MAGEA3

Abstract: Understanding the interactions between tumor and the host immune system is critical to finding prognostic biomarkers, reducing drug resistance, and developing new therapies. Novel computational methods are needed to estimate tumor-infiltrating immune cells and understand tumor–immune interactions in cancers. We analyze tumor-infiltrating immune cells in over 10,000 RNA-seq samples across 23 cancer types from The Cancer Genome Atlas (TCGA). Our computationally inferred immune infiltrates associate much more strongly with patient clinical features, viral infection status, and cancer genetic alterations than other computational approaches. Analysis of cancer/testis antigen expression and CD8 T-cell abundance suggests that MAGEA3 is a potential immune target in melanoma, but not in non-small cell lung cancer, and implicates SPAG5 as an alternative cancer vaccine target in multiple cancers. We find that melanomas expressing high levels of CTLA4 separate into two distinct groups with respect to CD8 T-cell infiltration, which might influence clinical responses to anti-CTLA4 agents. We observe similar dichotomy of TIM3 expression with respect to CD8 T cells in kidney cancer and validate it experimentally. The abundance of immune infiltration, together with our downstream analyses and findings, are accessible through TIMER, a public resource at http://cistrome.org/TIMER . We develop a computational approach to study tumor-infiltrating immune cells and their interactions with cancer cells. Our resource of immune-infiltrate levels, clinical associations, as well as predicted therapeutic markers may inform effective cancer vaccine and checkpoint blockade therapies.

Abstract: Monitoring human antibody recognition of tumor antigens could have potential diagnostic and prognostic significance. Serological analysis of recombinant cDNA expression libraries of human cancer has identified a number of immunogenic tumor antigens. To identify colon cancer antigens associated with a cancer-related serum IgG response, serum samples from 74 patients with colon cancer and 75 normal blood donors were screened for antibody reactivity to 77 serologically defined tumor antigens. The following 13 antigens reacted exclusively with sera from the colon cancer patients and not with sera from normal blood donors: p53, MAGEA3, SSX2, NY-ESO-1, HDAC5, MBD2, TRIP4, NY-CO-45, KNSL6, HIP1R, Seb4D, KIAA1416, and LMNA. Serum samples from 34 of 74 (46%) colon cancer patients detected 1 or more of these 13 antigens. Fifty-three of 74 colon cancer patients were of known clinicopathological stage. Analysis of antibody frequency showed that 5 of 7 (71%) stage I colon cancer patients, 4 of 11 (36%) stage II patients, 2 of 14 (14%) stage III patients, and 11 of 21 (52%) stage IV patients had serum IgG antibody that reacted with 1 or more of the 13 antigens. The mRNA expression patterns of 8 of these 13 antigens were altered in cancer. Three of the 13 antigens were cancer/testis antigens (MAGEA3, SSX2, and NY-ESO-1), which are expressed exclusively in normal gametogenic tissues and aberrantly expressed in a broad range of cancer types. Quantitative real-time reverse transcription-PCR showed that the mRNA expression levels of 2 antigens, HDAC5 and Seb4B, were down-regulated in colon cancer, 2 other antigens, KNSL6 and KIAA1416, were up-regulated, and another antigen, NY-CO-45, showed a variable level of mRNA expression in colon cancer. With regard to KNSL6 mRNA expression, only trace levels were detected in 15 different normal tissues with the exception of testis, which showed a high level of KNSL6 mRNA expression. In contrast, 9 of 9 colon cancer specimens showed overexpression of KNSL6 mRNA, ranging from 5 to 44 times the level detected in normal colon tissue, indicating that this antigen could also be a valuable therapeutic target.

Abstract: Background: Circulating tumor cells (CTCs) have been associated with prognosis especially in breast cancer and have been proposed as a liquid biopsy for repeated follow up examinations. Molecular characterization of CTCs is difficult to address since they are very rare and the amount of available sample is very limited. Methods: We quantified by RT-qPCR CK-19, MAGE-A3, HER-2, TWIST1, hTERT a+b+, and mammaglobin gene transcripts in immunomagnetically positively selected CTCs from 92 breast cancer patients, and 28 healthy individuals. We also compared our results with the CellSearch system in 33 of these patients with early breast cancer. Results: RT-qPCR is highly sensitive and specific and can detect the expression of each individual gene at the one cell level. None of the genes tested was detected in the group of healthy donors. In 66 operable breast cancer patients, CK-19 was detected in 42.4%, HER-2 in 13.6%, MAGE-A3 in 21.2%, hMAM in 13.6%, TWIST-1 in 42.4%, and hTERT a+b+ in 10.2%. In 26 patients with verified metastasis, CK-19 was detected in 53.8%, HER-2 in 19.2%, MAGEA3 in 15.4%, hMAM in 30.8%, TWIST-1 in 38.5% and hTERT a + b + in 19.2%. Our preliminary data on the comparison between RT-qPCR and CellSearch in 33 early breast cancer patients showed that RT-qPCR gives more positive results in respect to CellSearch. Conclusions: Molecular characterization of CTCs has revealed a remarkable heterogeneity of gene expression between breast cancer patients. In a small percentage of patients, CTCs were positive for all six genes tested, while in some patients only one of these genes was expressed. The clinical significance of these findings in early breast cancer remains to be elucidated when the clinical outcome for these patients is known.

Abstract: BACKGROUND The early detection and characterization of metastatic melanoma are important for prognosis and management of the disease. Molecular methods are more sensitive in detecting occult lymph node metastases compared with standard histopathology and are reported to have utility in clinical diagnostics. METHODS Using real-time quantitative reverse transcriptase-polymerase chain reaction ([q]RT-PCR), the authors examined 36 samples (30 melanomas, 4 benign nevi, and 2 reactive lymph nodes) for the expression of 20 melanoma-related genes that function in cell growth and differentiation (epidermal growth factor receptor [EGFR], WNT5A, BRAF, FOS, JUN, MATP, and TMP1), cell proliferation (KI-67, TOP2A, BUB1, BIRC5, and STK6), melanoma progression (CD63, MAGEA3, and GALGT), and melanin synthesis (TYR, MLANA, SILV, PAX3, and MITF). In addition, samples were tested for mutations in BRAF (exons 11 and 15) and NRAS (exons 2 and 3). RESULTS Hierarchical clustering analysis of the expression data was able to distinguish between the melanoma and nonmelanoma samples and further stratified the melanoma samples into two groups differentiated by high expression of the genes involved in β-catenin activation (EGFR and WNT5A) and the MAPK/ERK pathway (BRAF, FOS, and JUN). Eighteen of the 28 patients (64%) were found to have mutations in either exon 15 of BRAF (V599 substitution) or codon 61 of NRAS. The mutations were mutually exclusive and did not appear to be associated with the different expression subtypes. CONCLUSIONS The results of the current study demonstrate that real-time qRT-PCR can be analyzed using hierarchical clustering to identify expression patterns that differentiate between melanomas and other tissue types. Using a supervised analysis of the data, the authors found that the best discriminators for molecularly distinguishing between melanoma, benign nevi, and lymph nodes were MLANA, CD63, and BUB1. These markers could have diagnostic utility for the detection of melanoma micrometastasis in sentinel lymph nodes. Cancer 2005. © 2005 American Cancer Society.