scholarly journals Principles of diagnosis of ovarian neoplasms — minimization of errors

2019 ◽  
Vol 68 (4) ◽  
pp. 71-82
Author(s):  
Anna E. Protasova ◽  
Anna A. Tsypurdeyeva ◽  
Natalia D. Tsypurdeyeva ◽  
Irina A. Solntseva

Ovarian cancer mortality rates hold a leading position among women’s cancer, which is primarily associated with the pathogenetic features of ovarian cancer, the heterogeneity of the disease, the lack of effective screening and diagnostic methods for early cancer detection. The causes of most ovarian tumors remain unknown. Ovarian benign tumors and tumor-like formations are not among the risk factors of ovarian cancer. The purpose of this literature review is to highlight the latest data from world expert organizations on the possibilities of ovarian neoplasm diagnosis and treatment.

2005 ◽  
Vol 14 (6) ◽  
pp. 503-511 ◽  
Author(s):  
Michael Patrick Lux ◽  
Sven Ackermann ◽  
Mayada R. Bani ◽  
Caroline Nestle-Krämling ◽  
Timm O. Goecke ◽  
...  

1998 ◽  
Vol 34 ◽  
pp. S16-S17
Author(s):  
M.W. Beckmann ◽  
D. Niederacher ◽  
J.Y. Cho ◽  
H.X. An ◽  
B. Kuschel ◽  
...  

Author(s):  
C Mohr ◽  
S Buchholz ◽  
E Dausch ◽  
D Günther ◽  
O Ortmann ◽  
...  

Author(s):  
Manjusha Jindal ◽  
Dweep Jindal ◽  
Mrinalini Sahasrabhojane ◽  
Viraj Naik

Background: Ovarian neoplasms are a distinct entity in women health care and are increasingly contributing to morbidity and mortality among women. The burden is not only related to the increasing incidence but also to the varied pathological features depending on the tissue of origin and pathogenesis. The study was carried out to find the prevalence and determine the clinical presentation and histo-pathological distribution of ovarian neoplasms. Management options were also noted.Methods: It is a retrospective study carried out at Goa Medical College between January 2013 to December 2015. All patients diagnosed and treated for ovarian neoplasm were included in the study. Data was tabulated using Microsoft Excel and descriptive statistical analysis was carried out using SPSS version 23.Results: A total of 3111 patients were admitted in gynecology at Goa Medical College during the specified time period. Of these 358 cases were diagnosed with ovarian neoplasm. On histopathology 196 were benign tumors and 162 were reported to be malignant. Commonest presenting symptom was abdominal distention seen in 51.1% of the patients, pain in 44.4%, followed by dyspepsia in 26.85%. Epithelial tumors were most common (Benign - 39.3%, Malignant - 41%) followed by sex cord stromal tumors and germ cell tumors in 7.26% of cases.Conclusions: Surface epithelial tumors were most common neoplasm. An alarming high no. of malignant tumors (45.25%) was found in present study. 44.4% tumors presented in 41-50 years age group. Presenting complaints were vague and nonspecific leading to delay in diagnosis. Histological type correlates with prognosis; therefore, preponderance of histological type will guide treatment options and patient education with respect to epidemiology.


Diagnostics ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 2171
Author(s):  
Oscar D. Pons-Belda ◽  
Amaia Fernandez-Uriarte ◽  
Eleftherios P. Diamandis

Circulating tumor DNA (ctDNA) is a new pan-cancer tumor marker with important applications for patient prognosis, monitoring progression, and assessing the success of the therapeutic response. Another important goal is an early cancer diagnosis. There is currently a debate if ctDNA can be used for early cancer detection due to the small tumor burden and low mutant allele fraction (MAF). We compare our previous calculations on the size of detectable cancers by ctDNA analysis with the latest experimental data from Grail’s clinical trial. Current ctDNA-based diagnostic methods could predictably detect tumors of sizes greater than 10–15 mm in diameter. When tumors are of this size or smaller, their MAF is about 0.01% (one tumor DNA molecule admixed with 10,000 normal DNA molecules). The use of 10 mL of blood (4 mL of plasma) will likely contain less than a complete cancer genome, thus rendering the diagnosis of cancer impossible. Grail’s new data confirm the low sensitivity for early cancer detection (<30% for Stage I–II tumors, <20% for Stage I tumors), but specificity was high at 99.5%. According to these latest data, the sensitivity of the Grail test is less than 20% in Stage I disease, casting doubt if this test could become a viable pan-cancer clinical screening tool.


