Evaluation of squamous cell carcinoma antigen-immunoglobulin M complex (SCCA-IGM) and alpha-L-fucosidase (AFU) as novel diagnostic biomarkers for hepatocellular carcinoma

A review of MASLD-related hepatocellular carcinoma: progress in pathogenesis, early detection, and therapeutic interventions

The incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) is continuously rising, evolving into a global health challenge. Concurrently, cases of hepatocellular carcinoma (HCC) associated with MASLD are also on the increase. Although traditional risk factors such as age, gender, and metabolic factors play significant roles in the development of HCC, it cannot be overlooked that MASLD, triggered by changes in modern lifestyle and dietary habits, may also exacerbate the risk of HCC, and this phenomenon is common even among non-obese individuals. Regrettably, MASLD often fails to receive timely diagnosis, resulting in a limited number of patients receiving HCC surveillance. Moreover, there is currently a lack of clear definition for the target population for surveillance beyond patients with cirrhosis. Consequently, MASLD-related HCC is often detected at a late stage, precluding the optimal timing for curative treatment. However, our understanding of the pathogenesis and progression of HCC remains limited. Therefore, this paper reviews relevant literature from recent years, delving into multiple dimensions such as pathogenesis, surveillance and diagnosis, prevention, and treatment, aiming to provide new ideas and directions for the prevention and treatment of MASLD-related HCC.

Application and progress of the detection technologies in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) has a very high incidence and fatality rate, and in most cases, it is already at an advanced stage when diagnosed. Therefore, early prevention and detection of HCC are two of the most effective strategies. However, the methods recommended in the practice guidelines for the detection of HCC cannot guarantee high sensitivity and specificity except for the liver biopsy, which is known as the "gold standard". In this review, we divided the detection of HCC into pre-treatment diagnosis and post-treatment monitoring, and found that in addition to the traditional imaging detection and liver biopsy, alpha fetoprotein (AFP), lens culinaris-agglutinin-reactive fraction of AFP (AFP-L3), protein induced by vitamin K absence or antagonist-II (PIVKA-II) and other biomarkers are excellent biomarkers for HCC, especially when they are combined together. Most notably, the emerging liquid biopsy shows great promise in detecting HCC. In addition, lactic dehydrogenase (LDH), suppressor of cytokine signaling (SOCS) and other relevant biomarkers may become promising biomarkers for HCC post-treatment monitoring. Through the detailed introduction of the diagnostic technology of HCC, we can have a detailed understanding of its development process and then obtain some enlightenment from the diagnosis, to improve the diagnostic rate of HCC and reduce its mortality.

Synthesis and Biological Evaluation of a Radiolabeled PET (Positron Emission Tomography) Probe for Visualization of In Vivo α-Fucosidase Expression

The acidic hydrolase α-fucosidase (AF) is a biomarker for maladies such as cancer and inflammation. The most advanced probes for α-fucosidase are unfortunately constrained to ex vivo or in vitro applications. The in vivo detection and quantification of AF using positron emission tomography would allow for better discovery and diagnosis of disease as well as provide better understanding of disease progression. We synthesized, characterized, and evaluated a radiolabeled small molecule inhibitor of AF based on a known molecule. The radiosynthesis involved the ¹¹C methylation of a phenoxide, which was generated in situ by ultrasonification of the precursor with sodium hydride. The tracer was produced with a decay corrected yield of 41.7 ± 16.5% and had a molar activity of 65.4 ± 30.3 GBq/μmol. The tracer was shown to be stable in mouse serum at 60 min. To test the new tracer, HCT116 colorectal carcinoma cells were engineered to overexpress human AF. In vitro evaluation revealed 3.5-fold higher uptake in HCT116AF cells compared to HCT116 controls (26.4 ± 7.8 vs. 7.5 ± 1.0 kBq/10⁶ cells). Static PET scans 50 min post injection revealed 2.5-fold higher tracer uptake in the HCT116AF tumors (3.0 ± 0.8%ID/cc (n = 6)) compared with the controls (1.2 ± 0.8 (n = 5)). Dynamic scans showed higher uptake in the HCT116AF tumors at all time-points (n = 2). Ex vivo analysis of the tumors, utilizing fluorescent DDK2 antibodies, confirmed the expression of human AF in the HCT116AF xenografts. We have developed a novel PET tracer to image AF in vivo and will now apply this to relevant disease models.

