ArticleJournal of cancer research and clinical oncology2024
Genetic inference and single cell expression analysis of potential targets in heart failure and breast cancer.
Article in Journal of cancer research and clinical oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 1 paper.
What it found
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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
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Who cites it
1 citing paper in PubMed.
- Insights Into Heart-Tumor Interactions in Heart Failure.Circulation research · 2025Review
Corrections and comments
- Retraction · 2025-02-22Concerns/Issues about Peer Review · Concerns/Issues about Results and/or Conclusions · Investigation by Journal/Publisher · Objections by Author(s) · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBreast cancer and heart failure are major public health issues globally, characterized by significant genetic heterogeneity and complex molecular mechanisms. This study aims to explore potential genetic targets in heart failure and breast cancer through combining genetic inference and single-cell expression analysis, and to assess the causal relationships of these targets using Mendelian randomization methods.
methodsWe first identified genetic variants associated with heart failure and breast cancer using genome-wide association study (GWAS) data. Subsequently, we analyzed the expression patterns of these genetic variants in different cell types through single-cell RNA sequencing technology. Furthermore, we utilized in vitro experiment to assess the effects of ITM2B on MCF7 using immunofluorescence.
resultsOur study identified multiple genetic variants associated with heart failure and breast cancer, showing specific expression patterns in heart and breast cells. The ITM2B gene is highly expressed in breast cancer. ITM2B shows the highest expression in T cells and the lowest expression in proliferating cells. Silencing the ITM2B gene can promote apoptosis and inhibit proliferation and migration of MCF7 breast cancer cells.
conclusionBy integrating genetic inference and single-cell expression analysis, this study revealed potential genetic targets in heart failure and breast cancer, and validated the causal effects of these targets using Mendelian randomization methods.
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