Evidence map›Paper›PMID 39386816›Full record

ReviewHeliyon2024

Micro-RNAs in breast cancer progression and metastasis: A chromatin and metabolic perspective.

Sweta Sikder, Aditya Bhattacharya, Aayushi Agrawal, Gautam Sethi, Tapas K Kundu

Abstract readReview
In one paragraph

Review in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
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.

Sweta SikderTranscription and Disease Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, 560064, India.
Aditya BhattacharyaTranscription and Disease Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, 560064, India.
Aayushi AgrawalDivision of Cancer Biology, CSIR-Central Drug Research Institute, Sector-10, Jankipuram Extension, Sitapur Road, Lucknow, 226031, UP, India.
Gautam SethiDepartment of Pharmacology, Yong Loo Lin School of Medicine, National University of Singapore, 16 Medical Drive, 117600, Singapore.
Tapas K KunduTranscription and Disease Laboratory, Molecular Biology and Genetics Unit, Jawaharlal Nehru Centre for Advanced Scientific Research, Bangalore, 560064, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a highly complex disease with multiple subtypes. While many of the breast cancer cases are sporadic some can be familial or hereditary. Genomic integrity is closely monitored by several mechanisms, such as DNA damage machinery and mitotic checkpoints. Any defect in the key genes involved in the regulation of these mechanisms often results in genomic instability, predisposing the cells to malignancy. This results in altered expression of many coding and noncoding genes. The noncoding RNAs especially the long noncoding RNA (lncRNAs) and microRNA (miRNAs) act as key regulators of cancer gene networks. Some miRNAs repress the expression of the heterochromatin-associated proteins, inducing the formation of open chromatin, and promoting the expression of genes required for oncogenesis. Additionally, specific miRNAs may also favour cancer progression and metastasis by regulating the expression of genes that support the metabolic microenvironment essential for cancer cell growth and proliferation. Understanding how these noncoding RNAs contribute to breast cancer development opens potential avenues for therapeutic intervention, targeting their dysregulated activity.

Identifiers

PMID39386816
PMCPMC11462366

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.