Evidence map›Paper›PMID 33671468›Full record

ReviewGenes2021

Molecular Biomarkers for Contemporary Therapies in Hormone Receptor-Positive Breast Cancer.

Allegra Freelander, Lauren J Brown, Andrew Parker, Davendra Segara, Neil Portman, Brandon Lau, Elgene Lim

Open access · goldAbstract readReview
In one paragraph

Review in Genes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
6.6field-weighted citation impact, top 2% of its field
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

20 citing papers in PubMed, 48 citations in OpenAlex.

  1. Trial
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  8. Epigenetics · 2024
    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

7 authors at 1 institution in 1 country.

Allegra FreelanderGarvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia.ORCID 0000-0003-4213-6451
Lauren J BrownGarvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia.
Andrew ParkerGarvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia.
Davendra SegaraGarvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia.
Neil PortmanGarvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia.
Brandon LauGarvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia.
Elgene LimGarvan Institute of Medical Research, Darlinghurst, NSW 2010, Australia.ORCID 0000-0001-8065-8838
Garvan Institute of Medical Research · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic treatment of hormone receptor-positive (HR+) breast cancer is undergoing a renaissance, with a number of targeted therapies including CDK4/6, mTOR, and PI3K inhibitors now approved for use in combination with endocrine therapies. The increased use of targeted therapies has changed the natural history of HR+ breast cancers, with the emergence of new escape mechanisms leading to the inevitable progression of disease in patients with advanced cancers. The identification of new predictive and pharmacodynamic biomarkers to current standard-of-care therapies and discovery of new therapies is an evolving and urgent clinical challenge in this setting. While traditional, routinely measured biomarkers such as estrogen receptors (ERs), progesterone receptors (PRs), and human epidermal growth factor receptor 2 (HER2) still represent the best prognostic and predictive biomarkers for HR+ breast cancer, a significant proportion of patients either do not respond to endocrine therapy or develop endocrine resistant disease. Genomic tests have emerged as a useful adjunct prognostication tool and guide the addition of chemotherapy to endocrine therapy. In the treatment-resistant setting, mutational profiling has been used to identify

Indexed as

Biomarkers, TumorBreast NeoplasmsClass I Phosphatidylinositol 3-KinasesErb-b2 Receptor Tyrosine KinasesEstrogen Receptor alphaFemaleHormonesHumansNeoplasm MetastasisOncogene Protein v-aktPrognosisReceptors, EstrogenReceptors, ProgesteroneBiomarkers, TumorClass I Phosphatidylinositol 3-KinasesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesESR1 protein, humanEstrogen Receptor alphaHormonesOncogene Protein v-aktPIK3CA protein, humanReceptors, EstrogenReceptors, Progesteronebiomarkersbreast cancerestrogen receptorpharmacodynamicpredictiveprognostic

Identifiers

PMID33671468
PMCPMC7922594
OpenAlexW3132714815

What OpenQuestion 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 OpenQuestion graph.