Liver transplantation and liver resection as alternative treatments for primary hepatobiliary and secondary liver tumors: Competitors or allies?

Although Starzl designed in the 1960’s liver transplantation(LT)to treat unresectable primary and also secondary liver tumors,transplantation still occupies a(too)small place in the respective therapeutic algorithms[1].Due to the lack of(any)selection criteria,the concept of transplantation became rapidly challenged because of the prohibitively high incidence of tumor recurrence[1–3].

Calculus bovis inhibits M2 tumor-associated macrophage polarization via Wnt/β-catenin pathway modulation to suppress liver cancer

BACKGROUND Calculus bovis(CB),used in traditional Chinese medicine,exhibits anti-tumor effects in various cancer models.It also constitutes an integral component of a compound formulation known as Pien Tze Huang,which is indicated for the treatment of liver cancer.However,its impact on the liver cancer tumor microenvironment,particularly on tumor-associated macrophages(TAMs),is not well understood.AIM To elucidate the anti-liver cancer effect of CB by inhibiting M2-TAM polarization via Wnt/β-catenin pathway modulation.METHODS This study identified the active components of CB using UPLC-Q-TOF-MS,evaluated its anti-neoplastic effects in a nude mouse model,and elucidated the underlying mechanisms via network pharmacology,transcriptomics,and molecular docking.In vitro assays were used to investigate the effects of CB-containing serum on HepG2 cells and M2-TAMs,and Wnt pathway modulation was validated by real-time reverse transcriptase-polymerase chain reaction and Western blot analysis.RESULTS This study identified 22 active components in CB,11 of which were detected in the bloodstream.Preclinical investigations have demonstrated the ability of CB to effectively inhibit liver tumor growth.An integrated approach employing network pharmacology,transcriptomics,and molecular docking implicated the Wnt signaling pathway as a target of the antineoplastic activity of CB by suppressing M2-TAM polarization.In vitro and in vivo experiments further confirmed that CB significantly hinders M2-TAM polarization and suppresses Wnt/β-catenin pathway activation.The inhibitory effect of CB on M2-TAMs was reversed when treated with the Wnt agonist SKL2001,confirming its pathway specificity.CONCLUSION This study demonstrated that CB mediates inhibition of M2-TAM polarization through the Wnt/β-catenin pathway,contributing to the suppression of liver cancer growth.

Misdiagnosis of hemangioma of left triangular ligament of the liver as gastric submucosal stromal tumor:Two case reports

BACKGROUND Extragastric lesions are typically not misdiagnosed as gastric submucosal tumor(SMT).However,we encountered two rare cases where extrinsic lesions were misdiagnosed as gastric SMTs.CASE SUMMARY We describe two cases of gastric SMT-like protrusions initially misdiagnosed as gastric SMTs by the abdominal contrast-enhanced computed tomography(CT)and endoscopic ultrasound(EUS).Based on the CT and EUS findings,the patients underwent gastroscopy;however,no tumor was identified after incising the gastric wall.Subsequent surgical exploration revealed no gastric lesions in both patients,but a mass was found in the left triangular ligament of the liver.The patients underwent laparoscopic tumor resection,and the postoperative diagnosis was hepatic hemangiomas.CONCLUSION During EUS procedures,scanning across different layers and at varying degrees of gastric cavity distension,coupled with meticulous image analysis,has the potential to mitigate the likelihood of such misdiagnoses.

Anti-tumor efficacy of Calculus bovis: Suppressing liver cancer by targeting tumor-associated macrophages

Despite significant advances in our understanding of the molecular pathogenesis of liver cancer and the availability of novel pharmacotherapies,liver cancer remains the fourth leading cause of cancer-related mortality worldwide.Tumor relapse,resistance to current anti-cancer drugs,metastasis,and organ toxicity are the major challenges that prevent considerable improvements in patient survival and quality of life.Calculus bovis(CB),an ancient Chinese medicinal drug,has been used to treat various pathologies,including stroke,convulsion,epilepsy,pain,and cancer.In this editorial,we discuss the research findings recently published by Huang et al on the therapeutic effects of CB in inhibiting the development of liver cancer.Utilizing the comprehensive transcriptomic analyses,in vitro experiments,and in vivo studies,the authors demonstrated that CB treatment inhibits the tumor-promoting M2 phenotype of tumor-associated macrophages via downregulating Wnt pathway.While multiple studies have been performed to explore the molecular mechanisms regulated by CB,this study uniquely shows its role in modulating the M2 phenotype of macrophages present within the tumor microenvironment.This study opens new avenues of future investigations aimed at investigating this drug’s efficacy in various mouse models including the effects of combination therapy,and against drug-resistant tumors.

