Cancer/testis (CT) antigens are immunogenic proteins expressed predominantly in gametogenic tissue and cancer; they are considered promising target molecules for cancer vaccines. The identification of new CT genes is essential to the development of polyvalent cancer vaccines designed to overcome tumor heterogeneity and antigen loss. In the current study, a search for new CT genes was conducted by mining the Unigene database for gene clusters that contain expressed sequence tags derived solely from both normal testis and tumor-derived cDNA libraries. This search identified 1,325 different cancer/testis-associated Unigene clusters. The mRNA expression pattern of 73 cancer/testis-associated Unigene clusters was assessed by reverse transcriptase polymerase chain reaction. Three gene products, CT15/Hs.177959, CT16/Hs.245431 and CT17/Hs.178062, were detected only in testis and in tumor tissue. CT15 is equivalent to ADAM2/fertilin-beta. CT16, an uncharacterized gene product, has homology (30-50%) to members of the GAGE gene family and is 89% identical to CT16.2/Hs.293317, indicating that CT16 and CT16.2 are members of a new GAGE gene family. The uncharacterized gene product, CT17, has homology (30%) to phospholipase A1. RT-PCR analysis showed that CT15 is expressed exclusively in renal cancer, whereas CT16 and CT17 are expressed in a range of human cancers. Real-time RT-PCR analysis of newly defined CT genes and the prototype CT antigens, MAGE-3 and NY-ESO-1, revealed low levels (less than 3% of the level detected in testis) of CT15, CT16 and NY-ESO-1 in a limited range of normal, non-gametogenic tissues. This study demonstrates the merits of database mining with respect to the identification of tissue-restricted gene products expressed in cancer.
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http://dx.doi.org/10.1002/ijc.10276 | DOI Listing |
Front Immunol
January 2025
Xin'an Medicine Research Center, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, China.
Background: is a differentially expressed gene (DEG) between M1 and M2 macrophages. This study explained why it causes opposite effects in different circumstances.
Methods: Gene expression profiles of various cell subsets were compared by mining a public database.
Perspect Clin Res
September 2024
Department of Pharmacy Practice, Faculty of Pharmacy, M. S. Ramaiah University of Applied Sciences, Bengaluru, Karnataka, India.
Background: Antibiotics are among the most commonly prescribed drugs. Unnecessary use of antibiotics is particularly concerning because antibiotics may be associated with a number of adverse drug events.
Aim: The study was designed to detect the association between pulmonary embolism and antibiotics by disproportionality analysis in the Food and Drug Administration database of Adverse Event Reporting System (FAERS) using data mining algorithms (DMAs).
Gastro Hep Adv
September 2024
School of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
Background And Aims: Colorectal cancer (CRC) is the second most deadly cancer globally. The rapidly rising incidence rate of CRC, coupled with increased diagnoses in individuals <50 years, indicates that early detection of CRC, and those at an increased risk of CRC development, is paramount to improve the survival rates of these patients. Here, we profile caspase-4 expression across 2 distinct CRC development pathways, sporadic CRC (sCRC) and inflammatory bowel disease-associated CRC (IBD-CRC), to examine its utility as a novel biomarker for CRC risk and diagnosis.
View Article and Find Full Text PDFComput Biol Med
January 2025
National Institute of Immunology, Aruna Asaf Ali Marg, New Delhi, 110067, India. Electronic address:
The biotransformation of drugs by enzymes from the human microbiome can produce active or inactive products, impacting the bioactivity and function of these drugs inside the human host. However, understanding the biotransformation reactions of drug molecules catalyzed by bacterial enzymes in human microbiota is still limited. Hence, to characterize drug utilization capabilities across all the microbial phyla inside the human gut, we have used a knowledge-based approach to develop HgutMgene-Miner software which predicts xenobiotic metabolizing enzymes (XMEs) through genome mining.
View Article and Find Full Text PDFMicroorganisms
January 2025
Department of Regulatory Science, Graduate School, Kyung Hee University, Seoul 02447, Republic of Korea.
A comprehensive pharmacovigilance surveillance on antibacterials is lacking. This study aims to investigate safety signals of antibacterial-related adverse drug events (ADEs) with seriousness and to identify predictors of serious ADEs. This study investigated 52,503 antibacterial-induced ADEs reported to the Korea Adverse Event Reporting System Database from January 2013 to December 2022.
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