Evidence map›Paper›PMID 37004700›Full record

ReviewCurrent oncology reports2023

Advances in Endocrine Therapy for Hormone Receptor-Positive Advanced Breast Cancer.

Sharvina Ziyeh, Lauren Wong, Reva K Basho

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current oncology reports, 2023. 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
4.1field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
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  10. Axillary lymph node removal inGland surgery · 2024
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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

3 authors at 1 institution in 1 country.

Sharvina ZiyehUCLA Olive View Medical Center, Los Angeles, USA.
Lauren WongCedars-Sinai Medical Center, Los Angeles, USA.
Reva K BashoCedars-Sinai Medical Center, Los Angeles, USA. rbasho@eitm.org.ORCID 0000-0002-4132-7523
Cedars-Sinai Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewTo provide an overview of the current management of hormone receptor-positive (HR +) advanced breast cancer as well as highlight ongoing clinical investigation and novel therapies in development. RECENT

findingsCDK4/6 inhibition plus endocrine therapy is standard front-line therapy for HR + advanced breast cancer. Continuation of CDK4/6 inhibitors in combination with alternative endocrine therapy has been evaluated in the second-line setting. Alternatively, endocrine therapy in combination with PI3K/AKT pathway targeting agents has been studied, particularly in patients with PI3K pathway alterations. The oral SERD elacestrant has also been evaluated in patients with ESR1 mutation. Many novel endocrine agents and targeted agents are in development. An improved understanding of combination therapies and sequencing of therapies is needed to optimize the treatment paradigm. Biomarker development is needed to guide treatment decisions. Advances in the treatment of HR + breast cancer have resulted in improved patient outcomes in recent years. Continued development efforts with identification of biomarkers to better understand response and resistance to therapy are needed.

Indexed as

Antineoplastic AgentsBreast NeoplasmsCombined Modality TherapyErb-b2 Receptor Tyrosine KinasesFemaleHumansPhosphatidylinositol 3-KinasesAntineoplastic AgentsErb-b2 Receptor Tyrosine KinasesPhosphatidylinositol 3-KinasesAKT inhibitionCDK4/6 inhibitionCERANsEndocrine therapyHER2 negative breast cancerHormone receptor-positive breast cancerPI3K inhibitionPIK3CA mutationPROTACsSARMsSERCAsSERDsSERMs

Identifiers

PMID37004700
OpenAlexW4362506216

What OpenQuestion holds

Textmetadata
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.