The testis cancer proteomeTestis cancer constitutes approximately 1% of cancer in males. Tumors of germ cell origin account for approximately 95% of all testis cancers. Pathology plays a key role in the management of patients with testicular tumors by allowing for accurate classification of tumors to provide the prognostic parameters needed for optimizing decisions regarding treatment and follow-up. Testis cancer is divided into two major categories: seminoma and non-seminomatous germ cell tumors. Seminomas account for approximately 45% of all germ cell tumors and are characterized histologically by evenly spaced and relatively large uniform tumor cells with distinct cell borders. Tumor cell nuclei are often centrally localized and show distinct nuclear membranes and one or two distinct nucleoli. The characteristic tumor stroma in seminoma is built up by a delicate fibrovascular network with thin collagenous septa containing variable amounts of small lymphocytes. Of the non-seminomatous tumors, embryonal carcinoma accounts for 15-30% and represents the second most frequent pure type of testicular cancer. Embryonal cancer displays an acinar, tubular, papillary or solid growth pattern with areas of necrosis, hemorrhage and fibrosis. Tumor cells are highly pleomorphic with large, irregular nuclei and indistinct cell borders. Here, we explore the testis cancer proteome using TCGA transcriptomics data and antibody-based protein data. 57 genes are suggested as prognostic based on transcriptomics data from 134 patients; 42 genes are associated with unfavorable prognosis and 15 genes are associated with favorable prognosis. TCGA data analysisIn this metadata, study we used data from TCGA where transcriptomics data was available from 134 males with seminoma or non-seminomatous germ cell tumors. Most of the patients (130 patients) were still alive at the time of data collection. The stage distribution was i) 55 patients ii) 12 patients iii) 14 patients is) 46 patients and 7 patients with missing stage information. Unfavorable prognostic genes in testis cancerFor unfavorable genes, higher relative expression levels at diagnosis give significantly lower overall survival for the patients. There are 42 genes associated with an unfavorable prognosis in testis cancer. In Table 1, the top 20 most significant genes related to an unfavorable prognosis are listed. CLCN7 is a gene associated with unfavorable prognosis in testis cancer. The best separation is achieved by an expression cutoff at 8.6 fpkm which divides the patients into two groups with 87 % 5-year survival for patients with high expression versus 100 % for patients with low expression (p-value: 3.21e-4 ). Immunohistochemical using an antibody targeting CLCN7 (HPA043586) shows a differential expression pattern in testis cancer samples.
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GIMAP8 is another gene associated with an unfavorable prognosis in testis cancer. The best separation is achieved by an expression cutoff at 6.2 fpkm which divides the patients into two groups with 88 % 5-year survival for patients with high expression versus 100 % for patients with low expression (p-value: 8.47e-4 ). Immunohistochemical staining using an antibody targeting GIMAP8 (HPA014474) shows a differential expression pattern in testis cancer samples.
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Table 1. The 20 genes with highest significance associated with an unfavorable prognosis in testis cancer.
Favorable prognostic genes in testis cancerFor favorable genes, higher relative expression levels at diagnosis give significantly higher overall survival for the patients. There are 15 genes associated with a favorable prognosis in testis cancer. In Table 2, the top 20 most significant genes related to a favorable prognosis are listed. IFT52 is a gene associated with a favorable prognosis in testis cancer. The best separation is achieved by an expression cutoff at 13.2 fpkm which divides the patients into two groups with 100 % 5-year survival for patients with high expression versus 87 % for patients with low expression (p-value: 3.33e-4). Immunohistochemical staining using an antibody targeting IFT52 (HPA067423) shows a differential expression in testis cancer samples.
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Table 2. The 20 genes with highest significance associated with a favorable prognosis in testis cancer.
The testis cancer transcriptomeThe transcriptome analysis shows that 75% (n=15124) of all human genes (n=20162) are expressed in testis cancer. All genes were classified according to the testis cancer-specific expression into one of five different categories, based on the ratio between mRNA levels in testis cancer compared to the mRNA levels in the other 16 analyzed cancer tissues.
Figure 1. The distribution of all genes across the five categories based on transcript abundance in testis cancer as well as in all other cancer tissues. 606 genes show some level of elevated expression in testis cancer compared to other cancers (Figure 1). The elevated category is further subdivided into three categories as shown in Table 3. Table 3. The number of genes in the subdivided categories of elevated expression in testis cancer.
Additional informationNon-seminomatous tumors are further classified as pure or mixed tumors. For mixed tumors, all included components must be defined and reported along with an estimation of the extent of each component. Tumors containing both seminomatous and non-seminomatous components are regarded as non-seminomatous germ cell tumors for treatment purposes. Embryonal carcinoma is a relatively undifferentiated germ cell tumor from which the other more differentiated components are derived. These non-seminomatous components include;
The distinction between different tumor types and components within a testicular tumor is based on microscopical examination and in addition to morphology, immunohistochemistry provides important information. Commonly used antibodies for the differential diagnostics of these tumors include D2-40, OCT 3/4, hCG and AFP in addition to CD30 and markers of intermediate filaments, e.g. cytokeratin and vimentin. Relevant links and publications Uhlen M et al., A pathology atlas of the human cancer transcriptome. Science. (2017) |