Evidence map›Paper›PMID 27778118›Full record

ArticleInternational journal of clinical oncology2017

A panel of autoantibodies as potential early diagnostic serum biomarkers in patients with breast cancer.

Ying Liu, Ying Liao, Linlin Xiang, Kuo Jiang, Siyao Li, Mingmei Huangfu, Shilong Sun

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in International journal of clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Observational
  7. Autoantibodies in Early Detection of Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

7 authors at 1 institution in 1 country.

Ying LiuDepartment of Toxicology, School of Public Health, Jilin University, Changchun, 130021, China.
Ying LiaoDepartment of Toxicology, School of Public Health, Jilin University, Changchun, 130021, China.
Linlin XiangDepartment of Toxicology, School of Public Health, Jilin University, Changchun, 130021, China.
Kuo JiangMinistry of Health Key Laboratory of Radiobiology, Jilin University, Changchun, 130021, China.
Siyao LiMinistry of Health Key Laboratory of Radiobiology, Jilin University, Changchun, 130021, China.
Mingmei HuangfuMinistry of Health Key Laboratory of Radiobiology, Jilin University, Changchun, 130021, China.
Shilong SunMinistry of Health Key Laboratory of Radiobiology, Jilin University, Changchun, 130021, China. slsun@jlu.edu.cn.
Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpecific circulating autoantibodies are produced by host immune systems to respond to antigens that arise during tumorigenesis. To achieve auxiliary diagnosis, the present study was designed to test whether circulating autoantibodies against tumor-associated antigens (TAAs) were altered in early breast cancer.

methodsA total of 102 breast cancer patients and 146 age-matched healthy volunteers were recruited to participate in this study. Autoantibody expression was tested using in-house developed enzyme-linked immunosorbent assay (ELISA) with linear peptide envelope antigens derived from TAAs.

resultsStudent's t tests showed that expression of autoantibodies against the panel (p16, c-myc, TP53, and ANXA-1) was significantly higher in the breast cancer group, stage I and II breast cancer group, and stage III and IV breast cancer group than in the healthy control group (p < 0.001, p < 0.001, p < 0.001). The sensitivities of detection of the panel (90% specificity) in these groups were 33.3%, 31.7%, and 33.3%, respectively, significantly higher than that of any single autoantibody.

conclusionThe panel of autoantibodies is more sensitive than single TAA autoantibody detection and may be used as biomarkers for early diagnosis of breast cancer.

Indexed as

Antigens, NeoplasmAutoantibodiesBiomarkers, TumorBreast NeoplasmsCase-Control StudiesEarly Detection of CancerEnzyme-Linked Immunosorbent AssayFemaleHumansMiddle AgedROC CurveAntigens, NeoplasmAutoantibodiesBiomarkers, TumorAutoantibodyBiomarkerBreast cancerEarly prognostic

Identifiers

PMID27778118
OpenAlexW2532943495

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.