ReviewDiscover oncology2025
From cold to hot tumors: feasibility of applying therapeutic insights to TNBC.
Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed.
- Advancements in Immune Checkpoint-Based Immunotherapy for Triple-Negative Breast Cancer.Current issues in molecular biology · 2026Review
- Therapeutic targeting of RAGE/STAT3 signaling abrogates S100A7-driven breast tumorigenicity and immune suppression.Breast cancer research : BCR · 2026Article
- Emerging Protein Targets in Triple-Negative Breast Cancer: Beyond Conventional Therapy.Cancers · 2026Review
- Review
- Immunotherapy innovations in triple-negative breast cancer: targeting checkpoints, combinations, and biomarkers.Oncology reviews · 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Triple-negative breast cancer (TNBC) is an aggressive subtype of breast cancer that is characterized by the absence of estrogen receptors (ERs), progesterone receptors (PRs), and human epidermal growth factor receptor 2 (HER2). Due to its immunosuppressive tumour microenvironment (TME) and low immune cell infiltration, TNBC typically exhibits poor responsiveness to immunotherapy. Recent relevant research has focused on using strategies to convert cold tumors into hot tumors to increase tumor immunogenicity and improve treatment efficacy. This review aims to summarize the biological characteristics of both cold and hot tumors and explore the mechanisms underlying the transformation from cold to hot tumors. Key strategies include modulation of the TME, enhancement of immune cell infiltration, and regulation of the inflammatory responses. Additionally, the roles of immune checkpoint inhibitors (ICIs), cytokine therapy, chimeric antigen receptor T-cell (CAR-T) therapy, and cancer vaccines in reprogramming the TME are discussed. Further, the emerging combination strategies, such as the integration of ICIs with chemotherapy, radiotherapy, and targeted therapies, have been evaluated for their potential to increase TNBC immunogenicity. Current preclinical and clinical evidence suggests that reprogramming the TME through targeted interventions significantly increases immune cell infiltration and antigen presentation, thereby improving the immunotherapy efficacy in TNBC. The combinations of ICIs with chemotherapy and radiotherapy have shown promise in shifting the TME toward an immunoresponsive state. Moreover, advances in the CAR-T-cell therapy, cytokine therapy, and cancer vaccines have offered novel approaches for overcoming immune resistance in TNBC. In conclusion, transforming cold tumors into hot tumors represents a promising therapeutic strategy for TNBC. Future research should focus on optimizing the treatment combinations, refining therapeutic timing and dosage, and integrating precision medicine approaches to achieve maximized clinical benefits. A deeper understanding of TME modulation and immune resistance mechanisms would facilitate the development of novel immunotherapeutic strategies to improve the survival outcomes and quality of life in TNBC patients.
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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.