PD-L1 in circulating exosomes of Merkel cell carcinoma

Correlation between exosomal PD-L1 and prognosis in patients with cancer: a systematic review and meta-analysis

BACKGROUND

The predictive role of exosomal programmed cell death ligand l (exoPD-L1) in prognosis has been studied extensively; however, there is still no consensus.

METHODS

Three databases, including EMBASE, PubMed, and Web of Science, were searched through January 4, 2024. The pooled hazard ratios (HRs) with 95% confidence intervals (95%CIs) were used to identify the relationship between circulating exoPD-L1 and prognosis.

RESULTS

15 studies with 1091 patients with cancer were included in this statistical analysis. High exoPD-L1 level was correlated with shorter progression-free survival (PFS) (HR = 2.58, 95% CI: 1.75-3.81) and overall survival (OS) (HR = 1.61, 95% CI: 1.32-1.98). Meanwhile, we found that dynamic upregulation of circulating exoPD-L1 in the early stages of immunotherapy was a favorable factor for prognosis (PFS: HR = 0.34, 95% CI: 0.23-0.51; OS: HR = 0.21, 95% CI: 0.13-0.26).

CONCLUSION

Circulating exoPD-L1 may be a valuable prognostic indicator for patients with cancer and monitoring its changes in the early stages of immunotherapy might be used to predict tumor response and clinical outcome. This conclusion may not apply to superficial tumors.

PD-1/PD-L1 inhibitors plus carboplatin and paclitaxel compared with carboplatin and paclitaxel in primary advanced or recurrent endometrial cancer: a systematic review and meta-analysis of randomized clinical trials

BACKGROUND

Paclitaxel and carboplatin is the standard chemotherapy for the treatment of advanced or recurrent endometrial cancer. However, the benefit of adding programmed cell death 1 (PD-1)/programmed death ligand 1 (PD-L1) inhibitors to chemotherapy is still unclear.

METHOD

We searched PubMed, Scopus, Cochrane, and Web of Science databases for randomized controlled trials that investigated PD-1/PD-L1 inhibitors plus carboplatin and paclitaxel compared with carboplatin and paclitaxel in primary advanced or recurrent endometrial cancer. We computed hazard ratios (HRs) or risk ratios (RRs) for binary endpoints, with 95% confidence intervals (CIs). We used DerSimonian and Laird random-effect models for all endpoints. Heterogeneity was assessed using I2 statistics. R, version 4.2.3, was used for statistical analyses.

RESULTS

A total of three studies and 1,431 patients were included. Compared with carboplatin plus paclitaxel-based chemotherapy, progression-free survival (PFS) rate (HR 0.32; 95% CI 0.23-0.44; p < 0.001) and overall survival (OS) at 30 months (RR 3.13; 95% CI 1.26-7.78; p = 0.01) were significant in favor of the PD-1/PD-L1 inhibitors plus carboplatin and paclitaxel group in the mismatch repair-deficient subgroup. However, there were no significant differences in the mismatch repair-proficient subgroup for PFS (HR 0.74; 95% CI 0.50-1.08; p = 0.117) or OS at 30 months (RR 2.24; 95% CI 0.79-6.39; p = 0.13).

CONCLUSION

Immunotherapy plus carboplatin-paclitaxel increased significantly PFS and OS among patients with advanced or recurrent endometrial cancer, with a significant benefit in the mismatch repair-deficient and high microsatellite instability population.

Localized Imaging of Programmed Death-Ligand 1 on Individual Tumor-Derived Extracellular Vesicles for Prediction of Immunotherapy Response

Programmed death-ligand 1 (PD-L1) on tumor-derived small extracellular vesicles (EVs) is a biomarker for prediction of the immunotherapy response. However, conventional bulk measurement can hardly analyze the expression of PD-L1 on individual tumor-derived EVs. Herein, a method for localized imaging of tumor-derived individual EVs PD-L1 (LITIE) is developed. In this assay, EVs in plasma were directly captured on a biochip. Then the liposome-mediated membrane fusion strategy was used to image miR-21 in EVs to discriminate miR-21-positive EVs from the whole EVs populations. Subsequently, the primer exchange reaction (PER) is applied to generate localized and amplified fluorescent signals for imaging PD-L1 on identified tumor-derived EVs. When applied in clinical sample tests, the LITIE assay could effectively distinguish breast cancer patients from healthy donors or patients with benign tumors. Interestingly, in a mice melanoma model, the LITIE assay showed the ability to predict immunotherapy response even before drug treatment. Thus, we think the strategy of measuring individual tumor-derived EVs PD-L1 could serve as an alternative way for screening clinical responders suitable for immunotherapy.

