Evidence map›Paper›PMID 33122354›Full record

ArticleESMO open2020

MiR-100 is a predictor of endocrine responsiveness and prognosis in patients with operable luminal breast cancer.

Annalisa Petrelli, Sara Erika Bellomo, Ivana Sarotto, Franziska Kubatzki, Paola Sgandurra, Furio Maggiorotto, Maria Rosaria Di Virgilio, Riccardo Ponzone, Elena Geuna, Danilo Galizia and 10 more

Abstract read
In one paragraph

Article in ESMO open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

20 authors.

Annalisa PetrelliCancer Molecular Biology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Sara Erika BellomoDepartment of Oncology, University of Turin, Torino, Italy.
Ivana SarottoPathology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Franziska KubatzkiGynaecological Oncology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Paola SgandurraGynaecological Oncology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Furio MaggiorottoGynaecological Oncology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Maria Rosaria Di VirgilioRadiology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Riccardo PonzoneGynaecological Oncology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Elena GeunaMultidisciplinary Outpatient Oncology Clinic, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Danilo GaliziaMultidisciplinary Outpatient Oncology Clinic, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Anna Maria NuzzoClinical Research Office, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Enzo MedicoDepartment of Oncology, University of Turin, Torino, Italy; Oncogenomics Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Umberto MiglioPathology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Enrico BerrinoPathology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy; Department of Medical Sciences, University of Turin, Torino, Italy.
Tiziana VenesioPathology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Salvatore RibisiCancer Molecular Biology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.
Paolo ProveroDepartment of Molecular Biotechnology and Health Sciences, University of Turin, Torino, Italy; Center for Omics Sciences, IRCCS San Raffaele Scientific Institute, Milano, Italy.
Anna SapinoPathology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy; Department of Medical Sciences, University of Turin, Torino, Italy.
Silvia GiordanoCancer Molecular Biology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy; Department of Oncology, University of Turin, Torino, Italy.
Filippo MontemurroMultidisciplinary Outpatient Oncology Clinic, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy. Electronic address: filippo.montemurro@ircc.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOverexpression of miR-100 in stem cells derived from basal-like breast cancers causes loss of stemness, induction of luminal breast cancer markers and response to endocrine therapy. We, therefore, explored miR-100 as a novel biomarker in patients with luminal breast cancer.

methodsmiR-100 expression was studied in 90 patients with oestrogen-receptor-positive/human-epidermal growth factor receptor 2-negative breast cancer enrolled in a prospective study of endocrine therapy given either preoperatively, or for the treatment of de novo metastatic disease. Response was defined as a Ki67 ≤2.7% after 21±3 days of treatment. The prognostic role of miR-100 expression was evaluated in the Molecular Taxonomy of Breast Cancer International Consortium (METABRIC) and The Cancer Genome Atlas (TCGA) breast cancer datasets. Additionally, we explored the correlation between miR-100 and the expression its targets reported as being associated with endocrine resistance. Finally, we evaluated whether a signature based on miR-100 and its target genes could predict the luminal A molecular subtype.

resultsBaseline miR-100 was significantly anticorrelated with baseline and post-treatment Ki67 (p<0.001 and 0.004, respectively), and independently associated with response to treatment (OR 3.329, p=0.047). In the METABRIC dataset, high expression of miR-100 identified women with luminal A tumours treated with adjuvant endocrine therapy with improved overall survival (HR 0.55, p<0.001). miR-100 was negatively correlated with PLK1, FOXA1, mTOR and IGF1R expression, potentially explaining its prognostic effect. Finally, a miR-100-based signature developed in patients enrolled in the prospective study outperformed Ki67 alone in predicting the luminal A phenotype.

conclusionsOur findings suggest that miR-100 should be further explored as a biomarker in patients with luminal breast cancer.

Indexed as

Breast NeoplasmsMicroRNAsFemaleHepatocyte Nuclear Factor 3-alphaHumansPrognosisProspective StudiesHepatocyte Nuclear Factor 3-alphaMicroRNAsMIRN100 microRNA, humanendocrine therapyluminal breast cancermiR-100prognosisresponse prediction

Identifiers

PMID33122354
PMCPMC7597498

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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.