Evidence map›Paper›PMID 35447601›Full record

ReviewNeoplasia (New York, N.Y.)2022

Mathematical modeling of radiotherapy and its impact on tumor interactions with the immune system.

Rebecca Anne Bekker, Sungjune Kim, Shari Pilon-Thomas, Heiko Enderling

Open access · goldAbstract readReview
In one paragraph

Review in Neoplasia (New York, N.Y.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.1field-weighted citation impact, top 2% 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

26 citing papers in PubMed, 54 citations in OpenAlex.

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  7. PSA bounce: understanding temporal fluctuations in prostate cancer after external radiotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
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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

4 authors at 1 institution in 1 country.

Rebecca Anne BekkerDepartment of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA. Electronic address: Rebecca.Bekker@moffitt.org.
Sungjune KimDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Shari Pilon-ThomasDepartment of Immunology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA.
Heiko EnderlingDepartment of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA; Department of Radiation Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL, USA. Electronic address: Heiko.Enderling@moffitt.org.
Moffitt Cancer Center · US

Funding

Predict radiation-induced shifts in patient-specific tumor immune ecosystem composition to harness immunological consequences of radiotherapyU01CA244100 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ENDERLING, HEIKO, PILON-THOMAS, SHARI · 2020 to 2025
$2.6M
NCI NIH HHS U01 CA244100
6 · The paper itself

Abstract

Radiotherapy is a primary therapeutic modality widely utilized with curative intent. Traditionally tumor response was hypothesized to be due to high levels of cell death induced by irreparable DNA damage. However, the immunomodulatory aspect of radiation is now widely accepted. As such, interest into the combination of radiotherapy and immunotherapy is increasing, the synergy of which has the potential to improve tumor regression beyond that observed after either treatment alone. However, questions regarding the timing (sequential vs concurrent) and dose fractionation (hyper-, standard-, or hypo-fractionation) that result in improved anti-tumor immune responses, and thus potentially enhanced tumor inhibition, remain. Here we discuss the biological response to radiotherapy and its immunomodulatory properties before giving an overview of pre-clinical data and clinical trials concerned with answering these questions. Finally, we review published mathematical models of the impact of radiotherapy on tumor-immune interactions. Ranging from considering the impact of properties of the tumor microenvironment on the induction of anti-tumor responses, to the impact of choice of radiation site in the setting of metastatic disease, these models all have an underlying feature in common: the push towards personalized therapy.

Indexed as

ImmunotherapyNeoplasmsCombined Modality TherapyHumansImmune SystemModels, TheoreticalTumor MicroenvironmentImmunotherapyMathematical modelPersonalized oncologyRadiotherapyTumor immune interactions

Identifiers

PMID35447601
PMCPMC9043662
OpenAlexW4224236830

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.