Evidence map›Paper›PMID 36265509›Full record

ArticleCancer research and treatment2023

Cancer-Specific Sequences in the Diagnosis and Treatment of NUT Carcinoma.

Mi-Sook Lee, Sungbin An, Ji-Young Song, Minjung Sung, Kyungsoo Jung, Eun Sol Chang, Juyoung Choi, Doo-Yi Oh, Yoon Kyung Jeon, Hobin Yang and 5 more

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2023. 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
0.4field-weighted citation impact, top 41% 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, 5 citations in OpenAlex.

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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

15 authors at 5 institutions in 2 countries.

Mi-Sook LeeDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
Sungbin AnDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
Ji-Young SongLaboratory of Molecular Pathology and Theranostics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Minjung SungLaboratory of Molecular Pathology and Theranostics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Kyungsoo JungDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
Eun Sol ChangDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
Juyoung ChoiLaboratory of Molecular Pathology and Theranostics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Doo-Yi OhDepartment of Otolaryngology, Ajou University School of Medicine, Suwon, Korea.
Yoon Kyung JeonDepartment of Pathology, Seoul National University College of Medicine, Seoul, Korea.
Hobin YangLaboratory of Molecular Pathology and Cancer Genomics, Research Institute of Pharmaceutical Sciences and College of Pharmacy, Seoul National University, Seoul, Korea.
Chaithanya LakshmiBio-Max/N-Bio, Seoul National University, Seoul, Korea.
Sehhoon ParkDivision of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Joungho HanDepartment of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Se-Hoon LeeDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
Yoon-La ChoiDepartment of Health Sciences and Technology, SAIHST, Sungkyunkwan University, Seoul, Korea.
Samsung Medical Center · KRSungkyunkwan University · KRCancer Research Institute · USAjou University · KRSeoul National University · KR

Funding

Ministry of Science, ICT and Future PlanningNational Research Foundation of Korea 2021R1A2C4002158National Research Foundation of Korea 2022R1A2C2006322
6 · The paper itself

Abstract

purposeNUT carcinoma (NC) is a solid tumor caused by the rearrangement of NUTM1 that usually develops in midline structures, such as the thorax. No standard treatment has been established despite high lethality. Thus, we investigated whether targeting the junction region of NUTM1 fusion breakpoints could serve as a potential treatment option for NC. Materials and Methods: We designed and evaluated a series of small interfering RNAs (siRNAs) targeting the junction region of BRD4-NUTM1 fusion (B4N), the most common form of NUTM1 fusion. Droplet digital polymerase chain reaction using the blood of patients was also tested to evaluate the treatment responses by the junction sequence of the B4N fusion transcripts.

resultsAs expected, the majority of NC fusion types were B4N (12 of 18, 67%). B4N fusion-specific siRNA treatment on NC cells showed specific inhibitory effects on the B4N fusion transcript and fusion protein without affecting the endogenous expression of the parent genes, resulting in decreased relative cell growth and attenuation of tumor size. In addition, the fusion transcript levels in platelet-rich-plasma samples of the NC patients with systemic metastasis showed a negative correlation with therapeutic effect, suggesting its potential as a measure of treatment responsiveness.

conclusionThis study suggests that tumor-specific sequences could be used to treat patients with fusion genes as part of precision medicine for a rare but deadly disease.

Indexed as

CarcinomaTranscription FactorsBromodomain Containing ProteinsCell Cycle ProteinsHumansNuclear ProteinsOncogene Proteins, FusionRNA, Small InterferingBRD4 protein, humanBromodomain Containing ProteinsCell Cycle ProteinsNuclear ProteinsOncogene Proteins, FusionRNA, Small InterferingTranscription FactorsJunction sequence of the fusion geneNUT carcinomaNUTM1 fusion gene

Identifiers

PMID36265509
PMCPMC10101799
OpenAlexW4306160423

What OpenQuestion holds

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LicenceCC BY-NC
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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.