Evidence map›Paper›PMID 32623390›Full record

ArticleCancer biomarkers : section A of Disease markers2020

Long intergenic noncoding RNA LINC00173 as a potential serum biomarker for diagnosis of non-small-cell lung cancer.

Qian Yang, Shan Kong, Ming Zheng, Yuelan Hong, Jing Sun, Xiaotian Ming, Yingqiu Gu, Xianjuan Shen, Shaoqing Ju

Abstract read
In one paragraph

Article in Cancer biomarkers : section A of Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 27% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Circ_0004592: An auxiliary diagnostic biomarker for gastric cancer.World journal of gastrointestinal oncology · 2024
    Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Underexpression ofFrontiers in oncology · 2022
    Article
  15. Article
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 2 institutions in 1 country.

Qian YangDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Shan KongDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Ming ZhengSchool of Public Health, Nantong University, Nantong, Jiangsu, China.
Yuelan HongSchool of Public Health, Nantong University, Nantong, Jiangsu, China.
Jing SunSchool of Public Health, Nantong University, Nantong, Jiangsu, China.
Xiaotian MingSchool of Public Health, Nantong University, Nantong, Jiangsu, China.
Yingqiu GuSchool of Public Health, Nantong University, Nantong, Jiangsu, China.
Xianjuan ShenResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Shaoqing JuDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, Nantong, Jiangsu, China.
Nantong University · CNAffiliated Hospital of Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLong intergenic non-coding RNA (lincRNA) belongs to a special type of RNA that is unable to encode proteins but has been proved to play a role in gene regulation and differentially expressed in various malignant tumors.

objectiveIn this study, we aimed to identify whether lincRNA LINC00173 was differentially expressed in non-small-cell lung cancer (NSCLC) and whether it could serve as a potential diagnostic biomarker.

methodsThe quantification real-time quantitative polymerase chain reaction (qRT-PCR) was used to detect the expression of LINC00173 in serum and cultured cells. For large sample analysis, the lncRNA expression matrix in TCGA database were generated via R software. To evaluate the diagnostic performance of serum LINC00173, the receiver operating characteristic (ROC) curve was used.

resultsThe qRT-PCR analysis showed that the serum LINC00173 expression level in 108 NSCLC patients was higher than that in 91 healthy donors and 55 patients with benign pulmonary disease (BPD). And the area under the curve (AUC) of serum LINC00173 was 0.809 for the diagnosis of NSCLC (95% CI: 0.750-0.868, p< 0.001), 0.670 for BPD (95% CI: 0.584-0.756, P< 0.001), and 0.730 for small-cell lung cancer (SCLC, 95% CI: 0.636-0.825, P< 0.001). Besides, we established a diagnostic model of combined detection of LINC00173, CEA and Cyfra21-1, and found that combined detection of these indicators significantly improved the diagnostic efficiency. Analysis of the Clinicopathological parameters showed that high LINC00173 expression was correlated with histological typing of tumor, tumor metastasis and serum Cyfra21-1 levels. In addition, serum LINC00173 expression decreased in patients who received chemotherapy and rebound in recurrent NSCLC patients.

conclusionSerum LINC00173 may prove to be a potential non-invasive auxiliary diagnostic biomarker for NSCLC patients.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleRNA, Long NoncodingBiomarkers, Tumorlong noncoding RNA LINC00173, humanRNA, Long NoncodingbiomarkerdiagnosisLINC00173Non-small-cell lung cancer

Identifiers

PMID32623390
PMCPMC12662542
OpenAlexW3039754137

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.