Article
Multidisciplinary Sciences
Bulat Zagidullin, Annukka Pasanen, Mikko Loukovaara, Ralf Butzow, Jing Tang
Summary: This study applies Cox proportional hazards and optimal survival tree algorithms to predict the survival of endometrial carcinoma patients, demonstrating the advantages of different models in risk assessment. The study also explores new research hypotheses using visual interpretable tree models and identifies important risk factors.
SCIENTIFIC REPORTS
(2022)
Article
Oncology
B. G. Wortman, E. Astreinidou, M. S. Laman, E. M. van der Steen-Banasik, L. C. H. W. Lutgens, H. Westerveld, F. Koppe, A. Slot, H. A. van den Berg, M. E. Nowee, S. Bijmolt, T. C. Stam, A. G. Zwanenburg, J. W. M. Mens, I. M. Jurgenliemk-Schulz, A. Snyers, C. M. Gillham, N. Weidner, S. Kommoss, K. Vandecasteele, V. Tomancova, C. L. Creutzberg, R. A. Nout
Summary: The study evaluates the quality and protocol adherence of vaginal brachytherapy in endometrial cancer patients. Results showed the majority of institutes required adjustments in delineation or planning, with most deviations during annual quality assurance related to delineation and dose at the vaginal apex. Annual quality assurance is crucial for maintaining high-quality brachytherapy and protocol compliance.
RADIOTHERAPY AND ONCOLOGY
(2021)
Article
Oncology
Junhwan Kim, Se Ik Kim, Nae Ry Kim, Hyojin Kim, Hee Seung Kim, Hyun Hoon Chung, Jae-Weon Kim, Cheol Lee, Maria Lee
Summary: This study investigated the prognostic significance of L1 cell-adhesion molecule (L1CAM), β-catenin, and programmed death-ligand 1 (PD-L1) in endometrial cancer (EC) patients, with a focus on the p53 wild-type subgroup. The results showed that L1CAM positivity was associated with poor prognosis in EC and increased the risk of recurrence in the p53 wild-type subgroup.
GYNECOLOGIC ONCOLOGY
(2023)
Article
Oncology
Nanda Horeweg, Remi A. Nout, Ina M. Jurgenliemk-Schulz, Ludy C. H. W. Lutgens, Jan J. Jobsen, Marie A. D. Haverkort, Jan Willem M. Mens, Annerie Slot, Bastiaan G. Wortman, Stephanie M. de Boer, Ellen Stelloo, Karen W. Verhoeven-Adema, Hein Putter, Vincent T. H. B. M. Smit, Tjalling Bosse, Carien L. Creutzberg
Summary: The molecular classification of endometrial cancer has predictive value for response to radiotherapy in early-stage endometrioid EC. Different molecular subtypes have different responses to adjuvant therapy, and radiotherapy may not be necessary for certain molecular subtypes.
JOURNAL OF CLINICAL ONCOLOGY
(2023)
Article
Oncology
Seungyeon Joe, Miseon Lee, Jun Kang, Joori Kim, Sook-Hee Hong, Sung Jong Lee, Keun Ho Lee, Ahwon Lee
Summary: The study utilized POLE ddPCR and L1CAM IHC as alternative methods for molecular classification in early-stage endometrial cancer, enhancing risk stratification and providing valuable information for treatment decisions and patient outcomes.
Article
Medicine, General & Internal
Marketa Bednarikova, Petra Vinklerova, Jana Gottwaldova, Petra Ovesna, Jitka Hausnerova, Lubos Minar, Michal Felsinger, Dalibor Valik, Zdenka Cermakova, Vit Weinberger
Summary: The study suggests that serum levels of DJ1 and L1CAM may be useful in monitoring treatment effects and recurrence in endometrial cancer patients. Specifically, these biomarkers were significantly higher in patients with recurrence compared to disease-free patients.
JOURNAL OF CLINICAL MEDICINE
(2021)
Article
Genetics & Heredity
Yujie Liu, Yue Gu, Mengyan Zhang, Jiaqi Zeng, Yangyang Wang, Hongli Wang, Xueting Liu, Sijia Liu, Zhao Wang, Yuan Wang, Le Wang, Yunyan Zhang
Summary: This study explored specific prognostic clusters based on endometrial cancer methylation data in the TCGA database, and constructed a prognostic model for classification. The study also analyzed the immune function and chemotherapy drug sensitivity of each cluster.
