Eur J Cancer: A new prediction model for recurrence-free survival and overall survival after radical resection of a single giant liver cancer

Hepatocellular carcinoma (HCC) is the leading cause of cancer-related deaths worldwide

diagnosis

To date, no postoperative survival prognostic model for a single giant liver cancer (SLH-HCC, diameter >5.

Single giant liver cancer (SLH-HCC, diameter >5.

The researchers retrospectively collected data on 2469 patients with SLH-HCC who underwent radical resection in China from January 2005 to December 2015

Study the comparison between the nomogram and the prediction ability of 5 conventional HCC staging systems

Study the comparison between the nomogram and the prediction ability of 5 conventional HCC staging systems

Training in the queue, based on clinicopathological characteristics (diameter, differentiation, microtubule vascular invasion, AFP), the operation factor (preoperative transcatheter arterial chemoembolization, hepatic resection and blood transfusion), systemic inflammation, and liver function Or the nomograms of PFS and OS established by immune status have achieved high C-indexes, 0.

Based on clinicopathological characteristics (diameter, differentiation, microtubule vascular invasion, AFP), the operation factor (transcatheter arterial chemoembolization, hepatic resection preoperative and intraoperative blood transfusion), or systemic inflammatory liver function and the immune status of established The nomograms of PFS and OS have achieved high C-indexes, 0.

RFS and OS of patients stratified according to the nomogram score: A, B, C: RFS; D, E, F: OS; A, D: training cohort; B, E: internal verification cohort; C, F: external Verification queue

RFS and OS of patients stratified according to the nomogram score: A, B, C: RFS; D, E, F: OS; A, D: training cohort; B, E: internal verification cohort; C, F: external Verification queue

Moreover, the performance of the model has been well confirmed in the internal verification queue and the external verification queue (internal verification queue: RFS and OS are 0.

The performance of the model validation and external validation cohort in internal queue are been well demonstrated that the model can accurately SLH-HCC patients were divided into low after surgery, the risk of recurrence and death in high-risk groups that the model can be SLH- HCC patients are accurately divided into groups with low, medium, and high risk of recurrence and death after surgery

In summary, the nomogram model established in this study can predict the RFS and OS of patients with SLH-HCC after radical surgery, and help guide doctors and patients to timely preventive intervention

The nomogram model established in this study can predict the RFS and OS of patients with SLH-HCC after radical surgery, and help guide doctors and patients to timely preventive intervention

Original source:

Wang Jun-Cheng,Hou Jing-Yu,Chen Jian-Cong et al.

Development and validation of prognostic nomograms for single large and huge hepatocellular carcinoma after curative resection

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