Correction: Improving response to progestin treatment of low-grade endometrial cancer

2021 ◽  
Vol 31 (10) ◽  
pp. 1401-1401
Keyword(s):  
Endometrial Cancer ◽  
Low Grade ◽  
Progestin Treatment

scholarly journals Improving response to progestin treatment of low-grade endometrial cancer

2020 ◽  
Vol 30 (11) ◽  
pp. 1811-1823 ◽  
Author(s):  
Eva Baxter ◽  
Donal J Brennan ◽  
Jessica N McAlpine ◽  
Jennifer J Mueller ◽  
Frédéric Amant ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Molecular Markers ◽  
Predictive Biomarkers ◽  
Response Rates ◽  
Low Risk ◽  
Cochrane Library ◽  
Future Research ◽  
Low Grade ◽  
Progestin Treatment ◽  
Pre Treatment

ObjectivesThis review examines how response rates to progestin treatment of low-grade endometrial cancer can be improved. In addition to providing a brief overview of the pathogenesis of low-grade endometrial cancer, we discuss limitations in the current classification of endometrial cancer and how stratification may be refined using molecular markers to reproducibly identify ‘low-risk’ cancers which may represent the best candidates for progestin therapy. We also discuss constraints in current approaches to progestin treatment of low-grade endometrial cancer and perform a systematic review of predictive biomarkers.MethodsPubMed, ClinicalTrials.gov, and Cochrane Library were searched for studies reporting pre-treatment biomarkers associated with outcome in women with low-grade endometrial cancer or endometrial hyperplasia with an intact uterus who received progestin treatment. Studies of fewer than 50 women were excluded. The study protocol was registered in PROSPERO (ID 152374). A descriptive synthesis of pre-treatment predictive biomarkers reported in the included studies was conducted.ResultsOf 1908 records reviewed, 19 studies were included. Clinical features such as age or body mass index cannot predict progestin response. Lesions defined as ‘low-risk’ by FIGO criteria (stage 1A, grade 1) can respond well; however, the reproducibility and prognostic ability of the current histopathological classification system is suboptimal. Molecular markers can be reproducibly assessed, have been validated as prognostic biomarkers, and may inform patient selection for progestin treatment. DNA polymerase epsilon (POLE)-ultramutated tumors and a subset of p53 wild-type or DNA mismatch repair (MMR)-deficient tumors with ‘low-risk’ features (eg, progesterone and estrogen receptor-positive) may have improved response rates, though this needs to be validated.DiscussionMolecular markers can identify cases which may be candidates for progestin treatment. More work is needed to validate these biomarkers and potentially identify new ones. Predictive biomarkers are anticipated to inform future research into progestin treatment of low-grade endometrial cancer and ultimately improve patient outcomes.

Ovarian conservation for young women with early-stage low-grade endometrial cancer: A proposal for a two-step approach

2021 ◽  
Author(s):  
Koji Matsuo ◽  
Rachel S. Mandelbaum ◽  
Shinya Matsuzaki ◽  
Maximilian Klar ◽  
Lynda D. Roman ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Young Women ◽  
Early Stage ◽  
Low Grade ◽  
Ovarian Conservation

scholarly journals Redefining Stage I Endometrial Cancer: Incorporating Histology, a Binary Grading System, Myometrial Invasion, and Lymph Node Assessment

2013 ◽  
Vol 23 (9) ◽  
pp. 1620-1628 ◽  
Author(s):  
Joyce N. Barlin ◽  
Robert A. Soslow ◽  
Megan Lutz ◽  
Qin C. Zhou ◽  
Caryn M. St. Clair ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Myometrial Invasion ◽  
Staging System ◽  
Stage I ◽  
Low Grade ◽  
List Type ◽  
High Grade ◽  
High Grade Carcinoma ◽  
Concordance Probability ◽  
Grade 3

ObjectiveWe propose a new staging system for stage I endometrial cancer and compare its performance to the 1988 and 2009 International Federation of Gynecology and Obstetrics (FIGO) systems.MethodsWe analyzed patients with 1988 FIGO stage I endometrial cancer from January 1993 to August 2011. Low-grade carcinoma consisted of endometrioid grade 1 to grade 2 lesions. High-grade carcinoma consisted of endometrioid grade 3 or nonendometrioid carcinomas (serous, clear cell, and carcinosarcoma). The proposed system is as follows:IA. Low-grade carcinoma with less than half myometrial invasionIA1: Negative nodesIA2: No nodes removedIB. High-grade carcinoma with no myometrial invasionIB1: Negative nodesIB2: No nodes removedIC. Low-grade carcinoma with half or greater myometrial invasionIC1: Negative nodesIC2: No nodes removedID. High-grade carcinoma with any myometrial invasionID1: Negative nodesID2: No nodes removedResultsData from 1843 patients were analyzed. When patients were restaged with our proposed system, the 5-year overall survival significantly differed (P < 0.001): IA1, 96.7%; IA2, 92.2%; IB1, 92.2%; IB2, 76.4%; IC1, 83.9%; IC2, 78.6%; ID1, 81.1%; and ID2, 68.8%. The bootstrap-corrected concordance probability estimate for the proposed system was 0.627 (95% confidence interval, 0.590–0.664) and was superior to the concordance probability estimate of 0.530 (95% confidence interval, 0.516–0.544) for the 2009 FIGO system.ConclusionsBy incorporating histological subtype, grade, myometrial invasion, and whether lymph nodes were removed, our proposed system for stage I endometrial cancer has a superior predictive ability over the 2009 FIGO staging system and provides a novel binary grading system (low-grade including endometrioid grade 1–2 lesions; high-grade carcinoma consisting of endometrioid grade 3 carcinomas and nonendometrioid carcinomas).

