Evidence map›Paper›PMID 34209415›Full record

ArticleCancers2021

Predictive and Prognostic Value of BRAF and NRAS Mutation of 159 Sentinel Lymph Node Cases in Melanoma-A Retrospective Single-Institute Study.

Gabriella Liszkay, Zoltán Mátrai, Kata Czirbesz, Nóra Jani, Eszter Bencze, István Kenessey

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. 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
0.5field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 8 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

6 authors at 2 institutions in 1 country.

Gabriella LiszkayDepartment of Dermato-Oncology, National Institute of Oncology, 1122 Budapest, Hungary.ORCID 0000-0001-6161-2033
Zoltán MátraiDepartment of Breast and Sarcoma Surgery, National Institute of Oncology, 1122 Budapest, Hungary.
Kata CzirbeszDepartment of Dermato-Oncology, National Institute of Oncology, 1122 Budapest, Hungary.
Nóra JaniDepartment of Surgical and Molecular Pathology, National Institute of Oncology, 1122 Budapest, Hungary.
Eszter BenczeDepartment of Surgical and Molecular Pathology, National Institute of Oncology, 1122 Budapest, Hungary.
István KenesseyNational Cancer Registry, National Institute of Oncology, 1122 Budapest, Hungary.
National Institute of Oncology · HUSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the prognostic role of sentinel lymph node status (SLN) in melanoma patients, a statistical comparison was performed with the application of already known prognostic factors, mutational occurrence of BRAF and NRAS in the primary tumor, as well as disease outcome.

methodsOur retrospective single-center study involved 159 melanoma cases, who underwent SLN biopsy. The following clinico-pathological data were collected: age, gender, location of primary tumor, Breslow thickness, ulceration degree, histological subtype, mitosis count, lymphovascular and perineural invasion, presence of tumor-infiltrating lymphocytes, regression signs, mutations of BRAF and NRAS of the primary tumors, and SLN status.

resultsFrom the studied clinico-pathological factors, only Breslow thickness increased the risk of SLN positivity (

conclusionSimilarly to the importance of SLN positivity, NRAS mutation of the primary tumor proved to be an independent prognostic factor of progression. Therefore, despite negative SLN, this NRAS-mutant subgroup of patients still requires closer monitoring to detect disease progression.

Indexed as

BRAFmelanomaNRASprogressionsentinel lymph node

Identifiers

PMID34209415
PMCPMC8268142
OpenAlexW3174257450

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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.