Evidence map›Paper›PMID 31803364›Full record

ArticleOncotarget2019

Tumor tissue hnRNP M and HSP 90α as potential predictors of disease-specific mortality in patients with early-stage cutaneous head and neck melanoma: A proteomics-based study.

Andro Košec, Ruđer Novak, Paško Konjevoda, Vladimir Trkulja, Vladimir Bedeković, Lovorka Grgurević

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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.

Andro KošecDepartment of Otorhinolaryngology and Head and Neck Surgery, University Hospital Centre Sestre Milosrdnice, Zagreb, Croatia.
Ruđer NovakDepartment for Proteomics, Center for Translational and Clinical Research, School of Medicine, University of Zagreb, Zagreb, Croatia.
Paško KonjevodaDivision of Molecular Medicine, Laboratory for Epigenomics, Rudjer Boskovic Institute, Zagreb, Croatia.
Vladimir TrkuljaDepartment of Pharmacology, School of Medicine, University of Zagreb, Zagreb, Croatia.
Vladimir BedekovićDepartment of Otorhinolaryngology and Head and Neck Surgery, University Hospital Centre Sestre Milosrdnice, Zagreb, Croatia.
Lovorka GrgurevićDepartment for Proteomics, Center for Translational and Clinical Research, School of Medicine, University of Zagreb, Zagreb, Croatia.
University of Zagreb · HRRudjer Boskovic Institute · HR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreslow tumor thickness and mitotic rate are standardly used for risk stratification of patients with malignant melanoma. However, their prognostic value is relatively limited and a need for improved prognostication has been advocated. We aimed to screen the tumor tissue proteome in a search for potentially useful prognostic factors in early-stage cutaneous head and neck melanoma. METHODOLOGY AND

findingsProteomic profiles of archival formalin-fixed tissue samples of 31 patients (age 23-90 years) with early-stage head and neck cutaneous malignant melanoma (American Joint Committee on Cancer, AJCC, stage I/II) were determined and expression intensities were compared to those of melanocytic nevi, yielding ratios used in data analysis. Medical charts were retrospectively reviewed to determine time elapsed since diagnosis to disease-specific death or censoring. In a multivariate recursive partitioning analysis (as CONCLUSIONS AND SIGNIFICANCE: Data suggest that tumor tissue expression of hnRNP M and/or of HSP 90α deserve further investigation and clinical validation as potential novel risk stratification aids in patients with stage I-II cutaneous head and neck malignant melanoma.

Indexed as

biomarkersearly stagemelanomaproteomicstissue

Identifiers

PMID31803364
PMCPMC6877100
OpenAlexW2993150533

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.