Evidence map›Paper›PMID 34530774›Full record

ArticleBMC cancer2021

Comprehensive analysis of the transcriptional expressions and prognostic value of S100A family in pancreatic ductal adenocarcinoma.

Hong-Bin Li, Jian-Li Wang, Xiao-Dong Jin, Lei Zhao, Hui-Li Ye, Yan-Bei Kuang, Yong Ma, Xiang-Yan Jiang, Ze-Yuan Yu

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Oncology research · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Influence of S100A2 in Human Diseases.Diagnostics (Basel, Switzerland) · 2022
    Review
  10. Review
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 at 5 institutions in 1 country.

Hong-Bin Li *School of Life Science and Engineering, Lanzhou University of Technology, Lanzhou, 730050, China.
Jian-Li Wang *Gansu Provincial Cancer Hospital, Gansu Provincial Academic Institute for Medical Research, Lanzhou, 730050, China.
Xiao-Dong JinInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730030, China.
Lei ZhaoCui-ying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, 730030, China.
Hui-Li YeCui-ying Biomedical Research Center, Lanzhou University Second Hospital, Lanzhou, 730030, China.
Yan-Bei KuangInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, 730030, China.
Yong MaDepartment of General Surgery, Gansu Provincial Cancer Hospital Lanzhou University Second Hospital, No.82 Cui-ying Men, Lanzhou, 730030, Gansu Province, China.
Xiang-Yan JiangDepartment of General Surgery, Gansu Provincial Cancer Hospital Lanzhou University Second Hospital, No.82 Cui-ying Men, Lanzhou, 730030, Gansu Province, China.
Ze-Yuan YuDepartment of General Surgery, Gansu Provincial Cancer Hospital Lanzhou University Second Hospital, No.82 Cui-ying Men, Lanzhou, 730030, Gansu Province, China. yuzy17@lzu.edu.cn.
Lanzhou University Second Hospital · CNInstitute of Modern Physics · CNLanzhou University · CNGansu Provincial Cancer Hospital Gansu Provincial Academic Instiute for Medical Research · CNLanzhou University of Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPancreatic ductal adenocarcinoma (PDAC) remains a treatment-refractory malignancy with poor prognosis. It is urgent to identify novel and valid biomarkers to predict the progress and prognosis of PDAC. The S100A family have been identified as being involved in cell proliferation, migration and differentiation progression of various cancer types. However, the expression patterns and prognostic values of S100As in PDAC remain to be analyzed.

methodsWe investigated the transcriptional expressions, methylation level and prognostic value of S100As in PDAC patients from the Oncomine, GEPIA2, Linkedomics and cBioPortal databases. Real-time PCR was used to detect the expressions of S100A2/4/6/10/14/16 in four pancreatic cancer cell lines and pancreatic cancer tissues from PDAC patients undergoing surgery. To verify the results further, immunohistochemistry was used to measure the expression of S100A2/4/6/10/14/16 in 43 PDAC patients' tissue samples. The drug relations of S100As were analyzed by using the Drugbank database.

resultsThe results suggested that, the expression levels of S100A2/4/6/10/14/16 were elevated to PDAC tissues than in normal pancreatic tissues, and the promoter methylation levels of S100A S100A2/4/6/10/14/16 in PDAC (n = 10) were lower compared with normal tissue (n = 184) (P < 0.05). In addition, their expressions were negatively correlated with PDAC patient survival.

conclusionsTaken together, these results suggest that S100A2/4/6/10/14/16 might be served as prognostic biomarkers for survivals of PDAC patients.

Indexed as

AdenocarcinomaAnnexin A2Biomarkers, TumorCalcium-Binding ProteinsCarcinoma, Pancreatic DuctalCell Cycle ProteinsCell Line, TumorChemotactic FactorsDatabases, GeneticDisease ProgressionHumansPancreasPancreatic NeoplasmsPrognosisRNA, MessengerS100 Calcium Binding Protein A10Annexin A2Biomarkers, TumorCalcium-Binding ProteinsCell Cycle ProteinsChemotactic FactorsRNA, MessengerS100A14 protein, humanS100A16 protein, humanS100A2 protein, humanS100A4 protein, humanS100A6 protein, humanS100 Calcium Binding Protein A10S100 Calcium-Binding Protein A4S100 Calcium Binding Protein A6S100 ProteinsBioinformaticsBiomarkersPancreatic ductal adenocarcinomaPrognosisS100A

Identifiers

PMID34530774
PMCPMC8447682
OpenAlexW3126221849

What OpenQuestion holds

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LicenceCC BY
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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.