Liver Cancer Screening Research Articles

Abstract A050: Early detection of liver cancer from diverse populations using cfDNA fragmentome and protein biomarkers

Abstract Hepatocellular carcinoma (HCC) is a leading cause of cancer death world-wide. In the US, liver cancer has increased in incidence and mortality due to a growing population from South and Central America, which faces higher risk of disease in part due to aflatoxin exposure. Recently, we showed that the DELFI (DNA evaluation of fragments for early interception) approach using genome-wide cell free DNA (cfDNA) fragmentation profiles and machine learning can be used for detection of liver and other cancers. Having previously demonstrated that a DELFI classifier accurately detects HCC in populations from the US and Hong Kong, we evaluated the classifier in other clinically relevant cohorts worldwide. Here we show that approach generalizes to diverse populations, and that including other genomic and protein features from the same blood draw improves performance. We examined plasma samples from 377 individuals, including 244 individuals with HCC and 133 without cancer, including 85 with cirrhosis. Plasma samples were collected from individuals with or without HCC in a case-control study in Guatemala (n=203) and from a prospective collection in Romania (n=174) and cfDNA was analyzed by whole- genome sequencing at ∼10x coverage. The median DELFI scores using a locked classifier (Foda et al., Cancer Discovery, 2023) were higher in both cohorts for patients with cancer across all stages compared to individuals without cancer, regardless of the presence of cirrhosis. Using the locked model with a threshold that corresponded to 80% specificity in prior work, DELFI detected individuals with HCC with sensitivities of 90% and 69% in the two cohorts at specificities of 92% and 86%, respectively. For early-stage HCC within Milan Criteria for liver transplantation, sensitivities were 85% in the case-control cohort and 64% in the prospective cohort. In these cohorts, the fixed DELFI model outperformed AFP at the clinically used threshold of 20 ng/mL with a sensitivity in the combined cohorts of 78% at 91% specificity, compared to 63% sensitivity at 91% specificity for AFP. A combined approach using either DELFI at a threshold that corresponded to a 90% specificity in our previous study or AFP at the clinical threshold resulted in 82% sensitivity (74% in early stage) at 92% specificity and was superior to estimates of AFP and ultrasound for early-stage disease (63% sensitivity at 84% specificity). Individuals who tested positive with DELFI had a significantly shorter overall survival (p=0.002, log rank test), even amongst individuals at the earliest stage, while AFP alone did not stratify survival for patients with early-stage disease. Single-molecule analyses from low coverage WGS of cfDNA revealed genome-wide mutational profiles that were similar to those of HCC and in individuals from Guatemala that were characteristic of aflatoxin exposure. Overall, this work provides insight into the origins of cfDNA in populations at risk for HCC and validates our genome-wide fragmentome approach for non-invasive cancer detection that may facilitate liver cancer screening. Citation Format: Zachariah H Foda, Daniel Bruhm C Bruhm, Akshaya V Annapragada, Shashikant Koul, Sarah Short, Keerti Boyapati, Adrianna Bartolomucci, Vilmos Adleff, Nicholas A Vulpescu, Hope Orjuela, Andrei Sorop, Razvan Iacob, Liana Gheorghe, Simona Dima, Katherine A McGlynn, Manuel Ramírez-Zea, Jillian Phallen, John Groopman, Robert B Sharpf, Victor E Velculescu. Early detection of liver cancer from diverse populations using cfDNA fragmentome and protein biomarkers [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A050.

Causal relationship between gout and liver cancer: A Mendelian randomization and transcriptome analysis

