, we also evaluated paired tumor samples from all cases. Finally, immunohistochemical markers for molecular profiling were evaluated in all tumor samples. RESULTS Overall, we were able to identify mutations in DNA from urine supernatant samples in 100% of endometrial cancers. In contrast, only one control (5%) showed variants at a variant allele frequency (VAF) ≥ 2% in the urine supernatant samples. The molecular classification obtained by using tumor samples and urine samples showed good agreement. Analyses in paired samples revealed a higher number of mutations and VAF in urine supernatants than in urine cell pellets and blood samples. CONCLUSIONS Evaluation of somatic mutations using urine samples may offer a user-friendly and reliable tool for endometrial cancer detection and molecular classification. The diagnostic performance for endometrial cancer detection was very high, and cases could be molecularly classified using these noninvasive and self-collected samples. Additional multicenter evaluations using larger sample sizes are needed to validate the results and understand the potential of urine samples for the early detection and prognosis of endometrial cancer.
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Affiliation(s)
- Laura Costas
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health - CIBERESP, Carlos III Institute of Health, Madrid, Spain
| | - Irene Onieva
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Beatriz Pelegrina
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health - CIBERESP, Carlos III Institute of Health, Madrid, Spain
| | - Fátima Marin
- Consortium for Biomedical Research in Cancer - CIBERONC, Carlos III Institute of Health, Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, ONCOBELL Program, L'Hospitalet, Barcelona, Spain
| | | | - Marta López-Querol
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Jon Frias-Gomez
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health - CIBERESP, Carlos III Institute of Health, Madrid, Spain
- Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Paula Peremiquel-Trillas
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health - CIBERESP, Carlos III Institute of Health, Madrid, Spain
- Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - José Manuel Martínez
- Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Department of Gynecology, Hospital Universitari de Bellvitge, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Eduard Dorca
- Department of Pathology, Hospital Universitari de Bellvitge, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Joan Brunet
- Consortium for Biomedical Research in Cancer - CIBERONC, Carlos III Institute of Health, Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, ONCOBELL Program, L'Hospitalet, Barcelona, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBGI, Girona, Spain
- Medical Oncology Department, Catalan Institute of Oncology, Doctor Josep Trueta Girona University Hospital, Girona, Spain
| | - Marta Pineda
- Consortium for Biomedical Research in Cancer - CIBERONC, Carlos III Institute of Health, Madrid, Spain
- Hereditary Cancer Program, Catalan Institute of Oncology, IDIBELL, ONCOBELL Program, L'Hospitalet, Barcelona, Spain
| | - Jordi Ponce
- Department of Gynecology, Hospital Universitari de Bellvitge, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | - Xavier Matias-Guiu
- Consortium for Biomedical Research in Cancer - CIBERONC, Carlos III Institute of Health, Madrid, Spain
- Department of Pathology, Hospital Universitari de Bellvitge, IDIBELL, Hospitalet de Llobregat, Barcelona, Spain
| | | | - Francesc Xavier Bosch
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health - CIBERESP, Carlos III Institute of Health, Madrid, Spain
- Universitat Oberta de Catalunya, Barcelona, Spain
| | - Laia Alemany
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health - CIBERESP, Carlos III Institute of Health, Madrid, Spain
| | - Sonia Paytubi
- Cancer Epidemiology Research Programme, Catalan Institute of Oncology, IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health - CIBERESP, Carlos III Institute of Health, Madrid, Spain
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7
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Ma L, Huang W, Liang X, Bai G, Wang X, Jiang H, Xin Y, Hu L, Chen X, Liu C. Inhibition of squalene epoxidase linking with PI3K/AKT signaling pathway suppresses endometrial cancer. Cancer Sci 2023; 114:3595-3607. [PMID: 37438885 PMCID: PMC10475781 DOI: 10.1111/cas.15900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 06/07/2023] [Accepted: 06/18/2023] [Indexed: 07/14/2023] Open
Abstract
Endometrial cancer (EC) is a common malignant tumor that lacks any therapeutic target and, in many cases, recurrence is the leading ca use of morbidity and mortality in women. Widely known EC has a strongly positive correlation with abnormal lipid metabolism. Squalene epoxidase (SQLE), a crucial enzyme in the cholesterol synthesis pathway regulating lipid metabolic processes has been found to be associated with various cancers in recent years. Here, we focused on studying the role of SQLE in EC. Our study revealed that SQLE expression level was upregulated significantly in EC tissues. In vitro experiments showed that SQLE overexpression significantly promoted the proliferation, and inhibited cell apoptosis of EC cells, whereas SQLE knockdown or use of terbinafine showed the opposite results. Furthermore, we found out that the promotional effect of SQLE on the proliferation of EC cells might be achieved by activating the PI3K/AKT pathway. In vivo, studies confirmed that the knockdown of SQLE or terbinafine can observably inhibit tumor growth in nude mice. These results indicate that SQLE may promote the progression of EC by activating the PI3K/AKT pathway. Moreover, SQLE is a potential target for EC treatment and its inhibitor, terbinafine, has the potential to become a targeted drug for EC treatment.
