Nodal infiltration in endometrial cancer: a prediction model using best subset regression

OBJECTIVES

To build preoperative prediction models with and without MRI for regional lymph node metastasis (r-LNM, pelvic and/or para-aortic LNM (PENM/PANM)) and for PANM in endometrial cancer using established risk factors.

METHODS

In this retrospective two-center study, 364 patients with endometrial cancer were included: 253 in the model development and 111 in the external validation. For r-LNM and PANM, respectively, best subset regression with ten-time fivefold cross validation was conducted using ten established risk factors (4 clinical and 6 imaging factors). Models with the top 10 percentile of area under the curve (AUC) and with the fewest variables in the model development were subjected to the external validation (11 and 4 candidates, respectively, for r-LNM and PANM). Then, the models with the highest AUC were selected as the final models. Models without MRI findings were developed similarly, assuming the cases where MRI was not available.

RESULTS

The final r-LNM model consisted of pelvic lymph node (PEN) ≥ 6 mm, deep myometrial invasion (DMI) on MRI, CA125, para-aortic lymph node (PAN) ≥ 6 mm, and biopsy; PANM model consisted of DMI, PAN, PEN, and CA125 (in order of correlation coefficient β values). The AUCs were 0.85 (95%CI: 0.77-0.92) and 0.86 (0.75-0.94) for the external validation, respectively. The model without MRI for r-LNM and PANM showed AUC of 0.79 (0.68-0.89) and 0.87 (0.76-0.96), respectively.

CONCLUSIONS

The prediction models created by best subset regression with cross validation showed high diagnostic performance for predicting LNM in endometrial cancer, which may avoid unnecessary lymphadenectomies.

CLINICAL RELEVANCE STATEMENT

The prediction risks of lymph node metastasis (LNM) and para-aortic LNM can be easily obtained for all patients with endometrial cancer by inputting the conventional clinical information into our models. They help in the decision-making for optimal lymphadenectomy and personalized treatment.

KEY POINTS

•Diagnostic performance of lymph node metastases (LNM) in endometrial cancer is low based on size criteria and can be improved by combining with other clinical information. •The optimized logistic regression model for regional LNM consists of lymph node ≥ 6 mm, deep myometrial invasion, cancer antigen-125, and biopsy, showing high diagnostic performance. •Our model predicts the preoperative risk of LNM, which may avoid unnecessary lymphadenectomies.

Contrast-Enhanced MRI in Women with Endometrial Cancer: Dynamic Versus Single-Phase Acquisitions

Background

The 2019 European Society of Urogenital Radiology (ESUR) guidelines for endometrial cancer recommend performing either dynamic contrast-enhanced magnetic resonance imaging (CE MRI) or single-phase CE MRI. However, no study has directly compared these options. Therefore, this study compared dynamic versus single-phase CE MRI for the evaluation of myometrial invasion in women with endometrial cancer.

Methods

This retrospective, single-institution comparative study was conducted among women with surgically proven endometrial cancer, including 30 consecutive women with single-phase CE MRI and 30 age- and pathologic stage-matched women with dynamic CE MRI. Three readers independently compared dynamic and single-phase CE MRI in terms of the tumor-myometrium signal intensity (SI) difference ratio, depth of myometrial invasion, image quality, and image number. Pathologic findings served as a reference standard for the depth of myometrial invasion.

Results

The estimated mean SI difference ratios of dynamic CE MRI and single-phase CE MRI fell within an equivalence margin of 0.05 (90% confidence intervals [CIs] = [-0.0497 to -0.0165], [-0.0226 to -0.0403], and [-0.0429 to -0.0433], respectively, for readers A, B, and C). The area under the receiver operating characteristic curve for the detection of deep myometrial invasion was not significantly different between the acquisitions (P = .3315, P = .3345, and P = .8593, respectively). Single-phase CE MRI showed significantly better image quality than dynamic CE MRI (P = .0143, P = .0042, and P = .0066, respectively), while the median number of images for dynamic CE MRI was 2.4 times higher than that for single-phase CE MRI.

Conclusion

Single-phase acquisition may be a better option for CE MRI in women with endometrial cancer than dynamic acquisition.

