2D transparent few-layered hydrogen substituted graphdiyne nano-interface for unprecedented ultralow ANXA2 cancer biomarker detection.

Herein, we report synthesis of 2D few-layered transparent hydrogen substituted graphdiyne (HsGDY) nanosheets and explored its electrochemical characteristics for the first time to develop a nano-interface for cancer biomarker detection [liver cancer (LC) biomarker; ANXA2]. The semiconducting HsGDY (band gap; 1.98 eV) contains considerable number of sp and sp2 hybridised π-electrons with abundant hierarchical pores, thus reveals a negative peripheral charge and high surface area respectively, making it competent to immobilize mass anti-ANXA2 antibodies. The nano-interface platform is fabricated through electrophoretic deposition of HsGDY onto indium tin oxide (ITO) coated glass substrate (50V, 60s) with subsequent immobilization of anti-ANXA2 biomolecules and bovine serum albumin (BSA) to minimize non-specific binding. The pristine HsGDY and fabricated electrodes were characterized using spectroscopic, microscopic, zetasizer, surface area and pore size analyzer as well as electrochemical techniques. The electrochemical response of fabricated HsGDY nano-interface based biosensing platform (BSA/anti-ANXA2/HsGDY/ITO) is investigated via cyclic voltammetry (CV) and differential pulse voltammetry (DPV) techniques, which covers a wider linear detection range in between 0.01 fg mL-1 to 1000 ng mL-1 along with an exceptional sensitivity of 13.8 µA [log (ng mL-1)]-1 cm-2 and 2.8 µA [log (ng mL-1)]-1 cm-2 via CV and DPV techniques, respectively. This developed biosensor has the ability for unprecedented ultralow level i.e., upto 3 molecules of ANXA2 cancer biomarker detection. Moreover, the obtained electrochemical results show excellent correlation with the concentration of ANXA2 cancer biomarker present in LC patients obtained through enzyme linked immunosorbent assay (ELISA) technique.

Subtyping of hepatocellular adenoma: a machine learning-based approach.

Subtyping of hepatocellular adenoma (HCA) is an important task in practice as different subtypes may have different clinical outcomes and management algorithms. Definitive subtyping is currently dependent on immunohistochemical and molecular testing. The association between some morphologic/clinical features and HCA subtypes has been reported; however, the predictive performance of these features has been controversial. In this study, we attempted machine learning based methods to select an efficient and parsimonious set of morphologic/clinical features for differentiating a HCA subtype from the others, and then assessed the performance of the selected features in identifying the correct subtypes. We first examined 50 liver HCA resection specimens collected at the University of Washington and Kobe University/Kings College London, including HNF1α-mutated HCA (H-HCA) (n = 16), inflammatory HCA (I-HCA) (n = 20), beta-catenin activated HCA (ß-HCA) (n = 8), and unclassified HCA (U-HCA) (n = 6). Twenty-six morphologic/clinical features were assessed. We used LASSO (least absolute shrinkage and selection operator) to select key features that could differentiate a subtype from the others. We further performed SVM (support vector machine) analysis to assess the performance (sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy) of the selected features in HCA subtyping in an independent cohort of liver resection samples (n = 20) collected at the University of Wisconsin-Madison. With some overlap, different combinations of morphologic/clinical features were selected for each subtype. Based on SVM analysis, the selected features classified HCA into correct subtypes with an overall accuracy of at least 80%. Our findings are useful for initial diagnosis and subtyping of HCA, especially in clinical settings without access to immunohistochemical and molecular assays.

Comprehensive clinicopathologic study of alpha fetoprotein-expression in a large cohort of patients with hepatocellular carcinoma.

