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Velayo CL, Reforma KN, Sicam RVG, Diwa MH, Sy ADR, Tantengco OAG. Improving diagnostic strategies for ovarian cancer in Filipino women using ultrasound imaging and a multivariate index assay. Cancer Epidemiol 2022; 81:102253. [PMID: 36179631 DOI: 10.1016/j.canep.2022.102253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 08/27/2022] [Accepted: 09/10/2022] [Indexed: 11/02/2022]
Abstract
OBJECTIVE To evaluate the clinical performance and overall utility of imaging and biomarker assays in discriminating between benign and malignant ovarian masses in a Filipino population. METHODS This is a prospective cohort study among Filipino women undergoing assessment for an ovarian mass in a tertiary center. All included patients underwent a physical examination before level III specialist ultrasonographic and Doppler evaluation, multivariate index assay (MIA2G), and surgery for an adnexal mass. Ovarian tumors were classified as high-risk for malignancy based on the International Ovarian Tumour Analysis (IOTA) - Logistic Regression 2 (LR2) score. The ovarian imaging and biomarker results were correlated with the reference standard: histological findings. RESULTS Among the 379 women with adnexal masses enrolled in this study, 291 were evaluable with ultrasound imaging, biomarker assays, and histopathological results. The risk of malignancy was higher for women classified as high-risk based on IOTA-LR2 (≥10%). The sensitivity, specificity, and diagnostic accuracy for the prediction of malignancy were 81.2%, 81%, and 0.81 (95% CI: 0.77-0.86) for IOTA-LR2; 77.5%, 66.7%, and 0.72 (95% CI: 0.67-0.77) for CA-125; and 91.3%, 41.2%, and 0.66 (95% CI: 0.62-0.71) for MIA2G. A combination of IOTA-LR2 and MIA2G significantly influenced the diagnostic performance and the result. When MIA2G was combined with IOTA-LR2 in parallel, the sensitivity (94.2%) and NPV (87.7%) increased, but the specificity (37.3%) decreased. When combined with IOTA-LR2 in series, there were fewer false positives, which resulted in improved specificity (85%). CONCLUSION This study determined the utility of ovarian imaging and a second-generation multivariate index assay in predicting the risk of ovarian malignancy. IOTA-LR2 and MIA2G were useful in classifying patients with a high risk for ovarian malignancy.
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Affiliation(s)
- Clarissa L Velayo
- Department of Physiology, College of Medicine, University of the Philippines Manila, Manila, Philippines; Department of Obstetrics and Gynecology, University of the Philippines - Philippine General Hospital, Taft Avenue, Manila, Philippines.
| | - Kareen N Reforma
- Department of Obstetrics and Gynecology, University of the Philippines - Philippine General Hospital, Taft Avenue, Manila, Philippines
| | - Renee Vina G Sicam
- Department of Obstetrics and Gynecology, University of the Philippines - Philippine General Hospital, Taft Avenue, Manila, Philippines
| | - Michele H Diwa
- Department of Pathology, College of Medicine, University of the Philippines Manila, Manila, Philippines
| | - Alvin Duke R Sy
- Department of Epidemiology and Biostatistics, College of Public Health, University of the Philippines Manila, Philippines
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Dunton CJ, Eskander RN, Bullock RG, Pappas T. Low-risk multivariate index assay scores, physician referral and surgical choices in women with adnexal masses. Curr Med Res Opin 2020; 36:2079-2083. [PMID: 33107342 DOI: 10.1080/03007995.2020.1842726] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
Abstract
OBJECTIVE To assess the use of Multivariate Index Assay (MIA OVA1) by gynecologists and determine referral practices and surgical decision making for women with adnexal masses and low-risk MIA OVA1 scores. METHODS Information on patients who received an OVA1 test was collected retrospectively from 22 gynecologic practices through a chart review. Referral patterns were examined for patients with low-risk OVA1 results prior to first surgical intervention. Chart reviews were from a variety of practice and hospital settings representing major geographic regions within the United States. RESULTS A total of 282 independent patient charts were reviewed. Low-risk results were found for 146 patients (52%). Surgery was performed on 82 (56%) patients with low-risk scores. The referral rate to specialty care was 21% (17/82) for low-risk OVA1 patients. Three low-malignant potential tumors were identified in the low-risk patients, with no cases of invasive malignancy. Eighty-six percent of the surgeries performed on low-risk OVA1 patients were minimally invasive. In 44% of the low-risk OVA1 patients, no surgical intervention was performed. CONCLUSIONS A high proportion of low-risk OVA1 patients were not referred to a gynecologic oncologist prior to surgery, indicating gynecologists may use MIA OVA1 along with clinical and radiographic findings to appropriately retain patients for their care. This practice is safe and may be cost-saving, with patient satisfaction implications.
