Evidence map›Paper›PMID 26488476›Full record

ArticlePloS one2015

The Profile of Heparanase Expression Distinguishes Differentiated Thyroid Carcinoma from Benign Neoplasms.

Leandro Luongo Matos, Eloah Rabello Suarez, Thérèse Rachell Theodoro, Damila Cristina Trufelli, Carina Mucciolo Melo, Larissa Ferraz Garcia, Olivia Capela Grimaldi Oliveira, Maria Graciela Luongo Matos, Jossi Ledo Kanda, Helena Bonciani Nader and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Heparanase modulation by Wingless/INT (Wnt).Molecular biology reports · 2021
    Article
  4. Article
  5. Heparanase and the hallmarks of cancer.Journal of translational medicine · 2020
    Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. 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

12 authors at 3 institutions in 1 country.

Leandro Luongo MatosBiochemistry Department, Faculdade de Medicina do ABC, Santo André, Brazil; Head and Neck Surgery Department, Faculdade de Medicina do ABC, Santo André, Brazil; Biochemistry Department, Universidade Federal de São Paulo, São Paulo, Brazil.
Eloah Rabello SuarezBiochemistry Department, Faculdade de Medicina do ABC, Santo André, Brazil; Biochemistry Department, Universidade Federal de São Paulo, São Paulo, Brazil.
Thérèse Rachell TheodoroBiochemistry Department, Faculdade de Medicina do ABC, Santo André, Brazil.
Damila Cristina TrufelliBiochemistry Department, Faculdade de Medicina do ABC, Santo André, Brazil.
Carina Mucciolo MeloBiochemistry Department, Universidade Federal de São Paulo, São Paulo, Brazil.
Larissa Ferraz GarciaBiochemistry Department, Faculdade de Medicina do ABC, Santo André, Brazil.
Olivia Capela Grimaldi OliveiraPathology Department, Pathos Medical Diagnosis, São Paulo, Brazil.
Maria Graciela Luongo MatosUniversidade Cidade de São Paulo (Unicid), São Paulo, Brazil.
Jossi Ledo KandaHead and Neck Surgery Department, Faculdade de Medicina do ABC, Santo André, Brazil.
Helena Bonciani NaderBiochemistry Department, Universidade Federal de São Paulo, São Paulo, Brazil.
João Roberto Maciel MartinsBiochemistry Department, Universidade Federal de São Paulo, São Paulo, Brazil; Laboratory of Molecular and Translational Endocrinology, Endocrinology and Metabolism Discipline, Universidade Federal de São Paulo, São Paulo, Brazil.
Maria Aparecida Silva PinhalBiochemistry Department, Faculdade de Medicina do ABC, Santo André, Brazil; Biochemistry Department, Universidade Federal de São Paulo, São Paulo, Brazil.
Faculdade de Medicina do ABC · BRUniversidade Federal de São Paulo · BRUniversidade Cidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe search for a specific marker that could help to distinguish between differentiated thyroid carcinoma and benign lesions remains elusive in clinical practice. Heparanase (HPSE) is an endo-beta-glucoronidase implicated in the process of tumor invasion, and the heparanase-2 (HPSE2) modulates HPSE activity. The aim of this study was to evaluate the role of heparanases in the development and differential diagnosis of follicular pattern thyroid lesions.

methodsHPSE and HPSE2 expression by qRT-PCR, immunohistochemistry evaluation, western blot analysis and HPSE enzymatic activity were evaluated.

resultsThe expression of heparanases by qRT-PCR showed an increase of HPSE2 in thyroid carcinoma (P = 0.001). HPSE activity was found to be higher in the malignant neoplasms than in the benign tumors (P<0.0001). On Western blot analysis, HPSE2 isoforms were detected only in malignant tumors. The immunohistochemical assay allowed us to establish a distinct pattern for malignant and benign tumors. Carcinomas showed a typical combination of positive labeling for neoplastic cells and negative immunostaining in colloid, when compared to benign tumors (P<0.0001). The proposed diagnostic test presents sensitivity and negative predictive value of around 100%, showing itself to be an accurate test for distinguishing between malignant and benign lesions.

conclusionsThis study shows, for the first time, a distinct profile of HPSE expression in thyroid carcinoma suggesting its role in carcinogenesis.

Indexed as

Diagnosis, DifferentialFemaleGlucuronidaseHeparanaseHumansImmunohistochemistryMaleMiddle AgedNeoplasmsThyroid GlandThyroid NeoplasmsGlucuronidaseHeparanase

Identifiers

PMID26488476
PMCPMC4619411
OpenAlexW2195172993

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.