Background: Ultrasonography’s usefulness in endometrial cancer (EC) diagnosis consists in its roles in staging and prediction of metastasis. Ultrasound-measured tumor-free distance from the tumor to the uterine serosa (uTFD) is a promising marker for these diagnostic and prognostic variables. The aim of the study was to determine the usefulness of this biomarker in locoregional staging, and thus in the prediction of lymph node metastasis (LNM). Methods: We conducted a single-institutional, prospective study on 116 consecutive patients with EC who underwent 2D transvaginal ultrasound examination. The uTFD marker was compared with the depth of ultrasound-measured myometrial invasion (uMI). Univariable and multivariable logit models were evaluated to assess the predictive power of the uTFD and uMI in regard to LNM. The reference standard was a final histopathology result. Survival was assessed by the Kaplan–Meier method. Results: LNM was found in 17% of the patients (20/116). In the univariable analysis, uMI and uTFD were significant predictors of LNM. The accuracy was 70.7%, and the NPV was 92.68% (OR 4.746, 95% CI 1.710–13.174) for uMI (p = 0.002), and they were 63.8% and 89.02% (OR 0.842, 95% CI 0.736–0.963), respectively, for uTFD (p = 0.01). The cutoff value for uTFD in the prediction of LNM was 5.2 mm. The association between absence of LNM and biomarker values of uMI < 1/2 and uTFD ≥ 5.2 mm was greater than that between the presence of metastases and uMI > 1/2 and uTFD values <5.2 mm. In the multivariable analysis, the accuracy of the uMI–uTFD model was 74%, and its NPV was 90.24% (p = non-significant). Neither uMI nor uTFD were surrogates for overall and recurrence-free survivals in endometrial cancer. Conclusions: Both uMI and uTFD, either alone or in combination, were valuable tools for gaining additional preoperative information on expected lymph node status. Negative lymph nodes status was better described by ultrasound biomarkers than a positive status. It was easier to use the uTFD rather than the uMI measurement as a biomarker of EC invasion, and the former still maintained a similar predictive value for lymph node metastases to the latter at diagnosis.
Objectives: To assess the significance of pathologic ultrastaging (PU) of sentinel (SLN) and non-sentinel (nSLN) lymph nodes (LNs) and the influence on cancer staging in patients with International Federation of Gynecology and Obstetrics (FIGO) stage IA2-IB1 cervical cancer. Material and methods: A retrospective study was conducted with 54 patients divided into two equal-sized groups. In test group (n1), at least one SLN/patient was detected with blue dye. All excised LNs in this group were subjected to PU (4 µm slices/150 µm intervals) with hematoxylin-eosin staining and immunohistochemistry (AE1-AE3 antibodies). In none of the control group (n2) was PU performed, but in 2 patients SLN concept was performed. Patients in both groups underwent radical hysterectomy and lymphadenectomy. The effect of PU was expressed in puTNM and compared with both standard pTNM and FIGO systems. The influence of PU on patients' disease-free survival (DFS) and overall survival (OS) was assessed using Kaplan-Meier curves. Results: In total, 516 LNs were extracted (66 SLNs, 36% bilaterally). Micrometastases (MIC) or isolated tumor cells (ITC) were detected in 34 of the 482 LNs (7.1%), including 16 MICs and 9 ITC in non-SLNs. False negative rates were: 3.7%/side-specific, and 7.4%/both sides. The use of PU resulted in stage change in 2 cases (N and M status change), FIGO stage did not changed. No PU impact on DFS or OS was observed. Conclusions: The risk of TNM stage migration in early cervical cancer is low, is more likely in inattentively evaluated patients, and has indeterminate prognostic and predictive value. Selection of cases with cT ≤ 2 cm and cN0 is sufficient to avoid the risk of improper staging.
Background: Ultrasonography’s usefulness in endometrial cancer (EC) diagnosis consists of its staging and predictive roles. Ultrasound-measured tumor-free distance from the tumor to the uterine serosa (uTFD) is a promising marker for this variable. The aim of the study was to determine the usefulness of this biomarker in locoregional staging, and thus in the prediction of lymph node metastasis (LNM). Methods: We conducted a single-institutional, prospective study on 116 consecutive patients with EC who underwent 2D transvaginal ultrasound examination. The uTFD marker was compared with the depth of ultrasound-measured myometrial invasion (uMI). Univariate and multivariate logit models were evaluated to assess the predictive power of the uTFD and uMI in regard to LNM. The reference standard was a final histopathology result. Survival was assessed by the Kaplan-Meyer method. Results: LNM was found in 17% of the patients (20/116). In the univariate analysis, uMI and uTFD were significant predictors of LNM. Accuracy was 70.7%, and NPV was 92.68% (OR 4.746, 95% CI 1.710-13.174) for uMI (p = 0.002), and 63.8%, and 89.02% (OR 0.842, 95% CI 0.736 – 0.963), respectively, for uTFD (p = 0.01). The cut-off value for uTFD in the prediction of LNM was 5.2 mm. The absence of LNM was associated more with biomarker values uMI &lt;1/2 and uTFD &gt;=5.2 mm than with the presence of metastases with uMI &gt;1/2 and uTFD values &lt;5.2 mm. In the multivariate analysis, the accuracy of the uMI-uTFD model was 74%, and NPV was 90.24% (p = NS). Neither uMI nor uTFD are surrogates for overall and recurrence-free survivals in endometrial cancer. Conclusions: Both uMI and uTFD, either alone or in combination, are valuable tools for gaining additional preoperative information on expected lymph node status. Negative lymph nodes status is better described by ultrasound biomarkers than a positive status. It is easier to use uTFD measurement as a biomarker of EC invasion than uMI, and the former still maintains a similar predictive value for lymph node metastases to the latter at diagnosis.
Cervical uterine cancer is the second most frequent female cancer worldwide and a substantial burden for low-income societies and the patients themselves. Understanding the molecular mechanisms of metastasis permits the development of therapies that limit tumor progression, as well as providing health and social benefits. Pathomorphology is still the basis of research and a reference standard for molecular analysis. The aim of our study was to research and critically evaluate clinical trials that use new oncological approaches for node-positive cervical cancer to gain an insight into the molecular mechanisms of tumor metastasis. Inclusion criteria: node-positive disease at baseline; at least a first phase clinical study comprising adult female patients; novel clinical approach (e.g., radiotherapy, immunotherapy, targeted therapy, vaccines, radiosurgery); histologic measurement of treatment efficacy (preferably lymph node ultrastaging); and publications in English language only. Information sources: US Clinical trials registry, EU Clinical trials register, ISRCTN registry, and Ovid, EBSCO and Cochrane Collaboration databases. Access dates: from January 2010 to April 2018. Exclusions: Abstracts that did not meet the inclusion criteria or with unreliable data. We collected complete data (e.g., the entire publication associated with included abstracts, heterogeneity examination of individual studies, and validity measurement of the statistical methods used). Results were analyzed in relation to the most recent understanding of the pathogenesis of cervical cancer metastasis. We proposed a possible direction for drug treatment of epithelial tumors based on the mechanisms of metastasis.
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