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Affiliation(s)
| | - Ramez N Eskander
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, La Jolla, CA, USA
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Terzic M, Aimagambetova G, Norton M, Della Corte L, Marín-Buck A, Lisón JF, Amer-Cuenca JJ, Zito G, Garzon S, Caruso S, Rapisarda AMC, Cianci A. Scoring systems for the evaluation of adnexal masses nature: current knowledge and clinical applications. J OBSTET GYNAECOL 2020; 41:340-347. [PMID: 32347750 DOI: 10.1080/01443615.2020.1732892] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Adnexal masses are a common finding in women, with 20% of them developing at least one pelvic mass during their lifetime. There are more than 30 different subtypes of adnexal tumours, with multiple different subcategories, and the correct characterisation of the pelvic masses is of paramount importance to guide the correct management. On that basis, different algorithms and scoring systems have been developed to guide the clinical assessment. The first scoring system implemented into the clinical practice was the Risk of Malignancy Index, which combines ultrasound evaluation, menopausal status, and serum CA-125 levels. Today, current guidelines regarding female patients with adnexal masses include the application of International Ovarian Tumours Analysis simple rules, logistic regression model 1 (LR1) and LR2, OVERA, cancer ovarii non-invasive assessment of treating strategy, and assessment of Different Neoplasias in the adnexa. In this scenario, the choice of the scoring system for the discrimination between benign and malignant ovarian tumours can be complex when approaching patients with adnexal masses. This review aims to summarise the available evidence regarding the different scoring systems to provide a complete overview of the topic.
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Affiliation(s)
- Milan Terzic
- Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan.,Department of Obstetrics and Gynecology, National Research Center of Mother and Child Health, University Medical Center, Astana, Kazakhstan.,Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Gulzhanat Aimagambetova
- Department of Biomedical Sciences, Nazarbayev University School of Medicine, Astana, Kazakhstan
| | - Melanie Norton
- Department of Urogynaecology, Whittington Hospital, London, UK
| | - Luigi Della Corte
- Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
| | - Alejandro Marín-Buck
- Department of Surgery, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.,Department of Gynecology, Hospital Provincial de Castellón, Castellón, Spain
| | - Juan Francisco Lisón
- Department of Medicine, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain.,CIBER of Physiopathology of Obesity and Nutrition CIBERobn, CB06/03 Carlos III Health Institute, Madrid, Spain
| | - Juan José Amer-Cuenca
- Department of Physiotherapy, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
| | - Gabriella Zito
- Department of Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS "Burlo Garofolo", Trieste, Italy
| | - Simone Garzon
- Department of Obstetrics and Gynecology, "Filippo Del Ponte" Hospital, University of Insubria, Varese, Italy
| | - Salvatore Caruso
- Obstetrics and Gynecology Unit, Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy
| | - Agnese Maria Chiara Rapisarda
- Obstetrics and Gynecology Unit, Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy
| | - Antonio Cianci
- Obstetrics and Gynecology Unit, Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy
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Bullock RG, Smith A, Munroe DG, Ueland FR, Goodrich ST, Pappas TC, Fredericks TI, Bonato V. Combining A Second-Generation Multivariate Index Assay with Ovarian Imaging Improves the Preoperative Assessment of An Adnexal Mass. J Surg Oncol 2019. [DOI: 10.31487/j.jso.2019.03.04] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
