We have located links that may give you full text access.
Clinical Study
Journal Article
MAGE-A family expression is correlated with poor survival of patients with lung adenocarcinoma: a retrospective clinical study based on tissue microarray.
Journal of Clinical Pathology 2017 June
OBJECTIVES: As the best characterised cancer/testis antigen family members, melanoma-associated antigens (MAGE) have been reported to be expressed in various malignant tumours. However, the expression pattern of MAGE-A family in lung adenocarcinoma (LAC) specimens and their prognostic and therapeutic significance for patients with LAC is still unclear.
MATERIALS AND METHODS: Tissue microarray-based immunohistochemistry analysis was used to examine the expression of MAGE-A family members (including MAGE-A1, A2, A3, A4, A6, A10, A11 and A12) in 105 paired LAC specimens and the corresponding pericarcinoma specimens. The association between MAGE-A expression and the clinicopathological parameters, and the 10-year overall survival of patients with LAC were analysed. In addition, the association between MAGE-A expression and the epithelial growth factor receptor (EGFR) amplification and ALK-EML4 rearrangements of patients with LAC were also analysed.
RESULTS: The immunohistochemical evaluation revealed that MAGE-A family was expressed in 46.66% of LAC specimens, but not in the corresponding pericarcinoma specimens. MAGE-A expression was not associated with the clinicopathological factors but with worse 10-year survival, and was a poor prognostic marker for patients with LAC. MAGE-A expression was not correlated with EGFR amplification and ALK rearrangements. Interestingly, MAGE-A expression can affect the overall survival of patients with LAC without EGFR amplification or ALK rearrangements, but not affect the overall survival of patients with LAC and EGFR amplification or ALK rearrangements.
CONCLUSIONS: Molecular assessment of MAGE-A family members could be considered to improve the prognostic evaluation and to provide a new potential therapeutic strategy for patients with LAC.
MATERIALS AND METHODS: Tissue microarray-based immunohistochemistry analysis was used to examine the expression of MAGE-A family members (including MAGE-A1, A2, A3, A4, A6, A10, A11 and A12) in 105 paired LAC specimens and the corresponding pericarcinoma specimens. The association between MAGE-A expression and the clinicopathological parameters, and the 10-year overall survival of patients with LAC were analysed. In addition, the association between MAGE-A expression and the epithelial growth factor receptor (EGFR) amplification and ALK-EML4 rearrangements of patients with LAC were also analysed.
RESULTS: The immunohistochemical evaluation revealed that MAGE-A family was expressed in 46.66% of LAC specimens, but not in the corresponding pericarcinoma specimens. MAGE-A expression was not associated with the clinicopathological factors but with worse 10-year survival, and was a poor prognostic marker for patients with LAC. MAGE-A expression was not correlated with EGFR amplification and ALK rearrangements. Interestingly, MAGE-A expression can affect the overall survival of patients with LAC without EGFR amplification or ALK rearrangements, but not affect the overall survival of patients with LAC and EGFR amplification or ALK rearrangements.
CONCLUSIONS: Molecular assessment of MAGE-A family members could be considered to improve the prognostic evaluation and to provide a new potential therapeutic strategy for patients with LAC.
Full text links
Related Resources
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app
All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.
By using this service, you agree to our terms of use and privacy policy.
Your Privacy Choices
You can now claim free CME credits for this literature searchClaim now
Get seemless 1-tap access through your institution/university
For the best experience, use the Read mobile app