Evidence map›Paper›PMID 39026500›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2024

[A Case of EML4-ALK Fusion V1 Subtype Lung Adenocarcinoma 
Detected by RNA-based NGS].

Yue Xu, Ning Mu, Mei Liu, Shengnan Wu, Chunhua Ma

Abstract readCase ReportsEnglish Abstract
In one paragraph

Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Yue XuDepartment of Cancer Diagnosis and Treatment Center, Tianjin People's Hospital, Tianjin 300121, China.
Ning MuDepartment of Cancer Diagnosis and Treatment Center, Tianjin People's Hospital, Tianjin 300121, China.
Mei LiuDepartment of Cancer Diagnosis and Treatment Center, Tianjin People's Hospital, Tianjin 300121, China.
Shengnan WuDepartment of Cancer Diagnosis and Treatment Center, Tianjin People's Hospital, Tianjin 300121, China.
Chunhua MaDepartment of Cancer Diagnosis and Treatment Center, Tianjin People's Hospital, Tianjin 300121, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is the malignant tumor with the highest incidence and mortality rate worldwide. For lung adenocarcinoma, identifying specific gene mutations, fusions, and giving corresponding targeted drugs can greatly improve the survival time of the patients. Among them, anaplastic lymphoma kinase (ALK) fusion occurs in 3%-7% of non-small cell lung cancer (NSCLC). In clinical practice, a variety of detection methods can be used to determine the ALK fusion status, but false negative test results are possible. This paper retrospectively analyzed the diagnosis and treatment of a patient with lung adenocarcinoma, judged the ALK fusion status by various detection methods. Among them, immunohistochemistry (IHC)(Ventana D5F3), RNA based next-generation sequencing (RNA-based NGS) confirmed positive echinoderm microtubule associated protein like 4 (EML4)-ALK fusion, while DNA-based NGS was negative. This paper analyzed the detection methods of ALK fusion, in order to clarify which detection method is the most accurate and simple to choose in different clinical cases and guide the subsequent treatment.
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Indexed as

Adenocarcinoma of LungHigh-Throughput Nucleotide SequencingLung NeoplasmsOncogene Proteins, FusionHumansEML4-ALK fusion protein, humanOncogene Proteins, FusionAnaplastic lymphoma kinaseGene fusionImmunohistochemistryLung neoplasmsNext-generation sequencingTargeted therapy

Identifiers

PMID39026500
PMCPMC11258648

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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.