Gout is an inflammatory arthritis resulting from urate crystal deposition, now recognized as part of metabolic syndrome. Hyperuricemia, a hallmark of gout, is associated with various health complications, including liver cancer. Observational studies indicate a link between gout and increased cancer incidence. However, the causal relationship between gout and hepatocellular carcinoma remains uncertain. This study utilizes Mendelian randomization (MR) to explore this connection, minimizing confounding factors commonly present in observational studies. Genome-wide association study data for gout and liver cancer were sourced from the UK Biobank. We selected single nucleotide polymorphisms that are strongly associated with gout and liver cancer as instrumental variables for the analysis. We conducted 2-sample MR analysis using multiple MR methods (MR-Egger, weighted median, inverse variance weighting, and weighted mode) to evaluate causality. Co-localization and transcriptomic analyses were employed to identify target genes and assess their expression in hepatocellular carcinoma tissues. The 2-sample MR analysis indicated a significant causal relationship between gout and heightened liver cancer risk (P_IVW = .014). Co-localization analysis identified phosphatidylethanolamine N-methyltransferase (PEMT) as a crucial gene associated with gout (pH4 = 0.990). Transcriptomic data showed that PEMT expression was significantly higher in normal liver tissues compared to malignant samples (P < .001), and higher PEMT levels correlated with improved survival outcomes (P = .045). Immunohistochemical analysis revealed lower PEMT expression in hepatocellular carcinoma from patients with concurrent gout compared to those without (P < .05). The results indicate that gout increases the risk of hepatocellular carcinoma, with PEMT potentially playing a key role. Although this study focused on European populations, indicating a need for further research in diverse groups, the results emphasize the potential for liver cancer screening in newly diagnosed gout patients. Understanding the relationship between these conditions may inform future clinical practices and cancer prevention strategies.

National Liver Cancer Screening Trial (TRACER) study protocol.

Professional guidelines recommend HCC screening in at-risk patients using semi-annual ultrasound with or without alpha-fetoprotein (AFP); however, this strategy has limited effectiveness due to low adherence and sensitivity. Increasing data support the potential role of blood-based biomarker panels, which could improve both aspects. The biomarker panel GALAD, comprised of sex, age, and 3 blood biomarkers (AFP, AFP-L3, and des-carboxy prothrombin des-carboxy prothrombin), has shown high sensitivity and specificity in biomarker phase II (case-control) and phase III (retrospective cohort) validation studies. However, prospective validation in a large phase IV biomarker clinical utility trial is necessary before its adoption in practice. The National Liver Cancer Screening Trial is an adaptive pragmatic randomized phase IV trial, which began enrollment in January 2024, comparing ultrasound-based versus biomarker-based screening in 5500 patients with chronic hepatitis B infection or cirrhosis from any etiology. Eligible patients are randomly assigned in a 1:1 ratio to semi-annual screening with ultrasound ± alpha-fetoprotein (arm A) or semi-annual screening with GALAD (arm B). Randomization is stratified by enrollment site, liver disease severity (per Child-Pugh class), liver disease etiology (viral, nonviral, and noncirrhotic HBV), and sex. Patients are being recruited from 15 sites (a mix of tertiary care academic referral centers, safety-net health systems, and large community health systems) over a 3-year period, and the primary endpoint, reduction in late-stage HCC, will be assessed at the end of year 5.5. The results of this trial will inform the best strategy for HCC screening and early-stage detection in patients with chronic liver diseases. If GALAD shows superiority, HCC screening would primarily shift from an ultrasound-based strategy to the adoption of the biomarker panel. NCT06084234. The TRACER Study is actively enrolling.

Epidemiological and clinical characteristics of hepatocellular carcinoma in Xiamen

ObjectiveTo investigate the epidemiological characteristics of hepatocellular carcinoma in Xiamen and offer recommendations for its control and prevention. Methods: Data obtained from liver cancer screening in 2016–2018 and 2019–2020 in patients with hepatocellular carcinoma in Xiamen were collected using Xiamen Healthcare Big Data Platform. Epidemiological characteristics were analyzed descriptively by different years. Results: From 2016–2020, there were 3740 patients with hepatocellular carcinoma in Xiamen. In the patients, the percentage of males was higher than that of females (83.13 % vs 16.87 %). From 2019–2020, there was an increase in the detection rates for disorders including hepatitis B, hypertension, diabetes, fatty liver and cirrhosis of the liver, and there was a decrease in the prevalence of hepatitis C. There was an increase in the values of all hematological indicators of infection in patients with liver cancer in 2019–2020 compared with the previous three years. From 2016–2020, there was a year-on-year increase in the prevalence of liver cancer and fatty liver. From 2018–2020, there was an increasing trend in the prevalence of liver cancer in overweight patients in the population with fatty liver. Conclusion: In 2019–2020, there was an increase in the prevalence of chronic diseases in patients with hepatocellular carcinoma. Comprehensive liver cancer screening provides an important guide for the prevention, early diagnosis and treatment of liver cancer and for clinicians to assess patients’ condition.

