1
|
Chao X, Kai Z, Wu H, Wang J, Chen X, Su H, Shang X, Lin R, Huang L, He H, Lang J, Li L. Fragmentomics features of ovarian cancer. Int J Cancer 2024. [PMID: 38769763 DOI: 10.1002/ijc.34981] [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: 01/24/2024] [Revised: 03/14/2024] [Accepted: 04/02/2024] [Indexed: 05/22/2024]
Abstract
Ovarian cancer (OC) is a major cause of cancer mortality in women worldwide. Due to the occult onset of OC, its nonspecific clinical symptoms in the early phase, and a lack of effective early diagnostic tools, most OC patients are diagnosed at an advanced stage. In this study, shallow whole-genome sequencing was utilized to characterize fragmentomics features of circulating tumor DNA (ctDNA) in OC patients. By applying a machine learning model, multiclass fragmentomics data achieved a mean area under the curve (AUC) of 0.97 (95% CI 0.962-0.976) for diagnosing OC. OC scores derived from this model strongly correlated with the disease stage. Further comparative analysis of OC scores illustrated that the fragmentomics-based technology provided additional clinical benefits over the traditional serum biomarkers cancer antigen 125 (CA125) and the Risk of Ovarian Malignancy Algorithm (ROMA) index. In conclusion, fragmentomics features in ctDNA are potential biomarkers for the accurate diagnosis of OC.
Collapse
Affiliation(s)
- Xiaopei Chao
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
- Department of Gynecologic Oncology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
- State Key Laboratory for Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, China
| | - Zhentian Kai
- Department of Bioinformatics, Zhejiang Shaoxing Topgen Biomedical Technology CO., LTD, Shanghai, China
| | - Huanwen Wu
- Department of Pathology, Peking Union Medical College Hospital, Beijing, China
| | - Jing Wang
- Department of Pathology, Peking Union Medical College Hospital, Beijing, China
| | - Xiaojing Chen
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
- Department of Gynecologic Oncology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
- State Key Laboratory for Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, China
| | - Haiqi Su
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
- Department of Gynecologic Oncology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
- State Key Laboratory for Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, China
| | - Xiao Shang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
- Department of Gynecologic Oncology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
- State Key Laboratory for Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, China
| | - Ruijue Lin
- Department of Technology, Zhejiang Topgen Clinical Laboratory Co., LTD., Huzhou, China
| | - Lisha Huang
- Department of Bioinformatics, Zhejiang Shaoxing Topgen Biomedical Technology CO., LTD, Shanghai, China
| | - Hongsheng He
- Department of Bioinformatics, Zhejiang Shaoxing Topgen Biomedical Technology CO., LTD, Shanghai, China
| | - Jinghe Lang
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
- Department of Gynecologic Oncology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
- State Key Laboratory for Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, China
| | - Lei Li
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
- Department of Gynecologic Oncology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Beijing, China
- State Key Laboratory for Complex, Severe and Rare Diseases, Peking Union Medical College Hospital, Beijing, China
| |
Collapse
|
2
|
Englisz A, Smycz-Kubańska M, Mielczarek-Palacz A. Sensitivity and Specificity of Selected Biomarkers and Their Combinations in the Diagnosis of Ovarian Cancer. Diagnostics (Basel) 2024; 14:949. [PMID: 38732363 PMCID: PMC11083226 DOI: 10.3390/diagnostics14090949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 04/09/2024] [Accepted: 04/23/2024] [Indexed: 05/13/2024] Open
Abstract
One of the greatest challenges in modern gynecological oncology is ovarian cancer. Despite the numerous studies currently being conducted, it is still sometimes detected at late clinical stages, where the prognosis is unfavorable. One significant contributing factor is the absence of sensitive and specific parameters that could aid in early diagnosis. An ideal screening test, in view of the low incidence of ovarian cancer, should have a sensitivity of greater than 75% and a specificity of at least 99.6%. To enhance sensitivity and specificity, diagnostic panels are being created by combining individual markers. The drive to develop better screening tests for ovarian cancer focuses on modern diagnostic methods based on molecular testing, which in turn aims to find increasingly effective biomarkers. Currently, researchers' efforts are focused on the search for a complementary parameter to those most commonly used that would satisfactorily enhance the sensitivity and specificity of assays. Several biomarkers, including microRNA molecules, autoantibodies, cDNA, adipocytokines, and galectins, are currently being investigated by researchers. This article reviews recent studies comparing the sensitivity and specificity of selected parameters used alone and in combination to increase detection of ovarian cancer at an early stage.
Collapse
Affiliation(s)
- Aleksandra Englisz
- The Doctoral School, Medical University of Silesia, 40-055 Katowice, Poland;
| | - Marta Smycz-Kubańska
- Department of Immunology and Serology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055 Katowice, Poland;
| | - Aleksandra Mielczarek-Palacz
- Department of Immunology and Serology, Faculty of Pharmaceutical Sciences in Sosnowiec, Medical University of Silesia, 40-055 Katowice, Poland;
| |
Collapse
|
3
|
Wilczyński J, Paradowska E, Wilczyński M. High-Grade Serous Ovarian Cancer-A Risk Factor Puzzle and Screening Fugitive. Biomedicines 2024; 12:229. [PMID: 38275400 PMCID: PMC10813374 DOI: 10.3390/biomedicines12010229] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Revised: 01/14/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
High-grade serous ovarian cancer (HGSOC) is the most lethal tumor of the female genital tract. Despite extensive studies and the identification of some precursor lesions like serous tubal intraepithelial cancer (STIC) or the deviated mutational status of the patients (BRCA germinal mutation), the pathophysiology of HGSOC and the existence of particular risk factors is still a puzzle. Moreover, a lack of screening programs results in delayed diagnosis, which is accompanied by a secondary chemo-resistance of the tumor and usually results in a high recurrence rate after the primary therapy. Therefore, there is an urgent need to identify the substantial risk factors for both predisposed and low-risk populations of women, as well as to create an economically and clinically justified screening program. This paper reviews the classic and novel risk factors for HGSOC and methods of diagnosis and prediction, including serum biomarkers, the liquid biopsy of circulating tumor cells or circulating tumor DNA, epigenetic markers, exosomes, and genomic and proteomic biomarkers. The novel future complex approach to ovarian cancer diagnosis should be devised based on these findings, and the general outcome of such an approach is proposed and discussed in the paper.