Alpha fetoprotein (AFP) is the most widely used diagnostic and prognostic serum biomarker for hepatocellular carcinoma (HCC). Despite its wide clinical use, a systematic clinicopathologic study comparing AFP expression in HCC in situ with serum AFP concentrations has not yet been conducted. To analyze AFP expression in a large cohort of patients by immunohistochemistry, we employed a comprehensive tissue microarray with 871 different HCCs of overall 561 patients. AFP immunoreactivity was detected in only about 20% of HCC core biopsies, whereas 48.9% of the patients displayed increased serum values (>12 ng/mL). Immunostaining of whole tumor slides revealed that lack of detectable immunoreactivity in core biopsies in a subgroup of patients with elevated AFP serum concentrations is due to heterogeneous intratumoral AFP expression. Serum AFP concentrations and AFP expression in situ were moderately correlated (Spearman's rank correlation coefficient .53, P = 1.2e - 13). High AFP expression detected in serum (>227.3 ng/mL) or in situ predicted unfavorable prognosis and was associated with vascular invasion, higher tumor grade and macrotrabecular-massive tumor subtype. Multivariate and ROC curve analysis demonstrated that high AFP concentrations in serum is an independent prognostic parameter and represents the more robust prognostic predictor in comparison to AFP immunostaining of core biopsies. The previously published vessels encapsulating tumor clusters (VETC) pattern turned out as an additional, statistically independent prognostic parameter. AFP-positivity was associated with increased tumor cell apoptosis, but not with increased vascular densities. Additionally, AFP-positive tumors displayed increased proliferation rates, urea cycle dysregulation and signs of genomic instability, which may constitute the basis for their increased aggressiveness.

HOXD10 expression as a prognostic factor for hepatocellular carcinoma treated with curative resection.

PURPOSE: HOXD10 downregulation resulting from epigenetic changesas well as its role as a tumor suppressor have been reported in several cancers including hepatocellular carcinomas (HCCs). However, the prognostic role of HOXD10 expression in HCC tissue samples has not been evaluated. METHODS: HOXD10 expression was investigated in 278 curatively resected HCC samples using immunohistochemistry and its effectiveness in predicting patient outcome was analyzed. RESULTS: Low expression of HOXD10 was observed in 82.7% of HCC samples, and this was associated with increased age, large tumor size and advanced stage.HOXD10 was an independent predictive factor for early tumor recurrence at less than 2 years. Patients with low HOXD10 expression showed shorter recurrence-free survival (RFS) (p=0.024) and disease-specific survival (DSS) (p=0.016) than those with high expression. Multivariate analysis confirmed that low HOXD10 expression was an independent predictor of shorter RFS (hazard ratio 1.873, p=0.006) and DSS (hazard ratio2.504, p=0.012) than high HOXD10 expression. CONCLUSIONS: The present study provides clinical evidence supporting the use of HOXD10 as a prognostic biomarker in curatively resected HCCs, and suggests that HOXD10 could also be a potential therapeutic target in HCC.

Pembrolizumab plus lenvatinib with or without hepatic arterial infusion chemotherapy in selected populations of patients with treatment-naive unresectable hepatocellular carcinoma exhibiting PD-L1 staining: a multicenter retrospective study.

BACKGROUND: Not all patients with unresectable hepatocellular carcinoma (uHCC) benefit from treatment with immune checkpoint inhibitors and molecular-targeted agents. The aim of this retrospective study was to assess the efficacy and safety of pembrolizumab plus lenvatinib plus hepatic arterial infusion chemotherapy (HAIC) versus pembrolizumab plus lenvatinib in selected populations of patients with treatment-naive uHCC exhibiting programmed cell death ligand-1 (PD-L1) staining. METHODS: Consecutive patients with treatment-naive uHCC exhibiting PD-L1 staining who were treated with pembrolizumab plus lenvatinib plus HAIC (PLH) or pembrolizumab plus lenvatinib (PL) were retrospectively identified from our medical centres from 2018 to 2021. HAIC involved oxaliplatin, fluorouracil, and leucovorin (FOLFOX). Follow-up occurred every 3 weeks for 1 year and then every 6 weeks thereafter. The primary endpoints included overall survival (OS) and progression-free survival (PFS). Secondary endpoints were the frequency of key adverse events (AEs). RESULTS: In total, 248 treatment-naive patients were retrospectively reviewed, 78 of whom were ineligible on the basis of the current criteria. Thus, 170 patients (PLH: n = 84, median age 52 years [range, 42-67]; PL: n = 86, 53 years [range, 43-69]) were eligible for the analysis. The median follow-up was 18.6 months (range, 1-26). At the final follow-up, the median OS was 17.7 months (95% confidence interval [CI], 15.2-18.3) in the PLH group versus 12.6 months (95% CI, 11.1-13.7) in the PL group (hazard ratio [HR] 0.52; 95% CI, 0.36-0.75; p = 0.001). A significant difference was also detected in the median PFS (10.9 months [95% CI, 8.7-11.4] for PLH vs. 6.8 months (95% CI, 5.2-7.4) for PL; HR 0.61, 95% CI, 0.43-0.85; p = 0.001). Significant differences in the rate of the key AEs were noted between groups (79.8% for PLH vs. 62.8% for PL, p = 0.015), but these AEs were controllable. CONCLUSIONS: Among selected populations of patients with treatment-naive uHCC exhibiting PD-L1 staining, the PLH regimen may substantially improve the survival benefits compared with the PL regimen with a controllable safety profile.

