Study of predictive factors of complete response after chemoembolization for unresectable hepatocellular carcinoma in 162 patients

Association of serum AFP trajectories and hepatocellular carcinoma outcomes after hepatic arterial infusion chemotherapy: A longitudinal, multicenter study

AIM

This study aims to investigate α-fetoprotein (AFP) trajectories for prediction of survival outcomes after hepatic arterial infusion chemotherapy (HAIC) treatment in large hepatocellular carcinoma (HCC).

METHODS

From May 2014 to June 2020, 889 eligible patients with large HCC underwent HAIC were retrospectively enrolled from five hospitals. A latent class growth mixed (LCGM) model was applied to distinguish potential AFP level dynamic changing trajectories. Inverse-probability-of-treatment weighted (IPTW) analyses were performed to eliminate unmeasured confounders through marginal structural models. Multivariate Cox proportional hazard regression analyses were used to determine the overall survival (OS) in patients with large HCC. Performance of these serum markers for survival prediction was compared by areas under receiver operating characteristic analysis with the Delong test.

RESULTS

The median follow-up time was 23.7 (interquartile range, 3.8-115.3). A total of 1009 patients with large HCC, who underwent HAIC with AFP repeatedly measured 3-10 times, were enrolled in the study. Three distinct trajectories of these serum AFP were identified using the LCGM model: high stable (37.0%; n = 373), low stable (15.7%; n = 159), and sharp-falling (47.3%; n = 477). Multivariate Cox proportional hazard regression analyses found that ALBI stage 2-3, BCLC-C stage and high-stable AFP trajectories were associated with OS. AFP trajectories yield the optimal predictive performance in all risk factors.

CONCLUSIONS

The AFP trajectories based on longitudinal AFP change showed outstanding performance for predicting survival outcomes after HAIC treatment in large HCC, which provide a potential monitoring tool for improving clinical decision-making.

Dietary antioxidant quercetin overcomes the acquired resistance of Sorafenib in Sorafenib-resistant hepatocellular carcinoma cells through epidermal growth factor receptor signaling inactivation

Sorafenib (SOR) is a molecular targeting agent commonly utilized as a primary treatment for advanced and inoperable hepatocellular carcinoma (HCC). Regrettably, the effectiveness of SOR is frequently hindered by the resistance of multiple HCC cases. The current investigation endeavors to examine the potential of the natural product quercetin (QUE) in reversing the acquired resistance of SOR-resistant cells, known as Huh7R, to SOR. Moreover, this study aims to elucidate the underlying molecular mechanism that contributes to this phenomenon. The results demonstrated that QUE significantly impeded proliferation and stimulated apoptosis in Huh7R cells, while also suppressing the growth of transplanted tumors. The impact of QUE enhanced the efficacy of SOR treatment for Huh7R. Additionally, bioinformatic and western blot analyses indicated that the underlying mechanisms may be associated with EGFR tyrosine kinase inhibitor resistance, the PI3K-AKT signaling pathway, and HCC. Furthermore, molecular docking and dynamics simulation assays revealed that QUE exhibited strong affinity and stability towards its hub targets, EGFR and AKT1. It is noteworthy that the activation of EGFR by its ligand, EGF, mitigated the effects of co-treatment with QUE and SOR. These findings suggest that QUE might potentially serve as a therapeutic agent in treating as well as facilitating SOR against Huh7R cells, which has substantial clinical and research implications for the treatment of acquired resistance to SOR in HCC.

