ReviewMedical oncology (Northwood, London, England)2024
Impact of microRNA variants on PI3K/AKT signaling in triple-negative breast cancer: comprehensive review.
Review 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 5 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
5 citing papers in PubMed.
- The roles of non-coding RNAs (ncRNAs) in the function of leukemic stem cells (LSCs): a comprehensive review.Discover oncology · 2025Review
- The Effect and Treatment of PIK3CA Mutations in Breast Cancer: Current Understanding and Future Directions.Medicina (Kaunas, Lithuania) · 2025Review
- An Updated Review Deciphering the Inhibitory Potential of Erianin via Targeting Several Dysregulated Oncogenes in Several Human Carcinomas.Current pharmaceutical design · 2025Review
- DIFFERENTIALLY EXPRESSED MIRNAS EXPLAIN RACIAL DIFFERENCES IN DIAGNOSIS STAGE AMONG TRIPLE NEGATIVE BREAST CANCER PATIENTS IN LOUISIANA.jLPHA : the official journal of the Louisiana Public Health Association · 2025Article
- Clinical research on triple-negative breast cancer that targets the PIK3CA pathway.Medical oncology (Northwood, London, England) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breast cancer (BC) is a significant cause of cancer-related mortality, and triple-negative breast cancer (TNBC) is a particularly aggressive subtype associated with high mortality rates, especially among younger females. TNBC poses a considerable clinical challenge due to its aggressive tumor behavior and limited therapeutic options. Aberrations within the PI3K/AKT pathway are prevalent in TNBC and correlate with increased therapeutic intervention resistance and poor outcomes. MicroRNAs (miRs) have emerged as crucial PI3K/AKT pathway regulators influencing various cellular processes involved in TNBC pathogenesis. The levels of miRs, including miR-193, miR-4649-5p, and miR-449a, undergo notable changes in TNBC tumor tissues, emphasizing their significance in cancer biology. This review explored the intricate interplay between miR variants and PI3K/AKT signaling in TNBC. The review focused on the molecular mechanisms underlying miR-mediated dysregulation of this pathway and highlighted specific miRs and their targets. In addition, we explore the clinical implications of miR dysregulation in TNBC, particularly its correlation with TNBC prognosis and therapeutic resistance. Elucidating the roles of miRs in modulating the PI3K/AKT signaling pathway will enhance our understanding of TNBC biology and unveil potential therapeutic targets. This comprehensive review aims to discuss current knowledge and open promising avenues for future research, ultimately facilitating the development of precise and effective treatments for patients with TNBC.
Indexed as
Identifiers
39120634What 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.