Evidence map›Paper›PMID 40579430›Full record

ReviewNature reviews. Clinical oncology2025

Ecological management of the microbiota in patients with cancer.

Joao B Xavier

Abstract readReview
In one paragraph

Review in Nature reviews. Clinical oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

1 author.

Joao B XavierProgram for Computational and Systems Biology, Memorial Sloan Kettering Cancer Center, New York, NY, USA. xavierj@mskcc.org.ORCID http://orcid.org/0000-0003-3592-1689

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
Understanding the molecular mechanisms regulating fungal colonization and disease in the mammalian intestinal nicheP01AI179406 · NIAID · SLOAN-KETTERING INST CAN RESEARCH · PI Richard John Bennett, TOBIAS M HOHL · 2024 to 2026
$9.9M
Mathematical modeling of metabolism rewiring in cancer eco-evolution and metastasis tropismR01CA266068 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI Joao Xavier · 2023 to 2026
$2.3M
NCI NIH HHS P30 CA008748NCI NIH HHS R01 CA266068NIAID NIH HHS P01 AI179406
6 · The paper itself

Abstract

The composition of the intestinal microbiota influences the outcomes of patients receiving cancer treatment, although the best way to use this knowledge to improve cancer care remains unclear. In this Review, I synthesize the current understanding of host-microbiota dynamics in patients with cancer, and propose the integration of microbiota management guided by ecological principles in cancer care. Ecological management of the microbiota emphasizes the preservation of microbial populations - and the benefits they provide to the host - from the disruption caused by treatments such as chemotherapy and prophylactic antibiotics. The microbiota can be routinely and longitudinally monitored in patients using proven non-invasive methods, such as 16S ribosomal RNA amplicon sequencing. Longitudinal microbiome data can be processed with innovative computational tools based on principles of mathematical ecology to predict the risk of microbiota-related complications, guide treatment choices that minimize disturbance to the microbiota and restore microbial populations damaged by cancer treatment. Routine microbiome monitoring could also generate extensive datasets for human-based research, which could inform new microbiota-targeted interventions that improve responses to cancer treatments, including immune-checkpoint inhibitors. Applying ecological approaches to manage microbiota could enhance cancer care and improve patient outcomes.

Indexed as

Gastrointestinal MicrobiomeNeoplasmsHumansMicrobiotaRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID40579430
PMCPMC12690607

What OpenQuestion holds

Textmetadata
LicenceTDM
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.