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Affiliation(s)
- Liangjian Ma
- Key Laboratory of Gynecologic Oncology Gansu ProvinceThe First Hospital of Lanzhou UniversityLanzhouChina
| | - Wunan Huang
- Key Laboratory of Gynecologic Oncology Gansu ProvinceThe First Hospital of Lanzhou UniversityLanzhouChina
| | - Xiaolei Liang
- Key Laboratory of Gynecologic Oncology Gansu ProvinceThe First Hospital of Lanzhou UniversityLanzhouChina
| | - Guannan Bai
- The Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - Xiaochen Wang
- Key Laboratory of Cancer Prevention and Intervention, Department of Breast Surgery and Oncology, Ministry of Education, The Second Affiliated Hospital, School of MedicineZhejiang UniversityHangzhouChina
| | - Hua Jiang
- Department of Otolaryngology, The Second Affiliated Hospital, School of MedicineZhejiang UniversityHangzhouChina
| | - Yang Xin
- Department of Genetics and Metabolism, Children's Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child HealthNational Children's Regional Medical CenterHangzhouChina
| | - Lidan Hu
- The Children's HospitalZhejiang University School of Medicine, National Clinical Research Center for Child HealthHangzhouChina
| | - Xiangjun Chen
- Eye Center of the Second Affiliated Hospital, Institute of Translational Medicine, School of MedicineZhejiang UniversityHangzhouChina
| | - Chang Liu
- Key Laboratory of Gynecologic Oncology Gansu ProvinceThe First Hospital of Lanzhou UniversityLanzhouChina
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8
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Bakkum-Gamez JN, Sherman ME, Slettedahl SW, Mahoney DW, Lemens MA, Laughlin-Tommaso SK, Hopkins MR, VanOosten A, Shridhar V, Staub JK, Cao X, Foote PH, Clarke MA, Burger KN, Berger CK, O'Connell MC, Doering KA, Podratz KC, DeStephano CC, Schoolmeester JK, Kerr SE, Wentzensen N, Taylor WR, Kisiel JB. Detection of endometrial cancer using tampon-based collection and methylated DNA markers. Gynecol Oncol 2023; 174:11-20. [PMID: 37141817 PMCID: PMC10330802 DOI: 10.1016/j.ygyno.2023.04.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2022] [Revised: 04/16/2023] [Accepted: 04/16/2023] [Indexed: 05/06/2023]
Abstract
OBJECTIVE Alterations in DNA methylation are early events in endometrial cancer (EC) development and may have utility in EC detection via tampon-collected vaginal fluid. METHODS For discovery, DNA from frozen EC, benign endometrium (BE), and benign cervicovaginal (BCV) tissues underwent reduced representation bisulfite sequencing (RRBS) to identify differentially methylated regions (DMRs). Candidate DMRs were selected based on receiver operating characteristic (ROC) discrimination, methylation level fold-change between cancers and controls, and absence of background CpG methylation. Methylated DNA marker (MDM) validation was performed using qMSP on DNA from independent EC and BE FFPE tissue sets. Women ≥45 years of age with abnormal uterine bleeding (AUB) or postmenopausal bleeding (PMB) or any age with biopsy-proven EC self-collected vaginal fluid using a tampon prior to clinically indicated endometrial sampling or hysterectomy. Vaginal fluid DNA was assayed by qMSP for EC-associated MDMs. Random forest modeling analysis was performed to generate predictive probability of underlying disease; results were 500-fold in-silico cross-validated. RESULTS Thirty-three candidate MDMs met performance criteria in tissue. For the tampon pilot, 100 EC cases were frequency matched by menopausal status and tampon collection date to 92 BE controls. A 28-MDM panel highly discriminated between EC and BE (96% (95%CI 89-99%) specificity; 76% (66-84%) sensitivity (AUC 0.88). In PBS/EDTA tampon buffer, the panel yielded 96% (95% CI 87-99%) specificity and 82% (70-91%) sensitivity (AUC 0.91). CONCLUSION Next generation methylome sequencing, stringent filtering criteria, and independent validation yielded excellent candidate MDMs for EC. EC-associated MDMs performed with promisingly high sensitivity and specificity in tampon-collected vaginal fluid; PBS-based tampon buffer with added EDTA improved sensitivity. Larger tampon-based EC MDM testing studies are warranted.
