ArticleScientific reports2022
Cancer immunohistogram representing cancer-immunity cycle by immunohistochemistry predicts the efficacy of immune checkpoint inhibitors in urological cancer patients.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Integrated Immune and Molecular Profiling Identifies Prognostic Subgroups and Therapeutic Targets in Chondrosarcoma.International journal of molecular sciences · 2026Article
- Identification of two genes associated with recurrence in Paget's disease and construction of a predictive model.Frontiers in genetics · 2026Article
- Article
- HLA Class I Expression Is Associated with DNA Damage and Immune Cell Infiltration into Dysplastic and Neoplastic Lesions in Ulcerative Colitis.International journal of molecular sciences · 2023Article
- Article
- A Case Report of Aggressive Fumarate Hydrase-deficient Renal Cell Carcinoma With Loss of HLA Antigens.Cancer diagnosis & prognosisArticle
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We developed an immunohistogram representing an individual cancer-immunity cycle based on immunohistochemical analyses. We evaluated its ability to predict the efficacy of immune checkpoint inhibitors (ICI) in 11 patients with urothelial carcinoma and 7 patients with renal cell carcinoma who underwent surgery and received ICIs for disease recurrence. Immunohistochemical analyses for CD8, TIA-1, HLA class I, HLA-DR, and PD-L1 were performed and scored 0-3. T-cell infiltration pattern was classified into desert, excluded, partially inflamed, and inflamed. Tumors with an inflamed or partially inflamed pattern and positive scores (score ≥ 1) for all five immune markers were classified as "immune-hot" and others as "immune-cold." Association between the immunohistogram and ICI treatment efficacy was evaluated with objective response rate, disease control rate (DCR), progression-free survival (PFS), and cancer-specific survival (CSS). Eight (44%) and 10 (56%) patients had immune-hot and immune-cold tumors, respectively. Immune-hot tumors showed a higher DCR (100% vs. 40%, p < 0.01), longer PFS (median unreached for hot, 1.3 months for cold, p < 0.01), and longer CSS (median unreached for hot, 3.3 months for cold, p < 0.01) than immune-cold tumors. The immunohistogram could be clinically useful as an accessible biomarker for precision cancer immunotherapy in urological cancer.
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