Evidence map›Paper›PMID 41398112›Full record

ArticleMolecular systems biology2026

Bacterial population dynamics during colonization of solid tumors.

Serkan Sayin, Motasem ElGamel, Brittany Rosener, Michael Brehm, Andrew Mugler, Amir Mitchell

Abstract read
In one paragraph

Article in Molecular systems biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Serkan Sayin *Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01655, USA.ORCID http://orcid.org/0000-0001-8776-2240
Motasem ElGamel *Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, 15260, USA.ORCID http://orcid.org/0000-0002-1853-7258
Brittany RosenerDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01655, USA.ORCID http://orcid.org/0000-0002-1836-8503
Michael BrehmProgram in Molecular Medicine, University of Massachusetts Chan Medical School, Worcester, MA, 01655, USA.ORCID http://orcid.org/0000-0001-6813-3262
Andrew MuglerDepartment of Physics and Astronomy, University of Pittsburgh, Pittsburgh, PA, 15260, USA. andrew.mugler@pitt.edu.ORCID http://orcid.org/0000-0001-9367-7026
Amir MitchellDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, 01655, USA. amir.mitchell@umassmed.edu.ORCID http://orcid.org/0000-0001-9376-3987

Funding

Interactions underlying resilient bacterial communities and successful colonization of host nichesR35GM133775 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Amir Mitchell · 2019 to 2026
$3.0M
Multiscale Stochastic Modeling To Meet the Needs Of Modern Microbial BiologyR35GM156451 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Andrew Mugler · 2025 to 2026
$551k
HHS | NIH | National Institute of General Medical Sciences (NIGMS) R35GM133775HHS | NIH | National Institute of General Medical Sciences (NIGMS) R35GM156451National Science Foundation (NSF) DMS-2245816National Science Foundation (NSF) OAC-2117681NIGMS NIH HHS R35 GM133775NIGMS NIH HHS R35 GM156451University of Pittsburgh (Pitt) Mellon Fellowship
6 · The paper itself

Abstract

Bacterial colonization of tumors is widespread, yet the dynamics during colonization remain underexplored. Here we discover strong variability in the sizes of intratumor bacterial clones and use this variability to infer the mechanisms of colonization. We monitored bacterial population dynamics in murine tumors after introducing millions of genetically barcoded Escherichia coli cells. Results from intravenous injection revealed that roughly a hundred bacteria seeded a tumor and that colonizers underwent rapid, yet highly nonuniform growth. Within a day, bacteria reached a steady-state and then sustained load and clone diversity. Intratumor injections, circumventing colonization bottlenecks, revealed that the nonuniformity persists and that the sizes of bacterial progenies followed a scale-free distribution. Theory suggested that our observations are compatible with a growth model constrained by a local niche load, global resource competition, and noise. Our work provides the first dynamical model of tumor colonization and may allow distinguishing genuine tumor microbiomes from contamination.

Indexed as

Escherichia coliNeoplasmsAnimalsFemaleMiceMicrobiotaPopulation DynamicsColonizationE. coliMicrobiomeTumorZipf’s Law

Identifiers

PMID41398112
PMCPMC12953616

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.