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Journal of Gastroenterology and... Jun 2024Hepatocellular carcinoma (HCC) constitutes the majority of liver cancers and significantly impacts global cancer mortality. While ultrasound (US) with or without... (Review)
Review
INTRODUCTION
Hepatocellular carcinoma (HCC) constitutes the majority of liver cancers and significantly impacts global cancer mortality. While ultrasound (US) with or without alpha-fetoprotein is the mainstay for HCC surveillance, its limitations highlight the necessity for more effective surveillance tools. Therefore, this review explores evolving imaging modalities and abbreviated magnetic resonance imaging (MRI) (AMRI) protocols as promising alternatives, addressing challenges in HCC surveillance.
AREAS COVERED
This comprehensive review delves into the evaluation and challenges of HCC surveillance tools, focusing on non-contrast abbreviated MRI (NC-AMRI) and contrast-enhanced abbreviated MRI protocols. It covers the implementation of AMRI for HCC surveillance, patient preferences, adherence, and strategies for optimizing cost-effectiveness. Additionally, the article provides insights into prospects for HCC surveillance by summarizing meta-analyses, prospective studies, and ongoing clinical trials evaluating AMRI protocols.
EXPERT OPINION
The opinions underscore the transformative impact of AMRI on HCC surveillance, especially in overcoming US limitations. Promising results from NC-AMRI protocols indicate its potential for high-risk patient surveillance, though prospective studies in true surveillance settings are essential for validation. Future research should prioritize risk-stratified AMRI protocols and address cost-effectiveness for broader clinical implementation, alongside comparative analyses with US for optimal surveillance strategies.
PubMed: 38899804
DOI: 10.1111/jgh.16643 -
Nanoscale Jun 2024Electrochemical bio-sensing is a potent and efficient method for converting various biological recognition events into voltage, current, and impedance electrical... (Review)
Review
Electrochemical bio-sensing is a potent and efficient method for converting various biological recognition events into voltage, current, and impedance electrical signals. Biochemical sensors are now a common part of medical applications, such as detecting blood glucose levels, detecting food pathogens, and detecting specific cancers. As an exciting feature, bio-affinity couples, such as proteins with aptamers, ligands, paired nucleotides, and antibodies with antigens, are commonly used as bio-sensitive elements in electrochemical biosensors. Biotin-avidin interactions have been utilized for various purposes in recent years, such as targeting drugs, diagnosing clinically, labeling immunologically, biotechnology, biomedical engineering, and separating or purifying biomolecular compounds. The interaction between biotin and avidin is widely regarded as one of the most robust and reliable noncovalent interactions due to its high bi-affinity and ability to remain selective and accurate under various reaction conditions and bio-molecular attachments. More recently, there have been numerous attempts to develop electrochemical sensors to sense circulating cancer cells and the measurement of intracellular levels of protein thiols, formaldehyde, vitamin-targeted polymers, huwentoxin-I, anti-human antibodies, and a variety of tumor markers (including alpha-fetoprotein, epidermal growth factor receptor, prostate-specific Ag, carcinoembryonic Ag, cancer antigen 125, cancer antigen 15-3, .). Still, the non-specific binding of biotin to endogenous biotin-binding proteins present in biological samples can result in false-positive signals and hinder the accurate detection of cancer biomarkers. This review summarizes various categories of biotin-functional nanoparticles designed to detect such biomarkers and highlights some challenges in using them as diagnostic tools.
PubMed: 38899396
DOI: 10.1039/d4nr00634h -
World Journal of Gastroenterology Jun 2024At present, liver transplantation (LT) is one of the best treatments for hepatocellular carcinoma (HCC). Accurately predicting the survival status after LT can...
BACKGROUND
At present, liver transplantation (LT) is one of the best treatments for hepatocellular carcinoma (HCC). Accurately predicting the survival status after LT can significantly improve the survival rate after LT, and ensure the best way to make rational use of liver organs.
AIM
To develop a model for predicting prognosis after LT in patients with HCC.
