Autophagy and biotransformation affect sorafenib resistance in hepatocellular carcinoma

Targeting TIME in advanced hepatocellular carcinoma: Mechanisms of drug resistance and treatment strategies

Hepatocellular carcinoma (HCC) is the predominant form of primary liver cancer. While early-stage HCC can be effectively managed with surgical resection and other interventions, treatment options for advanced HCC are limited. Current systemic treatments for advanced HCC include VEGF-targeted tyrosine kinase inhibitors (Sorafenib, Lenvatinib), and the combination therapy of anti PD-1/PD-L1 and anti VEGF (Atezolizumab plus Bevacizumab, Camrelizumab plus Rivoceranib). However, the lack of response to these drugs and the emergence of acquired drug resistance significantly impairs their efficacy. Numerous studies have demonstrated that the tumor immune microenvironment (TIME) plays a crucial role in modulating the response to these therapies. Various immune cells and their secreted factors within the TIME play a pivotal role in the emergence of secondary drug resistance in HCC. This article reviews the mechanism of TIME promoting drug resistance, discusses the influence of current systemic HCC treatment drugs on TIME, and evaluates how these TIME changes affect the efficacy of treatment. A deeper understanding of the interaction between TIME and systemic treatment drugs may be beneficial to enhance the treatment effect, mitigate drug resistance of advanced HCC, and ultimately improve the prognosis of patients.

Autocrine and paracrine LIF signals to collaborate sorafenib-resistance in hepatocellular carcinoma and effects of Kanglaite Injection

BACKGROUND

Sorafenib (SFN) is the first-line medicine for advanced hepatocellular carcinoma (HCC). However, Sorafenib resistance is a main challenge of therapeutic efficacy, and the mechanisms have not been fully clarified.

PURPOSE

The purpose of this study was to investigate the therapeutic potential and mechanism of action of LIF in modulating the microenvironment of SFN resistance as well as Kanglaite Injection (KLTI) in ameliorating SFN resistance in HCC and to guide future research directions for drug combination for HCC.

METHODS

Established SFN-resistance HCC cell line was used to study the relationship between resistance and immunosuppression in HCC-tumor microenvironment (TME). In vivo macrophage and natural killer (NK) cells depletion were achieved by clodronate liposomes (CL) and anti-NK1.1. In vitro multiple cell co-culture systems were used to determine the effects of KLTI on SFN-resistant. Likewise, flow cytometry, qRT-PCR, Western blot, and immunohistochemistry analysis were performed for further mechanistic investigation.

RESULTS

Tumor associated-macrophages (TAMs) and NK cells mediated SFN-resistance in murine HCC. In the case of SFN resistance, the paracrine-leukemia inhibitory factor (LIF) by M2-like TAMs increased and potently suppressed NK cells proliferation and cytotoxicity, which finally inducing NK cells exhaustion and malignancy of HCC metastasis. Meanwhile, SFN resistance led to the increased autocrine-LIF of tumor cells, and further promoted the protective autophagy and activation of the acquired drug-resistant pathway PI3K/Akt/mTOR. KLTI could ameliorate the resistance of tumor immune microenvironment (TIME) and enhance the sensitivity of HCC to SFN by regulating LIF and macrophage-NK cell interaction.

CONCLUSIONS

Our findings verify the therapeutic effects of targeting LIF in SFN-resistance, uncover the potential mechanism for the increased sensitivity to SFN and sought to elucidate how this intervention might contribute to overcoming SFN resistance. KLTI is a promising immunomodulatory drug by regulating LIF and macrophage-NK cell interaction, which could be a potential combination partner for HCC treatment.

