Publications by authors named "Md Manir Hossain Mollah"
Glioblastoma (GBM) is the most malignant brain cancer and one of the leading causes of cancer-related death globally. So, identifying potential molecular signatures and associated drug molecules are crucial for diagnosis and therapies of GBM. This study suggested GBM-causing ten key genes (ASPM, CCNB2, CDK1, AURKA, TOP2A, CHEK1, CDCA8, SMC4, MCM10, and RAD51AP1) from nine transcriptomics datasets by combining supervised and unsupervised learning results.
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- Thyroid carcinoma (THCA) is the most common endocrine cancer in the head and neck, with ongoing research investigating its genetic links and molecular mechanisms, which are still not fully understood.
- While drug therapies are the main treatment for advanced THCA, many patients develop resistance over time, highlighting the need for multi-targeted drug therapies.
- A study identified 80 differentially expressed genes related to THCA and pinpointed eight key genes (some upregulated, some downregulated) that could serve as potential biomarkers for diagnosis and prognosis.
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- The study explores the link between Type 2 diabetes (T2D) and clear-cell renal cell carcinoma (ccRCC), with findings suggesting that both diseases share common key genes (sKGs) that may contribute to their development.
- Researchers identified 259 shared differentially expressed genes and selected ten significant sKGs that showed a connection with DNA methylation patterns that could be linked to ccRCC.
- The study also recommends three repurposable drugs, Digoxin, Imatinib, and Dovitinib, as potential treatments for patients suffering from both T2D and ccRCC, based on molecular analysis.
Background: Identification of differentially expressed genes (DEGs) under two or more experimental conditions is an important task for elucidating the molecular basis of phenotypic variation. In the recent years, next generation sequencing (RNA-seq) has become very attractive and competitive alternative to the microarrays because of reducing the cost of sequencing and limitations of microarrays. A number of methods have been developed for detecting the DEGs from RNA-seq data.
View Article and Find Full Text PDFIdentification of differentially expressed (DE) genes with two or more conditions is an important task for discovery of few biomarker genes. Significance Analysis of Microarrays (SAM) is a popular statistical approach for identification of DE genes for both small- and large-sample cases. However, it is sensitive to outlying gene expressions and produces low power in presence of outliers.
View Article and Find Full Text PDFBackground: Histopathological assessment has a low potential to predict clinical outcome in patients with the same stage of colorectal cancer. More specific and sensitive biomarkers to determine patients' survival are needed. We aimed to determine gene expression signatures as reliable prognostic marker that could predict survival of colorectal cancer patients with Dukes' B and C.
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