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Affiliation(s)
- Jamie N Bakkum-Gamez
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology Surgery, Mayo Clinic, Rochester, MN, United States of America.
| | - Mark E Sherman
- Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States of America
| | - Seth W Slettedahl
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States of America
| | - Douglas W Mahoney
- Department of Health Sciences Research, Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, United States of America
| | - Maureen A Lemens
- Surgery Research, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Shannon K Laughlin-Tommaso
- Department of Obstetrics and Gynecology, Division of Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Matthew R Hopkins
- Department of Obstetrics and Gynecology, Division of Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Ann VanOosten
- Surgery Research, Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN, United States of America
| | - Viji Shridhar
- Department of Laboratory Medicine and Pathology, Experimental Pathology, Mayo Clinic, Rochester, MN, United States of America
| | - Julie K Staub
- Department of Laboratory Medicine and Pathology, Experimental Pathology, Mayo Clinic, Rochester, MN, United States of America
| | - Xiaoming Cao
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Patrick H Foote
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Megan A Clarke
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - Kelli N Burger
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Calise K Berger
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Maria C O'Connell
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Karen A Doering
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - Karl C Podratz
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology Surgery, Mayo Clinic, Rochester, MN, United States of America
| | - Christopher C DeStephano
- Department of Obstetrics and Gynecology, Division of Minimally Invasive Gynecology, Mayo Clinic, Jacksonville, FL, United States of America
| | - J Kenneth Schoolmeester
- Department of Laboratory Medicine and Pathology, Anatomic Pathology, Mayo Clinic, Rochester, MN, United States of America
| | - Sarah E Kerr
- Hospital Pathology Associates, Minneapolis, MN, United States of America
| | - Nicolas Wentzensen
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, United States of America
| | - William R Taylor
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
| | - John B Kisiel
- Department of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, United States of America
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9
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Jordaens S, Zwaenepoel K, Tjalma W, Deben C, Beyers K, Vankerckhoven V, Pauwels P, Vorsters A. Urine biomarkers in cancer detection: A systematic review of preanalytical parameters and applied methods. Int J Cancer 2023; 152:2186-2205. [PMID: 36647333 DOI: 10.1002/ijc.34434] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 11/25/2022] [Accepted: 12/29/2022] [Indexed: 01/18/2023]
Abstract
The aim of this review was to explore the status of urine sampling as a liquid biopsy for noninvasive cancer research by reviewing used preanalytical parameters and protocols. We searched two main health sciences databases, PubMed and Web of Science. From all eligible publications (2010-2022), information was extracted regarding: (a) study population characteristics, (b) cancer type, (c) urine preanalytics, (d) analyte class, (e) isolation method, (f) detection method, (g) comparator used, (h) biomarker type, (i) conclusion and (j) sensitivity and specificity. The search query identified 7835 records, of which 924 unique publications remained after screening the title, abstract and full text. Our analysis demonstrated that many publications did not report information about the preanalytical parameters of their urine samples, even though several other studies have shown the importance of standardization of sample handling. Interestingly, it was noted that urine is used for many cancer types and not just cancers originating from the urogenital tract. Many different types of relevant analytes have been shown to be found in urine. Additionally, future considerations and recommendations are discussed: (a) the heterogeneous nature of urine, (b) the need for standardized practice protocols and (c) the road toward the clinic. Urine is an emerging liquid biopsy with broad applicability in different analytes and several cancer types. However, standard practice protocols for sample handling and processing would help to elaborate the clinical utility of urine in cancer research, detection and disease monitoring.
