Liver Cancer Survival: A Real World Observation of 45 Years with 32,556 Cases

Survival feature and trend of female breast cancer: A comprehensive review of survival analysis from cancer registration data

To better understand global patterns, chronological changes, and international comparisons of female breast cancer survival, we reviewed published data from population-based cancer registries worldwide. Using PubMed, Embase, Web of Science, SEER, and SinoMed, a comprehensive literature search was conducted for female breast cancer survival from the population-based cancer registries through 31 December 2023. Observed, relative, and net survival rates and their corresponding age-standardized survival rates since the 1990s were collected and further stratified by prognostic factors. The prognosis of female breast cancer patients was favorable, with 5-year relative survival rates above 80 % in most regions. The trend in breast cancer survival showed annual increases in most countries but was accompanied by geographical disparities. The highest age-standardized 5-year relative survival rate was identified in the USA (2010-2014) at 90.2 %, while the lowest was in India (2010-2014) at 66.1 %. Overall, North America and Oceania had the best survival, and, for Europe, survival was worst in Eastern Europe. The survival in some Asian countries was disturbing. Younger age groups had a better prognosis than those aged 75 years and over. The lowest survival rates were observed in patients with distant metastatic and triple-negative breast cancer. Worldwide, there has been a steady improvement in female breast cancer survival. However, the survival gap between developed and developing countries has remained wide over the past 30 years. Differences in age, stage at diagnosis, and molecular subtype may explain some of the disparities, providing evidence for targeted management strategies.

Computer-aided diagnosis of liver cancer with improved SegNet and deep stacking ensemble model

Liver cancer is a leading cause of cancer-related deaths, often diagnosed at advanced stages due to reliance on traditional imaging methods. Existing computer-aided diagnosis systems struggle with noise, anatomical complexity, and ineffective feature integration, leading to inaccuracies in lesion segmentation and classification. By effectively addressing these challenges, the model aims to enhance early detection and assist clinicians in making informed decisions. Ultimately, this research seeks to contribute to more efficient and accurate liver cancer diagnosis. This paper presents a novel model for liver cancer classification, called SegNet-based Liver Cancer Classification via SqueezeNet (SgN-LCC-SqN). The model effectively executes liver cancer segmentation and classification through four key steps: preprocessing, segmentation, feature extraction, and classification. During preprocessing, Quadratic Mean Estimated Wiener Filtering (QMEWF) is utilized to minimize image noise. Segmentation divides the image into segments using Enhanced Feature Pyramid SegNet (EFP-SgN), which is essential for precise diagnosis. Feature extraction encompasses color features, Local Directional Pattern Variance, and Correlation Filtering-Local Gradient Increasing Pattern (CF-LGIP) features. The extracted features are then processed through an ensemble model, Deep Convolutional, Recurrent, Long Short Term Memory with SqueezeNet (DCR-LSTM-SqN), which includes Deep Convolutional Neural Network (DCNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), and Modified Loss Function in SqueezeNet (MLF-SqN) classifiers, sequentially analyzing the feature sets through DCNN, RNN, and LSTM before classification by MLF-SqN. The performance of the suggested DCR-LSTM-SqN model is evaluated over conventional methods for positive, negative and other metrics. The DCR-LSTM-SqN model consistently demonstrates superior accuracy, ranging from 0.947 to 0.984, across all training data percentages. Thus, the proposed model effectively segments liver lesions and classifies cancerous areas, demonstrating its potential as a valuable resource for clinicians to enhance the efficiency and accuracy of liver cancer diagnosis.

mhealth-based interventions to improving liver cancer screening among high-risk populations: a study protocol for a randomized controlled trial

BACKGROUND

Liver cancer (LC) screening, such as AFP test and abdominal ultrasound, is an effective way to prevent LC, one of the most common cancers worldwide. Despite the proven screening benefits, screening participation among high-risk populations for LC remains low. This suggests that targeted, systematic, and effective interventions should be provided to improve knowledge and awareness related to LC screening, enhance screening intentions, and thereby promote screening behaviors. Telephone is people's main medium of daily communication and mHealth-based programs offer a potential and effective solution for promoting health behaviors. The purpose of this study is to develop and implement a mHealth (WeChat app) based intervention guided by Fogg's Behavior Model (FBM) to augment the knowledge of LC prevention among people at risk of LC and enhance their motivation for screening, and to validate its effectiveness in improving LC screening.