Collapse
Affiliation(s)
- Jacek Wilczyński
- Department of Gynecological Surgery and Gynecological Oncology, Medical University of Lodz, 4 Kosciuszki Str., 90-419 Lodz, Poland
| | - Edyta Paradowska
- Laboratory of Virology, Institute of Medical Biology of the Polish Academy of Sciences, 106 Lodowa Str., 93-232 Lodz, Poland;
| | - Miłosz Wilczyński
- Department of Surgical, Endoscopic and Gynecological Oncology, Polish Mother’s Health Center—Research Institute, 281/289 Rzgowska Str., 93-338 Lodz, Poland;
- Department of Surgical and Endoscopic Gynecology, Medical University of Lodz, 4 Kosciuszki Str., 90-419 Lodz, Poland
| |
Collapse
|
4
|
Brincat MR, Mira AR, Lawrence A. Current and Emerging Strategies for Tubo-Ovarian Cancer Diagnostics. Diagnostics (Basel) 2023; 13:3331. [PMID: 37958227 PMCID: PMC10647517 DOI: 10.3390/diagnostics13213331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Revised: 10/22/2023] [Accepted: 10/27/2023] [Indexed: 11/15/2023] Open
Abstract
Tubo-ovarian cancer is the most lethal gynaecological cancer. More than 75% of patients are diagnosed at an advanced stage, which is associated with poorer overall survival. Symptoms at presentation are vague and non-specific, contributing to late diagnosis. Multimodal risk models have improved the diagnostic accuracy of adnexal mass assessment based on patient risk factors, coupled with findings on imaging and serum-based biomarker tests. Newly developed ultrasonographic assessment algorithms have standardised documentation and enable stratification of care between local hospitals and cancer centres. So far, no screening test has proven to reduce ovarian cancer mortality in the general population. This review is an update on the evidence behind ovarian cancer diagnostic strategies.
Collapse
Affiliation(s)
- Mark R. Brincat
- Department of Gynaecological Oncology, Royal London Hospital, Barts Health NHS Trust, London E1 1FR, UK
| | - Ana Rita Mira
- Department of Gynaecological Oncology, Royal London Hospital, Barts Health NHS Trust, London E1 1FR, UK
- Hospital Garcia de Orta, 2805-267 Almada, Portugal
| | - Alexandra Lawrence
- Department of Gynaecological Oncology, Royal London Hospital, Barts Health NHS Trust, London E1 1FR, UK
| |
Collapse
|
5
|
Sharma T, Nisar S, Masoodi T, Macha MA, Uddin S, Akil AAS, Pandita TK, Singh M, Bhat AA. Current and emerging biomarkers in ovarian cancer diagnosis; CA125 and beyond. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2023; 133:85-114. [PMID: 36707207 DOI: 10.1016/bs.apcsb.2022.08.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Ovarian cancer (OC) is one of the most common causes of cancer-related death in women worldwide. Its five-year survival rates are worse than the two most common gynecological cancers, cervical and endometrial. This is because it is asymptomatic in the early stages and usually detected in the advanced metastasized stage. Thus, survival is increasingly dependent on timely diagnosis. The delay in detection is contributed partly by the occurrence of non-specific clinical symptoms in the early stages and the lack of effective biomarkers and detection approaches. This underlines the need for biomarker identification and clinical validation, enabling earlier diagnosis, effective prognosis, and response to therapy. Apart from the traditional diagnostic biomarkers for OC, several new biomarkers have been delineated using advanced high-throughput molecular approaches in recent years. They are currently being clinically evaluated for their true diagnostic potential. In this chapter, we document the commonly utilized traditional screening markers and recently identified emerging biomarkers in OC diagnosis, focusing on secretory and protein biomarkers. We also briefly reviewed the recent advances and prospects in OC diagnosis.
Collapse
Affiliation(s)
- Tarang Sharma
- Department of Medical Oncology, Dr. B.R Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India
| | - Sabah Nisar
- Department of Human Genetics-Precision Medicine in Diabetes, Obesity and Cancer Program, Sidra Medicine, Doha, Qatar
| | - Tariq Masoodi
- Laboratory of Cancer immunology and genetics, Sidra Medicine, Doha, Qatar
| | - Muzafar A Macha
- Watson-Crick Centre for Molecular Medicine, Islamic University of Science and Technology, Jammu and Kashmir, India
| | - Shahab Uddin
- Translational Research Institute, Academic Health System, Hamad Medical Corporation, Doha, Qatar; Laboratory Animal Research Center, Qatar University, Doha, Qatar
| | - Ammira Al-Shabeeb Akil
- Department of Human Genetics-Precision Medicine in Diabetes, Obesity and Cancer Program, Sidra Medicine, Doha, Qatar
| | - Tej K Pandita
- Center for Genomics and Precision Medicine, Texas A&M College of Medicine, Houston, TX, United States
| | - Mayank Singh
- Department of Medical Oncology, Dr. B.R Ambedkar Institute Rotary Cancer Hospital, All India Institute of Medical Sciences, New Delhi, India.
| | - Ajaz A Bhat
- Department of Human Genetics-Precision Medicine in Diabetes, Obesity and Cancer Program, Sidra Medicine, Doha, Qatar.
| |
Collapse
|
6
|
Punzón-Jiménez P, Lago V, Domingo S, Simón C, Mas A. Molecular Management of High-Grade Serous Ovarian Carcinoma. Int J Mol Sci 2022; 23:13777. [PMID: 36430255 PMCID: PMC9692799 DOI: 10.3390/ijms232213777] [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: 10/24/2022] [Revised: 11/04/2022] [Accepted: 11/07/2022] [Indexed: 11/11/2022] Open
Abstract
High-grade serous ovarian carcinoma (HGSOC) represents the most common form of epithelial ovarian carcinoma. The absence of specific symptoms leads to late-stage diagnosis, making HGSOC one of the gynecological cancers with the worst prognosis. The cellular origin of HGSOC and the role of reproductive hormones, genetic traits (such as alterations in P53 and DNA-repair mechanisms), chromosomal instability, or dysregulation of crucial signaling pathways have been considered when evaluating prognosis and response to therapy in HGSOC patients. However, the detection of HGSOC is still based on traditional methods such as carbohydrate antigen 125 (CA125) detection and ultrasound, and the combined use of these methods has yet to support significant reductions in overall mortality rates. The current paradigm for HGSOC management has moved towards early diagnosis via the non-invasive detection of molecular markers through liquid biopsies. This review presents an integrated view of the relevant cellular and molecular aspects involved in the etiopathogenesis of HGSOC and brings together studies that consider new horizons for the possible early detection of this gynecological cancer.