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Affiliation(s)
- Stephanie Jordaens
- Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.,Novosanis NV, Wijnegem, Belgium
| | - Karen Zwaenepoel
- Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.,Laboratory of Pathological Anatomy, Antwerp University Hospital (UZA), Edegem, Belgium
| | - Wiebren Tjalma
- Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.,Multidisciplinary Breast Clinic, Gynecological Oncology Unit, Department of Obstetrics and Gynecology, Antwerp University Hospital (UZA), Edegem, Belgium
| | - Christophe Deben
- Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium
| | | | - Vanessa Vankerckhoven
- Novosanis NV, Wijnegem, Belgium.,Center for Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
| | - Patrick Pauwels
- Center for Oncological Research (CORE), Integrated Personalized & Precision Oncology Network (IPPON), University of Antwerp, Wilrijk, Belgium.,Laboratory of Pathological Anatomy, Antwerp University Hospital (UZA), Edegem, Belgium
| | - Alex Vorsters
- Center for Evaluation of Vaccination (CEV), Vaccine & Infectious Disease Institute (VAXINFECTIO), Faculty of Medicine and Health Sciences, University of Antwerp, Wilrijk, Belgium
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10
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Njoku K, Pierce A, Geary B, Campbell AE, Kelsall J, Reed R, Armit A, Da Sylva R, Zhang L, Agnew H, Baricevic-Jones I, Chiasserini D, Whetton AD, Crosbie EJ. Quantitative SWATH-based proteomic profiling of urine for the identification of endometrial cancer biomarkers in symptomatic women. Br J Cancer 2023; 128:1723-1732. [PMID: 36807337 PMCID: PMC10133303 DOI: 10.1038/s41416-022-02139-0] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 12/17/2022] [Accepted: 12/30/2022] [Indexed: 02/19/2023] Open
Abstract
BACKGROUND A non-invasive endometrial cancer detection tool that can accurately triage symptomatic women for definitive testing would improve patient care. Urine is an attractive biofluid for cancer detection due to its simplicity and ease of collection. The aim of this study was to identify urine-based proteomic signatures that can discriminate endometrial cancer patients from symptomatic controls. METHODS This was a prospective case-control study of symptomatic post-menopausal women (50 cancers, 54 controls). Voided self-collected urine samples were processed for mass spectrometry and run using sequential window acquisition of all theoretical mass spectra (SWATH-MS). Machine learning techniques were used to identify important discriminatory proteins, which were subsequently combined in multi-marker panels using logistic regression. RESULTS The top discriminatory proteins individually showed moderate accuracy (AUC > 0.70) for endometrial cancer detection. However, algorithms combining the most discriminatory proteins performed well with AUCs > 0.90. The best performing diagnostic model was a 10-marker panel combining SPRR1B, CRNN, CALML3, TXN, FABP5, C1RL, MMP9, ECM1, S100A7 and CFI and predicted endometrial cancer with an AUC of 0.92 (0.96-0.97). Urine-based protein signatures showed good accuracy for the detection of early-stage cancers (AUC 0.92 (0.86-0.9)). CONCLUSION A patient-friendly, urine-based test could offer a non-invasive endometrial cancer detection tool in symptomatic women. Validation in a larger independent cohort is warranted.
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Affiliation(s)
- Kelechi Njoku
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Andrew Pierce
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- School of Medical and Health Sciences, College of Human Sciences, Fron Heulog, Bangor University, Bangor, Gwynedd, LL57 2TH, UK
| | - Bethany Geary
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Amy E Campbell
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Janet Kelsall
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Rachel Reed
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Alexander Armit
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Rachel Da Sylva
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Liqun Zhang
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
| | - Heather Agnew
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Ivona Baricevic-Jones
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Davide Chiasserini
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
- Department of Medicine and Surgery, Section of Physiology and Biochemistry, University of Perugia, 06132, Perugia, Italy
| | - Anthony D Whetton
- School of Veterinary Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, UK.
| | - Emma J Crosbie
- Division of Cancer Sciences, University of Manchester, School of Medical Sciences, Faculty of Biology, Medicine and Health, 5th Floor Research, St Mary's Hospital, Oxford Road, Manchester, M13 9WL, UK.
- Stoller Biomarker Discovery Centre, Institute of Cancer Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
- Department of Obstetrics and Gynaecology, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
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11
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Moar K, Pant A, Saini V, Maurya PK. Potential biomarkers in endometrial cancer: a narrative review. Biomarkers 2023:1-14. [PMID: 36755526 DOI: 10.1080/1354750x.2023.2179114] [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: 02/10/2023]
Abstract
CONTEXT Every year, approximately 0.4 million women suffer from endometrial cancer (EC) worldwide and it has become the most common gynecological malignancy. Almost 66% of EC cases are diagnosed at an early stage and can be cured by performing surgery while those at an advanced stage turns out to be fatal. Biomarkers of endometrial cancer would be very valuable for screening of women who are at high risk and in detecting the chance of recurrence of disease. OBJECTIVE The current article has reviewed studies published on expression of biomarkers and susceptibility to EC. METHODS Google Scholar and PubMed were used as searching platforms and we have majorly considered the literature from last 10 years. RESULTS Potential biomarkers of EC identified from various studies were summarised.
