Evidence map›Paper›PMID 32808350›Full record

ArticleJournal of clinical laboratory analysis2020

Identification of plasma hsa_circ_0008673 expression as a potential biomarker and tumor regulator of breast cancer.

Youting Hu, Qi Song, Jianguo Zhao, Jian Ruan, Fan He, Xia Yang, Xiaocheng Yu

Open access · goldAbstract read
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. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  7. Article
  8. Circular RNAs as Biomarkers in the Diagnosis of Human Diseases.Advances in experimental medicine and biology · 2025
    Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023
    Review
  14. Article
  15. 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

7 authors at 1 institution in 1 country.

Youting HuDepartment of Breast and Thyroid Surgery, Wuhan Integrated TCM & Western Medicine Hospital, Hubei, China.ORCID https://orcid.org/0000-0002-1542-838X
Qi SongDepartment of Breast and Thyroid Surgery, Wuhan Integrated TCM & Western Medicine Hospital, Hubei, China.
Jianguo ZhaoDepartment of Breast and Thyroid Surgery, Wuhan Integrated TCM & Western Medicine Hospital, Hubei, China.
Jian RuanDepartment of Breast and Thyroid Surgery, Wuhan Integrated TCM & Western Medicine Hospital, Hubei, China.
Fan HeDepartment of Breast and Thyroid Surgery, Wuhan Integrated TCM & Western Medicine Hospital, Hubei, China.
Xia YangDepartment of Breast and Thyroid Surgery, Wuhan Integrated TCM & Western Medicine Hospital, Hubei, China.
Xiaocheng YuDepartment of Breast and Thyroid Surgery, Wuhan Integrated TCM & Western Medicine Hospital, Hubei, China.
Integrated Chinese Medicine (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCell-free circular RNAs (circRNAs) are stable and abundantly exist in body fluids. In this study, we aimed to investigate plasma cell-free circRNAs as a novel class of biomarkers for the diagnosis of breast cancer (BC).

methodsDifferentially expressed circRNAs from 6 normal and 6 BC plasma samples were detected by microarray. Hsa_circ_0008673 was then screened and validated in the plasma of 102 normal and 378 BC samples. A receiver operating characteristic (ROC) curve was used to evaluate the diagnostic value. The correlations between hsa_circ_0008673 expression and demographic characteristics, tumor features, and prognosis were analyzed. The effects of hsa_circ_0008673 on BC cell proliferation and metastasis were also measured.

resultsOf the top ten up-regulated (hsa_circ_0008673, hsa_circ_0008500, hsa_circ_0005260, hsa_circ_0003423, hsa_circ_0119881, hsa_circ_0000987, hsa_circ_0007386, hsa_circ_0000091, hsa_circ_0016601, and hsa_circ_0008549) and top ten down-regulated (hsa_circ_0000826, hsa_circ_0072697, hsa_circ_0004587, hsa_circ_0000471, hsa_circ_0007786, hsa_circ_0001417, hsa_circ_0005982, hsa_circ_0001566, hsa_circ_0003823, and hsa_circ_0003823) circRNAs from microarray, hsa_circ_0008673 was the most significantly up-regulated circRNA in BC, and represented a good diagnostic value. Hsa_circ_0008673 was remarkably down-regulated after breast mastectomy. Hsa_circ_0008673 expression was associated with larger tumor size, distant metastasis, positive estrogen receptor (ER) status, and positive progesterone receptor (PR) status. Additionally, hsa_circ_0008673 could serve as a prognostic predicator of overall survival (OS) and disease-specific survival (DSS). Cell assays proved that hsa_circ_0008673 knockdown contributed to inhibition of tumor cell proliferation and migration.

conclusionPlasma cell-free hsa_circ_0008673 was up-regulated in BC, which was associated with poorer prognosis and promoted tumor proliferation and metastasis. Hsa_circ_0008673 is a promising biomarker for tumor diagnosis and prognostic assessment of BC patients.

Indexed as

Biomarkers, TumorBreast NeoplasmsRNA, CircularCell Line, TumorFemaleHumansUp-RegulationBiomarkers, TumorRNA, Circularbiomarkerbreast cancerhsa_circ_0008673prognosis

Identifiers

PMID32808350
PMCPMC7521290
OpenAlexW3069633218

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.