Evidence map›Paper›PMID 40473819›Full record

ArticleScientific reports2025

Characterisation of an autochthonous mouse ccRCC model of immune checkpoint inhibitor therapy resistance.

Asin Peighambari, Hsin Huang, Patrick Metzger, Mojca Adlesic, Kyra Zodel, Silvia Schäfer, Philipp Seidel, Lukas M Braun, Jan Hülsdünker, Wolfgang Melchinger and 13 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Asin PeighambariDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Hsin HuangDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Patrick MetzgerInstitute of Medical Bioinformatics and Systems Medicine, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Mojca AdlesicDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Kyra ZodelDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Silvia SchäferDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Philipp SeidelDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Lukas M BraunDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Jan HülsdünkerDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Wolfgang MelchingerDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Marie FolloDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Manching KuClinic for Pediatric Hematology & Oncology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Stefan HaugInstitute of Genetic Epidemiology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Yong LiInstitute of Genetic Epidemiology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Anna KöttgenInstitute of Genetic Epidemiology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Christoph SchellInstitute for Surgical Pathology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Dominik von ElverfeldtDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Wilfried ReichardtDivision of Medical Physics, Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Robert ZeiserDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Mathias HeikenwalderDivision of Chronic Inflammation and Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Rouven HöfflinDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Melanie BörriesInstitute of Medical Bioinformatics and Systems Medicine, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Ian J FrewDepartment of Internal Medicine I, Hematology, Oncology and Stem Cell Transplantation, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany. ian.frew@uniklinik-freiburg.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many metastatic clear cell renal cell carcinomas (ccRCC) are resistant to immune checkpoint inhibitor therapies, however the mechanisms underlying sensitivity or resistance remain incompletely characterised. We demonstrate that ccRCCs in the Vhl/Trp53/Rb1 mutant mouse model are resistant to combined anti-PD-1/anti-CTLA-4 therapy alone and in combination with additional therapeutic agents that reflect current ccRCC clinical trials. However, in some animals in vivo checkpoint therapy allowed isolated splenic T cells to recognise cultured ccRCC cells from the same animal, implicating the tumour microenvironment in suppression of T cell activation. We identified putative immunosuppressive myeloid cell populations with features similar to myeloid cells in the microenvironment of human ccRCC. The expression patterns of immune checkpoint ligands in both the mouse model and in human ccRCC suggests that several checkpoint systems other than PD-1 and CTLA-4 are likely to represent the dominant T cell suppressive forces in ccRCC. Our findings characterise an autochthonous mouse ccRCC model of immune checkpoint inhibitor therapy resistance and pave the way for a systematic functional dissection of the identified potential molecular barriers to effective immune therapy of ccRCC.

Indexed as

Carcinoma, Renal CellDrug Resistance, NeoplasmImmune Checkpoint InhibitorsKidney NeoplasmsAnimalsCell Line, TumorCTLA-4 AntigenDisease Models, AnimalHumansMiceProgrammed Cell Death 1 ReceptorT-LymphocytesTumor MicroenvironmentCTLA-4 AntigenImmune Checkpoint InhibitorsProgrammed Cell Death 1 Receptor

Identifiers

PMID40473819
PMCPMC12141660

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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.