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Affiliation(s)
- Kareena Moar
- Department of Biochemistry, Central University of Haryana, Mahendragarh, India
| | - Anuja Pant
- Department of Biochemistry, Central University of Haryana, Mahendragarh, India
| | - Vikas Saini
- Biomedical Sciences, Department of Vocational Studies and Skill Development, Central University of Haryana, Mahendragarh, India
| | - Pawan Kumar Maurya
- Department of Biochemistry, Central University of Haryana, Mahendragarh, India
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12
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Grant BM, Pugh TJ, Oza AM. Molecular Monitoring in Endometrial Cancer-Ready for Prime Time? Clin Cancer Res 2023; 29:305-308. [PMID: 36354753 DOI: 10.1158/1078-0432.ccr-22-2781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 10/26/2022] [Accepted: 11/03/2022] [Indexed: 11/12/2022]
Abstract
SUMMARY Efforts are under way to define the role of minimally invasive strategies for molecular monitoring and risk stratification in endometrial cancer. A recent publication aims to define the association between circulating tumor DNA level and disease stage in patients with newly diagnosed endometrial cancer and determine whether sequencing of longitudinal cell-free DNA samples can be used for disease monitoring and detection of progression or recurrence. These results accelerate the current knowledge of molecular follow-up in endometrial cancer. See related article by Ashley et al., p. 410.
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Affiliation(s)
- Brooke M Grant
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada
| | - Trevor J Pugh
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Ontario Institute for Cancer Research, Toronto, Ontario, Canada.,Department of Medical Biophysics, University of Toronto, Toronto, Ontario, Canada
| | - Amit M Oza
- Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.,Department of Medicine, University of Toronto, Toronto, Ontario, Canada
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13
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Excavation of Molecular Subtypes of Endometrial Cancer Based on DNA Methylation. Genes (Basel) 2022; 13:genes13112106. [DOI: 10.3390/genes13112106] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 11/02/2022] [Accepted: 11/09/2022] [Indexed: 11/16/2022] Open
Abstract
Tumor heterogeneity makes the diagnosis and treatment of endometrial cancer difficult. As an important modulator of gene expression, DNA methylation can affect tumor heterogeneity and, therefore, provide effective information for clinical treatment. In this study, we explored specific prognostic clusters based on 482 examples of endometrial cancer methylation data in the TCGA database. By analyzing 4870 CpG clusters, we distinguished three clusters with different prognostics. Differences in DNA methylation levels are associated with differences in age, grade, clinical pathological staging, and prognosis. Subsequently, we screened out 264 specific hypermethylation and hypomethylation sites and constructed a prognostic model for Bayesian network classification, which corresponded to the classification of the test set to the classification results of the train set. Since the tumor microenvironment plays a key role in determining immunotherapy responses, we conducted relevant analyses based on clusters separated from DNA methylation data to determine the immune function of each cluster. We also predicted their sensitivity to chemotherapy drugs. Specific classifications of DNA methylation may help to address the heterogeneity of previously existing molecular clusters of endometrial cancer, as well as to develop more effective, individualized treatments.
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14
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Kolkman R, Michel-Souzy S, Wasserberg D, Segerink LI, Huskens J. Density Control over MBD2 Receptor-Coated Surfaces Provides Superselective Binding of Hypermethylated DNA. ACS APPLIED MATERIALS & INTERFACES 2022; 14:40579-40589. [PMID: 36052432 PMCID: PMC9478954 DOI: 10.1021/acsami.2c09641] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Accepted: 08/26/2022] [Indexed: 06/15/2023]
Abstract
Using the biomarker hypermethylated DNA (hmDNA) for cancer detection requires a pretreatment to isolate or concentrate hmDNA from nonmethylated DNA. Affinity chromatography using a methyl binding domain-2 (MBD2) protein can be used, but the relatively low enrichment selectivity of MBD2 limits its clinical applicability. Here, we developed a superselective, multivalent, MBD2-coated platform to improve the selectivity of hmDNA enrichment. The multivalent platform employs control over the MBD2 surface receptor density, which is shown to strongly affect the binding of DNA with varying degrees of methylation, improving both the selectivity and the affinity of DNAs with higher numbers of methylation sites. Histidine-10-tagged MBD2 was immobilized on gold surfaces with receptor density control by tuning the amount of nickel nitrilotriacetic acid (NiNTA)-functionalized thiols in a thiol-based self-assembled monolayer. The required MBD2 surface receptor densities for DNA surface binding decreases for DNA with higher degrees of methylation. Both higher degrees of superselectivity and surface coverages were observed upon DNA binding at increasing methylation levels. Adopting the findings of this study into hmDNA enrichment of clinical samples has the potential to become more selective and sensitive than current MBD2-based methods and, therefore, to improve cancer diagnostics.
