Circulating Long Noncoding RNA, LIPCAR, Predicts Survival in Patients With Heart Failure

By R. Kumarswamy, C. Bauters, Ingo Volkmann, Fleur Maury, J. Fetisch, A. Holzmann, G. Lemesle, P. De Groote, F. Pinet, Thomas Thum. Circulation Research, 2014

603 citations recorded by the source corpus.

Subfields: Cancer Research, Cardiology and Cardiovascular Medicine

View Paper: https://www.semanticscholar.org/paper/76ebf996d9e7d551792c2ad94e88f269b8a76c23

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cancer Research

1. Zhuhong You
2. Chenggang Clarence Yan
3. Xu Zhang
4. Xing Chen

In Cardiology and Cardiovascular Medicine

1. K. Weeks
2. Bianca C. Bernardo
3. J. McMullen

Citations in the corpus

• Long non-coding RNAs and complex diseases: from experimental results to computational models (2016, methodology): “Therefore, LIPCAR could be used to predict survival for the patients with HF and identify the state of patients’ cardiac remodeling independent to other risk markers associated with cardiovascular deaths [148].”
• Pathophysiology of cardiac hypertrophy and heart failure: signaling pathways and novel therapeutic targets (2015, background): “1, LIPCAR, as a predictor for survival in patients with HF (Kumarswamy et al. 2014).”