Evidence map›Paper›PMID 31856412›Full record

Observational studyCancer medicine2020

Autoantibodies against tumor-associated antigens combined with microRNAs in detecting esophageal squamous cell carcinoma.

Guiying Sun, Hua Ye, Xiao Wang, Tiandong Li, Di Jiang, Cuipeng Qiu, Liping Dai, Jianxiang Shi, Kaijuan Wang, Chunhua Song and 2 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 26% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Article
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  8. Review
  9. Observational
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

12 authors at 1 institution in 1 country.

Guiying SunCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Hua YeCollege of Public Health, Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-3657-2417
Xiao WangHenan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
Tiandong LiCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Di JiangHenan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China.
Cuipeng QiuCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Liping DaiHenan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-5531-1776
Jianxiang ShiHenan Key Laboratory of Tumor Epidemiology, Zhengzhou University, Zhengzhou, China.ORCID 0000-0002-4346-3895
Kaijuan WangCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Chunhua SongCollege of Public Health, Zhengzhou University, Zhengzhou, China.ORCID 0000-0001-6028-5923
Peng WangCollege of Public Health, Zhengzhou University, Zhengzhou, China.ORCID 0000-0003-4666-9706
Jianying ZhangCollege of Public Health, Zhengzhou University, Zhengzhou, China.
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal carcinoma (EC) is a common malignant disease worldwide, especially in China. There is currently no specific blood test for detecting EC. Autoantibodies against tumor-associated antigens (TAAbs) and microRNAs (miRNAs) are promising markers for cancer diagnosis and this study focuses on combining TAAbs and miRNAs to evaluate the diagnostic value in esophageal squamous cell carcinoma (ESCC). The expression levels of seven TAAbs and five microRNAs in plasmas from 125 patients diagnosed with ESCC and 125 healthy individuals were detected by enzyme-linked immunosorbent assay (ELISA) and reverse transcription quantitative-polymerase chain reaction (RT-qPCR), respectively. The receiver operating characteristic (ROC) analysis was applied to estimate the diagnostic value of these markers for distinguishing ESCC patients from normal individuals. Logistic regression analysis was performed to generate prediction model and calculate the probability of individuals being diagnosed with ESCC. Three panels were established including four TAAbs, three miRNAs, and three TAAbs combined with three miRNAs. The panel consisting of three TAAbs (HCCR, C-myc, and MDM2) and three miRNAs (miR-21, miR-223, and miR-375) attained great diagnostic value for ESCC, with an area under the receiver operating characteristic curve (AUC) of 0.89 (95% CI: 0.85-0.93) with the sensitivity of 69%, the specificity of 90%, the PPV of 83%, the NPV of 79%, and the coincidence rate of 81%. The optimal panel of six-member markers was able to effectively discriminate the patients with ESCC from normal individuals, especially for early esophageal squamous cell carcinoma.

Indexed as

AdultAgedAged, 80 and overAntigens, NeoplasmAutoantibodiesBiomarkers, TumorCase-Control StudiesCirculating MicroRNAEarly Detection of CancerEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFeasibility StudiesFemaleHumansMaleMiddle AgedAntigens, NeoplasmAutoantibodiesBiomarkers, TumorCirculating MicroRNAautoantibodiesdiagnosisesophageal squamous cell carcinomamicroRNAs

Identifiers

PMID31856412
PMCPMC6997060
OpenAlexW2995153347

What OpenQuestion holds

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LicenceCC BY
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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.