Background: To understand the relationship between imaging and the next generation multivariate index assay (MIA2G) in the preoperative assessment of an adnexal mass. Methods: Serum samples and imaging data from two previously published studies are reanalyzed using the MIA2G test. We calculated the clinical performance of MIA2G and discrete imaging features associated with malignant risk. Results: 878 women were eligible for this analysis, 48.3% post-menopausal and 51.7% pre-menopausal. The prevalence of having a malignant pathology was 18%. Ultrasound was the most frequently used imaging modality. The combination of MIA2G “or” ultrasound resulted in higher sensitivity than either test alone, 93.5% compared to 87.6% for MIA2G and 74.2% for ultrasound. The negative predictive value was high: 94.6% for ultrasound, 98.1% for MIA2G “or” ultrasound. MIA2G “and” ultrasound had higher specificity but lower sensitivity than MIA2G or ultrasound alone. Similar results were seen for CT scan when evaluated with MIA2G. Conclusion: MIA2G and pelvic imaging are complementary tests and interpreting them together can provide important information about the malignant risk of an ovarian tumor. For physicians making decisions about a referral to a specialist, the combination of MIA2G “or” ultrasound has the highest sensitivity in predicting ovarian malignancy.
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Carvalho VPD, Grassi ML, Palma CDS, Carrara HHA, Faça VM, Candido Dos Reis FJ, Poersch A. The contribution and perspectives of proteomics to uncover ovarian cancer tumor markers. Transl Res 2019; 206:71-90. [PMID: 30529050 DOI: 10.1016/j.trsl.2018.11.001] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2018] [Revised: 11/07/2018] [Accepted: 11/13/2018] [Indexed: 12/13/2022]
Abstract
Despite all the advances in understanding the mechanisms involved in ovarian cancer (OC) development, many aspects still need to be unraveled and understood. Tumor markers (TMs) are of special interest in this disease. Some aspects of clinical management of OC might be improved by the use of validated TMs, such as differentiating subtypes, defining the most appropriate treatment, monitoring the course of the disease, or predicting clinical outcome. The Food and Drug Administration (FDA) has approved a few TMs for OC: CA125 (cancer antigen 125; monitoring), HE4 (Human epididymis protein; monitoring), ROMA (Risk Of Malignancy Algorithm; HE4+CA125; prediction of malignancy) and OVA1 (Vermillion's first-generation Multivariate Index Assay [MIA]; prediction of malignancy). Proteomics can help advance the research in the field of TMs for OC. A variety of biological materials are being used in proteomic analysis, among them tumor tissues, interstitial fluids, tumor fluids, ascites, plasma, and ovarian cancer cell lines. However, the discovery and validation of new TMs for OC is still very challenging. The enormous heterogeneity of histological types of samples and the individual variability of patients (lifestyle, comorbidities, drug use, and family history) are difficult to overcome in research protocols. In this work, we sought to gather relevant information regarding TMs, OC, biological samples for proteomic analysis, as well as markers and algorithms approved by the FDA for use in clinical routine.
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Affiliation(s)
| | - Mariana Lopes Grassi
- Department of Biochemistry and Immunology, FMRP, University of São Paulo, Ribeirão Preto, SP, Brazil; Center for Cell Based Therapy, Hemotherapy Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | - Camila de Souza Palma
- Department of Biochemistry and Immunology, FMRP, University of São Paulo, Ribeirão Preto, SP, Brazil; Center for Cell Based Therapy, Hemotherapy Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | - Vitor Marcel Faça
- Department of Biochemistry and Immunology, FMRP, University of São Paulo, Ribeirão Preto, SP, Brazil; Center for Cell Based Therapy, Hemotherapy Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil
| | | | - Aline Poersch
- Department of Biochemistry and Immunology, FMRP, University of São Paulo, Ribeirão Preto, SP, Brazil; Center for Cell Based Therapy, Hemotherapy Center of Ribeirão Preto, Ribeirão Preto, SP, Brazil.
