Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Journal stats
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
Pharmacological induction of MHC-I expression in tumor cells revitalizes T cell antitumor immunity
Qian Yu, Yu Dong, Xiaobo Wang, Chenxuan Su, Runkai Zhang, Wei Xu, Shuai Jiang, Yongjun Dang, Wei Jiang
Qian Yu, Yu Dong, Xiaobo Wang, Chenxuan Su, Runkai Zhang, Wei Xu, Shuai Jiang, Yongjun Dang, Wei Jiang
View: Text | PDF
Research Article Oncology

Pharmacological induction of MHC-I expression in tumor cells revitalizes T cell antitumor immunity

  • Text
  • PDF
Abstract

Antigen presentation by major histocompatibility complex class I (MHC-I) is crucial for T cell–mediated killing, and aberrant surface MHC-I expression is tightly associated with immune evasion. To address MHC-I downregulation, we conducted a high-throughput flow cytometry screen, identifying bleomycin (BLM) as a potent inducer of cell surface MHC-I expression. BLM-induced MHC-I augmentation rendered tumor cells more susceptible to T cells in coculture assays and enhanced antitumor responses in an adoptive cellular transfer mouse model. Mechanistically, BLM remodeled the tumor immune microenvironment, inducing MHC-I expression in a manner dependent on ataxia-telangiectasia mutated/ataxia telangiectasia and Rad3-related–NF-κB. Furthermore, BLM improved T cell–dependent immunotherapeutic approaches, including bispecific antibody therapy, immune checkpoint therapy, and autologous tumor-infiltrating lymphocyte therapy. Importantly, low-dose BLM treatment in mouse models amplified the antitumor effect of immunotherapy without detectable pulmonary toxicity. In summary, our findings repurpose BLM as a potential inducer of MHC-I, enhancing its expression to improve the efficacy of T cell–based immunotherapy.

Authors

Qian Yu, Yu Dong, Xiaobo Wang, Chenxuan Su, Runkai Zhang, Wei Xu, Shuai Jiang, Yongjun Dang, Wei Jiang

×

Figure 6

DNA methyltransferase inhibition promotes BLM-induced antitumor immune responses.

Options: View larger image (or click on image) Download as PowerPoint
DNA methyltransferase inhibition promotes BLM-induced antitumor immune r...
(A) Top panel: Growth inhibition as detected by cell viability of SK-BR-3 cells treated with mock/100 nM decitabine (DAC) for 5 days and BLM for 2 days. Bottom panel: Combination index (CI) plots. (B) B16OVA cells pretreated with 100 nM DAC for 5 days were trypsinized and plated in 12-well plates with equal numbers of viable cells. Cells were then treated with BLM (0.5 μM) for 1 day prior to coculture with OT-I T cells. The first lane displays the crystal violet staining images (scale bars, 400 μm). The second lane presents the representative images of cancer cells’ apoptosis after coculture with OT-I T cells. (C) Quantification of the percentages of early and late apoptotic cells among cancer cells from B; n = 3 per group. (D–F) Treatment of B16F10 tumors with DNA methyltransferase inhibitor (DAC) or vehicle control in combination with BLM or vehicle control; n = 6 per group. Mouse weight (D), tumor volume (E) and tumor weight (F); n = 6 per group. Data are shown as mean ± SD. *P < 0.05, ***P < 0.001, compared with the vehicle group by 1-way ANOVA (E and F) and unpaired t test (C); #P < 0.05, ##P < 0.01, and ###P < 0.001 between the indicated groups by unpaired t test (E and F).

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts