Evidence map›Paper›PMID 29980240›Full record

ArticleJournal of experimental & clinical cancer research : CR2018

Endometrial cancer prognosis correlates with the expression of L1CAM and miR34a biomarkers.

Giacomo Corrado, Valentina Laquintana, Rossella Loria, Mariantonia Carosi, Laura de Salvo, Isabella Sperduti, Ashanti Zampa, Lucia Cicchillitti, Giulia Piaggio, Giuseppe Cutillo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of experimental & clinical cancer research : CR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 50 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

12 authors at 1 institution in 1 country.

Giacomo CorradoDepartment of Experimental Clinical Oncology, Gynecologic Oncology Unit, IRCCS - Regina Elena National Cancer Institute, Via Elio chianesi, 53 -, 00144, Rome, Italy. giacomo.corrado@alice.it.
Valentina LaquintanaDepartment of Research, Advanced Diagnostics and Technological Innovation, Area of Translational Research, IRCCS - Regina Elena National Cancer Institute, Rome, Italy.
Rossella LoriaDepartment of Research, Advanced Diagnostics and Technological Innovation, Area of Translational Research, IRCCS - Regina Elena National Cancer Institute, Rome, Italy.
Mariantonia CarosiDepartment of Research, Advanced Diagnostics and Technological Innovation, Anatomy Pathology Unit, IRCCS - Regina Elena National Cancer Institute, Rome, Italy.
Laura de SalvoDepartment of Research, Advanced Diagnostics and Technological Innovation, Anatomy Pathology Unit, IRCCS - Regina Elena National Cancer Institute, Rome, Italy.
Isabella SperdutiScientific Direction, IRCCS - Regina Elena National Cancer Institute, Rome, Italy.
Ashanti ZampaDepartment of Experimental Clinical Oncology, Gynecologic Oncology Unit, IRCCS - Regina Elena National Cancer Institute, Via Elio chianesi, 53 -, 00144, Rome, Italy.
Lucia CicchillittiDepartment of Research, Advanced Diagnostics and Technological Innovation, Area of Translational Research, IRCCS - Regina Elena National Cancer Institute, Rome, Italy.
Giulia PiaggioDepartment of Research, Advanced Diagnostics and Technological Innovation, Area of Translational Research, IRCCS - Regina Elena National Cancer Institute, Rome, Italy.
Giuseppe CutilloDepartment of Experimental Clinical Oncology, Gynecologic Oncology Unit, IRCCS - Regina Elena National Cancer Institute, Via Elio chianesi, 53 -, 00144, Rome, Italy.
Rita FalcioniDepartment of Research, Advanced Diagnostics and Technological Innovation, Area of Translational Research, IRCCS - Regina Elena National Cancer Institute, Rome, Italy.
Enrico VizzaDepartment of Experimental Clinical Oncology, Gynecologic Oncology Unit, IRCCS - Regina Elena National Cancer Institute, Via Elio chianesi, 53 -, 00144, Rome, Italy.
Istituti di Ricovero e Cura a Carattere Scientifico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with endometrial cancer (EC) and presumably with good prognosis may develop a recurrence indicating that the classification of this tumor is still not definitive and that new markers are needed to identify a subgroup at risk of relapse. The cell adhesion molecule L1CAM is highly expressed in several human carcinomas and has recently been described as a new marker for endometrial and ovarian carcinomas. The aim of this study was to determine the relevance of L1CAM in recurrent EC.

methodsIn this work we have analyzed, by immunohistochemical and RT-qPCR analysis, the expression of L1CAM in a cohort of 113 endometrial cancers at different stages, which 50% have relapsed. As a predictor of good outcome, the tumors were also analyzed for the expression of miR-34a, a post-transcriptional regulator of L1CAM.

resultsAmong metastatic EC, the highest levels (60%) and the median level (24%) of L1CAM in tumors correlate with the progression, suggesting that the expression of this molecule is linked to the tumor component most involved in metastatic processes. We also found an inverse correlation between miR-34a and L1CAM protein expression, suggesting that miR-34a is a positive prognostic marker of EC.

conclusionsOur results demonstrate the expression of L1CAM and miR-34a in EC as prognostic factors that identify subgroup of patients at high risk of recurrence suggesting for them more aggressive schedules of treatment.

Indexed as

Biomarkers, TumorGene Expression Regulation, NeoplasticAdultAgedAged, 80 and overCombined Modality TherapyEndometrial NeoplasmsFemaleHumansMicroRNAsMiddle AgedNeoplasm GradingNeoplasm StagingNeural Cell Adhesion Molecule L1PrognosisRecurrenceBiomarkers, TumorMicroRNAsMIRN34 microRNA, humanNeural Cell Adhesion Molecule L1Endometrial cancerInnovative biotechnologyL1CAMPersonalised approachPrognostic biomarker

Identifiers

PMID29980240
PMCPMC6035393
OpenAlexW2819186165

What OpenQuestion holds

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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.