Article
Pathology
Lisa Vermij, Alicia Leon-Castillo, Naveena Singh, Melanie E. Powell, Richard J. Edmondson, Catherine Genestie, Pearly Khaw, Jan Pyman, C. Meg McLachlin, Prafull Ghatage, Stephanie M. de Boer, Hans W. Nijman, Vincent T. H. B. M. Smit, Emma J. Crosbie, Alexandra Leary, Carien L. Creutzberg, Nanda Horeweg, Tjalling Bosse
Summary: This study comprehensively investigated the relationship between abnormal p53 immunohistochemical (IHC) patterns and clinicopathological and molecular features. The presence of subclonal abnormal p53 expression was found to be a strong indicator for POLEmut and/or MMRd EC. Awareness of abnormal p53 IHC patterns is crucial for correct EC molecular classification.
Article
Biochemistry & Molecular Biology
Fang Jiang, Shiyang Jiang, Dongyan Cao, Mingyi Mao, Yang Xiang
Summary: Current molecular classification approaches for endometrial cancer often employ multiple testing platforms. However, some subtypes still lack clear prognostic significance, indicating the need for further risk sub-stratification. This study investigates the feasibility of classifying EC using DNA sequencing and explores immunologic signatures and prognostic markers within subtypes.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Immunology
Yibo Dai, Luyang Zhao, Dingchao Hua, Lina Cui, Xiaobo Zhang, Nan Kang, Linlin Qu, Liwei Li, He Li, Danhua Shen, Zhiqi Wang, Jianliu Wang
Summary: This study comprehensively deciphered the immunological features of different molecular subtypes of endometrial cancer. The TMB-H subtype showed a high degree of infiltration of CD8(+) T cells. In the NSMP subtype, the overall degree of intra-tumoral infiltrating immune cells was low. In the TP53 mutant subtype, the densities of both PD-L1(+) macrophages and PD-1(+) T cells in tumor parenchyma were the highest among the four subtypes.
FRONTIERS IN IMMUNOLOGY
(2022)
Review
Obstetrics & Gynecology
Ye Yang, Su Fang Wu, Wei Bao
Summary: This study summarizes the expression and molecular basis of the main biomarkers of endometrial cancer, including DNA mismatch repair deficiency, high microsatellite instability, POLE exonuclease domain mutation, TP53 gene mutation, and non-specific molecular spectrum. The study also summarizes the ongoing clinical trials and common therapy methods in endometrial cancer. Combining clinical and pathologic characteristics to guide treatment decisions may improve the management of endometrial cancer and provide more effective treatment options for patients.
INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS
(2023)
Article
Oncology
Alexander Mustea, Damian J. Ralser, Eva Egger, Ulrike Ziehm, Sonia Vivas, Stephan Brock, David Jackson, Mateja Condic, Christian Meisel, Lucia Otten, Anna Laib, Miguel Cubas Cordova, Rahel Hartmann, Martin A. Stein, Dominique Koensgen, Matthias B. Stope
Summary: This study successfully determined the four TCGA EC molecular subtypes using a single-method whole-exome sequencing approach provided by MH Guide, and compared their prognostic value with the TCGA classification. The results showed high concordance between the two approaches in terms of prognostic significance. This suggests that the MH Guide approach can reliably reproduce the multi-method-based TCGA EC molecular subtypes and represents a promising diagnostic tool.
Article
Oncology
Deborah Zeiter, Tatjana Vlajnic, Andreas Schoetzau, Viola Heinzelmann-Schwarz, Celine Montavon
Summary: L1CAM expression in endometrial cancer is associated with aggressive tumor features, yet does not provide significant predictive information for lymph node metastasis. While L1CAM is not suitable for tailoring surgical algorithms for lymph node staging, it serves as a predictive biomarker for selecting patients who may benefit from adjuvant radiotherapy.
Article
Oncology
Antonella Ravaggi, Davide Capoferri, Laura Ardighieri, Iacopo Ghini, Federico Ferrari, Chiara Romani, Mattia Bugatti, Laura Zanotti, Stephanie Vrede, Germana Tognon, Johanna M. A. Pijnenborg, Enrico Sartori, Stefano Calza, Eliana Bignotti, Franco Odicino
Summary: This study demonstrated the independent prognostic value of four molecular subgroups in high-risk endometrial cancer patients, with L1CAM expression further stratifying the NSMP subgroup and showing significant prognostic value. L1CAM was identified as a promising candidate as a prognostic and predictive biomarker in the high-risk NSMP subgroup.
Review
Obstetrics & Gynecology
Andrea Giannini, Ottavia D'Oria, Giacomo Corrado, Valentina Bruno, Isabella Sperduti, Giorgio Bogani, Antonio Simone Lagana, Vito Chiantera, Donatella Caserta, Enrico Vizza
Summary: This study conducted a systematic review and meta-analysis of five studies to evaluate the prognostic role of L1 cell adhesion molecule (L1CAM) in stage I endometrial cancer. The results showed that high L1CAM expression is associated with worse disease-free survival and overall survival, as well as more aggressive FIGO grade and older age.
ARCHIVES OF GYNECOLOGY AND OBSTETRICS
(2023)