Glycogen metabolism-mediated intercellular communication in the tumor microenvironment influences liver cancer prognosis

Glycogen metabolism plays a key role in the development of hepatoellular carcinoma(HCC),but the function of glycogen metabolism genes in the tumor microenvironment(TME)is still to be elucidated.Single cell RNA-seq data were obtained from ten HCC tumor samples totaling 64,545 cells and 65 glycogen metabolism genes were analyzed bya nonnegative matrix factorization(NMF).The prognosis and immune response of new glycogen TME cell dusters were predicted by using HCC and immunotherapy cohorts from public databases.HOC single cell analysis was divided into fibroblasts,NT T cells,macrophages,endothelial clls,and B cells,which were separately divided into new cell clusters by glycogen metabolism gene annotation.Pseudo temporal trajectory analysis demonstrated the temporal differentiation trajectory of different glycogen subtype cell dusters.Cellular communication analysis revealed extensive interactions between endothelial cells with glycogen metabolizing TME cell.related subtypes and diferent glycogen subtype cell clusters.SCENIC analysis of transcription factors upstream of TME cell clusters with different glycogen metabolism.In addition,TME cell dusters of glycogen metabolism were found to be enriched in expression in CAF subtypes,CD8 depleted,M1,and M2 types.Bulk seq analysis showed the prognostic signifcance of glycogen metabolism.mediated TME cell dusters in HCC,while a significant immune response was found in the immunotherapy cohort in patients treated with immune checkpoint blockade(ICB),especially for CAFs,T cells,and macrophages In summary,our study reveals for the first time that glycogen metabolism mediates intercellular communication in the hepatocellular carcinoma microenvironment while elucidating the anti-tumor mechanisms and immune prognostic responses of different subtypes of cell dusters.

Rare and lacking typical clinical symptoms of liver tumors:Four case reports

BACKGROUND Rare liver tumors(RLTs)have an extremely low likelihood of forming,and some have been recorded only in isolated cases.The lack of normal clinical symptoms in RLTs makes preoperative diagnosis extremely challenging,which results in frequent misinterpretation.The present case report helps enhance our ability to recognize and treat uncommon liver tumor disorders.CASE SUMMARY We describe four distinct examples of rare liver tumor diseases.These cases were all true cases with no conventional clinical signs or imaging findings.In all patients,hepatic occupancy was discovered on physical examination,which raised the preoperative suspicion of hepatic cancer.All tumors were surgically removed,and postoperative histology and immunohistochemistry were performed to confirm the diagnosis.The first patient had primary hepatic fibrosarcoma.The second case involved a primary hepatic neuroendocrine tumors.These two patients had malignant liver tumors,and both had extremely satisfactory surgical outcomes.The third case involved focal hepatic steatosis,and the fourth case involved a single necrotic nodule in the liver.These two patients had benign liver tumors,but they had already undergone surgery and did not require any postoperative care.CONCLUSION The number of patients with RLTs is small,and the clinical and imaging results are vague.Preoperative diagnosis is challenging,and patients are sometimes mistakenly diagnosed with liver cancer,which leads to unnecessary surgical therapy in certain individuals.