Accumulation of microtubule-associated protein tau promotes hepatocellular carcinogenesis through inhibiting autophagosome-lysosome fusion

Dysregulated expression of microtubule-associated protein tau (MAPT) has been reported in a variety of human cancers. However, whether and how Tau influences hepatocellular carcinogenesis remains elusive. This study was aimed to investigate the role and the underlying mechanism of Tau in the proliferation, invasion, migration and sorafenib sensitivity of hepatocellular carcinoma (HCC) cells. An increased level of Tau was found in the primary tumor samples of HCC compared with the adjacent normal liver tissues, and the increase of Tau was positively correlated with p62 evidenced by the data obtained from The Cancer Genome Atlas (TCGA), Gene Expression Profiling Interactive Analysis (GEPIA), and human samples from HCC patients. The high Tau expression was also correlated with a poorer survival in HCC patients demonstrated by using the GEPIA survival analysis and OncoLnc database. Further studies showed that Tau overexpression promoted the growth, invasion and migration and decreased sorafenib sensitivity in HepG2 and Huh7 cells; Tau also accelerated growth of xenograft tumors with blockage of autophagosome-lysosome fusion. Finally, overexpressing Tau inhibited AMPK, which contributed to Tau-induced promotion of hepatocellular carcinogenesis. In conclusion, our study provides the proof-of-concept evidence validating Tau as an attractive HCC target.

The regulatory role of mitotic catastrophe in hepatocellular carcinoma drug resistance mechanisms and its therapeutic potential

This review focuses on the role and underlying mechanisms of mitotic catastrophe (MC) in the regulation of drug resistance in hepatocellular carcinoma (HCC). HCC is one of the leading causes of cancer-related mortality worldwide, posing significant treatment challenges due to its high recurrence rates and drug resistance. Research suggests that MC, as a mechanism of cell death, plays a crucial role in enhancing the efficacy of HCC treatment by disrupting the replication and division mechanisms of tumor cells. The present review summarizes the molecular mechanisms of MC and its role in HCC drug resistance and explores the potential of combining MC with existing cancer therapies to improve treatment outcomes. Future research should focus on the in-depth elucidation of the molecular mechanisms of MC and its application in HCC therapy, providing new insights for the development of more effective treatments.

Roles of clinical application of lenvatinib and its resistance mechanism in advanced hepatocellular carcinoma (Review)

Lenvatinib (LEN) is a multi-target TKI, which plays a pivotal role in the treatment of advanced hepatocellular carcinoma (HCC). The inevitable occurrence of drug resistance still prevents curative potential and is deleterious for the prognosis, and a growing body of studies is accumulating, which have devoted themselves to unveiling its underlying resistance mechanism and made some progress. The dysregulation of crucial signaling pathways, non-coding RNA and RNA modifications were proven to be associated with LEN resistance. A range of drugs were found to influence LEN therapeutic efficacy. In addition, the superiority of LEN combination therapy has been shown to potentially overcome the limitations of LEN monotherapy in a series of research, and a range of promising indicators for predicting treatment response and prognosis have been discovered in recent years. In this review, we summarize the latest developments in LEN resistance, the efficacy and safety of LEN combination therapy as well as associated indicators, which may provide new insight into its resistance as well as ideas in the treatment of advanced HCC.

Advances in hepatocellular carcinoma drug resistance models

Hepatocellular carcinoma (HCC) is the most common primary liver cancer. Surgery has been the major treatment method for HCC owing to HCC's poor sensitivity to radiotherapy and chemotherapy. However, its effectiveness is limited by postoperative tumour recurrence and metastasis. Systemic therapy is applied to eliminate postoperative residual tumour cells and improve the survival of patients with advanced HCC. Recently, the emergence of various novel targeted and immunotherapeutic drugs has significantly improved the prognosis of advanced HCC. However, targeted and immunological therapies may not always produce complete and long-lasting anti-tumour responses because of tumour heterogeneity and drug resistance. Traditional and patient-derived cell lines or animal models are used to investigate the drug resistance mechanisms of HCC and identify drugs that could reverse the resistance. This study comprehensively reviewed the established methods and applications of in-vivo and in-vitro HCC drug resistance models to further understand the resistance mechanisms in HCC treatment and provide a model basis for possible individualised therapy.

