Evidence map›Paper›PMID 35524867›Full record

ArticleInvestigational new drugs2022

Identifification of a novel LDLR-RET Fusion in Lung Adenocarcinoma.

Guanglin Shi, Yuyan Luo, Zhaonan Yu, Yue Wang, Bojin Zhu

Abstract readCase Reports
PubMed Publisher
In one paragraph

Article in Investigational new drugs, 2022. 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
0.2field-weighted citation impact, top 52% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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 at 1 institution in 1 country.

Guanglin ShiNantong Hospital of Shanghai University, 226013, Nanting, Nantong, Jiangsu, China.
Yuyan LuoNantong Hospital of Shanghai University, 226013, Nanting, Nantong, Jiangsu, China.
Zhaonan YuHangzhou D.A. Medical Laboratory, 310030, Hangzhou, China.
Yue WangHangzhou D.A. Medical Laboratory, 310030, Hangzhou, China.
Bojin ZhuThe Prople's Hosptial of Hai', An, 17zhongba Road, Hai'An 226600, 226600, Jiangsu, Jiangsu, China. bojinzhu2022@163.com.ORCID 0000-0002-9922-2337
People's Hospital of Yangzhong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundREarranged during Transfection (RET) gene fusion is one of the common oncogenic variants detectable in non-small cell lung cancer (NSCLC). The feature of most oncogenic RET gene fusion cases is that RET tyrosine kinase domain is retained in fusions and the partner gene includes a coiled-coil or LIS1 homology domain. However, only a few studies reported about the exceptional form of RET fusion in NSCLC so far.

methodsTargeted next-generation sequencing (NGS) and fluorescence in situ hybridization (FISH) were performed on resected cancerous tissue.

resultsA rare form of RET fusion was identified in a 45 year-old Chinese female patient, in which exon 1-4 of LDLR fused with exon 12-21 of RET. The result was validated by FISH.

conclusionsThis novel form of RET fusion in NSCLC is reported for the first time worldwide, offering a new treatment option for the patient with the possibility of using RET-selective inhibitors.

Indexed as

Adenocarcinoma of LungCarcinoma, Non-Small-Cell LungLung NeoplasmsFemaleGene FusionHumansIn Situ Hybridization, FluorescenceOncogene Proteins, FusionProtein Kinase InhibitorsProto-Oncogene Proteins c-retOncogene Proteins, FusionProtein Kinase InhibitorsProto-Oncogene Proteins c-retRET protein, humanLDLR-RETPartner geneREarranged during transfectionRET fusionTherapeutic target

Identifiers

PMID35524867
OpenAlexW4229065488

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.