RedCDR: Dual Relation Distillation for Cancer Drug Response Prediction.

Based on multi-omics data and drug information, predicting the response of cancer cell lines to drugs is a crucial area of research in modern oncology, as it can promote the development of personalized treatments. Despite the promising performance achieved by existing models, most of them overlook the variations among different omics and lack effective integration of multi-omics data. Moreover, the explicit modeling of cell line/drug attribute and cell line-drug association has not been thoroughly investigated in existing approaches. To address these issues, we propose RedCDR, a dual relation distillation model for cancer drug response (CDR) prediction. Specifically, a parallel dual-branch architecture is designed to enable both the independent learning and interactive fusion feasible for cell line/drug attribute and cell line-drug association information. To facilitate the adaptive interacting integration of multi-omics data, the proposed multi-omics encoder introduces the multiple similarity relations between cell lines and takes the importance of different omics data into account. To accomplish knowledge transfer from the two independent attribute and association branches to their fusion, a dual relation distillation mechanism consisting of representation distillation and prediction distillation is presented. Experiments conducted on the GDSC and CCLE datasets show that RedCDR outperforms previous state-of-the-art approaches in CDR prediction. The source code is available at https://github.com/mhxu1998/RedCDR.

Unveiling cancer dormancy: Intrinsic mechanisms and extrinsic forces.

Tumor cells disseminate in various distant organs at early stages of cancer progression. These disseminated tumor cells (DTCs) can stay dormant/quiescent without causing patient symptoms for years or decades. These dormant tumor cells survive despite curative treatments by entering growth arrest, escaping immune surveillance, and/or developing drug resistance. However, these dormant cells can reactivate to proliferate, causing metastatic progression and/or relapse, posing a threat to patients' survival. It's unclear how cancer cells maintain dormancy and what triggers their reactivation. What are better approaches to prevent metastatic progression and relapse through harnessing cancer dormancy? To answer these remaining questions, we reviewed the studies of tumor dormancy and reactivation in various types of cancer using different model systems, including the brief history of dormancy studies, the intrinsic characteristics of dormant cells, and the external cues at the cellular and molecular levels. Furthermore, we discussed future directions in the field and the strategies for manipulating dormancy to prevent metastatic progression and recurrence.

Androgen receptor splice variants drive castration-resistant prostate cancer metastasis by activating distinct transcriptional programs.

One critical mechanism through which prostate cancer (PCa) adapts to treatments targeting androgen receptor (AR) signaling is the emergence of ligand-binding domain-truncated and constitutively active AR splice variants, particularly AR-V7. While AR-V7 has been intensively studied, its ability to activate distinct biological functions compared with the full-length AR (AR-FL), and its role in regulating the metastatic progression of castration-resistant PCa (CRPC), remain unclear. Our study found that, under castrated conditions, AR-V7 strongly induced osteoblastic bone lesions, a response not observed with AR-FL overexpression. Through combined ChIP-seq, ATAC-seq, and RNA-seq analyses, we demonstrated that AR-V7 uniquely accesses the androgen-responsive elements in compact chromatin regions, activating a distinct transcription program. This program was highly enriched for genes involved in epithelial-mesenchymal transition and metastasis. Notably, we discovered that SOX9, a critical metastasis driver gene, was a direct target and downstream effector of AR-V7. Its protein expression was dramatically upregulated in AR-V7-induced bone lesions. Moreover, we found that Ser81 phosphorylation enhanced AR-V7's pro-metastasis function by selectively altering its specific transcription program. Blocking this phosphorylation with CDK9 inhibitors impaired the AR-V7-mediated metastasis program. Overall, our study has provided molecular insights into the role of AR splice variants in driving the metastatic progression of CRPC.

The application of chitosan quaternary ammonium salt to replace polymeric aluminum ferric chloride for sewage sludge dewatering.

