👤 Babu Guda

🔍 Search 📋 Browse 🏷️ Tags ❤️ Favourites ➕ Add 🧬 Extraction
3
Articles
2
Name variants
Also published as: Chittibabu Guda
articles
Prachi Bajpai, Fatme Ghandour, Ekta Jain +10 more · 2025 · Pathology, research and practice · Elsevier · added 2026-04-24
Solid-tubulocystic variant of intrahepatic cholangiocarcinoma (ST-iCCA) is newly described entity characterized by two distinct histologic growth patterns: (1) solid sheets of tumor cells with focal n Show more
Solid-tubulocystic variant of intrahepatic cholangiocarcinoma (ST-iCCA) is newly described entity characterized by two distinct histologic growth patterns: (1) solid sheets of tumor cells with focal necrosis giving pseudopapillary appearance and (2) tubular or pseudoglandular structures containing pink, colloid-like material. Tumor cells are inhibin-positive and harbor NIPBL::NACC1 fusion gene. To date, only 28 cases of ST-iCCA have been documented. While prior molecular studies provided insights into ST-iCCA, genetic profiles of individual histologic components have not been explored. This study presents first transcriptomic analysis comparing the solid/pseudopapillary and pseudoglandular components of ST-iCCA. Two cases of histologically confirmed ST-iCCA were identified for RNA sequencing which was performed on solid/pseudopapillary component, pseudoglandular component, and normal tissue. Analysis revealed distinct gene expression profiles for each pattern. Solid/pseudopapillary component uniquely overexpressed DMRTA1, NEXMIF, PRDM6, SORCS3, and NALF, while pseudoglandular component exhibited unique overexpression of HRG, ITIH3, TAT, APOA2, CP, ALDOB, CPS1, F2, KHG1, SERPINC1, HPX, C9, ADGRF1, MUC21, SAA2, SPRR2A, SAA1, FGL1, CFHR1, and LBP. These findings establish unique gene signatures for these variants of ST-iCCA, providing potential biomarkers for differential diagnosis, prognosis and targeted therapy. The distinct genetic profiles may also uncover novel therapeutic targets to address the aggressive nature of ST-iCCA. Show less
📄 PDF DOI: 10.1016/j.prp.2025.155962
CPS1
Nitish Kumar Mishra, Siddesh Southekal, Chittibabu Guda · 2019 · Frontiers in genetics · Frontiers · added 2026-04-24
Pancreatic ductal adenocarcinoma (PDAC) is the most common and among the deadliest of pancreatic cancers. Its 5-year survival is only ∼8%. Pancreatic cancers are a heterogeneous group of diseases, of Show more
Pancreatic ductal adenocarcinoma (PDAC) is the most common and among the deadliest of pancreatic cancers. Its 5-year survival is only ∼8%. Pancreatic cancers are a heterogeneous group of diseases, of which PDAC is particularly aggressive. Like many other cancers, PDAC also starts as a pre-invasive precursor lesion (known as pancreatic intraepithelial neoplasia, PanIN), which offers an opportunity for both early detection and early treatment. Even advanced PDAC can benefit from prognostic biomarkers. However, reliable biomarkers for early diagnosis or those for prognosis of therapy remain an unfulfilled goal for PDAC. In this study, we selected 153 PDAC patients from the TCGA database and used their clinical, DNA methylation, gene expression, and micro-RNA (miRNA) and long non-coding RNA (lncRNA) expression data for multi-omics analysis. Differential methylations at about 12,000 CpG sites were observed in PDAC tumor genomes, with about 61% of them hypermethylated, predominantly in the promoter regions and in CpG-islands. We correlated promoter methylation and gene expression for mRNAs and identified 17 genes that were previously recognized as PDAC biomarkers. Similarly, several genes (B3GNT3, DMBT1, DEPDC1B) and lncRNAs (PVT1, and GATA6-AS) are strongly correlated with survival, which have not been reported in PDAC before. Other genes such as EFR3B, whose biological roles are not well known in mammals are also found to strongly associated with survival. We further identified 406 promoter methylation target loci associated with patients survival, including known esophageal squamous cell carcinoma biomarkers, cg03234186 (ZNF154), and cg02587316, cg18630667, and cg05020604 (ZNF382). Overall, this is one of the first studies that identified survival associated genes using multi-omics data from PDAC patients. Show less
📄 PDF DOI: 10.3389/fgene.2019.00624
EFR3B
Uppala Radhakrishna, Samet Albayrak, Rita Zafra +9 more · 2019 · PloS one · PLOS · added 2026-04-24
Ventricular Septal Defect (VSD), the most common congenital heart defect, is characterized by a hole in the septum between the right and left ventricles. The pathogenesis of VSD is unknown in most cli Show more
Ventricular Septal Defect (VSD), the most common congenital heart defect, is characterized by a hole in the septum between the right and left ventricles. The pathogenesis of VSD is unknown in most clinical cases. There is a paucity of data relevant to epigenetic changes in VSD. The placenta is a fetal tissue crucial in cardiac development and a potentially useful surrogate for evaluating the development of heart tissue. To understand epigenetic mechanisms that may play a role in the development of VSD, genome-wide DNA methylation assay on placentas of 8 term subjects with isolated VSD and no known or suspected genetic syndromes and 10 unaffected controls was performed using the Illumina HumanMethylation450 BeadChip assay. We identified a total of 80 highly accurate potential CpGs in 80 genes for detection of VSD; area under the receiver operating characteristic curve (AUC ROC) 1.0 with significant 95% CI (FDR) p-values < 0.05 for each individual locus. The biological processes and functions for many of these differentially methylated genes are previously known to be associated with heart development or disease, including cardiac ventricle development (HEY2, ISL1), heart looping (SRF), cardiac muscle cell differentiation (ACTC1, HEY2), cardiac septum development (ISL1), heart morphogenesis (SRF, HEY2, ISL1, HEYL), Notch signaling pathway (HEY2, HEYL), cardiac chamber development (ISL1), and cardiac muscle tissue development (ACTC1, ISL1). In addition, we identified 8 microRNAs that have the potential to be biomarkers for the detection of VSD including: miR-191, miR-548F1, miR-148A, miR-423, miR-92B, miR-611, miR-2110, and miR-548H4. To our knowledge this is the first report in which placental analysis has been used for determining the pathogenesis of and predicting VSD. Show less
📄 PDF DOI: 10.1371/journal.pone.0200229
HEY2