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Seminoma

Seminoma is a type of testicular germ cell tumor, the most common form of testicular cancer in adults.
It typically presents as a painless, firm testicular mass and is often diagnosed at an early stage.
Seminomas are slow-growing and usually respond well to treatment, which may include surgery, radiation therapy, and/or chemotherapy.
Accurate diagnosis and staging of seminoma are crucial for optimal treatment planning and patient outcomes.
Researchers can leverage PubCompare.ai's AI-driven platform to optimize their seminoma studies by comparing data from literature, preprints, and patents, enhancing reproducibility and research accuracy.

Most cited protocols related to «Seminoma»

Matching global mRNA expression profiles were available for 21 of the 42 pediatric tissue samples examined by miRNA microarray. These represented 17 malignant GCTs (10 YSTs, six seminomas, one EC) and four non-malignant controls, comprising one MT and three normal gonads (one pre- and one post-pubertal testis and one post-pubertal ovary) (Supplementary Table S1). Profiling had previously been performed using the HG-U133A GeneChip (Affymetrix, Santa Clara, CA), comprising 22,283 probe sets corresponding to 13,042 genes. Data for 16 samples had previously been published (2 (link)); the EC, MT and three normal controls were previously unreported (GEO accession: GSE18155). In addition, we re-analyzed published data from a study of adult TGCTs that also used the HG-U133A GeneChip [(26 (link)); GEO accession: GSE3218], excluding two suboptimal YST samples (K14 and K18) (2 (link)). We used data from 25 such specimens, representing eight pure YSTs, 12 pure seminomas and five normal adult testis controls (26 (link)).
Raw mRNA (.CEL) files were processed and quantile normalized using Robust Multi-array Average (RMA) in R (6 (link), 21 (link), 27 (link)), using the Affymetrix annotation of March 2009. RMA-transformed expression values were analyzed for differential expression (24 ) with significance studied by t-test and adjusted for multiple testing (25 ). Pathway enrichment analysis was performed using the Gene Ontology (GO) algorithm3, as it permitted comparison of differentially expressed genes (log2 fold-change <−1.5 and adjusted p<0.01) grouped by the presence or absence of the SCR corresponding to the common 2-7nt seed of the miR-372~373 and miR-302a~d clusters. NCBI Entrez Gene identifiers were evaluated for biological process category over-representation within a total gene universe defined by the HG-U133A annotation library, using the hyperGTest function within the Bioconductor GOstats package (28 (link)). GOterms with adjusted p<0.01 (25 ) were considered statistically significant.
Publication 2010
Adult Biological Processes cDNA Library Cosmic composite resin Gene Chips Genes Gonads Microarray Analysis MicroRNAs Ovary Puberty RNA, Messenger Seminoma Testicular Germ Cell Tumor Testis Tissues
The whole procedure has already been published [15 (link)]. The array was reanalyzed in context of this study. Normalized gene expression intensities of averaged seminomas were substracted from averaged intensities of EC tissues (Seminoma group) and normalized gene expression intensities of averaged ECs were substracted from averaged intensities of seminoma tissues (EC group).
Publication 2015
Gene Expression Seminoma Tissues
