Evidence map›Paper›PMID 33643484›Full record

ReviewNuclear medicine and molecular imaging2021

Recent Progress in the Molecular Imaging of Tumor-Treating Bacteria.

Sae-Ryung Kang, Jung-Joon Min

Erratum issuedOpen access · greenAbstract readReview
In one paragraph

Review in Nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Exploiting bacteria for cancer immunotherapy.Nature reviews. Clinical oncology · 2024
    Review
  4. Bacterial imaging in tumour diagnosis.Microbial biotechnology · 2024
    Review
  5. Review
  6. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Sae-Ryung KangDepartment of Nuclear Medicine, Chonnam National University Hwasun Hospital, Hwasun, Jeonnam Republic of Korea.ORCID https://orcid.org/0000-0003-0172-5508
Jung-Joon MinDepartment of Nuclear Medicine, Chonnam National University Hwasun Hospital, Hwasun, Jeonnam Republic of Korea.ORCID 0000-0001-6358-2798
Chonnam National University Hwasun Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial cancer therapy (BCT) approaches have been extensively investigated because bacteria can show unique features of strong tropism for cancer, proliferation inside tumors, and antitumor immunity, while bacteria are also possible agents for drug delivery. Despite the rapidly increasing number of preclinical studies using BCT to overcome the limitations of conventional cancer treatments, very few BCT studies have advanced to clinical trials. In patients undergoing BCT, the precise localization and quantification of bacterial density in different body locations is important; however, most clinical trials have used subjective clinical signs and invasive sampling to confirm bacterial colonization. There is therefore a need to improve the visualization of bacterial densities using noninvasive and repetitive in vivo imaging techniques that can facilitate the clinical translation of BCT. In vivo optical imaging techniques using bioluminescence and fluorescence, which are extensively employed to image the therapeutic process of BCT in small animal research, are hard to apply to the human body because of their low penetrative power. Thus, new imaging techniques need to be developed for clinical trials. In this review, we provide an overview of the various in vivo bacteria-specific imaging techniques available for visualizing tumor-treating bacteria in BCT studies.

Indexed as

Bacterial cancer therapy,Bacteria-specific imagingIn vivo imagingTumor-treating bacteria

Identifiers

PMID33643484
PMCPMC7881079
OpenAlexW3126360739

What OpenQuestion holds

Textmetadata
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.