Lipid metabolism in tumor-infiltrating regulatory T cells: perspective to precision immunotherapy.

Regulatory T cells (Tregs) are essential to the negative regulation of the immune system, as they avoid excessive inflammation and mediate tumor development. The abundance of Tregs in tumor tissues suggests that Tregs may be eliminated or functionally inhibited to stimulate antitumor immunity. However, immunotherapy targeting Tregs has been severely hampered by autoimmune diseases due to the systemic elimination of Tregs. Recently, emerging studies have shown that metabolic regulation can specifically target tumor-infiltrating immune cells, and lipid accumulation in TME is associated with immunosuppression. Nevertheless, how Tregs actively regulate metabolic reprogramming to outcompete effector T cells (Teffs), and how lipid metabolic reprogramming contributes to the immunomodulatory capacity of Tregs have not been fully discussed. This review will discuss the physiological processes by which lipid accumulation confers a metabolic advantage to tumor-infiltrating Tregs (TI-Tregs) and amplifies their immunosuppressive functions. Furthermore, we will provide a summary of the driving effects of various metabolic regulators on the metabolic reprogramming of Tregs. Finally, we propose that targeting the lipid metabolism of TI-Tregs could be efficacious either alone or in conjunction with immune checkpoint therapy.

Adavosertib-encapsulated metal-organic frameworks for p53-mutated gallbladder cancer treatment via synthetic lethality.

Adavosertib (ADA) is a WEE1 inhibitor that exhibits a synthetic lethal effect on p53-mutated gallbladder cancer (GBC). However, drug resistance due to DNA damage response compensation pathways and high toxicity limits further applications. Herein, estrone-targeted ADA-encapsulated metal-organic frameworks (ADA@MOF-EPL) for GBC synthetic lethal treatment by inducing conditional factors are developed. The high expression of estrogen receptors in GBC enables ADA@MOF-EPL to quickly enter and accumulate near the cell nucleus through estrone-mediated endocytosis and release ADA to inhibit WEE1 upon entering the acidic tumor microenvironment. Ultrasound irradiation induces ADA@MOF-EPL to generate reactive oxygen species (ROS), which leads to a further increase in DNA damage, resulting in a higher sensitivity of p53-mutated cancer cells to WEE1 inhibitor and promoting cell death via conditional synthetic lethality. The conditional factor induced by ADA@MOF-EPL further enhances the antitumor efficacy while significantly reducing systemic toxicity. Moreover, ADA@MOF-EPL demonstrates similar antitumor abilities in other p53-mutated solid tumors, revealing its potential as a broad-spectrum antitumor drug.

Pre-activated nanoparticles with persistent luminescence for deep tumor photodynamic therapy in gallbladder cancer.

Phototherapy of deep tumors still suffers from many obstacles, such as limited near-infrared (NIR) tissue penetration depth and low accumulation efficiency within the target sites. Herein, stimuli-sensitive tumor-targeted photodynamic nanoparticles (STPNs) with persistent luminescence for the treatment of deep tumors are reported. Purpurin 18 (Pu18), a porphyrin derivative, is utilized as a photosensitizer to produce persistent luminescence in STPNs, while lanthanide-doped upconversion nanoparticles (UCNPs) exhibit bioimaging properties and possess high photostability that can enhance photosensitizer efficacy. STPNs are initially stimulated by NIR irradiation before intravenous administration and accumulate at the tumor site to enter the cells through the HER2 receptor. Due to Pu18 afterglow luminescence properties, STPNs can continuously generate ROS to inhibit NFκB nuclear translocation, leading to tumor cell apoptosis. Moreover, STPNs can be used for diagnostic purposes through MRI and intraoperative NIR navigation. STPNs exceptional antitumor properties combined the advantages of UCNPs and persistent luminescence, representing a promising phototherapeutic strategy for deep tumors.

Adhesive cryogel particles for bridging confined and irregular tissue defects.