Risk factors for secondary infection after liver failure and effect of comprehensive nursing intervention

BACKGROUND In patients with liver failure(LF),the high rate of secondary infections,which are associated with poor prognosis,highlights the clinical significance of understanding the underlying risk factors and implementing targeted intervention programs.AIM To investigate risk factors for secondary infections in patients with LF and evaluate the effectiveness of comprehensive nursing interventions.METHODS This retrospective study included 64 patients with LF,including 32 with and 32 without secondary infections.A questionnaire was used to collect data on age;laboratory parameters,including total and direct bilirubin,prothrombin time,blood ammonia,and other biochemical parameters;invasive procedures;and complications.Patients with secondary infections received comprehensive nursing intervention in addition to routine nursing care,whereas those without secondary infections received only routine nursing care to compare the effect of nursing intervention on outcomes.RESULTS The infection rate,which was not associated with age or complications,was significantly associated with biochemical parameters and invasive procedures(P<0.05).The infection rate was 61.6%in patients who had undergone invasive procedures and 32.1%in those who had not undergone invasive procedures during the hospital stay.The infection rate was also significantly associated with the type of LF(P<0.05),with the lowest rate observed in patients with acute LF and the highest rate observed in those with subacute LF.The nursing satisfaction rate was 58.3%in the uninfected group and 91.7%in the infected group,indicating significantly higher satisfaction in the infected group(P<0.05).CONCLUSION In patients with LF,the rate of secondary infections was high and associated with biochemical parameters and type of LF.Comprehensive nursing intervention can improve patient satisfaction.

Inhibition of M2 tumor-associated macrophages polarization by modulating the Wnt/β-catenin pathway as a possible liver cancer therapy method

The problem of liver cancer is becoming increasingly important due to the epi-demic of metabolic diseases and persistent high alcohol consumption.This deter-mines great attention to the development and improvement of methods for early diagnosis and treatment of liver cancer.Huang et al presented a study in the World Journal of Gastroenterology,in which they showed that the use of the traditional Chinese medicine Calculus bovis(CB)can suppress tumor growth in mice by inhibiting M2 tumor-associated macrophages(TAM)through modulating the activity of the Wnt/β-catenin pathway.The interaction of CB components with the Wnt/β-catenin pathway,M2 TAM polarization,and tumor dynamics were studied using network pharmacology,transcriptomics,and molecular docking.It is now generally accepted that the polarization of TAM and the differentiation of the functions of M1 and M2 phagocytes are of great importance for the progression of neoplasms.It is assumed that M2 TAM promote proliferation and migration of tumor cells.Attempts to medicinally influence the Wnt/β-catenin pathway in order to modulate phagocyte polarization now belong to one of the most promising areas of immunotherapy of oncological diseases.Undoubtedly,the work of the Chinese authors deserves attention and further development.

Tumor budding as a potential prognostic marker in determining the behavior of primary liver cancers

Hepatocellular(HCC)and intrahepatic cholangiocarcinoma(ICC),the most common primary tumors of the liver,are among the most important causes of cancer deaths worldwide.Because patients with primary liver tumors are frequently diagnosed at an advanced stage and have high mortality,many efforts have been made to identify new markers to determine their behavior and treatment,similar to those in other solid organ tumors.Recently,morphological assessment of tumor budding(TB)has been revealed as a promising prognostic finding to predict tumor behavior and survival across several different tumor types.Currently,the TB score in colorectal cancer has been revealed as an important parameter in pathology report protocols to determine the course of the disease.Regarding the liver,despite enormous data showing that many mechanisms involved in TB are associated with tumor behavior in both HCC and ICC,studies focusing on the role of TB in predicting the behavior and prognosis of these tumors have started to be investigated very recently.The purpose of this review is to present data about TB in primary tumors of the liver,pointing out the potential role of this parameter in determining the course of the disease,and emphasize the need to increase the number of further studies focusing on the evaluation of this parameter with an overview of the mechanisms involved in TB.

Liver Tumor Segmentation Based on Multi-Scale and Self-Attention Mechanism

Liver cancer has the second highest incidence rate among all types of malignant tumors,and currently,its diagnosis heavily depends on doctors’manual labeling of CT scan images,a process that is time-consuming and susceptible to subjective errors.To address the aforementioned issues,we propose an automatic segmentation model for liver and tumors called Res2Swin Unet,which is based on the Unet architecture.The model combines Attention-Res2 and Swin Transformer modules for liver and tumor segmentation,respectively.Attention-Res2 merges multiple feature map parts with an Attention gate via skip connections,while Swin Transformer captures long-range dependencies and models the input globally.And the model uses deep supervision and a hybrid loss function for faster convergence.On the LiTS2017 dataset,it achieves better segmentation performance than other models,with an average Dice coefficient of 97.0%for liver segmentation and 81.2%for tumor segmentation.