Highly Effective Detection of Exosomal miRNAs in Plasma Using Liposome-Mediated Transfection CRISPR/Cas13a

Exosomal miRNAs play a critical role in cancer biology and could be potential biomarkers for cancer diagnosis. However, due to the low abundance of miRNAs in the exosomes, recognizing and detecting disease-associated exosomal miRNAs in an easy-to-operate way remain a challenge. Herein, we used a liposome-mediated membrane fusion strategy (MFS) to transfect CRISPR/Cas13a into exosomes, termed MFS-CRISPR, directly measuring exosomal miRNAs in plasma. Using the MFS-CRISPR platform for detection of the exosomal miR-21, we achieve a linear range spanning four orders of magnitude (10⁴-10⁸ particles/mL) and the method is able to detect the exosomal miR-21 in as low as 1.2 × 10³ particles/mL. The liposome-mediated MFS could confine fluorescent signals in fused vesicles, which can be used for exosome heterogeneity analysis. Moreover, MFS-CRISPR assay was evaluated by measuring clinical samples, and the difference of miR-21 expression of breast cancer patients and healthy donors was significant. Because of high sensitivity and simplicity, the proposed method could have promising clinical potential for cancer diagnosis and treatment monitoring.

Molecular Docking and Intracellular Translocation of Extracellular Vesicles for Efficient Drug Delivery

Extracellular vesicles (EVs), including exosomes, mediate intercellular communication by delivering their contents, such as nucleic acids, proteins, and lipids, to distant target cells. EVs play a role in the progression of several diseases. In particular, programmed death-ligand 1 (PD-L1) levels in exosomes are associated with cancer progression. Furthermore, exosomes are being used for new drug-delivery systems by modifying their membrane peptides to promote their intracellular transduction via micropinocytosis. In this review, we aim to show that an efficient drug-delivery system and a useful therapeutic strategy can be established by controlling the molecular docking and intracellular translocation of exosomes. We summarise the mechanisms of molecular docking of exosomes, the biological effects of exosomes transmitted into target cells, and the current state of exosomes as drug delivery systems.

Extracellular vesicle-based checkpoint regulation and immune state in cancer

Tumor cells exploit several mechanisms for hijacking an immunosuppressive tumor ecosystem in order to evade immune surveillance and to progress toward metastasis. Equipment of extracellular vesicles (EVs) with checkpoints is an example of cancer control over anti-tumor responses from immune system. Programmed death-ligand 1 (PD-L1) is a checkpoint highly expressed in a tumor at progressive stage. Interactions between PD-L1 with its receptor programmed death-1 receptor (PD-1) expressed on T cells will block the effector function of CD8⁺ T cells, known as one of the most important defensive cells against cancer. Evaluation of circulatory exosomal PD-L1 can be a prognostic biomarker in tumor diagnosis and responses to the immune checkpoint inhibitor (ICI) therapy, and can be considered as a tool in clinical practice for exploiting personalized therapy. Cytotoxic T lymphocyte-associated antigen-4 (CTLA-4) is also a checkpoint that its engagement with CD80/CD86 expressed on antigen-presenting cells (APCs), such as dendritic cells (DCs) hamper the priming phase of CD4⁺ and CD8⁺ T cells. Harvesting EVs from tumor and their modification with desired anti-checkpoint antibodies can be a promising strategy in cancer immunotherapy. The aim of this review is to discuss about EV roles in checkpoint regulation, cancer diagnosis and ICI responses, and to survey possible application of such vesicles in cancer immunotherapy.

Identifying Candidates for Immunotherapy among Patients with Non-Melanoma Skin Cancer: A Review of the Potential Predictors of Response

BACKGROUND

Non-melanoma skin cancer (NMSC) stands as an umbrella term for common cutaneous malignancies, including basal cell carcinoma (BCC) and cutaneous squamous cell carcinoma (cSCC), together with rarer cutaneous cancers, such as Merkel cell carcinoma (MCC) and other forms of adnexal cancers. The majority of NMSCs can be successfully treated with surgery or radiotherapy, but advanced and metastatic stages may require systemic approaches such as immunotherapy with immune checkpoint inhibitors (ICIs).

SUMMARY

Since immunotherapy is not effective in all patients and can potentially lead to severe adverse effects, an important clinical question is how to properly identify those who could be suitable candidates for this therapeutic choice. In this paper, we review the potential features and biomarkers used to predict the outcome of ICIs therapy for NMSCs. Moreover, we analyze the role of immunotherapy in special populations, such as the elderly, immunocompromised patients, organ transplant recipients, and subjects suffering from autoimmune conditions.

KEY MESSAGES

Many clinical, serum, histopathological, and genetic features have been investigated as potential predictors of response in NMSCs treated with ICIs. Although this field of research is very promising, definitive, cost-effective, and reproducible biomarkers are still lacking and further efforts are needed to validate the suggested predictors in larger cohorts.