BACKGROUND: Reconstruction of damaged tissues requires both surface hemostasis and tissue bridging. Tissues with damage resulting from physical trauma or surgical treatments may have arbitrary surface topographies, making tissue bridging challenging. METHODS: This study proposes a tissue adhesive in the form of adhesive cryogel particles (ACPs) made from chitosan, acrylic acid, 1-Ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC) and N-hydroxysuccinimide (NHS). The adhesion performance was examined by the 180-degree peel test to a collection of tissues including porcine heart, intestine, liver, muscle, and stomach. Cytotoxicity of ACPs was evaluated by cell proliferation of human normal liver cells (LO2) and human intestinal epithelial cells (Caco-2). The degree of inflammation and biodegradability were examined in dorsal subcutaneous rat models. The ability of ACPs to bridge irregular tissue defects was assessed using porcine heart, liver, and kidney as the ex vivo models. Furthermore, a model of repairing liver rupture in rats and an intestinal anastomosis in rabbits were established to verify the effectiveness, biocompatibility, and applicability in clinical surgery. RESULTS: ACPs are applicable to confined and irregular tissue defects, such as deep herringbone grooves in the parenchyma organs and annular sections in the cavernous organs. ACPs formed tough adhesion between tissues [(670.9 ± 50.1) J/m2 for the heart, (607.6 ± 30.0) J/m2 for the intestine, (473.7 ± 37.0) J/m2 for the liver, (186.1 ± 13.3) J/m2 for muscle, and (579.3 ± 32.3) J/m2 for the stomach]. ACPs showed considerable cytocompatibility in vitro study, with a high level of cell viability for 3 d [(98.8 ± 1.2) % for LO2 and (98.3 ± 1.6) % for Caco-2]. It has comparable inflammation repair in a ruptured rat liver (P = 0.58 compared with suture closure), the same with intestinal anastomosis in rabbits (P = 0.40 compared with suture anastomosis). Additionally, ACPs-based intestinal anastomosis (less than 30 s) was remarkably faster than the conventional suturing process (more than 10 min). When ACPs degrade after surgery, the tissues heal across the adhesion interface. CONCLUSIONS: ACPs are promising as the adhesive for clinical operations and battlefield rescue, with the capability to bridge irregular tissue defects rapidly.

Inhibition of AMPK/PFKFB3 mediated glycolysis synergizes with penfluridol to suppress gallbladder cancer growth.

BACKGROUND: Penfluridol (PF) is an FDA-approved antipsychotic drug that has recently been shown to have anticancer activity. However, the anticancer effects and underlying mechanisms of PF are not well-established in gallbladder cancer (GBC). METHODS: The anticancer efficacy of PF on GBC was investigated via a series of cell functions experiments, including cell viability, colony formation, apoptosis assays, and so on. The corresponding signaling changes after PF treatment were explored by western blotting. Then, nude mice were utilized to study and test the anticancer activity of PF in vivo. Besides, glucose consumption and lactic production assays were used to detect the glycolysis alteration. RESULTS: In this study, we discovered that PF greatly inhibited the proliferation and invasion ability of GBC cells (GBCs). The glucose consumption and lactic generation ability of GBCs were dramatically elevated following PF treatment. Additionally, we discovered that inhibiting glycolysis could improve PF's anticancer efficacy. Further studies established that the activation of the AMPK/PFKFB3 signaling pathway medicated glycolysis after PF treatment. We proved mechanistically that inhibition of AMPK/PFKFB3 singling pathway mediated glycolysis was a potential synergetic strategy to improve the anticancer efficacy of PF on GBC. CONCLUSIONS: By inhibiting AMPK, the anticancer effects of PF on GBCs were amplified. As a result, our investigations shed new light on the possibility of repurposing PF as an anticancer drug for GBC, and AMPK inhibition in combination with PF may represent a novel therapeutic strategy for GBC. Video abstract.

Enhanced Recovery Care vs. Traditional Care in Laparoscopic Hepatectomy: A Systematic Review and Meta-Analysis.

