Development and validation of nomograms integrating immune-related genomic signatures with clinicopathologic features to improve prognosis and predictive value of triple-negative breast cancer: A gene expression-based retrospective study.

Kang Wang, Hai-Lin Li, Yong-Fu Xiong, Yang Shi, Zhu-Yue Li, Jie Li, Xiang Zhang, Hong-Yuan Li

February 2019 Cancer Med

Synopsis of Social media discussions

The discussions reflect a balanced appreciation of the study, with comments like 'these nomograms could significantly improve prognosis predictions' indicating interest, and mentions of immune microenvironment features and clinical implications showcasing engagement. The tone is professional and optimistic, emphasizing the potential for personalized therapies and better patient outcomes.

A
Agreement
 Moderate agreement

Most discussions recognize the value of integrating immune-related genomic signatures into prognostic models for TNBC, showing general support for the study’s findings.

I
Interest
 Moderate level of interest

Posts express moderate interest, with some highlighting potential clinical applications and others showing curiosity about the methodology.

E
Engagement
 Moderate level of engagement

Participants reference specific aspects such as nomograms and immune features, indicating active engagement, but discussions don't delve deeply into technical details.

I
Impact
 Moderate level of impact

There's a shared perception that this research could impact personalized treatment approaches, although the overall tone remains cautiously optimistic.

Social Mentions

YouTube

1 Videos

Facebook

3 Posts

Twitter

2 Posts

TikTok

3 Posts

News

2 Articles

Metrics

Video Views

54

Extended Reach

495

Social Features

11

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Refining Prognosis and Treatment Prediction in Triple-Negative Breast Cancer Using Immune-Related Genomic Signatures

Refining Prognosis and Treatment Prediction in Triple-Negative Breast Cancer Using Immune-Related Genomic Signatures

Development and validation of nomograms integrating immune-related genomic signatures with clinicopathologic features to improve prognosis and predictive value of triple-negative breast cancer. The models enhance personalized treatment strategies based on immune microenvironment analysis.

Social RTCL TV

October 26, 2023

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Abstract Synopsis

  • The study developed and validated nomograms that combine immune-related genomic signatures with clinical and pathological features to better predict prognosis and treatment response in triple-negative breast cancer (TNBC).
  • Researchers identified specific immune features linked to TNBC's immune microenvironment, which were used to create models predicting disease-free survival (DFS) and overall survival (OS), showing good accuracy with hazard ratios and AUC values.
  • The nomograms revealed that low-risk patients with higher immune checkpoint molecule expression benefited more from radiotherapy than chemotherapy, suggesting that immune genomic data can enhance personalized treatment strategies for TNBC.]