Evidence map›Paper›PMID 39532757›Full record

ReviewMedical oncology (Northwood, London, England)2024

Dissecting the epigenetic orchestra of HDAC isoforms in breast cancer development: a review.

Maria Debbarma, Kakali Sarkar, Samir Kumar Sil

Abstract readReview
PubMed Publisher
In one paragraph

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Maria DebbarmaMolecular Genetics & Cancer Biology Laboratory, Department of Human Physiology, Tripura University, Suryamaninagar, Tripura, 799022, India.ORCID http://orcid.org/0009-0005-3226-9092
Kakali SarkarMolecular Genetics & Cancer Biology Laboratory, Department of Human Physiology, Tripura University, Suryamaninagar, Tripura, 799022, India.ORCID http://orcid.org/0000-0002-0663-1378
Samir Kumar SilMolecular Genetics & Cancer Biology Laboratory, Department of Human Physiology, Tripura University, Suryamaninagar, Tripura, 799022, India. s_k_sil@tripurauniv.ac.in.ORCID http://orcid.org/0000-0002-6579-031X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epigenetic modulators have recently emerged as potential targets in cancer therapy. Breast cancer, the second leading cause of cancer-related deaths among women globally and the most common cancer in India, continues to have a low survival rate despite available treatments. This underscores the urgent need for more effective therapeutic strategies. Histone deacetylases (HDACs), a prominent class of epigenetic modulators, are frequently overexpressed in various cancers, including breast cancer, making them and their downstream pathways, a focus of current research, aiming to develop more effective and less invasive treatments that could help overcome chemoresistance and enhance patient outcomes. Despite the growing body of evidences, a comprehensive and consolidated review on molecular intricacy behind the HDAC-mediated epigenetic regulation of breast cancer is conspicuously absent. Therefore, this review aims to open doors for future research by exploring the evolving role of HDACs, their molecular mechanisms, and their potential as therapeutic targets in breast cancer treatment.

Indexed as

Breast NeoplasmsEpigenesis, GeneticHistone DeacetylasesFemaleGene Expression Regulation, NeoplasticHistone Deacetylase InhibitorsHumansIsoenzymesHistone Deacetylase InhibitorsHistone DeacetylasesIsoenzymesBreast cancerEpigeneticsEpitargetHistone deacetylasesMechanistic role

Identifiers

What OpenQuestion holds

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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.