Predictive model for the preoperative assessment and prognostic modeling of lymph node metastasis in endometrial cancer

Lymph node metastasis (LNM) is a well-established prognostic factor in endometrial cancer (EC). We aimed to construct a model that predicts LNM and prognosis using preoperative factors such as myometrial invasion (MI), enlarged lymph nodes (LNs), histological grade determined by endometrial biopsy, and serum cancer antigen 125 (CA125) level using two independent cohorts consisting of 254 EC patients. The area under the receiver operating characteristic curve (AUC) of the constructed model was 0.80 regardless of the machine learning techniques. Enlarged LNs and higher serum CA125 levels were more significant in patients with low-grade EC (LGEC) and LNM than in patients without LNM, whereas deep MI and higher CA125 levels were more significant in patients with high-grade EC (HGEC) and LNM than in patients without LNM. The predictive performance of LNM in the HGEC group was higher than that in the LGEC group (AUC = 0.84 and 0.75, respectively). Patients in the group without postoperative pathological LNM and positive LNM prediction had significantly worse relapse-free and overall survival than patients with negative LNM prediction (log-rank test, P < 0.01). This study showed that preoperative clinicopathological factors can predict LNM with high precision and detect patients with poor prognoses. Furthermore, clinicopathological factors associated with LNM were different between HGEC and LGEC patients.

PET/MR imaging in gynecologic cancer: tips for differentiating normal gynecologic anatomy and benign pathology versus cancer

Positron emission tomography/magnetic resonance imaging (PET/MR) is used in the pre-treatment and surveillance settings to evaluate women with gynecologic malignancies, including uterine, cervical, vaginal and vulvar cancers. PET/MR combines the excellent spatial and contrast resolution of MR imaging for gynecologic tissues, with the functional metabolic information of PET, to aid in a more accurate assessment of local disease extent and distant metastatic disease. In this review, the optimal protocol and utility of whole-body PET/MR imaging in patients with gynecologic malignancies will be discussed, with an emphasis on the advantages of PET/MR over PET/CT and how to differentiate normal or benign gynecologic tissues from cancer in the pelvis.

Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas

BACKGROUND

We investigated the agreement and accuracy of preoperative magnetic resonance imaging (MRI) with postoperative pathological characteristics and stages of endometrial endometrioid carcinoma (EEC).

METHODS

We recruited 527 women with EEC who underwent staging surgery at a single medical institution. The preoperative MRI, stages, and clinical and pathological parameters, including myometrial invasion (MI), cervical invasion (CI), adnexal metastasis (AM), intra-abdominal metastasis, and pelvic and/or para-aortic nodal metastasis, were recorded and analyzed. The agreement and accuracy between the preoperative MRI findings and these parameters and stages were assessed.

RESULTS

The rate of the preoperative MRI-based clinical stage matching the postoperative surgical stage was 85.2% in International Federation of Gynecology and Obstetrics stage IA, 51.9% in stage IB, 35.5% in stage II, 5.3% in stage IIIA, 33.3% in stage IIIB, 28.6% in stage IIIC1, 64.3% in stage IIIC2, and 93.8% in stage IVB. The consistency between radiologists and pathologists was 80.5% for deep MI, 91.5% for cervical invasion, 92.2% for adnexal metastasis, 98.9% for intra-abdominal metastasis, and 87.5% and 92.2% for pelvic and para-aortic nodal metastases, respectively. The negative predictive value of intra-abdominal metastasis was the highest with 99.8%.

CONCLUSIONS

Preoperative MRI could be an excellent tool for routine preoperative assessment to predict pathological parameters and stages of EEC, especially in excluding intra-abdominal metastatic disease.

