Evidence map›Paper›PMID 36359573›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Precision Medicine in Breast Cancer: Do MRI Biomarkers Identify Patients Who Truly Benefit from the Oncotype DX Recurrence Score

Francesca Galati, Valentina Magri, Giuliana Moffa, Veronica Rizzo, Andrea Botticelli, Enrico Cortesi, Federica Pediconi

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 45% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

7 authors at 1 institution in 1 country.

Francesca GalatiDepartment of Radiological, Oncological and Pathological Sciences, Sapienza-University of Rome, 00161 Rome, Italy.ORCID 0000-0003-2103-2856
Valentina MagriDepartment of Radiological, Oncological and Pathological Sciences, Sapienza-University of Rome, 00161 Rome, Italy.ORCID 0000-0001-7312-2904
Giuliana MoffaDepartment of Radiological, Oncological and Pathological Sciences, Sapienza-University of Rome, 00161 Rome, Italy.ORCID 0000-0002-6595-1611
Veronica RizzoDepartment of Radiological, Oncological and Pathological Sciences, Sapienza-University of Rome, 00161 Rome, Italy.ORCID 0000-0003-1781-3174
Andrea BotticelliDepartment of Radiological, Oncological and Pathological Sciences, Sapienza-University of Rome, 00161 Rome, Italy.
Enrico CortesiDepartment of Radiological, Oncological and Pathological Sciences, Sapienza-University of Rome, 00161 Rome, Italy.
Federica PediconiDepartment of Radiological, Oncological and Pathological Sciences, Sapienza-University of Rome, 00161 Rome, Italy.ORCID 0000-0002-1432-2137
Sapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to combine breast MRI-derived biomarkers with clinical-pathological parameters to identify patients who truly need an Oncotype DX Breast Recurrence Score® (ODXRS) genomic assay, currently used to predict the benefit of adjuvant chemotherapy in ER-positive/HER2-negative early breast cancer, with the ultimate goal of customizing therapeutic decisions while reducing healthcare costs. Patients who underwent a preoperative multiparametric MRI of the breast and ODXRS tumor profiling were retrospectively included in this study. Imaging sets were evaluated independently by two breast radiologists and classified according to the 2013 American College of Radiology Breast Imaging Reporting and Data System (ACR BI-RADS) lexicon. In a second step of the study, a combined oncologic and radiologic assessment based on clinical-pathological and radiological data was performed, in order to identify patients who may need adjuvant chemotherapy. Results were correlated with risk levels expressed by ODXRS, using the decision made on the basis of the ODXRS test as a gold standard. The χ2 test was used to evaluate associations between categorical variables, and significant ones were further investigated using logistic regression analyses. A total of 58 luminal-like, early-stage breast cancers were included. A positive correlation was found between ODXRS and tumor size (p = 0.003), staging (p = 0.001) and grading (p = 0.005), and between BI-RADS categories and ODXRS (p < 0.05 for both readers), the latter being confirmed at multivariate regression analysis. Moreover, BI-RADS categories proved to be positive predictors of the therapeutic decision taken after performing an ODXRS assay. A statistically significant association was also found between the therapeutic decision based on the ODXRS and the results of combined onco-radiologic assessment (p < 0.001). Our study suggests that there is a correlation between BI-RADS categories at MRI and ODXRS and that a combined onco-radiological assessment may predict the decision made on the basis of the results of ODXRS genomic test.

Indexed as

adjuvant therapyearly breast cancergenomic assaysMRI biomarkersmultiparametric MRIoncotype DX recurrence score

Identifiers

PMID36359573
PMCPMC9689656
OpenAlexW4308575949

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.