Evidence map›Paper›PMID 29472896›Full record

ArticleFrontiers in microbiology2018

Bacterial Therapy of Cancer: Promises, Limitations, and Insights for Future Directions.

M Gabriela Kramer, Martín Masner, Fernando A Ferreira, Robert M Hoffman

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed
13.6field-weighted citation impact, top 1% 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

67 citing papers in PubMed, 147 citations in OpenAlex.

  1. Designing lysate-based hydrogels for on-demand therapy.Journal of pharmaceutical analysis · 2026
    Review
  2. Article
  3. Microbiota in cancer: current understandings and future perspectives.Signal transduction and targeted therapy · 2026
    Review
  4. Article
  5. The authors respond to feedback onFrontiers in oncology · 2026
    Article
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7 more citing papers are in PubMed but not listed here.

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 2 institutions in 2 countries.

M Gabriela KramerDepartment of Biotechnology, Instituto de Higiene, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
Martín MasnerDepartment of Biotechnology, Instituto de Higiene, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
Fernando A FerreiraDepartment of Biotechnology, Instituto de Higiene, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.
Robert M HoffmanAntiCancer, Inc., San Diego, CA, United States.
Universidad de la República · UYAntiCancer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spontaneous tumors regression has been associated with microbial infection for 100s of years and inspired the use of bacteria for anticancer therapy. Dr. William B. Coley (1862-1936), a bone- sarcoma surgeon, was a pioneer in treating his patients with both live bacterial-based and mixture of heat-killed bacteria known as "Coley's toxins." Unfortunately, Coley was forced to stop his work which interrupted this field for about half a century. Currently, several species of bacteria are being developed against cancer. The bacterial species, their genetic background and their infectious behavior within the tumor microenvironment are thought to be relevant factors in determining their anti-tumor effectiveness

Indexed as

animal models of cancerantitumor effectbacterial-based therapiesbactofectionColey’s toxinscombined therapiesimmune responseSalmonella enterica serovar Typhimurium (S. Typhimurium)

Identifiers

PMID29472896
PMCPMC5810261
OpenAlexW2793038730

What OpenQuestion 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 OpenQuestion graph.