Segmental Distribution of Hepatocellular Carcinoma in Cirrhotic Livers

Background: To evaluate the segmental distribution of hepatocellular carcinoma (HCC) according to Couinaud’s anatomical division in cirrhotic patients. Methods: Between 2020 and 2021, a total of 322 HCC nodules were diagnosed in 217 cirrhotic patients who underwent computed tomography (CT) or magnetic resonance imaging (MRI) for the evaluation of suspicious nodules (>1 cm) detected during ultrasound surveillance. For each patient, the segmental position of the HCC nodule was recorded according to Couinaud’s description. The clinical data and nodule characteristics were collected. Results: A total of 234 (72.7%) HCC nodules were situated in the right lobe whereas 79 (24.5%) were detected in the left lobe (p < 0.0001) and only 9 nodules were in the caudate lobe (2.8%). HCC was most common in segment 8 (n = 88, 27.4%) and least common in segment 1 (n = 9, 2.8%). No significant differences were found in the frequencies of segmental or lobar involvement considering patient demographic and clinical characteristics, nodule dimension, or disease appearance. Conclusions: The intrahepatic distribution of HCC differs among Couinaud’s segments, with segment 8 being the most common location and segment 1 being the least common. The segmental distribution of tumour location was similar to the normal liver volume distribution, supporting a possible correlation between HCC location and the volume of hepatic segments and/or the volumetric distribution of the portal blood flow.

Predicting the Initial Treatment Response to Transarterial Chemoembolization in Intermediate-Stage Hepatocellular Carcinoma by the Integration of Radiomics and Deep Learning

Objectives

We aimed to develop radiology-based models for the preoperative prediction of the initial treatment response to transarterial chemoembolization (TACE) in patients with hepatocellular carcinoma (HCC) since the integration of radiomics and deep learning (DL) has not been reported for TACE.

Methods

Three hundred and ten intermediate-stage HCC patients who underwent TACE were recruited from three independent medical centers. Based on computed tomography (CT) images, recursive feature elimination (RFE) was used to select the most useful radiomics features. Five radiomics conventional machine learning (cML) models and a DL model were used for training and validation. Mutual correlations between each model were analyzed. The accuracies of integrating clinical variables, cML, and DL models were then evaluated.

Results

Good predictive accuracies were showed across the two cohorts in the five cML models, especially the random forest algorithm (AUC = 0.967 and 0.964, respectively). DL showed high accuracies in the training and validation cohorts (AUC = 0.981 and 0.972, respectively). Significant mutual correlations were revealed between tumor size and the five cML models and DL model (each P < 0.001). The highest accuracies were achieved by integrating DL and the random forest algorithm in the training and validation cohorts (AUC = 0.995 and 0.994, respectively).

Conclusion

The radiomics cML models and DL model showed notable accuracy for predicting the initial response to TACE treatment. Moreover, the integrated model could serve as a novel and accurate method for prediction in intermediate-stage HCC.

Investigation of the Physical Properties and Clinical Application of Embosphere Microspheres

BACKGROUND

The aim of this study was to understand physical characteristics of Embosphere microspheres for the clinical use of microsphere chemotherapy embolization of liver cancer.

METHODS

The morphology of Embosphere microspheres in different states, including static, oscillating, and in a magnetic field was observed with the naked eye. Ninety-five patients diagnosed with primary hepatocellular carcinoma (HCC) were separated into 3 groups based on the types of embolic material as follows: 32 cases of sole microspheres, 34 cases of iodinated oil (17 cases with additional application of gelatin sponge particle), and 29 cases of iodinated oil + Embosphere microspheres.

RESULTS

The diameter of the microspheres ranged from 100 to 300 μm, with a sedimentation rate υ = 0.0375 cm/s in physiological saline. The diameter of microspheres ranged from 300 to 500 μm, with a sedimentation rate υ = 0.1875 cm/s. The swelling rate of microspheres was 90%. Microspheres showed nondirectional movement in a 1.5- or 3.0-T magnetic field during magnetic resonance imaging. A volumetric ratio of 1:1.4-1:1.5 between microspheres and contrast agent resulted in optimal suspension properties. Microspheres appeared circular with a smooth surface upon water adsorption. Microsphere embolism was observable in blood vessels of pathological sections. The surface of microspheres can adsorb 5-fluorouracil and arsenic trioxide. There are statistically significant differences in local-regional tumor control conditions among patients treated with sole microspheres, iodinated oil, and iodinated oil + microspheres during transarterial chemoembolization.

CONCLUSIONS

Embosphere microspheres can be used to embolize patients with rupture and hemorrhage of HCC. Embosphere microsphere embolization is superior to iodinated oil and iodinated oil + microsphere for HCC.