Inorganic coagulants such as poly aluminum ferric chloride (Al/Fe) are applied conventionally to sewage sludge dewatering and can be retained in the sludge cake, causing its conductivity to increase and generate secondary pollution. To reduce these disadvantages, there is a need to develop alternative, more sustainable chemicals as substitutes for conventional inorganic coagulants. In the present investigation, the application of a polymeric chitosan quaternary ammonium salt (CQAS) is explored as a complete, or partial, replacement for Al/Fe in the context of sludge dewatering processes. Laboratory experiments using digested sewage sludge showed that CQAS could effectively substitute for over 80 % of the Al/Fe inorganic coagulant in the sludge dewatering process. This substitution resulted in a reduction of sludge cake conductivity by more than 50 %. Simulation of sludge dewatering curves and imaging of the sludge surface indicated that the addition of CQAS led to an increase in nanosized pores, and a decrease in the specific resistance of the sludge filter cake as the dosage of Al/Fe decreased to around 30 %. The variations of fluorescence emission, quantum yield and carboxylic and amino groups, suggested that the chelating of Al/Fe decreased due to the bridging effects of CQAS. The CQAS had different flocculation bridging effects on various EPS fractions, which varied the amount of protein chelated with Al/Fe in each fraction. This study provides new information about the benefits of replacing conventional inorganic coagulants with natural organic polymers for sewage sludge dewatering, in terms of reduced sludge cake conductivity and greater dry solids content.

Effective multi-modal clustering method via skip aggregation network for parallel scRNA-seq and scATAC-seq data.

In recent years, there has been a growing trend in the realm of parallel clustering analysis for single-cell RNA-seq (scRNA) and single-cell Assay of Transposase Accessible Chromatin (scATAC) data. However, prevailing methods often treat these two data modalities as equals, neglecting the fact that the scRNA mode holds significantly richer information compared to the scATAC. This disregard hinders the model benefits from the insights derived from multiple modalities, compromising the overall clustering performance. To this end, we propose an effective multi-modal clustering model scEMC for parallel scRNA and Assay of Transposase Accessible Chromatin data. Concretely, we have devised a skip aggregation network to simultaneously learn global structural information among cells and integrate data from diverse modalities. To safeguard the quality of integrated cell representation against the influence stemming from sparse scATAC data, we connect the scRNA data with the aggregated representation via skip connection. Moreover, to effectively fit the real distribution of cells, we introduced a Zero Inflated Negative Binomial-based denoising autoencoder that accommodates corrupted data containing synthetic noise, concurrently integrating a joint optimization module that employs multiple losses. Extensive experiments serve to underscore the effectiveness of our model. This work contributes significantly to the ongoing exploration of cell subpopulations and tumor microenvironments, and the code of our work will be public at https://github.com/DayuHuu/scEMC.

Effect of inflammation on association between cancer and coronary artery disease.

BACKGROUND: Cancer and coronary artery disease (CAD) is reported to often co-exist in same individuals, however, whether cancer is directly associated with anatomical severity of CAD is rarely studied. The present study aimed to observe the relationship between newly diagnosed cancer and anatomical severity of CAD, moreover, to investigate effect of inflammation on the relationship of cancer with CAD. METHODS: 374 patients with newly diagnosed cancer who underwent coronary angiography (CAG) were enrolled. Through 1:3 propensity score matching (PSM) to cancer patients based on the age and gender among 51,106 non-cancer patients who underwent CAG, 1122 non-cancer patients were selected as control patients. Anatomical severity of CAD was assessed using SYNTAX score (SXscore) based on coronary angiographic image. SXscore ≤ 22 (highest quartile) was defined as SX-low, and SXscore > 22 as SX-high. The ratio of neutrophil to lymphocyte count (NLR) was used to describe inflammation level. Association between cancer and the anatomical severity of CAD was investigated using logistic regression. RESULTS: Univariate logistic regression analysis showed a correlation between cancer and anatomical severity of CAD (OR: 1.419, 95% CI: 1.083-1.859; P = 0.011). Cancer was associated with increased risk of SX-high after adjusted for common risk factors of CAD (OR: 1.598, 95% CI: 1.172-2.179, P = 0.003). Significant association between cancer and SX-high was revealed among patients with high inflammation (OR: 1.656, 95% CI: 1.099-2.497, P = 0.016), but not among patients with low inflammation (OR: 1.530, 95% CI: 0.973-2.498, P = 0.089). CONCLUSIONS: Cancer was associated with severity of CAD, however, the association between the two diseases was significant among patients with high inflammation rather than among patients with low inflammation.

SGT++: Improved Scene Graph-Guided Transformer for Surgical Report Generation.