Collapse
Affiliation(s)
- Paula Punzón-Jiménez
- Carlos Simon Foundation, INCLIVA Health Research Institute, 46010 Valencia, Spain
| | - Victor Lago
- Department of Gynecologic Oncology, La Fe University and Polytechnic Hospital, 46026 Valencia, Spain
- Department of Obstetrics and Gynecology, CEU Cardenal Herrera University, 46115 Valencia, Spain
| | - Santiago Domingo
- Department of Gynecologic Oncology, La Fe University and Polytechnic Hospital, 46026 Valencia, Spain
- Department of Pediatrics, Obstetrics and Gynecology, Universidad de Valencia, 46010 Valencia, Spain
| | - Carlos Simón
- Carlos Simon Foundation, INCLIVA Health Research Institute, 46010 Valencia, Spain
- Department of Pediatrics, Obstetrics and Gynecology, Universidad de Valencia, 46010 Valencia, Spain
- Department of Pediatrics, Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard University, Boston, MA 02215, USA
- Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Aymara Mas
- Carlos Simon Foundation, INCLIVA Health Research Institute, 46010 Valencia, Spain
| |
Collapse
|
7
|
Precision gynecologic oncology: circulating cell free DNA epigenomic analysis, artificial intelligence and the accurate detection of ovarian cancer. Sci Rep 2022; 12:18625. [PMID: 36329159 PMCID: PMC9633647 DOI: 10.1038/s41598-022-23149-1] [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: 06/13/2022] [Accepted: 10/25/2022] [Indexed: 11/05/2022] Open
Abstract
Ovarian cancer (OC) is the most lethal gynecologic cancer due primarily to its asymptomatic nature and late stage at diagnosis. The development of non-invasive markers is an urgent priority. We report the accurate detection of epithelial OC using Artificial Intelligence (AI) and genome-wide epigenetic analysis of circulating cell free tumor DNA (cfTDNA). In a prospective study, we performed genome-wide DNA methylation profiling of cytosine (CpG) markers. Both conventional logistic regression and six AI platforms were used for OC detection. Further, we performed Gene Set Enrichment Analysis (GSEA) analysis to elucidate the molecular pathogenesis of OC. A total of 179,238 CpGs were significantly differentially methylated (FDR p-value < 0.05) genome-wide in OC. High OC diagnostic accuracies were achieved. Conventional logistic regression achieved an area under the ROC curve (AUC) [95% CI] 0.99 [± 0.1] with 95% sensitivity and 100% specificity. Multiple AI platforms each achieved high diagnostic accuracies (AUC = 0.99-1.00). For example, for Deep Learning (DL)/AI AUC = 1.00, sensitivity = 100% and 88% specificity. In terms of OC pathogenesis: GSEA analysis identified 'Adipogenesis' and 'retinoblastoma gene in cancer' as the top perturbed molecular pathway in OC. This finding of epigenomic dysregulation of molecular pathways that have been previously linked to cancer adds biological plausibility to our results.
Collapse
|
8
|
Zhang R, Siu MKY, Ngan HYS, Chan KKL. Molecular Biomarkers for the Early Detection of Ovarian Cancer. Int J Mol Sci 2022; 23:ijms231912041. [PMID: 36233339 PMCID: PMC9569881 DOI: 10.3390/ijms231912041] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 09/30/2022] [Accepted: 10/04/2022] [Indexed: 11/16/2022] Open
Abstract
Ovarian cancer is the deadliest gynecological cancer, leading to over 152,000 deaths each year. A late diagnosis is the primary factor causing a poor prognosis of ovarian cancer and often occurs due to a lack of specific symptoms and effective biomarkers for an early detection. Currently, cancer antigen 125 (CA125) is the most widely used biomarker for ovarian cancer detection, but this approach is limited by a low specificity. In recent years, multimarker panels have been developed by combining molecular biomarkers such as human epididymis secretory protein 4 (HE4), ultrasound results, or menopausal status to improve the diagnostic efficacy. The risk of ovarian malignancy algorithm (ROMA), the risk of malignancy index (RMI), and OVA1 assays have also been clinically used with improved sensitivity and specificity. Ongoing investigations into novel biomarkers such as autoantibodies, ctDNAs, miRNAs, and DNA methylation signatures continue to aim to provide earlier detection methods for ovarian cancer. This paper reviews recent advancements in molecular biomarkers for the early detection of ovarian cancer.
Collapse
|
9
|
Liberto JM, Chen SY, Shih IM, Wang TH, Wang TL, Pisanic TR. Current and Emerging Methods for Ovarian Cancer Screening and Diagnostics: A Comprehensive Review. Cancers (Basel) 2022; 14:2885. [PMID: 35740550 PMCID: PMC9221480 DOI: 10.3390/cancers14122885] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 06/06/2022] [Accepted: 06/08/2022] [Indexed: 02/04/2023] Open
Abstract
With a 5-year survival rate of less than 50%, ovarian high-grade serous carcinoma (HGSC) is one of the most highly aggressive gynecological malignancies affecting women today. The high mortality rate of HGSC is largely attributable to delays in diagnosis, as most patients remain undiagnosed until the late stages of -disease. There are currently no recommended screening tests for ovarian cancer and there thus remains an urgent need for new diagnostic methods, particularly those that can detect the disease at early stages when clinical intervention remains effective. While diagnostics for ovarian cancer share many of the same technical hurdles as for other cancer types, the low prevalence of the disease in the general population, coupled with a notable lack of sensitive and specific biomarkers, have made the development of a clinically useful screening strategy particularly challenging. Here, we present a detailed review of the overall landscape of ovarian cancer diagnostics, with emphasis on emerging methods that employ novel protein, genetic, epigenetic and imaging-based biomarkers and/or advanced diagnostic technologies for the noninvasive detection of HGSC, particularly in women at high risk due to germline mutations such as BRCA1/2. Lastly, we discuss the translational potential of these approaches for achieving a clinically implementable solution for screening and diagnostics of early-stage ovarian cancer as a means of ultimately improving patient outcomes in both the general and high-risk populations.
Collapse
Affiliation(s)
- Juliane M. Liberto
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; (J.M.L.); (I.-M.S.); (T.-L.W.)
| | - Sheng-Yin Chen
- School of Medicine, Chang Gung University, 33302 Taoyuan, Taiwan;
| | - Ie-Ming Shih
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; (J.M.L.); (I.-M.S.); (T.-L.W.)
- Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA;
| | - Tza-Huei Wang
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA;
- Department of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA
- Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Tian-Li Wang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA; (J.M.L.); (I.-M.S.); (T.-L.W.)
- Department of Gynecology and Obstetrics, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA;
| | - Thomas R. Pisanic
- Johns Hopkins Institute for NanoBioTechnology, Johns Hopkins University, Baltimore, MD 21218, USA
| |
Collapse
|
10
|
Zhu JW, Charkhchi P, Akbari MR. Potential clinical utility of liquid biopsies in ovarian cancer. Mol Cancer 2022; 21:114. [PMID: 35545786 PMCID: PMC9092780 DOI: 10.1186/s12943-022-01588-8] [Citation(s) in RCA: 49] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Accepted: 04/27/2022] [Indexed: 12/11/2022] Open
Abstract
Ovarian cancer (OC) is the most lethal gynecologic malignancy worldwide. One of the main challenges in the management of OC is the late clinical presentation of disease that results in poor survival. Conventional tissue biopsy methods and serological biomarkers such as CA-125 have limited clinical applications. Liquid biopsy is a novel sampling method that analyzes distinctive tumour components released into the peripheral circulation, including circulating tumour DNA (ctDNA), circulating tumour cells (CTCs), cell-free RNA (cfRNA), tumour-educated platelets (TEPs) and exosomes. Increasing evidence suggests that liquid biopsy could enhance the clinical management of OC by improving early diagnosis, predicting prognosis, detecting recurrence, and monitoring response to treatment. Capturing the unique tumour genetic landscape can also guide treatment decisions and the selection of appropriate targeted therapies. Key advantages of liquid biopsy include its non-invasive nature and feasibility, which allow for serial sampling and longitudinal monitoring of dynamic tumour changes over time. In this review, we outline the evidence for the clinical utility of each liquid biopsy component and review the advantages and current limitations of applying liquid biopsy in managing ovarian cancer. We also highlight future directions considering the current challenges and explore areas where more studies are warranted to elucidate its emerging clinical potential.
