Evidence map›Paper›PMID 33763157›Full record

ArticleDisease markers2021

Upregulation of Serum miR-629 Predicts Poor Prognosis for Non-Small-Cell Lung Cancer.

Fayong Liu, Tianshui Li, Ping Hu, Li Dai

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.1field-weighted citation impact, top 26% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  3. [Predictive Value of A miRNA Signature for Distant Metastasis in Lung Cancer].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2024
    Article
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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

4 authors at 1 institution in 1 country.

Fayong LiuDepartment of Respiratory and Critical Care Medicine, Beijing Jishuitan Hospital, Beijing 100000, China.ORCID https://orcid.org/0000-0002-7328-8370
Tianshui LiDepartment of Respiratory and Critical Care Medicine, Beijing Jishuitan Hospital, Beijing 100000, China.
Ping HuDepartment of Respiratory and Critical Care Medicine, Beijing Jishuitan Hospital, Beijing 100000, China.
Li DaiDepartment of Respiratory and Critical Care Medicine, Beijing Jishuitan Hospital, Beijing 100000, China.
Peking 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 most common types of cancer worldwide. Accumulating evidence has suggested that aberrant expression of microRNAs (miRNAs) is involved in the carcinogenesis and progression of NSCLC. The current study is aimed at investigating the clinical significance of serum miR-629 in NSCLC. The expression levels of serum miR-629 in patients with NSCLC, patients with nonmalignant lung diseases, and healthy controls were assessed by real-time quantitative polymerase chain reaction. Our results showed that serum miR-629 levels were significantly upregulated in NSCLC patients compared to the controls. Serum miR-629 exhibited better performance for discriminating NSCLC patients from healthy controls, compared to the traditional biomarkers CYFRA 21-1 and CEA. In addition, a high serum miR-629 level was positively correlated with adverse clinicopathological parameters including lymph node metastasis, differentiation, and clinical stage. Serum miR-629 was dramatically reduced in the NSCLC cases receiving surgical treatment. Moreover, the patients in the high serum miR-629 group suffered poorer overall survival and disease-free survival than those in the low serum miR-629 group. In conclusion, serum miR-629 might serve as a potential prognostic biomarker for NSCLC.

Indexed as

AgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsLymphatic MetastasisMaleMicroRNAsMiddle AgedUp-RegulationBiomarkers, TumorMicroRNAsMIRN629 microRNA, human

Identifiers

PMID33763157
PMCPMC7946467
OpenAlexW3134334430

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.