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Ore RM, Chen Q, DeSimone CP, Miller RW, Baldwin LA, van Nagell JR, Huang B, Tucker TC, Johnson MS, Fredericks TI, Ueland FR. Population-Based Analysis of Patient Age and Other Disparities in the Treatment of Ovarian Cancer in Central Appalachia and Kentucky. South Med J 2018; 111:333-341. [DOI: 10.14423/smj.0000000000000821] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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Abstract
Adnexal masses (ie, masses of the ovary, fallopian tube, or surrounding tissues) commonly are encountered by obstetrician-gynecologists and often present diagnostic and management dilemmas. Most adnexal masses are detected incidentally on physical examination or at the time of pelvic imaging. Less commonly, a mass may present with symptoms of acute or intermittent pain. Management decisions often are influenced by the age and family history of the patient. Although most adnexal masses are benign, the main goal of the diagnostic evaluation is to exclude malignancy. The purpose of this document is to provide guidelines for the evaluation and management of adnexal masses in adolescents, pregnant women, and nonpregnant women and to outline criteria for the identification of adnexal masses that are likely to be malignant and may warrant referral to or consultation with a gynecologic oncologist.
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Coleman RL, Herzog TJ, Chan DW, Munroe DG, Pappas TC, Smith A, Zhang Z, Wolf J. Validation of a second-generation multivariate index assay for malignancy risk of adnexal masses. Am J Obstet Gynecol 2016; 215:82.e1-82.e11. [PMID: 26970494 DOI: 10.1016/j.ajog.2016.03.003] [Citation(s) in RCA: 82] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Revised: 01/22/2016] [Accepted: 03/02/2016] [Indexed: 11/15/2022]
Abstract
BACKGROUND Women with adnexal mass suspected of ovarian malignancy are likely to benefit from consultation with a gynecologic oncologist, but imaging and biomarker tools to ensure this referral show low sensitivity and may miss cancer at critical stages. OBJECTIVE The multivariate index assay (MIA) was designed to improve the detection of ovarian cancer among women undergoing surgery for a pelvic mass. To improve the prediction of benign masses, we undertook the redesign and validation of a second-generation MIA (MIA2G). STUDY DESIGN MIA2G was developed using banked serum samples from a previously published prospective, multisite registry of patients who underwent surgery to remove an adnexal mass. Clinical validity was then established using banked serum samples from the OVA500 trial, a second prospective cohort of adnexal surgery patients. Based on the final pathology results of the OVA500 trial, this intended-use population for MIA2G testing was high risk, with an observed cancer prevalence of 18.7% (92/493). Coded samples were assayed for MIA2G biomarkers by an external clinical laboratory. Then MIA2G results were calculated and submitted to a clinical statistics contract organization for decoding and comparison to MIA results for each subject. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated, among other measures, and stratified by menopausal status, stage, and histologic subtype. RESULTS Three MIA markers (cancer antigen 125, transferrin, and apolipoprotein A-1) and 2 new biomarkers (follicle-stimulating hormone and human epididymis protein 4) were included in MIA2G. A single cut-off separated high and low risk of malignancy regardless of patient menopausal status, eliminating potential for confusion or error. MIA2G specificity (69%, 277/401 [n/N]; 95% confidence interval [CI], 64.4-73.4%) and PPV (40%, 84/208; 95% CI, 33.9-47.2%) were significantly improved over MIA (specificity, 54%, 215/401; 95% CI, 48.7-58.4%, and PPV, 31%, 85/271; 95% CI, 26.1-37.1%, respectively) in this cohort. Sensitivity and NPV were not significantly different between the 2 tests. When combined with physician assessment, MIA2G correctly identified 75% of the malignancies missed by physician assessment alone. CONCLUSION MIA2G specificity and PPV were significantly improved compared with MIA, while sensitivity and NPV were unchanged. The second-generation test significantly improved the predicted efficiency of triage vs MIA without sacrificing high sensitivity and NPV, which are essential for effectiveness.