METHODS

We propose a two-arm, single-blind randomized controlled trial with 82 at-risk individuals of LC, delivering a 6-month mHealth-based intervention program with optional health counseling. Recruitment will be through tertiary hospitals and community organizations in 4 districts in Heng Yang. In total, 82 individuals at high risk for HCC will be randomized 1:1 to intervention or control (usual care) groups. The intervention group will receive intervention, whose contents are based on the FBM model, via multiple forms of media including PowerPoint presentation, multimedia video, health information booklet and screening message, which is delivered in the WeChat Applet. Control dyads will be provided with usual health education. Outcomes will be assessed at baseline and post-intervention.

DISCUSSION

The findings of this study will provide evidence of the benefits of utilizing mHealth-based approaches in intervention development to enhance the effectiveness of screening adherence for high-risk people of LC. Further, the findings would provide reference to the potential incorporation of the targeted intervention in local community organizations.

TRIAL REGISTRATION

Chinese Clinical Trial Registry (ChiCTR2400080530) Date registered: 31/1/2024.

Heterogeneity of hepatocellular carcinoma: from mechanisms to clinical implications

Hepatocellular Carcinoma (HCC) is one of the most common types of primary liver cancer. Current treatment options have limited efficacy against this malignancy, primarily owing to difficulties in early detection and the inherent resistance to existing drugs. Tumor heterogeneity is a pivotal factor contributing significantly to treatment resistance and recurrent manifestations of HCC. Intratumoral heterogeneity is an important aspect of the spectrum of complex tumor heterogeneity and contributes to late diagnosis and treatment failure. Therefore, it is crucial to thoroughly understand the molecular mechanisms of how tumor heterogeneity develops. This review aims to summarize the possible molecular dimensions of tumor heterogeneity with an emphasis on intratumoral heterogeneity, evaluate its profound impact on the diagnosis and therapeutic strategies for HCC, and explore the suitability of appropriate pre-clinical models that can be used to best study tumor heterogeneity; thus, opening new avenues for cancer treatment.

Principle active metabolites of Pinus morrisonicola Hayata synergistically inhibit cell proliferation and autophagy to elevate apoptosis in hepatocellular carcinoma cells

Hepatocellular carcinoma (HCC), a common primary tumor of liver is a leading cause of cancer-associated deaths. Improving cellular apoptosis and enhancing autophagic clearance is been considered to improve treatment outcomes of HCC. Polyphenols from Pinus morrisonicola (Hayata) have shown various physiological and therapeutic benefits and the flavonoid chrysin is been known for their anticancer effects. However, the main bioactive principle and the mechanism underlying the antitumor activity of pine needle extract are not clear yet. In this study, the effects of ethanol extract from pine needle on HCC cells were determined. The results show that when compared with administration of chrysin alone, a fraction containing pinocembrin, chrysin, and tiliroside significantly reduced autophagy and increased apoptosis. The results also correlated with decrease in cell cycle regulators and the autophagic proteins like LC3-II. Collectively, the results imply the fraction containing pinocembrin, chrysin, and tiliroside as an ideal complementary medicine for an effective antitumor activity.

Prediction of survival and analysis of prognostic factors for hepatocellular carcinoma: a 20-year of imaging diagnosis in Upper Northern Thailand

BACKGROUND

To evaluate survival rates of hepatocellular carcinoma (HCC), the Chiang Mai Cancer Registry provided characteristics data of 6276 HCC patients diagnosed between 1998-2020 based on evolution of imaging diagnosis. Evolution can be separated into four cohorts, namely, cohort 1 (1990-2005) when we had ultrasound (US) and single-phase computed tomography (CT), cohort 2 (2006-2009) when one multi-phase CT and one magnetic resonance imaging (MRI) were added, cohort 3 (2010-2015) when MRI with LI-RADS was added, and finally, cohort 4 (2016-2020) when two upgraded MRIs with LI-RADS were added.

