Evidence map›Paper›PMID 33348372›Full record

ArticleRadiation research2020

Evidence for Early Stage Anti-Tumor Immunity Elicited by Spatially Fractionated Radiotherapy-Immunotherapy Combinations.

Andrew J Johnsrud, Samir V Jenkins, A Jamshidi-Parsian, Charles M Quick, Edvaldo P Galhardo, Ruud P M Dings, Kieng B Vang, Ganesh Narayanasamy, Issam Makhoul, Robert J Griffin

Open access · bronzeAbstract read
In one paragraph

Article in Radiation research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
3.0field-weighted citation impact, top 7% of its field
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

48 citing papers in PubMed, 60 citations in OpenAlex.

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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

10 authors at 2 institutions in 1 country.

Andrew J JohnsrudDivision of Hematology and Oncology, University of Arkansas, Little Rock, Arkansas.
Samir V JenkinsDepartment of Radiation Oncology, University of Arkansas, Little Rock, Arkansas.
A Jamshidi-ParsianDepartment of Radiation Oncology, University of Arkansas, Little Rock, Arkansas.
Charles M QuickDepartment of Pathology, University of Arkansas, Little Rock, Arkansas.
Edvaldo P GalhardoDepartment of Radiation Oncology, University of Arkansas, Little Rock, Arkansas.
Ruud P M DingsDepartment of Radiation Oncology, University of Arkansas, Little Rock, Arkansas.
Kieng B VangCenter for Integrative Nanotechnology Sciences, University of Arkansas, Little Rock, Arkansas.
Ganesh NarayanasamyDepartment of Radiation Oncology, University of Arkansas, Little Rock, Arkansas.
Issam MakhoulDivision of Hematology and Oncology, University of Arkansas, Little Rock, Arkansas.
Robert J GriffinDepartment of Radiation Oncology, University of Arkansas, Little Rock, Arkansas.
Palmetto Hematology Oncology · USUniversity of Arkansas at Little Rock · US

Funding

Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
Study of the Cell-specific Inflammasome Responses During Defense Against Gram-negative BacteriaP20GM103625 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI SMELTZER, MARK S · 2012 to 2021
$21.5M
Pilot Grant ProgramP30GM145393 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI MARK S SMELTZER · 2022 to 2026
$7.6M
J. NRSA TrainingTL1TR003109 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI SEXTON, KEVIN WAYNE · 2019 to 2023
$1.5M
Study of anti-angiogenesis enhanced radiotherapyR01CA107160 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI GRIFFIN, ROBERT JAMES · 2005 to 2008
$973k
NCATS NIH HHS TL1 TR003109NCATS NIH HHS UL1 TR003107NCI NIH HHS R01 CA107160NIGMS NIH HHS P20 GM103625NIGMS NIH HHS P30 GM145393
6 · The paper itself

Abstract

The combination of radiotherapy and immunotherapy may generate synergistic anti-tumor host immune responses and promote abscopal effects. Spatial fractionation of a radiation dose has been found to promote unique physiological responses of tumors, which might promote synergy with immunotherapy. To determine whether spatial fractionation may augment immune activity, whole-tumor or spatial fractionation grid radiation treatment (GRID) alone or in combination with antibodies against immune checkpoints PD1 and CTLA-4 were tested in an immunocompetent mouse model using a triple negative breast tumor (4T1). Tumor growth delay, immunohistochemistry and flow cytometry were used to characterize the effects of each treatment type. Whole-beam radiation with immune checkpoint inhibition significantly restrained tumor growth in the irradiated tumor, but not abscopal tumors, compared to either of these treatments alone. In mice that received spatially fractionated irradiation, evidence of abscopal immune responses were observed in contralateral tumors with markedly enhanced infiltration of both antigen-presenting cells and activated T cells, which were preceded by increased systemic IFNγ production and led to eventual tumor growth delay. These studies suggest that systemic immune activation may be triggered by employing GRID to a primary tumor lesion, promoting anti-tumor immune responses outside the treatment field. Interestingly, PD-L1 was found to be upregulated in abscopal tumors from GRID-treated mice. Combined radio-immunotherapy therapy is becoming a validated and novel approach in the treatment of cancer. With the potential increased benefit of GRID to augment both local and metastatic disease responses, further exploration of GRID treatment as a part of current standards of care is warranted.

Indexed as

AnimalsCell Line, TumorCombined Modality TherapyDisease Models, AnimalFemaleImmunotherapyMiceMice, Inbred BALB CNeoplasms, ExperimentalRadiotherapy

Identifiers

PMID33348372
PMCPMC8008989
OpenAlexW3113106232

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.