Evidence map›Paper›PMID 28187209›Full record

ArticlePloS one2017

A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients.

Irene Terrenato, Valerio D'Alicandro, Beatrice Casini, Letizia Perracchio, Francesca Rollo, Laura De Salvo, Simona Di Filippo, Franco Di Filippo, Edoardo Pescarmona, Marcello Maugeri-Saccà and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. 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
0.4field-weighted citation impact, top 41% 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

11 citing papers in PubMed, 15 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.

Irene TerrenatoBiostatistics Unit, Regina Elena National Cancer Institute, Rome, Italy.
Valerio D'AlicandroDepartment of Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Beatrice CasiniDepartment of Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Letizia PerracchioDepartment of Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Francesca RolloDepartment of Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Laura De SalvoDepartment of Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Simona Di FilippoDepartment of Surgery, Regina Elena National Cancer Institute, Rome, Italy.
Franco Di FilippoDepartment of Surgery, Regina Elena National Cancer Institute, Rome, Italy.
Edoardo PescarmonaDepartment of Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Marcello Maugeri-SaccàDivision of Medical Oncology B, Regina Elena National Cancer Institute, Rome, Italy.
Marcella MottoleseDepartment of Pathology, Regina Elena National Cancer Institute, Rome, Italy.
Simonetta BuglioniDepartment of Pathology, Regina Elena National Cancer Institute, Rome, Italy.ORCID http://orcid.org/0000-0001-7913-7023

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2007, one-step nucleic acid amplification (OSNA) has been used as a diagnostic system for sentinel lymph node (SLN) examination in patients with breast cancer. This study aimed to define a new clinical cut-off of CK19 mRNA copy number based on the calculation of the risk that an axillary lymph node dissection (ALND) will be positive. We analyzed 1529 SLNs from 1140 patients with the OSNA assay and 318 patients with positive SLNs for micrometastasis (250 copies) and macrometastasis (5000 copies) underwent ALND. Axillary non-SLNs were routinely examined. ROC curves and Youden's index were performed in order to identify a new cut-off value. Logistic regression models were performed in order to compare OSNA categorical variables created on the basis of our and traditional cut-off to better identify patients who really need an axillary dissection. 69% and 31% of OSNA positive patients had a negative and positive ALND, respectively. ROC analysis identified a cut-off of 2150 CK19 mRNA copies with 95% sensitivity and 51% specificity. Positive and negative predictive values of this new cut-off were 47% and 96%, respectively. Logistic regression models indicated that the cut-off of 2150 copies better discriminates patients with node negative or positive in comparison with the conventional OSNA cut-off (p<0.0001). This cut-off identifies false positive and false negative cases and true-positive and true negative cases very efficiently, and therefore better identifies which patients really need an ALND and which patients can avoid one. This is why we suggest that the negative cut-off should be raised from 250 to 2150. Furthermore, we propose that for patients with a copy number that ranges between 2150 and 5000, there should be a multidisciplinary discussion concerning the clinical and bio-morphological features of primary breast cancer before any decision is taken on whether to perform an ALND or not.

Indexed as

Biomarkers, TumorBreast NeoplasmsFemaleHumansKeratin-19Lymphatic MetastasisMolecular Diagnostic TechniquesPredictive Value of TestsRNA, MessengerSentinel Lymph NodeBiomarkers, TumorKeratin-19RNA, Messenger

Identifiers

PMID28187209
PMCPMC5302783
OpenAlexW2586773019

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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.