METHODS

Cox proportional hazard models were used to determine the relation between death and risk factors including methods of imagining diagnosis, gender, age of diagnosis, tumor stages, history of smoking and alcohol-use, while Kaplan-Meier curves were used to calculate survival rates.

RESULTS

The median age of diagnosis was 57.0 years (IQR: 50.0-65.0) and the median survival time was 5.8 months (IQR: 1.9-26.8) during the follow-up period. In the univariable analysis, all factors were all associated with a higher risk of death in HCC patients except age of diagnosis. In a multivariable analysis, elderly age at diagnosis, regional and metastatic stages and advanced methods of imagining diagnosis during cohorts 2 and 3 were independently associated with the risk of death in HCC patients. The survival rate of patients diagnosed during cohort 4 was significantly higher than the other cohorts.

CONCLUSION

As a significantly increasing survival rate of HCC patients in cohort 4, advanced methods of diagnostic imaging can be a part of the recommendation to diagnose HCC.

Recent advances in 3D bioprinted tumor models for personalized medicine

Cancerous tumors are among the most fatal diseases worldwide, claiming nearly 10 million lives in 2020. Due to their complex and dynamic nature, modeling tumors accurately is a challenging task. Current models suffer from inadequate translation between in vitro and in vivo results, primarily due to the isotropic nature of tumors and their microenvironment's relationship. To address these limitations, hydrogel-based 3D bioprinting is emerging as a promising approach to mimic cancer development and behavior. It provides precise control over individual elements' size and distribution within the cancer microenvironment and enables the use of patient-derived tumor cells, rather than commercial lines. Consequently, hydrogel bioprinting is expected to become a state-of-the-art technique for cancer research. This manuscript presents an overview of cancer statistics, current modeling methods, and their limitations. Additionally, we highlight the significance of bioprinting, its applications in cancer modeling, and the importance of hydrogel selection. We further explore the current state of creating models for the five deadliest cancers using 3D bioprinting. Finally, we discuss current trends and future perspectives on the clinical use of cancer modeling using hydrogel bioprinting.

Review of the Application of Dual Drug Delivery Nanotheranostic Agents in the Diagnosis and Treatment of Liver Cancer

Liver cancer has high incidence and mortality rates and its treatment generally requires the use of a combination treatment strategy. Therefore, the early detection and diagnosis of liver cancer is crucial to achieving the best treatment effect. In addition, it is imperative to explore multimodal combination therapy for liver cancer treatment and the synergistic effect of two liver cancer treatment drugs while preventing drug resistance and drug side effects to maximize the achievable therapeutic effect. Gold nanoparticles are used widely in applications related to optical imaging, CT imaging, MRI imaging, biomarkers, targeted drug therapy, etc., and serve as an advanced platform for integrated application in the nano-diagnosis and treatment of diseases. Dual-drug-delivery nano-diagnostic and therapeutic agents have drawn great interest in current times. Therefore, the present report aims to review the effectiveness of dual-drug-delivery nano-diagnostic and therapeutic agents in the field of anti-tumor therapy from the particular perspective of liver cancer diagnosis and treatment.

An overview of the past decade of bufalin in the treatment of refractory and drug-resistant cancers: current status, challenges, and future perspectives

Profound progress has been made in cancer treatment in the past three decades. However, drug resistance remains prevalent and a critical challenge. Drug resistance can be attributed to oncogenes mutations, activated defensive mechanisms, ATP-bind cassette transporters overexpression, cancer stem cells, etc. Chinese traditional medicine toad venom has been used for centuries for different diseases, including resistant cancers. Bufalin is one of the bufadienolides in toad venom that has been extensively studied for its potential in refractory and drug-resistant cancer treatments in vitro and in vivo. In this work, we would like to critically review the progress made in the past decade (2013-2022) of bufalin in overcoming drug resistance in cancers. Generally, bufalin shows high potential in killing certain refractory and resistant cancer cells via multiple mechanisms. More importantly, bufalin can work as a chemo-sensitizer that enhances the sensitivity of certain conventional and targeted therapies at low concentrations. In addition, the development of bufalin derivatives was also briefly summarized and discussed. We also analyzed the obstacles and challenges and provided possible solutions for future perspectives. We hope that the collective information may help evoke more effort for more in-depth studies and evaluation of bufalin in both lab and possible clinical trials.

