Evidence map›Paper›PMID 41345403›Full record

ReviewNPJ breast cancer2025

Night shift work and breast cancer: from etiopathology to precision risk analysis.

Silvia Vivarelli, Tania Formica, Ylenia Puliatti, Giovanna Spatari, Concettina Fenga

Abstract readReview
In one paragraph

Review in NPJ breast cancer, 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. Review
  4. Article
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.

Silvia VivarelliDepartment of Biomedical and Dental Sciences, Morphological and Functional Imaging, Section of Occupational Medicine, University of Messina, Messina, Italy. silvia.vivarelli@unime.it.
Tania FormicaDepartment of Biomedical and Dental Sciences, Morphological and Functional Imaging, Section of Occupational Medicine, University of Messina, Messina, Italy.
Ylenia PuliattiDepartment of Biomedical and Dental Sciences, Morphological and Functional Imaging, Section of Occupational Medicine, University of Messina, Messina, Italy.
Giovanna SpatariDepartment of Biomedical and Dental Sciences, Morphological and Functional Imaging, Section of Occupational Medicine, University of Messina, Messina, Italy.
Concettina FengaDepartment of Biomedical and Dental Sciences, Morphological and Functional Imaging, Section of Occupational Medicine, University of Messina, Messina, Italy. cfenga@unime.it.

Funding

National Recovery and Resilience Plan (PNRR) PNRR-MAD-2022-12376823
6 · The paper itself

Abstract

The increasing prevalence of night shift work (NSW) in our current professional landscape has raised significant public health concerns, particularly regarding its potential role in breast cancer (BC) development among women. Recognized by the International Agency for Research on Cancer (IARC) as a probable human carcinogen, NSW is believed to contribute to carcinogenesis primarily through circadian disruption induced by exposure to light at night. This review explores three key areas: (1) the biological mechanisms potentially linking NSW to BC, including melatonin suppression, oxidative stress, immune dysregulation, chronic inflammation, clock gene alterations, epigenetic modifications, telomere shortening, estrogen signaling disruption, vitamin D deficiency, and gut microbiome imbalance; (2) the emergence of novel putative biomarkers with might be relevant to early detection and precision risk analysis; and (3) the latest epidemiological evidence from case-control and cohort studies evaluating BC risk in female night shift workers, while considering the heterogeneity caused by exposure misclassification and other confounding factors. Altogether, these insights underscore the importance of integrating mechanistic, molecular, and epidemiological data, not only to deepen our understanding of the strength and nature of the relationship between NSW and BC, but also to support a precision medicine framework. This integrated approach is essential for improving individual risk stratification, guiding occupational health policies, and developing targeted preventive strategies for high-risk workers.

Identifiers

PMID41345403
PMCPMC12796440

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.