Evidence map›Paper›PMID 31576477›Full record

ArticleClinical and experimental medicine2019

FGB and FGG derived from plasma exosomes as potential biomarkers to distinguish benign from malignant pulmonary nodules.

Muyu Kuang, Yizhou Peng, Xiaoting Tao, Zilang Zhou, Hengyu Mao, Lingdun Zhuge, Yihua Sun, Huibiao Zhang

Abstract readValidation Study
PubMed Publisher
In one paragraph

Article in Clinical and experimental medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. The Roles of Exosomal Proteins: Classification, Function, and Applications.International journal of molecular sciences · 2023
    Review
  16. Article
  17. Proteomic profiling reveals a distinctive molecular signature for critically ill COVID-19 patients compared with asthma and chronic obstructive pulmonary disease.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
    Article
  18. Article
  19. 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

8 authors at 2 institutions in 1 country.

Muyu KuangHuadong Hospital, Fudan University, Shanghai, China.
Yizhou PengFudan University Shanghai Cancer Center, Shanghai, China.
Xiaoting TaoFudan University Shanghai Cancer Center, Shanghai, China.
Zilang ZhouThe First High School, Xintian County, Hunan, China.
Hengyu MaoFudan University Shanghai Cancer Center, Shanghai, China.
Lingdun ZhugeFudan University Shanghai Cancer Center, Shanghai, China.
Yihua SunFudan University Shanghai Cancer Center, Shanghai, China.
Huibiao ZhangHuadong Hospital, Fudan University, Shanghai, China. huibiao_zhang@163.com.ORCID http://orcid.org/0000-0001-5914-9959
Fudan University Shanghai Cancer Center · CNFudan University · CN

Funding

National Natural Science Foundation of China 81572264
6 · The paper itself

Abstract

Previous proteomic analysis (label-free) of plasma exosomes revealed that the expression of FGG and FGB was significantly higher in the malignant pulmonary nodules group, compared to the benign pulmonary nodules group. The present study was performed to evaluate the role of plasma exosomal proteins FGB and FGG in the diagnosis of benign and malignant pulmonary nodules. We examined the expression levels of FGB and FGG in plasma exosomes from 63 patients before surgery. Postoperative pathological diagnosis confirmed that 43 cases were malignant and 20 cases were benign. The ROC curve was used to describe the sensitivity, specificity, area under the curve (AUC) of the biomarker and the corresponding 95% confidence interval. We confirmed that the expression levels of FGB and FGG were higher in the plasma exosomes of malignant group than in the benign group. The sensitivity and AUC of FGB combined with FGG detection to determine the nature of pulmonary nodules are superior to single FGB or FGG detection. FGB and FGG might represent novel and sensitive biomarker to distinguish benign from malignant pulmonary nodules.

Indexed as

Biomarkers, TumorDiagnostic Tests, RoutineExosomesFemaleFibrinogenHumansLung NeoplasmsMalePlasmaProteomicsROC CurveSensitivity and SpecificityBiomarkers, TumorFGB protein, humanFGG protein, humanFibrinogenExosomeFGBFGGPulmonary nodules

Identifiers

PMID31576477
OpenAlexW2979004800

What OpenQuestion holds

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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.