Evidence map›Paper›PMID 27485544›Full record

ArticleBMC cancer2016

Quantitative proteomic analysis for novel biomarkers of buccal squamous cell carcinoma arising in background of oral submucous fibrosis.

Wen Liu, Lijuan Zeng, Ning Li, Fei Wang, Canhua Jiang, Feng Guo, Xinqun Chen, Tong Su, Chunjiao Xu, Shanshan Zhang and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC cancer, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
–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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  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

11 authors.

Wen LiuDepartment of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China.
Lijuan ZengDepartment of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China.
Ning LiDepartment of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China. liningbeta@hotmail.com.
Fei WangDepartment of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China.
Canhua JiangDepartment of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China.
Feng GuoDepartment of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China.
Xinqun ChenDepartment of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China.
Tong SuDepartment of Oral and Maxillofacial Surgery, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China.
Chunjiao XuDepartment of Oral Medicine, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China.
Shanshan ZhangDepartment of Oral Medicine, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China.
Changyun FangDepartment of Oral Medicine, Xiangya Hospital, Central South University, No. 88, Xiangya Road, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn South and Southeast Asian, the majority of buccal squamous cell carcinoma (BSCC) can arise from oral submucous fibrosis (OSF). BSCCs develop in OSF that are often not completely resected, causing local relapse. The aim of our study was to find candidate protein biomarkers to detect OSF and predict prognosis in BSCCs by quantitative proteomics approaches.

methodsWe compared normal oral mucosa (NBM) and paired biopsies of BSCC and OSF by quantitative proteomics using isobaric tags for relative and absolute quantification (iTRAQ) to discover proteins with differential expression. Gene Ontology and KEGG networks were analyzed. The prognostic value of biomarkers was evaluated in 94 BSCCs accompanied with OSF. Significant associations were assessed by Kaplan-Meier survival and Cox-proportional hazards analysis.

resultsIn total 30 proteins were identified with significantly different expression (false discovery rate < 0.05) among three tissues. Two consistently upregulated proteins, ANXA4 and FLNA, were validated. The disease-free survival was negatively associated with the expression of ANXA4 (hazard ratio, 3.4; P = 0.000), FLNA (hazard ratio, 2.1; P = 0.000) and their combination (hazard ratio, 8.8; P = 0.002) in BSCCs.

conclusionThe present study indicates that iTRAQ quantitative proteomics analysis for tissues of BSCC and OSF is a reliable strategy. A significantly up-regulated ANXA4 and FLNA could be not only candidate biomarkers for BSCC prognosis but also potential targets for its therapy.

Indexed as

AdultAnnexin A4AsiaBiomarkersCarcinoma, Squamous CellFemaleFilaminsGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMouth NeoplasmsOral Submucous FibrosisPrognosisProportional Hazards ModelsProtein Interaction MapsAnnexin A4BiomarkersFilaminsFLNA protein, humanAnnexin A4Buccal squamous cell carcinomaFilamin-AOral submucous fibrosisQuantitative proteomic analysis

Identifiers

PMID27485544
PMCPMC4971621

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.