Glycerophospholipid-driven lipid metabolic reprogramming as a common key mechanism in the progression of human primary hepatocellular carcinoma and cholangiocarcinoma

Metabolic reprogramming, a key mechanism regulating the growth and recurrence of hepatocellular carcinoma (HCC) and cholangiocarcinoma (CCA), still lacks effective clinical strategies for its integration into the precise screening of primary liver cancer. This study utilized ultra-high-performance liquid chromatography with quadrupole time-of-flight mass spectrometry to conduct a comprehensive, non-targeted metabolomics analysis, revealing significant upregulation of lipid metabolites such as phosphatidylcholine and lysophosphatidylcholine in patients with HCC and CCA, particularly within the glycerophospholipid metabolic pathway. Hematoxylin and eosin and immunohistochemical staining demonstrated marked upregulation of phospholipase A2 in tumor tissues, further emphasizing the potential of lipid metabolism as a therapeutic target and its important part in the course of cancer. This work provides a new viewpoint for addressing the clinical challenges associated with HCC and CCA, laying the groundwork for the broad application of early diagnosis and personalized treatment strategies, and ultimately aiming to provide tailored and precise therapeutic options for patients.

Abstract B074: Qualitative assessment of knowledge gaps and barriers to Hepatitis B and liver cancer screening in high-risk U.S. communities

Abstract Background: Up to 2.4 million people in the US live with chronic hepatitis B (HBV) infection (Wong et al., 2021). Foreign-born communities are most impacted, particularly those from Asia, the Pacific Islands, the Caribbean, and sub-Saharan Africa (Conners et al., 2023). Individuals with unmanaged HBV have a 15-40% lifetime risk of dying prematurely from cirrhosis or hepatocellular carcinoma (HCC) (McMahon, 2009). Low awareness, cultural norms, and misperceptions about HBV, HCC, and their connection contribute to low screening and care rates in affected communities. A more robust and comprehensive understanding of these barriers is needed to design effective awareness campaigns to improve HBV screening and care and prevent HCC. To this end, this study aimed to learn about existing knowledge and misconceptions about HBV and its relationship to HCC in high-risk communities, identify barriers to screening, and use the findings to develop effective communication strategies that raise awareness and dispel myths. Methods: Fifteen focus groups and two key informant interviews with community members, leaders, and public health experts were conducted to assess beliefs and attitudes about HBV and HCC and to identify preferred communication strategies. Results: The link between HBV and HCC remains poorly understood, and myths persist about the transmission and outcomes of both conditions. Multiple barriers to HBV and HCC screening exist, including concerns about insurance and immigration status, language barriers, cultural and religious beliefs, lack of general health literacy, lack of resources to cope with a positive diagnosis, widespread distrust of Western medicine, and fear of stigma and isolation. Ideas for effective communication methods included employing community health educators, primary care providers, ethnic media outlets and personal testimonials for delivery of information, and tailoring communications by community, age, and gender. These findings were used to create a suite of culturally and linguistically appropriate educational materials for use in each of twelve communities. Conclusions: Many challenges to increasing screening persist in groups most impacted by HBV and HCC, including a need for increased awareness about their connection. Community engagement is essential to overcoming these challenges, as are specific, targeted messaging and dissemination to improve the uptake of HBV screening and management. Behavioral and Social Science: Community-based Participatory Research Citation Format: Beatrice Zovich, Fiona Borondy-Jenkins, Suzanne Block, Kate Moraras, Thomas Chen, Chari Cohen. Qualitative assessment of knowledge gaps and barriers to Hepatitis B and liver cancer screening in high-risk U.S. communities [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B074.

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

BackgroundLiver 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.MethodsWe 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.DiscussionThe 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 registrationChinese Clinical Trial Registry (ChiCTR2400080530) Date registered: 31/1/2024.