Idarubicin versus epirubicin in drug-eluting beads-transarterial chemoembolization for treating hepatocellular carcinoma: A real-world retrospective study

The purpose of this study was to compare the efficacy and safety of idarubicin-loaded drug-eluting beads-transarterial chemoembolization (IDA-TACE) and epirubicin-loaded drug-eluting beads-TACE (EPI-TACE) in treating hepatocellular carcinoma (HCC). All patients with HCC treated with TACE in our hospital between June 2020 and January 2022 were screened. The included patients were divided into the IDA-TACE group and EPI-TACE group to compare overall survival (OS), time to progression (TTP), objective response rate (ORR), and adverse events. There were 55 patients each in the IDA-TACE and EPI-TACE groups. Compared with the EPI-TACE group, the median TTP in the IDA-TACE group was not significantly different (10.50 vs. 9.23 months; HR 0.68; 95% CI 0.40-1.16; P = 0.154), whereas the survival status in the IDA-TACE group tended to be better (neither achieved; HR 0.47; 95% CI 0.22-1.02; P = 0.055). Based on the Barcelona Clinic Liver Cancer staging system for subgroup analysis, considering stage C patients, the IDA-TACE group performed significantly better in terms of ORR (77.1% vs. 54.3%, P = 0.044), median TTP (10.93 vs. 5.20 months; HR 0.46; 95% CI 0.24-0.89; P = 0.021), and median OS (not achieved vs. 17.80 months; HR 0.41; 95% CI 0.18-0.93; P = 0.033). Considering stage B patients, there were no significant differences between the IDA-TACE and EPI-TACE groups in terms of ORR (80.0% vs. 80.0%, P = 1.000), median TTP (10.20 vs. 11.2 months; HR 1.41; 95% CI 0.54-3.65; P = 0.483), or median OS (neither achieved, HR 0.47; 95% CI 0.04-5.24; P = 0.543). Notably, leukopenia was more common in the IDA-TACE group (20.0%, P = 0.052), and fever was more common in the EPI-TACE group (49.1%, P = 0.010). IDA-TACE was more effective than EPI-TACE in treating advanced-stage HCC and comparable in treating intermediate-stage HCC.

New indexes derived from routine blood tests and their clinical application in hepatocellular carcinoma

Considerable efforts have been made in the diagnosis and treatment of hepatocellular carcinoma (HCC), but the prognosis of patients with HCC remains poor. The development of officious and easy-to-use indicators that are applicable to all levels of hospitals for the diagnosis, prognosis and risk prediction of HCC may play an important role in improving the current undesirable situation. The occurrence of HCC can cause a series of local and systemic changes, involving liver function, inflammation, immunity, and nutrition, which can be reflected in routine clinical indicators, especially laboratory metrics. A comprehensive analysis of these routine indicators is capable of providing important information for the clinical management of HCC. Routine clinical indicators are daily medical data that are readily available, easily repeatable, and highly acceptable, which has attracted clinicians to derive a number of comprehensive indexes from routine clinical indicators by means of four arithmetic operations, scoring system, and mathematical modeling. These indexes integrate several clinical indicators into a new single indicator that performs better than any of original individual indicators in the risk prediction, clinical diagnosis and prognostic evaluation of HCC and is easy to use. Herein, we reviewed recent indexes derived from routine clinical indicators for the diagnosis, prognosis and risk prediction of HCC.

