Multi-omics decipher the immune microenvironment and unveil therapeutic strategies for postoperative ovarian cancer patients.

ABSTRACT:

Background

Ovarian cancer (OC) is a highly aggressive and often fatal disease that frequently goes undetected until it has already metastasized. The classic treatment for OC involves surgery followed by chemotherapy. However, despite the effectiveness of surgery, relapse is still a common occurrence. Unfortunately, there is currently no ideal predictive model for the progression and drug sensitivity of postoperative OC patients. Cell death patterns play an important role in tumor progression. So we aimed to investigate their potential to be used as indicators of postoperative OC prognosis and drug sensitivity.

Methods

A total of 12 programmed cell death (PCD) patterns were employed to construct novel classification and prognosis model. Bulk transcriptome, genomics, and clini

SUBMITTER: Liu Z 

PROVIDER: S-EPMC11651737 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature