In:
Neuropathology and Applied Neurobiology, Wiley, Vol. 41, No. 2 ( 2015-02)
Abstract:
We aimed to characterize angiogenesis and proliferation and their correlation with clinical characteristics in a large brain metastasis ( BM ) series. Methods K i67 proliferation index, microvascular density ( MVD ) and hypoxia‐inducible factor 1 alpha ( HIF ‐1 alpha) index were determined by immunohistochemistry in BM and primary tumour specimens. Results Six hundred thirty‐nine BM specimens of 639 patients with lung cancer (344/639; 53.8%), breast cancer (105/639; 16.4%), melanoma (67/639; 10.5%), renal cell carcinoma ( RCC ; 52/639; 8.1%) or colorectal cancer ( CRC ; 71/639; 11.1%) were available. Specimens of the corresponding primary tumour were available in 113/639 (17.7%) cases. Median K i67 index was highest in CRC BM and lowest in RCC BM ( P 〈 0.001). MVD and HIF ‐1 alpha index were both highest in RCC BM and lowest in melanoma BM ( P 〈 0.001). Significantly higher K i67 indices, MVD and HIF ‐1 alpha indices in the BM than in matched primary tumours were observed for breast cancer, non‐small cell lung cancer ( NSCLC ) and CRC . Correlation of tissue‐based parameters with overall survival in individual tumour types showed a favourable and independent prognostic impact of low K i67 index [hazard ratio ( HR ) 1.015; P 〈 0.001] in NSCLC BM and of low K i67 index ( HR 1.027; P = 0.008) and high angiogenic activity ( HR 1.877; P = 0.002) in RCC . Conclusion Our data argue for differential pathobiological and clinical relevance of K i67 index, HIF 1‐alpha index and MVD between primary tumour types in BM patients. An independent prognostic impact of tissue‐based characteristics was observed in patients with BM from NSCLC and RCC , supporting the incorporation of these tissue‐based parameters into diagnosis‐specific prognostic scores.
Type of Medium:
Online Resource
ISSN:
0305-1846
,
1365-2990
DOI:
10.1111/nan.2015.41.issue-2
Language:
English
Publisher:
Wiley
Publication Date:
2015
detail.hit.zdb_id:
2008293-9
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