Valeria Z. Racheva, A. Ruseva, S. Mateva, I. Malkodanski
{"title":"The Role of Three Plasma Proteins in the Diagnosis of Ovarian Tumors","authors":"Valeria Z. Racheva, A. Ruseva, S. Mateva, I. Malkodanski","doi":"10.2478/jbcr-2022-0005","DOIUrl":null,"url":null,"abstract":"Summary Ovarian cancer is not common, but it is still the fifth leading cause of death from malignant diseases among women worldwide. More than 200,000 women are diagnosed with ovarian cancer each year globally. Due to its asymptomatic course, most patients are diagnosed at a late stage. Therefore, ovarian cancer (OC) has the highest mortality among gynecological malignancies. Unfortunately, there is no adequate screening program for the early detection of ovarian cancer, and as a result, this diagnosis escapes clinicians. The protocol for early diagnosis of OC is currently a combination of elevated cancer antigen 125 (CA 125) and transvaginal ultrasonography (TVUS). However, it does not meet the necessary cost-effectiveness criteria and is therefore not recommended by any working group to screen ovarian cancer in the general population. The biomarkers with the highest informative value should be selected individually or combined in multi-biomarker panels from the many biomarkers strongly associated with OC. Numerous such panels of biomarkers and algorithms have been developed for the early diagnosis and differentiation of OC from other benign ovarian diseases. These panels or biomarkers need to be sufficiently reliable and show measurable changes in non-invasive samples obtained from patients with early-stage OC. Their reliability would significantly reduce mortality from this aggressive disease and improve the patient’s prognosis.","PeriodicalId":15099,"journal":{"name":"Journal of Biomedical and Clinical Research","volume":"473 1","pages":"41 - 46"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Biomedical and Clinical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2478/jbcr-2022-0005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Summary Ovarian cancer is not common, but it is still the fifth leading cause of death from malignant diseases among women worldwide. More than 200,000 women are diagnosed with ovarian cancer each year globally. Due to its asymptomatic course, most patients are diagnosed at a late stage. Therefore, ovarian cancer (OC) has the highest mortality among gynecological malignancies. Unfortunately, there is no adequate screening program for the early detection of ovarian cancer, and as a result, this diagnosis escapes clinicians. The protocol for early diagnosis of OC is currently a combination of elevated cancer antigen 125 (CA 125) and transvaginal ultrasonography (TVUS). However, it does not meet the necessary cost-effectiveness criteria and is therefore not recommended by any working group to screen ovarian cancer in the general population. The biomarkers with the highest informative value should be selected individually or combined in multi-biomarker panels from the many biomarkers strongly associated with OC. Numerous such panels of biomarkers and algorithms have been developed for the early diagnosis and differentiation of OC from other benign ovarian diseases. These panels or biomarkers need to be sufficiently reliable and show measurable changes in non-invasive samples obtained from patients with early-stage OC. Their reliability would significantly reduce mortality from this aggressive disease and improve the patient’s prognosis.
卵巢癌并不常见,但它仍然是全世界妇女恶性疾病死亡的第五大原因。全球每年有超过20万女性被诊断患有卵巢癌。由于病程无症状,大多数患者在晚期才被诊断出来。因此,卵巢癌(OC)是妇科恶性肿瘤中死亡率最高的。不幸的是,没有足够的筛查程序来早期发现卵巢癌,因此,这种诊断逃过了临床医生。早期诊断卵巢癌的方案目前是结合升高的癌抗原125 (CA 125)和经阴道超声检查(TVUS)。然而,它不符合必要的成本效益标准,因此不被任何工作组推荐用于筛查普通人群中的卵巢癌。具有最高信息价值的生物标志物应该单独选择,或者从与OC密切相关的许多生物标志物中组合成多个生物标志物。许多这样的生物标志物和算法已经被开发出来,用于卵巢癌和其他良性卵巢疾病的早期诊断和区分。这些面板或生物标志物需要足够可靠,并且在从早期OC患者获得的非侵入性样本中显示可测量的变化。它们的可靠性将显著降低这种侵袭性疾病的死亡率并改善患者的预后。