Evidence map›Paper›PMID 27797003›Full record

ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016

Transcriptome analysis of distinct long non-coding RNA transcriptional fingerprints in lung adenocarcinoma and squamous cell carcinoma.

Yaqiang Wei, Xiaofei Zhang

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Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 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

2 authors at 1 institution in 1 country.

Yaqiang WeiDepartment of Respiratory Medicine, Yan'an City People's Hospital, Yan'an, People's Republic of China. yaqiangw@126.com.
Xiaofei ZhangDepartment of Oncology, Yan'an City People's Hospital, Yan'an, People's Republic of China.
Yan'an University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) is one of the leading causes of cancer-related death, including two major pathologic subtypes, adenocarcinoma (AD) and squamous cell carcinoma (SCC). There are significant differences in the aberrant gene profiling and molecular characteristics among LUAD and LUSC, which lead to the different chemotherapeutic regimens administered to the two NSCLC subtypes. Therefore, unique genetic or epigenetic accurately distinguishing these two subtypes is critical for the diagnosis and treatment of patients. In this study, we tried to develop and validate novel long non-coding RNA (lncRNA)-based signatures to facilitate the diagnosis and individualized treatment of LUAD and LUSC. To analyze the distinct lncRNA profiling in LUAD and LUSC, the paired tissue samples of RNA sequencing or microarray data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) was used. We found that lncRNA expression pattern is different in LUAD and LUSC, and three up-regulated and down-regulated lncRNAs expressions in LUAD and LUSC tissues were validated. In addition, knockdown of the up-regulated lncRNA AFAP1-AS1 and LINC00511 impaired LUAD cell proliferation, while knockdown of PVT1 inhibited LUSC cell growth. Furthermore, four 6-lncRNAs signature expression patterns were found to be significantly associated with LUAD and LUSC patient overall and progression-free survival. Taken together, the different lncRNAs signature might accurately distinguish LUAD and LUSC and predict clinical outcome for these two different subtypes of NSCLC.

Indexed as

lncRNALung adenocarcinomaLung squamous cell carcinomaNSCLCPrognostic signature

Identifiers

PMID27797003
OpenAlexW2540627801

What OpenQuestion holds

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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.