Secondary non-resectable liver tumors:A single-center living-donor and deceased-donor liver transplantation case series

Background: During the last decades, deceased-donor liver transplantation (DDLT) has gained a place in the therapeutic algorithm of well-selected patients harbouring non-resectable secondary liver tumors. Living-donor LT (LDLT) might represent a valuable means to further expand this indication for LT. Methods: Between 1985 and 2016, twenty-two adults were transplanted because of neuroendocrine ( n = 18, 82%) and colorectal metastases ( n = 4, 18%);50% received DDLT and 50% LDLT. In LDLT, 4 (36%) right and 7 (64%) left grafts were used;the median graft-to-recipient-weight ratios (GRWR) were 1.03%(IQR 0.86%- 1.30%) and 0.59%(IQR 0.51%- 0.91%), respectively. Median post-LT follow-up was 64 months (IQR 17–107) in the DDLT group and 40 months (IQR 35–116) in the LDLT group. DDLT and LDLT recipients were compared in terms of overall survival, graft survival, postoperative complications and recurrence. Results: The 1- and 5-year actuarial patient survivals were 82% and 55% after DDLT, 100% and 100% after LDLT, respectively ( P < 0.01). One- and 5-year actuarial graft survivals were 73% and 36% after DDLT, 91% and 91% after LDLT ( P < 0.01). The outcomes of right or left LDLT were comparable. Donor hepatectomy proved safe, and one donor experienced a Clavien IIIb complication. Bilirubin peak was significantly lower after left hepatectomy compared with that after right hepatectomy [1.3 (IQR 1.2–2.2) vs. 3.3 (IQR 2.3–5.2) mg/dL;P = 0.02]. Conclusions: The more recent LDLT series compared favorably to our DDLT series in the treatment of secondary liver malignancies. The absence of portal hypertension and the use of smaller left grafts make recipient and donor surgeries safe. The safety of the procedures and lack of interference with the scarce allograft pool are expected to lead to a more frequent use of LDLT in the field of transplant oncology.

Liver transplantation as an alternative for the treatment of neuroendocrine liver metastasis: Appraisal of the current evidence

Background:Liver transplantation(LT)for neuroendocrine liver metastases(NELM)is still in debate.Studies comparing LT with liver resection(LR)for NELM are scarce,as patient selection is heterogeneous and experience is limited.The goal of this review was to provide a critical analysis of the evidence on LT versus LR in the treatment of NELM.Data sources:A scoping literature search on LT and LR for NELM was performed with PubMed,including English articles up to March 2023.Results:International guidelines recommend LR for NELM in resectable,well-differentiated tumors in the absence of extrahepatic metastatic disease with superior results of LR compared to systemic or liver-directed therapies.Advanced liver surgery has extended resectability criteria whilst entailing increased perioperative risk and short disease-free survival.In highly selected patients(based on the Milan criteria)with unresectable NELM,oncologic results of LT are promising.Prognostic factors include tumor biology(G1/G2)and burden,waiting time for LT,patient age and extrahepatic spread.Based on low-level evi-dence,LT for low-grade NELM within the Milan criteria resulted in improved disease-free survival and overall survival compared to LR.The benefits of LT were lost in patients beyond the Milan NELM-criteria.Conclusions:With adherence to strict selection criteria especially tumor biology,LT for NELM is becoming a valuable option providing oncologic benefits compared to LR.Recent evidence suggests even stricter selection criteria with regard to tumor biology.