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Affiliation(s)
- Ruben
W. Kolkman
- Molecular
Nanofabrication Group, Department for Molecules & Materials, MESA+
Institute, Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
- BIOS
Lab on a Chip Group, MESA+ Institute and TechMed Centre, Max Planck
Institute for Complex Fluid Dynamics, Faculty of Electrical Engineering,
Mathematics and Computer Science, University
of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
| | - Sandra Michel-Souzy
- Biomolecular
Nanotechnology Group, Department for Molecules & Materials, MESA+
Institute, Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
| | - Dorothee Wasserberg
- BIOS
Lab on a Chip Group, MESA+ Institute and TechMed Centre, Max Planck
Institute for Complex Fluid Dynamics, Faculty of Electrical Engineering,
Mathematics and Computer Science, University
of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
| | - Loes I. Segerink
- BIOS
Lab on a Chip Group, MESA+ Institute and TechMed Centre, Max Planck
Institute for Complex Fluid Dynamics, Faculty of Electrical Engineering,
Mathematics and Computer Science, University
of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
| | - Jurriaan Huskens
- Molecular
Nanofabrication Group, Department for Molecules & Materials, MESA+
Institute, Faculty of Science and Technology, University of Twente, P.O. Box 217, 7500 AE Enschede, The Netherlands
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15
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Wang L, Dong L, Xu J, Guo L, Wang Y, Wan K, Jing W, Zhao L, Feng X, Zhang K, Guo M, Zou Y, Zhang L, Li Q. Hypermethylated CDO1 and ZNF454 in Cytological Specimens as Screening Biomarkers for Endometrial Cancer. Front Oncol 2022; 12:714663. [PMID: 35574348 PMCID: PMC9095965 DOI: 10.3389/fonc.2022.714663] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 03/28/2022] [Indexed: 11/16/2022] Open
Abstract
We aimed to estimate the diagnostic value of DNA methylation levels in cytological samples of endometrial cancer (EC) and atypical hyperplasia (AH). Two hypermethylated genes, namely, cysteine dioxygenase type 1 (CDO1) and zinc finger protein 454 (ZNF454), in patients with EC were identified from The Cancer Genome Atlas database. In 103 endometrial histological specimens (the training set), the methylation levels of candidate genes were verified by quantitative methylation-specific polymerase chain reaction (qMSP). The methylation levels of another 120 cytological specimens (the testing set) were evaluated. Sensitivity (Se), specificity (Sp), accuracy, and area under the curve (AUC) were determined, with diagnosis verified by histopathological results. CDO1 and ZNF454 verified hypermethylation in histological specimens of patients with EC and AH compared with those with benign and normal endometrium (P < 0.001). In cytological specimens, hypermethylated CDO1 showed 86.36% Se and 90.79% Sp with the cutoff value of 6.0 to distinguish between malignant and benign groups; ZNF454 showed 79.55% Se and 93.42% Sp with the cutoff value of 7.1. When the two genes were combined, Se increased to 90.91% and Sp was 86.84%. AUC reached 0.931 (95% CI: 0.885–0.976). The diagnostic accuracy with cytology had no significant difference with endometrial tissue (P = 0.847 for CDO1, P = 0.108 for ZNF454, and P = 0.665 for their combination). Hypermethylated CDO1 and ZNF454 in endometrial cytology showed high Se, Sp, and AUC to detect EC and AH. Methylation analysis of endometrial cytology is promising biomarker for the screening of EC and AH.
