Evidence map›Paper›PMID 28729417›Full record

ArticleCancer research2017

Mathematical Modeling of Tumor-Tumor Distant Interactions Supports a Systemic Control of Tumor Growth.

Sebastien Benzekry, Clare Lamont, Dominique Barbolosi, Lynn Hlatky, Philip Hahnfeldt

Open access · greenAbstract read
In one paragraph

Article in Cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 48 citations in OpenAlex.

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  12. Lessons from Hippocrates: Time to Change the Cancer Paradigm.International journal of chronic diseases · 2020
    Review
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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

5 authors at 3 institutions in 2 countries.

Sebastien BenzekryInria team MONC, Inria Bordeaux Sud-Ouest, Talence, France. sebastien.benzekry@inria.fr.
Clare LamontCenter of Cancer Systems Biology, GRI, Tufts University School of Medicine, Boston, Massachusetts.
Dominique BarbolosiSMARTc Unit, Inserm S_911 CRO2, Aix-Marseille University, Marseille, France.
Lynn HlatkyCenter of Cancer Systems Biology, GRI, Tufts University School of Medicine, Boston, Massachusetts.
Philip HahnfeldtCenter of Cancer Systems Biology, GRI, Tufts University School of Medicine, Boston, Massachusetts.
Tufts University · USCentre Inria de l'université de Bordeaux · FRInserm · FR

Funding

Project 5 UC BerkleyU54CA149233 · NCI · STEWARD ST. ELIZABETH'S MEDICAL CENTER · PI HLATKY, LYNN · 2010 to 2014
$7.3M
NCI NIH HHS U54 CA149233
6 · The paper itself

Abstract

Interactions between different tumors within the same organism have major clinical implications, especially in the context of surgery and metastatic disease. Three main explanatory theories (competition, angiogenesis inhibition, and proliferation inhibition) have been proposed, but precise determinants of the phenomenon remain poorly understood. Here, we formalized these theories into mathematical models and performed biological experiments to test them with empirical data. In syngeneic mice bearing two simultaneously implanted tumors, growth of only one of the tumors was significantly suppressed (61% size reduction at day 15,

Indexed as

Cell ProliferationModels, BiologicalModels, TheoreticalAnimalsCarcinoma, Lewis LungMaleMiceMice, Inbred C57BLNeoplasm MetastasisNeovascularization, PathologicTumor Cells, Cultured

Identifiers

PMID28729417
PMCPMC5600871
OpenAlexW2736337012

What OpenQuestion holds

Textmetadata
LicenceTDM
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.