Total RNA was isolated as described previously (2 (link)). Sample and human reference (20 (link)) RNA were hybridized to the miRCURY LNA array platform v9.2 (Exiqon, Vedbaek, Denmark). The miRNA GAL file was updated to miRBase v13.01 which annotated 615 probes on the array. The 48 raw miRNA (.txt) data files [Gene Expression Omnibus (GEO) accession number: GSE18155] were processed using the Bioconductor packages limma and ArrayQualityMetrics in R (21 (link), 22 (link)). The median expression value of the quadruplicate spots for each miRNA was calculated after subtraction of background intensities. Within-array (global-loess) and between-array (Aquantile method) normalization was performed (23 (link)) before a contrast matrix defining all pairwise comparisons was fitted (24 ). The data were filtered to exclude low variability probes (median expression value inter-quartile-range <0.6) and subsequently used for unsupervised hierarchical clustering, using a distance measure of 1 minus the Pearson correlation coefficient between samples. For heatmaps, values for each probe were centered by subtracting the mean expression value across samples.
Differential expression was assessed using a moderated t-statistic and p-values adjusted for multiple testing using Benjamini and Hochberg’s method (25 ). miRNAs with adjusted p-values <0.01 were considered statistically significant and differentially expressed. Lists of differentially expressed miRNAs generated for four different comparisons (pediatric malignant GCTs, YSTs, seminomas and EC versus non-malignant control tissue) were subsequently used for Sylamer analysis. Only the most significantly differentially expressed miRNAs (adjusted p<1×10−5) were represented on heatmaps, to enhance visualization of key miRNAs. Taqman qRT-PCR validation of miRNA levels, normalized to RNU24, was performed as previously described (20 (link)).
We compared our findings with published miRNA expression data for adult gonadal GCTs, as obtained by qRT-PCR (14 (link)). The raw cycle threshold (CT) data file was downloaded from the journal website2. After removal of the four spermatocytic seminoma (SS) samples, which do not occur in the pediatric population, miRNA CT values for the remaining 60 adult tissue samples and five GCT CLs were normalized to let-7a (which displayed the least variable expression across all samples), to obtain Δ CT values. The mean of all ΔCT values for all samples was then subtracted to obtain ΔΔCT values, which were used to perform unsupervised hierarchical clustering analysis and to generate lists of differentially expressed genes, employing the criteria used for the pediatric samples.
Publication 2010
Adult Exanthema Gene Expression Genes Gonads Homo sapiens MicroRNAs Seminoma Spermatocytes Tissues
The whole procedure and the microarray data have already been published [12 ]. The microarray data were re-analyzed in context of this study and includes normal testis tissue (n = 4), GCNIS (n = 3), seminomas (N = 4), ECs (n = 3), teratomas (n = 3) and mixed non seminomas (n = 4). All tumors were classified according to the WHO classification of tumors based on their histology and assessment of tumor or GCNIS amount.
Publication 2016
Microarray Analysis Neoplasms Seminoma Teratoma Testis Tissues
Illumina HT-12v4 expression microarray analysis of GCC cell lines and
PRAME knockdown of cells were performed as described previously
(Nettersheim et al, 2015 (link)). All
microarray data are publically available (ncbi.nlm.nih.gov/geo/)
(GSE71269). Each sample was analysed in three replicates. Affymetrix expression
microarray data of GCC tissues have been re-analysed in context of this study
(Eckert et al, 2008 (link)). In total, 4 normal
testis tissues, 3 GCNIS, 4 seminomas, 3 ECs and 3 teratomas were analysed.
Publication 2016
Cell Lines Cell Microarray Analysis Seminoma Teratoma Tissues