Baseline radiologic features as predictors of efficacy in patients with pancreatic neuroendocrine tumors with liver metastases receiving surufatinib

Objective:Currently,pre-treatment prediction of patients with pancreatic neuroendocrine tumors with liver metastases(PNELM)receiving surufatinib treatment was unsatisfying.Our objective was to examine the association between radiological characteristics and efficacy/prognosis.Methods:We enrolled patients with liver metastases in the phase III,SANET-p trial(NCT02589821)and obtained contrast-enhanced computed tomography(CECT)images.Qualitative and quantitative parameters including hepatic tumor margins,lesion volumes,enhancement pattern,localization types,and enhancement ratios were evaluated.The progression-free survival(PFS)and hazard ratio(HR)were calculated using Cox’s proportional hazard model.Efficacy was analyzed by logistic-regression models.Results:Among 152 patients who had baseline CECT assessments and were included in this analysis,the surufatinib group showed statistically superior efficacy in terms of median PFS compared to placebo across various qualitative and quantitative parameters.In the multivariable analysis of patients receiving surufatinib(N=100),those with higher arterial phase standardized enhancement ratio-peri-lesion(ASER-peri)exhibited longer PFS[HR=0.039;95%confidence interval(95%CI):0.003−0.483;P=0.012].Furthermore,patients with a high enhancement pattern experienced an improvement in the objective response ratio[31.3%vs.14.7%,odds ratio(OR)=3.488;95%CI:1.024−11.875;P=0.046],and well-defined tumor margins were associated with a higher disease control rate(DCR)(89.3%vs.68.2%,OR=4.535;95%CI:1.285−16.011;P=0.019)compared to poorlydefined margins.Conclusions:These pre-treatment radiological features,namely high ASER-peri,high enhancement pattern,and well-defined tumor margins,have the potential to serve as predictive markers of efficacy in patients with PNELM receiving surufatinib.

Radiofrequency ablation is an inferior option to liver resection for solitary hepatocellular carcinoma≤5 cm without cirrhosis:A population-based study with stratification by tumor size

Background:About 10%-20%of all individuals who develop hepatocellular carcinoma(HCC)do not have cirrhosis.Comparisons are rarely reported regarding the effectiveness of radiofrequency ablation(RFA)and liver resection(LR)in survival of HCC without cirrhosis and stratification by tumor size≤5 cm.Methods:We used the Surveillance,Epidemiology,and End Results(SEER)database and identified 1505 patients with a solitary HCC tumor≤5 cm who underwent RFA or LR during 2004-2015.Patients were classified into non-cirrhosis and cirrhosis groups and each group was categorized into three subgroups,according to tumor size(≤30 mm,31-40 mm,41-50 mm).Results:In patients without cirrhosis,LR showed better 5-year HCC cancer-specific survival than RFA in all tumor size subgroups(≤30 mm:82.51%vs.56.42%;31-40 mm:71.31%vs.46.83%;41-50 mm:74.7%vs.37.5%;all P<0.05).Compared with RFA,LR was an independent protective factor for HCC cancer-specific survival in multivariate Cox analysis[≤30 mm:hazard ratio(HR)=0.533,95%confidence interval(CI):0.313-0.908;31-40 mm:HR=0.439,95%CI:0.201-0.957;41-50 mm:HR=0.382;95%CI:0.159-0.916;all P<0.05].In patients with cirrhosis,for both tumor size≤30 mm and 31-40 mm groups,there were no significant survival differences between RFA and LR in multivariate analysis(all P>0.05).However,in those with tumor size 41-50 mm,LR showed significantly better 5-year HCC cancer-specific survival than RFA in both univariate(54.72%vs.23.06%;P<0.001)and multivariate analyses(HR=0.297;95%CI:0.136-0.648;P=0.002).Conclusions:RFA is an inferior treatment option to LR for patients without cirrhosis who have a solitary HCC tumor≤5 cm.

Unraveling the enigma:A comprehensive review of solid pseudopapillary tumor of the pancreas

Solid pseudopapillary tumor of the pancreas(SPTP)is a rare neoplasm predom-inantly observed in young females.Pathologically,CTNNB1 mutations,β-catenin nuclear accumulation,and subsequent Wnt-signaling pathway activation are the leading molecular features.Accurate preoperative diagnosis often relies on imaging techniques and endoscopic biopsies.Surgical resection remains the mainstay treatment.Risk models,such as the Fudan Prognostic Index,show promise as predictive tools for assessing the prognosis of SPTP.Establishing three types of metachronous liver metastasis can be beneficial in tailoring individu-alized treatment and follow-up strategies.Despite advancements,challenges persist in understanding its etiology,establishing standardized treatments for unresectable or metastatic diseases,and developing a widely recognized grading system.This comprehensive review aims to elucidate the enigma by consolidating current knowledge on the epidemiology,clinical presentation,pathology,molecular characteristics,diagnostic methods,treatment options,and prognostic factors.

