Evidence map›Paper›PMID 29499655›Full record

ArticleBMC cancer2018

Identification of novel enriched recurrent chimeric COL7A1-UCN2 in human laryngeal cancer samples using deep sequencing.

Ye Tao, Neil Gross, Xiaojiao Fan, Jianming Yang, Maikun Teng, Xu Li, Guojun Li, Yang Zhang, Zhigang Huang

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

7 citing papers in PubMed, 11 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

9 authors at 4 institutions in 2 countries.

Ye TaoDepartment of Otolaryngology-Head and Neck Surgery, Key Laboratory of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
Neil GrossDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Xiaojiao FanHefei National Laboratory for Physical Sciences at Microscale, Innovation Centre for Cell Signaling Network, School of Life Science, University of Science and Technology of China, Hefei, Anhui, 230026, People's Republic of China.
Jianming YangDepartment of Otolaryngology-Head and Neck Surgery, the Second Affiliated Hospital of Anhui Medical University, Hefei, 230601, China.
Maikun TengHefei National Laboratory for Physical Sciences at Microscale, Innovation Centre for Cell Signaling Network, School of Life Science, University of Science and Technology of China, Hefei, Anhui, 230026, People's Republic of China.
Xu LiHefei National Laboratory for Physical Sciences at Microscale, Innovation Centre for Cell Signaling Network, School of Life Science, University of Science and Technology of China, Hefei, Anhui, 230026, People's Republic of China.
Guojun LiDepartment of Head and Neck Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Yang ZhangDepartment of Otolaryngology-Head and Neck Surgery, Key Laboratory of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China. zhangyangent@163.com.
Zhigang HuangDepartment of Otolaryngology-Head and Neck Surgery, Key Laboratory of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China. huangzhigang1963@sohu.com.
Capital Medical University · CNUniversity of Science and Technology of China · CNThe University of Texas MD Anderson Cancer Center · USSecond Hospital of Anhui Medical University · CN

Funding

National Natural Science Foundation of China (CN) N0.81670946
6 · The paper itself

Abstract

backgroundAs hybrid RNAs, transcription-induced chimeras (TICs) may have tumor-promoting properties, and some specific chimeras have become important diagnostic markers and therapeutic targets for cancer.

methodsWe examined 23 paired laryngeal cancer (LC) tissues and adjacent normal mucous membrane tissue samples (ANMMTs). Three of these pairs were used for comparative transcriptomic analysis using high-throughput sequencing. Furthermore, we used real-time polymerase chain reaction (RT-PCR) for further validation in 20 samples. The Kaplan-Meier method and Cox regression model were used for the survival analysis.

resultsWe identified 87 tumor-related TICs and found that COL7A1-UCN2 had the highest frequency in LC tissues (13/23; 56.5%), whereas none of the ANMMTs were positive (0/23; p < 0.0001). COL7A1-UCN2, generated via alternative splicing in LC tissue cancer cells, had disrupted coding regions, but it down-regulated the mRNA expression of COL7A1 and UCN2. Both COL7A1 and UCN2 were down-expressed in LC tissues as compared to their paired ANMMTs. The COL7A1:β-actin ratio in COL7A1-UCN2-positive LC samples was significantly lower than that in COL7A1-UCN2-negative samples (p = 0.019). Likewise, the UCN2:β-actin ratio was also decreased (p = 0.21). Furthermore, COL7A1-UCN2 positivity was significantly associated with the overall survival of LC patients (p = 0.032; HR, 13.2 [95%CI, 1.2-149.5]).

conclusionLC cells were enriched in the recurrent chimera COL7A1-UCN2, which potentially affected cancer stem cell transition, promoted epithelial-mesenchymal transition in LC, and resulted in poorer prognoses.

Indexed as

Gene Expression Regulation, NeoplasticAlternative SplicingBiomarkers, TumorCase-Control StudiesCollagen Type VIICombined Modality TherapyComputational BiologyCorticotropin-Releasing HormoneEpithelial-Mesenchymal TransitionFemaleFollow-Up StudiesGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansLaryngeal NeoplasmsMaleBiomarkers, TumorCOL7A1 protein, humanCollagen Type VIICorticotropin-Releasing HormoneUCN2 protein, humanUrocortinsCOL7A1Gene fusionLaryngeal cancerTranscription-induced chimeraUCN2

Identifiers

PMID29499655
PMCPMC5834868
OpenAlexW2796660561

What OpenQuestion holds

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LicenceCC BY
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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.