Background: Enhanced recovery care could alleviate surgical stress and accelerate the recovery rates of patients. Previous studies showed the benefits of enhanced recovery after surgery program in liver surgery, but the exact role in laparoscopic hepatectomy is still unclear. Aim: We aimed to perform a meta-analysis to evaluate the safety and efficacy of enhanced recovery after a surgery program in laparoscopic hepatectomy. Methods: The relative studies from a specific search of PUBMED, EMBASE, OVID, and Cochrane database from June 2008 to February 2022 were selected and included in this meta-analysis. The primary outcomes included length of hospital stay, duration to functional recovery, and overall postoperative complication rate. The secondary outcomes included operative time, intraoperative blood loss, cost of hospitalization, readmission rate, Grade I complication rate, and Grade II-V complication rate. Results: A total of six studies with 643 patients [enhanced recovery care (n = 274) vs. traditional care (n = 369)] were eligible for analysis. These comprised three randomized controlled trials and three retrospective studies. Enhanced recovery care group was associated with decreased hospital stay [standard mean difference (SMD) = -0.56, 95% confidence interval (CI) = -0.83~-0.28, p < 0.0001], shorter duration to functional recovery (SMD = -1.14, 95% CI = -1.92~-0.37, p = 0.004), and lower cost of hospitalization Mean Difference (MD) = -1,539.62, 95% CI = -1992.85~-1086.39, p < 0.00001). Moreover, a lower overall postoperative complication rate was observed in enhanced recovery care group [Risk ratio (RR) = 0.64, 95% CI = 0.51~0.80, p < 0.0001] as well as lower Grade II-V complication rate (RR = 0.55, 95% CI = 0.38~0.80, p = 0.002), while there was no significant difference in intraoperative blood loss (MD = -65.75, 95% CI = -158.47~26.97, p = 0.16), operative time (MD = -5.44, 95% CI = -43.46~32.58, p = 0.78), intraoperative blood transfusion rate [Odds ratio (OR) = 0.71, 95% CI = 0.41~1.22, p = 0.22], and Grade I complication rate (RR = 0.73, 95% CI = 0.53~1.03, p = 0.07). Conclusion: Enhanced recovery care in laparoscopic hepatectomy should be recommended, because it is not only safe and effective, but also can accelerate the postoperative recovery and lighten the financial burden of patients.

Bortezomib-Encapsulated Dual Responsive Copolymeric Nanoparticles for Gallbladder Cancer Targeted Therapy.

Gallbladder cancer (GBC) is a rare but the most malignant type of biliary tract tumor. It is usually diagnosed at an advanced stage and conventional treatments are unsatisfactory. As a proteasome inhibitor, bortezomib (BTZ) exhibits excellent antitumor ability in GBC. However, the long-term treatment efficacy is limited by its resistance, poor stability, and high toxicity. Herein, BTZ-encapsulated pH-responsive copolymeric nanoparticles with estrone (ES-NP(BTZ; Ce6) ) for GBC-specific targeted therapy is reported. Due to the high estrogen receptor expression in GBC, ES-NP(BTZ; Ce6) can rapidly enter the cells and accumulate near the nucleus via ES-mediated endocytosis. Under acidic tumor microenvironment (TME) and 808 nm laser irradiation, BTZ is released and ROS is generated by Ce6 to destroy the "bounce-back" response pathway proteins, such as DDI2 and p97, which can effectively inhibit proteasomes and increase apoptosis. Compared to the traditional treatment using BTZ monotherapy, ES-NP(BTZ; Ce6) can significantly impede disease progression at lower BTZ concentrations and improve its resistance. Moreover, ES-NP(BTZ; Ce6) demonstrates similar antitumor abilities in patient-derived xenograft animal models and five other types of solid tumor cells, revealing its potential as a broad-spectrum antitumor formulation.

Biologic therapy for Crohn's disease over the last 3 decades.