2018 ◽  
Vol 46 (7) ◽  
pp. 690-698 ◽  
Author(s):  
E. S. Gershtein ◽  
D. O. Utkin ◽  
I. O. Goryacheva ◽  
M. M. Khulamkhanova ◽  
N. A. Petrikova ◽  
...  

Background:Ovarian cancer is one of the most common oncologic diseases holding the frst place in mortality related to neoplasms of female genitalia. Along with active surgical intervention, contemporary ovarian cancer treatment includes various chemotherapeutic regimens which in many cases are quite effective, but relapse and death rates still remain high. In the recent years, major attention has been paid to the possibility of ovarian cancer immunotherapy associated with the discovery of the so-called “immune checkpoint” signaling, i.e. programmed cell death-1 / programmed death-ligand 1 (PD-1/PD-L) pathway, controlling intensity and duration of autoimmune response at physiologic conditions. Tumor PD-1 and/or PD-L1 expression is being actively studied as a predictor of anti-PD-1/PD-L treatment efficacy; however, this approach has certain limitations and problems that might be probably bypassed by determination of soluble PD-1 (sPD-1) and its ligand (sPD-L1) in serum or plasma.Aim:Comparative evaluation of sPD-1 and sPD-L1 content in plasma of healthy women and of patients with benign or borderline ovarian tumors and ovarian cancer, as well as the analysis of associations between these markers and main clinical and pathologic characteristics of ovarian cancer.Materials and methods:Sixty two (62) patients with ovarian neoplasms aged 32 to 77 (median, 56.5) years were enrolled into the study. Fifteen (15) patients had benign tumors, 9 had borderline, and 38, ovarian cancer. The control group included 17 healthy women aged 24 to 67 (median, 49) years. Plasma sPD-L1 and sPD-1 concentrations were measured with standard enzyme immunoassay kits (Afmetrix, eBioscience, USA).Results:Plasma sPD-L1 and sPD-1 levels in ovarian cancer patients (median, 41.3 and 48.0 pg/ml, respectively) did not differ significantly from those in the control group (49.5 and 43.8 pg/ml). sPD-L1 level in the patients with benign tumors (median, 22.2 pg/ml) was signifcantly lower than in the control (p < 0.01). The lowest sPD-1 level in plasma was found in the patients with borderline ovarian neoplasms, the difference with the ovarian cancer group being statistically signifcant (p < 0.05). No correlations between sPD-L1 and sPD-1 plasma levels were found in any of the study groups. sPD-L1 level signifcantly increased with disease stage (R = 0.44; p < 0.01), the most signifcant increase being observed at the most advanced IIIC stage (p < 0.05 as compared to all other stages). sPD-L1 was also signifcantly higher in the patients with ascites than in those without ascites. Plasma sPD-1 concentration was not associated with the indices of ovarian cancer progression, though its median was 1.3–1.44 times lower in the stage I than in the stage II–III patients, and decreased in those with the tumor size above 10 cm (assessed by ultrasound examination) and in the patients with ascites. No statistically signifcant associations of the markers' levels with tumor histological type and differentiation grade of ovarian cancer were found.Conclusion:sPD-L1 level in ovarian cancer patients correlates with disease progression and can be considered as a promising marker for monitoring of anti-PD-1/PD-L1 treatment efficacy. Potential clinical implications of sPD-1 require further studies.


2005 ◽  
Vol 14 (4) ◽  
pp. 399-411 ◽  
Author(s):  
M P Lux ◽  
S Ackermann ◽  
C Nestle-Krämling ◽  
T O Goecke ◽  
D Niederacher ◽  
...  

Author(s):  
Diana Žilovič ◽  
Rūta Čiurlienė ◽  
Ieva Vaicekauskaitė ◽  
Rasa Sabaliauskaitė ◽  
Sonata Jarmalaitė

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