Collapse
Affiliation(s)
- Jie Wei Zhu
- Women's College Research Institute, Women's College Hospital, University of Toronto, 76 Grenville St, Toronto, ON, M5S 1B2, Canada.,Department of Medicine, McMaster University, Hamilton, ON, Canada
| | - Parsa Charkhchi
- Women's College Research Institute, Women's College Hospital, University of Toronto, 76 Grenville St, Toronto, ON, M5S 1B2, Canada
| | - Mohammad R Akbari
- Women's College Research Institute, Women's College Hospital, University of Toronto, 76 Grenville St, Toronto, ON, M5S 1B2, Canada. .,Institute of Medical Science, Faculty of Medicine, University of Toronto, Toronto, ON, Canada. .,Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
| |
Collapse
|
11
|
Lu Y, Li L. The Prognostic Value of Circulating Tumor DNA in Ovarian Cancer: A Meta-Analysis. Technol Cancer Res Treat 2021; 20:15330338211043784. [PMID: 34817271 PMCID: PMC8649094 DOI: 10.1177/15330338211043784] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background: Studies have shown that circulating tumor DNA (ctDNA) indicates a poor prognosis in ovarian cancer. In this study, meta-analysis was used to assess the relationship between ctDNA and the prognosis of patients with epithelial ovarian cancer. Methods: The clinical trials included in this study were obtained via a search of PubMed, the Cochrane Library, the Web of Science and Embase between the period of establishment and March 2020. We selected clinical studies using qualitative or quantitative ctDNA methods to analyse the prognosis of ovarian epithelial cancer, screened the studies according to the determined inclusion and exclusion criteria, and used the modified JADAD score scale and NOS scale for evaluation, with OS (overall survival) and PFS (progression-free survival) as end events. The Cochrane Evaluation Tool was used to evaluate the quality of the randomized controlled trials. Stata 15.0 software was used to combine the effect ratio (hazard ratio, HR) and its 95% confidence interval (CI). In addition, a source analysis of ctDNA specimens, an analysis of ctDNA detection methods and a subgroup and sensitivity analysis of FIGO staging were performed. Results: A total of 8 studies were included in this meta-analysis, and ctDNA was found to be an independent risk factor for patients with epithelial ovarian cancer (OS: HR = 2.36, 95% CI [1.76,3.17], P < .001; PFS: HR = 2.51, 95% CI [1.83,3.45]). Conclusions: The results of our analysis suggested that ctDNA is a potential biomarker that can be used to evaluate the prognosis of patients with ovarian cancer.
Collapse
Affiliation(s)
- Yuanyuan Lu
- 117981Guangxi Medical University Affiliated Cancer Hospital, Nanning, Guangxi, China
| | - Li Li
- 117981Guangxi Medical University Affiliated Cancer Hospital, Nanning, Guangxi, China
| |
Collapse
|
12
|
Future Screening Prospects for Ovarian Cancer. Cancers (Basel) 2021; 13:cancers13153840. [PMID: 34359740 PMCID: PMC8345180 DOI: 10.3390/cancers13153840] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 06/19/2021] [Accepted: 07/26/2021] [Indexed: 12/20/2022] Open
Abstract
Simple Summary Ovarian cancer (OC) has the highest mortality rate of all gynecological cancers. It is usually diagnosed in late stages (FIGO III-IV), and therefore, overall survival is very poor. If diagnosed at the early stages, ovarian cancer has a 90% five-year survival rate. Liquid biopsy has a good potential to improve early ovarian cancer detection and is discussed in this review. Abstract Current diagnostic tools used in clinical practice such as transvaginal ultrasound, CA 125, and HE4 are not sensitive and specific enough to diagnose OC in the early stages. A lack of early symptoms and an effective asymptomatic population screening strategy leads to a poor prognosis in OC. New diagnostic and screening methods are urgently needed for early OC diagnosis. Liquid biopsies have been considered as a new noninvasive and promising method, using plasma/serum, uterine lavage, and urine samples for early cancer detection. We analyzed recent studies on molecular biomarkers with specific emphasis on liquid biopsy methods and diagnostic efficacy for OC through the detection of circulating tumor cells, circulating cell-free DNA, small noncoding RNAs, and tumor-educated platelets.
Collapse
|
13
|
Liu CL, Yuan RH, Mao TL. The Molecular Landscape Influencing Prognoses of Epithelial Ovarian Cancer. Biomolecules 2021; 11:998. [PMID: 34356623 PMCID: PMC8301761 DOI: 10.3390/biom11070998] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/01/2021] [Accepted: 07/05/2021] [Indexed: 12/26/2022] Open
Abstract
Epithelial ovarian cancer (EOC) is one of the major increasing lethal malignancies of the gynecological tract, mostly due to delayed diagnosis and chemoresistance, as well as its very heterogeneous genetic makeup. Application of high-throughput molecular technologies, gene expression microarrays, and powerful preclinical models has provided a deeper understanding of the molecular characteristics of EOC. Therefore, molecular markers have become a potent tool in EOC management, including prediction of aggressiveness, prognosis, and recurrence, and identification of novel therapeutic targets. In addition, biomarkers derived from genomic/epigenomic alterations (e.g., gene mutations, copy number aberrations, and DNA methylation) enable targeted treatment of affected signaling pathways in advanced EOC, thereby improving the effectiveness of traditional treatments. This review outlines the molecular landscape and discusses the impacts of biomarkers on the detection, diagnosis, surveillance, and therapeutic targets of EOC. These findings focus on the necessity to translate these potential biomarkers into clinical practice.
