Two predictive precision medicine tools for hepatocellular carcinoma

Abstract

BackgroundHepatocellular carcinoma (HCC) is a serious threat to public health due to its poor prognosis. The current study aimed to develop and validate a prognostic nomogram to predict the overall survival of HCC patients.MethodsThe model cohort consisted of 24,991 mRNA expression data points from 348 HCC patients. The least absolute shrinkage and selection operator method (LASSO) Cox regression model was used to evaluate the prognostic mRNA biomarkers for the overall survival of HCC patients.ResultsUsing multivariate Cox proportional regression analyses, a prognostic nomogram (named Eight-mRNA prognostic nomogram) was constructed based on the expression data of N4BP3, -ADRA2B, E2F8, MAPT, PZP, HOXD9, COL15A1, and -NDST3. The C-index of the Eight-mRNA prognostic nomogram was 0.765 (95% CI 0.724–0.806) for the overall survival in the model cohort. The Harrell’s concordance-index of the Eight-mRNA prognostic nomogram was 0.715 (95% CI 0.658–0.772) in the validation cohort. The survival curves demonstrated that the HCC patients in the high risk group had a significantly poorer overall survival than the patients in the low risk group.ConclusionIn the current study, we have developed two convenient and efficient predictive precision medicine tools for hepatocellular carcinoma. These two predictive precision medicine tools are helpful for predicting the individual mortality risk probability and improving the personalized comprehensive treatments for HCC patients. The Smart Cancer Predictive System can be used by clicking the following URL: https://zhangzhiqiao2.shinyapps.io/Smart_cancer_predictive_system_HCC_2/. The Gene Survival Analysis Screen System is available at the following URL: https://zhangzhiqiao5.shinyapps.io/Gene_Survival_Analysis_A1001/.

Identification of Aging-Related Genes Associated With Clinical and Prognostic Features of Hepatocellular Carcinoma

“…MAPT plays an important role in the assembly of tubulin and stabilization of microtubules, which act as protective factors in renal and prostate cancers (Han et al, 2020 ; Sekino et al, 2020 ). However, in the current study, EEF1E1 and MAPT were found to be risk factors for prognosis in the TCGA database, as previously reported (Biterge-Sut, 2019 ; Zhang et al, 2019 ), which deserves further validation. In summary, they were first identified to represent a prognostic risk model for HCC.…”

“…). However, in the current study, EEF1E1 and MAPT were found to be risk factors for prognosis in the TCGA database, as previously reported (Biterge-Sut, 2019;Zhang et al, 2019), which deserves further validation. In summary, they were first identified to represent a prognostic risk model for HCC.…”

Hepatokine Pregnancy Zone Protein Governs the Diet‐Induced Thermogenesis Through Activating Brown Adipose Tissue

“…Recently, PZP has been described as a novel biomarker for screening lung adenocarcinoma in T2DM patients or predicting the prognosis of hepatocellular carcinoma. [ 56 , 57 ] However, It was noted that PZP expression is lower in tumor tissues than that in normal tissues [ 58 , 59 ] and ablation of PZP promotes breast cancer progression. [ 60 ] Thus, our protein therapy is safe without adverse effect in promoting tumor growth.…”

Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma

“…In recent years, several studies have predicted individual survival curves for cancer patients based on different algorithms [19] , [20] , [21] . Our research team developed several precise medicine predictive systems to predict individual survival curves for different cancers before clinical treatment based on genetic data [22] , [23] , [24] , [25] , [26] , [27] , [28] , [29] . Several experts proposed valuable suggestions for improving our precision medicine tools presented in our previous articles.…”