Evidence map›Paper›PMID 42065248›Full record

ArticleThe Journal of clinical investigation2026

Conventional type-1 DC density is associated with checkpoint inhibitor response across multiple types of cancer.

Alvaro Lopez-Janeiro, José González-Gomariz, Fadi Issa, Joanna Hester, Angelo Porciuncula, Alvaro Teijeira, Carlos Luri-Rey, David Ruiz-Guillamon, Jose Luis Perez-Gracia, Elisabeth Perez-Ruiz and 13 more

Abstract read
In one paragraph

Article in The Journal of clinical investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Alvaro Lopez-JaneiroDepartment of Pathology, Clinica Universidad de Navarra. Pamplona, Navarra, Spain.
José González-GomarizInstitute of Data Science and Artificial Intelligence (DATAI), Universidad de Navarra, Pamplona, Spain.
Fadi IssaNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Joanna HesterNuffield Department of Surgical Sciences, University of Oxford, Oxford, United Kingdom.
Angelo PorciunculaDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.
Alvaro TeijeiraImmunology and Immunotherapy Program, Cima Universidad de Navarra, Pamplona, Spain.
Carlos Luri-ReyImmunology and Immunotherapy Program, Cima Universidad de Navarra, Pamplona, Spain.
David Ruiz-GuillamonImmunology and Immunotherapy Program, Cima Universidad de Navarra, Pamplona, Spain.
Jose Luis Perez-GraciaCentro de Investigación Biomédica en Red de Cáncer (CIBERONC), Madrid, Spain.
Elisabeth Perez-RuizGroup of Translational Research in Cancer Immunotherapy and Epigenetics (B-05), Medical Oncology Department, Hospital Regional Universitario de Malaga, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, Malaga, Spain.
Isabel BarraganGroup of Translational Research in Cancer Immunotherapy and Epigenetics (B-05), Medical Oncology Unit of Virgen de la Victoria Hospital, Instituto de Investigación Biomédica de Málaga y Plataforma en Nanomedicina-IBIMA Plataforma BIONAND, 29010, Malaga, Spain.
Salvador Martín-AlgarraDepartment of Oncology, Cancer Center Clinica Universidad de Navarra, Pamplona, Spain.
Miguel F SanmamedDepartment of Oncology, Cancer Center Clinica Universidad de Navarra, Pamplona, Spain.
Ignacio OrtegoDepartment of Oncology, Cancer Center Clinica Universidad de Navarra, Pamplona, Spain.
Maria E Rodriguez-RuizDepartment of Radiation Oncology, Clínica Universidad de Navarra, Pamplona, Spain.
Raluca AlexandruDepartment of Pathology, Clinica Universidad de Navarra. Pamplona, Navarra, Spain.
Inmaculada RodriguezImmunology and Immunotherapy Program, Cima Universidad de Navarra, Pamplona, Spain.
Saioa Arrieta-AranzuequeImmunology and Immunotherapy Program, Cima Universidad de Navarra, Pamplona, Spain.
David RimmDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.
Thazin AungDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.
Kurt A SchalperDepartment of Pathology, Yale University School of Medicine, New Haven, Connecticut, USA.
Carlos E de AndreaDepartment of Pathology, Clinica Universidad de Navarra. Pamplona, Navarra, Spain.
Ignacio MeleroImmunology and Immunotherapy Program, Cima Universidad de Navarra, Pamplona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional type-1 dendritic cells (cDC1) are the main mediators of crosspresentation of tumor antigens to CD8+ T cells and provide a context of costimulatory molecules and cytokines that lead to cytotoxic T lymphocyte (CTL) responses. We analyzed bulk RNA sequences from 7 key clinical trials testing checkpoint inhibitors across multiple cancer types. cDC1- and CD8-associated gene signatures were analyzed. Multiplex tissue immunofluorescence was used to quantify cDC1 in melanoma, urothelial cancer, and non-small-cell lung cancer (NSCLC) samples and assess cDC1 tissue neighborhoods. Melanoma samples were studied with Xenium spatial transcriptomics (ST) and one series of NSCLC was analyzed using GeoMX-DSP. Strong associations across tumor types were found between cDC1 and CD8+ T cell transcripts with clinical outcomes. As mechanistically expected, transcripts for the CCL4 and CCL5 chemokines and the growth factor FLT3-L showed associations with cDC1 abundance. Tissue immunofluorescence showed a strong correlation of cDC1 and CD8+ T cell infiltration with clinical benefit upon treatment with checkpoint inhibitors (CPIs). Moreover, short distance between cDC1 and CD8+ T cells was found to define tissue niches associated with favorable outcomes. ST revealed recent T cell activation within immune cDC1-rich niches. cDC1 abundance, which determines CD8+ T lymphocyte density and activation in tumor tissues across cancer types, is strongly associated with clinical response to CPI-based immunotherapies.

Indexed as

CD8-Positive T-LymphocytesDendritic CellsImmune Checkpoint InhibitorsNeoplasmsFemaleHumansImmune Checkpoint InhibitorsCancer immunotherapyDendritic cellsImmunologyOncology

Identifiers

PMID42065248
PMCPMC13132367

What OpenQuestion holds

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Registered trials

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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.