Evidence map›Paper›PMID 32666646›Full record

ArticleJournal of clinical laboratory analysis2020

Value of circular RNA 0007385 in disease monitoring and prognosis estimation in non-small-cell lung cancer patients.

Yijian Lin, Weiming Su, Guocui Lan

RetractedAbstract readRetracted Publication
In one paragraph

Article in Journal of clinical laboratory analysis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Yijian LinDepartment of Respiratory and Critical Care Medicine, Fujian Quanzhou First Hospital, Fujian Medical University, Quanzhou, China.
Weiming SuPulmonary Medicine, The First Affiliated Hospital of Xiamen University, Xiamen, China.
Guocui LanPulmonary Medicine, The First Affiliated Hospital of Xiamen University, Xiamen, China.ORCID https://orcid.org/0000-0001-6553-7405

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to assess the circular RNA_0007385 (hsa_circ_0007385) expression in tumor/adjacent non-tumor tissues, and the correlation of its tumor expression with clinicopathological features as well as survival in non-small-cell lung cancer (NSCLC) patients.

methods210 NSCLC patients who underwent tumor resection were reviewed in this retrospective study. 210 tumor specimens and 81 paired adjacent specimens were collected, in which the hsa_circ_0007385 expression was detected by reverse transcription-quantitative polymerase chain reaction assay. Disease-free survival (DFS) and overall survival (OS) were recorded, and the last follow-up date was June 30, 2019.

resultsHsa_circ_0007385 was upregulated in tumor tissue compared with adjacent non-tumor tissue (P < .001), and ROC curve analysis revealed that hsa_circ_0007385 expression had an excellent value in distinguishing tumor tissue from adjacent non-tumor tissue with an area under curve of 0.922 (95% CI: 0.890-0.953). Tumor hsa_circ_0007385 high expression correlated with lymph node metastasis (P = .007) and higher TNM stage (P = .004). In addition, DFS (P = .028) and OS (P = .008) were both less favorable in patients with tumor hsa_circ_0007385 high expression compared to patients with tumor hsa_circ_0007385 low expression. Besides, the DFS (P = .008) and OS (P = .012) were also the worst in patients with tumor hsa_circ_0007385 high+++ expression, followed by patients with tumor hsa_circ_0007385 high++ expression and patients with tumor hsa_circ_0007385 high + expression, and the best in patients with tumor hsa_circ_0007385 low expression. Multivariate regression analysis elucidated that tumor hsa_circ_0007385 high expression independently predicted worse OS (P = .033).

conclusionTumor hsa_circ_0007385 could be a novel biomarker for disease monitoring and prognosis prediction in NSCLC patients.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungLung NeoplasmsRNA, CircularAgedFemaleHumansLungMaleMiddle AgedPrognosisRetrospective StudiesBiomarkers, TumorRNA, Circularhsa_circ_0007385non-small-cell lung cancerprognosistissuetumor feature

Identifiers

PMID32666646
PMCPMC7439352

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.