Evidence map›Paper›PMID 22703285›Full record

ArticleBMC cancer2012

SOXs in human prostate cancer: implication as progression and prognosis factors.

Wei-de Zhong, Guo-qiang Qin, Qi-shan Dai, Zhao-dong Han, Shan-ming Chen, Xiao-hui Ling, Xin Fu, Chao Cai, Jia-hong Chen, Xi-bin Chen and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

45 citing papers in PubMed, 65 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Clinical Significance of SOX10 Expression in Human Pathology.Current issues in molecular biology · 2023
    Review
  6. Article
  7. American journal of cancer research · 2022
    Article
  8. Review
  9. SOX4: The unappreciated oncogene.Seminars in cancer biology · 2020
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. SOX7 Target Genes and Their Contribution to Its Tumor Suppressive Function.International journal of molecular sciences · 2018
    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

15 authors at 4 institutions in 2 countries.

Wei-de ZhongDepartment of Urology, Guangdong Key Laboratory of Clinical Molecular Medicine and Diagnostics, Guangzhou First Municipal People's Hospital, Affiliated Guangzhou Medical College, Guangzhou 510180, China. zhongwd2009@live.cn
Guo-qiang Qin
Qi-shan Dai
Zhao-dong Han
Shan-ming Chen
Xiao-hui Ling
Xin Fu
Chao Cai
Jia-hong Chen
Xi-bin Chen
Zhuo-yuan Lin
Ye-han Deng
Shu-lin Wu
Hui-chan He
Chin-lee Wu
Guangzhou First People's Hospital · CNGuangzhou Medical University · CNHarvard University · USMassachusetts General Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSOX genes play an important role in a number of developmental processes. Potential roles of SOXs have been demonstrated in various neoplastic tissues as tumor suppressors or promoters depending on tumor status and types. The aim of this study was to investigate the involvement of SOXs in the progression and prognosis of human prostate cancer (PCa).

methodsThe gene expression changes of SOXs in human PCa tissues compared with non-cancerous prostate tissues was detected using gene expression microarray, and confirmed by real-time quantitative reverse transcriptase-polymerase chain reaction (QRT-PCR) analysis and immunohositochemistry. The roles of these genes in castration resistance were investigated in LNCaP xenograft model of PCa.

resultsThe microarray analysis identified three genes (SOX7, SOX9 and SOX10) of SOX family that were significantly dis-regulated in common among four PCa specimens. Consistent with the results of the microarray, differential mRNA and protein levels of three selected genes were found in PCa tissues by QRT-PCR analysis and immunohistochemistry. Additionally, we found that the immunohistochemical staining scores of SOX7 in PCa tissues with higher serum PSA level (P = 0.02) and metastasis (P = 0.03) were significantly lower than those with lower serum PSA level and without metastasis; the increased SOX9 protein expression was frequently found in PCa tissues with higher Gleason score (P = 0.02) and higher clinical stage (P < 0.0001); the down-regulation of SOX10 tend to be found in PCa tissues with higher serum PSA levels (P = 0.03) and advanced pathological stage (P = 0.01). Moreover, both univariate and multivariate analyses showed that the down-regulation of SOX7 and the up-regulation of SOX9 were independent predictors of shorter biochemical recurrence-free survival. Furthermore, we discovered that SOX7 was significantly down-regulated and SOX9 was significantly up-regulated during the progression to castration resistance.

conclusionsOur data offer the convince evidence that the dis-regulation of SOX7, SOX9 and SOX10 may be associated with the aggressive progression of PCa. SOX7 and SOX9 may be potential markers for prognosis in PCa patients. Interestingly, the down-regulation of SOX7 and the up-regulation of SOX9 may be important mechanisms for castration-resistant progression of PCa.

Indexed as

AdultAgedAged, 80 and overAnimalsDisease ProgressionGene Expression ProfilingHumansMaleMiceMiddle AgedOrchiectomyPrognosisProstatic HyperplasiaProstatic NeoplasmsReproducibility of ResultsSOX9 Transcription FactorSOX10 protein, humanSOX7 protein, humanSOX9 protein, humanSOX9 Transcription FactorSOXE Transcription FactorsSOXF Transcription FactorsSOX Transcription Factors

Identifiers

PMID22703285
PMCPMC3583167
OpenAlexW2100841018

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.