Magnetic Fields and Cancer: Epidemiology, Cellular Biology, and Theranostics

Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at many different frequencies, at home and at work. Epidemiological studies indicate that there is a positive relationship between residential/domestic and occupational exposure to extremely low frequency electromagnetic fields and some types of cancer, although some other studies indicate no relationship. In this review, after an introduction on the MF definition and a description of natural/anthropogenic sources, the epidemiology of residential/domestic and occupational exposure to MFs and cancer is reviewed, with reference to leukemia, brain, and breast cancer. The in vivo and in vitro effects of MFs on cancer are reviewed considering both human and animal cells, with particular reference to the involvement of reactive oxygen species (ROS). MF application on cancer diagnostic and therapy (theranostic) are also reviewed by describing the use of different magnetic resonance imaging (MRI) applications for the detection of several cancers. Finally, the use of magnetic nanoparticles is described in terms of treatment of cancer by nanomedical applications for the precise delivery of anticancer drugs, nanosurgery by magnetomechanic methods, and selective killing of cancer cells by magnetic hyperthermia. The supplementary tables provide quantitative data and methodologies in epidemiological and cell biology studies. Although scientists do not generally agree that there is a cause-effect relationship between exposure to MF and cancer, MFs might not be the direct cause of cancer but may contribute to produce ROS and generate oxidative stress, which could trigger or enhance the expression of oncogenes.

Patterns of Myometrial Invasion in Endometrial Adenocarcinoma with Emphasizing on Microcystic, Elongated and Fragmented (MELF) Glands Pattern: A Narrative Review of the Literature

Endometrioid endometrial adenocarcinoma (EEC) is the most common malignancy of the female genital tract. According to the 2009 FIGO staging system, the depth of myometrial invasion (MI), and tumor spread to adjacent organs or tissues are the staging criteria for endometrial carcinoma (EC). Therefore, assessment of the depth of MI is of great importance. There is a spectrum of morphological patterns of MI. Still, their number and features vary according to the scientific literature, with a certain overlap that creates difficulties and controversies in the precise assessment of MI depth. The purpose of this review is to present and discuss the most important and recent information about patterns of MI, focusing on the more aggressive and the elongated and fragmented glands (MELF) pattern in particular. Assessment of MI depth and correct staging of EC is possible only after the precise recognition of each MI pattern.

Diagnostic Accuracy of Clinical Biomarkers for Preoperative Prediction of Lymph Node Metastasis in Endometrial Carcinoma: A Systematic Review and Meta-Analysis

BACKGROUND

In endometrial carcinoma (EC), preoperative classification is based on histopathological criteria, with only moderate diagnostic performance for the risk of lymph node metastasis (LNM). So far, existing molecular classification systems have not been evaluated for prediction of LNM. Optimized use of clinical biomarkers as recommended by international guidelines might be a first step to improve tailored treatment, awaiting future molecular biomarkers.

AIM

To determine the diagnostic accuracy of preoperative clinical biomarkers for the prediction of LNM in endometrial cancer.

METHODS

A systematic review was performed according to the Meta-analysis of Observational Studies in Epidemiology (MOOSE) guidelines. Studies identified in MEDLINE and EMBASE were selected by two independent reviewers. Included biomarkers were based on recommended guidelines (cancer antigen 125 [Ca-125], lymphadenopathy on magnetic resonance imaging, computed tomography, and ¹⁸F-fluorodeoxyglucose positron emission tomography/computed tomography [¹⁸FDG PET-CT]) or obtained by physical examination (body mass index, cervical cytology, blood cell counts). Pooled sensitivity, specificity, area under the curve (AUC), and likelihood ratios were calculated with bivariate random-effects meta-analysis. Likelihood ratios were classified into small (0.5-1.0 or 1-2.0), moderate (0.2-0.5 or 2.0-5.0) or large (0.1-0.2 or ≥ 5.0) impact.

RESULTS

Eighty-three studies, comprising 18,205 patients, were included. Elevated Ca-125 and thrombocytosis were associated with a moderate increase in risk of LNM; lymphadenopathy on imaging with a large increase. Normal Ca-125, cytology, and no lymphadenopathy on ¹⁸FDG PET-CT were associated with a moderate decrease. AUCs were above 0.75 for these biomarkers. Other biomarkers had an AUC <0.75 and incurred only small impact.

CONCLUSION

Ca-125, thrombocytosis, and imaging had a large and moderate impact on risk of LNM and could improve preoperative risk stratification.

IMPLICATIONS FOR PRACTICE

Routine lymphadenectomy in clinical early-stage endometrial carcinoma does not improve outcome and is associated with 15%-20% surgery-related morbidity, underlining the need for improved preoperative risk stratification. New molecular classification systems are emerging but have not yet been evaluated for the prediction of lymph node metastasis. This article provides a robust overview of diagnostic performance of all clinical biomarkers recommended by international guidelines. Based on these, at least measurement of cancer antigen 125 serum level, assessment of thrombocytosis, and imaging focused on lymphadenopathy should complement current preoperative risk stratification in order to better stratify these patients by risk.