Artificial intelligence for ultrasonographic detection and diagnosis of hepatocellular carcinoma and cholangiocarcinoma

The effectiveness of ultrasonography (USG) in liver cancer screening is partly constrained by the operator’s expertise. We aimed to develop and evaluate an AI-assisted system for detecting and classifying focal liver lesions (FLLs) from USG images. This retrospective study incorporated 26,288 USG images from 5444 patients to train YOLOv5 model for FLLs detection and classification of seven different types of FLLs, including hepatocellular carcinoma (HCC), cholangiocarcinoma (CCA), focal fatty infiltration, focal fatty sparing (FFS), cyst, hemangioma, and regenerative nodules. AI model performance was assessed for detection and diagnosis of the FLLs on a per-image and per-lesion basis. The AI achieved an overall FLLs detection rate of 84.8% (95%CI:83.3–86.4), with consistent performance for FLLs ≤ 1 cm and > 1 cm. It also exhibited sensitivity and specificity for distinguishing malignant FLLs from other benign FLLs at 97.0% (95%CI:95. 9–98.2) and 97.0% (95%CI:95.9–98.1), respectively. Among specific FLL types, CCA detection rate was at 92.2% (95%CI:88.0–96.4), followed by FFS at 89.7% (95%CI:87.1–92.3), and HCC at 82.3% (95%CI:77.1–87.5). The specificities and NPVs for regenerative nodules were 100% and 99.9% (95%CI:99.8–100.0), respectively. Our AI model can potentially assist physicians in FLLs detection and diagnosis during USG examinations. Further external validation is needed for clinical application.

Effect of calcium concentration on metastasis of hepatocellular carcinoma cells cultured in alginate gel beads

Changes in sodium alginate and calcium ion concentrations have a considerable impact on the structural properties of calcium alginate gel (ALG) beads, consequently influencing the biological characteristics of the cells encapsulated within them. This study aimed to examine the effects of calcium on the metastatic potential of hepatocellular carcinoma (HCC) cells encapsulated in ALG beads. The results showed that the invasion ability of HCC cells significantly increased when they were encapsulated in beads prepared with a calcium concentration of 200 mM compared to those prepared with a calcium concentration of 50 mM. Furthermore, the expression levels of genes related to metastasis were significantly elevated in ALG beads prepared with a calcium concentration of 200 mM. Specifically, the expression of activated matrix metalloproteinase 2 (MMP2), matrix metalloproteinase 9 (MMP9), and urokinase-type plasminogen activator system proteins was found to be high. Conversely, the expression of phosphatase and tensin homolog deleted on chromosome 10 was observed to be significantly reduced. These findings indicate that manipulating the calcium ion concentration during the fabrication of ALG beads enables the generation of three-dimensional HCC cells with varying metastatic capacities. This model offers a valuable tool for investigating the mechanisms underlying liver cancer metastasis and screening potential therapeutic drugs.

Nanobody-enhanced split-luciferase technology for innovative detection of the liver cancer biomarker alpha-fetoprotein

Liver cancer is one of the most common cancers and the third leading cause of cancer deaths worldwide. Diagnosis and screening for liver cancer rely on the alpha-fetoprotein (AFP) biomarker. This study aimed to pioneer a novel assay for AFP detection utilizing a tri-part split-luciferase system in conjunction with nanobodies targeting AFP. The strategy involved fusing anti-AFP nanobodies P5 and P15 to the split-nanoluciferase components β9 and β10, respectively. Upon binding to AFP and in the presence of the third nanoluciferase component Δ11S, the proximity-induced reassembly of split-nanoluciferase components triggers luciferase activation and luminescence emission. Following expression in a bacterial system, purification, and assay implementation, the developed assay exhibited high sensitivity in detecting AFP within a linear range of 1–20 ng/ml, with a Limit of Detection (LOD) of 0.5 ng/ml. The assay results were in line with those obtained from ELISA, indicating its efficiency. This study highlights the specificity of the homogenous assay developed with nanobodies for AFP, offering a reliable and user-friendly test for AFP detection.

Genetic screening of liver cancer: State of the art.

Liver cancer, primarily hepatocellular carcinoma, remains a global health challenge with rising incidence and limited therapeutic options. Genetic factors play a pivotal role in the development and progression of liver cancer. This state-of-the-art paper provides a comprehensive review of the current landscape of genetic screening strategies for liver cancer. We discuss the genetic underpinnings of liver cancer, emphasizing the critical role of risk-associated genetic variants, somatic mutations, and epigenetic alterations. We also explore the intricate interplay between environmental factors and genetics, highlighting how genetic screening can aid in risk stratification and early detection via using liquid biopsy, and advancements in high-throughput sequencing technologies. By synthesizing the latest research findings, we aim to provide a comprehensive overview of the state-of-the-art genetic screening methods for liver cancer, shedding light on their potential to revolutionize early detection, risk assessment, and targeted therapies in the fight against this devastating disease.

