Cited by 146Cancer Immunotherapy and BiomarkersImmunotherapy and Immune ResponsesT-cell and B-cell Immunology

Overcoming Genetically Based Resistance Mechanisms to PD-1 Blockade

Open access
Torrejon, Davis Y., Abril-Rodriguez, Gabriel, Champhekar, Ameya S., Tsoi, Jennifer, Campbell, Katie M., Kalbasi, Anusha, Parisi, Giulia, Zaretsky, Jesse M. +13 more·2020·Cancer Discovery

Published version of a preprint

Abstract

Mechanism-based strategies to overcome resistance to PD-1 blockade therapy are urgently needed. We developed genetic acquired resistant models of JAK1, JAK2, and B2M loss-of-function mutations by gene knockout in human and murine cell lines. Human melanoma cell lines with JAK1/2 knockout became insensitive to IFN-induced antitumor effects, while B2M knockout was no longer recognized by antigen-specific T cells and hence was resistant to cytotoxicity. All of these mutations led to resistance to anti–PD-1 therapy in vivo. JAK1/2-knockout resistance could be overcome with the activation of innate and adaptive immunity by intratumoral Toll-like receptor 9 agonist administration together with anti–PD-1, mediated by natural killer (NK) and CD8 T cells. B2M-knockout resistance could be overcome by NK-cell and CD4 T-cell activation using the CD122 preferential IL2 agonist bempegaldesleukin. Therefore, mechanistically designed combination therapies can overcome genetic resistance to PD-1 blockade therapy. Significance: The activation of IFN signaling through pattern recognition receptors and the stimulation of NK cells overcome genetic mechanisms of resistance to PD-1 blockade therapy mediated through deficient IFN receptor and antigen presentation pathways. These approaches are being tested in the clinic to improve the antitumor activity of PD-1 blockade therapy. This article is highlighted in the In This Issue feature, p. 1079

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1158/2159-8290.cd-19-1409

Cites

75 of 75 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • JAK1/2-inactivating mutations reduce PD-L1 and MHC I expression in mouse and human CRC.

    “JAK1/2-inactivating mutations reduce programmed death ligand 1 (PD-L1) and MHC I expression in mouse and human CRC [33,210].”
  • Inactivation mutations of JAK1 and JAK2 block the IFN-γ signaling pathway, leading to downregulation of tumor PD-L1 expression, so anti-PD-L1 therapy would be unnecessary in this case.

    “This implies that the inactivation mutations of JAK1 and JAK2 block the IFN-γ signaling pathway, leading to downregulation of tumor PD-L1 expression, so it would be unnecessary to attempt anti-PD-L1 therapy in this case.”

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Torrejon, D. Y., Abril-Rodriguez, G., Champhekar, A. S., Tsoi, J., Campbell, K. M., Kalbasi, A., Parisi, G., Zaretsky, J. M., Garcia-Diaz, A., Puig-Saus, C., Cheung-Lau, G., Wohlwender, T., Krystofinski, P., Vega-Crespo, A., Lee, C. M., Mascaro, P., Grasso, C. S., Berent-Maoz, B., Comin-Anduix, B., Hu-Lieskovan, S., & Ribas, A.
Affiliations
  • University of California, Los Angeles (US)
  • 1Division of Hematology-Oncology, Department of Medicine, University of California, Los Angeles, Los Angeles, California.
  • 4Division of Surgical Oncology, Department of Surgery, University of California, Los Angeles, Los Angeles, California.
Corresponding author
Ribas, Antoni
Venue
Cancer Discovery
Published
2020-08-01
Volume
10
Issue
8
Pages
1140-1157
ISSN
  • 2159-8274 (ISSN-L)
  • 2159-8290
OpenAlex
W3030418407
Cited by
146
References
75
Citations by year
2026: 18 · 2025: 16 · 2024: 26 · 2023: 31 · 2022: 26 · 2021: 25 · 2020: 4
FWCI
7.77
Type
journal article
Language
en
Open access
Locations
  • Cancer Discovery (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • NIH (R35 CA197633, P01 CA244118, #T32-CA009120, GM08042, P30 CA016042, 5P30 AI028697)
  • UCLA (T32CA009120)
Topics
  • Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
  • Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
  • Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
Keywords
anti-PD-1 therapy, immune checkpoint inhibitor resistance, B2M knockout, interferon signaling, melanoma, Toll-like receptor 9 agonist, natural killer cells, CD8+ T cells, CD4+ T cells, interleukin-2, combination immunotherapy, gene knockout models
MeSH terms
Loss of Function Mutation, Animals, beta 2-Microglobulin, Humans, Interferons, Interleukin-2, Killer Cells, Natural, Mice, Inbred C57BL, Neoplasms, Polyethylene Glycols, CD4-Positive T-Lymphocytes, CD8-Positive T-Lymphocytes, Drug Resistance, Neoplasm, Cell Line, Tumor, Cell Proliferation, Toll-Like Receptor 9, Janus Kinase 1, Janus Kinase 2, Programmed Cell Death 1 Receptor

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review