Secretory breast carcinoma in a female adult with liver metastsis: a case report and literature review.

BACKGROUND: Secretory breast carcinoma is an uncommon subset of breast cancer that usually has a favorable outcome. Although initially described in children, it also occurs in adults where it may metastasize, possibly resulting in death. To date, only 20 cases of secretory breast carcinoma with distant metastases have been described. CASE PRESENTATION: A 42-year-old female presented with liver metastasis after modified radical mastectomy of the left breast in 2008 at 34 years of age. The liver metastasis was morphologically similar to the primary tumor. Pan-TRK and Fluorescence in situ hybridization showed a rearrangement in the ETV6 gene. She subsequently underwent adjuvant chemotherapy with a fatal outcome. CONCLUSIONS: Although secretory breast carcinoma is usually associated with favorable outcomes, our study and reviews provide a novel insight into the genetic spectrum and treatment of secretory breast carcinoma showing reduced expression of hormone receptors, abnormal genomic profiles, and possible poor prognosis. Targeted therapy may curb clinically aggressive cases. Additional molecular investigations are needed to determine the links between specific mutations and poor prognosis.

Integrated LC-MS metabolomics with dual derivatization for quantification of FFAs in fecal samples of hepatocellular carcinoma patients.

FFAs display pleiotropic functions in human diseases. Short-chain FAs (SCFAs), medium-chain FAs, and long-chain FAs are derived from different origins, and precise quantification of these FFAs is critical for revealing their roles in biological processes. However, accessing stable isotope-labeled internal standards is difficult, and different chain lengths of FFAs challenge the chromatographic coverage. Here, we developed a metabolomics strategy to analyze FFAs based on isotope-free LC-MS-multiple reaction monitoring integrated with dual derivatization. Samples and dual derivatization internal standards were synthesized using 2-dimethylaminoethylamine or dansyl hydrazine as a "light" label and N,N-diethyl ethylene diamine or N,N-diethyldansulfonyl hydrazide as a "heavy" label under mild and efficient reaction conditions. General multiple reaction monitoring parameters were designed to analyze these FFAs. The limit of detection of SCFAs varied from 0.5 to 3 nM. Furthermore, we show that this approach exhibits good linearity (R2 = 0.99374-0.99929), there is no serious substrate interference, and no quench steps are required, confirming the feasibility and reliability of the method. Using this method, we successfully quantified 15 types of SCFAs in fecal samples from hepatocellular carcinoma patients and healthy individuals; among these, propionate, butyrate, isobutyrate, and 2-methylbutyrate were significantly decreased in the hepatocellular carcinoma group compared with the healthy control group. These results indicate that the integrated LC-MS metabolomics with isotope-free and dual derivatization is an efficient approach for quantifying FFAs, which may be useful for identifying lipid biomarkers of cancer.

Efficacy of expressions of Arg-1, Hep Par-1, and CK19 in the diagnosis of the primary hepatocellular carcinoma subtypes and exclusion of the metastases.