TNFα signalling predicts poor prognosis of patients with endometrial cancer

2020 ◽  
Vol 41 (8) ◽  
pp. 1065-1073
Author(s):  
Verena Wieser ◽  
Samira Abdel Azim ◽  
Susanne Sprung ◽  
Katharina Knoll ◽  
Johanna Kögl ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Clinical Outcome ◽  
The Cancer Genome Atlas ◽  
Western World ◽  
Low Grade ◽  
Necrosis Factor Alpha ◽  
Cancer Genome Atlas ◽  
Factor Alpha ◽  
The Impact

Abstract Endometrial cancer (EC) is the most common gynaecologic tumour in the Western world. Previous studies have implicated an imbalance of oestrogens and progestogens in the development of most ECs, while the role of low-grade tissue inflammation remains largely unexplored. We investigated the impact of tumour necrosis factor alpha (TNFα), a central mediator of inflammation and spermatogenesis-associated protein 2 (SPATA2), a regulator of TNF receptor signalling, on clinical outcomes in EC. We evaluated TNFA and SPATA2 transcript levels in 239 EC patients and 25 non-malignant control tissues. Findings were validated in a cohort of 332 EC patients from The Cancer Genome Atlas (TCGA). Expression of TNFA and SPATA2 was increased in EC when compared with control tissues (P &lt; 0.001). TNFA expression correlated with SPATA2 expression in non-malignant (P = 0.003, rS = 0.568) and EC tissue (P = 0.005, rS = 0.179). High TNFA and SPATA2 expression were associated with poor recurrence-free survival (RFS; P = 0.049 and P = 0.018) and disease-specific (P = 0.034 and P = 0.002) survival. Increased SPATA2 expression was also associated with decreased overall survival (OS; P = 0.013). In multivariate analysis, both TNFA and SPATA2 were predictors of clinical outcome. The impact of SPATA2 on RFS and OS could be validated in the TCGA cohort. Our study demonstrates that ECs exhibit a TNF signature which predicts clinical outcome. These findings indicate that TNF signalling modulates the course of EC, which could be therapeutically utilized in the future.

Can the apparent diffusion coefficient differentiate the grade of endometrioid adenocarcinoma and the histological subtype of endometrial cancer?

2017 ◽  
Vol 59 (3) ◽  
pp. 363-370 ◽  
Author(s):  
Bin Yan ◽  
Tingting Zhao ◽  
Xiufen Liang ◽  
Chen Niu ◽  
Caixia Ding
Keyword(s):  
Diffusion Coefficient ◽  
Endometrial Cancer ◽  
Apparent Diffusion Coefficient ◽  
Low Grade ◽  
Endometrioid Adenocarcinoma ◽  
High Grade ◽  
Squamous Differentiation ◽  
Apparent Diffusion ◽  
Adc Values ◽  
Endometrial Cancers

Background Diffusion-weighted imaging (DWI) provides useful information for the identification of benign and malignant uterine lesions. However, the use of the apparent diffusion coefficient (ADC) for histopathological grading of endometrial cancer is controversial. Purpose To explore the use of ADC values in differentiating the preoperative tumor grading of endometrioid adenocarcinomas and investigate the relationship between the ADC values of endometrial cancer and the histological tumor subtype. Material and Methods We retrospectively evaluated 98 patients with endometrial cancers, including both endometrioid adenocarcinomas (n = 80) and non-endometrioid adenocarcinomas (n = 18). All patients underwent DWI procedures and ADC values were calculated. The Kruskal–Wallis test and the independent samples Mann–Whitney U test were used to compare differences in the ADC values between different tumor grades and different histological subtypes. Results The mean ADC values (ADCmean) for high-grade endometrioid adenocarcinomas were significantly lower than the values for low-grade tumors (0.800 versus 0.962 × 10–3 mm2/s) ( P = 0.002). However, no significant differences in ADCmean and minimum ADC values (ADCmin) were found between tumor grades (G1, G2, and G3) of endometrial cancer. Compared with endometrioid adenocarcinomas, the adenocarcinoma with squamous differentiation showed lower ADC values (mean/minimum = 0.863/0.636 versus 0.962/0.689 × 10–3 mm2/s), but the differences were not significant ( Pmean = 0.074, Pmin = 0.441). Moreover, ADCmean for carcinosarcomas was significantly higher than the value for G3 non-carcinosarcoma endometrial cancers (1.047 versus 0.823 × 10–3 mm2/s) ( P = 0.001). Conclusion The ADCmean was useful for identifying high-grade and low-grade endometrioid adenocarcinomas. Additionally, squamous differentiation may decrease ADCmean and ADCmin of endometrioid adenocarcinoma, and carcinosarcomas showed relatively high ADCmean.

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