Integrative prognostic modeling of ovarian cancer: incorporating genetic, clinical, and immunological markers
Abstract Ovarian cancer has a high mortality rate, primarily due to late diagnosis and complex pathogenesis. This study develops an integrative prognostic model combining genetic, clinical, and immunological data to predict outcomes in ovarian cancer patients. Utilizing data from The Cancer Genome A...
Saved in:
Main Authors: | Aidi Lin, Feifei Xue, Chenxiang Pan, Lijiao Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2025-02-01
|
Series: | Discover Oncology |
Subjects: | |
Online Access: | https://doi.org/10.1007/s12672-025-01819-6 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Activin levels correlate with lymphocytic infiltration in epithelial ovarian cancer
by: Elizabeth T. Evans, et al.
Published: (2024-09-01) -
Identification of a distinctive immunogenomic gene signature in stage-matched colorectal cancer
by: Pankaj Ahluwalia, et al.
Published: (2024-12-01) -
Defining the high-risk category of patients with cutaneous melanoma: a practical tool based on prognostic modeling
by: Oleksandr Dudin, et al.
Published: (2025-02-01) -
Editorial: Genetics and epigenetics in ovarian aging
by: Honey V. Reddi
Published: (2025-02-01) -
Pre-injection of exosomes can significantly suppress ovarian cancer growth by activating the immune system in mice
by: Yuanyuan Wang, et al.
Published: (2025-02-01)