Many conflicts arise using immunohistochemistry of Hepatocellular carcinoma (HCC), some of these conflicts arise from the biliary part within the tumor itself or from liver metastasis. The aim of this study is to investigate the extent of Arg-1, HepPar-1, and CK-19 expressions in the primary HCC subtypes as well as studying of some metastatic cases to find a distinctive immunohistochemical panel utilizing it to differentiate between these entities. MATERIAL AND METHODS: A paraffin-embedded block including 62 cases of primary HCC, and 18 cases diagnosed as metastatic tumors, were subjected for this study using Anti-liver Arginase antibody (ab125134 Cambridge, USA, polyclonal antibody, 3.75 µg/ml), HepPar-1 (polyclonal mouse antibody OCH1E5; 1:600; DAKO, CA, USA), and CK 19 Anti-Cytokeratin 19 antibody (ab15463, rabbit polyclonal antibody; 1:100; Cambridge, USA). The intensity of immunostaining was scored (0 to 3+). Nuclear and cytoplasmic staining with Arg-1 and cytoplasmic for both HepPar-1 and CK 19 are reported. RESULTS: The histopathological patterns were mainly trabecular no= (24, 38.7%), and pseudoglandular (no=14, 22.5%), mixed hepatocellular cholangiocarcinoma was observed in one case (1.6%). Arginase-1 positivity was in 55 cases (88.7%) opposite to 46 (74.19%) and 8 (12.9%) for HepPAr.1% -1 and CK 19, respectively. The intensity of expression was marked in well and moderate differentiation for Arg-1 and HepPar-1and in poorly differentiated for CK 19. Metastatic carcinoma cases revealed two cases positive for Arg-1 (11.1%), 4 cases (22.2%) positive for HepPar-1, and 13 cases (72.2%) positive for CK 19. CONCLUSION: Arg-1 and HepPar-1 are confirmative in the diagnosis of primary HCC in most cases, either separately or collectively but the priority of selection leans more towards Arg-1. Arg-1 and HepPar-1 positive with negative CK 19 expressions give more support to diagnosis of primary HCC while the reverse will support the diagnosis of tumour of biliary origin or liver metastasis.

Pediatric Hepatocellular Adenomas: The Influence of Age and Syndrome on Subtype.

Hepatocellular adenomas are rare in children. A large study focused on pediatric patients has not been undertaken. A natural language search was performed at 5 institutions for hepatocellular adenomas in patients younger than 21 years old. Clinical characteristics as well as immunohistochemical staining profile was reviewed and adenomas subtyped per standard classification. Patients were divided into prepubescent and postpubescent age group. Thirty-one patients were included. Eleven (35%) were male and 10 (32%) were prepubescent. Fifteen (54%) of 28 patients with known clinical histories had adenomas associated with a syndrome. The percentage of the different adenoma subtypes was: 16% ß-catenin activated, 10% combined inflammatory and ß-catenin activated, 29% HFN1α-inactivated, 35% inflammatory, and 10% unclassified subtype by immunohistochemical staining. Interestingly 53% of patients with syndromes were male, while 85% of patients in the nonsyndromic group were female. The total number of ß-catenin activated tumors was greater in the syndromic group (5/15, 33%) and prepubescent group (5/10, 50%) than in the nonsyndromic group (2/13, 16%) and postpubescent group (3/21, 14%), P=0.4 and 0.07, respectively. Inflammatory type adenoma was more frequent in the postpubescent (10/21, 48%) than in the prepubescent group (1/10, 10%), P=0.06, trending toward significance. Pediatric patients with hepatocellular adenomas frequently have syndromes, especially in the prepubescent group. In patients with syndromes a greater percentage of adenomas were ß-catenin activated. In patients without a known syndrome the distribution of hepatocellular adenoma subtypes appears similar to adults.

Pharmacodynamic Biomarkers Predictive of Survival Benefit with Lenvatinib in Unresectable Hepatocellular Carcinoma: From the Phase III REFLECT Study.

