The reporter was informed on the 30th that the president of the Naval Military Medical University and the academician of the Chinese Academy of Engineering led by Professor Sun Yinghao, Professor Wang Linhui, director of the Department of Urology, Changzheng Hospital of the Naval Military Medical University, and the Nanjing General Hospital of the People's Liberation Army united a number of units to screen out the most accurate international standards. The predictive model of renal cancer prognosis can significantly improve the prognostic efficacy of existing clinical indicators. The results were recently published online in the European magazine Urology, the top magazine in the field of urology.
It is understood that surgical treatment is the first choice for the treatment of early stage renal cancer. For example, an accurate predictive model for the prognosis of patients with early stage renal cancer can be established, and early warning of recurrence and metastasis of tumor after surgery can be realized, and early intervention will not give tumors. "Terrorists" left any chance to resurrect. Researchers such as Academician Sun Yinghu and Professor Wang Linhui first used the US and Japanese renal cancer transcriptome sequencing data, combined with clinical data for statistical analysis, for the first time to screen out a predictive model of renal cancer prognosis consisting of four long-chain non-coding RNAs. For RCClnc4. The researchers further used clinical specimens and information from 1869 renal cancer patients from three independent cohorts in China to fully validate the predictive efficacy of the model. The results demonstrate that RCClnc4 has an accurate prognostic ability in early stage renal cell carcinoma. (Reporter Zhang Qiang)
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