ReviewInternational journal of nanomedicine2026
Nanoplatform-Mediated Remodeling of the Immune Microenvironment in Renal Cell Carcinoma.
Review in International journal of nanomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Renal cell carcinoma (RCC) is a highly immunogenic malignancy, and immune checkpoint inhibitor-based regimens have substantially improved clinical outcomes. However, primary resistance, acquired resistance, interpatient heterogeneity, and treatment-related systemic toxicity continue to limit therapeutic efficacy. Immune evasion in RCC can be summarized into three interconnected levels: defective immune priming and checkpoint-mediated immunosuppression; vascular-metabolic barriers that impede immune-cell infiltration and effector function; and a suppressive immune microenvironment shaped by myeloid cells, regulatory lymphocytes, cytokines, and extracellular vesicles. Together, these barriers impair effector-cell function and promote T-cell exhaustion. Nanodelivery platforms provide new opportunities to overcome these multistage immunosuppressive constraints through programmable payload loading, spatiotemporally controlled local delivery, and material-enabled modulation of the tumor microenvironment. Based on this multilevel immune-evasion framework, this review organizes current evidence and systematically discusses representative intervention strategies, including restoration of antigen presentation and innate immune sensing, maintenance of effector-cell activation, remodeling of the vascular-metabolic microenvironment, and reprogramming of suppressive immune networks. We further compare the advantages and limitations of lipid-based, polymeric, and inorganic nanoplatforms in terms of payload compatibility, release control, intrinsic physicochemical activity, biosafety, manufacturability, and clinical translatability, and emphasize that therapeutic components should achieve mechanistically grounded synergy rather than simple combination. Although current studies have demonstrated therapeutic potential, RCC nano-immunotherapy remains largely at the preclinical stage and is constrained by limited model translatability, heterogeneous tumor delivery, uncertain long-term safety, manufacturing complexity, and the lack of standardized evaluation criteria. Future efforts should prioritize structurally simplified, mechanistically defined, tumor-microenvironment-responsive platforms, together with biomarker-guided patient stratification and standardized evaluation systems, to facilitate the translation of RCC nano-immunotherapy into reproducible treatment strategies with clear clinical benefit.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.