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A 54-year-old man with a past history of splenectomy some 20 years previously presented with a hepatic mass. Subsequent histopathology revealed that the mass was due to intrahepatic splenosis. The presentation of this case is discussed together with a literature review of splenosis.

Portal vein tumor thrombus (PVTT) is very common and it plays a major role in the prognosis and clinical staging of hepatocellular carcinoma (HCC). We have published the first version of the guideline in 2016 and revised in 2018. Over the past several years, many new evidences for the treatment of PVTT become available, especially for the advent of new targeted drugs and immune checkpoint inhibitors which have further improved the prognosis of PVTT. So, the Chinese Association of Liver Cancer and Chinese Medical Doctor Association revised the 2018 version of the guideline to adapt to the development of PVTT treatment. Future treatment strategies for HCC with PVTT in China would depend on new evidences from more future clinical trials.

Primary liver cancer remains a significant global public health challenge, characterized by persistently high incidence and mortality. This review synthesizes current epidemiological data to analyze trends and etiological shifts, with particular emphasis on China, which bears over 40% of the global burden. Findings highlight a transition in dominant risk factors from viral hepatitis to metabolic dysfunction‐associated steatotic liver disease (MASLD), alongside persistent threats from aflatoxin exposure and lifestyle behaviors. Evidence‐based prevention strategies, including universal hepatitis B virus (HBV) vaccination, antiviral therapy expansion, aflatoxin control, and early metabolic intervention, are critical to reducing disease burden. The integration of artificial intelligence into screening and management represents a promising advancement. A multi‐faceted approach combining vaccination, surveillance, lifestyle modification, and technological innovation is essential for effective global liver cancer control. Primary liver cancer remains a major global health burden, with China accounting for over 40% of cases. The predominant etiology is shifting from viral hepatitis to metabolic dysfunction‐associated steatotic liver disease (MASLD), while aflatoxin exposure and unhealthy lifestyles remain important contributors. Comprehensive control strategies—including HBV vaccination, antiviral therapy, metabolic risk management, and AI‐assisted screening—are essential to reduce incidence and mortality.

Background and aimsTh1/Th2-like cytokine mRNA levels in non-cancerous hepatic tissues from patients with hepatocellular carcinoma (HCC) are associated with metastases and recurrence. This study evaluated the prognostic values of intratumoral and peritumoral Th1/Th2 cytokine protein levels in patients with HCC after curative resection.MethodsTwo independent cohorts (A and B) of 453 patients with HCC were enrolled. Twelve Th1/Th2 cytokines in tumour and peritumoral hepatic tissues from cohort A (n=192) were quantified with enzyme-linked immunosorbent assays. This cohort was split into training and test sets which were used to identify and verify the prognostic cytokines. The prognostic values of identified cytokines were further validated in cohort B (n=261) using tissue microarray and immunohistochemical staining.ResultsIn the training set, higher interleukin (IL)-2 and IL-15 levels in peritumoral liver tissues, but not in tumour tissues, were significantly associated with a decreased incidence of recurrence of intrahepatic tumour and a prolonged overall survival. This association was verified in the testing set and further validated in patients in cohort B. Importantly, this correlation remained significant in patients with early HCC. Univariate and multivariate analyses indicated that the prognostic performance of peritumoral IL-2 (HR for recurrence=0.4, 95% CI 0.3 to 0.6, p<0.0001; HR for death=0.6, 95% CI 0.4 to 0.8, p=0.005) and IL-15 (HR for recurrence=0.7, 95% CI 0.5 to 0.95, p=0.025) was independent of other clinicopathological factors.ConclusionPeritumoral IL-2 and IL-15 levels are useful for stratifying patients, even those with early-stage HCC, into subgroups with different prognoses after curative resection.

Purpose The occurrence of cancer accompanies with changes in glycosylation of related proteins. A simple, rapid and high-throughput manner analyzing the N -glycan moiety is needed in the cancer glycoproteome study. Methods Gel-slide was used as solid support of lectin microarray. We fabricated the lectin microarray with selected lectins to identify the N -glycan compositions of glycoproteins, to determine the individual N -glycan pattern of several glycoproteins and to compare the N -glycan compositions of alpha-fetoproteins (AFPs) from different sources. Results It is feasible to analyze N -glycan pattern of glycoproteins with the lectin affinity microarray. The optimum loading concentration of lectins in this array is 1 mg/ml. The lectin microarray is sensitive, and it can even detect tested glycoprotein less than 1 pg. There is a linear relationship between the fluorescence intensity and the cy3 concentration of glycoprotein at the range from 10 to 1,000 nM. Conclusion The lectin microarray could give a panel of lectin affinity patterns of individual glycoproteins, and it could indicate the minimal differences of N -glycan compositions between AFPs from different sources. The developed lectin affinity microarray may contribute to the research of glycoproteomics associated with cancer and other diseases.

