Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • 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
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Improving immunotherapy responses by dual inhibition of macrophage migration inhibitory factor and PD-1
Thuy T. Tran, Gabriela Athziri Sánchez-Zuno, Lais Osmani, Jasmine Caulfield, Caroline Naomi Valdez, Marta Piecychna, Lin Leng, Michelle E. Armstrong, Seamas C. Donnelly, Carlo B. Bifulco, Terri Clister, Rajan P. Kulkarni, Lin Zhang, Mario Sznol, Lucia Jilaveanu, Harriet M. Kluger, Insoo Kang, Richard Bucala
Thuy T. Tran, Gabriela Athziri Sánchez-Zuno, Lais Osmani, Jasmine Caulfield, Caroline Naomi Valdez, Marta Piecychna, Lin Leng, Michelle E. Armstrong, Seamas C. Donnelly, Carlo B. Bifulco, Terri Clister, Rajan P. Kulkarni, Lin Zhang, Mario Sznol, Lucia Jilaveanu, Harriet M. Kluger, Insoo Kang, Richard Bucala
View: Text | PDF
Research Article Immunology Oncology

Improving immunotherapy responses by dual inhibition of macrophage migration inhibitory factor and PD-1

  • Text
  • PDF
Abstract

Macrophage migration inhibitory factor (MIF) is an upstream regulatory cytokine that is associated with advanced disease and poor outcomes in multiple cancer types, including melanoma. We investigated whether anti-MIF therapy could enhance the antitumor effects of the immune checkpoint inhibitor anti–programmed cell death 1 (anti–PD-1) in 2 murine tumor models. The therapeutic efficacy of anti-MIF, alone or combined with anti–PD-1, was tested in the YUMMER1.7 melanoma and MC38 colorectal cancer models. Tumor growth and survival were assessed in untreated Mif-knockout (KO) and low-expression human MIF allele (CATT5) mice and compared with wild-type (WT) or high-expression MIF allele (CATT7) mice. Tumor-bearing animals underwent cytokine profiling, tumor immunohistochemistry, flow cytometry, and scRNA-Seq. We also correlated functional variant MIF alleles with melanoma incidence and progression in patients. Our results showed that combined anti-MIF and anti–PD-1 significantly reduced tumor growth, improved survival, and promoted tumor regression, accompanied by enhanced TH1 cytokine levels, increased macrophage activation–related cytokines, and increased type 1 conventional dendritic cells. scRNA-Seq analysis revealed an expansion of intratumor Cd74/C1q/Aif1-expressing macrophages, which exhibited an antitumor phenotype, in response to anti-MIF therapy. MIF-KO and CATT5 mice exhibited reduced tumor burdens compared with WT or CATT7 mice alone and in the presence of anti–PD-1. In patients with melanoma, the high-MIF expression genotype (-173C/C) occurred at higher frequencies compared with healthy controls. These findings highlight that the addition of anti-MIF to anti–PD-1 reduces tumor growth, enhances antitumor responses, prolongs survival, and augments key intratumor immune cell populations involved in immune activation against tumors. This approach merits further consideration for clinical trial development.

Authors

Thuy T. Tran, Gabriela Athziri Sánchez-Zuno, Lais Osmani, Jasmine Caulfield, Caroline Naomi Valdez, Marta Piecychna, Lin Leng, Michelle E. Armstrong, Seamas C. Donnelly, Carlo B. Bifulco, Terri Clister, Rajan P. Kulkarni, Lin Zhang, Mario Sznol, Lucia Jilaveanu, Harriet M. Kluger, Insoo Kang, Richard Bucala

×

Usage data is cumulative from October 2025 through May 2026.

Usage JCI PMC
Text version 3,550 366
PDF 538 127
Figure 1,117 0
Table 65 0
Supplemental data 282 8
Citation downloads 141 0
Totals 5,693 501
Total Views 6,194

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

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

Sign up for email alerts