Evidence mapPaperPMID 39740900Full record

ReviewIn vivo (Athens, Greece)

The Bidirectional Impact of Cancer Radiotherapy and Human Microbiome: Microbiome as Potential Anti-tumor Treatment Efficacy and Toxicity Modulator.

Martin Palkovsky, Nikol Modrackova, Vera Neuzil-Bunesova, Marian Liberko, Renata Soumarova

Abstract readReview
In one paragraph

Review in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Martin PalkovskyDepartment of Oncology, University Hospital Kralovske Vinohrady, Prague, Czech Republic; martin.palkovsky@fnkv.cz.
Nikol ModrackovaCzech University of Life Sciences Prague, Department of Microbiology, Nutrition and Dietetics, Faculty of Agrobiology, Food and Natural Resources, Prague, Czech Republic.
Vera Neuzil-BunesovaCzech University of Life Sciences Prague, Department of Microbiology, Nutrition and Dietetics, Faculty of Agrobiology, Food and Natural Resources, Prague, Czech Republic.
Marian LiberkoDepartment of Oncology, University Hospital Kralovske Vinohrady, Prague, Czech Republic.
Renata SoumarovaDepartment of Oncology, University Hospital Kralovske Vinohrady, Prague, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbiome and radiotherapy represent bidirectionally interacting entities. The human microbiome has emerged as a pivotal modulator of the efficacy and toxicity of radiotherapy; however, a reciprocal effect of radiotherapy on microbiome composition alterations has also been observed. This review explores the relationship between the microbiome and extracranial solid tumors, particularly focusing on the bidirectional impact of radiotherapy on organ-specific microbiome. This article aims to provide a systematic review on the radiotherapy-induced microbial alteration in-field as well as in distant microbiomes. In this review, particular focus is directed to the oral and gut microbiome, its role in the development and progression of cancer, and how it is altered throughout radiotherapy. This review concludes with recommendations for future research, such as exploring microbiome modification to optimize radiotherapy-induced toxicities or enhance its anti-cancer effects.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaNeoplasmsHumansRadiotherapyTreatment Outcomecancerdysbiosisgut-organ axismicrobiomeradiosensitivityRadiotherapyreview

Identifiers

PMID39740900
PMCPMC11705129

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.