Automatically recording surgical procedures and generating surgical reports are crucial for alleviating surgeons' workload and enabling them to concentrate more on the operations. Despite some achievements, there still exist several issues for the previous works: 1) failure to model the interactive relationship between surgical instruments and tissue; and 2) neglect of fine-grained differences within different surgical images in the same surgery. To address these two issues, we propose an improved scene graph-guided Transformer, also named by SGT++, to generate more accurate surgical report, in which the complex interactions between surgical instruments and tissue are learnt from both explicit and implicit perspectives. Specifically, to facilitate the understanding of the surgical scene graph under a graph learning framework, a simple yet effective approach is proposed for homogenizing the input heterogeneous scene graph. For the homogeneous scene graph that contains explicit structured and fine-grained semantic relationships, we design an attention-induced graph transformer for node aggregation via an explicit relation-aware encoder. In addition, to characterize the implicit relationships about the instrument, tissue, and the interaction between them, the implicit relational attention is proposed to take full advantage of the prior knowledge from the interactional prototype memory. With the learnt explicit and implicit relation-aware representations, they are then coalesced to obtain the fused relation-aware representations contributing to generating reports. Some comprehensive experiments on two surgical datasets show that the proposed STG++ model achieves state-of-the-art results.

Tumor removal limits prostate cancer cell dissemination in bone and osteoblasts induce cancer cell dormancy through focal adhesion kinase.

BACKGROUND: Disseminated tumor cells (DTCs) can enter a dormant state and cause no symptoms in cancer patients. On the other hand, the dormant DTCs can reactivate and cause metastases progression and lethal relapses. In prostate cancer (PCa), relapse can happen after curative treatments such as primary tumor removal. The impact of surgical removal on PCa dissemination and dormancy remains elusive. Furthermore, as dormant DTCs are asymptomatic, dormancy-induction can be an operational cure for preventing metastases and relapse of PCa patients. METHODS: We used a PCa subcutaneous xenograft model and species-specific PCR to survey the DTCs in various organs at different time points of tumor growth and in response to tumor removal. We developed in vitro 2D and 3D co-culture models to recapitulate the dormant DTCs in the bone microenvironment. Proliferation assays, fluorescent cell cycle reporter, qRT-PCR, and Western Blot were used to characterize the dormancy phenotype. We performed RNA sequencing to determine the dormancy signature of PCa. A drug repurposing algorithm was applied to predict dormancy-inducing drugs and a top candidate was validated for the efficacy and the mechanism of dormancy induction. RESULTS: We found DTCs in almost all mouse organs examined, including bones, at week 2 post-tumor cell injections. Surgical removal of the primary tumor reduced the overall DTC abundance, but the DTCs were enriched only in the bones. We found that osteoblasts, but not other cells of the bones, induced PCa cell dormancy. RNA-Seq revealed the suppression of mitochondrial-related biological processes in osteoblast-induced dormant PCa cells. Importantly, the mitochondrial-related biological processes were found up-regulated in both circulating tumor cells and bone metastases from PCa patients' data. We predicted and validated the dormancy-mimicking effect of PF-562,271 (PF-271), an inhibitor of focal adhesion kinase (FAK) in vitro. Decreased FAK phosphorylation and increased nuclear translocation were found in both co-cultured and PF-271-treated C4-2B cells, suggesting that FAK plays a key role in osteoblast-induced PCa dormancy. CONCLUSIONS: Our study provides the first insights into how primary tumor removal enriches PCa cell dissemination in the bones, defines a unique osteoblast-induced PCa dormancy signature, and identifies FAK as a PCa cell dormancy gatekeeper.

Tumor-targeted bioactive nanoprobes visualizing of hydrogen peroxide for forecasting chemotherapy-exacerbated malignant prognosis.

Introduction: Fluorescent visualization of hydrogen peroxide in the tumor microenvironment (TME) is conducive to predicting malignant prognosis after chemotherapy. Two photon microscopy has been employed for in vivo hydrogen peroxide detection owing to its advantages of deep penetration and low phototoxicity. Methods: In this study, a two-photon fluorescent probe (TPFP) was protected by mesoporous silica nanoparticles (MSNs) and masked by cloaking the cancer cell membranes (CM), forming a tumor-targeted bioactive nanoprobe, termed MSN@TPFP@CM. Results: This multifunctional nanoprobe allowed for the effective and selective detection of excessive hydrogen peroxide production in chemotherapeutic Etoposide (VP-16)-challenged tumor cells using two-photon microscopy. After specific accumulation in tumors, VP-16-MSN@TPFP@CM monitored tumor-specific hydrogen peroxide levels and revealed a positive correlation between oxidative stress in the TME and chemotherapy-exacerbated malignant prognosis. Discussion: Given the recent translation of fluorescent imaging into early clinical trials and the high biocompatibility of bioactive nanoprobes, our approach may pave the way for specific imaging of oxidative stress in solid tumors after treatment and provide a promising technology for malignant prognosis predictions.