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Affiliation(s)
- Lei Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lanlan Dong
- Wuhan ammunition Life-Tech Co., Ltd., Wuhan, China
| | - Jun Xu
- Wuhan ammunition Life-Tech Co., Ltd., Wuhan, China
| | - Lin Guo
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Department of Obstetrics and Gynecology, Tangdu Hospital, the Fourth Military Medical University, Xi'an, China
| | - Yiran Wang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Kangkang Wan
- Wuhan ammunition Life-Tech Co., Ltd., Wuhan, China
| | - Wei Jing
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.,Department of Gynecologic Oncology, Shaanxi Provincial Cancer Hospital, Xi'an, China
| | - Lanbo Zhao
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Xue Feng
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Kailu Zhang
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Miao Guo
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Yuliang Zou
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lianglu Zhang
- Wuhan ammunition Life-Tech Co., Ltd., Wuhan, China.,State Key Laboratory of Virology, Department of Biochemistry and Molecular Biology, College of Life Sciences, Wuhan University, Wuhan, China
| | - Qiling Li
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
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16
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Age-Related DNA Methylation in Normal Kidney Tissue Identifies Epigenetic Cancer Risk Susceptibility Loci in the ANKRD34B and ZIC1 Genes. Int J Mol Sci 2022; 23:ijms23105327. [PMID: 35628134 PMCID: PMC9141100 DOI: 10.3390/ijms23105327] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 05/02/2022] [Accepted: 05/05/2022] [Indexed: 02/01/2023] Open
Abstract
Both age-dependent and age-independent alteration of DNA methylation in human tissues are functionally associated with the development of many malignant and non-malignant human diseases. TCGA-KIRC data were biometrically analyzed to identify new loci with age-dependent DNA methylation that may contribute to tumor risk in normal kidney tissue. ANKRD34B and ZIC1 were evaluated as candidate genes by pyrosequencing of 539 tissues, including 239 normal autopsy, 157 histopathologically tumor-adjacent normal, and 143 paired tumor kidney samples. All candidate CpG loci demonstrated a strong correlation between relative methylation levels and age (R = 0.70−0.88, p < 2 × 10−16) and seven out of 10 loci were capable of predicting chronological age in normal kidney tissues, explaining 84% of the variance (R = 0.92). Moreover, significantly increased age-independent methylation was found for 9 out of 10 CpG loci in tumor-adjacent tissues, compared to normal autopsy tissues (p = 0.001−0.028). Comparing tumor and paired tumor-adjacent tissues revealed two patient clusters showing hypermethylation, one cluster without significant changes in methylation, and a smaller cluster demonstrating hypomethylation in the tumors (p < 1 × 10−10). Taken together, our results show the presence of additional methylation risk factors besides age for renal cancer in normal kidney tissue. Concurrent tumor-specific hypermethylation suggests a subset of these loci are candidates for epigenetic renal cancer susceptibility.
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17
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Łukasiewicz M, Pastuszak K, Łapińska-Szumczyk S, Różański R, Veld SGJGI‘, Bieńkowski M, Stokowy T, Ratajska M, Best MG, Würdinger T, Żaczek AJ, Supernat A, Jassem J. Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer. Cancers (Basel) 2021; 13:5731. [PMID: 34830891 PMCID: PMC8616122 DOI: 10.3390/cancers13225731] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 11/09/2021] [Accepted: 11/11/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Liquid biopsy is a minimally invasive collection of a patient body fluid sample. In oncology, they offer several advantages compared to traditional tissue biopsies. However, the potential of this method in endometrial cancer (EC) remains poorly explored. We studied the utility of tumor educated platelets (TEPs) and circulating tumor DNA (ctDNA) for preoperative EC diagnosis, including histology determination. METHODS TEPs from 295 subjects (53 EC patients, 38 patients with benign gynecologic conditions, and 204 healthy women) were RNA-sequenced. DNA sequencing data were obtained for 519 primary tumor tissues and 16 plasma samples. Artificial intelligence was applied to sample classification. RESULTS Platelet-dedicated classifier yielded AUC of 97.5% in the test set when discriminating between healthy subjects and cancer patients. However, the discrimination between endometrial cancer and benign gynecologic conditions was more challenging, with AUC of 84.1%. ctDNA-dedicated classifier discriminated primary tumor tissue samples with AUC of 96% and ctDNA blood samples with AUC of 69.8%. CONCLUSIONS Liquid biopsies show potential in EC diagnosis. Both TEPs and ctDNA profiles coupled with artificial intelligence constitute a source of useful information. Further work involving more cases is warranted.
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Affiliation(s)
- Marta Łukasiewicz
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (M.Ł.); (K.P.); (A.J.Ż.)
| | - Krzysztof Pastuszak
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (M.Ł.); (K.P.); (A.J.Ż.)
- Department of Algorithms and Systems Modelling, Faculty of Electronics, Telecommunication and Informatics, Gdańsk University of Technology, 80-233 Gdańsk, Poland
| | - Sylwia Łapińska-Szumczyk
- Department of Gynecology, Gyneacological Oncology and Gynecological Endocrinology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (S.Ł.-S.); (R.R.)
| | - Robert Różański
- Department of Gynecology, Gyneacological Oncology and Gynecological Endocrinology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (S.Ł.-S.); (R.R.)
| | - Sjors G. J. G. In ‘t Veld
- Department of Neurosurgery, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands; (S.G.J.G.I.V.); (M.G.B.); (T.W.)
- Brain Tumor Center Amsterdam, Amsterdam University Medical Center, Vrije Universiteit Amsterdam Medical Center, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Michał Bieńkowski
- Department of Pathomorphology, Medical University of Gdańsk, 80-211 Gdańsk, Poland;
| | - Tomasz Stokowy
- Department of Clinical Science, University of Bergen, 7800 Bergen, Norway;
- Centre of Biostatistics and Bioinformatics Analysis, Medical University of Gdańsk, 80-211 Gdańsk, Poland
| | - Magdalena Ratajska
- Department of Biology and Medical Genetics, Medical University of Gdańsk, 80-211 Gdańsk, Poland;
- Department of Pathology, University of Otago, Dunedin 9016, New Zealand
| | - Myron G. Best
- Department of Neurosurgery, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands; (S.G.J.G.I.V.); (M.G.B.); (T.W.)
