| Literature DB >> 23590999 |
Chao Li1, Zhou Wang, Yan Liu, Peng Wang, Runqi Zhang.
Abstract
BACKGROUND: More and more evidences demonstrate the significance of Signal transducers and activators of transcription 3(STAT3) in oncogenesis and tumor development. However, little systematic researches have been reported on the correlation between STAT3 and thymic epithelial tumor (TET).Entities:
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Year: 2013 PMID: 23590999 PMCID: PMC3642012 DOI: 10.1186/1749-8090-8-92
Source DB: PubMed Journal: J Cardiothorac Surg ISSN: 1749-8090 Impact factor: 1.637
Figure 1The expression of STAT3 in TET tissue (SP, ×400).
The expression of STAT3 in TET tissue and peritumoral normal thymic tissue
| TET tissues | 36 | 44 | 80 | 45.00% | | |
| Normal tissues | 1 | 19 | 20 | 5.00% | 10.982 | P = 0.001 |
| Total | 38 | 62 | 100 |
The difference of STAT3 expression in TET tissues and peritumoral normal thymic tissues is significant (P < 0 .01).
Correlation of STAT3 protein expression to clinical pathology of patients
| Age(year) | | | | | 1.359 | >0.05 |
| <60 | 59 | 25 | 34 | 42.37% | | |
| ≥60 | 21 | 9 | 12 | 42.86% | | |
| Gender | | | | | 0.000 | >0.05 |
| Male | 47 | 20 | 27 | 42.55% | | |
| Female | 33 | 14 | 19 | 42.42% | | |
| WHO histologic subtype | | | | | 13.742 | <0.05 |
| A | 5 | 0 | 5 | 0 | | |
| AB | 16 | 4 | 12 | 25.00% | | |
| B1 | 10 | 4 | 6 | 40.00% | | |
| B2 | 17 | 8 | 9 | 44.44% | | |
| B3 | 10 | 4 | 6 | 40.00% | | |
| C | 22 | 16 | 6 | 72.73% | | |
| Masaoka | | | | | 8.623 | <0.05 |
| stage | 33 | 12 | 21 | 36.36% | | |
| Stage I | 14 | 4 | 10 | 25.57% | | |
| Stage II | 29 | 16 | 13 | 55.17% | | |
| Stage III | 4 | 4 | 0 | 100% | | |
| Stage IV | | | | | | |
| Tumor size, d/cm | | | | | 0.235 | >0.05 |
| ≤5 cm | 18 | 9 | 9 | 50.00% | | |
| >5 cm | 62 | 27 | 35 | 43.55% | ||
Statistics showed STAT3 correlated significantly to both WHO classification (χ2 = 13.742, P < 0.05) and Masaoka staging (χ2 = 8.623, P < 0.05), but not to age, gender and tumor mass.
Correlation between STAT3 protein expression and post surgery recurrence/metastasis
| STAT3 protein(+) | 12 | 24 | 36 | | |
| STAT3 protein(−) | 2 | 42 | 44 | | |
| Total | 14 | 66 | 80 | 11.366 | <0.01 |
The ratio of recurrence and metastasis between Stat3 protein positive and negative is significantly different (χ2 = 11.366, P < 0.01).
Figure 2Kaplan-Meier overall survival curve of 80 TET patients.
Figure 3Kaplan-Meier survival curve of patients with STAT3 protein expression positive or negative.
Figure 4Kaplan-Meier survival curve of patients in WHO type B3 and C.
Figure 5Kaplan-Meier survival curve of patients in Masaoka stage III and IV.
Results of Cox regression multiple analysis
| Age | −0.013 | 0.028 | 0.226 | 0.634 | 0.987 | 0.934~1.043 |
| Gender | 0.159 | 0.764 | 0.043 | 0.835 | 1.172 | 0.262~5.241 |
| Mass size | 0.014 | 0.281 | 0.003 | 0.960 | 1.014 | 0.585~1.760 |
| STAT3 expression | 2.233 | 1.110 | 4.043 | 0.044 | 9.325 | 1.058~82.207 |
| Complete excision | 1.884 | 0.773 | 5.936 | 0.015 | 6.578 | 1.445~29.939 |
| WHO type | 0.806 | 0.561 | 2.068 | 0.150 | 2.239 | 0.746~6.717 |
| Masaoka stage | 1.373 | 0.573 | 5.754 | 0.016 | 3.949 | 1.286~12.128 |
B: Regression coefficient; SE: Standard error; Wald: Wald value; P: P value;HR: Hazard ratio; CI: Confidence interval.
Cox regression multiple analysis found the independent prognostic indicators including Masaoka staging (HR = 3.949, P = 0.016), complete excision (HR = 6.578, P = 0.015) and STAT3 protein expression (HR = 9.325, P = 0.044) for TET patients.