Liver Tumors Segmentation Using 3D SegNet Deep Learning Approach

An ultrasonic filter detects signs of malignant tumors by analysing the image’s pixel quality fluctuations caused by a liver ailment.Signs of malignant growth proximity are identified in an ultrasound filter through image pixel quality variations from a liver’s condition.Those changes are more common in alcoholic liver conditions than in other etiologies of cirrhosis,suggesting that the cause may be alcohol instead of liver disease.Existing Two-Dimensional(2D)ultrasound data sets contain an accuracy rate of 85.9%and a 2D Computed Tomography(CT)data set of 91.02%.The most recent work on designing a Three-Dimensional(3D)ultrasound imaging system in or close to real-time is examined.In this article,a Deep Learning(DL)model is implemented and modified to fit liver CT segmentation,and a semantic pixel classification of road scenes is recommended.The architecture is called semantic pixel-wise segmentation and comprises a hierarchical link of encoder-decoder layers.A standard data set was used to test the proposed model for liver CT scans and the tumor accuracy in the training phase.For the normal class,we obtained 100%precision for chronic cirrhosis hepatitis(73%),offset cirrhosis(59.26%),and offensive cirrhosis(91.67%)for chronic hepatitis or cirrhosis(73,0%).The aim is to develop a Computer-Aided Detection(CAD)screening tool to detect steatosis.The results proved 98.33%exactness,94.59%sensitivity,and 92.11%case with Convolutional Neural Networks(CNN)classification.Although the classifier’s performance did not differentiate so clearly at this level,it was recommended that CNN generally perform better due to the good relationship between Area under the Receiver Operating Characteristics Curve(AUC)and accuracy.

Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm

In recent days,Deep Learning(DL)techniques have become an emerging transformation in the field of machine learning,artificial intelligence,computer vision,and so on.Subsequently,researchers and industries have been highly endorsed in the medical field,predicting and controlling diverse diseases at specific intervals.Liver tumor prediction is a vital chore in analyzing and treating liver diseases.This paper proposes a novel approach for predicting liver tumors using Convolutional Neural Networks(CNN)and a depth-based variant search algorithm with advanced attention mechanisms(CNN-DS-AM).The proposed work aims to improve accuracy and robustness in diagnosing and treating liver diseases.The anticipated model is assessed on a Computed Tomography(CT)scan dataset containing both benign and malignant liver tumors.The proposed approach achieved high accuracy in predicting liver tumors,outperforming other state-of-the-art methods.Additionally,advanced attention mechanisms were incorporated into the CNN model to enable the identification and highlighting of regions of the CT scans most relevant to predicting liver tumors.The results suggest that incorporating attention mechanisms and a depth-based variant search algorithm into the CNN model is a promising approach for improving the accuracy and robustness of liver tumor prediction.It can assist radiologists in their diagnosis and treatment planning.The proposed system achieved a high accuracy of 95.5%in predicting liver tumors,outperforming other state-of-the-art methods.

Uncharted Territory: Frequent Relapsing, Steroid Sensitive Secondary Minimal Change Nephrotic Syndrome Cause by Solid Tumor of the Gastro-Esophageal Junction —(Case Presentation and Review of the Literature)

We reported a biopsy proved case of minimal change nephrotic syndrome in a 72-year-old patient. The minimal change nephrotic syndrome has been steroid sensitive, but the patient had 7 relapses over a span of 5 years. Each time the dose of steroid is tapered, a relapse of the nephrotic syndrome occurred. Eventually, the patient was complaining of dysphagia and difficulty swallowing. Hospital work-up with barium swallow, endoscopy, and CT of the chest, abdomen and pelvis, revealed a focal stenotic lesion with mild to moderate esophageal dysmotility 7/15/2022. A diagnosis of an ulcerating lesion with biopsy confirmed a neuro-endocrine carcinoma of the gastro-esophageal junction was entertained. The CT of the chest/abdomen/pelvis, 7/19/2022, has shown, an esophageal mass of 5.1 × 5.6 × 7 cm of the gastro-esophageal junction with ulceration. No evidence of spread beyond the esophagus and stomach. The histology revealed a poorly differentiated neuroendocrine tumor of the gastro-esophageal junction. The patient underwent several rounds of chemotherapy, radiation, and surgery culminating in tumor control. His nephrotic syndrome was resolved after the tumor has been controlled by surgery and chemotherapy.

