Evidence map›Paper›PMID 22806545›Full record

ArticleDigestive diseases and sciences2013

Different expression of S100A8 in malignant and benign gallbladder diseases.

Wei Wang, Kai-Xing Ai, Zhou Yuan, Xin-Yu Huang, Hui-Zhen Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Digestive diseases and sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
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, 16 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Wei WangDepartment of General Surgery, Shaoxing People's Hospital, Shaoxing Hospital of Zhejiang University, Zhejiang, 312000, China.
Kai-Xing Ai
Zhou Yuan
Xin-Yu Huang
Hui-Zhen Zhang
Shanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundProteomic analysis is a powerful tool for complete establishment of protein expression. Comparative proteomic analysis of human bile from malignant and benign gallbladder diseases may be helpful in research into gallbladder cancer.

aimsOur objective was to establish biliary protein content for gallbladder cancer, gallbladder adenoma, and chronic calculous cholecystitis for comparative proteomic analysis.

methodsBile samples were collected from patients with gallbladder cancer, gallbladder adenoma, and chronic calculous cholecystitis. Peptides of biliary proteins were separated by two-dimensional liquid chromatography then identified by tandem mass spectrometry.

resultsUp to 544, 221, and 495 unique proteins were identified in bile samples from gallbladder cancer, gallbladder adenoma, and chronic calculous cholecystitis. Forty-three, 16, and 28 proteins with more than one unique peptide, respectively, were identified in the three groups. Among these, 30 proteins including S100A8 were overexpressed in gallbladder cancer, compared with benign gallbladder diseases. We also confirmed, by immunohistochemical analysis, that S100A8 is more abundant in tumor-infiltrating immune cells in cancerous tissue.

conclusionsCompared with benign gallbladder diseases, consistently elevated S100A8 levels in malignant gallbladder bile and tissue indicate that gallbladder cancer is an inflammation-associated cancer. S100A8 may be a biomarker for gallbladder cancer.

Indexed as

AdenomaBileBiomarkers, TumorCalgranulin ACholecystitisChronic DiseaseGallbladder NeoplasmsGene Expression Regulation, NeoplasticHumansImmunohistochemistryProteomicsBiomarkers, TumorCalgranulin A

Identifiers

PMID22806545
OpenAlexW2057649014

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.