The involvement of ROS-regulated programmed cell death in hepatocellular carcinoma

Reactive oxidative species (ROS) is a crucial factor in the regulation of cellular biological activity and function, and aberrant levels of ROS can contribute to the development of a variety of diseases, particularly cancer. Numerous discoveries have affirmed that this process is strongly associated with "programmed cell death (PCD)," which refers to the suicide protection mechanism initiated by cells in response to external stimuli, such as apoptosis, autophagy, ferroptosis, etc. Research has demonstrated that ROS-induced PCD is crucial for the development of hepatocellular carcinoma (HCC). These activities serve a dual function in both facilitating and inhibiting cancer, suggesting the existence of a delicate balance within healthy cells that can be disrupted by the abnormal generation of reactive oxygen species (ROS), thereby influencing the eventual advancement or regression of a tumor. In this review, we summarize how ROS regulates PCD to influence the tumorigenesis and progression of HCC. Studying how ROS-induced PCD affects the progression of HCC at a molecular level can help develop better prevention and treatment methods and facilitate the design of more effective preventative and therapeutic strategies.

Autophagy plays a pro-apoptotic role in arsenic trioxide-induced cell death of liver cancer

OBJECTIVE

The effects of arsenic trioxide (As2O3) on hepatocellular carcinoma have been documented widely. Autophagy plays dual roles in the survival and death of cancer cells. Therefore, we investigated the exact role of autophagy in As2O3-induced apoptosis in liver cancer cells.

METHODS

The viability of hepatoma cells was determined using the MTT assay with or without fetal bovine serum. The rate of apoptosis in liver cancer cells treated with As2O3 was evaluated using flow cytometry, Hoechst 33258 staining, and TUNEL assays. The rate of autophagy among liver cancer cells treated with As2O3 was detected using immunofluorescence, Western blot assay and transmission electron microscopy.

RESULTS

Upon treatment with As2O3, the viability of HepG2 and SMMC-7721 cells was decreased in a time- and dose-dependent manner. The apoptosis rates of both liver cancer cell lines increased with the concentration of As2O3, as shown by flow cytometry. Apoptosis in liver cancer cells treated with As2O3 was also shown by the activation of the caspase cascade and the regulation of Bcl-2/Bax expression. Furthermore, As2O3 treatment induced autophagy in liver cancer cells; this finding was supported by Western blot, immunofluorescence of LC3-II and beclin 1, and transmission electron microscopy. In liver cancer cells, As2O3 inhibited the phosphoinositide 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/AKT/mTOR) signal pathway that plays a vital role in both apoptosis and autophagy. The PI3K activator SC-79 partially reversed As2O3-induced autophagy and apoptosis. Furthermore, inhibiting autophagy with 3-methyladenine partially reversed the negative effects of As2O3 on cell viability. Serum starvation increased autophagy and amplified the effect of As2O3 on cell death.

CONCLUSION

As2O3 induces apoptosis and autophagy in liver cancer cells. Autophagy induced by As2O3 may have a proapoptotic effect that helps to reduce the viability of liver cancer cells. This study provides novel insights into the effects of As2O3 against liver cancer. Please cite this article as: Deng ZT, Liang SF, Huang GK, Wang YQ, Tu XY, Zhang YN, Li S, Liu T, Cheng BB. Autophagy plays a pro-apoptotic role in arsenic trioxide-induced cell death of liver cancer. J Integr Med. 2024; 22(3): 295-302.