BACKGROUND: Despite the overload of publications on Crohn's disease (CD), no comprehensive analysis of biologic therapy for CD has been reported. AIM: To determine knowledge gaps and identify areas of interest of biologic therapy for CD. METHODS: The top 100 highest-cited original articles were identified from January 1991 to December 2020 in the Clarivate Analytics Web of Science Core Collection database. We conducted a bibliometric analysis of biologic therapy for CD based on total citations, summarized the bibliographic information of the articles related to CD biologic therapy, and explored the research hotspots. RESULTS: The top 100 highest-cited original articles were identified with total citations ranging from 307 to 2978. The 2000s (Period II, n = 66) yielded the most influential original articles and saw the most dramatic growth. Among the top 10 countries, including 8 European countries and 2 North American countries, the United States (n = 37) and Belgium (n = 20) contributed the most publications. Among the top 10 institutions, the University Hospital Gasthuisberg in Belgium (n = 23), the University of Chicago in the United States (n = 20), and the Mayo Clinic in the United States (n = 17) published the most papers. Regarding authors, Rutgeerts P in Belgium (n = 32), Sandborn WJ in the United States (n = 23), and Feagan BG in Canada (n = 18) published the highest number of studies. The cooperation relationships between the United States and Europe were most frequent. Gastroenterology (impact factor = 22.682) published the most articles on biologic therapy for CD (n = 32) with 17654 total citations. Anti-tumor necrosis factor biologics and monoclonal antibodies were the most studied topics. CONCLUSION: The bibliometric analysis emphasized the key contributions to the development of the specialized field. These data would provide useful research insights into biologic therapy for CD for clinicians and researchers.

Comparison of Outcomes After Primary Laparoscopic Versus Open Approach for T1b/T2 Gallbladder Cancer.

OBJECTIVES: The primary laparoscopic approach (PLA) for T1b/T2 gallbladder cancer (GBC) remains contradicted. We aimed to compare the perioperative and long-term outcomes after PLA versus open approach (OA) for T1b/T2 GBC. METHODS: Patients with resected T1b/T2 GBC were selected from our hospital between January 2011 and August 2018. Overall survival (OS), disease-free survival (DFS), and several secondary outcomes were used to evaluate safety and effectiveness. Subgroup analyses were performed to identify significant risk factors for OS/DFS in GBC patients undergoing PLA/OA. RESULTS: A total of 114 patients who underwent OA (n = 61) or PLA (n = 53) were included in the study. The percent of PLA cases was increased over time from 40.0% in 2011 to 70.0% in 2018 (p < 0.05). There was no significant difference in OS [hazard ratio (HR), 1.572; 95% confidence interval (CI), 0.866-2.855; p = 0.13] and DFS (HR, 1.225; 95% CI, 0.677-2.218; p = 0.49). No significance was found for intraoperative drainage placement (p = 0.253), intraoperative blood loss (p = 0.497), operation time (p = 0.105), postoperative hospitalization (p = 0.797), positive LNs (p = 0.494), total harvested LNs (p = 0.067), and recurrence rates (P = 0.334). Subgroup analyses demonstrated no significance of conversion rates after PLA (all p > 0.05). Patients undergoing PLA with good/poor OS would have similar recurrence rates (p = 0.402). Positive LNs (p = 0.032) and tumor differentiation (p = 0.048) were identified as risk factors for OS after PLA, while positive LNs (p = 0.005) was identified for OS after OA. Moreover, age (p = 0.013), gallbladder stone (p = 0.008), tumor size (p = 0.028), and positive LNs (p = 0.044) were potential risk factors for DFS after OA. CONCLUSIONS: PLA for T1b/T2 GBC was comparable to OA in terms of perioperative and long-term outcomes. Less positive LNs and well-differentiated tumors were independent predictors for better OS after PLA, and less positive LNs were also identified for better OS after OA. Additionally, younger age, without gallbladder stone, smaller tumor size, and less positive LNs were potential risk factors for better DFS after OA.

Targeting mutant p53 for cancer therapy: direct and indirect strategies.

