Evidence map›Paper›PMID 28781783›Full record

ArticleMolecular and clinical oncology2017

Neuroendocrine carcinoma of the lung expressing anaplastic lymphoma kinase on high-sensitivity immunohistochemistry: A case report.

Kotoko Miyoshi, Yasushi Adachi, Hitoshi Nakaji, Akiharu Okamura, Yasuhiro Sakai, Ryuji Hirano, Shinsuke Yahata, Ming Li, Susumu Ikehara

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Article in Molecular and clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
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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

9 authors at 4 institutions in 1 country.

Kotoko MiyoshiDepartment of Respiratory Medicine, Toyooka Hospital, Toyooka, Hyogo, Japan.
Yasushi AdachiDepartment of Diagnostic Pathology, Toyooka Hospital, Toyooka, Hyogo, Japan.
Hitoshi NakajiDepartment of Respiratory Medicine, Toyooka Hospital, Toyooka, Hyogo, Japan.
Akiharu OkamuraDepartment of Diagnostic Pathology, Kakogawa Central Hospital, Kakogawa, Hyogo, Japan.
Yasuhiro SakaiDepartment of Diagnostic Pathology, Kobe University Graduate School of Medicine/School of Medicine, Kobe, Hyogo, Japan.
Ryuji HiranoDivision of Thoracic and Cardiovascular Surgery, Toyooka Hospital, Toyooka, Hyogo, Japan.
Shinsuke YahataDepartment of Internal General Medicine, Hamasaka Public Hospital, Hamasaka, Hyogo, Japan.
Ming LiDepartment of Stem Cell Disorders, Kansai Medical University, Hirakata, Osaka, Japan.
Susumu IkeharaDepartment of Stem Cell Disorders, Kansai Medical University, Hirakata, Osaka, Japan.
Toyooka Hospital · JPKansai Medical University · JPKagawa Prefectural Central Hospital · JPKobe University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been reported that anaplastic lymphoma kinase (ALK) protein is expressed in a proportion of non-small-cell carcinomas (mainly adenocarcinomas). By contrast, high-sensitivity immunohistochemistry (IHC) rarely detects ALK protein expression in neuroendocrine carcinomas (NECs) of the lung, which include small-cell carcinomas and large-cell neuroendocrine carcinomas (LCNECs). We herein present a case of NEC that was identified as ALK-positive via high-sensitivity IHC. A 51-year-old man was diagnosed with small-cell carcinoma in the upper lobe of the right lung. Although high-sensitivity IHC revealed that the tumor weakly expressed the ALK protein, no fusion gene with

Indexed as

anaplastic lymphoma kinasehigh-sensitivity immunohistochemistrylungneuroendocrine carcinoma

Identifiers

PMID28781783
PMCPMC5532692
OpenAlexW2733851053

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.