Collapse
Affiliation(s)
- Chao-Lien Liu
- School of Medical Laboratory Science and Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan;
- PhD Program in Medical Biotechnology, College of Medical Science and Technology, Taipei Medical University, Taipei 11031, Taiwan
| | - Ray-Hwang Yuan
- Department of Surgery, National Taiwan University Hospital, Taipei 10002, Taiwan;
- Department of Surgery, College of Medicine, National Taiwan University, Taipei 10002, Taiwan
| | - Tsui-Lien Mao
- Department of Pathology, College of Medicine, National Taiwan University, Taipei 10002, Taiwan
- Department of Pathology, National Taiwan University Hospital, Taipei 10002, Taiwan
| |
Collapse
|
14
|
Timmerman D, Planchamp F, Bourne T, Landolfo C, du Bois A, Chiva L, Cibula D, Concin N, Fischerova D, Froyman W, Gallardo G, Lemley B, Loft A, Mereu L, Morice P, Querleu D, Testa AC, Vergote I, Vandecaveye V, Scambia G, Fotopoulou C. ESGO/ISUOG/IOTA/ESGE Consensus Statement on preoperative diagnosis of ovarian tumors. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2021; 58:148-168. [PMID: 33794043 DOI: 10.1002/uog.23635] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/28/2023]
Abstract
The European Society of Gynaecological Oncology (ESGO), the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG), the International Ovarian Tumour Analysis (IOTA) group and the European Society for Gynaecological Endoscopy (ESGE) jointly developed clinically relevant and evidence-based statements on the preoperative diagnosis of ovarian tumors, including imaging techniques, biomarkers and prediction models. ESGO/ISUOG/IOTA/ESGE nominated a multidisciplinary international group, including expert practising clinicians and researchers who have demonstrated leadership and expertise in the preoperative diagnosis of ovarian tumors and management of patients with ovarian cancer (19 experts across Europe). A patient representative was also included in the group. To ensure that the statements were evidence-based, the current literature was reviewed and critically appraised. Preliminary statements were drafted based on the review of the relevant literature. During a conference call, the whole group discussed each preliminary statement and a first round of voting was carried out. Statements were removed when consensus among group members was not obtained. The voters had the opportunity to provide comments/suggestions with their votes. The statements were then revised accordingly. Another round of voting was carried out according to the same rules to allow the whole group to evaluate the revised version of the statements. The group achieved consensus on 18 statements. This Consensus Statement presents these ESGO/ISUOG/IOTA/ESGE statements on the preoperative diagnosis of ovarian tumors and the assessment of carcinomatosis, together with a summary of the evidence supporting each statement.
Collapse
Affiliation(s)
- D Timmerman
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium
| | - F Planchamp
- Clinical Research Unit, Institut Bergonie, Bordeaux, France
| | - T Bourne
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
- Department of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium
- Department of Metabolism, Digestion and Reproduction, Queen Charlotte's & Chelsea Hospital, Imperial College, London, UK
| | - C Landolfo
- Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
| | - A du Bois
- Department of Gynaecology and Gynaecological Oncology, Evangelische Kliniken Essen-Mitte, Essen, Germany
| | - L Chiva
- Department of Gynaecology and Obstetrics, University Clinic of Navarra, Madrid, Spain
| | - D Cibula
- Department of Obstetrics and Gynaecology, First Faculty of Medicine, Charles University, General University Hospital in Prague, Prague, Czech Republic
| | - N Concin
- Department of Gynaecology and Gynaecological Oncology, Evangelische Kliniken Essen-Mitte, Essen, Germany
- Department of Obstetrics and Gynecology, Medical University of Innsbruck, Innsbruck, Austria
| | - D Fischerova
- Department of Obstetrics and Gynaecology, First Faculty of Medicine, Charles University, General University Hospital in Prague, Prague, Czech Republic
| | - W Froyman
- Department of Obstetrics and Gynecology, University Hospitals KU Leuven, Leuven, Belgium
| | - G Gallardo
- Department of Radiology, University Clinic of Navarra, Madrid, Spain
| | - B Lemley
- Patient Representative, President of Kraefti Underlivet (KIU), Denmark
- Chair Clinical Trial Project of the European Network of Gynaecological Cancer Advocacy Groups, ENGAGe
| | - A Loft
- Department of Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - L Mereu
- Department of Gynecology and Obstetrics, Gynecologic Oncology Unit, Santa Chiara Hospital, Trento, Italy
| | - P Morice
- Department of Gynaecological Surgery, Institut Gustave Roussy, Villejuif, France
| | - D Querleu
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy
- Department of Obstetrics and Gynecologic Oncology, University Hospital, Strasbourg, France
| | - A C Testa
- Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Institute of Obstetrics and Gynecology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - I Vergote
- Department of Obstetrics and Gynaecology and Gynaecologic Oncology, University Hospital Leuven, Leuven Cancer Institute, Leuven, Belgium
| | - V Vandecaveye
- Department of Radiology, University Hospitals Leuven, Leuven, Belgium
- Division of Translational MRI, Department of Imaging & Pathology KU Leuven, Leuven, Belgium
| | - G Scambia
- Department of Woman, Child and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy
- Institute of Obstetrics and Gynecology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - C Fotopoulou
- Department of Gynecologic Oncology, Hammersmith Hospital, Imperial College, London, UK
| |
Collapse
|
15
|
Timmerman D, Planchamp F, Bourne T, Landolfo C, du Bois A, Chiva L, Cibula D, Concin N, Fischerova D, Froyman W, Gallardo G, Lemley B, Loft A, Mereu L, Morice P, Querleu D, Testa C, Vergote I, Vandecaveye V, Scambia G, Fotopoulou C. ESGO/ISUOG/IOTA/ESGE Consensus Statement on preoperative diagnosis of ovarian tumours. Facts Views Vis Obgyn 2021; 13:107-130. [PMID: 34107646 PMCID: PMC8291986 DOI: 10.52054/fvvo.13.2.016] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
The European Society of Gynaecological Oncology (ESGO), the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG), the International Ovarian Tumour Analysis (IOTA) group and the European Society for Gynaecological Endoscopy (ESGE) jointly developed clinically relevant and evidence-based statements on the preoperative diagnosis of ovarian tumours, including imaging techniques, biomarkers and prediction models. ESGO/ISUOG/IOTA/ESGE nominated a multidisciplinary international group, including expert practising clinicians and researchers who have demonstrated leadership and expertise in the preoperative diagnosis of ovarian tumours and management of patients with ovarian cancer (19 experts across Europe). A patient representative was also included in the group. To ensure that the statements were evidence-based, the current literature was reviewed and critically appraised. Preliminary statements were drafted based on the review of the relevant literature. During a conference call, the whole group discussed each preliminary statement and a first round of voting was carried out. Statements were removed when a consensus among group members was not obtained. The voters had the opportunity to provide comments/suggestions with their votes. The statements were then revised accordingly. Another round of voting was carried out according to the same rules to allow the whole group to evaluate the revised version of the statements. The group achieved consensus on 18 statements. This Consensus Statement presents these ESGO/ISUOG/IOTA/ESGE statements on the preoperative diagnosis of ovarian tumours and the assessment of carcinomatosis, together with a summary of the evidence supporting each statement.
