ReviewGenes & genomics2026
Tumor microenvironment-driven drug resistance in urologic cancers: mechanisms and therapeutic targets.
Review in Genes & genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- Decoding the metabolic‑immune crosstalk: The role of glutamine and ammonium reprogramming in prostate cancer immune evasion (Review).Oncology reports · 2026Review
- An engineered bacteria-chitosan hybrid robot for lactate depletion and synergistic STING activation to potentiate bladder cancer immunotherapy.Materials today. Bio · 2026Article
- Pathological Pathways of Olfactory Neuroblastoma: From Molecular Mechanisms to Targeted Therapy: A Narrative Review.Cancers · 2026Review
- Patient-derived organoids (PDOs): a novel preclinical platform to overcome challenges in cancer immunotherapy.Frontiers in cell and developmental biology · 2026Review
- From immune desert to hot tumor: the tripartite synergy of tumor microenvironment-exosomes-immunogenic cell death in pioneering solutions.Frontiers in immunology · 2026Review
- Immune-excluded and immune-suppressive tumor microenvironments: mechanisms, spatial biomarkers, and therapeutic rewiring.Frontiers in oncology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Therapeutic resistance remains a major challenge in the management of urologic cancers, including renal cell carcinoma (RCC), bladder cancer (BC), and prostate cancer (PCa). Recent advances highlight the tumor microenvironment (TME) as a critical determinant of treatment failure across various modalities, such as androgen deprivation therapy (ADT), VEGF-targeted therapies, and immune checkpoint inhibitors (ICIs). This review summarizes how distinct TME components-such as cancer-associated fibroblasts (CAFs), extracellular matrix (ECM), immunosuppressive cells, and hypoxic conditions-promote resistance. CAFs drive oncogenic reactivation and epithelial-mesenchymal transition (EMT), while ECM stiffening hinders immune infiltration and facilitates pro-survival signaling. Immune evasion mechanisms include TGF-β-mediated T cell exclusion, regulatory T cell expansion, and adaptive checkpoint upregulation. Hypoxia and metabolic reprogramming further promote cancer stemness and immune suppression through HIF-2α activation, lactate accumulation, and acidification of TME. Targeting these resistance mechanisms requires a multifaceted approach. Promising strategies include ICI combination therapies with anti-angiogenics or TGF-β inhibitors, ECM-modulating agents, and hypoxia-targeted drugs. Novel approaches such as single-cell and spatial transcriptomics, organoid co-culture systems, and TME-derived biomarkers offer new opportunities for patient stratification and therapeutic development. Integrating TME biology into clinical practice is essential to overcome resistance and improve outcomes in urologic oncology.
Indexed as
Identifiers
41296173What OpenQuestion 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 OpenQuestion graph.