Front Endocrinol (Lausanne) March 2023 PMID 36950684

Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer.

Songyun Zhao, Xin Zhang, Feng Gao, Hao Chi, Jinhao Zhang, Zhijia Xia, Chao Cheng, Jinhui Liu

Mentions

3
Peak: 2 in Mar 2023
across 2 sources since Mar 2023

Extended reach

5,216
potential audience

Total likes

0

Video views

11

Mentions per month

Mar 2023 – Jun 2023

Where it's discussed

  • X / Twitter2 posts
  • YouTube1 videos

AI synopsis

What people are saying

The discussions highlight the significance of the study by emphasizing terms like 'novel subtypes' and 'prognostic model,' showing curiosity and support for the potential clinical applications, with some posts referencing the importance of understanding copper metabolism in ovarian cancer and how it could influence personalized therapies.

AgreementModerate agreement

Several posts express support or find the research valuable, indicating overall agreement with the significance of the findings.

InterestHigh interest

The discussions reflect high curiosity about the different subtypes and prognostic models, showing strong interest.

EngagementModerate engagement

One or two posts delve into methodological details or implications for treatment, indicating moderate engagement.

ImpactModerate impact

Many users acknowledge the potential clinical implications, suggesting the work could influence future ovarian cancer treatments.

Abstract in brief

  • The study focuses on ovarian cancer (OC) and investigates how genes related to copper metabolism (CMRGs) influence patient prognosis, identifying two distinct CM clusters with different survival outcomes.
  • Researchers developed a Prognostic Signature (CMRGPS) based on 11 genes to accurately predict overall survival, validated through various techniques like qRT-PCR and single-cell sequencing.
  • The study also explores the tumor immune environment and potential immunotherapy response, finding that the CMRGPS can help distinguish high-risk patients and guide personalized treatment strategies.]

Top posts

Most liked on X and Bluesky
Frontiers - Endocrinology
@FrontEndocrinol · X

New Research: Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer: Background Ovarian cancer (OC) is one of the most common and most malignant gynecological malignancies… https://t.co/QlY37zaGFj #Endocrinology #Endo

Mar 6, 2023 · 5,050 followers View post →
OVCA Papers
@OvcaPapers · X

Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer https://t.co/Du0mDifzFy

Mar 23, 2023 · 156 followers View post →

All mentions

OVCA Papers
@OvcaPapers · X

Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer https://t.co/Du0mDifzFy

Mar 23, 2023 · 156 followers View post →
Frontiers - Endocrinology
@FrontEndocrinol · X

New Research: Identification of copper metabolism-related subtypes and establishment of the prognostic model in ovarian cancer: Background Ovarian cancer (OC) is one of the most common and most malignant gynecological malignancies… https://t.co/QlY37zaGFj #Endocrinology #Endo

Mar 6, 2023 · 5,050 followers View post →