Immunodiagnostic Biomarkers for Hepatocellular Carcinoma (HCC): The First Step in Detection and Treatment

Hepatocellular carcinoma (HCC) exerts huge effects on the health burden of the world because of its high mortality and poor prognosis. HCC is often clinically detected late in patients. If HCC could be detected and treated earlier, the survival rate of patients will be greatly improved. Therefore, identifying specific biomarkers is urgent and important for HCC. The liver is also recognized as an immune organ. The occurrence of HCC is related to exacerbation of immune tolerance and/or immunosurveillance escape. The host immune system plays an important role in the recognition and targeting of tumor cells in cancer immunotherapy, as can be seen from the clinical success of immune checkpoint inhibitors and chimeric antigen receptor (CAR) T cells. Thus, there is a pressing medical need to discover immunodiagnostic biomarkers specific to HCC for understanding the pathological mechanisms of HCC, especially for immunotherapy targets. We have reviewed the existing literature to summarize the immunodiagnostic markers of HCC, including autoantibodies against tumor-associated antigens (TAAs) and exosomes, to provide new insights into HCC and early detection of this deadly cancer.

Proteomic Profiling and Artificial Intelligence for Hepatocellular Carcinoma Translational Medicine

Hepatocellular carcinoma (HCC) is the most common primary cancer of the liver with high morbidity and mortality rates worldwide. Since 1963, when alpha-fetoprotein (AFP) was discovered as a first HCC serum biomarker, several other protein biomarkers have been identified and introduced into clinical practice. However, insufficient specificity and sensitivity of these biomarkers dictate the necessity of novel biomarker discovery. Remarkable advancements in integrated multiomics technologies for the identification of gene expression and protein or metabolite distribution patterns can facilitate rising to this challenge. Current multiomics technologies lead to the accumulation of a huge amount of data, which requires clustering and finding correlations between various datasets and developing predictive models for data filtering, pre-processing, and reducing dimensionality. Artificial intelligence (AI) technologies have an enormous potential to overcome accelerated data growth, complexity, and heterogeneity within and across data sources. Our review focuses on the recent progress in integrative proteomic profiling strategies and their usage in combination with machine learning and deep learning technologies for the discovery of novel biomarker candidates for HCC early diagnosis and prognosis. We discuss conventional and promising proteomic biomarkers of HCC such as AFP, lens culinaris agglutinin (LCA)-reactive L3 glycoform of AFP (AFP-L3), des-gamma-carboxyprothrombin (DCP), osteopontin (OPN), glypican-3 (GPC3), dickkopf-1 (DKK1), midkine (MDK), and squamous cell carcinoma antigen (SCCA) and highlight their functional significance including the involvement in cell signaling such as Wnt/β-catenin, PI3K/Akt, integrin αvβ3/NF-κB/HIF-1α, JAK/STAT3 and MAPK/ERK-mediated pathways dysregulated in HCC. We show that currently available computational platforms for big data analysis and AI technologies can both enhance proteomic profiling and improve imaging techniques to enhance the translational application of proteomics data into precision medicine.

Circulating biomarkers for early detection of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is estimated to be the fourth leading cause of cancer-related deaths worldwide. HCC patients face a dismal prognosis because symptoms usually appear in an advanced stage of disease. The detection of early stage HCC allows for curative surgical treatment and therefore saves lives. Specific non-invasive or diagnostic markers for HCC may represent a valuable tool for detecting these tumors at an early stage. The clinically most established serological biomarker alpha-fetoprotein shows only limited diagnostic performance, however novel candidate biomarkers and biomarker panels for detecting HCC at early stages of development are being studied. In this review we will discuss the findings of these studies.