Parathyroid Hormone-Related Protein/Parathyroid Hormone Receptor 1 Signaling in Cancer and Metastasis.

PTHrP exerts its effects by binding to its receptor, PTH1R, a G protein-coupled receptor (GPCR), activating the downstream cAMP signaling pathway. As an autocrine, paracrine, or intracrine factor, PTHrP has been found to stimulate cancer cell proliferation, inhibit apoptosis, and promote tumor-induced osteolysis of bone. Despite these findings, attempts to develop PTHrP and PTH1R as drug targets have not produced successful results in the clinic. Nevertheless, the efficacy of blocking PTHrP and PTH1R has been shown in various types of cancer, suggesting its potential for therapeutic applications. In light of these conflicting data, we conducted a comprehensive review of the studies of PTHrP/PTH1R in cancer progression and metastasis and highlighted the strengths and limitations of targeting PTHrP or PTH1R in cancer therapy. This review also offers our perspectives for future research in this field.

Upregulation of matrix metalloproteinase 14 (MMP14) is associated with poor prognosis in renal clear cell carcinoma-a bioinformatics analysis.

Background: Matrix metalloproteinase 14 (MMP14) has been reported to be upregulated in some types of cancer and to promote cancer cell invasion and metastasis. However, the expression profile and functional role of MMP14 in kidney renal clear cell carcinoma (KIRC) remains unknown. This study investigated the association between MMP14 expression level and prognosis in KIRC. Methods: The messenger RNA (mRNA) expression profile and clinical data (including T stage, N stage, M stage, pathologic stage, gender, race, age, histologic grade, serum calcium, hemoglobin) were obtained from The Cancer Genome Atlas (TCGA) and Genotype-Tissue Expression (GTEx) database. Protein expression was evaluated by immunohistochemistry in the Human Protein Atlas (HPA) database. Correlation analyses between MMP14 and all mRNAs in KIRC were batch calculated, and gene set enrichment analyses (GSEA) were then conducted of Disease Ontology (DO) terms and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways using R packages. Multivariate logistic regression analysis was used to explore the prognostic factors of KIRC patients. Results: The gene expression of MMP14 was significantly upregulated in KIRC tissues when compared with the normal tissue (P<0.001). The predictive ability of MMP14 as a variable for predicting tumor and normal outcomes had certain accuracy based on the receiver operating characteristic (ROC) model [area under the curve (AUC) =0.881, confidence interval (CI): 0.844-0.917]. When compared with the normal kidney tissue, the protein expression of MMP14 in KIRC got an increased trend, but due to the limited sample size, the difference is not statistically significant (P>0.05). Survival analysis revealed that MMP14 was significantly associated with overall survival in KIRC (P=0.013). GSEA of DO terms indicated high expression of MMP14 was related to KIRC, and GSEA of KEGG pathways showed that MMP14 and its coexpressed genes were significantly positively correlated with pathways in cancer. Signaling pathway GSEA indicated the upregulation of MMP14 in KIRC may activate cancer pathways. Conclusions: MMP14 may be associated with poor prognosis in KIRC and may be a potential prognostic marker for KIRC.

Inflammation-based different association between anatomical severity of coronary artery disease and lung cancer.

