AI Article Synopsis

  • Objective of the study was to create a model to predict overall survival (OS) in patients with hepatocellular carcinoma treated with radiotherapy for metastatic abdominal lymph nodes.
  • The study analyzed 228 patients, finding that those who responded to treatment had a significantly longer median OS (14.2 months) compared to non-responders (7.5 months).
  • Key prognostic factors identified included liver function, intrahepatic tumor status, metastasis presence, and lymph node response; a new nomogram was developed to predict 2-year OS with good accuracy, aiding in treatment strategy selection.

Article Abstract

Objective: To develop a prognostic model for overall survival (OS) in hepatocellular carcinoma (HCC) patients receiving radiotherapy (RT) to metastatic abdominal lymph nodes (LNs).

Materials And Methods: Two hundred twenty-eight patients treated with RT to metastatic abdominal LNs were retrospectively reviewed.

Results: Median OS in all patients was 11.1 months. LN responders had significantly higher median OS than non-responders (14.2 months vs. 7.5 months, <0.05). On multivariate analysis, Child-Pugh classification, status of intrahepatic tumor, presence of distant metastasis, number and location of metastatic LNs, serum level of alpha fetoprotein (AFP), and the LN response to RT were significant prognostic factors for OS ( < 0.05 each). Based on the results of multivariate analysis, prognostic group stratification according to the number of pre-treatment risk factors was a significant predictor of OS, and median OS in patients with ≥ 4, 3, 2, 1, and 0 risk factors were 2.9, 5.5, 10.3, 13.6, and 27.8 months, respectively (<0.05). A nomogram was formulated by integrating the different prognostic contribution of each factor, and it showed good accuracy for predicting 2-year OS with a concordance index of 0.72.

Conclusion: Prognostic group stratification and nomogram could be useful prognostic and therapeutic indicators in selecting treatment strategies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5706887PMC
http://dx.doi.org/10.18632/oncotarget.21775DOI Listing

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