Evidence map›Paper›PMID 29090518›Full record

ArticleThoracic cancer2018

Detection and analysis of circulating large intergenic non-coding RNA regulator of reprogramming in plasma for breast cancer.

Kaijiong Zhang, Zhenglian Luo, Yi Zhang, Yuzhi Wang, Meng Cui, Lian Liu, Li Zhang, Jinbo Liu

Abstract read
In one paragraph

Article in Thoracic cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
–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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Long Non-Coding RNACancers · 2020
    Review
  6. Review
  7. Review
  8. 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

8 authors.

Kaijiong ZhangDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.ORCID 0000-0002-5459-0144
Zhenglian LuoDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yi ZhangDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Yuzhi WangDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Meng CuiDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Lian LiuDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Li ZhangDepartment of Laboratory Medicine, Sichuan Cancer Hospital, Chengdu, China.
Jinbo LiuDepartment of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have indicated that large intergenic non-coding RNA regulator of reprogramming (lincRNA-ROR) plays an important role in regulating tumor carcinogenesis and metastasis; however, whether circulating lincRNA-ROR could function as a potential biomarker for breast cancer (BC) diagnosis and monitoring is unknown. This study was conducted to investigate circulating lincRNA-ROR in plasma as a potential biomarker for BC diagnosis and monitoring.

methodsWe performed reverse transcription-quantitative-PCR to examine lincRNA-ROR expression levels in cell lines, 24 pairs of BC tissue samples, and 94 plasma samples from BC patients. Potential correlations between plasma lincRNA-ROR levels and clinicopathological characteristics were analyzed. A receiver operating characteristic curve was calculated to evaluate the diagnostic values for BC. Pearson correlation analysis of lincRNA-ROR in plasma samples and the corresponding tissues of the same patients was performed to explore tumor monitoring values.

resultsLincRNA-ROR expression was significantly increased in BC cell lines, tissues, and plasma (all P < 0.01). Plasma lincRNA-ROR levels were associated with estrogen receptors (P = 0.042) and lymph node metastasis (P = 0.046). The area under the receiver operating characteristic curve of plasma lincRNA-ROR was 0.844 (sensitivity 80.0%, specificity 56.7%), which was higher than carcinoembryonic and carbohydrate antigen 15-3 values. Moreover, plasma lincRNA-ROR levels were decreased in postoperative compared to preoperative samples (P < 0.0001). Plasma lincRNA-ROR levels moderately correlated with the corresponding tissue level in the same patients (r

conclusionPlasma lincRNA-ROR may be a potential biomarker for BC diagnosis and a dynamic monitor.

Indexed as

AdultAgedBreast NeoplasmsCase-Control StudiesCell Line, TumorFemaleHumansMiddle AgedRNA, Long NoncodingRNA, Long NoncodingBreast cancerlincRNA-RORplasma biomarker

Identifiers

PMID29090518
PMCPMC5754303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.