Ex vivo liver resection and auto-transplantation and special systemic therapy in perihilar cholangiocarcinoma treatment

This editorial contains comments on the article“Systematic sequential therapy for ex vivo liver resection and autotransplantation:A case report and review of li-terature”in the recent issue of World Journal of Gastrointestinal Surgery.It points out the actuality and importance of the article and focuses primarily on the role and place of ex vivo liver resection and autotransplantation(ELRAT)and systemic therapy,underlying molecular mechanisms for targeted therapy in perihilar cho-langiocarcinoma(pCCA)management.pCCA is a tough malignancy with a high proportion of advanced disease at the time of diagnosis.The only curative option is radical surgery.Surgical excision and reconstruction become extremely com-plicated and not always could be performed even in localized disease.On the other hand,ELRAT takes its place among surgical options for carefully selected pCCA patients.In advanced disease,systemic therapy becomes a viable option to prolong survival.This editorial describes current possibilities in chemotherapy and reveals underlying mechanisms and projections in targeted therapy with ki-nase inhibitors and immunotherapy in both palliative and adjuvant settings.Fi-broblast grow factor and fibroblast grow factor receptor,human epidermal grow-th factor receptor 2,isocitrate dehydrogenase,and protein kinase cAMP activated catalytic subunit alpha(PRKACA)and beta(PRKACB)pathways have been ac-tively investigated in CCA in last years.Several agents were introduced and approved by the Food and Drug Administration.They all demonstrated mean-ingful activity in CCA patients with no global change in outcomes.That is why every successfully treated patient counts,especially those with advanced disease.In conclusion,pCCA is still hard to treat due to late diagnosis and extremely complicated surgical options.ELRAT also brings some hope,but it could be performed in very carefully selected patients.Advanced disease requires systemic anticancer treatment,which is supposed to be individualized according to the genetic and molecular features of cancer cells.Targeted therapy in combination with chemo-immunotherapy could be effective in susceptible patients.

Liver Tumor Decision Support System on Human Magnetic Resonance Images:A Comparative Study

Liver cancer is the second leading cause of cancer death worldwide.Early tumor detection may help identify suitable treatment and increase the survival rate.Medical imaging is a non-invasive tool that can help uncover abnormalities in human organs.Magnetic Resonance Imaging(MRI),in particular,uses magnetic fields and radio waves to differentiate internal human organs tissue.However,the interpretation of medical images requires the subjective expertise of a radiologist and oncologist.Thus,building an automated diagnosis computer-based system can help specialists reduce incorrect diagnoses.This paper proposes a hybrid automated system to compare the performance of 3D features and 2D features in classifying magnetic resonance liver tumor images.This paper proposed two models;the first one employed the 3D features while the second exploited the 2D features.The first system uses 3D texture attributes,3D shape features,and 3D graphical deep descriptors beside an ensemble classifier to differentiate between four 3D tumor categories.On top of that,the proposed method is applied to 2D slices for comparison purposes.The proposed approach attained 100%accuracy in discriminating between all types of tumors,100%Area Under the Curve(AUC),100%sensitivity,and 100%specificity and precision as well in 3D liver tumors.On the other hand,the performance is lower in 2D classification.The maximum accuracy reached 96.4%for two classes and 92.1%for four classes.The top-class performance of the proposed system can be attributed to the exploitation of various types of feature selection methods besides utilizing the ReliefF features selection technique to choose the most relevant features associated with different classes.The novelty of this work appeared in building a highly accurate system under specific circumstances without any processing for the images and human input,besides comparing the performance between 2D and 3D classification.In the future,the presented work can be extended to be used in the huge dataset.Then,it can be a reliable,efficient Computer Aided Diagnosis(CAD)system employed in hospitals in rural areas.