ArticleNPJ breast cancer2020
The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density.
Article in NPJ breast cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 9 citations in OpenAlex.
- Article
- Breast cancers arising in high mammographic density tissue harbor tumor-promoting immune profiles.NPJ breast cancer · 2026Article
- Cohort Profile: Lifepool.International journal of epidemiology · 2025Article
- Association between breastfeeding, mammographic density, and breast cancer risk: a review.International breastfeeding journal · 2024Review
- Genetic landscape of interval and screen detected breast cancer.NPJ precision oncology · 2024Article
- Nanomaterial-assisted CRISPR gene-engineering - A hallmark for triple-negative breast cancer therapeutics advancement.Materials today. Bio · 2022Review
- The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density.NPJ breast cancer · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 5 institutions in 2 countries.
Funding
Abstract
Mammographic density (MD) influences breast cancer risk, but how this is mediated is unknown. Molecular differences between breast cancers arising in the context of the lowest and highest quintiles of mammographic density may identify the mechanism through which MD drives breast cancer development. Women diagnosed with invasive or in situ breast cancer where MD measurement was also available (
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Identifiers
What OpenQuestion holds
Registered trials
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.