Dissecting and understanding the cancer ecosystem, especially that around the tumor margins, which have strong implications for tumor cell infiltration and invasion, are essential for exploring the mechanisms of tumor metastasis and developing effective new treatments. Using a novel tumor border scanning and digitization model enabled by nanoscale resolution-SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq), we identified a 500 µm-wide zone centered around the tumor border in patients with liver cancer, referred to as “the invasive zone”. We detected strong immunosuppression, metabolic reprogramming, and severely damaged hepatocytes in this zone. We also identified a subpopulation of damaged hepatocytes with increased expression of serum amyloid A1 and A2 (referred to collectively as SAAs) located close to the border on the paratumor side. Overexpression of CXCL6 in adjacent malignant cells could induce activation of the JAK-STAT3 pathway in nearby hepatocytes, which subsequently caused SAAs’ overexpression in these hepatocytes. Furthermore, overexpression and secretion of SAAs by hepatocytes in the invasive zone could lead to the recruitment of macrophages and M2 polarization, further promoting local immunosuppression, potentially resulting in tumor progression. Clinical association analysis in additional five independent cohorts of patients with primary and secondary liver cancer ( n  = 423) showed that patients with overexpression of SAAs in the invasive zone had a worse prognosis. Further in vivo experiments using mouse liver tumor models in situ confirmed that the knockdown of genes encoding SAAs in hepatocytes decreased macrophage accumulation around the tumor border and delayed tumor growth. The identification and characterization of a novel invasive zone in human cancer patients not only add an important layer of understanding regarding the mechanisms of tumor invasion and metastasis, but may also pave the way for developing novel therapeutic strategies for advanced liver cancer and other solid tumors.

To screen potential serological biomarkers and develop decision tree classifications of chronic hepatitis B, liver cirrhosis (LC) and hepatocellular carcinoma (HCC), respectively, with high prediction score for improving diagnosis of liver diseases. The total serum samples were randomly divided into three training sets (41 HBV and 35 health; 36 LC and 35 health; 39 HCC and 35 health) and three testing groups (34 HBV and 38 health; 18 LC and 52 health; 42 HCC and 47 health). Selected WCX2 protein chip capture followed by SELDI-TOF-MS analysis was applied to generate the serum protein profiles. Subsequently serum protein spectra were normalized and aligned by Ciphergen SELDI Software 3.1.1 with Biomarker Wizard including baseline subtraction, mass accuracy calibration, automatic peak detection. Once the intensities of selected significant peaks from the training data set were transferred to further BPS analysis, an optimized classification tree with sequence-decision was established to divide training data set into disease group and control group successfully. A double blind test was employed to determine the clinical sensitivity and clinical specificity of three models. After comparative analysis of SELDI based serum protein profile between the cases of disease and healthy, a HCC decision tree classification with sensitivity of 94.872% and specificity of 94.286%; a LC decision tree classification with sensitivity of 91.667% and specificity of 94.286% and a HBV decision tree classification with sensitivity of 95.122% and specificity of 94.286% were produced by BPS respectively. When three decision tree models were challenged by the double-blind test samples, clinical sensitivity and clinical specificity of these models were predicted in diagnosis of three liver diseases (HCC: 90.48 and 89.36%; cirrhosis: 100 and 86.5%; HBV: 85.29 and 84.21%). SELDI-based decision tree classifications showed great advantages over conventional serological biomarkers in the diagnosis of chronic hepatitis B, LC as well as HCC.

To study the role of beta-catenin gene mutation and expression in hepatocellular carcinogenesis. Thirty-four hepatocellular carcinoma (HCC) specimens and adjacent para-cancerous tissues, and four normal liver tissues were analyzed. Subcellular distribution of beta-catenin was examined by immunohistochemistry staining. Mutation and semiquantitative expression of beta-catenin gene exon 3 mRNA were detected by RT-PCR-SSCP and in situ hybridization. Immunohistochemistry showed that all normal liver tissues and para-cancerous tissues examined showed membranous-type staining for beta-catenin protein, frequently with weak expression in the cytoplasm, but no beta-catenin accumulation in nuclei was found; while in liver cancer, 21 cases (61.8%) of HCC examined showed accumulated type in cytoplasms or nuclei. On SSCP, 15 cases (44.1%) of HCC altogether displayed three kinds of characteristic mutational mobility shifts. No abnormal shifting bands were found in tissues from normal liver or para-cancerous area. The beta-catenin gene exon 3 mRNA expression index of 34 HCCs was higher than that of para-cancerous tissue and normal liver tissue. Using in situ hybridization, the signal corresponding to beta-catenin gene exon 3 mRNA was particularly strong in cytoplasm of HCC when compared with those of paracancerous tissues and normal liver tissues. beta-catenin gene mutation and overexpression may have a critical role in malignant progression of hepatic carcinogenesis among Chinese people.

Recently, we have analyzed expressional transcriptome and proteome for a number of cancer cell lines, including 8 hepatocellular carcinoma （HCC） ones [1,2]. These 8 HCC cell lines consist of 6 metastatic （all with mutant p53） and 2 non-metastatic （with a mutant and a lost p53） ones, being all HBV traceable for relatively close genetic-backgrounds. We have analyzed the related dataset and obtained transcrip- tome （16353 genes） and proteome （7861 proteins） of these 8 HCC cell lines, and explored a group of up-regulated and down-regulated genes [3].

We established an in vitro 3-D model of metastatic hepatocellular carcinoma (HCC) by culturing MHCC97H cells on molecular scaffolds within a rotating wall vessel bioreactor. Morphological and biochemical analyses revealed that the 3-D HCC model mirrored many clinical pathological features of HCC in vivo, including cancer cell morphology, tissue ultrastructure, protein production and secretion, glucose metabolism, tissue-specific gene expression, and apoptosis. Xenografts into livers of nude mice resulted in tumorigenesis and distant metastasis. This 3-D HCC spheroid is a promising model for HCC tumor biology, anticancer drug screening, and for the establishment of HCC animal models.