Evidence map›Paper›PMID 40806432›Full record

ReviewInternational journal of molecular sciences2025

Genomic Predictive Biomarkers in Breast Cancer: The

Kate Beecher, Tivya Kulasegaran, Sunil R Lakhani, Amy E McCart Reed

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. 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. Article
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

4 authors.

Kate BeecherUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane 4029, Australia.ORCID 0000-0001-7462-1158
Tivya KulasegaranUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane 4029, Australia.
Sunil R LakhaniUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane 4029, Australia.ORCID 0000-0003-4067-2760
Amy E McCart ReedUQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane 4029, Australia.ORCID 0000-0001-5387-2791

Funding

Breast Cancer Trials FellowshipMedical Research Futures Fund GHFMCDI00001National Breast Cancer Foundation 2023/IIRS024
6 · The paper itself

Abstract

Precision oncology, also known as personalized oncology or precision medicine, is the tailoring of cancer treatment to individual patients based on the specific genetic, molecular, and other unique characteristics of their tumor. The goal of precision oncology is to optimize the effectiveness of cancer treatment while minimizing toxicities and improving patient outcomes. Precision oncology recognizes that cancer is a highly heterogeneous disease and that each patient's tumor has a distinct genetic diversity. Precision medicine individualizes therapy by using information from a patient's tumor in the context of clinical history to determine optimal therapeutic approaches and increasing numbers of drugs target specific tumor alterations. Several targeted therapies with approved companion diagnostics are commercially available, the

Indexed as

Biomarkers, TumorBreast NeoplasmsGenomicsPrecision MedicineFemaleHumansMolecular Targeted TherapyBiomarkers, Tumorbiomarkersbreast cancergenomic

Identifiers

PMID40806432
PMCPMC12347907

What OpenQuestion holds

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LicenceCC BY
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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.