Evidence map›Paper›PMID 36498560›Full record

ArticleJournal of clinical medicine2022

Expression of c-MET in Estrogen Receptor Positive and HER2 Negative Resected Breast Cancer Correlated with a Poor Prognosis.

Francesco Iovino, Anna Diana, Francesca Carlino, Franca Ferraraccio, Giuliano Antoniol, Francesca Fisone, Alessandra Perrone, Federica Zito Marino, Iacopo Panarese, Madhura S Tathode and 8 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. 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
1.4field-weighted citation impact, top 17% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Bioactive Products Targeting C-Met As Potential Antitumour Drugs.Anti-cancer agents in medicinal chemistry · 2025
    Review
  7. Article
  8. Article
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  10. Article
  11. The Impact of the Coexpression ofThe breast journal · 2024
    Article
  12. Review
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 at 2 institutions in 2 countries.

Francesco IovinoDepartment of Translational Medical Science, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Anna DianaDepartment of Precision Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Francesca CarlinoDepartment of Precision Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Franca FerraraccioDepartment of Mental and Physical Health and Preventive Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Giuliano AntoniolDépartment de Génie Informatique et Génie Logiciel-Polytechnique Montréal, 2500, Chemin de Polytechnique Montreal, Montreal, QC H3T 1J4, Canada.
Francesca FisoneDepartment of Translational Medical Science, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Alessandra PerroneDepartment of Precision Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Federica Zito MarinoDepartment of Mental and Physical Health and Preventive Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Iacopo PanareseDepartment of Mental and Physical Health and Preventive Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Madhura S TathodeDepartment of Precision Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Michele CaragliaDepartment of Precision Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.ORCID 0000-0003-2408-6091
Gianluca GattaDepartment of Precision Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.ORCID 0000-0003-0874-8294
Roberto RuggieroDepartment of Advanced Medical and Surgical Sciences, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Simona ParisiDepartment of Advanced Medical and Surgical Sciences, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Ferdinando De VitaDepartment of Precision Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Fortunato CiardielloDepartment of Precision Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Ludovico DocimoDepartment of Advanced Medical and Surgical Sciences, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
Michele OrdituraDepartment of Precision Medicine, School of Medicine, University of Campania Luigi Vanvitelli, 80131 Naples, Italy.
University of Campania "Luigi Vanvitelli" · ITPolytechnique Montréal · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The mesenchymal-epithelial transition factor (c-MET) receptor is overexpressed in about 14−54% of invasive breast cancers, but its prognostic value in clinical practice is still unclear. Methods: In order to investigate the relationship between c-MET expression levels and prognosis, we retrospectively reviewed the clinical features and outcomes of 105 women with estrogen receptor positive HER2 negative (ER+/HER2-) resected breast cancer. We used the Kaplan Meier method to estimate Disease Free Survival (DFS) and Breast Cancer Specific Survival (BCSS) in the subgroups of patients with high (≥50%) and low (<50%) c-MET expression. Univariate and multivariate Cox proportional regression models were performed to assess the prognostic impact of clinicopathological parameters for DFS an BCSS. Results: High c-MET values significantly correlated with tumor size, high Ki67 and low (<20%) progesterone receptor expression. At a median follow up of 60 months, patients with high c-MET tumor had significantly worse (p = 0.00026) and BCSS (p = 0.0013). Univariate analysis showed a significant association between large tumor size, elevated Ki67, c-MET values and increased risk of recurrence or death. The multivariate COX regression model showed that tumor size and high c-MET expression were independent predictors of DFS (p = 0.019 and p = 0.022). Moreover, large tumor size was associated with significantly higher risk of cancer related death at multivariate analysis (p = 0.017), while a trend towards a poorer survival was registered in the high c-MET levels cohort (p = 0.084). Conclusions: In our series, high c-MET expression correlated with poor survival outcomes. Further studies are warranted to validate the clinical relevance and applicability of c-MET as a prognostic factor in ER+/HER2- early BC.

Indexed as

biomarkersc-METearly breast cancerhepatocyte growth factor receptor

Identifiers

PMID36498560
PMCPMC9738605
OpenAlexW4310184950

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.