BACKGROUND: Coronary artery disease (CAD) is associated with cancer. The role of inflammation in the association of CAD with cancer remains unclear. The study investigated whether inflammation could impact the relationship between CAD and lung cancer. METHODS: The study involved 96 newly diagnosed lung cancer patients without receiving anti-cancer therapy and 288 matched non-cancer patients. All the patients underwent coronary angiography and were free from previous percutaneous coronary intervention or coronary artery bypass grafting. SYNTAX score (SXscore) were used to assess severity of CAD. High SXscore (SXhigh) grade was defined as SXscore > 16 (highest quartile). Neutrophil-to-lymphocyte ratio (NLR) served as an inflammatory biomarker. NLR-high grade referred to NLR > 2.221 (median). RESULTS: Among 384 study patients, 380 patients (98.96%) had NLR value (median: 2.221, interquartile range: 1.637-3.040). Compared to non-cancer patients, lung cancer patients had higher rate of SXhigh among total study patients (P = 0.014) and among patients with NLR-high (P = 0.006), but had not significantly higher rate of SXhigh among patients with NLR-low (P = 0.839). Multivariate logistic regression analysis showed that SXhigh was associated with lung cancer [odds ratio (OR) = 1.834, 95% CI: 1.063-3.162, P = 0.029]. Subgroup analysis showed that SXhigh was associated with lung cancer among patients with NLR-high (OR = 2.801, 95% CI: 1.355-5.794, P = 0.005), however, the association between SXhigh and lung cancer was not significant among patients with NLR-low (OR = 0.897, 95% CI: 0.346-2.232, P = 0.823). CONCLUSIONS: Inflammation could lead different association between anatomical severity of CAD and lung cancer. Severity of CAD was significantly associated with increased risk of lung cancer among patients with high inflammation rather than among patients with low inflammation.

Biomimetic co-assembled nanodrug of doxorubicin and berberine suppresses chemotherapy-exacerbated breast cancer metastasis.

Chemotherapy is a major approach for treating breast cancer patients. Paradoxically, it can also induce cancer progression. Understanding post-chemotherapy metastasis mechanism will help the development of new therapeutic strategies to ameliorate chemotherapy-induced cancer progression. In this study, we deciphered the role of HMGB1 in the regulation of TLR4-mediated epithelial to mesenchymal transitions (EMT) process on doxorubicin (Dox)-treated 4T1 breast cancer cells. Berberine (Ber), a clinically approved alkaloid has been demonstrated as an HMGB1-TLR4 axis regulator to Dox-exacerbated breast cancer metastasis in vitro and in vivo. Hypothesizing that combination of Dox and Ber would be beneficial for breast cancer chemotherapy, we engineered self-assembled nanodrug (DBNP) consisting of Dox and Ber without the aid of additional carriers. After cloaking with 4T1 cell membranes, DBNP@CM exhibited higher accumulation at tumor sites and prolonged blood circulation time in 4T1 orthotopic tumor-bearing mice than DBNP. Importantly, DBNP@CM not only effectively inhibited tumor growth with fewer side effects, but also remarkably suppressed pulmonary metastasis via blocking HMGB1-TLR4 axis. Together, our results have provided a promising combination strategy to dampen chemotherapy-exacerbated breast cancer metastasis and shed light on the development of biomimetic nanodrug for efficient and safe breast cancer chemotherapy.

Berberine inhibits chemotherapy-exacerbated ovarian cancer stem cell-like characteristics and metastasis through GLI1.

Despite the remarkable clinical response in ovarian cancer therapy, the distinctively high metastasis rate is still a barrier to achieve satisfying prognosis. Our study aimed to decipher the role of berberine in inhibiting chemotherapy-exacerbated ovarian cancer metastasis. We found that chemotherapy exacerbated the migration and cancer stem cell (CSC)-like characteristics through transcriptional factor GLI1, which regulated the pluripotency-associated gene BMI1 and the epithelial-mesenchymal transition (EMT) markers Vimentin and Snail. Berberine could not only down-regulate CSC-like characteristics but also reverse EMT and migration through inhibiting chemotherapy-activated GLI1/BMI1 signaling pathway. Together, our study revealed the pivotal role of berberine in overcoming chemotherapy-exacerbated ovarian cancer metastasis, thereby provided a potential adjuvant therapeutic agent in combination with chemotherapeutics to prevent metastasis during ovarian cancer chemotherapy.

Berberine Inhibits the Apoptosis-Induced Metastasis by Suppressing the iPLA2/LOX-5/LTB4 Pathway in Hepatocellular Carcinoma.

