Evidence map›Paper›PMID 28529587›Full record

ArticleOncology letters2017

Expression of claudin 1, 4 and 7 in thyroid neoplasms.

Dinç Süren, Mustafa Yildirim, Alper Sayiner, Arsenal Sezgin Alikanoğlu, Irem Atalay, Umut Riza Gündüz, Vildan Kaya, Şeyda Gündüz, Mehmet Tahir Oruç, Cem Sezer

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Claudins as biomarkers of differential diagnosis and prognosis of tumors.Journal of cancer research and clinical oncology · 2021
    Review
  7. Overcoming resistance to BRAFNPJ precision oncology · 2021
    Article
  8. Claudin-1, A Double-Edged Sword in Cancer.International journal of molecular sciences · 2020
    Review
  9. Article
  10. Review
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

10 authors at 3 institutions in 1 country.

Dinç SürenDepartment of Pathology, University of Health Sciences, Antalya Education and Research Hospital, Antalya 07050, Turkey.
Mustafa YildirimDepartment of Medical Oncology, Medical Park Hospital, Gaziantep 27100, Turkey.
Alper SayinerDepartment of Pathology, University of Health Sciences, Antalya Education and Research Hospital, Antalya 07050, Turkey.
Arsenal Sezgin AlikanoğluDepartment of Pathology, University of Health Sciences, Antalya Education and Research Hospital, Antalya 07050, Turkey.
Irem AtalayDepartment of Pathology, University of Health Sciences, Antalya Education and Research Hospital, Antalya 07050, Turkey.
Umut Riza GündüzDepartment of General Surgery, University of Health Sciences, Antalya Education and Research Hospital, Antalya 07050, Turkey.
Vildan KayaDepartment of Radiation Oncology, Süleyman Demirel University, Isparta 32260, Turkey.
Şeyda GündüzDepartment of Medical Oncology, University of Health Sciences, Antalya Education and Research Hospital, Antalya 07050, Turkey.
Mehmet Tahir OruçDepartment of General Surgery, University of Health Sciences, Antalya Education and Research Hospital, Antalya 07050, Turkey.
Cem SezerDepartment of Pathology, University of Health Sciences, Antalya Education and Research Hospital, Antalya 07050, Turkey.
Sağlık Bilimleri Üniversitesi · TRMedical Park Gaziantep Hospital · TRSüleyman Demirel University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The distinction of thyroid carcinoma from benign thyroid neoplasm, as well as the subtyping of papillary carcinoma (PC) and follicular carcinoma (FC), may be performed histopathologically in the majority of cases. However, in certain cases, it is difficult to histopathologically distinguish between PC and FC, as well as follicular adenoma (FA), FC and the dominant nodule of multinodular goiter (MNG-DN). The present study aimed to determine the roles of the expression levels of the tight junction proteins claudin 1, 4 and 7 in the differential diagnosis of PC, FC, FA, MNG-DN, medullary carcinoma (MC) and anaplastic carcinoma (AC). The current study included 114 cases of histopathologically diagnosed thyroid neoplasia, which were distributed as follows: 29 FA, 18 MNG-DN, 47 PC, 10 FC, 5 MC and 5 AC. The expression levels of claudin 1, 4 and 7 were examined using immunohistochemical methods. The results revealed a significant difference in claudin 1 expression between malignant and benign thyroid neoplasms (P<0.001). Claudin 1 expression was not detected in any of the MNG-DN cases, and no significant difference in claudin 1 expression levels was identified between FA and FC (P=0.653). However, a statistically significant difference was observed between FC and PC (P<0.001). Claudin 4 expression did not differ between malignant and benign thyroid neoplasms, neither between MNG-DN, FA and FC, nor between FC and PC (P=0.068, P=0.502 and P=0.481, respectively). Claudin 7 exhibited positive immunohistochemical staining in 107 patients (94%); however, no significant difference in claudin 7 expression §levels was identified between malignant and benign thyroid neoplasms among MNG-DN, FA and FC (malignant, P=0.135; benign, P=0.470). Claudin 7 exhibited positive staining in all PC and FC cases. Therefore, claudin 1 expression levels may be useful in distinguishing cases of FC and PC with overlapping histopathological features, and provide a novel immunohistochemical marker for the subtyping of thyroid carcinoma.

Indexed as

claudin 1claudin 4claudin 7thyroid neoplasiatight junctions

Identifiers

PMID28529587
PMCPMC5431601
OpenAlexW2601582090

What OpenQuestion holds

Textmetadata
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.