A novel nomogram predicting the early recurrence of hepatocellular carcinoma patients after R0 resection

Preoperative prediction of microvascular invasion classification in hepatocellular carcinoma based on clinical features and MRI parameters

Microvascular invasion (MVI) in hepatocellular carcinoma (HCC) is a critical pathological factor and the degree of MVI influences treatment decisions and patient prognosis. The present study aimed to predict the MVI classification based on preoperative MRI features and clinical parameters. The present retrospective cohort study included 150 patients (training cohort, n=108; validation cohort, n=42) with pathologically confirmed HCC. Clinical and imaging characteristics data were collected from Shengli Oilfield Central Hospital (Dongying, China). Univariate and multivariate logistic regression analyses were conducted to assess the association of clinical variables and MRI parameters with MVI (grade M1 and M2) and the M2 classification. Nomograms were developed based on the predictive factors of MVI and the M2 classification. The discrimination capability, calibration and clinical usefulness of the nomograms were evaluated. Multivariate analysis revealed an association between the Lens culinaris agglutinin-reactive fraction of α-fetoprotein, protein induced by vitamin K absence-II and tumor margin and MVI-positive status, while peritumoral enhancement and tumor size were demonstrated to be marginal predictors, but were also included in the nomogram. However, among MVI-positive patients, only peritumoral hypointensity and tumor size were demonstrated to be risk factors for the M2 classification. The nomograms, incorporating these variables, exhibited a strong ability to discriminate between MVI-positive and MVI-negative patients with HCC in both the training and validation cohort [area under the curve (AUC), 0.877 and 0.914, respectively] and good performance in predicting the M2 classification in the training and validation cohorts (AUC, 0.720 and 0.782, respectively). Nomograms incorporating clinical parameters and preoperative MRI features demonstrated promising potential as straightforward and effective tools for predicting MVI and the M2 classification in patients with HCC. Such predictive tools could aid in the judicious selection of optimal clinical treatments.

Protein profiles reveal MSH6/MSH2 as a potential biomarker for hepatocellular carcinoma with microvascular invasion

AIM

Microvascular invasion (MVI) is an independent risk factor for postoperative recurrence and metastasis in hepatocellular carcinoma (HCC). However, the specific protein expression profiles that differentiate HCC with MVI from those without MVI remain unclear.

METHODS

The profiles of proteins in early-stage HCC tissues and normal liver tissues were characterized by quantitative proteomics techniques. Immunohistochemical (IHC) staining was undertaken on tissue microarrays from 80 HCC patients to assess the expression of MSH2 and MSH6. Cell counting, colony formation, migration, and invasion assays were carried out in vitro.

RESULTS

We identified 5164 proteins in both HCC tissues and adjacent normal liver tissues. Compared to HCC without MVI, 148 upregulated proteins and 97 downregulated proteins were found in HCC with MVI. Particularly noteworthy was the remarkable upregulation of MSH6/MSH2 among these dysregulated proteins in HCC with MVI. Further validation through bioinformatics prediction and IHC confirmed the elevated expression of MSH6/MSH2, which correlated with aggressive disease characteristics and poor prognosis. Receiver operating characteristic curve analyses revealed a substantial area under the curve of 0.761 (specificity 71.79%, sensitivity 73.17%) for the combined use of MSH6/MSH2. Knockdown of MSH6/MSH2 significantly inhibited HCC cell proliferation and invasion in vitro.

CONCLUSIONS

Our study establishes MSH6 or MSH2 as an oncogene that is prominently overexpressed during HCC progression, which provides new targets for HCC with MVI.

Network meta-analysis of adjuvant treatments for patients with hepatocellular carcinoma after curative resection

PURPOSE

The prevention of recurrence for patients with hepatocellular carcinoma after curative resection is still a great challenge in clinical practice. There are numerous studies that trying to search for favorable strategies to decrease the recurrence and prolong life span for these patients, whereas no consensus is reached till now. Herein, we aim to compare the efficacy between different reported treatments by network meta-analysis(NMA).

METHODS

We searched Pubmed, Web of Science and Cochrane Library for abstracts and full-text articles published from database inception through February 2023. All of the random controlled trials(RCTs) were evaluated and collected as eligible studies. The primary outcome was the prevention of recurrence between different procedures. The second outcomes were one-year survival, three-year survival and five-year survival.

