Evidence map›Paper›PMID 26339353›Full record

ArticleInternational journal of clinical and experimental pathology2015

Combined identification of long non-coding RNA XIST and HIF1A-AS1 in serum as an effective screening for non-small cell lung cancer.

Jicheng Tantai, Dingzhong Hu, Yu Yang, Junfeng Geng

Open access · greenAbstract readComparative Study
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 5 pooled it
7.0field-weighted citation impact, top 2% 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

93 citing papers in PubMed, 5 syntheses or guidelines pooled it, 131 citations in OpenAlex.

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  11. Rewiring cancer epigenome: lncRNA as modulator of chromatin architecture and neoplastic transformation.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  12. [Ferroptosis-related long non-coding RNA to predict the clinical outcome of non-small cell lung cancer after radiotherapy].Beijing da xue xue bao. Yi xue ban = Journal of Peking University. Health sciences · 2025
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  19. Plumbing mysterious RNAs in "dark genome" for the conquest of human diseases.Molecular therapy : the journal of the American Society of Gene Therapy · 2023
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33 more citing papers are in PubMed but not listed here.

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

4 authors at 1 institution in 1 country.

Jicheng TantaiDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University Shanghai 200030, China.
Dingzhong HuDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University Shanghai 200030, China.
Yu YangDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University Shanghai 200030, China.
Junfeng GengDepartment of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiaotong University Shanghai 200030, China.
Shanghai Chest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLong non-coding RNAs (lncRNAs) XIST and HIF1A-AS1 have been shown to play important regulatory roles in cancer biology, and lncRNA-XIST and HIF1A-AS1 are upregulated in several cancers such as glioblastoma, breast cancer and thoracoabdominal aorta aneurysm, however, its value in the diagnosis of non-small cell lung cancer (NSCLC) is unclear. The aim of this study is to evaluate the clinical significance of serum XIST and HIF1A-AS1 as a biomarker in the screening of NSCLC.

methodsExpression levels of lncRNA-XIST and HIF1A-AS1 in tumor tissues and serum from NSCLC patients were evaluated by quantitative real-time PCR, and its association with overall survival of patients was analyzed by statistical analysis. Moreover, the XIST and lncRNA-XIST expression correlation between tumor tissues and plasma was demonstrated by linear regression analysis.

resultsThe levels of XIST (P < 0.05) and HIF1A-AS1 (P < 0.05) were significantly increased in tumor tissues or serum from NSCLC patients as compared to those of control group. Correlation of lncRNA-XIST or HIF1A-AS1 expression between tumor tissues and serum from the same individuals was confirmed in NSCLC patients. Moreover, serum levels of XIST and HIF1A-AS1 were significantly decreased after surgical treatment as compared to pre-operative. The ROC curves illustrated strong separation between the NSCLC patients and control group, with an AUC of 0.834 (95% CI: 0.726-0.935; P < 0.001) for XIST and 0.876 (95% CI: 0.793-0.965; P < 0.001) for HIF1A-AS1, however, the combination of XIST and HIF1A-AS1 yielded an AUC of 0.931 (95% CI: 0.869-0.990; P < 0.001), which was significantly improved as compared to XIST or HIF1A-AS1 alone.

conclusionOur results demonstrated that increased serum XIST and HIF1A-AS1 could be used as a predictive biomarker for NSCLC screening, and that combination of XIST and HIF1A-AS1 had a higher positive diagnostic efficiency of NSCLC than XIST or HIF1A-AS1 alone.

Indexed as

Area Under CurveBiomarkers, TumorCarcinoma, Non-Small-Cell LungEarly Detection of CancerFemaleHumansLung NeoplasmsMaleMiddle AgedPneumonectomyPredictive Value of TestsReal-Time Polymerase Chain ReactionReverse Transcriptase Polymerase Chain ReactionRNA, Long NoncodingROC CurveTreatment OutcomeBiomarkers, TumorHIF1A-AS1 long non-coding RNA, humanRNA, Long NoncodingXIST non-coding RNAHIF1A-AS1long non-coding RNANon-small cell lung cancertumor biomarkerXIST

Identifiers

PMID26339353
PMCPMC4555681
OpenAlexW2414827920

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.