Neutrophil-to-Lymphocyte Ratio Can Distinguish Patients with Liver Cirrhosis from Healthy People but Cannot Distinguish Patients with Cirrhotic Hepatocellular Carcinoma from Patients with Liver Cirrhosis

PURPOSE

Identifying cirrhotic hepatocellular carcinoma (HCC) during liver cirrhosis (LC) stage is pivotal for improving the clinical outcomes of cirrhotic HCC patients. Inflammation-driven markers play a crucial role in tumorigenesis and tumor progression. Neutrophil-to-lymphocyte ratio (NLR) is an inflammatory response marker. This study aimed to evaluate the ability of NLR to distinguish cirrhotic HCC from LC.

METHODS

Data of healthy control (HC) people, LC patients, cirrhotic HCC patients, and non-cirrhotic HCC patients were retrospectively analyzed. Mann-Whitney U test and Chi-squared test were used to compare demographic and clinical parameters in different groups. Spearman correlation analysis was used to assess correlations. Receiver operating characteristic (ROC) curves were performed to determine diagnostic accuracy.

RESULTS

A total of 419 participants were enrolled in this study, including 152 HC people, 131 LC patients, 96 cirrhotic HCC patients, and 40 non-cirrhotic HCC patients. Level of NLR was elevated significantly in LC compared with HC (P < 0.001). No significant differences were found for NLR between LC and cirrhotic HCC (P = 0.083), as well as between cirrhotic HCC and non-cirrhotic HCC (P = 0.729). NLR was positively correlated with platelet-to-lymphocyte ratio (r = 0.33, P < 0.001). The area under the ROC curve (AUC) value for NLR to distinguish LC from HC was 0.759 (P < 0.001), and AUC value to distinguish cirrhotic HCC from LC was 0.567 (P = 0.083), and AUC value to distinguish non-cirrhotic HCC from cirrhotic HCC was 0.519 (0.415-0.623) (P = 0.729).

CONCLUSION

NLR can distinguish LC from HC but cannot not distinguish cirrhotic HCC from LC.

Novel Ultrasensitive Photoelectrochemical Cytosensor Based on Hollow CdIn2S4/In2S3 Heterostructured Microspheres for HepG2 Cells Detection and Inhibitor Screening

Hepatocellular carcinoma is a life-threatening malignant tumor found around the world for its high morbidity and mortality. Therefore, it is of great importance for sensitive analysis of liver cancer cells (HepG2 cells) in clinical diagnosis and biomedical research. To fulfill this demand, hollow CdIn₂S₄/In₂S₃ heterostructured microspheres (termed CdIn₂S₄/In₂S₃ for clarity) were prepared by a two-step hydrothermal strategy and applied for building a novel photoelectrochemical (PEC) cytosensor for ultrasensitive and accurate detection of HepG2 cells through specific recognition of CD133 protein on the cell surface with the respective aptamer. The optical properties of CdIn₂S₄/In₂S₃ were investigated by UV-vis diffuse reflectance spectroscopy (DRS) and PEC technology. By virtue of their appealing PEC characteristics, the resultant PEC sensor exhibited a wider dynamic linear range from 1 × 10² to 2 × 10⁵ cells mL^-1 with a lower limit of detection (LOD, 23 cells mL^-1), combined by evaluating the expression level of CD133 protein stimulated by metformin as a benchmarked inhibitor. This work opens a valuable and feasible avenue for sensitive detection of diverse tumor cells, holding great potential in early clinical diagnosis and treatment coupled by screening inhibitors.

Using Period Analysis to Timely Assess and Predict 5-Year Relative Survival for Liver Cancer Patients From Taizhou, Eastern China

Introduction

While timely assessment of long-term survival for patients with liver cancer is essential for the evaluation of early detection and screening programs of liver cancer, those data are extremely scarce in China. We aimed to timely and accurately assess long-term survival for liver cancer patients in eastern China.

Methods

Patients diagnosed with liver cancer during 2004–2018 from four cancer registries with high-quality data from Taizhou, eastern China, were included. The period analysis was used to calculate the 5-year relative survival (RS) for overall and the stratification by sex, age at diagnosis, and region. The projected 5-year RS of liver cancer patients during 2019–2023 was also assessed using a model-based period analysis.

