Immune cells markers within local tumor microenvironment are associated with EBV oncoprotein in nasopharyngeal cancer

Immunotherapy in the First-Line Treatment of Advanced Nasopharyngeal Carcinoma: A Systematic Review and Meta-Analysis

OBJECTIVES

Data regarding the clinical benefits of immune checkpoint inhibitors (ICIs) are limited in nasopharyngeal carcinoma (NPC). Therefore, we conducted a meta-analysis of phase-III clinical trials to evaluate the benefit of adding ICIs to chemotherapy in the first-line treatment of advanced NPC.

METHODS

We conducted a systematic review using Web of Science, PubMed, and Embase for studies published until September 21, 2022. The meta-analyses were performed with the generic inverse-variance method with a random-effects model. Hazard ratios (HRs) with 95% confidence interval (CI) for progression-free survival (PFS) and overall survival (OS) were the principal summary measures. This protocol was registered in the PROSPERO database (registration number: CRD 42022361866).

RESULTS

Three eligible studies with a total of 815 patients were included. The addition of ICIs to standard chemotherapy significantly improved PFS (HR: 0.52, 95% CI: 0.43-0.63, p < 0.0001). Although the OS results were immature, ICIs significantly reduced the risk of death (HR: 0.63, 95% CI: 0.47-0.84, p = 0.0020). The benefit of ICIs was consistent regardless of initial disease presentation (recurrent or de novo), baseline EBV levels, PD-L1 expression, and ECOG performance status. No significant difference in the rates of serious adverse events (HR = 0.98, 95% CI 0.74-1.30) was found between the two groups.

CONCLUSION

The available evidence demonstrates that adding ICIs to chemotherapy in the first-line treatment of advanced NPC provided better PFS with acceptable safety. However, a longer follow-up is required to evaluate the true OS benefit of these combinations.

LEVEL OF EVIDENCE

NA Laryngoscope, 134:7-17, 2024.

Rapid qPCR-based quantitative immune cell phenotyping in mouse tissues

The immune microenvironment plays an important role in the regulation of diseases. The characterization of the cellular composition of immune cell infiltrates in diseases and respective models is a major task in pathogenesis research and diagnostics. For the assessment of immune cell populations in tissues, fluorescence-activated cell sorting (FACS) or immunohistochemistry (IHC) are the two most common techniques presently applied, but they are cost intensive, laborious, and sometimes limited by the availability of suitable antibodies. Complementary rapid qPCR-based approaches exist for the human situation but are lacking for experimental mouse models. Accordingly, we developed a robust, rapid RT-qPCR-based approach to determine and quantify the abundance of prominent immune cell populations such as T cells, helper T (Th) cells, cytotoxic T cells, Th1 cells, B cells, and macrophages in mouse tissues. The results were independently validated by the gold standards IHC and FACS in corresponding tissues and showed high concordance.