Using simple radiologic measurements to anticipate surgical challenge in endometrial cancer: a prospective study

Objectives

To determine if linear measurements of adiposity from pre-operative imaging can improve anticipation of surgical difficulty among endometrial cancer patients.

Methods

Eighty patients with newly diagnosed endometrial cancer were enrolled. Routine pre-operative imaging (MRI or CT) was performed. Radiologic linear measurements of the following were obtained: anterior-to-posterior skin distance; anterior skin to anterior edge of L5 distance (total anterior); anterior peritoneum to anterior edge of L5 distance (visceral obesity); and posterior edge of L5 to posterior skin distance (total posterior). Surgeons completed questionnaires quantifying preoperative anticipated operative difficulty and postoperative reported operative difficulty. The primary objective was to assess for a correlation between linear measurements of visceral fat and reported operative difficulty.

Results

Seventy-nine patients had questionnaires completed, preoperative imaging obtained, and surgery performed. Univariate analysis showed all four linear measurements, body mass index, weight, and anticipated operative difficulty were associated with increased reported operative difficulty (P< 0.05). Multivariate analysis demonstrated that body mass index and linear measurements visceral obesity and total posterior were independently associated with increased reported operative difficulty (P< 0.05). Compared with body mass index, the visceral obesity measurement was more sensitive and specific for predicting increased reported operative difficulty (visceral obesity; sensitivity 54%, specificity 91 %; body mass index; sensitivity 38%, specificity 89%). A difficulty risk model combining body mass index, visceral obesity, and total posterior demonstrated better predictive performance than any individual preoperative variable.

Conclusions

Simple linear measurements of visceral fat obtained from preoperative imaging are more predictive than body mass index alone in anticipating surgeon-reported operative difficulty. These easily obtained measurements may assist in preoperative decision making in this challenging patient population.

Pro-Gastrin Releasing Peptide: A New Serum Marker for Endometrioid Adenocarcinoma

BACKGROUND

Gastrin-releasing peptide (GRP) is thought to play a role in the metastatic process of various malignancies. The more stable precursor of GRP, pro-GRP (ProGRP), has been shown to be secreted by neuroendocrine tumors. This study was designed to assess the validity of ProGRP as a diagnostic marker in endometrioid adenocarcinomas (EAs) of the endometrium.

METHODS

Thirty-seven patients with a diagnosis of EA, 23 patients with endometrial hyperplasia, and 32 age-matched controls with normal endometrial histology were recruited for this study. Serum ProGRP and cancer antigen 125 (CA125) values were compared between groups.

RESULTS

Median serum ProGRP levels were significantly higher in the cancer group compared to corresponding levels in both the hyperplasia and control groups (p = 0.008 and p < 0.001 respectively; endometrial cancer: 27.5 pg/mL; hyperplasia: 16.1 pg/mL; controls: 12.9 pg/mL). Age and endometrial thickness were positively correlated with ProGRP levels (r = 0.322, p = 0.006 and r = 0.269, p = 0.023, respectively). Receiver Operating Characteristic curve analyses for EA revealed a threshold of 20.81 pg/mL, with a sensitivity of 60.7% and specificity of 81.4%, positive predictive value of 68% and negative predictive value of 76.1%.

CONCLUSION

Significantly higher ProGRP levels were observed in patients with EA than in controls. Serum ProGRP has good diagnostic sensitivity and specificity for EA.

Human epididymis protein 4 in endometrial cancer: A meta-analysis

BACKGROUND

Serum human epididymis protein 4 (HE4) is a potential marker for endometrial cancer (EC), however, the diagnostic value of HE4 for EC remains controversial. In this study, we performed a meta-analysis to estimate the diagnostic accuracy of serum HE4 for EC.

METHODS

Literature reports of the diagnostic accuracy of serum HE4 for EC were systematically identified using online data-bases. The meta-analysis was performed using STATA 12.0, Meta-Disc 1.4, and Review Manager 5.2.

