ArticleMedical oncology (Northwood, London, England)2024
Enhancing the understanding of doxorubicin's therapeutic impact in breast cancer.
Article in Medical oncology (Northwood, London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Single‑cell RNA sequencing reveals TMEM71 as an immunomodulatory biomarker predicting immune checkpoint blockade response in breast cancer.Discover oncology · 2025Article
- Integrative transcriptomic and single-cell analysis reveals IL27RA as a key immune regulator and therapeutic indicator in breast cancer.Discover oncology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this letter, we extend our commendation to the authors of the study titled "Doxorubicin downregulates cell cycle regulatory hub genes in breast cancer cells" for their insightful work. However, we also propose several areas for potential enhancement. We identify the study's limitations, such as a focus on the effects of doxorubicin treatment over a limited 48-h period, potential biases due to algorithmic and database constraints, and the absence of in vivo model validation. We advocate for the application of machine learning to identify biomarkers, the use of molecular docking for target selection, and the incorporation of animal models and patient-derived samples to bolster the study's clinical significance. Our recommendations are intended to refine the research and deepen the comprehension of doxorubicin's therapeutic role in the treatment of breast cancer.
Indexed as
Identifiers
39542952What 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.