[HTML][HTML] A novel defined programmed cell death related gene signature for predicting the prognosis of serous ovarian cancer

F Zhan, Y Guo, L He - Journal of Ovarian Research, 2024 - Springer
Purpose This study aims to explore the contribution of differentially expressed programmed
cell death genes (DEPCDGs) to the heterogeneity of serous ovarian cancer (SOC) through …

[HTML][HTML] Assessing of programmed cell death gene signature for predicting ovarian cancer prognosis and treatment response

X Lian, B Liu, C Wang, S Wang, Y Zhuang… - Frontiers in …, 2023 - frontiersin.org
Background Programmed cell death (PCD) is an overwhelming factor affecting tumor cell
metastasis, but the mechanism of PCD in ovarian cancer (OV) is still uncertain. Methods To …

[HTML][HTML] Identification of immunity-and ferroptosis-related genes for predicting the prognosis of serous ovarian cancer

X Yuan, Q Zhou, F Zhang, W Zheng, H Liu, A Chen… - Gene, 2022 - Elsevier
Background Serous ovarian cancer (SOC) is the most common type of ovarian cancer (OC),
with bad outcomes. To improve the prognosis of SOC patients, a novel risk signature was …

[HTML][HTML] A novel TCGA-validated programmed cell-death-related signature of ovarian cancer

X Cai, J Lin, L Liu, J Zheng, Q Liu, L Ji, Y Sun - BMC cancer, 2024 - Springer
Background Ovarian cancer (OC) is a gynecological malignancy tumor with high recurrence
and mortality rates. Programmed cell death (PCD) is an essential regulator in cancer …

Machine Learning Developed a Programmed Cell Death Signature for Predicting Prognosis, Ecosystem, and Drug Sensitivity in Ovarian Cancer

L Wang, X Chen, L Song, H Zou - Analytical Cellular Pathology, 2023 - Wiley Online Library
Background. Ovarian cancer (OC) is the leading cause of gynecological cancer death and
the fifth most common cause of cancer‐related death in women in America. Programmed …

[HTML][HTML] Immunogenic cell death-related gene landscape predicts the overall survival and immune infiltration status of ovarian cancer

W Zhang, T Liu, L Jiang, J Chen, Q Li, J Wang - Frontiers in Genetics, 2022 - frontiersin.org
Background: Ovarian cancer (OC) is the most troubling malignant tumor of the female
reproductive system. It has a low early diagnosis rate and a high tumor recurrence rate after …

[HTML][HTML] Immune profiling reveals prognostic genes in high-grade serous ovarian cancer

Y Wu, L Xia, P Zhao, Y Deng, Q Guo, J Zhu… - Aging (Albany …, 2020 - ncbi.nlm.nih.gov
High-grade serous ovarian cancer (HGSOC) is a heterogeneous disease with diverse
clinical outcomes, highlighting a need for prognostic biomarker identification. Here, we …

[HTML][HTML] A comprehensive analysis of prognostic indicators in serous ovarian cancer based on leukocyte migration and immune microenvironment

J Pan, X Chen, L Yang, Y Song, J Liu, L Li… - Frontiers in Bioscience …, 2023 - imrpress.com
Background: High-grade serous ovarian cancer (HGSOC) treatment is facing clinical
challenges. The tumor immune microenvironment (TME) has recently been shown to …

[HTML][HTML] Construction of monocyte-related prognosis model based on comprehensive analysis of bulk RNA-seq and single-cell RNA-seq in high-grade serous ovarian …

Y Xu, S Tan, W Huang, YX Wang - Medicine, 2023 - journals.lww.com
High-grade serous ovarian cancer (HGSOC) is a common subtype of ovarian cancer with
high mortality. Finding a new biomarker is useful for the diagnosis and treatment of HGSOC …

A Robust Gene Expression Prognostic Signature for Overall Survival in High‐Grade Serous Ovarian Cancer

Y Zhao, SM Yang, YL Jin, GW Xiong… - Journal of …, 2019 - Wiley Online Library
The objective of this research was to develop a robust gene expression‐based prognostic
signature and scoring system for predicting overall survival (OS) of patients with high‐grade …