RESULTS

A total of 4182 participants and 23 studies were included in our meta-analysis. The pooled sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were 0.65 (95% CI: 0.56-0.73), 0.91 (95% CI: 0.84-0.95), (95% CI: 4.38-12.64), 0.38 (95% CI: 0.31-0.47), 19.46 (95% CI: 11.61-32.62) and 0.84 (95% CI: 0.81 to 0.87), respectively. Our overall analysis suggested that HE4 is a useful diagnostic marker for EC. Subgroup analysis indicated that studies with benign disease controls showed higher diagnostic accuracies than those with healthy controls.

CONCLUSION

Serum HE4 may serve as a potential biomarker for EC diagnosis. Due to certain limitations, this conclusion should to be cautiously interpreted.

Preoperative serum levels of YKL 40 and CA125 as a prognostic indicators in patients with endometrial cancer

OBJECTIVE

To evaluate the utility of YKL-40 and CA125 in endometrial cancer (EC) patients, and to determine their prognostic value in assessing the disease-free survival (DFS) and overall survival (OS).

METHODS

We analyzed seventy-four EC patients, treated at a single institution and 25 healthy individuals. CA 125 serum level was evaluated in the Cobas 6000 system and YKL-40, using the ELISA method.

RESULTS

Significantly increased serum level of YKL-40 and CA125 was in EC patients in FIGO I-IB when compared to healthy controls. CA125 was significantly higher in patients with more advanced FIGO stage vs. FIGO I, and also in patients with lymph node metastases vs. patients with no metastases. The obtained AUC for YKL-40 was higher than for CA125. There was, however, higher diagnostic sensitivity for YKL-40 in comparison to CA125, both in patients with type I and type II tumours. In patients who had disease progression, both the percentage of elevated concentration of CA 125 and YKL-40 was higher than in patients with remission. The Chi2 test demonstrated the statistically significant differences. The predictive value of CA125 in an aspect of DFS and OS was demonstrated.

CONCLUSIONS

A high diagnostic sensitivity of YKL-40 in the early stages of the disease suggests the possibility of using this biomarker at an early diagnostic phase of patients with EC. The patients with increased levels of YKL-40 before treatment are also at the higher risk of relapse. The determination of CA125 before surgery may be helpful in the evaluation of the regional lymph nodes, and is a poor prognostic factor for OS and DFS.

Preoperative measurement of serum CA-125 levels: is it useful in the risk assessment of low volume lymph node disease in cervical cancer?

BACKGROUND: Elevated serum cancer antigen 125 (CA-125) is observed in some cervical cancers (CCs). Is the correlation of CA-125 with the presence of nodal events useful in predicting early metastasis to the lymph nodes?

METHODS: The study included 45 patients with CC FIGO (2009) stages IA1-IIA1 and known preoperative CA-125 concentration, surgery treated (05.2011-05.2014). Investigated pretreatment: age (pre-, postmenopausal), histological type, grade, confounding factors - prior cone biopsy, ovarian cyst, endometriosis, liver or colon pathology, concomitant malignancy. LN metastases (LNM) were defined as macro (MAC, >2mm) and/or micrometastases (mic, 0.2 - 2 mm), and LVLND as mic or/and ITC (single CC cells clusters) in LNs. Ultrastaging of all LNs (sentinel and non-sentinel, 4 μm thick slices/150 μm intervals) was performed with hematoxylin and eosin staining and with immunohistochemistry (IHC - AE1/AE3 cytokeratin antibodies). Non-parametrical analysis and receiver operating curve analysis were used to determine correlation between CA-125 and LNM including LVLND.

RESULTS: The median age was 55 (23-71). 806 LNs were extracted. LNM was found in 12, LVLND in 6 patients. LNM but not LVLND was correlated with higher grade (G2-G3, p<0.05). LVLND was positively correlated with premenopausal age (p<0.05) but not with tumor histology or grade. Liver disease only was found to influence CA-125 levels (p=0.064). There were no differences within CA-125 concentration among LVLND, LNM, and node-negative patients groups, however a trend was found between higher CA-125 and lower LVLND risk.

CONCLUSIONS: Elevated levels of CA-125 may be less likely due to LVLND than to LN positivity. Grade is an important feature in prediction of LNM but not LVLND. CA-125 level was found to be not predictive of LNM nor LVLND, as confirmed by ultrastaging.