METHODS
Clinical data and follow-up information of 160 patients with HCC who underwent LT were collected and evaluated. The expression levels of alpha-fetoprotein (AFP), des-gamma-carboxy prothrombin, Golgi protein 73, cytokeratin-18 epitopes M30 and M65 were measured using a fully automated chemiluminescence analyzer. The best cutoff value of biomarkers was determined using the Youden index. Cox regression analysis was used to identify the independent risk factors. A forest model was constructed using the random forest method. We evaluated the accuracy of the nomogram using the area under the curve, using the calibration curve to assess consistency. A decision curve analysis (DCA) was used to evaluate the clinical utility of the nomograms.
RESULTS
The total tumor diameter (TTD), vascular invasion (VI), AFP, and cytokeratin-18 epitopes M30 (CK18-M30) were identified as important risk factors for outcome after LT. The nomogram had a higher predictive accuracy than the Milan, University of California, San Francisco, and Hangzhou criteria. The calibration curve analyses indicated a good fit. The survival and recurrence-free survival (RFS) of high-risk groups were significantly lower than those of low- and middle-risk groups ( < 0.001). The DCA shows that the model has better clinical practicability.
CONCLUSION
The study developed a predictive nomogram based on TTD, VI, AFP, and CK18-M30 that could accurately predict overall survival and RFS after LT. It can screen for patients with better postoperative prognosis, and improve long-term survival for LT patients.
Topics: Humans; Carcinoma, Hepatocellular; Liver Neoplasms; Nomograms; Male; Liver Transplantation; Middle Aged; Female; Risk Factors; alpha-Fetoproteins; Biomarkers, Tumor; Prognosis; Adult; Retrospective Studies; Aged; Treatment Outcome; Keratin-18; Decision Support Techniques
PubMed: 38899335
DOI: 10.3748/wjg.v30.i21.2763 -
Hepatology Communications Jul 2024Serum AFP-L3%, AFP, and DCP are useful biomarkers for HCC detection, but their utility in assessing treatment response remains unknown. We aim to evaluate the accuracy...
BACKGROUND
Serum AFP-L3%, AFP, and DCP are useful biomarkers for HCC detection, but their utility in assessing treatment response remains unknown. We aim to evaluate the accuracy of a biomarker model in the detection of posttreatment viable tumors.
METHODS
For model derivation, recipients with HCC undergoing liver transplant from 2018 to 2022 who had biomarkers collected within 3 months before transplant were included. We developed a generalized linear model for detecting posttreatment viable tumors with the 3 biomarkers as covariates, which we termed the "LAD Score." An independent cohort of 117 patients with HCC was used for external validation.
RESULTS
Among 205 recipients of transplant, 70.2% had evidence of viable tumor on explant. The median LAD score was higher among patients with viable versus nonviable tumors (1.06 vs. 0.465, p < 0.001). The LAD score had a sensitivity of 55.6% and a specificity of 85.1% at the cutoff of 0.927, which was more accurate than imaging for detecting posttreatment viable tumors (AUROC 0.736 vs. 0.643, respectively; p = 0.045). The superior performance of the LAD score over imaging is primarily driven by its greater accuracy in detecting tumors <2 cm in diameter (AUROC of the LAD score 0.721 vs. imaging 0.595, p = 0.02). In the validation data set, the LAD score had an AUROC of 0.832 (95% CI: 0.753, 0.911) with a sensitivity of 72.5% and a specificity of 89.4% at the cutoff of 0.927.
CONCLUSIONS
Our findings suggest the utility of LAD score in treatment response assessment after locoregional therapy for HCC, particularly in detecting small tumors. A larger prospective study is in progress to validate its accuracy and evaluate its performance in recurrence monitoring.
Topics: Humans; Liver Neoplasms; Carcinoma, Hepatocellular; Female; Male; Middle Aged; Biomarkers, Tumor; Liver Transplantation; alpha-Fetoproteins; Aged; Treatment Outcome; Sensitivity and Specificity; Retrospective Studies
PubMed: 38896084
DOI: 10.1097/HC9.0000000000000466 -
EBioMedicine Jun 2024The accuracy of blood-based early tumour recognition is compromised by signal production at non-tumoral sites, low amount of signal produced by small tumours, and...
