Evidence map›Paper›PMID 39190283›Full record

ReviewBreast cancer (Tokyo, Japan)2024

Applying whole-genome and whole-exome sequencing in breast cancer: a review of the landscape.

Hetvi Ganatra, Joecelyn Kirani Tan, Ana Simmons, Carola Maria Bigogno, Vatsala Khurana, Aruni Ghose, Adheesh Ghosh, Ishika Mahajan, Stergios Boussios, Akash Maniam and 1 more

Abstract readReview
In one paragraph

Review in Breast cancer (Tokyo, Japan), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Translational cancer research · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Article
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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

11 authors.

Hetvi Ganatra *Barts Cancer Institute, Cancer Research UK City of London, Queen Mary University of London, London, UK.
Joecelyn Kirani Tan *School of Medicine, University of St. Andrews, Fife, Scotland, UK.
Ana Simmons *Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK.
Carola Maria BigognoDepartment of Medical Oncology, Barts Cancer Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.
Vatsala KhuranaWilliam Harvey Research Institute, Queen Mary University of London, London, UK.
Aruni GhoseDepartment of Medical Oncology, Barts Cancer Centre, St Bartholomew's Hospital, Barts Health NHS Trust, London, UK.
Adheesh GhoshUCL Cancer Institute, University College London, London, UK.
Ishika MahajanDepartment of Oncology, Lincoln Oncology Centre, Lincoln County Hospital, United Lincolnshire Hospitals NHS Trust, Lincoln, UK.
Stergios BoussiosDepartment of Medical Oncology, Medway NHS Foundation Trust, Gillingham, Kent, UK. stergiosboussios@gmail.com.ORCID http://orcid.org/0000-0002-2512-6131
Akash ManiamDepartment of Medical Oncology, Portsmouth Hospitals University NHS Trust, Portsmouth, UK.
Olubukola AyodeleDepartment of Medical Oncology, University Hospitals of Leicester NHS Trust, Leicester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole-genome sequencing (WGS) and whole-exome sequencing (WES) are crucial within the context of breast cancer (BC) research. They play a role in the detection of predisposed genes, risk stratification, and identification of rare single nucleotide polymorphisms (SNPs). These technologies aid in the discovery of associations between various syndromes and BC, understanding the tumour microenvironment (TME), and even identifying unknown mutations that could be useful in future for personalised treatments. Genetic analysis can find the associated risk of BC and can be used in early screening, diagnosis, specific treatment plans, and prevention in patients who are at high risk of tumour formation. This article focuses on the application of WES and WGS, and how uncovering novel candidate genes associated with BC can aid in treating and preventing BC.

Indexed as

Breast NeoplasmsExome SequencingGenetic Predisposition to DiseaseWhole Genome SequencingFemaleHumansMutationPolymorphism, Single NucleotideTumor MicroenvironmentBreast cancerExomeGenomeSequencingWhole-exome sequencingWhole-genome sequencing

Identifiers

PMID39190283
PMCPMC11489287

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.