TP53 is a critical tumor-suppressor gene that is mutated in more than half of all human cancers. Mutations in TP53 not only impair its antitumor activity, but also confer mutant p53 protein oncogenic properties. The p53-targeted therapy approach began with the identification of compounds capable of restoring/reactivating wild-type p53 functions or eliminating mutant p53. Treatments that directly target mutant p53 are extremely structure and drug-species-dependent. Due to the mutation of wild-type p53, multiple survival pathways that are normally maintained by wild-type p53 are disrupted, necessitating the activation of compensatory genes or pathways to promote cancer cell survival. Additionally, because the oncogenic functions of mutant p53 contribute to cancer proliferation and metastasis, targeting the signaling pathways altered by p53 mutation appears to be an attractive strategy. Synthetic lethality implies that while disruption of either gene alone is permissible among two genes with synthetic lethal interactions, complete disruption of both genes results in cell death. Thus, rather than directly targeting p53, exploiting mutant p53 synthetic lethal genes may provide additional therapeutic benefits. Additionally, research progress on the functions of noncoding RNAs has made it clear that disrupting noncoding RNA networks has a favorable antitumor effect, supporting the hypothesis that targeting noncoding RNAs may have potential synthetic lethal effects in cancers with p53 mutations. The purpose of this review is to discuss treatments for cancers with mutant p53 that focus on directly targeting mutant p53, restoring wild-type functions, and exploiting synthetic lethal interactions with mutant p53. Additionally, the possibility of noncoding RNAs acting as synthetic lethal targets for mutant p53 will be discussed.

Artificial intelligence in gastroenterology and hepatology: Status and challenges.

Originally proposed by John McCarthy in 1955, artificial intelligence (AI) has achieved a breakthrough and revolutionized the processing methods of clinical medicine with the increasing workloads of medical records and digital images. Doctors are paying attention to AI technologies for various diseases in the fields of gastroenterology and hepatology. This review will illustrate AI technology procedures for medical image analysis, including data processing, model establishment, and model validation. Furthermore, we will summarize AI applications in endoscopy, radiology, and pathology, such as detecting and evaluating lesions, facilitating treatment, and predicting treatment response and prognosis with excellent model performance. The current challenges for AI in clinical application include potential inherent bias in retrospective studies that requires larger samples for validation, ethics and legal concerns, and the incomprehensibility of the output results. Therefore, doctors and researchers should cooperate to address the current challenges and carry out further investigations to develop more accurate AI tools for improved clinical applications.

Clinical-Radiomic Analysis for Pretreatment Prediction of Objective Response to First Transarterial Chemoembolization in Hepatocellular Carcinoma.

BACKGROUND: The preoperative selection of patients with intermediate-stage hepatocellular carcinoma (HCC) who are likely to have an objective response to first transarterial chemoembolization (TACE) remains challenging. OBJECTIVE: To develop and validate a clinical-radiomic model (CR model) for preoperatively predicting treatment response to first TACE in patients with intermediate-stage HCC. METHODS: A total of 595 patients with intermediate-stage HCC were included in this retrospective study. A tumoral and peritumoral (10 mm) radiomic signature (TPR-signature) was constructed based on 3,404 radiomic features from 4 regions of interest. A predictive CR model based on TPR-signature and clinical factors was developed using multivariate logistic regression. Calibration curves and area under the receiver operating characteristic curves (AUCs) were used to evaluate the model's performance. RESULTS: The final CR model consisted of 5 independent predictors, including TPR-signature (p < 0.001), AFP (p = 0.004), Barcelona Clinic Liver Cancer System Stage B (BCLC B) subclassification (p = 0.01), tumor location (p = 0.039), and arterial hyperenhancement (p = 0.050). The internal and external validation results demonstrated the high-performance level of this model, with internal and external AUCs of 0.94 and 0.90, respectively. In addition, the predicted objective response via the CR model was associated with improved survival in the external validation cohort (hazard ratio: 2.43; 95% confidence interval: 1.60-3.69; p < 0.001). The predicted treatment response also allowed for significant discrimination between the Kaplan-Meier curves of each BCLC B subclassification. CONCLUSIONS: The CR model had an excellent performance in predicting the first TACE response in patients with intermediate-stage HCC and could provide a robust predictive tool to assist with the selection of patients for TACE.

Hepatectomy strategy for T2 gallbladder cancer between segment IVb and V resection and wedge resection: A propensity score-matched study.