Results

The overall 5-year RS for patients with liver cancer during 2014–2018 reached 32.4%, being 29.3% for men and 36.1% for women. The 5-year RS declined along with aging, decreasing from 38.2% for age <45 years to 18.8% for age >74 years, while the 5-year RS for urban area was higher compared to rural area (36.8% vs. 29.3%). The projected overall 5-year RS of liver cancer patients could reach 41.4% during the upcoming period 2019–2023.

Conclusions

We provided, for first time in China using the period analysis, the most up-to-date 5-year RS for patients with liver cancer from Taizhou, eastern China, and also found that the 5-year RS for liver cancer patients have improved greatly during 2004–2018, which has important implications for the timely evaluation of early detection and screening programs for patients with liver cancer in eastern China.

An Analysis of Microwave Ablation Parameters for Treatment of Liver Tumors from the 3D-IRCADb-01 Database

Simulation techniques are powerful tools for determining the optimal conditions necessary for microwave ablation to be efficient and safe for treating liver tumors. Owing to the complexity and computational resource consumption, most of the existing numerical models are two-dimensional axisymmetric models that emulate actual three-dimensional cancers and the surrounding tissue, which is often far from reality. Different tumor shapes and sizes require different input powers and ablation times to ensure the preservation of healthy tissues that can be determined only by the full three-dimensional simulations. This study aimed to tailor microwave ablation therapeutic conditions for complete tumor ablation with an adequate safety margin, while avoiding injury to the surrounding healthy tissue. Three-dimensional simulations were performed for a multi-slot microwave antenna immersed in two tumors obtained from the 3D-IRCADb-01 liver tumors database. The temperature dependence of the dielectric and thermal properties of healthy and tumoral liver tissues, blood perfusion, and water content are crucial for calculating the correct ablation time and, thereby, the correct ablation process. The developed three-dimensional simulation model may help practitioners in planning patient-individual procedures by determining the optimal input power and duration of the ablation process for the actual shape of the tumor. With proper input power, necrotic tissue is placed mainly in the tumor, and only a small amount of surrounding tissue is damaged.

Development and Validation of a Novel Model to Predict Regional Lymph Node Metastasis in Patients With Hepatocellular Carcinoma

Background

The evaluation of the nodal status of hepatocellular carcinoma (HCC) is a classic but controversial topic. This study aimed to investigate the incidence of lymph node metastasis (LNM), explore the role of lymph node dissection (LND), and develop and validate a novel model to predict LNM in patients with HCC, not other specified (NOS).

Methods

The study cohort was taken from the Surveillance, Epidemiology, and End Results database. The annual percent change (APC) was calculated using the Joinpoint regression. Survival analyses adopted the competing risk model. The nomogram was constructed based on the least absolute shrinkage and selection operator (LASSO) logistic regression algorithm and validated by calibration curves. The area under the receiver operating characteristic curve (AUROC) was obtained to compare prognostic performance. Decision curve and clinical impact curve analyses were introduced to examine the clinical value of the models.

Results

A total of 8,829 patients were finally enrolled in this study, and 1,346 (15.2%) patients received LND. The LND rate showed no noticeable fluctuation in the last decade, with an APC of 0.5% (P=0.593). LNM was identified in 56 (4.2%) patients and confirmed an independent prognostic factor of HCC patients (P=0.005). There were 2,497 lymph nodes retrieved, and 93 (3.7%) of them were positive. After propensity score matching, LND indicated no direct oncologic benefit and did not worsen competing risks. Moreover, an increased number of lymph nodes retrieved could not improve prognoses. 1,346 patients with LND were further randomly divided into the training and validation sets with the ratio of 1:1. Race, tumor size, clinical T stage, extrahepatic bile duct invasion, and tumor grade were independent risk factors for LNM. The constructed model was well calibrated and showed good discrimination power and net benefits in clinical practice.

Conclusion

LNM is an independent prognostic factor in HCC, but routine LND seems to be unnecessary in HCC patients. The constructed model could predict the presence of LNM in HCC patients with good performance, which is meaningful to patient stratification and individual treatment strategies optimization.