Novel survival nomograms for patients with lung metastatic clear cell renal cell carcinoma

Abstract

Survival heterogeneity is observed among renal cell carcinoma (RCC) patients with metastases in different organs. Moreover, almost all previous prognostic nomograms based on data from metastatic RCC patients did not take competing events, such as death from cerebrovascular and heart diseases, into account. We aimed to construct novel prognostic nomograms for patients with lung metastatic clear cell RCC (LMCCRCC). Data of 712 non-Hispanic white LMCCRCC patients registered in the Surveillance, Epidemiology, and End Results database were retrospectively analyzed. Nomograms for predicting overall survival (OS) and disease-specific survival (DSS) were established using the Cox approach and Fine and Gray approach, respectively, and their performances were assessed using the concordance index (C-index), calibration plots, and an independent cohort comprising 181 Hispanic patients. Sex, tumor grade, T stage, N stage, presence or absence of bone metastases, and presence or absence of brain metastases were independent predictors for both OS and DSS. Additionally, presence or absence of liver metastases was an independent predictor only for DSS. Meanwhile, age at diagnosis was independently associated with OS. The C-indexes of the nomograms were 0.702 for OS and 0.723 for DSS in internal validation. In external validation, the C-indexes were 0.700 for OS and 0.708 for DSS. Both internal and external calibration plots showed excellent consistency between the prediction and the observation. The current study developed a novel nomogram for predicting individual OS in LMCCRCC patients. Moreover, we constructed an effective competing risk nomogram for predicting their individual DSS for the first time.

Therapeutic options for different metastatic sites arising from renal cell carcinoma: A review

“…However, these factors may not be applicable to all patients. [58] Furthermore, Xinyu Sheng et al have developed a nomogram based on the SEER database to predict the prognosis for patients with LM-RCC. This model incorporates 7 factors, including pathological type and clinical and treatment characteristics, providing direct insight into patient survival rates.…”

Development of a prognostic model in patients with metastatic bone lesions to choose surgical treatment: retrospective study

“…Большинство шкал оценивает состояние больных с метастазами исключительно в позвоночник. Нет также ни одного исследования, в котором учитывались бы все прогностические факторы [9,10].…”

Development and validation of a prognostic nomogram for predicting cancer-specific survival in patients with metastatic clear cell renal carcinoma: A study based on SEER database

“…The nomogram consists of basic variables such as demographics, tumor characteristics, and treatment characteristics ( 17 ). In the past few years, several prognostic nomograms have been developed for RCC patients ( 18 ), some of which are based only on data from patients with mRCC. However, for the nomogram of distant metastasis of ccRCC, we only found a prognostic nomogram of lung metastasis of ccRCC ( 18 ).…”

“…In the past few years, several prognostic nomograms have been developed for RCC patients ( 18 ), some of which are based only on data from patients with mRCC. However, for the nomogram of distant metastasis of ccRCC, we only found a prognostic nomogram of lung metastasis of ccRCC ( 18 ). The nomogram of prognosis of ccRCC patients with metastasis of other organs or multiple organs has not been found yet.…”