- Brain Tumor Center Amsterdam, Amsterdam University Medical Center, Vrije Universiteit Amsterdam Medical Center, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Thomas Würdinger
- Department of Neurosurgery, Amsterdam University Medical Center, Vrije Universiteit Amsterdam, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands; (S.G.J.G.I.V.); (M.G.B.); (T.W.)
- Brain Tumor Center Amsterdam, Amsterdam University Medical Center, Vrije Universiteit Amsterdam Medical Center, Cancer Center Amsterdam, 1081 HV Amsterdam, The Netherlands
| | - Anna J. Żaczek
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (M.Ł.); (K.P.); (A.J.Ż.)
| | - Anna Supernat
- Laboratory of Translational Oncology, Intercollegiate Faculty of Biotechnology, Medical University of Gdańsk, 80-211 Gdańsk, Poland; (M.Ł.); (K.P.); (A.J.Ż.)
| | - Jacek Jassem
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, 80-211 Gdańsk, Poland;
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18
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Angeles AK, Janke F, Bauer S, Christopoulos P, Riediger AL, Sültmann H. Liquid Biopsies beyond Mutation Calling: Genomic and Epigenomic Features of Cell-Free DNA in Cancer. Cancers (Basel) 2021; 13:5615. [PMID: 34830770 PMCID: PMC8616179 DOI: 10.3390/cancers13225615] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/08/2021] [Accepted: 11/09/2021] [Indexed: 01/12/2023] Open
Abstract
Cell-free DNA (cfDNA) analysis using liquid biopsies is a non-invasive method to gain insights into the biology, therapy response, mechanisms of acquired resistance and therapy escape of various tumors. While it is well established that individual cancer treatment options can be adjusted by panel next-generation sequencing (NGS)-based evaluation of driver mutations in cfDNA, emerging research additionally explores the value of deep characterization of tumor cfDNA genomics and fragmentomics as well as nucleosome modifications (chromatin structure), and methylation patterns (epigenomics) for comprehensive and multi-modal assessment of cfDNA. These tools have the potential to improve disease monitoring, increase the sensitivity of minimal residual disease identification, and detection of cancers at earlier stages. Recent progress in emerging technologies of cfDNA analysis is summarized, the added potential clinical value is highlighted, strengths and limitations are identified and compared with conventional targeted NGS analysis, and current challenges and future directions are discussed.
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Affiliation(s)
- Arlou Kristina Angeles
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (A.K.A.); (F.J.); (S.B.)
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany;
- Translational Lung Research Center, German Center for Lung Research (DZL) at Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Florian Janke
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (A.K.A.); (F.J.); (S.B.)
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany;
- Translational Lung Research Center, German Center for Lung Research (DZL) at Heidelberg University Hospital, 69120 Heidelberg, Germany
- Medical Faculty, Heidelberg University, 69120 Heidelberg, Germany
| | - Simone Bauer
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (A.K.A.); (F.J.); (S.B.)
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany;
- Translational Lung Research Center, German Center for Lung Research (DZL) at Heidelberg University Hospital, 69120 Heidelberg, Germany
| | - Petros Christopoulos
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany;
- Translational Lung Research Center, German Center for Lung Research (DZL) at Heidelberg University Hospital, 69120 Heidelberg, Germany
- Department of Oncology, Thoraxklinik at Heidelberg University Hospital, 69126 Heidelberg, Germany
| | - Anja Lisa Riediger
- Helmholtz Young Investigator Group, Multiparametric Methods for Early Detection of Prostate Cancer, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany;
- Department of Urology, Heidelberg University Hospital, 69120 Heidelberg, Germany
- Faculty of Biosciences, Heidelberg University, 69120 Heidelberg, Germany
| | - Holger Sültmann
- Division of Cancer Genome Research, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), 69120 Heidelberg, Germany; (A.K.A.); (F.J.); (S.B.)
- National Center for Tumor Diseases (NCT), 69120 Heidelberg, Germany;
- Translational Lung Research Center, German Center for Lung Research (DZL) at Heidelberg University Hospital, 69120 Heidelberg, Germany
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19
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The progress on the estimation of DNA methylation level and the detection of abnormal methylation. QUANTITATIVE BIOLOGY 2021. [DOI: 10.15302/j-qb-022-0289] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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