RESULTS

Thirty-two RCTs including 5783 patients were selected, and 12 treatments were classified. Most of the studies were high quality with low bias. Thirty-one studies including 5629 patients were recruited for recurrence analysis. The network meta-analysis showed benefits from transarterial chemoembolization(TACE) + portal vein chemotherapy(PVC)[OR, 2.84 (1.15,6.99)] and internal radiotherapy(IRT) [OR, 2.63 (1.41,4.91)] compared to non-adjuvant(NA) treatment when considering prevention of recurrence. Seventeen studies including 2047 patients were collected for one-year survival analysis. The network meta-analysis showed benefit from TACE[OR, 0.33 (0.14,0.75)] when considering one-year survival. Twenty-one studies including 2463 patients were collected for three-year survival analysis. The network meta-analysis showed TACE [OR, 0.51 (0.30,0.86)], IRT[OR, 0.41 (0.20,0.83)] and dendritic cell(DC) [OR, 0.09 (0.01,0.98)] were better than NA when considering three-year survival. Sixteen studies including 1915 patients were collected for five-year survival analysis. The network meta-analysis didn't show any benefit from different treatments when considering five-year survival. Other strategies including external radiotherapy(ERT), branched-chain amino acids(BCAA), hepatic artery infusion chemotherapy(HAIC), cytokine-induced killer(CIK), adoptive immunotherapy(AIT), Huaier, interferon(IFN), oral chemotherapy(OCT) and sorafenib(SOR) didn't show significant benefit regardless of prevention of recurrence or short-, long- time survival.

CONCLUSION

This NMA found that TACE + PVC and IRT were considered as the procedures to decrease HCC recurrence rate. TACE, IRT and DC were preferred when considering the extending of life span for post-operative patients with HCC. Large scale of RCTs are needed to verify it.

Revolutionising hepatocellular carcinoma surveillance: Harnessing contrast-enhanced ultrasound and serological indicators for postoperative early recurrence prediction

This study aimed to develop a noninvasive predictive model for identifying early postoperative recurrence of hepatocellular carcinoma (within 2 years after surgery) based on contrast-enhanced ultrasound and serum biomarkers. Additionally, the model's validity was assessedthrough internal and external validation. Clinical data were collected from patients who underwent liver resection at the First Hospital of Quanzhou and Mengchao Hepatobiliary Hospital. The data included general information, contrast-enhanced ultrasound parameters, Liver Imaging Reporting and Data System (LI-RADS) classification, and serum biomarkers. The data from Mengchao Hospital were divided into 2 groups, with a ratio of 6:4, to form the modeling and internal validation sets, respectively. On the other hand, the data from the First Hospital of Quanzhou served as the external validation group. The developed model was named the Hepatocellular Carcinoma Early Recurrence (HCC-ER) prediction model. The predictive efficiency of the HCC-ER model was compared with other established models. The baseline characteristics were found to be well-balanced across the modeling, internal validation, and external validation groups. Among the independent risk factors identified for early recurrence, LI-RADS classification, alpha-fetoprotein, and tumor maximum diameter exhibited hazard ratios of 1.352, 1.337, and 1.135 respectively. Regarding predictive accuracy, the HCC-ER, Tumour-Node-Metastasis, Barcelona Clinic Liver Cancer, and China Liver Cancer models demonstrated prediction errors of 0.196, 0.204, 0.201, and 0.200 in the modeling group; 0.215, 0.215, 0.218, and 0.212 in the internal validation group; 0.210, 0.215, 0.216, and 0.221 in the external validation group. Using the HCC-ER model, risk scores were calculated for all patients, and a cutoff value of 50 was selected. This cutoff effectively distinguished the high-risk recurrence group from the low-risk recurrence group in the modeling, internal validation, and external validation groups. However, the calibration curve of the predictive model slightly overestimated the risk of recurrence. The HCC-ER model developed in this study demonstrated high accuracy in predicting early recurrence within 2 years after hepatectomy. It provides valuable information for developing precise treatment strategies in clinical practice and holds considerable promise for further clinical implementation.