PURPOSE: Hepatocellular carcinoma (HCC) is one of the most malignant cancers around the world. HCC is less sensitive to conventional cytotoxic agents and easily develops into systemic metastases. However, the molecular mechanisms of the metastasis of HCC are poorly understood and need elucidation. MATERIALS AND METHODS: Transwell system of the chemotherapy-challenged and unchallenged HepG2 cells was established. Adhesion assay and scratch-wound assay were utilized to analyze the adhesion and migration of HepG2 cells. iPLA2 and LOX-5 expression were analyzed by Western blot. LTB4 level was analyzed by ELISA. RESULTS: Chemotherapeutics are traditionally regarded as a way of killing tumor cells; on the other hand, we proved that the chemotherapeutics-induced tumor cell apoptosis can also change the tumor microenvironment by activating the LOX pathway and subsequently release inflammatory factors such as LTB4 which can stimulate the adhesion and migration of the small number of surviving cells. Berberine can reverse the adhesion and migration of HepG2 cells by inhibiting the expression of LOX-5 and reducing the LTB4 production in the tumor microenvironment. CONCLUSION: Our study sheds light on a novel anti-metastasis strategy that the combination of Berberine and chemotherapy may prevent the chemotherapy-induced metastasis in HCC.

Chemotherapy exacerbates ovarian cancer cell migration and cancer stem cell-like characteristics through GLI1.

BACKGROUND: Despite the great clinical response to the first-line chemotherapeutics, metastasis still happens among most of the ovarian cancer patients within 2 years. METHODS: Using multiple human ovarian cancer cell lines, a transwell co-culture system of the carboplatin or VP-16-challenged feeder and receptor cells was established to demonstrate the chemotherapy-exacerbated migration. The migration and cancer stem cell (CSC)-like characteristics were determined by wound healing, transwell migration, flow cytometry and sphere formation. mRNA and protein expression were identified by qPCR and western blot. Bioinformatics analysis was used to investigate the differentially expressed genes. GLI1 expression in tissue samples was analysed by immunohistochemistry. RESULTS: Chemotherapy was found to not only kill tumour cells, but also trigger the induction of CSC-like traits and the migration of ovarian cancer cells. EMT markers Vimentin and Snail in receptor cells were upregulated in the microenvironment of chemotherapy-challenged feeder cells. The transcription factor GLI1 was upregulated by chemotherapy in both clinical samples and cell lines. Follow-up functional experiments illustrated that inhibiting GLI1 reversed the chemotherapy-exacerbated CSC-like traits, including CD44 and CD133, as well as prevented the migration of ovarian cancer cells. CONCLUSIONS: Targeting GLI1 may improve clinical benefits in the chemotherapy-exacerbated metastasis in ovarian cancer treatment.

HNF-4α inhibits hepatocellular carcinoma cell proliferation through mir-122-adam17 pathway.

Hepatocellular carcinoma (HCC) is one of the most common human cancers, its prevalence and severity need us to discover novel early diagnostic biomarkers and new therapeutic strategies. MicroRNA-122 is the most abundant microRNA in the liver, and acts as a tumor suppressor and represses HCC development. In our study we showed that HNF-4α and MiR-122 were down-regulated significantly in hepatocellular carcinoma. Over-expression of HNF-4α inhibit hepatocellular carcinoma cells proliferation. And miR-122 is one of the downstream effector of HNF-4α. Up-regulated miR-122 inhibited hepatocellular carcinoma cells proliferation through regulating ADAM17. Collectively, our results suggested that HNF-4α could inhibit hepatocellular carcinoma proliferation with miR-122 being a downstream target of it. And miR-122 would inhibit hepatocellular carcinoma proliferation by regulating ADAM17 signal pathway.

Effect of Toll-like receptor 4 on depressive-like behaviors induced by chronic social defeat stress.

INTRODUCTION: A growing body of evidence suggests that stress is an important factor in depression, and pro-inflammatory cytokines contribute to the occurrence and development of depression in both animal models and human patients. Toll-like receptor 4 (TLR4) has been shown to be a key innate immune pattern recognition receptor involved in the regulation of stress responses and inflammation. However, the exact effects of TLR4 on depressive-like behaviors induced by chronic social defeat stress (CSDS) are not known. METHODS: In this study, the effects of TLR4 on depressive-like behaviors were investigated in an animal model of depression induced by CSDS. The depressive-like behaviors were assessed by forced swimming test (FST), social interaction test (SIT), and light-dark box test (LDT). The protein expressions of TLR4 and tumor necrosis factor-α (TNF-α) in the hippocampus were measured using Western blotting. RESULTS: We found that CSDS increased TLR4 protein levels in the hippocampus and induced behavioral despair in FST, social avoidance in SIT, and anxiety-like behavior in LDT. Fluoxetine normalized the increased expression of TLR4 and reversed behavioral despair, social avoidance, as well as anxiety-like behavior induced by CSDS. However, directly blocking TLR4, by using either TLR4 inhibitor TAK-242 or knockout of TLR4, only inhibited behavioral despair, but not social avoidance or anxiety-like behavior induced by CSDS. CONCLUSIONS: These results demonstrate a specific modulating role of TLR4 in behavioral despair induced by CSDS and suggest that TAK-242 may be a beneficial treatment for patients with behavioral despair.

