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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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. Ebwk-zRxpETjsimLmTXTMC Video abstract [ABSTRACT FROM AUTHOR]

Background: Although recent studies have reported potential benefits of laparoscopic approach in distal pancreatectomy, reports of conversion during minimally invasive distal pancreatectomy (MIDP) were limited. Methods: This was a retrospective study using data from Sir Run Run Shaw Hospital around May 2013 to December 2018. Outcomes of patients who had conversions during MIDP were compared with patients with successful MIDP and with patients undergoing open distal pancreatectomy (ODP). Results: Two-hundred and eighty-three cases were included in this study: 225 (79.5%) had MIDP, 30 (10.6%) had conversions and 28 (9.9%) had outpatient department. The risk factors for conversion included large lesion size (heart rates [HR]: 5.632, 95% confidencevinterval [CI]: 1.036-1.450, P = 0.018) and pancreatic cancer (HR: 6.957, 95% CI: 1.359-8.022, P = 0.009). Compared with MIDP, those who required conversion were associated with longer operations (P = 0.003), higher blood loss (P < 0.001) and more severe of the complications (P < 0.001). However, no statistically significant differences were found between the conversion group and ODP. Conclusions: Large lesion size and pancreatic cancer were reported to be independent risk factors for conversion during MIDP. As for post-operative outcomes, the outcomes of successfully MIDP were better than those for conversion. However, conversion did not lead to worsening outcomes when compared with ODP. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: The management of gallbladder cancer (GBC) patients with recurrence who need additional therapy or intensive follow-up remains controversial. Therefore, we aim to develop a nomogram to predict survival in GBC patients with recurrence after surgery. Methods: A total of 313 GBC patients with recurrence from our center was identified as a primary cohort, which were randomly divided into a training cohort (N = 209) and an internal validation cohort (N = 104). In addition, 105 patients from other centers were selected as an external validation cohort. Independent prognostic factors, identified by univariate and multivariable analysis, were used to construct a nomogram. The performance of this nomogram was measured using Harrell's concordance index (C-index) and calibration curves. Results: Our nomogram was established by four factors, including time-to-recurrence, site of recurrence, CA19-9 at recurrence, and treatment of recurrence. The C-index of this nomogram in the training, internal and external validation cohort was 0.871, 0.812, and 0.754, respectively. The calibration curves showed an optimal agreement between nomogram prediction and actual observation. Notably, this nomogram could accurately stratify patients into different risk subgroups, which allowed more significant distinction of Kaplan-Meier curves than that of using T category. The 3-year post-recurrence survival (PRS) rates in the low-, medium-, and high-risk subgroups from the external validation cohort were 53.3, 26.2, and 4.1%, respectively. Conclusion: This nomogram provides a tool to predict 1- and 3-year PRS rates in GBC patients with recurrence after surgery. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Hepatocellular carcinoma (HCC) remains as one of the major causes of cancer‐related mortality, despite the recent development of new therapeutic options. Regorafenib, an oral multikinase inhibitor, is the first systemic therapy that has a survival benefit for patients with advanced HCC that have a poor response to sorafenib. Even though regorafenib has been approved by the FDA, the clinical trial for regorafenib treatment does not show significant improvement in overall survival. The impaired efficacy of regorafenib caused by various resistance mechanisms, including epithelial–mesenchymal transitions, inflammation, angiogenesis, hypoxia, oxidative stress, fibrosis and autophagy, still needs to be resolved. In this review, we provide insight on regorafenib microenvironmental, molecular and cellular mechanisms and interactions in HCC treatment. The aim of this review is to help physicians select patients that would obtain the maximal benefits from regorafenib in HCC therapy. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

Background: Pancreatic adenocarcinoma is a highly lethal malignancy. Neoadjuvant chemo(radio)therapy [NAC(R)T] is recommended to use for borderline resectable pancreatic cancer (BRPC) and high-risk resectable pancreatic cancer (RPC), but no high-level evidence exists. Methods: We searched PubMed, EMBASE, Web of Science, and Cochrane library to identify trials comparing survival data of NAC(R)T with SF for RPC or BRPC. Overall survival (OS) was synthesized in analysis of all the patients (intention-to-treat [ITT] analysis) and resected patients respectively. Results: The meta-analysis included 17 trials with 2286 participants. For BRPC, NAC(R)T improved OS both in ITT analysis (HR, 0.49; 95% CI, 0.37–0.65; P < 0.001) and in analysis of resected patients (HR, 0.66; 95% CI, 0.51–0.85; P = 0.001) in comparison to SF, accompanied with comparable overall resection rate [odds ratio (OR), 0.69; 95% Cl, 0.41–1.16; P = 0.159]. Disease-free survival, R0 rate, and recurrence were also in favor of NAC(R)T. For RPC, OS in analysis of resected patients was higher with NAC(R)T (HR, 0.75; 95% CI, 0.63–0.89; P = 0.001), but OS in ITT analysis was similar (HR, 1.02; 95% CI, 0.85–1.22; P = 0.818). The overall resection rate (OR, 0.50; 95% Cl, 0.25–0.99; P = 0.048) was lower, but R0 rate was higher with NAC(R)T. No differences in disease-free survival and recurrence between NAC(R)T and SF. Survival benefits of NAC(R)T basically persisted across sensitivity and subgroup analyses. Conclusions: This meta-analysis demonstrates that NAC(R)T can provide survival benefits in BRPC patients and a subgroup of RPC patients compared with SF. Future research should focus on investigating the potential biomarkers to screen the subgroup of RPC patients who can benefit from neoadjuvant therapy. Trial registration: CRD42018103086. [ABSTRACT FROM AUTHOR]

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 [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]