BACKGROUND
The accuracy of blood-based early tumour recognition is compromised by signal production at non-tumoral sites, low amount of signal produced by small tumours, and variable tumour production. Here we examined whether tumour-specific enhancement of vascular permeability by the particular tumour homing peptide, iRGD, which carries dual function of binding to integrin receptors overexpressed in the tumour vasculature and is known to promote extravasation via neuropilin-1 receptor upon site-specific cleavage, might be useful to improve blood-based tumour detection by inducing a yet unrecognised vice versa tumour-to-blood transport.
METHODS
To detect an iRGD-induced tumour-to-blood transport, we examined the effect of intravenously injected iRGD on blood levels of α-fetoprotein (AFP) and autotaxin in several mouse models of hepatocellular carcinoma (HCC) or in mice with chronic liver injury without HCC, and on prostate-specific antigen (PSA) levels in mice with prostate cancer.
FINDINGS
Intravenously injected iRGD rapidly and robustly elevated the blood levels of AFP in several mouse models of HCC, but not in mice with chronic liver injury. The effect was primarily seen in mice with small tumours and normal basal blood AFP levels, was attenuated by an anti-neuropilin-1 antibody, and depended on the concentration gradient between tumour and blood. iRGD treatment was also able to increase blood levels of autotaxin in HCC mice, and of PSA in mice with prostate cancer.
INTERPRETATION
We conclude that iRGD induces a tumour-to-blood transport in a tumour-specific fashion that has potential of improving diagnosis of early stage cancer.
FUNDING
Deutsche Krebshilfe, DKTK, LOEWE-Frankfurt Cancer Institute.
PubMed: 38889481
DOI: 10.1016/j.ebiom.2024.105178 -
Annals of Gastroenterology and the... 2024The factors responsible for hepatocellular carcinoma (HCC) growth are not precisely known.
BACKGROUND
The factors responsible for hepatocellular carcinoma (HCC) growth are not precisely known.
AIMS
To study the clinical parameters associated with increases in maximum tumor diameter (MTD).
METHODS
A new cohort of 944 prospectively accrued HCC patients was analyzed for large size associations.
RESULTS
Patients were ordered into MTD terciles. Blood platelets, GGT and AST levels significantly increased and total bilirubin decreased with increase in MTD. Similar results were found only for platelets, in patients with low alpha-fetoprotein (AFP) levels, for whom biomarkers are scanty. Survival significantly decreased for patients with high platelet or GGT levels, even when AFP levels were low.Comparison of patients with low and high platelet levels showed that in the ≤6cm MTD group, patients with higher platelet numbers had lower total bilirubin and AST, and higher albumin, hemoglobin and percent patients with portal vein thrombosis (PVT) than those with lower platelets. Univariable logistic analysis on HCCs >6cm versus ≤6cm revealed significantly higher odds ratios for elevated blood platelet, AFP, GGT and ALKP levels. Cox regression analysis on death showed that in ≤6cm MTD patients, significant hazard ratios were for platelets, GGT, AFP, ALKP and PVT; but not for >6cm MTD patients, suggesting different mechanisms. Given the association of higher platelets with larger tumors and good liver function, their precursors are suggested to be small tumors with higher platelets and endogenous tumor factors. However, patients with low platelets and larger HCCs might have a different HCC lineage, likely associated with liver inflammation factors.
CONCLUSIONS
Blood platelet levels are a potential marker for HCC phenotype and prognosis, including in patients with low AFP. They may also be a therapeutic target.
PubMed: 38887309
DOI: No ID Found -
Insights Into Imaging Jun 2024To construct a combined model based on bi-regional quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), as well as clinical-radiological (CR)...
OBJECTIVES
To construct a combined model based on bi-regional quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI), as well as clinical-radiological (CR) features for predicting microvascular invasion (MVI) in solitary Barcelona Clinic Liver Cancer (BCLC) stage A hepatocellular carcinoma (HCC), and to assess its ability for stratifying the risk of recurrence after hepatectomy.