Janus nanocarrier-based co-delivery of doxorubicin and berberine weakens chemotherapy-exacerbated hepatocellular carcinoma recurrence.

Despite the rapid progress which has been made in hepatocellular carcinoma (HCC) chemotherapeutics, recurrence of liver cancer still remains a barrier to achieve satisfying prognosis. Herein, we aimed to decipher the role of berberine (BER) in chemotherapy-exacerbated HCC repopulation via developing a nanocarrier co-deliveries doxorubicin (DOX) and BER to achieve a synergic effect in HCC treatment. The underlying fact of chemotherapy that promotes HCC repopulation was firstly examined and corroborated by clinical samples and murine repopulation model. Then, hyaluronic acid (HA)-conjugated Janus nanocarrier (HA-MSN@DB) was developed to load DOX and BER simultaneously. The HCC targeting efficiency, pH-controlled drug-release and anti-cancer property of HA-MSN@DB were assessed in CD44-overexpressed HCCs and normal liver cells. Magnet resonance imaging, bio-distribution, biocompatibility, tumor and recurrence inhibition studies were performed in H22 tumor-bearing mice. BER significantly reduced doxorubicin (DOX)-triggered HCC repopulation in vitro and in vivo through inhibiting Caspase-3-iPLA2-COX-2 pathway. The delivery of HA-MSN@DB into HCCs through CD44 receptor-mediated targeting effect was demonstrated. The controlled release of DOX and BER in response to acidic tumor microenvironment was validated. Importantly, HA-MSN@DB drastically enhanced the antitumor activity of DOX and suppressed DOX-exacerbated HCC repopulation in vitro and in vivo. Furthermore, HA-MSN@DB exhibited enhanced tumor accumulation and biocompatibility. Our findings revealed the pivotal role of BER in overcoming chemotherapy-exacerbated HCC repopulation through Caspase-3-iPLA2-COX-2 pathway, thereby providing a promising and stable nanocarrier integrating DOX and BER for effective HCC chemotherapy without repopulation. STATEMENT OF SIGNIFICANCE: In this work, we have first demonstrated the fact that berberine (Ber) reduces chemotherapy-exacerbated HCC recurrence and studied its mechanism by the aid of a doxorubicin-induced mice HCC relapse model. We then developed a promising strategy that simultaneously inhibits HCC and its recurrence with an HCC-targeted co-delivery nanocarrier HA-MSN@DB and revealed that such an inhibition was related with the suppression of Caspase-3-iPLA2-COX-2 pathway by berberine.

5-FU preferably induces apoptosis in BRAF V600E colorectal cancer cells via downregulation of Bcl-xL.

Fluorouracil (5-FU) which has been widely used in postoperative adjuvant therapy in patients with colon cancer, remains the main backbone of combination treatment of patients with colon cancer. However, the efficacy of 5-FU alone in colorectal cancer patients with BRAFV600E is not clear. In this study, we demonstrated that BRAFV600E confers sensitivity to 5-FU in vitro and in vivo xenograft model, using the paired isogenic colorectal cancer cell lines RKO with either BRAF Wild Type (WT)(+/-) or mutant (Mut) (600E/-). Our results revealed 5-FU preferably induces marked apoptosis in BRAF-mutant colorectal cancer cells, through attenuating expression of Bcl-xL and activation caspase-3/9 pathway, eventually conferring the anti-tumor efficacy of 5-FU in vitro and in vivo. Meanwhile, expression of Bcl-xL remained unchanged in BRAF WT group after treatment of 5-FU, although low extent of anti-tumor activity of 5-FU still being observed. In conclusion, these results provided a better understanding of clinical outcome of 5-FU between BRAF WT and mutant colorectal cancer patients, and suggested the inhibition of Bcl-xL might present an alternative strategy to enhance the therapeutic efficacy of 5-FU in colorectal cancer patients with BRAF mutation.