Evidence map›Paper›PMID 33535877›Full record

ArticleCancer biology & therapy2021

Evaluation of microRNAs as potential biomarkers in circulating HPV-DNA-positive non-small cell lung cancer patients.

Yao Wu, Qing Yin, Ya-Ling Zhou, Lei He, Zhi-Qing Zou, Xiao-Yue Dai, Wen Xia

Open access · bronzeAbstract read
In one paragraph

Article in Cancer biology & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 38% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Review
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 2 institutions in 1 country.

Yao WuDepartment of Clinical Laboratory, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Qing YinDepartment of Clinical Laboratory, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Ya-Ling ZhouDepartment of Clinical Laboratory, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Lei HeDepartment of Clinical Laboratory, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Zhi-Qing ZouSchool of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
Xiao-Yue DaiSchool of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
Wen XiaSchool of Medicine, Jiangsu University, Zhenjiang, Jiangsu, China.
Jiangsu University · CNAffiliated Hospital of Jiangsu University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of the present study was to identify the potential risk of circulating-HPV-DNA in non-small cell lung cancer (NSCLC) and to analyze abnormally expressed miRNAs in circulating HPV-DNA-positive NSCLC. HPV universal primers were used to detect the presence of HPV-DNA in the peripheral blood of 100 patients with NSCLC. The relationship between circulating-HPV-DNA and NSCLC patients characteristics was analyzed. Then, eight differentially expressed miRNAs in NSCLC were screened based on the TCGA database. The levels of miRNAs in circulating HPV-DNA-positive NSCLC patients were detected by real-time quantitative PCR. ROC curves were generated to evaluate the diagnostic performance. Circulating-HPV-DNA was found in 16 patients. The proportion of HPV-DNA-positive patients with poorly differentiated NSCLC, advanced lung cancer and lymph node metastasis was higher than that of HPV-DNA-negative patients. The levels of miR-183, miR-210 and miR-182 were significantly higher and miR-144 was significantly lower in HPV-DNA-positive NSCLC than those in HPV-DNA-negative NSCLC patients. When using a single miRNA to identify circulating HPV-DNA-positive NSCLC patients, miR-210 had a higher area under the ROC curve (AUC) than other miRNAs, and its sensitivity and specificity were also higher. In addition, the combination of two miRNAs was more effective than a single miRNA. Among them, miR-210+ miR-144 had the highest AUC value and showed the best prediction performance. Circulating-HPV-DNA may serve as a risk factor in NSCLC. Plasma miR-183, miR-210, miR-182 and miR-144 can be used as reliable biomarkers to identify circulating HPV-DNA-positive NSCLC.

Indexed as

Biomarkers, TumorCarcinoma, Non-Small-Cell LungCell-Free Nucleic AcidsHumansLung NeoplasmsMicroRNAsPapillomavirus InfectionsSurvival AnalysisBiomarkers, TumorCell-Free Nucleic AcidsMicroRNAsdiagnosisHPV-DNAmicroRNAnon-small cell lung cancerTCGA database

Identifiers

PMID33535877
PMCPMC7928039
OpenAlexW3126787427

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.