Evidence map›Paper›PMID 25737274›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2015

Genetically modified bacteria as a tool to detect microscopic solid tumor masses with triggered release of a recombinant biomarker.

Jan T Panteli, Brittany A Forkus, Nele Van Dessel, Neil S Forbes

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2015. 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
–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

18 citing papers in PubMed.

  1. Review
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  7. Article
  8. Pharmaceutics · 2022
    Review
  9. Review
  10. Article
  11. Detection of tumors with fluoromarker-releasing bacteria.International journal of cancer · 2020
    Article
  12. 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

4 authors.

Jan T PanteliDepartment of Chemical Engineering, University of Massachusetts Amherst, 159 Goessmann Laboratory, 686 North Pleasant Street, Amherst, MA 01003-9303, USA. forbes@umass.edu.
Brittany A Forkus
Nele Van Dessel
Neil S Forbes

Funding

Targeting epigenetic regulators using bacterial macromolecule deliveryR01CA188382 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI FORBES, NEIL S. · 2014 to 2018
$1.6M
Engineering Salmonella to be a targeted intratumoral anti-cancer therapeuticR01CA120825 · NCI · UNIVERSITY OF MASSACHUSETTS AMHERST · PI FORBES, NEIL S. · 2008 to 2011
$1.2M
NCI NIH HHS R01 CA120825NCI NIH HHS R01CA120825NCI NIH HHS R01 CA188382NCI NIH HHS R01CA188382
6 · The paper itself

Abstract

Current tomographic methods of cancer detection have limited sensitivity and are unable to detect malignant masses smaller than half a centimeter in diameter. Mortality from tumor recurrence and metastatic disease would be reduced if small lesions could be detected earlier. To overcome this limitation, we created a detection system that combines the specificity of tumor-targeting bacteria with the sensitivity of a synthetic biomarker. Bacteria, specifically Salmonella, preferentially accumulate in tumors and microscopic metastases as small as five cell layers thick. To create tumor detecting bacteria, an attenuated strain of Salmonella was engineered to express and release the fluorescent protein ZsGreen. A single-layer antibody method was developed to measure low concentrations of ZsGreen. Engineered bacteria were administered to a microfluidic tumor-on-a-chip device to measure protein production. In culture, half of produced ZsGreen was released by viable bacteria at a rate of 87.6 fg bacterium(-1) h(-1). Single-layer antibody dots were able to detect bacterially produced ZsGreen at concentrations down to 4.5 ng ml(-1). Bacteria colonized in 0.12 mm(3) of tumor tissue in the microfluidic device released ZsGreen at a rate of 23.9 μg h(-1). This release demonstrates that ZsGreen readily diffuses through tissue and accumulates at detectable concentrations. Based on a mathematical pharmacokinetic model, the measured rate of release would enable detection of 0.043 mm(3) tumor masses, which is 2600 times smaller than the current limit of tomographic techniques. Tumor-detecting bacteria would provide a sensitive, minimally invasive method to detect tumor recurrence, monitor treatment efficacy, and identify the onset of metastatic disease.

Indexed as

BiomarkersCell Line, TumorGenetic EngineeringGreen Fluorescent ProteinsHumansMicroscopy, FluorescenceNeoplasms, ExperimentalRecombinant ProteinsReproducibility of ResultsSalmonellaSensitivity and SpecificityBiomarkersGreen Fluorescent ProteinsRecombinant Proteins

Identifiers

PMID25737274
PMCPMC4390529

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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.