
pmid: 31257581
AbstractFoxp3‐expressing regulatory T (Treg) cells, which are indispensable for preventing autoimmunity, also suppress effective tumor immunity. Treg cells abundantly infiltrate into tumor tissues, which is often associated with poor prognosis in cancer patients. Removal of Treg cells enhances anti‐tumor immune responses but may also elicit autoimmunity. A key issue in devising Treg‐targeting cancer immunotherapy is, therefore, how to specifically deplete Treg cells infiltrating into tumor tissues without affecting tumor‐reactive effector T cells, while suppressing autoimmunity. This can be achieved by differentially controlling Treg and effector T cells by various ways. In this review, we discuss how tumor‐infiltrating Foxp3+ Treg cells hamper effective anti‐tumor immune responses especially in tumor tissues and how they can be specifically targeted for augmenting tumor immunity but not autoimmunity.
Autoimmunity, Forkhead Transcription Factors, T-Lymphocytes, Regulatory, Lymphocytes, Tumor-Infiltrating, Neoplasms, Animals, Humans, Immunization, Immunotherapy, T-Lymphocytes, Cytotoxic
Autoimmunity, Forkhead Transcription Factors, T-Lymphocytes, Regulatory, Lymphocytes, Tumor-Infiltrating, Neoplasms, Animals, Humans, Immunization, Immunotherapy, T-Lymphocytes, Cytotoxic
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 414 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 0.1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 0.1% |
