Evidence map›Paper›PMID 30706130›Full record

SynthesisJournal of cancer research and clinical oncology2019

Serum miR-16 as a potential biomarker for human cancer diagnosis: results from a large-scale population.

Zebo Huang, Wenjiao Chen, Yiping Du, Qin Guo, Yong Mao, Xin Zhou, Dong Hua

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 19% 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it, 31 citations in OpenAlex.

  1. Pooled it
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  12. Review
  13. The Role of MiRNA in Cancer: Pathogenesis, Diagnosis, and Treatment.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  14. Article
  15. MicroRNAs Related to Cognitive Impairment After Hearing Loss.Clinical and experimental otorhinolaryngology · 2021
    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 4 institutions in 1 country.

Zebo HuangDepartment of Oncology, The Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, 214062, China.
Wenjiao ChenDepartment of Oncology, The Affiliated Yixing Hospital of Jiangsu University, 75 Tongzhenguan Road, Wuxi, 214200, China.
Yiping DuDepartment of Oncology, The First People's Hospital of Kunshan Affiliated with Jiangsu University, Suzhou, 215300, China.
Qin GuoDepartment of Clinical Laboratory, The Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, 214062, China.
Yong MaoDepartment of Oncology, The Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, 214062, China.
Xin ZhouDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, 300 Guangzhou Road, Nanjing, 210029, China. ivorchou1989@126.com.
Dong HuaDepartment of Oncology, The Affiliated Hospital of Jiangnan University, 200 Huihe Road, Wuxi, 214062, China. huanglixin1123@163.com.
Jiangnan University · CNFirst People's Hospital of Kunshan · CNJiangsu Province Hospital · CNYixing People's Hospital · CN

Funding

Kunshan Social Development Science and Technology Project KS1643Wuxi Health and Family Planning Commission Project Q201724
6 · The paper itself

Abstract

backgroundCancer is a serious public health problem worldwide, and difficulty in early diagnosis has been the chief obstacle to improve the prognosis of patients. Recently, microRNAs (miRNAs) were widely studied to be potential biomarkers for cancer detection. miR-16 is a prevalent but sophisticated one. In the current study, we aimed to assess the diagnostic value of serum miR-16 for cancer detection.

methodsA total of 1458 cancer patients, containing ten types of cancers, and 1457 non-cancer controls were recruited in this study. qRT-PCR was used for the amplification of miRNAs. In addition, a meta-analysis of reported studies was performed to confirm our findings systematically.

resultsConsequently, miR-16 was down-regulated in ESCC, GCA and GNCA patients compared with NCs (all P < 0.001), while up-regulated in PDAC patients (P = 0.001), LAC, LSCC and EEC patients (all P < 0.001). But no significant differences were observed in CRC, EOC and TC patients when compared to NCs (P = 0.747, 0.235 and 0.268, respectively). The areas under the receiver operating characteristic (ROC) curve of miR-16 in GCA, ESCC, LAC, LSCC, GNCA, PDAC and EEC were 0.881, 0.780, 0.757, 0.693, 0.602, 0.614 and 0.681, respectively. Results of meta-analysis showed that miR-16 achieved an overall pooled sensitivity of 0.72, specificity of 0.79, and AUC of 0.85, suggesting that miR-16 was a promising biomarker in cancer detection.

conclusionsWe provided a comprehensive view of the diagnostic value of serum miR-16 in cancer diagnosis, and confirmed that circulating miR-16 could play an important role in cancer detection.

Indexed as

AdultAgedArea Under CurveBiomarkers, TumorFemaleHumansMaleMicroRNAsMiddle AgedNeoplasmsROC CurveSensitivity and SpecificityBiomarkers, TumorMicroRNAsMIRN16 microRNA, humanCancerCirculationDiagnosisMeta-analysisMicroRNA-16

Identifiers

PMID30706130
PMCPMC11810347
OpenAlexW2912325774

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.