METHODS
Patients with solitary BCLC stage A HCC were prospective collected and randomly divided into training and validation sets. DCE perfusion parameters were obtained both in intra-tumoral region (ITR) and peritumoral region (PTR). Combined DCE perfusion parameters (C) were constructed to predict MVI. The combined model incorporating C and CR features was developed and evaluated. Kaplan-Meier method was used to investigate the prognostic significance of the model and the survival benefits of different hepatectomy approaches.
RESULTS
A total of 133 patients were included. Total blood flow in ITR and arterial fraction in PTR exhibited the best predictive performance for MVI with areas under the curve (AUCs) of 0.790 and 0.792, respectively. C achieved AUCs of 0.868 (training set) and 0.857 (validation set). A combined model integrated with the α-fetoprotein, corona enhancement, two-trait predictor of venous invasion, and C could improve the discrimination ability to AUCs of 0.966 (training set) and 0.937 (validation set). The combined model could stratify the prognosis of HCC patients. Anatomical resection was associated with a better prognosis in the high-risk group (p < 0.05).
CONCLUSION
The combined model integrating DCE perfusion parameters and CR features could be used for MVI prediction in HCC patients and assist clinical decision-making.
CRITICAL RELEVANCE STATEMENT
The combined model incorporating bi-regional DCE-MRI perfusion parameters and CR features predicted MVI preoperatively, which could stratify the risk of recurrence and aid in optimizing treatment strategies.
KEY POINTS
Microvascular invasion (MVI) is a significant predictor of prognosis for hepatocellular carcinoma (HCC). Quantitative DCE-MRI could predict MVI in solitary BCLC stage A HCC; the combined model improved performance. The combined model could help stratify the risk of recurrence and aid treatment planning.
PubMed: 38886267
DOI: 10.1186/s13244-024-01720-w -
American Journal of Translational... 2024This study aims to evaluate the predictive value of tumor markers combined with gastrin for tumor recurrence after endoscopic submucosal dissection (ESD) in patients...
OBJECTIVE
This study aims to evaluate the predictive value of tumor markers combined with gastrin for tumor recurrence after endoscopic submucosal dissection (ESD) in patients with early gastric cancer.
METHODS
The clinicopathological data of 169 patients with early gastric cancer treated with ESD between March 2019 and January 2021 were retrospectively analyzed. The patients were divided into a relapse group (n=45) and a non-recurrence group (n=124). Clinical data such as carcinoembryonic antigen (CEA), cancer antigen 19-9 (CA19-9), alpha-fetoprotein (AFP), gastrin 17, pepsinogen I and pepsinogen II, as well as tumor size and degree of infiltration were examined to construct a recurrence prediction model using lasso regression.
RESULTS
The comprehensive model showed superior predictive power (AUC=0.958, C-index=0.966) over biomarker-only models (AUC=0.925), indicating a significant improvement in the prediction of recurrence risk. Decision curve analysis confirmed the clinical utility of the model with a maximum net benefit of 73.37%. Key indicators such as CEA, CA19-9, AFP, gastrin 17 and pepsinogens I and II were statistically significant in predicting recurrence with values < 0.01.
CONCLUSION
The comprehensive model combining tumor markers with clinical data provides a more accurate and clinically valuable tool for predicting recurrence in early gastric cancer patients after ESD. This approach facilitates personalized risk assessment and may significantly improve prognostic management, emphasizing the importance of a multifaceted strategy in the management of early gastric cancer.
PubMed: 38883344
DOI: 10.62347/VOTO5604 -
Translational Cancer Research May 2024The preoperative conversion therapy for advanced hepatocellular carcinoma (HCC) is still being explored. This study reported the potential of combination of...
Transarterial chemoembolization (TACE)-hepatic arterial infusion chemotherapy (HAIC) combined with PD-1 inhibitors plus lenvatinib as a preoperative conversion therapy for nonmetastatic advanced hepatocellular carcinoma: a single center experience.
BACKGROUND
The preoperative conversion therapy for advanced hepatocellular carcinoma (HCC) is still being explored. This study reported the potential of combination of transarterial chemoembolization (TACE), hepatic arterial infusion chemotherapy (HAIC), programmed cell death protein-1 (PD-1) inhibitors and lenvatinib as preoperative conversion therapy for nonmetastatic advanced HCC.