What chance do we have to decrease prostate cancer overdiagnosis and overtreatment? A narrative review

In the era of biochemical tests and algorithms, the management of prostate cancer from prevention to treatment is still controversial. The debate is focused on clinically-significant and clinically-insignificant prostate cancer. As it is well known, the diagnostic tools available are not able to distinguish between the two, thus leading to men treated for prostate cancer even if not strictly necessary. Unfortunately, as of today, there is no test available able to predict the clinical aggressiveness of prostate cancer at the time of the diagnosis. However, some indexes, PSA derivatives, immunocomplexes, and diagnostic methods have been proposed. If properly used in the daily clinical practice, these tools may be of support in the decision making process, in the effort to reduce the overdiagnosis and the overtreatment of prostate cancer.For this reason, we believe that a clear knowledge of this tools, indexes and diagnostic methods is of the utmost importance in preventing the morbidities related to unnecessary treatment as weel as preventing the detrimental effect of missing the diagnosis of a clinically significant prostate cancer.This reviews encompasses the most studied tests and diagnostic methods to predict the aggressiveness of prostate cancer, to avoid to miss a diagnosis of clinically significant cancers and to optimize the overall pre-treatment work-up. (www.actabiomedica.it).

Clinical significances and diagnostic utilities of both miR-215 and squamous cell carcinoma antigen-IgM versus alpha-fetoprotein in Egyptian patients with hepatitis C virus-induced hepatocellular carcinoma

Background

Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide. It has been widely established that the early detection of HCC enables more treatment options with improvements in prognosis and survival.

Objectives

The aim of this study was to assess the diagnostic accuracy of both circulating miR-215 and squamous cell carcinoma antigen-IgM (SCCA-IgM) as serum biomarkers for HCC by examining their diagnostic sensitivity, specificity, accuracy, and predictive values in hepatitis C virus (HCV)-induced HCC patients.

Subjects and methods

This study included 60 patients with HCV-related HCC. In addition, 60 patients with HCV-related liver cirrhosis (LC) and 60 apparently healthy subjects were involved, and served as diseased and healthy control groups, respectively. The relative expression levels of miR-215 were detected using quantitative real-time PCR. SCCA-IgM levels in serum were measured by enzyme immunoassay. We used receiver operating characteristic (ROC) curve to calculate the diagnostic accuracy against alpha-fetoprotein (AFP).

Results

Relative miR-215 expression levels increased the most in HCC patients compared to that in healthy or diseased controls (P<0.001). Serum concentration of SCCA-IgM was significantly higher in HCC group than that in the two control groups. We performed multivariate analysis using AFP level, focal lesion size, and portal vein thrombosis as independent variables. ROC curves showed that the optimum diagnostic miR-215 cutoff value for identifying HCC patients from cirrhotic ones was 417 (sensitivity, 97%; specificity, 91%) and for SCCA-IgM was 95 AU/mL (sensitivity, 92%; specificity, 98%). Moreover, the superiority of both miR-215 and SCCA-IgM to AFP is obvious in our study and this superiority is more evident in distinguishing HCC with AFP levels <200 ng/mL and HCC patients with small-sized focal lesions from cirrhotic patients.

Conclusion

Cell-free miR-215 and serum SCCA-IgM could be used for early diagnosis of HCC either each one as a single marker or with AFP complement measurement.

Diagnostic accuracy of SCCA and SCCA-IgM for hepatocellular carcinoma: A meta-analysis

BACKGROUND & AIMS

Squamous cell carcinoma antigen (SCCA) and its immune complex (SCCA-IgM) have been proposed for use in the screening of hepatocellular carcinoma (HCC). We conducted a meta-analysis to evaluate the diagnostic performance of SCCA and SCCA-IgM and of both combined with alpha-foetoprotein.

METHODS

After a systematic review of the relevant studies, the sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio (DOR) and area under curve (AUC) for the diagnosis of HCC were pooled using bivariate meta-analysis. Hierarchic summary receiver operating characteristic curves were used to summarize the overall test performance. Bivariate boxplots were used to confirm whether the threshold effect existed. A Fagan nomogram was used to assess the clinical utility. Heterogeneity was explored by sensitivity analysis, univariable meta-regression and subgroup analysis.

