Evidence map›Paper›PMID 38265569›Full record

ArticleBreast cancer research and treatment2024

Real-world use of multigene signatures in early breast cancer: differences to clinical trials.

Luca Licata, Rita De Sanctis, Andrea Vingiani, Deborah Cosentini, Monica Iorfida, Elena Rota Caremoli, Isabella Sassi, Bethania Fernandes, Andrea Gianatti, Elena Guerini-Rocco and 8 more

Abstract read
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Article in Breast cancer research and treatment, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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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

18 authors.

Luca Licata *Department of Medical Oncology, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy. licata.luca@hsr.it.ORCID http://orcid.org/0000-0002-0331-3585
Rita De Sanctis *Department of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Andrea VingianiDeparment of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy.
Deborah CosentiniMedical Oncology Unit, ASST Spedali Civili of Brescia, Brescia, Italy.
Monica IorfidaDivision of Medical Senology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Elena Rota CaremoliOncology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy.
Isabella SassiPathology Unit, IRCCS Ospedale San Raffaele, Milan, Italy.
Bethania FernandesDepartment of Pathology, IRCCS - Humanitas Research Hospital, Rozzano - Milan, Italy.
Andrea GianattiDepartment of Pathology, ASST Papa Giovanni XXIII, Bergamo, Italy.
Elena Guerini-RoccoDivision of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Claudia ZambelliPathology Unit, ASST Spedali Civili of Brescia, Brescia, Italy.
Elisabetta MunzoneDivision of Medical Senology, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Edda Lucia SimonciniSSVD Breast Unit, ASST Spedali Civili of Brescia, Brescia, Italy.
Carlo TondiniOncology Unit, ASST Papa Giovanni XXIII, Bergamo, Italy.
Oreste Davide GentiliniSchool of Medicine and Surgery, Vita-Salute San Raffaele University, Milan, Italy.
Alberto ZambelliDepartment of Biomedical Sciences, Humanitas University, Pieve Emanuele, Italy.
Giancarlo PruneriDeparment of Pathology and Laboratory Medicine, Fondazione IRCCS Istituto Nazionale Dei Tumori, Milan, Italy.
Giampaolo BianchiniDepartment of Medical Oncology, IRCCS Ospedale San Raffaele, Via Olgettina 60, 20132, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn Italy, Lombardy was the first region to reimburse multigene assays (MGAs) for patients otherwise candidates for chemotherapy. This is a real-world experience of MGAs usage in six referral cancer centers in Lombardy.

methodsAmong MGAs, Oncotype DX (RS) was used in 97% of cases. Consecutive patients tested with Oncotype DX from July 2020 to July 2022 were selected. The distribution of clinicopathologic features by RS groups (low RS: 0-25, high RS: 26-100) was assessed using chi-square and compared with those of the TAILORx and RxPONDER trials.

resultsOut of 1,098 patients identified, 73% had low RS. Grade and Ki67 were associated with RS (p < 0.001). In patients with both G3 and Ki67 > 30%, 39% had low RS, while in patients with both G1 and Ki67 < 20%, 7% had high RS. The proportion of low RS in node-positive patients was similar to that in RxPONDER (82% vs 83%), while node-negative patients with low RS were significantly less than in TAILORx (66% vs 86%, p < 0.001). The distribution of Grade was different from registration trials, with more G3 and fewer G1 (38% and 3%) than in TAILORx (18% and 27%) and RxPONDER (10% and 24%) (p < 0.001). Patients ≤ 50 years were overrepresented in this series (41%) than in TAILORx and RxPONDER (31% and 24%, respectively) (p < 0.001) and, among them, 42% were node positive.

conclusionsIn this real-world series, Oncotype DX was the test almost exclusively used. Despite reimbursement being linked to pre-test chemotherapy recommendation, almost 3/4 patients resulted in the low-RS group. The significant proportion of node-positive patients ≤ 50 years tested indicates that oncologists considered Oncotype DX informative also in this population.

Indexed as

Biomarkers, TumorBreast NeoplasmsAdultAgedClinical Trials as TopicFemaleGene Expression ProfilingHumansItalyKi-67 AntigenMiddle AgedNeoplasm GradingBiomarkers, TumorKi-67 AntigenAdjuvant therapyER+/HER2− early breast cancerMultigene assaysOncotype DX

Identifiers

PMID38265569
PMCPMC11062950

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.