Survey of hepatitis B virus infection for liver cancer screening in China: A population-based, cross-sectional study.

Hepatitis B virus (HBV) infection is the primary cause of hepatocellular carcinoma (HCC) in China. The target population for HCC screening comprises individuals who test positive for hepatitis B surface antigen (HBsAg). However, current data on the prevalence of HBV infection among individuals who are eligible for HCC screening in China are lacking. We aimed to assess the seroepidemiology of HBV infection among Chinese individuals eligible for HCC screening to provide the latest evidence for appropriate HCC screening strategies in China. Questionnaires including information of sex, age, ethnicity, marital status, educational level, source of drinking water, as well as smoking and alcohol consumption history and serum samples were collected from females aged 45-64 years and males aged 35-64 years in 21 counties from 4 provinces in eastern and central China between 2015 and 2023. Enzyme-linked immunosorbent assay methods were used to detect the serum HBV marker HBsAg. A total of 603,082 individuals were enrolled, and serum samples were collected for analysis from January 1, 2015 to December 31, 2023. The prevalence of HBsAg positive in the study population was 5.23% (31,528/603,082). The prevalence of HBsAg positive was greater in males than in females (5.60% [17,660/315,183] vs . 4.82% [13,868/287,899], χ 2 =187.52, P <0.0001). The elderly participants exhibited a greater prevalence of HBV infection than younger participants (χ 2 =41.73, P <0.0001). Birth cohort analysis revealed an overall downward trend in HBV prevalence for both males and females. Individuals born in more recent cohorts exhibited a lower prevalence of HBV infection as compared to those born earlier. The current prevalence of HBV infection remains above 5% in populations eligible for HCC screening in China. Further efforts should be made to increase the accessibility of HCC screening among individuals with HBV infection.

Cholangiocarcinoma and Occupational Exposure to Asbestos: Insights From the Italian Pooled Cohort Study.

Recent studies supported the association between occupational exposure to asbestos and risk of cholangiocarcinoma (CC). Aim of the present study is to investigate this association using an update of mortality data from the Italian pooled asbestos cohort study and to test record linkage to Cancer Registries to distinguish between hepatocellular carcinoma (HCC) and intrahepatic/extrahepatic forms of CC. The update of a large cohort study pooling 52 Italian industrial cohorts of workers formerly exposed to asbestos was carried out. Causes of death were coded according to ICD. Linkage was carried out for those subjects who died for liver or bile duct cancer with data on histological subtype provided by Cancer Registries. 47 cohorts took part in the study (57,227 subjects). We identified 639 causes of death for liver and bile duct cancer in the 44 cohorts covered by Cancer Registry. Of these 639, 240 cases were linked to Cancer Registry, namely 14 CC, 83 HCC, 117 cases with unspecified histology, 25 other carcinomas, and one case of cirrhosis (likely precancerous condition). Of the 14 CC, 12 occurred in 2010-2019, two in 2000-2009, and none before 2000. Further studies are needed to explore the association between occupational exposure to asbestos and CC. Record linkage was hampered due to incomplete coverage of the study areas and periods by Cancer Registries. The identification of CC among unspecific histology cases is fundamental to establish more effective and targeted liver cancer screening strategies.

Exploration and validation of optimal cut-off values for tPSA and fPSA/tPSA screening of prostate cancer at different ages

