Evidence map›Paper›PMID 26788173›Full record

ArticleOncology letters2015

Comparison of immunohistochemistry and mRNA

Huiyong Jiang, Xiaoyan Bai, Fanjun Meng, Xuefeng Zhang

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. International journal of molecular sciences · 2022
    Article
  3. Review
  4. Article
  5. 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

4 authors at 2 institutions in 1 country.

Huiyong JiangDepartment of General Surgery, General Hospital of Shenyang Military Area Command, Shenyang, Liaoning 110840, P.R. China.
Xiaoyan BaiDivision of Nephrology, Nanfang Hospital, Southern Medical University and Guangdong Provincial Institute of Nephrology, Guangzhou, Guangdong 510515, P.R. China.
Fanjun MengDepartment of Gastroenterology, 202nd Hospital of the People's Liberation Army, Shenyang, Liaoning 110003, P.R. China.
Xuefeng ZhangDepartment of General Surgery, General Hospital of Shenyang Military Area Command, Shenyang, Liaoning 110840, P.R. China.
General Hospital of Shenyang Military Region · CNNanfang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thyroid transcription factor-1 (TTF-1) reportedly possesses oncogenic and suppressive roles within the same tumor type and may play a dual function in the progression of lung cancer. Immunohistochemistry (IHC) and mRNA in situ hybridization (ISH) are commonly used methods for detecting protein or mRNA expression. The present study compared the concordance rate of the two methods in the evaluation of thyroid transcription factor-1 (TTF-1) expression in non-small cell lung carcinoma (NSCLC) using tissue microarray-based IHC and mRNA ISH. TTF-1 protein and mRNA expression levels were examined in 196 cases of NSCLC. The IHC and mRNA ISH agreement was 91.3% (179/196), and near-perfect agreement was observed between the two methods (κ-coefficient, 0.848). There was no significant difference between IHC and mRNA ISH, as analyzed by the McNemar-Bowker test (P=0.219). The present findings proved that IHC is comparable to mRNA ISH for evaluating TTF-1 expression in NSCLC. These two methods can be used to detect TTF-1 expression in future studies.

Indexed as

immunohistochemistrymRNA in situ hybridizationnon-small cell lung cancerthyroid transcription factor-1tissue microarray

Identifiers

PMID26788173
PMCPMC4665203
OpenAlexW2134958983

What OpenQuestion holds

Textmetadata
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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.