scholarly journals Biomarkers in Ovarian Pathology: From Screening to Diagnosis. Review of the Literature

2021 ◽  
Vol 11 (11) ◽  
pp. 1115
Author(s):  
Miguel Ángel Elorriaga ◽  
José Luis Neyro ◽  
Jon Mieza ◽  
Ignacio Cristóbal ◽  
Antoni Llueca

Background: Ovarian cancer has a low incidence, but high mortality due to a habitual diagnosis in advanced cancer stages. Currently, used biomarkers have good sensitivity, but low specificity. Aim: To determine the usefulness of the biomarkers and algorithms used up to now in the screening, diagnosis, response to treatments and identification of recurrence in patients with ovarian masses. Methodology: Systematic search of publications in English in the Medline-PubMed database with the terms: “biomarkers”, “tumour”, “tumour biomarkers”, “marker”, “tumour marker”, “ovarian cancer”, “ovarian”, “Neoplasms”, “cancer”, CA-125 Antigen; Human Epididymis-specific Protein E4; Risk of Malignancy Index (RMI); Risk of Ovarian Malignancy Algorithm (ROMA); Ovarian Neoplasms. Original articles, clinical trials, reviews, systematic reviews and meta-analyses, published between January 2000 and November 2020, were selected to determine the usefulness (among others) of CA 125 and HE4 antigen in ovarian cancer. Results: Finally, 39 transcendental publications were selected to write this article to determine the usefulness of tumour markers and algorithms in ovarian cancer. Conclusions: The usefulness of the tumour markers antigen CA125 and antigen HE4 individually or as a basis for decision-making algorithms has low specificity; however, there is little evidence that confirms their usefulness as markers in ovarian cancer screening.

Author(s):  
Gregorius Tanamas ◽  
Jasmine Iskandar ◽  
Tofan W Utami ◽  
Tricia D Anggraeni ◽  
Kartiwa H Nuryanto

Objective: To evaluate Risk of Malignancy Index (RMI) as a triage tool for ovarian cancer in Dr. Cipto Mangunkusumo Hospital. Method: This is a retrospective study conducted from January 2008-December 2012 in patients diagnosed with ovarian mass. Patients admitted for surgery due to ovarian masses were included to this study. RMI 3 score was calculated based on ultrasonography examination in Dr. Cipto Mangunkusumo Hospital, CA-125 test and menopausal status. Patients without final pathological report and incomplete data were excluded from study. Data were analysed using SPSS 20 to evaluate RMI result and final pathlogical report in benign and malignant case. Result: From 882 patients identified with ovarian masses from cancer registry, only 99 patients aged 17-70 y.o were included in this study. Most of the patients were nully-parity (28.3%), non-menopausal women (60.6%), normal body mass index (40.4%), and with stage IIIC ovarian cancer (33.3%). Ultrasonography examination showed that most of patients had solid mass and ascites (19.2%). Meanwhile, CA-125 showed that patients with <35 U/ml were 10.1% and ≥ 35 U/ml were 89.9%. Patients with RMI scores <200 (benign cases) were 19 cases (19.2%) and ≥ 200 (malignant cases) were 80 cases (80.8%). Meanwhile, patients with benign final pathological report were 23 cases (23.2%) and malignant cases were 76 cases (76.8%). There was no statistical difference in RMI between benign and malignant cases based on final pathological report. Conclusion: Our study showed that RMI was not accurate as triage tool for ovarian cancer in our hospital. Further investigation and more patients are needed to confirm this study. Keywords: CA-125, menopausal status, ovarian cancer, risk of malignancy index (RMI), ultrasonography.


2015 ◽  
Vol 30 (6) ◽  
pp. 428-434 ◽  
Author(s):  
Khawla Al-Musalhi ◽  
Manal Al-Kindi ◽  
Fatma Ramadhan ◽  
Thuraya Al-Rawahi ◽  
Khalsa Al-Hatali ◽  
...  