Objective: To determine the total and age-specific cut-off values of total prostate specific antigen (tPSA) and the ratio of free PSA divided total PSA (fPSA/tPSA) for screening prostate cancer in China. Methods: Based on the Chinese Colorectal, Breast, Lung, Liver, and Stomach cancer Screening Trial (C-BLAST) and the Tianjin Common Cancer Case Cohort (TJ4C), males who were not diagnosed with any cancers at baseline since 2017 and received both tPSA and fPSA testes were selected. Based on Cox regression, the overall and age-specific (＜60, 60-＜70, and ≥70 years) accuracy and optimal cut-off values of tPSA and fPSA/tPSA ratio for screening prostate cancer were evaluated with time-dependent receiver operating characteristic curve (tdROC) and area under curve (AUC). Bootstrap resampling was used to internally validate the stability of the optimal cut-off value, and the PLCO study was used to externally validate the accuracy under different cut-off values. Results: A total of 5 180 participants were included in the study, and after a median follow-up of 1.48 years, a total of 332 prostate cancer patients were included. In the total population, the tdAUC of tPSA and fPSA/tPSA screening for prostate cancer were 0.852 and 0.748, respectively, with the optimal cut-off values of 5.08 ng/ml and 0.173, respectively. After age stratification, the age specific cut-off values of tPSA in the <60, 60-<70, and ≥70 age groups were 3.13, 4.82, and 11.54 ng/ml, respectively, while the age-specific cut-off values of fPSA/tPSA were 0.153, 0.135, and 0.130, respectively. Under the age-specific cut-off values, the sensitivities of tPSA screening for prostate cancer in males <60, 60-70, and ≥70 years old were 92.3%, 82.0%, and 77.6%, respectively, while the specificities were 84.7%, 81.3%, and 75.4%, respectively. The age-specific sensitivities of fPSA/tPSA for screening prostate cancer were 74.4%, 53.3%, and 55.9%, respectively, while the specificities were 83.8%, 83.7%, and 83.7%, respectively. Both bootstrap's internal validation and PLCO external validation provided similar results. The combination of tPSA and fPSA/tPSA could further improve the accuracy of screening. Conclusion: To improve the screening effects, it is recommended that age-specific cut-off values of tPSA and fPSA/tPSA should be used to screen for prostate cancer in the general risk population.

Differences in influencing mechanism of clinicians’ adoption behavior for liver cancer screening technology between the leading and subordinate hospitals within medical consortiums

BackgroundMedical consortiums have been extensively established to facilitate the integration of health resources and bridge the technical gap among member institutions. However, some commonly appropriate technologies remain stagnant in subordinate hospitals, although they have been routinely applied in leading hospitals. Besides, the mechanism underlying differences in clinicians’ adoption behavior at different levels of institutions was unknown. Therefore, this study aimed to investigate the differences in influencing mechanisms of clinicians’ hepatic contrast-enhanced ultrasound technology (CEUS) utilization behavior between leading and subordinate hospitals within medical consortiums, thus providing clues for expanding effective and appropriate technologies within integrated care systems.MethodsA self-designed scale was developed based on the theory of planned behavior (TPB). A multistage sampling method was applied to investigate clinicians who were aware of CEUS and worked in liver disease-related departments within the sampled medical institutions. The final sample size was 289. AMOS 24.0 software was used to construct multi-group structural equation modeling (SEM) to validate the hypotheses and determine the mechanism of hepatic CEUS utilization.ResultsIt revealed that behavioral intention significantly influenced adoption behavior, regardless of whether it was in leading hospitals or subordinate hospitals (β = 0.283, p < 0.001). Furthermore, behavioral attitude (β = 0.361, p < 0.001) and perceived behavioral control (β = 0.582, p < 0.001) exerted significant effects on adoption behavior through behavioral intention. However, in leading hospitals, subjective norm had a significant positive effect on behavioral intention (β = 0.183, p < 0.01), while it had a significant negative impact on behavioral intention in the subordinate hospitals (β = -0.348, p < 0.01).ConclusionTo effectively translate the adoption intention into actual behavior, it is recommended to elucidate the demand and facilitators involved in the process of health technology adoption across leading and subordinate hospitals. Additionally, bolstering technical support and knowledge dissemination within subordinate hospitals while harnessing the influential role of key individuals can further enhance this transformative process.

A care coordination program to support patients with hepatitis B virus at Kaiser Permanente Mid-Atlantic States

BackgroundEliminating hepatitis B virus (HBV) is a significant worldwide challenge requiring innovative approaches for vaccination, screening, disease management, and the prevention of related conditions. Programs that support patients in accessing needed clinical services can help optimize access to preventive services and treatment resources for hepatitis B.MethodsHere, we outline a coordinator-supported program (HBV Pathway) that connects patients infected with HBV to laboratory testing, imaging, and specialty care for treatment initiation and/or liver cancer surveillance (screening of high-risk patients for liver cancer). This study describes the HBV Pathway steps and reports sociodemographic factors of patients by initiation and completion.ResultsResults showed a 72.5% completion rate (defined as completing all Pathway steps including the final specialty visit) among patients who initiated the Pathway. Differences in completion were observed by age, race, ethnicity, and service area, with higher rates for younger ages, Asian race, non-Hispanic ethnicity, and lower rates for patients within one service area. Of those who completed the specialty visit, 59.5% were referred for hepatocellular carcinoma surveillance.ConclusionsThe HBV Pathway offers dual benefits– care coordination support for patients to promote Pathway completion and a standardized testing and referral program to reduce physician burden. This program provides an easy and reliable process for patients and physicians to obtain updated clinical information and initiate treatment and/or liver cancer screening if needed.

