Recent advances in neoantigen research have accelerated the development and regulatory approval of tumor immunotherapies, including cancer vaccines, adoptive cell therapy and antibody-based therapies, especially for solid tumors. Neoantigens are newly formed antigens generated by tumor cells as a result of various tumor-specific alterations, such as genomic mutation, dysregulated RNA splicing, disordered post-translational modification, and integrated viral open reading frames. Neoantigens are recognized as non-self and trigger an immune response that is not subject to central and peripheral tolerance. The quick identification and prediction of tumor-specific neoantigens have been made possible by the advanced development of next-generation sequencing and bioinformatic technologies. Compared to tumor-associated antigens, the highly immunogenic and tumor-specific neoantigens provide emerging targets for personalized cancer immunotherapies, and serve as prospective predictors for tumor survival prognosis and immune checkpoint blockade responses. The development of cancer therapies will be aided by understanding the mechanism underlying neoantigen-induced anti-tumor immune response and by streamlining the process of neoantigen-based immunotherapies. This review provides an overview on the identification and characterization of neoantigens and outlines the clinical applications of prospective immunotherapeutic strategies based on neoantigens. We also explore their current status, inherent challenges, and clinical translation potential.

Pyroptosis, as a novel mode of cell death, has been proven to have impressive antitumor effects. Dying cells undergoing pyroptosis can elicit antitumor immunity by the release of tumor-associated antigens (TAAs) and damage-associated molecular patterns (DAMPs). Accordingly, developing an effective, stable, and controllable nanoplatform that can promote these two side effects is a promising option for cancer therapy. In this study, we designed a carrier-free chemophotodynamic nanoplatform (A-C/NPs) using a co-assembly strategy with cytarabine (Ara-C) and chlorin e6 (Ce6) to induce pyroptosis and a subsequent immune response against breast cancer. Mechanistically, A-C/NPs can trigger GSDMEmediated pyroptosis in a controllable manner through reactive oxygen species (ROS) accumulation, causing immunogenic cell death (ICD), in which dying cells release high-mobility group box 1 (HMGB1), adenosine triphosphate (ATP), and calcitonin (CRT). Additionally, Ara-C can stimulate the maturation of cytotoxic T lymphocytes to act synergistically with Ce6-mediated immunogenic cell death (ICD), collectively augmenting the anticancer effect of A-C/NPs. The A-C/NPs showed excellent suppressive effects on the growth of orthotopic, abscopal, and recurrent tumors in a breast cancer mouse model. The chemo-photodynamic therapy (PDT) using the proposed nanomedicine strategy could be a novel strategy for triggering pyroptosis and improving the global anticancer immune response.

The rising global prevalence of metabolic diseases has increased the prevalence of non-alcoholic fatty liver disease (NAFLD), leading to an increase in cases of NAFLD-related hepatocellular carcinoma (HCC). To provide an updated literature review detailing epidemiology, risk factors, pathogenic pathways, and treatment strategies linked to NAFLD-related HCC, we conducted a literature search on PubMed from its inception to December 31, 2021. About 25% of the global population suffers from NAFLD. The annual incidence of HCC among NAFLD patients is approximately 1.8 per 1,000 person-years. Older age, male sex, metabolic comorbidities, unhealthy lifestyle habits (such as smoking and alcohol consumption), physical inactivity, genetic susceptibility, liver fibrosis, and degree of cirrhosis in NAFLD patients are important risk factors for NAFLD-related HCC. Therefore, low-calorie diet, moderate-intensity exercise, treatment of metabolic comorbidities, and cessation of smoking and alcohol are the main measures to prevent NAFLD-related HCC. In addition, all patients with advanced NAFLD-related fibrosis or cirrhosis should be screened for HCC. Immune suppression disorders and changes in the liver microenvironment may be the main pathogenesis of NAFLD-related HCC. Hepatic resection, liver transplantation, ablation, transarterial chemoembolization, radiotherapy, targeted drugs, and immune checkpoint inhibitors are used to treat NAFLD-related HCC. Lenvatinib treatment may lead to better overall survival, while immune checkpoint inhibitors may lead to worse overall survival. Given the specific risk factors for NAFLD-related HCC, primary prevention is key. Moreover, the same treatment may differ substantially in efficacy against NAFLD-related HCC than against HCC of other etiologies.