Collapse
|
16
|
Timmerman D, Planchamp F, Bourne T, Landolfo C, du Bois A, Chiva L, Cibula D, Concin N, Fischerova D, Froyman W, Gallardo Madueño G, Lemley B, Loft A, Mereu L, Morice P, Querleu D, Testa AC, Vergote I, Vandecaveye V, Scambia G, Fotopoulou C. ESGO/ISUOG/IOTA/ESGE Consensus Statement on pre-operative diagnosis of ovarian tumors. Int J Gynecol Cancer 2021; 31:961-982. [PMID: 34112736 PMCID: PMC8273689 DOI: 10.1136/ijgc-2021-002565] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 03/08/2021] [Indexed: 02/06/2023] Open
Abstract
The European Society of Gynaecological Oncology (ESGO), the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG), the International Ovarian Tumour Analysis (IOTA) group, and the European Society for Gynaecological Endoscopy (ESGE) jointly developed clinically relevant and evidence-based statements on the pre-operative diagnosis of ovarian tumors, including imaging techniques, biomarkers, and prediction models. ESGO/ISUOG/IOTA/ESGE nominated a multidisciplinary international group, including expert practising clinicians and researchers who have demonstrated leadership and expertise in the pre-operative diagnosis of ovarian tumors and management of patients with ovarian cancer (19 experts across Europe). A patient representative was also included in the group. To ensure that the statements were evidence-based, the current literature was reviewed and critically appraised. Preliminary statements were drafted based on the review of the relevant literature. During a conference call, the whole group discussed each preliminary statement and a first round of voting was carried out. Statements were removed when a consensus among group members was not obtained. The voters had the opportunity to provide comments/suggestions with their votes. The statements were then revised accordingly. Another round of voting was carried out according to the same rules to allow the whole group to evaluate the revised version of the statements. The group achieved consensus on 18 statements. This Consensus Statement presents these ESGO/ISUOG/IOTA/ESGE statements on the pre-operative diagnosis of ovarian tumors and the assessment of carcinomatosis, together with a summary of the evidence supporting each statement.
Collapse
Affiliation(s)
- Dirk Timmerman
- Gynecology and Obstetrics, University Hospitals KU Leuven, Leuven, Belgium .,Development and Regeneration, KU Leuven, Leuven, Belgium
| | | | - Tom Bourne
- Gynecology and Obstetrics, University Hospitals KU Leuven, Leuven, Belgium.,Development and Regeneration, KU Leuven, Leuven, Belgium.,Metabolism Digestion and Reproduction, Queen Charlotte's & Chelsea Hospital, Imperial College, London, UK
| | - Chiara Landolfo
- Woman, Child and Public Health, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy
| | - Andreas du Bois
- Gynaecology and Gynaecological Oncology, Evangelische Kliniken Essen-Mitte, Essen, Germany
| | - Luis Chiva
- Gynaecology and Obstetrics, University Clinic of Navarra, Madrid, Spain
| | - David Cibula
- Obstetrics and Gynaecology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Nicole Concin
- Gynaecology and Gynaecological Oncology, Evangelische Kliniken Essen-Mitte, Essen, Germany.,Obstetrics and Gynecology, Medical University of Innsbruck, Innsbruck, Austria
| | - Daniela Fischerova
- Obstetrics and Gynaecology, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - Wouter Froyman
- Gynecology and Obstetrics, University Hospitals KU Leuven, Leuven, Belgium
| | | | - Birthe Lemley
- European Network of Gynaecological Cancers Advocacy Groups (ENGAGe) Executive Group, Prague, Czech Republic.,KIU - Patient Organisation for Women with Gynaecological Cancer, Copenhagen, Denmark
| | - Annika Loft
- Clinical Physiology, Nuclear Medicine & PET, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Liliana Mereu
- Gynecology and Obstetrics, Gynecologic Oncology Unit, Santa Chiara Hospital, Trento, Italy
| | - Philippe Morice
- Gynaecological Surgery, Institut Gustave Roussy, Villejuif, France
| | - Denis Querleu
- Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy.,Obstetrics and Gynecologic Oncology, University Hospital, Strasbourg, France
| | - Antonia Carla Testa
- Woman, Child and Public Health, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy.,Obstetrics and Gynecology, Università Cattolica del Sacro Cuore, Rome, Italy
| | - Ignace Vergote
- Obstetrics and Gynaecology and Gynaecologic Oncology, University Hospital Leuven, Leuven Cancer Institute, Leuven, Belgium
| | - Vincent Vandecaveye
- Radiology, University Hospitals Leuven, Leuven, Belgium.,Division of Translational MRI, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Giovanni Scambia
- Woman, Child and Public Health, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy.,Obstetrics and Gynecology, Università Cattolica del Sacro Cuore, Rome, Italy
| | | |
Collapse
|
17
|
In Silico screening of circulating tumor DNA, circulating microRNAs, and long non-coding RNAs as diagnostic molecular biomarkers in ovarian cancer: A comprehensive meta-analysis. PLoS One 2021; 16:e0250717. [PMID: 33901236 PMCID: PMC8075214 DOI: 10.1371/journal.pone.0250717] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 04/09/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Ovarian cancer (OC) is a leading cause of death in gynecological malignancies worldwide. Multitudinous studies have suggested the potential of circulating tumor DNA (ctDNA), circulating microRNAs (miRNAs), and long non-coding RNAs (lncRNAs) as novel diagnostic molecular biomarkers for OC. Here, we include three updated meta-analysis methods using different molecular biomarkers to evaluate their discriminative value in OC diagnosis. METHODS We conducted three meta-analyses after searching different databases, and 23 eligible articles, including 8 concerning ctDNA, 11 concerning miRNAs, and 4 concerning lncRNAs, were found. Further, we pooled data concerning the sensitivity, specificity, and other indicators of accuracy for ctDNA/miRNAs/lncRNAs in the diagnosis of OC. The heterogeneity was further explored by meta-regressions and subgroup analyses, and Deeks' funnel plots were used to measure the publication bias of these three meta-analyses. RESULTS In all, this meta-analysis included 1732 OC patients and 3958 controls. The sensitivity of ctDNA for OC diagnosis was superior to that of lncRNA and miRNA (84% vs. 81% vs. 78%). Moreover, the specificity and area under the receiver-operating characteristic (ROC) curve (AUC) of ctDNA were 91% and 94%, which were significantly higher than those of miRNA and lncRNAs (78% and 85%; 78% and 86%, respectively). No significant difference was observed among the two meta-analyses of ctDNA and lncRNA (P > 0.05) with regard to publication bias, while the meta-analysis of miRNA observed a significantly small publication bias (P < 0.05). CONCLUSION ctDNA/miRNAs/lncRNAs may be promising molecular biomarkers for OC diagnosis. Further large-scale studies are needed to verify the potential applicability of ctDNA/miRNAs/lncRNAs molecular signatures alone or in combination as diagnostic molecular biomarkers for OC.
