Extracellular vesicles hybrid plasmid-loaded lipid nanovesicles for synergistic cancer immunotherapy.

Combination immunotherapy of cancer vaccines with immune checkpoint inhibitors (ICIs) represents a promising therapeutic strategy for immunosuppressed and cold tumors. However, this strategy still faces challenges, including the limited therapeutic efficacy of cancer vaccines and immune-related adverse events associated with systematic delivery of ICIs. Herein, we demonstrate the antitumor immune response induced by outer membrane vesicle from Akkermansia muciniphila (Akk-OMV), which exhibites a favorable safety profile, highlighting the potential application as a natural and biocompatible self-adjuvanting vesicle. Utilizing tumor cell-derived exosome as an antigen source and Akk-OMV as a natural adjuvant, we construct a cancer vaccine formulation of extracellular vesicles hybrid lipid nanovesicles (Lipo@HEV) for enhanced prophylactic and therapeutic vaccination by promoting dendritic cell (DC) maturation in lymph node and activating cytotoxic T cell (CTL) response. The Lipo@HEV is further loaded with plasmid to enable gene therapy-mediated PD-L1 blockade upon peritumoral injection. Meanwhile, it penetrates into lymph node to initiate DC maturation and CTL activation, synergistically inhibiting the established tumor. The fabrication of extracellular vesicles hybrid plasmid-loaded lipid nanovesicles reveals a promising gene therapy-guided and vesicle-based hybrid system for therapeutic cancer vaccination and synergistic immunotherapy strategy.

Identification of cervical cancer stem cells using single-cell transcriptomes of normal cervix, cervical premalignant lesions, and cervical cancer.

BACKGROUND: Cervical cancer is the fourth leading cause of mortality among gynecological malignancies. However, the identification of cervical cancer stem cells remains unclear. METHODS: We performed single-cell mRNA sequencing on ∼122,400 cells from 20 cervical biopsies, including 5 healthy controls, 4 high-grade intraepithelial neoplasias, 5 microinvasive carcinomas of the cervix, and 6 invasive cervical squamous carcinomas. Bioinformatic results were validated by multiplex immunohistochemistry (mIHC) in cervical cancer tissue microarrays (TMA) (n = 85). FINDINGS: We identified cervical cancer stem cells and highlighted the functional changes in cervical stem cells during malignant transformation. The original non-malignant stem cell properties (characterized by high proliferation) gradually diminished, whereas the tumor stem cell properties (characterized by epithelial-mesenchymal transformation and invasion) were enhanced. The mIHC results of our TMA cohort confirmed the existence of stem-like cells and indicated that cluster correlated with neoplastic recurrence. Subsequently, we investigated malignant and immune cell heterogeneity in the cervical multicellular ecosystem across different disease stages. We observed global upregulation of interferon responses in the cervical microenvironment during lesion progression. INTERPRETATION: Our results provide more insights into cervical premalignant and malignant lesion microenvironments. FUNDING: This research was supported by the Guangdong Provincial Natural Science Foundation of China (2023A1515010382), Grant 2021YFC2700603 from the National Key Research & Development Program of China and the Hubei Provincial Natural Science Foundation of China (2022CFB174 and 2022CFB893).

Efficacy of immune checkpoint inhibitor monotherapy or combined with other small molecule-targeted agents in ovarian cancer.

Ovarian cancer is the most lethal female reproductive system tumour. Despite the great advances in surgery and systemic chemotherapy over the past two decades, almost all patients in stages III and IV relapse and develop resistance to chemotherapy after first-line treatment. Ovarian cancer has an extraordinarily complex immunosuppressive tumour microenvironment in which immune checkpoints negatively regulate T cells activation and weaken antitumour immune responses by delivering immunosuppressive signals. Therefore, inhibition of immune checkpoints can break down the state of immunosuppression. Indeed, Immune checkpoint inhibitors (ICIs) have revolutionised the therapeutic landscape of many solid tumours. However, ICIs have yielded modest benefits in ovarian cancer. Therefore, a more comprehensive understanding of the mechanistic basis of the immune checkpoints is needed to improve the efficacy of ICIs in ovarian cancer. In this review, we systematically introduce the mechanisms and expression of immune checkpoints in ovarian cancer. Moreover, this review summarises recent updates regarding ICI monotherapy or combined with other small-molecule-targeted agents in ovarian cancer.

PD-1/PD-L1 Inhibitors Monotherapy for the Treatment of Endometrial Cancer: Meta-Analysis and Systematic Review.

PURPOSE: The efficacy of programmed cell death protein 1(PD-1)/Programmed cell death 1 ligand 1 (PD-L1) inhibitors for endometrial cancer remain controversial, and guidelines are inconsistent on which are preferred therapies for advanced disease, or who develop metastases and recurrence. Therefore, we aimed to estimate the efficacy and safety of PD-1/PD-L1 inhibitors in endometrial cancer on a more complete database by adding multiple randomized trials. METHODS: A systematic and comprehensive search was carried out in PD-1/PD-L1 inhibitors monotherapy. RESULTS: The ORR of PD-1/PDL-1 inhibitors was 29%, and subgroup analysis showed that the pooled ORR of the proficient mismatch repair (pMMR) group was 4% and which was 45% of the deficient mismatch repair (dMMR) group. The DCR of PD-1/PD-L1 inhibitors was 48%, through subgroup analysis, we found that the DCR of the pMMR group was 21% and which was 58% of the dMMR group. The proportion of patients occurring overall adverse events was 65% and grade three or higher adverse events was 14%. The proficient mismatch repair (pMMR) group and the deficient mismatch repair (dMMR) group showed different results. CONCLUSION: PD-1/PD-L1 inhibitors had shown little success in the pMMR population and better efficacy in the dMMR population.