RESULTS

Eleven studies that had HCC diagnosis as their purpose were ultimately included in the quantitative analysis. The summary estimates were as follows: SCCA (AUC: 0.80 [95% CI: 0.76-0.83]) and SCCA-IgM (AUC: 0.77 [95% CI: 0.74-0.83]) demonstrated similar diagnostic performance, while a combination of AFP and SCCA-IgM had an AUC of 0.90 (95% CI: 0.87-0.92) and a DOR of 22.87 (95% CI: 8.38-62.40). Meta-regression showed that patient selection, cut-off values, reference standards and tumour biopsy as the diagnostic method significantly influenced the heterogeneity of the included studies.

CONCLUSIONS

Both SCCA and SCCA-IgM showed a moderate diagnostic accuracy for HCC screening; the combination of SCCA-IgM and AFP is the best diagnostic option.

The Role of Dermcidin in the Diagnosis and Staging of Hepatocellular Carcinoma

INTRODUCTION

Hepatocellular carcinoma (HCC) is a major contributor to cancer-related deaths due to its often late stage diagnosis. Our previous study showed that dermcidin (DCD) may have the potential to be used as a serum biomarker for HCC for more timely diagnoses.

MATERIALS AND METHODS

In this study, we measured serum DCD and alpha-fetoprotein (AFP) levels in 87 HCC patients; 33 liver cirrhosis (LC); and 44 normal controls (NC), evaluated the relationship between DCD levels and clinicopathological parameters.

RESULTS

Serum DCD levels in HCC patients (27.03 ng/mL) were significantly higher than in LC patients (24.78 ng/mL, p < 0.05), and NC subjects (18.98 ng/mL, p < 0.001). The optimum cutoff values were 25.75 ng/mL for DCD and 9.86 ng/mL for AFP. DCD had a greater area under the receiver operating characteristic curve (AUC) for differentiating HCC from the controls than AFP (AUC = 0.769 vs. 0.729, respectively). Importantly, our cohort revealed that serum DCD levels were positively correlated with metastasis in HCC patients versus HCC patients without metastatic disease (32.31 vs. 23.95, p < 0.001). Western blot results showed that DCD expression was significantly upregulated in seven tumor tissues compared with the noncancerous adjacent tissues. Immunohistochemistry performed in four paired samples confirmed the upregulation of DCD expression in the tumor tissues.

CONCLUSIONS

Our results showed that serum DCD levels were significantly increased in HCC patients and in cancerous tissue. DCD could potentially be used as a biomarker for the diagnosis of HCC.

Current Status and Future Prospects of Biomarkers in the Diagnosis of Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) has one of the highest death rates of any cancer in the world, and its incidence is increasing worldwide. Early-stage diagnosis of HCC is thus crucial for medical treatment. Detection of tumor biomarkers is one of the main methods for the early diagnosis of HCC. At present, α-fetoprotein (AFP) is the most practical serum biomarker for HCC diagnosis. However, the diagnostic accuracy of HCC with serum AFP exhibits both sensitivity and specificity far below satisfaction, especially with small sizes of HCC. As a result, the discovery of new biomarkers and/or their combination to enhance both the sensitivity and specificity for laboratory diagnosis of HCC is a crucial goal. With the development of new technology and advances in research, a number of new and specific biomarkers of HCC have been discovered. These biomarkers and their applications for the diagnosis, treatment monitoring and prognosis prediction of HCC, are reviewed in this article.

"Stealth dissemination" of macrophage-tumor cell fusions cultured from blood of patients with pancreatic ductal adenocarcinoma

Here we describe isolation and characterization of macrophage-tumor cell fusions (MTFs) from the blood of pancreatic ductal adenocarcinoma (PDAC) patients. The MTFs were generally aneuploidy, and immunophenotypic characterizations showed that the MTFs express markers characteristic of PDAC and stem cells, as well as M2-polarized macrophages. Single cell RNASeq analyses showed that the MTFs express many transcripts implicated in cancer progression, LINE1 retrotransposons, and very high levels of several long non-coding transcripts involved in metastasis (such as MALAT1). When cultured MTFs were transplanted orthotopically into mouse pancreas, they grew as obvious well-differentiated islands of cells, but they also disseminated widely throughout multiple tissues in "stealth" fashion. They were found distributed throughout multiple organs at 4, 8, or 12 weeks after transplantation (including liver, spleen, lung), occurring as single cells or small groups of cells, without formation of obvious tumors or any apparent progression over the 4 to 12 week period. We suggest that MTFs form continually during PDAC development, and that they disseminate early in cancer progression, forming "niches" at distant sites for subsequent colonization by metastasis-initiating cells.

