RESUMO
Surgical tumor margins are intended to encompass residual tumor cells but may not always accurately delineate the boundary between tumor and normal tissue. Efforts to define tumor margins based on molecular analysis have achieved limited success. Furthermore, no clinical trials have addressed the scope of the tumor microenvironment. Here, we considered the tumor cell population and surrounding microenvironment in delineating tumor margins, classifying breast cancer into tumor and normal zones, and introducing the concept of an interface zone, the region between the invading tumor front and normal tissue, which develops during tumor invasion and metastasis through remodeling of the tumor microenvironment. Pathological signatures of invasion markers in tumor tissues are most dynamic within the invading tumor front. We compared protein profiles of tumor, normal, and interface zones using MALDI-MS. Proteins upregulated in the interface zone were identified by peptide mass fingerprinting and confirmed by database searching with chemically assisted MALDI-PSD spectra. Upregulation was confirmed for RhoGDIα, CAPG, WDR1, and CK8 by Western and immunohistochemical analyses. Our results demonstrate that the molecular profile of the interface zone is unique and suggest that upregulation of proteins here may be related to progression and metastasis of breast carcinomas.
Assuntos
Neoplasias da Mama/química , Neoplasias da Mama/patologia , Proteínas de Neoplasias/análise , Biomarcadores Tumorais/análise , Neoplasias da Mama/cirurgia , Progressão da Doença , Feminino , Inibidores de Dissociação do Nucleotídeo Guanina , Humanos , Proteínas dos Microfilamentos , Metástase Neoplásica , Proteínas Nucleares , Mapeamento de Peptídeos , Proteômica/métodos , Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz , Microambiente Tumoral , Regulação para Cima , Inibidores da Dissociação do Nucleotídeo Guanina rho-EspecíficoRESUMO
The timely diagnosis and therapeutic monitoring of human renal cell carcinoma (RCC) is limited by the lack of specific biomarkers. To identify candidate RCC biomarkers, we used 2-DE gel electrophoresis with mass spectrometry and 2-DE spot intensity-based ROC analysis to analyze 18 sets of paired normal and RCC tumor tissue including conventional, papillary, and chromophobe subtypes. Validation was performed with RCC patient plasma samples and confirmed by clustergram, shRNA, and immunohistochemistry assays. Cardinal candidates were evaluated by ELISA. The leading candidate biomarker that was upregulated in RCC samples according to the clustergram and validation analysis was nicotinamide N-methyltransferase (NNMT) (13/15, P < 0.0001). Other upregulated candidate biomarkers that were identified by this method include ferritin, hNSE, NM23, secretagogin, and L-plastin. The upregulation of NNMT in RCC was confirmed by immunoblotting and immunohistochemistry. Analysis of fractionated membrane-associated proteins identified CAP-G, mitofillin, tubulin alpha, RBBP7, and HSP27. Of these, RBBP7 and HSP27 were highly expressed in the chromophobe subtype of RCC (3/3) but were absent from conventional RCC (0/3). The triple combination of the NNMT, FTL, and hNSE biomarkers had the highest predictive capacity of 0.993, while NNMT was the single, most powerful candidate diagnostic biomarker for all types of RCC.