Abstract 1267: Projected impact of liquid biopsy screening strategies with high sensitivity in focused populations and high specificity in broad populations

Abstract Purpose: Two 'liquid biopsy' cancer screening approaches exist: Focused and Broad. The Focused approach targets specific cancers and populations lacking adequate screening, emphasizing high sensitivity. The Broad approach aims to detect various cancers in the population, prioritizing high specificity to minimize false-positives but potentially compromising sensitivity. The public health impact and testing burden of these approaches remain unexplored. Methods: Projected cancer mortality reduction and annual test volumes are based on published data for liquid biopsy tests. Focused screening is modeled for patients not undergoing guideline-recommended screening for lung, liver, and colorectal cancers. Broad screening is modeled for individuals aged 50-80, assuming the detection of all cancer types. Averted deaths are calculated by combining published mortality reduction estimates or assumed at 20% if not available. Reductions are adjusted for reported test sensitivities. Liquid biopsy cannot prevent deaths from cancers recommended for screening if the person has already undergone the recommended test. Results: Focused and broad screening strategies annually prevented around 20,000 cancer deaths. Focused screening necessitated testing only one-fifth of the people compared to broad screening (30MM vs. 150MM). The projected reduction in mortality for focused testing relied entirely on randomized studies, while the equivalent statistic for the broad strategy was 53%. Conclusions: Equivalent reductions in cancer deaths can be achieved with focused screening at high sensitivity and broad screening at high specificity, with only one-fifth of the testing burden. The influence of false positives in focused testing and false reassurance in broad testing may impact these findings, which could also be influenced by testing and follow-up costs. Table 1 Annual cancer deaths averted (thousands) Focused cancer testing Broad cancer testing Lung 10-12 4-8 Liver 4-5 1 Colorectal 3-4 1 Other screened cancers* Not modeled 1-2 Unscreened cancers Not modeled 6-10 Total 17-20 14-22 Annual test volume (millions) 30 150 *Other screened cancers includes prostate, breast, cervical. Range reflects the application of reported Stage I or overall sensitivity, respectively. Citation Format: Peter B. Bach, Niti U. Trivedi, Lindsey Cotton. Projected impact of liquid biopsy screening strategies with high sensitivity in focused populations and high specificity in broad populations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 1267.

Low-abundance proteins-based label-free SERS approach for high precision detection of liver cancer with different stages

BackgroundSurface-enhanced Raman scattering (SERS) technology have unique advantages of rapid, simple, and highly sensitive in the detection of serum, it can be used for the detection of liver cancer. However, some protein biomarkers in body fluids are often present at ultra-low concentrations and severely interfered with by the high-abundance proteins (HAPs), which will affect the detection of specificity and accuracy in cancer screening based on the SERS immunoassay. Clearly, there is a need for an unlabeled SERS method based on low abundance proteins, which is rapid, noninvasive, and capable of high precision detection and screening of liver cancer. ResultsSerum samples were collected from 60 patients with liver cancer (27 patients with stage T1 and T2 liver cancer, 33 patients with stage T3 and T4 liver cancer) and 40 healthy volunteers. Herein, immunoglobulin and albumin were separated by immune sorption and Cohn ethanol fractionation. Then, the low abundance protein (LAPs) was enriched, and high-quality SERS spectral signals were detected and obtained. Finally, combined with the principal component analysis-linear discriminant analysis (PCA-LDA) algorithm, the SERS spectrum of early liver cancer (T1-T2) and advanced liver cancer (T3-T4) could be well distinguished from normal people, and the accuracy rate was 98.5% and 100%, respectively. Moreover, SERS technology based on serum LAPs extraction combined with the partial least square-support vector machine (PLS-SVM) successfully realized the classification and prediction of normal volunteers and liver cancer patients with different tumor (T) stages, and the diagnostic accuracy of PLS-SVM reached 87.5% in the unknown testing set. SignificanceThe experimental results show that the serum LAPs SERS detection combined with multivariate statistical algorithms can be used for effectively distinguishing liver cancer patients from healthy volunteers, and even achieved the screening of early liver cancer with high accuracy (T1 and T2 stage). These results showed that serum LAPs SERS detection combined with a multivariate statistical diagnostic algorithm has certain application potential in early cancer screening.