METHODS
This retrospective study gathered data on patients with nonmetastatic advanced HCC who received this combination therapy. We used drug-eluting bead (DEB) instead of conventional iodized oil in TACE. The clinical data, conversion rate, adverse events (AEs) and short-term survival were summarized. A stratified analysis based on whether or not the patient received surgery was conducted.
RESULTS
A total of 28 patients were included in the analysis. No grade 4 AEs were observed. The overall objective response rate (ORR) was 64.3%. Ten (35.7%) patients eventually received R0 resection after 2 cycles of combination therapy. Patients succeeding to resection (surgery group) had significantly higher ORR (90.0% 50.0%, P=0.048). The proportion of patients with alpha-fetoprotein (AFP) >1,000 µg/L was significantly lower in surgery group (10.0% 66.7%, P=0.006). After combination therapy, more patients in surgery group experienced significant reduction of >90% in AFP levels (75.0% 23.1%, P=0.03), as well as standardized uptake value (SUV) of F-fluorodeoxyglucose (F-FDG) both in primary tumors and portal vein tumor thrombosis (PVTT) (60.0% 5.6%, P=0.003; 57.1% 8.3%, P=0.04). Of note, 85.7% of PVTT exhibited major pathological response (MPR) in pathological examination although only 28.6% achieved downstage in preoperative imaging examination. MPR was more commonly observed in PVTT than in main tumors (85.7% 20.0%). In non-surgery group, the median overall survival (OS) was 7 months with a 1-year survival rate of 27.8%, while in surgery group, the median OS was not reached and 1-year survival rate was 60.0%.
CONCLUSIONS
The combination of TACE-HAIC, PD-1 inhibitors and lenvatinib showed its benefit as a preoperative conversion therapy for nonmetastatic advanced HCC. In addition to imaging evaluation, significant reduction of F-FDG uptake and AFP can be used as predictors of successful conversion, especially for PVTT.
PubMed: 38881913
DOI: 10.21037/tcr-24-93 -
Hepatology Research : the Official... Jun 2024An accurate assessment of the general condition of patients with hepatocellular carcinoma (HCC) is essential. We evaluated the impact of grip strength (GS) and Eastern...
Grip strength complements performance status in assessing general condition in patients with unresectable hepatocellular carcinoma treated with atezolizumab and bevacizumab.
AIM
An accurate assessment of the general condition of patients with hepatocellular carcinoma (HCC) is essential. We evaluated the impact of grip strength (GS) and Eastern Cooperative Oncology Group Performance Status (ECOG-PS) on the clinical outcomes of patients with unresectable HCC (u-HCC) treated with atezolizumab plus bevacizumab.
METHODS
This observational cohort study analyzed 89 patients with u-HCC treated with atezolizumab plus bevacizumab between October, 2020 and October, 2023. A Cox proportional hazards model and Kaplan-Meier curve were used to identify the prognostic factors associated with survival outcomes.
RESULTS
There were 33 patients who had low GS and 16 had an ECOG-PS ≥1. The frequency of patients with low GS increased as the ECOG-PS score increased. The overall survival of the normal GS group was significantly higher than that of the low GS group (p < 0.01). There was no significant difference in progression-free survival between the normal GS group and low-GS group (p = 0.28). Among the patients in the ECOG-PS 0 groups, the overall survival in the normal GS group was significantly higher than that in the low GS group (p < 0.01). A multivariate analysis revealed that modified albumin-bilirubin 2b (HR 2.24; 95% confidence interval [CI] 1.06-4.73), α-fetoprotein ≥100 ng/mL (HR 2.35; 95% CI 1.20-4.58), and low GS (HR 2.87; 95% CI 1.31-6.27) were independently associated with a poor overall survival.
CONCLUSIONS
The present study demonstrated that GS is a sensitive marker for detecting a subclinical decline in the general condition and is therefore a potential predictor of the outcome of u-HCC patients treated with atezolizumab plus bevacizumab.
PubMed: 38877962
DOI: 10.1111/hepr.14084