Evidence map›Paper›PMID 29930290›Full record

ArticleScientific reports2018

Immune interconnectivity of anatomically distant tumors as a potential mediator of systemic responses to local therapy.

Rachel Walker, Jan Poleszczuk, Shari Pilon-Thomas, Sungjune Kim, Alexander A R A Anderson, Brian J Czerniecki, Louis B Harrison, Eduardo G Moros, Heiko Enderling

Abstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

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  16. Quantifying the limits of CAR T-cell delivery in mice and men.Journal of the Royal Society, Interface · 2021
    Article
  17. A tumor-immune interaction model for hepatocellular carcinoma based on measured lymphocyte counts in patients undergoing radiotherapy.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2020
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Rachel WalkerDepartment of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Jan PoleszczukNalecz Institute of Biocybernetics and Biomedical Engineering, Polish Academy of Sciences, Warsaw, Poland.ORCID 0000-0001-8758-7200
Shari Pilon-ThomasDepartment of Immunology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Sungjune KimDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Alexander A R A AndersonDepartment of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.ORCID 0000-0002-2536-4383
Brian J CzernieckiDepartment of Breast Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Louis B HarrisonDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Eduardo G MorosDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA.
Heiko EnderlingDepartment of Integrated Mathematical Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA. Heiko.Enderling@moffitt.org.ORCID 0000-0002-9696-6410

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex interactions occur between tumor and host immune system at each site in the metastatic setting, the outcome of which can determine behavior ranging from dormancy to rapid growth. An additional layer of complexity arises from the understanding that cytotoxic T cells can traffic through the host circulatory system. Coupling mathematical models of local tumor-immune dynamics and systemic T cell trafficking allows us to simulate the evolution of tumor and immune cell populations in anatomically distant sites following local therapy and thus computationally evaluate immune interconnectivity. Results suggest that the presence of a secondary site may either inhibit or promote growth of the primary, depending on the capacity for immune recruitment of each tumor and the resulting systemic redistribution of T cells. Treatment such as surgical resection and radiotherapy can be simulated to estimate both the decrease in tumor volume at the local treatment-targeted site, and the change in overall tumor burden and tumor growth trajectories across all sites. Qualitatively similar responses of distant tumors to local therapy (positive and negative abscopal effects) to those reported in the clinical setting were observed. Such findings may facilitate an improved understanding of general disease kinetics in the metastatic setting: if metastatic sites are interconnected through the immune system, truly local therapy does not exist.

Indexed as

Models, TheoreticalHumansNeoplasmsT-LymphocytesTreatment Outcome

Identifiers

PMID29930290
PMCPMC6013469

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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.