Evidence map›Paper›PMID 41787604›Full record

ArticleOncoimmunology2026

PD-1 genetic fate mapping uncovers immune cell diversity mediating the efficacy of combined PD-1 blockade and chemotherapy.

Ayuko Yamaguchi, Haruka Suzuki, Shunsuke Takasuga, Megumi Tatematsu, Akane Fuchimukai, Tentaro Endo, Haruka Kaya, Aoi Morishita, Shinsuke Seki, Kazuhiro Imai and 1 more

Abstract read
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Article in Oncoimmunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Ayuko YamaguchiDepartment of Medical Biology, Akita University Graduate School of Medicine, Akita, Japan.
Haruka SuzukiDepartment of Medical Biology, Akita University Graduate School of Medicine, Akita, Japan.
Shunsuke TakasugaDepartment of Medical Biology, Akita University Graduate School of Medicine, Akita, Japan.
Megumi TatematsuDepartment of Medical Biology, Akita University Graduate School of Medicine, Akita, Japan.
Akane FuchimukaiDepartment of Medical Biology, Akita University Graduate School of Medicine, Akita, Japan.
Tentaro EndoDepartment of Medical Biology, Akita University Graduate School of Medicine, Akita, Japan.
Haruka KayaDepartment of Medical Biology, Akita University Graduate School of Medicine, Akita, Japan.
Aoi MorishitaDepartment of Medical Biology, Akita University Graduate School of Medicine, Akita, Japan.
Shinsuke SekiExperimental Animal Division, Bioscience Education and Research Support Center, Akita University, Akita, Japan.
Kazuhiro ImaiDepartment of Thoracic Surgery, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0003-4490-7862
Takashi EbiharaDepartment of Medical Biology, Akita University Graduate School of Medicine, Akita, Japan.ORCID 0000-0002-6056-3230

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Combined cytotoxic chemotherapy and immune checkpoint inhibition (ICI) improves outcomes in PD-L1-low lung cancer, but transient and broad PD-1 expression across immune cells complicates the understanding of the underlying mechanisms. We generated Pdcd1-CreERT2 fate-mapping mice to trace PD-1-expressing cells via tdTomato during PD-1 blockade. PD-1-fate-mapped lymphocytes downregulated PD-1 in the spleen but largely retained it in tumors, except for NK cells, which lost PD-1 and regained function. Single-cell transcriptional profiling was performed on immune cells in PD-L1-low Lewis lung carcinoma (LLC) treated with cyclophosphamide (CTX) and/or anti-PD-1 antibodies. Anti-PD-1 monotherapy showed limited efficacy, whereas CTX plus anti-PD-1 markedly improved tumor control. Single-cell analysis identified 15 transcriptionally distinct immune clusters with treatment-dependent abundances. Combination therapy expanded cytotoxic CD8 T cells and a dysfunctional Treg cluster, enhancing CTL activity, including PD-1-fate-mapped CD8 T cells expressing Tpex1 markers. Single-cell TCR analysis revealed that clonotypes selectively expanded by combination therapy, mediating potent cytotoxicity against LLC tumors. PD-1 blockade synergizes with cytotoxic chemotherapy to diversify and expand PD-1 lineage-traced CTL clonotypes, driving robust antitumor immunity. Thus, our fate-mapping system is a valuable tool to search for immune cells responsive to ICI therapy.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, Lewis LungImmune Checkpoint InhibitorsProgrammed Cell Death 1 ReceptorAnimalsCyclophosphamideHumansMiceMice, Inbred C57BLCyclophosphamideImmune Checkpoint InhibitorsPdcd1 protein, mouseProgrammed Cell Death 1 Receptorcombination therapycytotoxic drugPD-1 blockadePD-1 fate-mappingsingle cell analysisTCR diversification

Identifiers

PMID41787604
PMCPMC12969739

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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.