Author(s):  
Niroopama Pushpagiri ◽  
Saranya Nagalingam

Background: Preoperative discrimination between benign and malignant ovarian neoplasm is necessary to optimally plan for an appropriate surgical treatment. Women with malignant ovarian tumours should be referred to a gynaecologic oncologist for the quality of cytoreductive surgery leading to increased survival. The aim of this study is to determine the role of Risk of Malignancy Index (RMI) incorporating menopausal status, serum CA 125 levels and ultrasound features in discriminating benign from malignant ovarian neoplasms.Methods: A prospective cohort study was conducted for 2 years among 110 women with ovarian neoplasms referred to Narayana Medical College and Hospital, Nellore a tertiary care centre for diagnosis and management. The sensitivity, specificity, positive and negative predictive values of menopausal status, ultrasound finding of ovarian neoplasms, levels of serum CA-125 separately and combined into the RMI were calculated and compared. (RMI = U X M X Serum CA- 125). Women of all ages admitted with ovarian masses in Narayana Medical College, Nellore. Women whose histopathology report turned out to be non-neoplastic ovarian tumours or other adnexal masses.Results: RMI >250 had a sensitivity of 70.8 % (95%CI 54.4-87.2), a specificity of 87% (95%CI 76.5-97.7), a positive predictive value of 81 % and negative predictive value of 79.4% for the diagnosis of malignant neoplasms.Conclusions: The risk of malignancy index is a simple scoring system and easily applicable and effective method for evaluating a patient in discriminating benign and malignant ovarian neoplasms efficiently to optimize therapy. It facilitates timely referral to gynecological oncology unit for adequate staging and optimal debulking.


2020 ◽  
Vol 11 (5) ◽  
pp. 54-60
Author(s):  
Apurba Mandal ◽  
Shibram Chattopadhyay ◽  
Sushanta Mondal ◽  
Arunava Biswas

Background: Adnexal mass is a common presentation in today’s gynecological practice. The incidence of ovarian cancer is increasing day by day and diagnosis is often difficult to be made pre operatively with inadequate surgical exploration is a regular occurrence. Aims and Objectives: To assess and validate the importance of RMI-3 score as pre-operative diagnostic tool of differentiating benign from malignant adnexal mass for starting first line therapy of ovarian cancer and to find out the incidences of ovarian malignancy among study population. Material and Methods: The study was conducted in the Department of Gynecology and Obstetrics on (n=115) patients attending GOPD and indoor with adnexal mass fulfilling the inclusion and exclusion criteria using purposive sampling technique. All the selected cases underwent ultrasonography and serum CA- 125 level estimation necessary for calculating RMI score. A score of >200 was taken as suggestive of malignancy and confirmatory diagnosis was performed by histopathological examination obtained from staging laparotomy of adnexal mass. The individual scores were then correlated with final outcomes with statistical analyses. Results: The study revealed benign ovarian tumors are more under 50 years (78.46%) and patients with normal BMI are diagnosed with maximum of malignancy (n = 28). History of tubal ligation carried less risk of malignancy (p<0.0001). Histologically malignant tumors found mostly in 71.4% postmenopausal group whereas 94.1% benign pathology were present in perimenopausal group and there is no association found between parity and histopathology (p=0.058). Bilateral (p=0.013), multilocular (p=0.000) tumors with solid areas (p<0.0001) and thick papillary projections (p<0.0001) had statistically significant association with malignant lesions. RMI score (>200) had more efficacy than serum CA-125 level (>46) in differentiating malignant lesions from benign one in terms of specificity (96% vs 83.87%) and positive predictive value (95% vs 79.17%). Conclusions: RMI-3 score is a simple, reliable and effective tool in differentiating benign from malignant adnexal masses thereby help in quick referral and management of cases with increase chances of survival of the patients.


2016 ◽  
Author(s):  
Nidhi Bansal ◽  
A. Suneja ◽  
K. Guleria ◽  
N. B. Vaid ◽  
K. Mishra ◽  
...  

Introduction: HE4 is a novel tumour biomarker used for early diagnosis of ovarian cancer. This study evaluated the diagnostic accuracy of HE4 alone and in combination with CA125, risk of malignancy index (RMI), risk of malignancy algorithm (ROMA). Methods: It was a cross sectional study conducted recruiting 88 women with adnexal masses who were planned for surgery. After baseline work up and ultrasound examination, serum samples were collected for estimation of CA 125 and HE4 levels. Serum HE4 levels were estimated using ELISA kit. RMI and ROMA score were calculated and diagnostic accuracy of HE4, CA 125, RMI, ROMA and their combination were compared. Cut off for HE4 and ROMA score were calculated using ROC curve. Results: Of 88 subjects, 66 were analyzed with 19 malignant (including 5 LMP) and 47 benign cases. The median value of HE4 among malignant cases was found to be significantly higher than among the benign cases. PPV and NPV of HE4 at a cut off 130.8 pMol/ml was 85.7% and 77.9% respectively. Highest PPV (88.9%) with acceptable NPV (80.7%) was found with ROMA followed by HE4 (PPV 85.7%; NPV 77.97%), RMI (PPV 76.92%; NPV 83%) and CA125 (PPV 52%; NPV 80.85%). Conclusion: HE4 levels were lower in Indian population both in malignant and benign tumours as compared to other studies. HE4 is a good discriminator and gives best accuracy when it is combined with CA125 in a logistic algorithm, ROMA.


Sign in / Sign up

Export Citation Format

Share Document