Collapse
|
18
|
Can Circulating Cell-Free DNA or Circulating Tumor DNA Be a Promising Marker in Ovarian Cancer? JOURNAL OF ONCOLOGY 2021; 2021:6627241. [PMID: 33936202 PMCID: PMC8062166 DOI: 10.1155/2021/6627241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 03/24/2021] [Accepted: 03/31/2021] [Indexed: 12/29/2022]
Abstract
In recent years, the studies on ovarian cancer have made great progress, but the morbidity and mortality of patients with ovarian cancer are still very high. Due to the lack of effective early screening and detecting tools, 70% of ovarian cancer patients are diagnosed at an advanced stage. The overall survival rate of ovarian cancer patients treated with surgical combined with chemotherapy has not been significantly improved, and they usually relapse or resist chemotherapy. Therefore, a novel tumor marker is beneficial for the diagnosis and prognosis of patients with ovarian cancer. As the index of "liquid biopsy," circulating cell-free DNA/circulating tumor DNA (cfDNA/ctDNA) has attracted a lot of attention. It has more remarkable advantages than traditional methods and gives a wide range of clinical applications in kinds of solid tumors. This review attempts to illuminate the important value of cfDNA/ctDNA in ovarian cancer, including diagnosis, monitoring, and prognosis. Meanwhile, we will present future directions and challenges for detection of cfDNA/ctDNA.
Collapse
|
19
|
Circulating Cell-Free DNA Methylation Profiles in the Early Detection of Ovarian Cancer: A Scoping Review of the Literature. Cancers (Basel) 2021; 13:cancers13040838. [PMID: 33671298 PMCID: PMC7923044 DOI: 10.3390/cancers13040838] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2021] [Revised: 02/04/2021] [Accepted: 02/11/2021] [Indexed: 12/27/2022] Open
Abstract
Simple Summary There are limited non-invasive methods for detecting epithelial ovarian cancer despite early detection and treatment dramatically increasing survival. As alterations in serum or plasma cell-free (cf)DNA methylation occur early in cancer development, they are promising biomarkers for ovarian cancer. Our literature review includes 18 studies depicting a wide array of gene targets and techniques. The data suggest a good performance of these cfDNA methylation tests, with accuracies up to 91% in detecting ovarian cancer in serum or plasma. Abstract Epithelial ovarian cancer is the most lethal gynecologic malignancy and has few reliable non-invasive tests for early detection or diagnosis. Recent advances in genomic techniques have bolstered the utility of cell-free DNA (cfDNA) evaluation from peripheral blood as a viable cancer biomarker. For multiple reasons, comparing alterations in DNA methylation is particularly advantageous over other molecular assays. We performed a literature review for studies exploring cfDNA methylation in serum and plasma for the early diagnosis of ovarian cancer. The data suggest that serum/plasma cfDNA methylation tests have strong diagnostic accuracies for ovarian cancer (median 85%, range 40–91%). Moreover, there is improved diagnostic performance if multiple genes are used and if the assays are designed to compare detection of ovarian cancer with benign pelvic masses. We further highlight the vast array of possible gene targets and techniques, and a need to include more earlier-stage ovarian cancer samples in test development. Overall, we show the promise of cfDNA methylation analysis in the development of a viable diagnostic biomarker for ovarian cancer.
Collapse
|
20
|
Chiou CC, Wang CL, Luo JD, Liu CY, Ko HW, Yang CT. Targeted Sequencing of Circulating Cell Free DNA Can Be Used to Monitor Therapeutic Efficacy of Tyrosine Kinase Inhibitors in Non-small Cell Lung Cancer Patients. Cancer Genomics Proteomics 2021; 17:417-423. [PMID: 32576586 DOI: 10.21873/cgp.20200] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Revised: 03/13/2020] [Accepted: 03/14/2020] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND/AIM Circulating tumor DNA (ctDNA) bears specific mutations derived from tumor cells. The amount of mutant ctDNA may reflect tumor burden. In this study, we detected epidermal growth factor receptor (EGFR) mutations in ctDNA as a monitoring marker for the response of non-small cell lung cancer (NSCLC) patients to tyrosine kinase inhibitors (TKIs). PATIENTS AND METHODS Serial plasma samples from eight NSCLC patients during TKI treatment were collected. Libraries with barcoded adapters were constructed from ctDNA of these plasma samples using a PCR-based targeted DNA panel. The libraries were then sequenced for measuring EGFR mutations. In addition, carcinoembryonic antigen (CEA) was also measured in these patients. RESULTS In six patients who suffered disease progression (PD), five had elevated EGFR mutation reads before PD. In the two patients who did not develop PD, EGFR mutations remained undetectable in their plasma. The CEA levels were higher than the cutoff value in most samples and had a poor correlation with disease status. CONCLUSION The mutation count of tumor-specific mutations can be a monitoring marker of TKI treatment in NSCLC patients.
Collapse
Affiliation(s)
- Chiuan-Chian Chiou
- Department of Medical Biotechnology and Laboratory Science, College of Medicine, Chang Gung University, Taoyuan, Taiwan, R.O.C.,Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan, R.O.C.,Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, R.O.C
| | - Chih-Liang Wang
- Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, R.O.C.,Department of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan, R.O.C
| | - Ji-Dung Luo
- Bioinformatics Resource Center, The Rockefeller University, New York, NY, U.S.A
| | - Chien-Ying Liu
- Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, R.O.C.,Department of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan, R.O.C
| | - How-Wen Ko
- Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, R.O.C
| | - Cheng-Ta Yang
- Department of Thoracic Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan, R.O.C. .,Department of Respiratory Therapy, College of Medicine, Chang Gung University, Taoyuan, Taiwan, R.O.C
| |
Collapse
|
21
|
Zhang J, Yuan Y, Gao S, Zhao X, Li H. Diagnostic performance of circulating cell-free DNA for hepatocellular carcinoma: a systematic review and meta-analysis. Biomark Med 2021; 15:219-239. [PMID: 33470842 DOI: 10.2217/bmm-2020-0334] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Background: We aimed to assess the diagnostic performance of circulating cell-free DNA (cfDNA) in hepatocellular carcinoma (HCC). Materials & methods: After a systematic literature search bivariate linear mixed models were used to integrate sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic odds ratio. The area under receiver operating characteristics curves of the included studies was used to estimate the diagnostic value. Results: Thirty-eight articles enrolled in quantitative synthesis. In overall analysis the pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio and area under receiver operating characteristics curves for cfDNA in distinguishing HCC patients from healthy controls were 0.54, 0.90, 5.23, 0.51, 10.27 and 0.82, respectively. Conclusion: This study suggests that cfDNA has a promising diagnostic accuracy in detection of HCC.