PURPOSE: In REFLECT, lenvatinib demonstrated an effect on overall survival (OS) by confirmation of noninferiority to sorafenib in unresectable hepatocellular carcinoma. This analysis assessed correlations between serum or tissue biomarkers and efficacy outcomes from REFLECT. EXPERIMENTAL DESIGN: Serum biomarkers (VEGF, ANG2, FGF19, FGF21, and FGF23) were measured by ELISA. Gene expression in tumor tissues was measured by the nCounter PanCancer Pathways Panel. Pharmacodynamic changes in serum biomarker levels from baseline, and associations of clinical outcomes with baseline biomarker levels, were evaluated. RESULTS: Four hundred and seven patients were included in the serum analysis set (lenvatinib n = 279, sorafenib n = 128); 58 patients were included in the gene-expression analysis set (lenvatinib n = 34, sorafenib n = 24). Both treatments were associated with increases in VEGF; only lenvatinib was associated with increases in FGF19 and FGF23 at all time points. Lenvatinib-treated responders had greater increases in FGF19 and FGF23 versus nonresponders at cycle 4, day 1 (FGF19: 55.2% vs. 18.3%, P = 0.014; FGF23: 48.4% vs. 16.4%, P = 0.0022, respectively). Higher baseline VEGF, ANG2, and FGF21 correlated with shorter OS in both treatment groups. OS was longer for lenvatinib than sorafenib [median, 10.9 vs. 6.8 months, respectively; HR, 0.53; 95% confidence interval (CI), 0.33-0.85; P-interaction = 0.0397] with higher baseline FGF21. In tumor tissue biomarker analysis, VEGF/FGF-enriched groups showed improved OS with lenvatinib versus the intermediate VEGF/FGF group (HR, 0.39; 95% CI, 0.16-0.91; P = 0.0253). CONCLUSIONS: Higher baseline levels of VEGF, FGF21, and ANG2 may be prognostic for shorter OS. Higher baseline FGF21 may be predictive for longer OS with lenvatinib compared with sorafenib, but this needs confirmation.

The Expression of PEDF and its Putative Receptors in Hepatocellular Carcinoma and Background Liver Tissue.

BACKGROUND/AIM: Hepatocellular carcinoma (HCC) remains one of the biggest medical issues. Pigment epithelial-derived factor (PEDF) is a glycoprotein that belongs to the superfamily of serine protease inhibitors. PEDF interacts with its two receptors, adipose triglyceride lipase (ATGL) and laminin receptor (LR). MATERIALS AND METHODS: We conducted immunohistochemical staining for PEDF, LR and ATGL in 151 resected HCCs and their background liver tissues. RESULTS: High expression of LR in HCC was associated with high histological grade and portal vein invasion, while high expression of PEDF in HCC was associated with absence of portal vein invasion. High LR expression in background liver was statistically associated with low serum albumin levels and was an independent prognostic factor of worse outcomes. No cases with more than 5% fatty degeneration in the background liver tissue showed high PEDF expression. CONCLUSION: PEDF/LR/ATGL could be potential biomarkers in HCC and various chronic hepatic disorders.

Hedgehog-like Bi2S3 nanostructures: a novel composite soft template route to the synthesis and sensitive electrochemical immunoassay of the liver cancer biomarker.

An effective electrochemical immunosensor for detecting the liver cancer biomarker was developed based on the hedgehog-like Bi2S3 nanostructure, which was synthesized using novel CTAB-trimellitic acid as a composite soft template and thiourea as the sulfur source by a simple hydrothermal method with 20-fold sensitivity enhancement and one order of magnitude increase of linear range. The electrochemical immunosensor presented excellent performance, and could be applied to detect the cancer biomarker in clinical serum samples.

Real-time lipid patterns to classify viable and necrotic liver tumors.

Real-time tissue classifiers based on molecular patterns are emerging tools for fast tumor diagnosis. Here, we used rapid evaporative ionization mass spectrometry (REIMS) and multivariate statistical analysis (principal component analysis-linear discriminant analysis) to classify tissues with subsequent comparison to gold standard histopathology. We explored whether REIMS lipid patterns can identify human liver tumors and improve the rapid characterization of their underlying metabolic features. REIMS-based classification of liver parenchyma (LP), hepatocellular carcinoma (HCC), and metastatic adenocarcinoma (MAC) reached an accuracy of 98.3%. Lipid patterns of LP were more similar to those of HCC than to those of MAC and allowed clear distinction between primary and metastatic liver tumors. HCC lipid patterns were more heterogeneous than those of MAC, which is consistent with the variation seen in the histopathological phenotype. A common ceramide pattern discriminated necrotic from viable tumor in MAC with 92.9% accuracy and in other human tumors. Targeted analysis of ceramide and related sphingolipid mass features in necrotic tissues may provide a new classification of tumor cell death based on metabolic shifts. Real-time lipid patterns may have a role in future clinical decision-making in cancer precision medicine.