Diagnostic value of serum squamous cell carcinoma antigen for hepatocellular carcinoma: a systematic review and meta-analysis

The aim of this study was to ascertain the diagnostic value of serum squamous cell carcinoma antigen (SCCA) and SCCA-IgM for hepatocellular carcinoma (HCC). After a comprehensive search of PubMed and Web of Science databases, we identified eligible studies on the diagnostic value serum SCCAs for HCC. The quality of the eligible studies was assessed using the revised Quality Assessment for Studies of Diagnostic Accuracy (QUADAS-2) tool. The overall diagnostic value of SCCAs for HCC was pooled using a bivariate model. Twelve studies were included in this systematic review and meta-analysis. The pooled sensitivities for SCCA and SCCA-IgM were 0.61 (95% confidence interval [CI], 0.37-0.81) and 0.70 (95% CI, 0.55-0.82), respectively. The corresponding specificities were 0.80 (95% CI, 0.52-0.94) and 0.62 (95% CI, 0.51-0.72), respectively. The areas under summary receiver operating characteristic (sROC) curves for SCCA and SCCA-IgM were 0.76 (95% CI, 0.72-0.80) and 0.70 (95% CI, 0.66-0.74), respectively. Major design deficiencies of the included studies were two-gate design and partial verification bias. Therefore, we concluded that both serum SCCA and SCCA-IgM have a fair diagnostic value for HCC.

Serum protein biomarkers relevant to hepatocellular carcinoma and their detection

Hepatocellular carcinoma (HCC) is one of the most recurrent and lethal cancers worldwide. The low survival rate of this particular strain of carcinoma is largely due to the late stages at which it is diagnosed. Tumorigenesis of hepatocellular carcinoma is most frequently detected through ultrasonography, magnetic resonance imaging and computerized tomography scans, however, these methods are poor for detection of early tumor development. This review presents alternative hepatocellular carcinoma detection techniques through the use of protein and enzyme/isozyme biomarkers. The detection methods used to determine the serum levels of α-fetoprotein (AFP), glypican-3 (GPC3), Golgi protein 73 (GP73), α-L-fucosidase (AFU), des-γ-carboxyprothrombin (DCP), γ-glutamyl transferase (GGT) and squamous cell carcinoma antigen (SCCA) are presented and each marker's respective validity in the diagnosis of hepatocellular carcinoma is evaluated.

Diagnostic and therapeutic management of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is an increasing health problem, representing the second cause of cancer-related mortality worldwide. The major risk factor for HCC is cirrhosis. In developing countries, viral hepatitis represent the major risk factor, whereas in developed countries, the epidemic of obesity, diabetes and nonalcoholic steatohepatitis contribute to the observed increase in HCC incidence. Cirrhotic patients are recommended to undergo HCC surveillance by abdominal ultrasounds at 6-mo intervals. The current diagnostic algorithms for HCC rely on typical radiological hallmarks in dynamic contrast-enhanced imaging, while the use of α-fetoprotein as an independent tool for HCC surveillance is not recommended by current guidelines due to its low sensitivity and specificity. Early diagnosis is crucial for curative treatments. Surgical resection, radiofrequency ablation and liver transplantation are considered the cornerstones of curative therapy, while for patients with more advanced HCC recommended options include sorafenib and trans-arterial chemo-embolization. A multidisciplinary team, consisting of hepatologists, surgeons, radiologists, oncologists and pathologists, is fundamental for a correct management. In this paper, we review the diagnostic and therapeutic management of HCC, with a focus on the most recent evidences and recommendations from guidelines.

