Evidence map›Paper›PMID 38656833›Full record

ReviewClinical cancer research : an official journal of the American Association for Cancer Research2024

Gene Expression Assays to Tailor Adjuvant Endocrine Therapy for HR+/HER2- Breast Cancer.

Michele Bottosso, Federica Miglietta, Grazia Maria Vernaci, Tommaso Giarratano, Maria Vittoria Dieci, Valentina Guarneri, Gaia Griguolo

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical cancer research : an official journal of the American Association for Cancer Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

13 citing papers in PubMed, 11 citations in OpenAlex.

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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 2 institutions in 1 country.

Michele BottossoDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.ORCID 0000-0002-8098-1819
Federica MigliettaDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.ORCID 0000-0001-6203-874X
Grazia Maria VernaciDivision of Oncology 2, Istituto Oncologico Veneto IRCCS, Padova, Italy.ORCID 0000-0003-4401-7579
Tommaso GiarratanoDivision of Oncology 2, Istituto Oncologico Veneto IRCCS, Padova, Italy.ORCID 0000-0002-6746-8877
Maria Vittoria DieciDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.ORCID 0000-0002-3967-9861
Valentina GuarneriDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.ORCID 0000-0002-2375-8397
Gaia GriguoloDepartment of Surgery, Oncology and Gastroenterology, University of Padova, Padova, Italy.ORCID 0000-0002-8782-4509
University of Padua · ITIstituto Oncologico Veneto · IT

Funding

Istituto Oncologico Veneto (IOV) Ricerca Corrente fundingUniversità degli Studi di Padova (UNIPD) DOR funding
6 · The paper itself

Abstract

Adjuvant endocrine therapy (ET) represents the standard of care for almost all hormone receptor (HR)+/HER2- breast cancers, and different agents and durations are currently available. In this context, the tailoring and optimization of adjuvant endocrine treatment by reducing unnecessary toxic treatment while taking into account the biological heterogeneity of HR+/HER2- breast cancer represents a clinical priority. There is therefore a significant need for the integration of biological biomarkers in the choice of adjuvant ET beyond currently used clinicopathological characteristics. Several gene expression assays have been developed to identify patients with HR+/HER2- breast cancer who will not derive benefit from the addition of adjuvant chemotherapy. By enhancing risk stratification and predicting therapeutic response, genomic assays have also shown to be a promising tool for optimizing endocrine treatment decisions. In this study, we review evidence supporting the use of most common commercially available gene expression assays [Oncotype DX, MammaPrint, Breast Cancer Index (BCI), Prosigna, and EndoPredict] in tailoring adjuvant ET. Available data on the use of genomic tests to inform extended adjuvant treatment choice based on the risk of late relapse and on the estimated benefit of a prolonged ET are discussed. Moreover, preliminary evidence regarding the use of genomic assays to inform de-escalation of endocrine treatment, such as shorter durations or omission, for low-risk patients is reviewed. Overall, gene expression assays are emerging as potential tools to further personalize adjuvant treatment for patients with HR+/HER2- breast cancers.

Indexed as

Antineoplastic Agents, HormonalBiomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesChemotherapy, AdjuvantFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPrecision MedicineReceptors, EstrogenReceptors, ProgesteroneAntineoplastic Agents, HormonalBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID38656833
PMCPMC11247313
OpenAlexW4395070959

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.