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Affiliation(s)
- Robert L Coleman
- Department of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Thomas J Herzog
- Obstetrics and Gynecology, University of Cincinnati Cancer Institute, Cincinnati, OH
| | - Daniel W Chan
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Urology, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, MD
| | | | | | - Alan Smith
- Applied Clinical Intelligence LLC, Bala Cynwyd, PA
| | - Zhen Zhang
- Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD
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Kang JG, Ko JH, Kim YS. Application of cancer-associated glycoforms and glycan-binding probes to an in vitro diagnostic multivariate index assay for precise diagnoses of cancer. Proteomics 2016; 16:3062-3072. [PMID: 27005968 PMCID: PMC5217075 DOI: 10.1002/pmic.201500553] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Revised: 03/09/2016] [Accepted: 03/17/2016] [Indexed: 12/16/2022]
Abstract
Personalized medicine has emerged as a widely accepted trend in medicine for the efficacious and safe treatment of various diseases. It covers every medical treatment tailored according to various properties of individuals. Cancer-associated glycosylation mirrors cancer states more precisely, and this "sweet side of cancer" is thus intended to spur the development of an advanced in vitro diagnostic system. The changes of glyco-codes are often subtle and thus not easy to trace, thereby making it difficult to discriminate changes from various compounding factors. Special glycan-binding probes, often lectins, can be paired with aglycosylated antibodies to enable quantitative and qualitative measurements of glycoforms. With the in vitro diagnosis multivariate index assay (IVDMIA) considered to be capable of yielding patient-specific results, the combinatorial use of multiple glycoproteins may be a good modality to ensure disease-specific, personalized diagnoses.
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Affiliation(s)
- Jeong Gu Kang
- Genome Editing Research Center, KRIBB, Daejeon, Korea
| | - Jeong-Heon Ko
- Genome Editing Research Center, KRIBB, Daejeon, Korea.,Korea University of Science and Technology, Daejeon, Korea
| | - Yong-Sam Kim
- Genome Editing Research Center, KRIBB, Daejeon, Korea.,Korea University of Science and Technology, Daejeon, Korea
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Shen ZY, He AQ, Xia GL, Wu MF, Li J, Ding YS. New sonographic morphology score for the differentiation of malignant from benign ovarian tumors. J Obstet Gynaecol Res 2016; 42:1000-12. [PMID: 27125323 DOI: 10.1111/jog.13009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 02/26/2016] [Indexed: 11/26/2022]
Abstract
AIM The aim of this study was to explore the efficacy of a new sonographic morphology score (SMS) to differentiate malignant from benign ovarian tumors. METHODS Data on 84 ovarian tumors in patients hospitalized in our hospital between 2013 and 2014 were retrospectively analyzed. We established a new sonographic morphology score for ovarian tumors based on volume and structure scores. The efficacy of the new SMS was compared with that of Ueland's index (the old SMS). Receiver-operator curves (ROC) of the two SMS were constructed, and the areas under the curve were calculated and compared. The ROC of the new SMS was also compared with those for the patients' CA-125 and CA-72-4 levels. RESULTS The area under the ROC of the new SMS for ovarian tumors was 0.836, while for the old SMS for ovarian tumors it was 0.709. By Z-test (Z = 2.452, P = 0.0384), there was a significant difference between the new SMS and the old SMS in the diagnosis of ovarian tumors. There was no significant difference in the area under the ROC between the new SMS and CA-125 and CA-72-4 in the diagnosis of ovarian tumors. With a cut-off value of 6, the sensitivity, specificity, positive prognostic value, and negative prognostic value of the new SMS were 0.797, 0.85, 0.944, and 0.567, respectively. CONCLUSION The new SMS may be used to differentiate malignant ovarian carcinomas from benign tumors except in the case of ovarian thecoma.
