Evidence map›Paper›PMID 17683510›Full record

ArticleCancer science2007

Reduced transthyretin expression in sera of lung cancer.

Liyun Liu, Jifu Liu, Songwei Dai, Xiaomin Wang, Shanshan Wu, Jianing Wang, Lingyun Huang, Xueyuan Xiao, Dacheng He

Abstract read
In one paragraph

Article in Cancer science, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Review
  2. New Predictive Biomarkers for Ovarian Cancer.Diagnostics (Basel, Switzerland) · 2021
    Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Analysis of the differences of serum protein mass spectrometry in patients with triple negative breast cancer and non-triple negative breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Article
  11. Article
  12. Proteomic biomarkers in lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2013
    Review
  13. Article
  14. Article
  15. A multiplexed serum biomarker immunoassay panel discriminates clinical lung cancer patients from high-risk individuals found to be cancer-free by CT screening.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2012
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

9 authors.

Liyun LiuKey laboratory for Cell Proliferation and Regulation Biology, Ministry of Education, Beijing Normal University, Beijing 100875, China.
Jifu Liu
Songwei Dai
Xiaomin Wang
Shanshan Wu
Jianing Wang
Lingyun Huang
Xueyuan Xiao
Dacheng He

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a leading cause of cancer death worldwide, and very few specific biomarkers can be used in its clinical diagnosis. Using surface-enhanced laser desorption-ionization time-of-flight mass spectrometry (MS) to find novel serum biomarkers for lung cancer, we analyzed 227 serum samples, including 146 lung cancers, 41 benign lung diseases and 40 normal individuals. Three peaks, at 13.78, 13.90 and 14.07 k m/z, were significantly lower in lung cancer sera compared with sera from normal individuals (P < 0.001), whereas these peaks were higher than those in the sera of benign lung diseases (P < 0.001). The peaks were identified as native transthyretin (TTR) and its two variants by one-dimensional polyacrylamide gel electrophoresis, ESI-MS/MS, immunoprecipitation and western blot analysis. An enzyme-linked immunosorbent assay indicated that TTR levels were consistent with surface-enhanced laser desorption-ionization analysis in all groups tested. It gave 78.5% sensitivity and 77.5% specificity for lung cancer versus normal at the cut-off point 115 microg/mL, and 66.7% sensitivity and 64.4% specificity for lung cancer versus benign lung diseases at the cut-off point 88.5 microg/mL. Therefore, TTR may be useful as a biomarker to improve the diagnosis of lung cancer.

Indexed as

Biomarkers, TumorAdenocarcinomaAmino Acid SequenceBlotting, WesternCarcinoma, Squamous CellFemaleHumansImmunoprecipitationLungLung NeoplasmsMaleMiddle AgedMolecular Sequence DataPrealbuminProtein Array AnalysisProteomicsBiomarkers, TumorPrealbumin

Identifiers

PMID17683510
PMCPMC11159885

What OpenQuestion holds

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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.