Investigating autophagy and intricate cellular mechanisms in hepatocellular carcinoma: Emphasis on cell death mechanism crosstalk

Hepatocellular carcinoma (HCC) stands as a formidable global health challenge due to its prevalence, marked by high mortality and morbidity rates. This cancer type exhibits a multifaceted etiology, prominently linked to viral infections, non-alcoholic fatty liver disease, and genomic mutations. The inherent heterogeneity of HCC, coupled with its proclivity for developing drug resistance, presents formidable obstacles to effective therapeutic interventions. Autophagy, a fundamental catabolic process, plays a pivotal role in maintaining cellular homeostasis, responding to stressors such as nutrient deprivation. In the context of HCC, tumor cells exploit autophagy, either augmenting or impeding its activity, thereby influencing tumorigenesis. This comprehensive review underscores the dualistic role of autophagy in HCC, acting as both a pro-survival and pro-death mechanism, impacting the trajectory of tumorigenesis. The anti-carcinogenic potential of autophagy is evident in its ability to enhance apoptosis and ferroptosis in HCC cells. Pertinently, dysregulated autophagy fosters drug resistance in the carcinogenic context. Both genomic and epigenetic factors can regulate autophagy in HCC progression. Recognizing the paramount importance of autophagy in HCC progression, this review introduces pharmacological compounds capable of modulating autophagy-either inducing or inhibiting it, as promising avenues in HCC therapy.

LINC00540 promotes sorafenib resistance and functions as a ceRNA for miR-4677-3p to regulate AKR1C2 in hepatocellular carcinoma

Sorafenib resistance is one of the main causes of poor prognosis in patients with advanced hepatocellular carcinoma (HCC). Long noncoding RNAs (lncRNAs) function as suppressors or oncogenic factors during tumor progression and drug resistance. Here, to identify therapeutic targets for HCC, the biological mechanisms of abnormally expressed lncRNAs were examined in sorafenib-resistant HCC cells. Specifically, we established sorafenib-resistant HCC cell lines (Huh7-S and SMMC7721-S), which displayed an epithelial-mesenchymal transition (EMT) phenotype. Transcriptome sequencing (RNA-Seq) was performed to established differential lncRNA expression profiles for sorafenib-resistant cells. Through this analysis, we identified LINC00540 as significantly up-regulated in sorafenib-resistant cells and a candidate lncRNA for further mechanistic investigation. Functionally, LINC00540 knockdown promoted sorafenib sensitivity and suppressed migration, invasion, EMT and the activation of PI3K/AKT signaling pathway in sorafenib-resistant HCC cells, whereas overexpression of LINC00540 resulted in the opposite effects in parental cells. LINC00540 functions as a competing endogenous RNA (ceRNA) by competitively binding to miR-4677-3p , thereby promoting AKR1C2 expression. This is the first study that demonstrates a role for LINC00540 in enhancing sorafenib resistance, migration and invasion of HCC cells through the LINC00540/miR-4677-3p/AKR1C2 axis, suggesting that LINC00540 may represent a potential therapeutic target and prognosis biomarker for HCC.

EnsembleDL-ATG: Identifying autophagy proteins by integrating their sequence and evolutionary information using an ensemble deep learning framework

Autophagy is a primary mechanism for maintaining cellular homeostasis. The synergistic actions of autophagy-related (ATG) proteins strictly regulate the whole autophagic process. Therefore, accurate identification of ATGs is a first and critical step to reveal the molecular mechanism underlying the regulation of autophagy. Current computational methods can predict ATGs from primary protein sequences, but owing to the limitations of algorithms, significant room for improvement still exists. In this research, we propose EnsembleDL-ATG, an ensemble deep learning framework that aggregates multiple deep learning models to predict ATGs from protein sequence and evolutionary information. We first evaluated the performance of individual networks for various feature descriptors to identify the most promising models. Then, we explored all possible combinations of independent models to select the most effective ensemble architecture. The final framework was built and maintained by an organization of four different deep learning models. Experimental results show that our proposed method achieves a prediction accuracy of 94.5 % and MCC of 0.890, which are nearly 4 % and 0.08 higher than ATGPred-FL, respectively. Overall, EnsembleDL-ATG is the first ATG machine learning predictor based on ensemble deep learning. The benchmark data and code utilized in this study can be accessed for free at https://github.com/jingry/autoBioSeqpy/tree/2.0/examples/EnsembleDL-ATG.