scholarly journals DLC1 expression is reduced in human cutaneous melanoma and correlates with patient survival

2014 ◽  
Vol 27 (9) ◽  
pp. 1203-1211 ◽  
Author(s):  
Cecilia Sjoestroem ◽  
Shahram Khosravi ◽  
Yabin Cheng ◽  
Gholamreza Safaee Ardekani ◽  
Magdalena Martinka ◽  
...  
2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 9560-9560 ◽  
Author(s):  
Georg Brunner ◽  
Thomas M. Falk ◽  
Beyhan Ertas ◽  
Carola Berking ◽  
Hans-Joachim Schulze ◽  
...  

9560 Background: Melanoma staging, as defined by the American Joint Committee on Cancer (AJCC), is limited in its ability to predict outcome. We have previously identified and validated a prognostic gene signature expressed in primary cutaneous melanoma and adjacent stroma. The signature comprises seven protective genes (down-regulated with tumor progression) and one risk-associated gene (up-regulated). A signature-based risk score independently predicts patient survival, across AJCC stages IA-IIIC, in formalin-fixed, paraffin-embedded (FFPE) melanomas (training cohort, n = 125; p = 0.0003, hazard ratio 1.85). The score has been validated in 206 melanomas, selected to be significantly mis-prognosticated by AJCC staging regarding patient survival (40.8% mis-prognostication). In this cohort, the score outperforms AJCC staging (p = 0.0005, hazard ratio 1.41 vs. p = n.s.), correcting 34.9% of AJCC-based mis-prognostications. Methods: Here, we report twofold external validation of the risk score, (i) prognostic performance in silico using the SurvExpress web tool (Aguirre-Gamboa et al., 2013), and (ii) technical performance in vitro(Dermatologikum Hamburg; IMGM Munich) . Results: (i) Kaplan Meier analysis and log-rank testing demonstrated that all signature genes combined predicted survival in four different cohorts of metastatic melanoma (from GEO Expression Omnibus or Cancer Genome Atlas; cohorts dichotomized at the median): see table. (ii) The risk score was re-analyzed in melanomas of the training cohort (n=69). The overall concordance of duplicate determinations was 90% (average scores of 1.12 ± 0.14 and 0.97 ± 0.14). Conclusions: In conclusion, we have validated a signature-based FFPE melanoma risk score, complementary to AJCC staging in predicting outcome: (i) Signature genes predicted patient survival in silico(n=449) (ii) The risk score proved to be reproducible and technically robust in vitro. The score improves risk stratification and decision making in melanoma, particularly regarding new adjuvant therapies. [Table: see text]


2021 ◽  
Vol 151 ◽  
pp. 25-34
Author(s):  
Gongjian Zhu ◽  
Haixiang Su ◽  
Caroline H. Johnson ◽  
Sajid A. Khan ◽  
Harriet Kluger ◽  
...  

2020 ◽  
Vol 9 (5) ◽  
pp. 1383
Author(s):  
Minchan Gil ◽  
Kyung Eun Kim

Ly75 (also known as DEC-205 or CD205) is expressed in immune cells and cancers and involved in tumor immunity. However, clinical relevance of Ly75 expression in skin cutaneous melanoma (SKCM) have not been comprehensively studied. This study analyzed the correlation between Ly75 mRNA expression and patient survival using systematic multiomic analysis tools. Ly75 mRNA expression level was significantly lower in SKCM tissues than in normal tissues. Survival analysis showed that Ly75 expression significantly correlated with good patient survival. To determine possible mechanisms, the association between Ly75 expression and immune cell infiltration was analyzed. Ly75 expression was positively correlated with various infiltrated immune cells, particularly with natural killer (NK) cell infiltration and activation in SKCM. Moreover, analysis of Ly75-co-altered gene expression revealed that Ptprc (CD45) was most significantly correlated with Ly75. Gene ontology analysis of Ly75-co-altered genes indicated the relation to lymphocyte activation, including NK cell activation. Overall, our study provides the first clinical evidence that Ly75 expression is significantly associated with melanoma patient survival and NK cell infiltration, suggesting that Ly75 could be a useful prognostic factor.


1979 ◽  
Vol 115 (7) ◽  
pp. 864-865 ◽  
Author(s):  
M. J. Mastrangelo
Keyword(s):  

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