Serum DLK1 is a potential prognostic biomarker in patients with hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is the sixth most prevalent cancer and the third most frequent cause of cancer-related death in developing countries, especially in East Asia and South Africa, and the identification of new biomarkers for early diagnosis and prognosis is needed. Delta-like 1 homologue (Drosophila) (DLK1) is expressed in malignancies and promotes cancer cell stemness and tumourigenicity, which makes this molecule a potential target for therapies directed against cancer stem/progenitor cells. Here, we aimed to assess the predictive value of DLK1 as a diagnostic and prognostic biomarker in HCC. With this purpose, serum DLK1 levels were detected using an enzyme-linked immunosorbent assay (ELISA) in serum specimens from 397 HCC patients, 114 healthy individuals, 43 patients with chronic hepatitis B virus (HBV) infection and 24 cirrhotic liver patients with HBV infection, and the correlation between DLK1 levels and clinical features was evaluated. Our data showed that the serum DLK1 level was significantly higher in HCC patients than in healthy individuals or patients with chronic HBV infection (HBV carriers) (P < 0.05). Moreover, the serum DLK1 levels were positively correlated with tumour size and α-fetoprotein (AFP) levels, but not with gender, age, histological grade, HBV infection, intrahepatic metastasis or cirrhosis in HCC patients. Kaplan-Meier analysis indicated that higher DLK1 levels were associated with shorter survival in HCC patients. These results suggest that the serum levels of DLK1 may serve as a prognostic biomarker for HCC patients.

Squamous cell carcinoma antigen in hepatocellular carcinoma: Ready for the prime time?

Hepatocellular carcinoma (HCC) is the most common form of primary liver cancer and the third cause of cancer deaths. The leading predisposing condition is represented by an underlying viral hepatitis, mainly sustained by hepatitis B and C viruses. Since the cumulative risk of developing HCC can be as high as 30-fold in patients with infectious cirrhosis, a timely diagnosis is necessary for establishing an appropriate treatment in these patients. The armamentarium of diagnostic and prognostic biomarkers in patients with HCC currently entails alpha-fetoprotein (AFP) and a limited number of innovative biomarkers, among which squamous cell carcinoma antigen (SCCA) and its immune complexes are among the most widely investigated. The clinical data published so far and reviewed in this article seemingly suggest that neither total serum SSCA or its isoform 1 (i.e., SCCA1) may be ready for the prime time for management of patients with HCC. More interesting evidence has emerged from studies investigating the serum values of SCCA-IgM, since the diagnostic performance of this biomarker was found to be frequently superior to that of AFP and, even more importantly, the combination of SCCA-IgM and AFP was characterized by a much better sensitivity than either biomarker alone, with only a modest decrease of specificity. Larger studies are needed before these preliminary findings can be generalized, but the combined use of AFP and SCCA-IgM represents an appealing perspective in diagnosis and prognostication of HCC.

Current biomarkers for hepatocellular carcinoma: Surveillance, diagnosis and prediction of prognosis

Biomarkers for surveillance, diagnosis and prediction of prognosis in patients with hepatocellular carcinoma (HCC) are currently not ready for introduction into clinical practice because of limited sensitivity and specificity. Especially for the early detection of small HCC novel biomarkers are needed to improve the current effectiveness of screening performed by ultrasound. The use of high-throughput technologies in hepatocellular research allows to identify molecules involved in the complex pathways in hepatocarcinogenesis. Several invasive and non-invasive biomarkers have been identified already and have been evaluated in different clinical settings. Gene signatures with prognostic potential have been identified by gene expression profiling from tumor tissue. However, a single “all-in-one” biomarker that fits all-surveillance, diagnosis, prediction of prognosis-has not been found so far. The future of biomarkers most probably lies in a combination of non-invasive biomarkers, imaging and clinical parameters in a surveillance setting. Molecular profiling of tumorous and non-tumorous liver tissue may allow a prediction of prognosis for the individual patient and hopefully clear the way for individual treatment approaches. This article gives an overview on current developments in biomarker research in HCC with a focus on currently available and novel biomarkers, in particular on microRNA.