BACKGROUND: Liver resection is recommended for T2 gallbladder cancer, but the optimal hepatectomy strategy remains controversial. We aimed to assess the safety and effectiveness of segment IVb and V resection versus wedge resection in patients with T2 gallbladder cancer. METHODS: This is a retrospective multicenter propensity score-matched study in China. Overall survival, disease-free survival, perioperative complications, and hospital length of stay were used to evaluate safety and effectiveness. RESULTS: There are a total of 512 patients. 112 of 117 patients undergoing segment IVb and V resection were matched to 112 patients undergoing wedge resection. After matching, segment IVb and V resection demonstrated no statistical difference in overall survival (hazard ratio, 0.970 [0.639-1.474]; P = .886), but significance in disease-free survival (hazard ratio, 0.708 [0.506-0.991]; P = .040). Patients with incidental gallbladder cancer (hazard ratio, 0.390 [0.180-0.846]; P = .019), stage T2b (hazard ratio, 0.515 [0.302-0.878]; P = .016), and negative lymph nodes status (hazard ratio, 0.627 [0.406-0.991]; P = .043) were associated with improved disease-free survival after segment IVb and V resection, but not in wedge resection. However, perioperative complications occurred more frequently after segment IVb and V resection (28.5% vs 9.1%, P < .001) along with the longer hospital length of stay (17.3 vs 10.2 days, P < .001). Notably, patients with jaundice (odds ratio, 4.053 [1.361-12.23]; P = .013), undergoing laparoscopic resection (odds ratio, 2.387 [1.059-4.484]; P = .028) or surgeon performing per the first 10 segment IVb and V resections (odds ratio, 2.697 [1.035-6.998]; P = .041), were the independent risk factors for perioperative complications in the segment IVb and V resection group. CONCLUSION: T2 gallbladder cancer patients undergoing segment IVb and V resection rather than wedge resection have an improved disease-free survival, especially for incidental gallbladder cancer or hepatic-sided (T2b) gallbladder cancer. However, high rates of perioperative complications and longer hospital length of stay after segment IVb and V resection indicated that surgeons must rely on their own surgical skills and the patient profile to decide the optimal hepatectomy strategy.

Adjuvant transarterial chemoembolization to sorafenib in unresectable hepatocellular carcinoma: A meta-analysis.

BACKGROUND AND AIM: An increasing number of transarterial chemoembolization (TACE) plus sorafenib combination therapy has been applied for unresectable hepatocellular carcinoma (HCC). However, it remains controversial whether combination therapy is superior to sorafenib monotherapy. Therefore, we aimed to perform a meta-analysis to evaluate the efficacy and safety of the combination therapy of TACE plus sorafenib for unresectable HCC. METHODS: This meta-analysis was based on the relative outcomes from a specific search of online databases between January 2008 and November 2019, and subgroup analyses were conducted to identify potential predictive factors. RESULTS: A total of 3868 patients (TACE plus sorafenib vs sorafenib, 1181 vs 2687) were identified from nine studies, including one randomized controlled trial and eight retrospective cohort studies. The pooled results revealed that TACE plus sorafenib combination therapy significantly improves overall survival with the combined hazard ratio 0.74 (95% confidence interval [CI] = 0.66-0.84, P < 0.001), time to progression (hazard ratio = 0.73, 95%CI = 0.65-0.82, P < 0.001), and objective response rate (odds ratio = 2.19, 95% CI = 1.31-3.66, P = 0.003). Subgroup analysis indicated that patients who developed macrovascular invasion achieve significantly great overall survival (P for interaction = 0.001) with combination therapy, in contrast to nonmacrovascular invasion patients. In addition, no significant differences in adverse events were observed. CONCLUSION: This meta-analysis demonstrated that TACE plus sorafenib combination therapy is superior to sorafenib monotherapy and should be recommended as an optimal treatment choice for unresectable HCC.

Development of synthetic lethality in cancer: molecular and cellular classification.