Collapse
Affiliation(s)
- Jinmei Zhang
- Department of Infectious Diseases, Weifang Yidu Central Hospital, Qingzhou 262500, China
| | - Yuan Yuan
- Department of Infectious Diseases, Weifang Yidu Central Hospital, Qingzhou 262500, China
| | - Shuxia Gao
- GI Medicine Department, Weifang Yidu Central Hospital, Qingzhou 262500, China
| | - Xue Zhao
- Respiratory Department, Weifang Yidu Central Hospital, Qingzhou 262500, China
| | - Hong Li
- Department of Infectious Diseases, Weifang Yidu Central Hospital, Qingzhou 262500, China
| |
Collapse
|
22
|
Zheng X, Li X, Wang X. Extracellular vesicle-based liquid biopsy holds great promise for the management of ovarian cancer. Biochim Biophys Acta Rev Cancer 2020; 1874:188395. [PMID: 32698041 DOI: 10.1016/j.bbcan.2020.188395] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2020] [Revised: 07/02/2020] [Accepted: 07/14/2020] [Indexed: 12/17/2022]
Abstract
Ovarian cancer is a highly lethal gynecological disease because most patients are diagnosed in advanced stages due to a lack of appropriate markers or methods for early detection. Extracellular vesicles (EVs) are small biological vesicles released by all types of cells and are widely distributed in biofluids. These vesicles and their bioactive contents are involved in various aspects of tumorigenesis and development, and some of them could be detected in biofluids from liquid biopsy and used as markers for cancer management. Liquid biopsy is a recently developed method for disease diagnosis and real-time monitoring by detecting biomolecules in biofluids such as plasma. The operation is minimally invasive and relatively convenient, especially for patients with cancer. In this review, we describe the use of EV-based liquid biopsy in ovarian cancer and summarize recent advances in technologies for EV isolation and detection, as well as biomarkers identified from ovarian cancer-derived EVs, with a focus on their potential roles in diagnosis and progression monitoring. Although the advantages of liquid biopsy make this approach promising, some technological challenges remain, and qualified biomarkers for clinical use are still being explored.
Collapse
Affiliation(s)
- Xiaocui Zheng
- Department of Obstetrics and Gynecology, Shanghai Jiao Tong University School of Medicine Xinhua Hospital, Shanghai, China
| | - Xiaoduan Li
- Department of Gynecology, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xipeng Wang
- Department of Obstetrics and Gynecology, Shanghai Jiao Tong University School of Medicine Xinhua Hospital, Shanghai, China.
| |
Collapse
|
23
|
Konstantinos S, Petroula T, Evangelos M, Polina G, Argyro G, Sokratis G, Anna R, Andrianos N, Agni P, Michael K, Konstantinos P, George M, Mara S. Assessing the practice of LuPOR for poor responders: a prospective study evaluating follicular fluid cfDNA levels during natural IVF cycles. J Assist Reprod Genet 2020; 37:1183-1194. [PMID: 32221790 DOI: 10.1007/s10815-020-01743-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2019] [Accepted: 03/12/2020] [Indexed: 01/08/2023] Open
Abstract
PURPOSE The aim of this study is to provide data on the practice of Luteal Phase Oocyte Retrieval (LuPOR). The authors assess cell-free DNA levels in follicular fluid (ff cfDNA) from poor responders undergoing natural cycles, and comparing it to respective data originating from follicular phase oocyte retrievals. METHODS Forty-seven women were eligible for this prospective study. Participants were classified as poor responders based on Bologna criteria while being detected with a second follicular wave. Follicular fluid was collected and prepared for cfDNA extraction. Levels of cfDNA were quantified via Q-PCR employing the ALU115 and ALU247 primers. These primers are associated with apoptotic and necrotic events. Levels of ff cfDNA resulting from follicular phase oocyte retrieval (FoPOR) and LuPOR-performed in a single menstrual cycle were associated with the number and maturation status of yielded oocytes and the number and fertilization status of resulting zygotes. Survival rate following thawing of cryopreserved zygotes, along with the resulting number of cleavage stage and blastocyst stage embryos are provided. RESULTS Mean levels of ALU115 were significantly lower during FoPOR when compared to LuPOR (0.79 ± 0.72 vs 1.46 ± 1.59 ng/μl, p = 0.02). Regarding the FoPOR group, a significant positive correlation of serum estradiol and ALU115 concentration (p = 0.04) was revealed. A significant negative correlation between serum estradiol and cfDNA integrity was observed both during FoPOR (p = 0.03) and LuPOR (p = 0.03). A significant lower number of retrieved (1.09 ± 0.28 vs 1.29 ± 0.58, p = 0.02) and MII oocytes (0.77 ± 0.55 vs 1.08 ± 0.61, p = 0.02) was observed when comparing the FoPOR to LuPOR groups respectively. The integrity of cfDNA was observed to be higher in FoPOR originating embryos that arrested either prior to cleavage (0.28 ± 0.13 vs 0.17 ± 0.10, p = 0.006) or prior to blastocyst formation (0.28 ± 0.12 vs 0.13 ± 0.06, p = 0.04). In the case of LuPOR originating embryos, cfDNA integrity was observed to be higher in embryos that arrested only prior to the blastocyst stage (0.27 ± 0.20 vs 0.11 ± 0.07, p = 0.008). Similarly, cfDNA integrity was observed to be lower in top quality blastocysts originating from FoPOR (0.07 ± 0.04 vs 0.17 ± 0.05, p = 0.03) and in top quality cleavage stage embryos (0.09 ± 0.06 vs 0.31 ± 0.22, p = 0.01) and blastocysts (0.06 ± 0.02 vs 0.14 ± 0.06, p = 0.02) originating from LuPOR. CONCLUSIONS Our results indicate that ff originating from LuPOR presents with higher levels of cfDNA. The higher cfDNA levels are attributed to mainly apoptotic events, as the ALU247 levels and DNA integrity did not differ statistically significantly between FoPOR and LuPOR. The absolute mean level of ALU247 corresponding to necrotic events was higher in LuPOR. Regarding embryological data, cfDNA integrity was correlated with both number and quality of cleavage stage embryos in both FoPOR and LuPOR, along with blastocyst stage embryos in LuPOR. Necrotic events were associated with poorer blastocyst formation rate and blastocyst quality in LuPOR. As the comparison between FoPOR and LuPOR results to similar IVF laboratory data, the practice of LuPOR may stand as a promising approach for poor responders, while it merits further investigation.
Collapse
Affiliation(s)
| | - Tsioulou Petroula
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Maziotis Evangelos
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Giannelou Polina
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Glava Argyro
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Grigoriadis Sokratis
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Rapani Anna
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Nezos Andrianos
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Pantou Agni
- Genesis Athens Clinic, Centre for Human Reproduction, Athens, Greece
| | - Koutsilieris Michael
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Mastorakos George
- Assisted Conception Unit, 2nd Department of Obstetrics & Gynecology, Aretaieion Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece
| | - Simopoulou Mara
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
- Assisted Conception Unit, 2nd Department of Obstetrics & Gynecology, Aretaieion Hospital, Medical School, National and Kapodistrian University of Athens, Athens, Greece.
| |
Collapse
|
24
|
Bovbjerg ML. Current Resources for Evidence-Based Practice, January 2020. J Obstet Gynecol Neonatal Nurs 2020; 49:116-124. [DOI: 10.1016/j.jogn.2019.11.009] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
|