Evidence map›Paper›PMID 42554806›Full record

ArticleJournal of the National Cancer Institute2026

Differential impact of lymphocytes on radiation response in autochthonous vs transplant murine sarcomas.

Yvonne M Mowery, Aastha Sobti, Alex M Bassil, Amy J Wisdom, Collin L Kent, Chang Su, Jonathan Himes, Eric S Xu, Nerissa T Williams, Lixia Luo and 1 more

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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Yvonne M MoweryDepartment of Radiation Oncology, University of Pittsburgh/UPMC Hillman Cancer Center, Pittsburgh, PA, USA.
Aastha SobtiDepartment of Radiation Oncology, University of Pittsburgh/UPMC Hillman Cancer Center, Pittsburgh, PA, USA.
Alex M BassilDepartment of Radiation Oncology, Duke University, Durham, NC, USA.
Amy J WisdomDepartment of Radiation Oncology, Duke University, Durham, NC, USA.
Collin L KentDepartment of Radiation Oncology, Duke University, Durham, NC, USA.
Chang SuDepartment of Radiation Oncology, Duke University, Durham, NC, USA.
Jonathan HimesDepartment of Radiation Oncology, Duke University, Durham, NC, USA.
Eric S XuDepartment of Radiation Oncology, Duke University, Durham, NC, USA.
Nerissa T WilliamsDepartment of Radiation Oncology, Duke University, Durham, NC, USA.
Lixia LuoDepartment of Radiation Oncology, Duke University, Durham, NC, USA.
David G KirschDepartment of Radiation Oncology, Duke University, Durham, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preclinical studies in transplant tumor models showing high cure rates with combined radiotherapy (RT) and immunotherapy have rarely translated to clinical success, and studies in autochthonous tumor models are limited. We hypothesized that lymphocytes differentially affect RT response in transplant vs autochthonous tumor models. Here, we compared tumor onset and growth delay after 0 or 20 Gy for autochthonous vs transplant soft tissue sarcomas in Rag2-/- mice lacking an adaptive immune system vs immune-intact Rag2+/- mice. While time to tumor onset did not differ between Rag2-/- and Rag2+/- mice in the autochthonous model, transplant tumor onset was significantly slower in immunocompetent mice. No transplant tumors in Rag2-/- mice or autochthonous tumors were cured by RT, whereas 32% of Rag2+/- mice with transplant tumors were cured. These results highlight the importance of including autochthonous tumors as complementary model systems to study the interplay between the immune system and RT response.

Indexed as

immune surveillanceimmunotherapylymphocytesmouse modelsradiation therapy

Identifiers

PMID42554806

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.