Most recents protocols related to «Seminoma»

This retrospective study was approved by the Ethics Committee of The First Ningbo Hospital (2021RS105). A retrospective analysis of 14 cases of primary testicular tumors confirmed by pathology in our hospital from January 2013 to December 2021. Inclusion criteria: (1) confirmed by histopathology; (2) with complete routine ultrasound and CEUS data; (3) age > 50 years. Exclusion criteria: (1) incomplete data: lack of histological and pathological results, incomplete ultrasound images; (2) received non-steroidal anti-inflammatory drugs, radiotherapy, chemotherapy and other immunotherapy; (3) Elevated AFP or HCG. The age ranged from 51 to 67 years old, with an average of (59.6 ± 5.3) years old. According to the pathological results, they were divided into non-germ cell tumor group (lymphoma and Leydig cell tumor) and germ cell tumor group (seminoma and spermatogenic tumor).
Publication 2023
Anti-Inflammatory Agents, Non-Steroidal Ethics Committees, Clinical Immunotherapy Leydig Cell Tumor Lymphoma Neoplasms Pharmacotherapy Radiotherapy Seminoma Spermatogenesis Testicular Neoplasms Tumor, Germ Cell Ultrasonics
The patient population of this retrospective study consisted of all male subjects aged 17–98 years, diagnosed with testicular new growths while undergoing surgery in two Hamburg based urologic departments (Albertinen-Krankenhaus and Asklepios Klinik Altona) during 2012–2021. Patients with previous chemotherapy were excluded. The following data were secured from hospital-based electronic case files: patient’s age (years); histology of the surgical specimen categorized as seminoma (SE), nonseminoma (NS), benign tumor (BT), malignant tumor other than GCT (OM); clinical stage (CS) at diagnosis (only in GCTs); and preoperative elevation of serum tumor markers bHCG, AFP, LDH, M371. The majority of the patients had been included in previous reports on other issues (Dieckmann et al. 2019a (link), 2019b (link), 2018 (link), 2022a (link)).
Histological diagnoses were derived from electronic documents without central pathology review. Clinical stages were filed as CS1; CS2a/b; CS2c; and CS3 according to modern guide-lines (Kliesch et al. 2021 (link)). Serum tumor markers bHCG, AFP, and LDH were measured in hospital laboratories according to institutional standard operating procedures. As test kits were repeatedly replaced for economic reasons during 2012–2021, the normal limits of tumor marker levels had to be adjusted, accordingly. Therefore, we restricted the study of serum tumor markers to a dichotomized analysis (i.e., elevation above the upper limit of norm [ULN] yes/no). The novel marker M371 was measured by quantitative polymerase chain reaction with quantification in relation to endogenous miR-30b-5p, as detailed earlier (Dieckmann et al. 2019a (link)). M371 measurement results were originally documented as relative quantity (RQ) values defining RQ = 5 as ULN. For reasons of methodological conformity, only dichotomized results were recorded (elevated yes/no).
The Ethikkommission der Ärztekammer Hamburg gave ethical approval (PV7288). The need for informed consent of patients was waived, because merely anonymized data were subject to the investigation. All study activities fully complied with the Declaration of Helsinki of the World Medical Association as amended by the 64th General Assembly, October 2013.
Publication 2023
Benign Neoplasm Diagnosis Males Malignant Neoplasms Neoplasms Operative Surgical Procedures Patients Pharmacotherapy Polymerase Chain Reaction Seminoma Serous Neoplasms Serum Tumor Markers
Available data between 1983 and 2018 were provided by the Austrian National Cancer Registry (ANCR). The data set included histology of the tumor entity according to the International Classification of Diseases for Oncology (ICD-O-3, 3rd edition), date of diagnosis, and age of diagnosis. We subclassified the germ cell tumors derived from germ cell neoplasia in situ based on the 2016 update of the World Health Organization pathological classification into seminomas and nonseminomas. Seminomas included seminomas and anaplastic seminomas, while nonseminomas included embryonal carcinoma, yolk-sac tumor, teratoma, choriocarcinoma, and those classified simply as nonseminomatous germ cell tumors and germinal mixed tumors [2] (link).
Publication 2023
Anaplasia Choriocarcinoma Diagnosis Embryonal Carcinoma Malignant Neoplasms Mixed Salivary Gland Tumor Neoplasms NSGCT Nonseminomatous germ cell tumor Seminoma Teratoma Tumor, Germ Cell Yolk Sac Tumor
The SEER database approximates United States demographic composition and cancer incidence by collecting cancer incidence and survival data from population-based cancer registries. Specifically, United States death data are provided from the National Center of Health Statistics (NCHS) to the SEER database including the cause of death [4 ]. Within the SEER database from 2004 to 2019, we selected patients ≥18 years old, who underwent orchiectomy, with histologically confirmed non-seminoma testicular cancer (International Classification of Disease for Oncology [ICD-O] site codes C62.1, C62.9) of pure teratoma (ICD-O-3 histology code 9080/3) or mixed germ cell tumor histology (ICD-O-3 Codes 9085/3) in the primary tumor specimen. Teratoma patients with positive Alpha-Fetoprotein (AFP) or/and beta human chorionic gonadotropin (beta-hCG) tumor markers were excluded (n = 137). Additionally, autopsy only, as well as death certificate only, cases as reporting sources were excluded. Further exclusion criteria consisted of unknown clinical stage, missing follow up and survival data. OS, CSM (i.e., death from testicular cancer) and OCM (i.e., death not attributable to testicular cancer) were defined according to the SEER mortality code [4 ].
Publication 2023
alpha-Fetoproteins Autopsy Chorionic Gonadotropin, beta Subunit, Human Germ Cells Homo sapiens Malignant Neoplasms Mixed Salivary Gland Tumor Neoplasms Orchiectomy Patients Seminoma Teratoma Testicular Cancer Tumor Markers

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Publication 2023
Biological Assay Cell Lines Cells Cultured Cells Culture Media Glutamine Homo sapiens Leydig Cells Mus Oligonucleotides Penicillins RNA, Small Interfering Seminoma Spermatogonia Streptomycin Teratocarcinoma Testis Transfection

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