Ki-67 "hot spot" digital analysis is useful in the distinction of hepatic adenomas and well-differentiated hepatocellular carcinomas.

This study aims to investigate the utility of digital protocols for Ki-67 immunohistochemistry quantitative analysis ("hot spot" method) in the setting of well-differentiated hepatocellular neoplasms. Resection cases of typical hepatic adenomas (HAs) (n = 40), atypical HAs (n = 9), and well-differentiated hepatocellular carcinomas (WD HCCs) (n = 56) were selected. HAs were further classified by immunohistochemistry using antibodies against liver fatty acid binding protein, glutamine synthetase, B-catenin, hepatic serum amyloid A, and C-reactive protein. Ki-67 proliferative index by immunohistochemistry was evaluated in all cases by digital analysis using a modified neuroendocrine tumor "hot spot" protocol. The proliferative rate of HAs (typical, median 1.2% (range 0-7.4%) and atypical, median 1.0% (range 0.3-3%)) was significantly lower than that of WD HCCs (median 4.5%, range 0-49.8%) (P < 0.0001). Only a few (7.5%) of the adenomas (all inflammatory/telangiectatic type) had proliferative rates higher than 4%, compared to most (51%) of HCCs. Ki-67 is a potentially useful adjunct marker in the evaluation of WD hepatocellular neoplasms, as "hot spot" proliferative rates are consistently very low in HAs but vary significantly in WD HCCs.

Primary hepatic carcinoma with inhibin positivity in a young male patient: a rare tumor previously only reported in females-case report and review of literature.

Primary hepatic carcinoma with inhibin positivity is a rare aggressive liver tumor with seven cases described. The tumor presents at a younger age than primary hepatic carcinoma with all cases being females. RNA albumin ISH positivity suggests the tumor to be a primary hepatic carcinoma. The tumor is different from hepatocellular carcinoma as well as intrahepatic cholangiocarcinoma because of its distinct morphology, lack of hepatocellular differentiation, strong inhibin staining, and lack of typical mutations. A 26-year-old male presented with a 20-cm liver mass. The tumor progressed on therapy with development of multiple lung metastasis. Currently, the patient is enrolled in phase II clinical trial utilizing nivolumab and ipilumumab. While the tumor has a female preponderance, it is not exclusively found in females. Additional studies are necessary to determine the cause of inhibin staining, driving molecular alterations, natural history of this rare tumor, and to come up with consensus nomenclature.

Repeated double cross-validation applied to the PCA-LDA classification of SERS spectra: a case study with serum samples from hepatocellular carcinoma patients.

Intense label-free surface-enhanced Raman scattering (SERS) spectra of serum samples were rapidly obtained on Ag plasmonic paper substrates upon 785 nm excitation. Spectra from the hepatocellular carcinoma (HCC) patients showed consistent differences with respect to those of the control group. In particular, uric acid was found to be relatively more abundant in patients, while hypoxanthine, ergothioneine, and glutathione were found as relatively more abundant in the control group. A repeated double cross-validation (RDCV) strategy was applied to optimize and validate principal component analysis-linear discriminant analysis (PCA-LDA) models. An analysis of the RDCV results indicated that a PCA-LDA model using up to the first four principal components has a good classification performance (average accuracy was 81%). The analysis also allowed confidence intervals to be calculated for the figures of merit, and the principal components used by the LDA to be interpreted in terms of metabolites, confirming that bands of uric acid, hypoxanthine, ergothioneine, and glutathione were indeed used by the PCA-LDA algorithm to classify the spectra.

Phenotype Classification using Proteome Data in a Data-Independent Acquisition Tensor Format.