Recently, genetically targeted cancer therapies have been a topic of great interest. Synthetic lethality provides a new approach for the treatment of mutated genes that were previously considered unable to be targeted in traditional genotype-targeted treatments. The increasing researches and applications in the clinical setting made synthetic lethality a promising anticancer treatment option. However, the current understandings on different conditions of synthetic lethality have not been systematically assessed and the application of synthetic lethality in clinical practice still faces many challenges. Here, we propose a novel and systematic classification of synthetic lethality divided into gene level, pathway level, organelle level, and conditional synthetic lethality, according to the degree of specificity into its biological mechanism. Multiple preclinical findings of synthetic lethality in recent years will be reviewed and classified under these different categories. Moreover, synthetic lethality targeted drugs in clinical practice will be briefly discussed. Finally, we will explore the essential implications of this classification as well as its prospects in eliminating existing challenges and the future directions of synthetic lethality.

Advances in synthetic lethality for cancer therapy: cellular mechanism and clinical translation.

Synthetic lethality is a lethal phenomenon in which the occurrence of a single genetic event is tolerable for cell survival, whereas the co-occurrence of multiple genetic events results in cell death. The main obstacle for synthetic lethality lies in the tumor biology heterogeneity and complexity, the inadequate understanding of synthetic lethal interactions, drug resistance, and the challenges regarding screening and clinical translation. Recently, DNA damage response inhibitors are being tested in various trials with promising results. This review will describe the current challenges, development, and opportunities for synthetic lethality in cancer therapy. The characterization of potential synthetic lethal interactions and novel technologies to develop a more effective targeted drug for cancer patients will be explored. Furthermore, this review will discuss the clinical development and drug resistance mechanisms of synthetic lethality in cancer therapy. The ultimate goal of this review is to guide clinicians at selecting patients that will receive the maximum benefits of DNA damage response inhibitors for cancer therapy.

Laparoscopic procedure is associated with lower morbidity for simultaneous resection of colorectal cancer and liver metastases: an updated meta-analysis.

BACKGROUND: It has been demonstrated that simultaneous resection of both primary colorectal lesion and metastatic hepatic lesion is a safe approach with low mortality and postoperative complication rates. However, there are some controversies over which kind of surgical approach is better. The aim of study was to compare the efficacy and safety of laparoscopic surgeries and open surgeries for simultaneous resection of colorectal cancer (CRC) and synchronous colorectal liver metastasis (SCRLM). METHODS: A systemic search of online database including PubMed, Web of Science, Cochrane Library, and Embase was performed until June 5, 2019. Intraoperative complications, postoperative complications, and long-term outcomes were synthesized by using STATA, version 15.0. Cumulative and single-arm meta-analyses were also conducted. RESULTS: It contained twelve studies with 616 patients (273 vs 343, laparoscopic surgery group and open surgery group, respectively) and manifested latest surgical results for the treatment of CRC and SCRLM. Among patients who underwent laparoscopic surgeries, they had lower rates of postoperative complications (OR = 0.66, 95% CI: 0.46 to 0.96, P = 0.028), less intraoperative blood loss (weight mean difference (WMD) = - 113.31, 95% CI: - 189.03 to - 37.59, P = 0.003), less time in the hospital and recovering after surgeries (WMD = - 2.70, 95% CI: - 3.99 to - 1.40, P = 0.000; WMD = - 3.20, 95% CI: - 5.06 to - 1.34, P = 0.001), but more operating time (WMD = 36.57, 95% CI: 7.80 to 65.35, P = 0.013). Additionally, there were no statistical significance between two kinds of surgical approaches in disease-free survival and overall survival. Moreover, cumulative meta-analysis indicated statistical difference in favor of laparoscopic surgery in terms of morbidity was firstly detected in the 12th study in 2018 (OR = 0.66, 95% CI: 0.46 to 0.96, P = 0.028) as the 95% CI narrowed. CONCLUSION: Compared with open surgeries, laparoscopic surgeries are safer (postoperative complications and intraoperative blood loss) and more effective (length of hospital stay and postoperative stay), and it can be considered as the first option for management of SCRLM in high-volume laparoscopic centers. TRIAL REGISTRATION: CRD42020151176.

Deep Learning for Accurate Diagnosis of Liver Tumor Based on Magnetic Resonance Imaging and Clinical Data.