Early-stage hepatocellular carcinoma screening in patients with chronic hepatitis B in China: a cost-effectiveness analysis.

Aim: To evaluate the cost-effectiveness of seven screening strategies for chronic hepatitis B (CHB) patients in China. Methods: A discrete event simulation model combining a decision tree and Markov structure was developed to simulate a CHB cohort aged ≥40years on a lifetime horizon and evaluate the costs and health outcomes (quality-adjusted life years [QALYs] gained) of ultrasonography (US), alpha-fetoprotein (AFP), protein induced by vitamin K absence-II (PIVKA-II), AFP+US, AFP+PIVKA-II, GAAD (a diagnostic algorithm based on gender and age combined with results of AFP and PIVKA-II) and GAAD+US. Epidemiologic, clinical performance, utility and cost data were obtained from the literature, expert interviews and real-world data. Uncertainties on key parameters were explored through deterministic and probabilistic sensitivity analyses (DSA and PSA). Results: Compared with other strategies, GAAD+US detected the most HCC patients at early stage, and GAAD was the screening strategy with the lowest average cost per HCC case diagnosed. Using 3× China's 2022 GDP per capita ($38,233.34) as the threshold, the three strategies of US, GAAD and GAAD+US formed a cost-effectiveness frontier. Screening with US, GAAD, or GAAD+US was associated with costs of $6110.46, $7622.05 and $8636.32, and QALYs of 13.18, 13.48 and 13.52, respectively. The ICER of GAAD over US was $4993.39/QALY and the ICER of GAAD+US over GAAD was $26,691.45/QALY, which was less than 3× GDP per capita. Both DSA and PSA proved the stability of the results. Conclusion: GAAD+US was the most cost-effective strategy for early HCC diagnosis among CHB patients which could be considered as the liver cancer screening scheme for the high-risk population in China.

Multi-omics combined test performance effectiveness on opportunistic screening of high-risk liver cancer population

Objective: To validate the performance of a multi-omics combined test for early screening of high-risk liver cancer populations. Methods: 173 high-risk patients with liver cancer were prospectively screened in a real-world setting, and 164 cases were finally enrolled. B-ultrasound, alpha-fetoprotein (AFP), and HCC screens were conducted in all patients. A multi-omics early screening test was performed for liver cancer in combination with multi-gene methylation, TP53/TERT/CTNNB1 mutations, AFP, and abnormal prothrombin (PIVKA-II). Differences in rates were compared using the chi-square test, adjusted chi-square test, or Fisher's exact probability method for count data. A non-parametric rank test (Mann-Whitney) was used to compare the differences between the two groups of data. Results: The HCCscreen detection had a sensitivity of 100% for liver cancer screening, 93.8% for liver cancer and precancerous diseases, 34.1% for positive predictive value, 99.2% for negative predictive value, and 0.89 for an area under the curve (AUC). Parallel detection of AFP, AFP+B-ultrasound, and methylation+mutation had a sensitivity/specificity and AUC of 31.3%/88.5% (AUC=0.78), 56.3%/88.2% (AUC=0.86), and 81.3%/82.4 % (AUC=0.84). At the same time, the disease severity range was significantly correlated with the methylation+mutation score, HCCscreen score, or positive detection rate (PDR). There was no significant correlation between AFP serum levels and methylation+mutation or HCCscreen scores, while there was a significant linear correlation between methylation+mutation scores and HCCscreen scores (r = 0.73, P < 0.001). Conclusion: In real-world settings, HCCscreen shows high sensitivity for screening opportunistic, high-risk liver cancer populations. Furthermore, it may efficaciously detect liver cancer and precancerous diseases, with superior performance to AFP and AFP+ultrasound. Hence, HCCscreen has the potential to become an effective screening tool that is superior to existing screening methods for high-risk liver cancer populations.