A novel approach for phenotype prediction is developed for data-independent acquisition (DIA) mass spectrometric (MS) data without the need for peptide precursor identification using existing DIA software tools. The first step converts the DIA-MS data file into a new file format called DIA tensor (DIAT), which can be used for the convenient visualization of all the ions from peptide precursors and fragments. DIAT files can be fed directly into a deep neural network to predict phenotypes such as appearances of cats, dogs, and microscopic images. As a proof of principle, we applied this approach to 102 hepatocellular carcinoma samples and achieved an accuracy of 96.8% in distinguishing malignant from benign samples. We further applied a refined model to classify thyroid nodules. Deep learning based on 492 training samples achieved an accuracy of 91.7% in an independent cohort of 216 test samples. This approach surpassed the deep-learning model based on peptide and protein matrices generated by OpenSWATH. In summary, we present a new strategy for DIA data analysis based on a novel data format called DIAT, which enables facile two-dimensional visualization of DIA proteomics data. DIAT files can be directly used for deep learning for biological and clinical phenotype classification. Future research will interpret the deep-learning models emerged from DIAT analysis.

Syt-7 overexpression predicts poor prognosis and promotes cell proliferation in hepatocellular carcinoma.

Aim: To explore the prognostic significance of Syt-7 in hepatocellular carcinoma (HCC) and the potential mechanisms. Methods: Immunohistochemistry was used to examine the expression of Syt-7. Overall survival and disease-free survival were compared between Syt-7 positive and negative groups. The effects of Syt-7 knockdown on BEL-7404 cells were further evaluated. Results: Syt-7 expression was significantly higher in HCC tumorous tissues compared with paracancerous tissues. Syt-7 was closely associated with α-fetoprotein tumor size, vascular invasion, tumor node metastasis stage and tumor differentiation. Syt-7 was an independent risk factor for overall survival and disease-free survival. Additionally, Syt-7 knockdown inhibited proliferation and colony formation and induced cell cycle arrest in HCC cells. Conclusion: Syt-7 overexpression forecasts unfavorable prognosis and promotes cell proliferation in HCC.

Hepatocellular carcinomas can be Special AT-rich sequence-binding protein 2 positive: an important diagnostic pitfall.

Special AT-rich sequence-binding protein 2 (SATB2) is a sensitive and specific marker for tumors originating with the colon and appendix. It is now commonly used in surgical pathology, while working up carcinomas of unknown primary. We had anecdotally encountered occasional hepatocellular carcinomas (HCCs) that were SATB2 positive. Immunohistochemical expression of SATB2 in HCC has not yet been examined in detail. In this study, we evaluated SATB2 expression in 46 HCCs. Nineteen (41%) of 46 HCCs were positive for SATB2. SATB2 expression in HCCs was more commonly seen in poorly differentiated tumors (11 of 13 cases, 85%) than well and moderately differentiated tumors (8 of 33 cases, 24%), p value = 0.0001. No other statistically significant correlations were observed (p > 0.05). There were no other statistically significant correlations between SATB2 expression and age, gender, background liver disease, and cirrhosis (p > 0.05). Results of our study show that a significant subset (41%) of HCCs can be SATB2 positive. Awareness of this phenomenon is important as SATB2 expression in a liver tumor does not completely exclude a diagnosis of HCC.

A prognostic model composed of four long noncoding RNAs predicts the overall survival of Asian patients with hepatocellular carcinoma.

Based on accumulating evidence, long noncoding RNAs (lncRNAs) are potential biomarkers and therapeutic targets for many diseases, including tumors. In this study, we consulted The Cancer Genome Atlas (TCGA) database to explore the functions and modulatory mechanisms of lncRNAs as competing endogenous RNAs (ceRNAs) in hepatocellular carcinoma (HCC) in Asian patients and constructed a risk scoring system composed of four lncRNAs (SNHG1, STEAP3-AS1, RUSC1-AS1, and SNHG3) to predict the outcomes of Asian patients with HCC. The prognostic value of this risk model was validated in the internal validation cohort (n = 157). The stratified survival analysis revealed good performance for the risk model in stratifying clinical features. According to the Cox proportional hazard regression analysis, the four-lncRNA risk model is an independent prognostic model for Asian patients with HCC. Finally, we developed a nomogram that integrates prognostic signals and other clinical information to predict 1-, 3-, and 5-year overall survival rates. In conclusion, the prognostic lncRNAs identified in our study exerted potential biological effects on the development of HCC. The risk scoring model based on four lncRNAs may be an effective classification tool for assessing the prognosis of Asian patients with HCC.