Background: Early-stage diagnosis and treatment can improve survival rates of liver cancer patients. Dynamic contrast-enhanced MRI provides the most comprehensive information for differential diagnosis of liver tumors. However, MRI diagnosis is affected by subjective experience, so deep learning may supply a new diagnostic strategy. We used convolutional neural networks (CNNs) to develop a deep learning system (DLS) to classify liver tumors based on enhanced MR images, unenhanced MR images, and clinical data including text and laboratory test results. Methods: Using data from 1,210 patients with liver tumors (N = 31,608 images), we trained CNNs to get seven-way classifiers, binary classifiers, and three-way malignancy-classifiers (Model A-Model G). Models were validated in an external independent extended cohort of 201 patients (N = 6,816 images). The area under receiver operating characteristic (ROC) curve (AUC) were compared across different models. We also compared the sensitivity and specificity of models with the performance of three experienced radiologists. Results: Deep learning achieves a performance on par with three experienced radiologists on classifying liver tumors in seven categories. Using only unenhanced images, CNN performs well in distinguishing malignant from benign liver tumors (AUC, 0.946; 95% CI 0.914-0.979 vs. 0.951; 0.919-0.982, P = 0.664). New CNN combining unenhanced images with clinical data greatly improved the performance of classifying malignancies as hepatocellular carcinoma (AUC, 0.985; 95% CI 0.960-1.000), metastatic tumors (0.998; 0.989-1.000), and other primary malignancies (0.963; 0.896-1.000), and the agreement with pathology was 91.9%.These models mined diagnostic information in unenhanced images and clinical data by deep-neural-network, which were different to previous methods that utilized enhanced images. The sensitivity and specificity of almost every category in these models reached the same high level compared to three experienced radiologists. Conclusion: Trained with data in various acquisition conditions, DLS that integrated these models could be used as an accurate and time-saving assisted-diagnostic strategy for liver tumors in clinical settings, even in the absence of contrast agents. DLS therefore has the potential to avoid contrast-related side effects and reduce economic costs associated with current standard MRI inspection practices for liver tumor patients.

Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning.

Hepatocellular carcinoma (HCC) is the most common subtype of liver cancer, and assessing its histopathological grade requires visual inspection by an experienced pathologist. In this study, the histopathological H&E images from the Genomic Data Commons Databases were used to train a neural network (inception V3) for automatic classification. According to the evaluation of our model by the Matthews correlation coefficient, the performance level was close to the ability of a 5-year experience pathologist, with 96.0% accuracy for benign and malignant classification, and 89.6% accuracy for well, moderate, and poor tumor differentiation. Furthermore, the model was trained to predict the ten most common and prognostic mutated genes in HCC. We found that four of them, including CTNNB1, FMN2, TP53, and ZFX4, could be predicted from histopathology images, with external AUCs from 0.71 to 0.89. The findings demonstrated that convolutional neural networks could be used to assist pathologists in the classification and detection of gene mutation in liver cancer.

Fabrication of liver microtissue with liver decellularized extracellular matrix (dECM) bioink by digital light processing (DLP) bioprinting.

As one of the most effective treatments of end-stage liver disease, liver transplantation still suffers from a shortage of donor organs or a low degree of engraftment. Thus, alternatives to liver transplantation, such as liver support systems, have to be extensively explored. In this study, a novel liver microtissue with an inner gear-like structure, which achieved a larger body surface area, was designed and manufactured to improve hepatic functional restoration. The liver-specific bioinks were developed by combining photocurable methacrylated gelatin (GelMA) with liver decellularized extracellular matrix (dECM), and human-induced hepatocytes (hiHep cells) were encapsulated to form cell-laden bioinks. The mechanical properties, swelling, and cytocompatibility of GelMA/dECM bioinks were carefully characterized before 3D printing. Then, the digital light process (DLP)-based bioprinting was used to fabricate the liver microtissue, and liver dECM was found to improve both the printability and cell viability of GelMA bioinks. hiHep cells were also found to spread farther and have better hepatocyte-specific functions (albumin secretion and urea) in the liver microtissue when liver dECM was added to the GelMA bioinks. Our results provide a promising liver dECM-based cell-laden bioink for liver microtissue fabrication, which would be a potential liver tissue engineering product to help restore hepatic functions.