In silico approach for validating and unveiling new applications for prognostic biomarkers of endometrial cancer

E Coll-de La Rubia, E Martinez-Garcia, G Dittmar… - Cancers, 2021 - mdpi.com
Simple Summary Endometrial cancer (EC) mortality is directly associated with the presence
of poor prognostic factors. Molecular prognostic factors have been identified, but none are …

Establishment of a nine‐gene prognostic model for predicting overall survival of patients with endometrial carcinoma

J Ying, Q Wang, T Xu, J Lyu - Cancer medicine, 2018 - Wiley Online Library
Endometrial carcinoma (EC) is the most common malignant tumor of the female genital tract
in developed countries. The prognosis of early stage EC is favorable, but a subset faces …

A novel transcription factor-based prognostic signature in endometrial cancer: Establishment and validation

X Yang, Y Cheng, X Li, J Zhou, Y Dong… - OncoTargets and …, 2021 - Taylor & Francis
Background Endometrial cancer (EC) is a common malignancy of the female reproductive
system worldwide. Increasing evidence has suggested that many transcription factors are …

Current and emerging prognostic biomarkers in endometrial cancer

K Njoku, CE Barr, EJ Crosbie - Frontiers in Oncology, 2022 - frontiersin.org
Endometrial cancer is the most common gynaecological malignancy in high income
countries and its incidence is rising. Whilst most women with endometrial cancer are …

Identification of potential crucial genes associated with the pathogenesis and prognosis of endometrial cancer

L Liu, J Lin, H He - Frontiers in genetics, 2019 - frontiersin.org
Background and Objective Endometrial cancer (EC) is a common gynecological malignancy
worldwide. Despite advances in the development of strategies for treating EC, prognosis of …

Identification of a metabolism-related signature for the prediction of survival in endometrial cancer patients

Y Fan, X Li, L Tian, J Wang - Frontiers in oncology, 2021 - frontiersin.org
Objective Endometrial cancer (EC) is one of the most common gynecologic malignancies.
The present study aims to identify a metabolism-related biosignature for EC and explore the …

[HTML][HTML] Combining bioinformatics and experiments to identify and verify key genes with prognostic values in endometrial carcinoma

W Zhang, L Gao, C Wang, S Wang, D Sun, X Li… - Journal of …, 2020 - ncbi.nlm.nih.gov
Combining Bioinformatics and Experiments to Identify and Verify Key Genes with Prognostic
Values in Endometrial Carcinoma - PMC Back to Top Skip to main content NIH NLM Logo …

# 383 BioEndoCar: identifying candidate biomarkers for diagnosis and prognosis of endometrial carcinoma using machine learning and artificial intelligence

M Kokol, A Romano, E Werner, Š Smrkolj, L Roškar… - 2023 - ijgc.bmj.com
Introduction/Background Endometrial carcinoma (EC) is the most common gynaecological
malignancy in the developed world. Currently, no valid non-invasive diagnostic or …

Establishment of a novel cell cycle-related prognostic signature predicting prognosis in patients with endometrial cancer

J Liu, J Mei, S Li, Z Wu, Y Zhang - Cancer Cell International, 2020 - Springer
Abstract Background Endometrial cancer (EnCa) ranks fourth in menace within women's
malignant tumors. Large numbers of studies have proven that functional genes can change …

Integrative analysis of differently expressed genes reveals a 17‐Gene prognosis signature for endometrial carcinoma

A Wang, H Guo, Z Long - BioMed Research International, 2021 - Wiley Online Library
Endometrial carcinoma (EC) is the fifth widely occurring malignant neoplasm among women
all over the world. However, there is still lacking efficacy indicators for EC's prognosis. Here …