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.
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.
AgreementModerate 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.
InterestModerate interest
Posts express moderate interest, with some highlighting potential clinical applications and others showing curiosity about the methodology.
EngagementModerate engagement
Participants reference specific aspects such as nomograms and immune features, indicating active engagement, but discussions don't delve deeply into technical details.
ImpactModerate impact
There's a shared perception that this research could impact personalized treatment approaches, although the overall tone remains cautiously optimistic.
Abstract in brief
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.]
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. https://t.co/At7oQ7JHhu
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. https://t.co/v7gisKOcax https://t.co/I7xZBNkvJh
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…
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. https://t.co/At7oQ7JHhu
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. https://t.co/v7gisKOcax https://t.co/I7xZBNkvJh
com/doi/10.1002/9781119117421.ch4/summary Christy e McNider, 2017 ... CAM4. http://onlinelibrary.wiley. com/doi/10.1002/2017GL072772/abstract Shi et al ...
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