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Affiliation(s)
- Zhi Yong Shen
- Department of Radiology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China
| | - Ai Qin He
- Department of Gynecology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China
| | - Gan Lin Xia
- Department of Radiology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China
| | - Ming Feng Wu
- Department of Radiology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China
| | - Jun Li
- Department of Radiology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China
| | - Yong Sheng Ding
- Department of Radiology, Nantong University Affiliated Nantong Tumor Hospital, Nantong, China
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Forde GK, Hornberger J, Michalopoulos S, Bristow RE. Cost-effectiveness analysis of a multivariate index assay compared to modified American College of Obstetricians and Gynecologists criteria and CA-125 in the triage of women with adnexal masses. Curr Med Res Opin 2016; 32:321-9. [PMID: 26588255 DOI: 10.1185/03007995.2015.1123679] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVE To evaluate the cost-effectiveness of the multivariate index assay (MIA) for use in triaging women with an adnexal mass relative to modified American College of Obstetricians and Gynecologists (mACOG) referral guidelines and CA-125 testing alone. METHODS The MIA triage algorithm was based on qualitative serum testing of five biomarkers: transthyretin, apolipoprotein, A-1, 2-microglobulin, transferrin, and CA-125. An economic analysis was developed to evaluate the clinical and cost implications of adopting MIA in clinical practice versus the mACOG referral guidelines and CA-125 alone, over a lifetime horizon, from the perspective of the public payer. Clinical parameters used to characterize patients' disease status, quality of life, and treatment decisions were estimated using the results of published studies; costs were approximated using reimbursement rates from CMS fee schedules. Model endpoints included overall survival (OS), costs, quality-adjusted life years (QALYs), and incremental cost-effectiveness ratio (ICER). The cost-effectiveness threshold was set to $50,000 per QALY. One-way sensitivity analysis was performed to assess uncertainty of individual parameters included in the analysis. All costs were reported in 2014 US dollars. RESULTS Use of MIA was cost-effective, resulting in fewer re-operations and pre-treatment CT scans. Overall MIA resulted in an ICER of $35,094/QALY gained. MIA was also cost-saving and QALY-increasing compared to use of CA-125 alone with an ICER of $12,189/QALY gained. One-way sensitivity analysis showed the ICER was most affected by the following parameters: (1) sensitivity of MIA; (2) sensitivity of mACOG; and (3) percentage of patients, not referred to a gynecologic oncologist, who were correctly diagnosed with advanced epithelial ovarian cancer (EOC). CONCLUSION Use of MIA is a more cost-effective triage strategy than mACOG or CA-125. It is expected to increase the percentage of women with ovarian cancer that are referred to gynecologic oncologists, which is shown to improve clinical outcomes. Limitations include the use of assumptions when published data was unavailable, and the use of multiple sources for survival data.
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Affiliation(s)
- G K Forde
- a a Division of Gynecologic Oncology , Department of Obstetrics and Gynecology, University of California, Irvine Medical Center , Orange , CA , USA
| | - J Hornberger
- b b Stanford University School of Medicine , Stanford , CA , USA
- c c Cedar Associates LLC , Menlo Park , CA , USA
| | | | - R E Bristow
- a a Division of Gynecologic Oncology , Department of Obstetrics and Gynecology, University of California, Irvine Medical Center , Orange , CA , USA
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Hudler P, Videtič Paska A, Komel R. Contemporary proteomic strategies for clinical epigenetic research and potential impact for the clinic. Expert Rev Proteomics 2015; 12:197-212. [PMID: 25719543 DOI: 10.1586/14789450.2015.1019479] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Novel proteomic methods are revealing the intricacy of the epigenetic landscape affecting gene regulation and improving our knowledge of the pathogenesis of complex diseases. Despite the enormous amount of data regarding epigenetic modifications present in DNA and histones, deciphering their biological relevance in the context of the disease and health is currently still an ongoing process. Here, we consider the relationship between epigenetic research in tumorigenesis and the prospect of knowledge transfer to clinical use, focusing primarily on the epigenetic histone post-translational modifications, which could be used as biomarkers. We additionally focus on the use of proteomic techniques in research and evaluate their usefulness in clinical setting.
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Affiliation(s)
- Petra Hudler
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, SI-1000 Ljubljana, Slovenia
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