Metformin, a well‐known antidiabetic drug, has been repurposed for cancer treatment; however, recently observed drug resistance and tumor metastasis have questioned its further application. Here, we found that long‐term metformin exposure led to metabolic adaptation of hepatocellular carcinoma (HCC) cells, which was characterized by an obvious epithelial–mesenchymal transition (EMT) phenotype and compensatory elevation of oxidative phosphorylation (OXPHOS). TOMM34, a translocase of the outer mitochondrial membrane, was upregulated to promote tumor metastasis in response to metformin‐induced metabolic stress. Mechanistically, TOMM34 interacted with ATP5B to preserve F1FO‐ATPase activity, which conferred mitochondrial OXPHOS and ATP production. This metabolic preference for OXPHOS suggested a large requirement of energy supply by cancer cells to survive and spread in response to therapeutic stress. Notably, disturbing the interaction between TOMM34 and ATP5B using Gboxin, a specific OXPHOS inhibitor, increased sensitivity to metformin and suppressed tumor progression both in vitro and in vivo. Overall, this study demonstrates a molecular link of the TOMM34/ATP5B‐ATP synthesis axis during metformin adaptation and provides promising therapeutic targets for metformin sensitization in cancer treatment.

Background Lung cancer is one of the most frequent causes of cancer-related deaths worldwide. Drug repurposing and nano-drug delivery systems are attracting considerable attention for improving anti-cancer therapy. Sertaconazole (STZ), an antifungal agent, has been reported to exhibit cytotoxicity against both normal and tumor cells, and its medical use is limited by its poor solubility. In order to overcome such shortcomings, we prepared a drug-repurposed nanoplatform to enhance the anti-tumor efficiency. Methods Nanoplatform was prepared by thin film dispersion. Drug release studies and uptake studies were measured in vitro. Subsequently, we verified the tumor inhibition mechanisms of HTS NPs through apoptosis assay, immunoblotting and reactive oxygen species (ROS) detection analyses. Antitumor activity was evaluated on an established xenograft lung cancer model in vivo. Results Our nanoplatform improved the solubility of sertaconazole and increased its accumulation in tumor cells. Mechanistically, HTS NPs was dependent on ROS-mediated apoptosis and pro-apoptotic autophagy to achieve their excellent anti-tumor effects. Furthermore, HTS NPs also showed strong inhibitory ability in nude mouse xenograft models without significant side effects. Conclusions Our results suggest that sertaconazole-repurposed nanoplatform provides an effective strategy for lung cancer treatment.

Background: Throughout the course of non-small cell lung cancer (NSCLC), a lot of patients would develop brain metastasis (BM) associated with the poor prognosis and high rate of mortality. However, there have been few models to predict early death (ED) from NSCLC patients with BM. We aimed to develop nomograms to predict ED in NSCLC patients with BM. Methods:The NSCLC patients with BM between 2010 and 2015 were selected from the Surveillance, Epidemiology, and End Result (SEER) database. Our inclusion criteria were as follows: (I) patients were pathologically diagnosed as NSCLC; (II) patients who suffered from BM. The patients were randomly divided into 2 cohorts at the ratio of 7:3, for training and validation cohorts, respectively. The univariate and multivariate logistic regression methods were managed to identify risk factors for ED in NSCLC patients with BM. Two nomograms were established and validated by calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). The follow-up data included survival months, causes of death, vital status. Death that occurred within 3 months of initial diagnosis is defined as ED and the endpoints were all-cause ED and cancer-specific ED.Results: A total of 4,920 NSCLC patients with BM were included and randomly divided into 2 cohorts (7:3), including the training (n=3,444) and validation (n=1,476) cohorts. The independent prognostic factors for all-cause ED and cancer-specific ED included age, sex, race, tumor size, histology, T stage, N stage, grade, surgical operation, radiotherapy, chemotherapy, bone metastasis, and liver metastasis. All these variables were used to establish the nomograms. In the nomograms of all-cause and cancer-specific ED, the areas under the ROC curves were 0.813 (95% CI: 0.799-0.837) and 0.808 (95% CI: 0.791-0.830) for the training dataset as well as 0.835 (95% CI: 0.805-0.862) and 0.824 (95% CI: 0.790-0.849) for the validation dataset, respectively. Besides, the calibration curves proved that the predicted ED was consistent with the actual value. DCA suggested a good clinical application. Conclusions:The nomograms can be used to predict the specific probability of a patient's death, which aids in treatment decisions and focused care, as well as in physician-patient communication.